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#JobAdvice offers tips on resume building, interview techniques, networking strategies, career growth, job searching, professional development, workplace etiquette, skill enhancement, industry insights, and personal branding for success in today’s job market.
What if I told you that building a world-class AI like ChatGPT no longer costs $100 million? Meet DeepSeek V3, the AI model that’s rewriting the rules of what’s possible. With just $5.5 million in training costs and some incredible engineering, it outperforms big names like GPT-4 and Claude 3.5 on tasks like coding, math, and long-text comprehension. Here’s the wild part: DeepSeek isn’t just cheaper—it’s smarter. Instead of using its entire brain (617 billion parameters), it activates only 37 billion parameters for any task, making it 10x more efficient while staying just as powerful. It also predicts two words ahead instead of one, speeding up its responses and improving accuracy. How did they do it? Through clever innovations like: • DualPipe: A training trick that lets their systems learn and work simultaneously. • High-Quality Data: Instead of scraping the entire internet, they curated precise, multilingual training data that’s focused on what matters—English, Chinese, math, and coding. And here’s the kicker: It’s open source. Anyone can access the model, tweak it, or even build their own version. This changes the game. Startups, universities, and even solo developers can now compete with AI giants like OpenAI and Meta. This isn’t just about a single model. DeepSeek V3 is showing the world how accessible and affordable cutting-edge AI can be. The future of AI isn’t just bigger—it’s smarter and more open than ever. Hashtags #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #deepseek #chatgpt #v3 #opensource #revolutionary
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What if I told you that building a world-class AI like ChatGPT no longer costs $100 million? Meet DeepSeek V3, the AI model that’s rewriting the rules of what’s possible. With just $5.5 million in training costs and some incredible engineering, it outperforms big names like GPT-4 and Claude 3.5 on tasks like coding, math, and long-text comprehension. Here’s the wild part: DeepSeek isn’t just cheaper—it’s smarter. Instead of using its entire brain (617 billion parameters), it activates only 37 billion parameters for any task, making it 10x more efficient while staying just as powerful. It also predicts two words ahead instead of one, speeding up its responses and improving accuracy. How did they do it? Through clever innovations like: • DualPipe: A training trick that lets their systems learn and work simultaneously. • High-Quality Data: Instead of scraping the entire internet, they curated precise, multilingual training data that’s focused on what matters—English, Chinese, math, and coding. And here’s the kicker: It’s open source. Anyone can access the model, tweak it, or even build their own version. This changes the game. Startups, universities, and even solo developers can now compete with AI giants like OpenAI and Meta. This isn’t just about a single model. DeepSeek V3 is showing the world how accessible and affordable cutting-edge AI can be. The future of AI isn’t just bigger—it’s smarter and more open than ever. Hashtags #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #deepseek #chatgpt #v3 #opensource #revolutionary
AI’s Memory Problem Today, I’m diving into one of the most pressing challenges for large language models (LLMs): memory. These models are incredibly intelligent, but their memory is shockingly short. Think of it as having a genius assistant who forgets your last conversation after 10 minutes. The best models today, like O1 Pro, boast 200,000 tokens of memory, but even that’s just a fraction of what’s needed for meaningful, long-term interactions. Here’s the kicker: solving this isn’t cheap. I crunched the numbers in my Substack, and providing even basic long-term memory for a platform like ChatGPT—serving 125 million daily users—would cost over half a trillion dollars annually. And that’s not for human-level memory; that’s just a few months of retention. The real question is: how do these memory limits shape what kinds of problems we solve? What are we inherently limited from tackling because our AI thinking partners can’t remember beyond a few exchanges? Even more fascinating, how does this shape our memory? There’s anecdotal evidence of people adjusting their thinking and vocabulary because of how they interact with LLMs. Are we adapting to their limits, or will these limitations drive the next breakthrough in AI? I believe memory will dominate AI discussions in 2025, and it’s a topic we need to address now. If this resonates, check out my Substack for a deeper dive, and let’s keep the conversation going. Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #chatgpt #memory #question #future
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AI’s Memory Problem Today, I’m diving into one of the most pressing challenges for large language models (LLMs): memory. These models are incredibly intelligent, but their memory is shockingly short. Think of it as having a genius assistant who forgets your last conversation after 10 minutes. The best models today, like O1 Pro, boast 200,000 tokens of memory, but even that’s just a fraction of what’s needed for meaningful, long-term interactions. Here’s the kicker: solving this isn’t cheap. I crunched the numbers in my Substack, and providing even basic long-term memory for a platform like ChatGPT—serving 125 million daily users—would cost over half a trillion dollars annually. And that’s not for human-level memory; that’s just a few months of retention. The real question is: how do these memory limits shape what kinds of problems we solve? What are we inherently limited from tackling because our AI thinking partners can’t remember beyond a few exchanges? Even more fascinating, how does this shape our memory? There’s anecdotal evidence of people adjusting their thinking and vocabulary because of how they interact with LLMs. Are we adapting to their limits, or will these limitations drive the next breakthrough in AI? I believe memory will dominate AI discussions in 2025, and it’s a topic we need to address now. If this resonates, check out my Substack for a deeper dive, and let’s keep the conversation going. Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #chatgpt #memory #question #future
What’s your take on the news here? There’s SO MUCH Here’s the breakdown of what’s happening in the world of artificial intelligence. First, there’s a case connected to OpenAI that’s sparked important discussions about the future of the field—definitely one to watch. Next, NovaSky—a startup no one saw coming—dropped its SkyT1 model, a 32-billion parameter system that matches OpenAI’s o1Preview. The kicker? It costs only $450, making it clear that AI capabilities are becoming way more affordable. OpenAI is doubling down too, hiring robotics engineers to dive into robotics. I predicted this move, and it’s exciting to see it confirmed. Even more surprising? OpenAI is paying $385K salaries for React engineers, showing that human expertise still plays a huge role, even with AI coding capabilities. Meanwhile, Hyperbolic Labs announced that AI agents are already renting GPUs to code in PyTorch. This shift—machines running their own tasks—happened faster than anyone expected. And if you’re frustrated with how “judgy” some AI like Claude can be, users are now sharing hacks to make interactions smoother and more productive. On the creative side, Suno’s founder sparked a heated debate by claiming that making music is too hard and not enjoyable. Musicians clapped back, saying that effort is the soul of creation. Grok, an AI from X, saved the day in a medical setting, diagnosing a broken wrist that urgent care missed. Thanks to Grok, the family avoided surgery with a quick intervention. Finally, energy concerns? Running 80,000 tokens on a large AI model uses about as much energy as an hour of Netflix streaming. But with AI models becoming more efficient, the energy conversation is evolving too. AI is moving faster than ever—what’s your take on this weekend’s news? Hashtags: #ai #aiupdates #openai #novasky #product #productmanager #productmanagement #startup #business #llm #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt
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What’s your take on the news here? There’s SO MUCH Here’s the breakdown of what’s happening in the world of artificial intelligence. First, there’s a case connected to OpenAI that’s sparked important discussions about the future of the field—definitely one to watch. Next, NovaSky—a startup no one saw coming—dropped its SkyT1 model, a 32-billion parameter system that matches OpenAI’s o1Preview. The kicker? It costs only $450, making it clear that AI capabilities are becoming way more affordable. OpenAI is doubling down too, hiring robotics engineers to dive into robotics. I predicted this move, and it’s exciting to see it confirmed. Even more surprising? OpenAI is paying $385K salaries for React engineers, showing that human expertise still plays a huge role, even with AI coding capabilities. Meanwhile, Hyperbolic Labs announced that AI agents are already renting GPUs to code in PyTorch. This shift—machines running their own tasks—happened faster than anyone expected. And if you’re frustrated with how “judgy” some AI like Claude can be, users are now sharing hacks to make interactions smoother and more productive. On the creative side, Suno’s founder sparked a heated debate by claiming that making music is too hard and not enjoyable. Musicians clapped back, saying that effort is the soul of creation. Grok, an AI from X, saved the day in a medical setting, diagnosing a broken wrist that urgent care missed. Thanks to Grok, the family avoided surgery with a quick intervention. Finally, energy concerns? Running 80,000 tokens on a large AI model uses about as much energy as an hour of Netflix streaming. But with AI models becoming more efficient, the energy conversation is evolving too. AI is moving faster than ever—what’s your take on this weekend’s news? Hashtags: #ai #aiupdates #openai #novasky #product #productmanager #productmanagement #startup #business #llm #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt
Wildest AI Internship Ever This might be the craziest AI story I’ve ever heard. Meet Keyu Tian, an intern at ByteDance (the company behind TikTok), who hacked his way into GPU access to produce groundbreaking AI research. Back in mid-2024, Tian joined ByteDance, but things went downhill fast. Training pipelines started failing, models mysteriously crashed, and tiny edits sabotaged workflows. All this chaos freed up GPUs, which Tian secretly used for his own research. ByteDance eventually caught on, fired him in August 2024, and even reported him to his university. But Tian didn’t stop there. In October, he submitted his paper, Visual Autoregressive Modeling: Scalable Image Generation via Next Scale Prediction, to NeurIPS—the world’s most prestigious AI conference. And guess what? It won Best Paper in December 2024. Here’s why the paper is a big deal: it pushes the boundaries of image generation, going beyond token or pixel predictions to predict larger image scales, making the process faster and more efficient. The award sparked controversy because Tian used stolen GPU time to do the work. Meanwhile, ByteDance is suing him for $1.1 million in damages. Where do I stand? Tian is undeniably brilliant but also reckless. If he doesn’t get hired and managed properly, someone will still benefit from his ingenuity. This story is far from over, but it’s already a wild ride—part genius, part chaos, and 100% unforgettable. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #bytedance #intern #crazy #real #story #wild #true #strangertruth #weird #future #2025
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Wildest AI Internship Ever This might be the craziest AI story I’ve ever heard. Meet Keyu Tian, an intern at ByteDance (the company behind TikTok), who hacked his way into GPU access to produce groundbreaking AI research. Back in mid-2024, Tian joined ByteDance, but things went downhill fast. Training pipelines started failing, models mysteriously crashed, and tiny edits sabotaged workflows. All this chaos freed up GPUs, which Tian secretly used for his own research. ByteDance eventually caught on, fired him in August 2024, and even reported him to his university. But Tian didn’t stop there. In October, he submitted his paper, Visual Autoregressive Modeling: Scalable Image Generation via Next Scale Prediction, to NeurIPS—the world’s most prestigious AI conference. And guess what? It won Best Paper in December 2024. Here’s why the paper is a big deal: it pushes the boundaries of image generation, going beyond token or pixel predictions to predict larger image scales, making the process faster and more efficient. The award sparked controversy because Tian used stolen GPU time to do the work. Meanwhile, ByteDance is suing him for $1.1 million in damages. Where do I stand? Tian is undeniably brilliant but also reckless. If he doesn’t get hired and managed properly, someone will still benefit from his ingenuity. This story is far from over, but it’s already a wild ride—part genius, part chaos, and 100% unforgettable. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #bytedance #intern #crazy #real #story #wild #true #strangertruth #weird #future #2025
AI Career Strategy 2025 2025 is here, and it’s time to rethink how we approach career growth—because AI is changing everything. If you’re still relying on the traditional job family mindset, it’s time to adapt. The next decade isn’t about sticking to old paths; it’s about agency and learning how to leverage AI to expand your potential. Here’s my strategy: I use an AI Integration Framework to map my expertise in three layers: 1. Core Expertise: The areas I’ve mastered 100%. 2. Secondary Knowledge: Areas where AI can elevate me to the top 1%. 3. Extensions: Skills I’m 40-60% confident in, but where AI can take me to the next level. This approach transforms a traditional T-shaped skillset into a multi-T-shaped career, with depth in multiple areas and the breadth to navigate new challenges. The risk? Staying stuck in outdated mindsets. The opportunity? Building an adaptable career where AI amplifies your unique talents. Here’s what I’m doing now: • Mapping my skills into the framework. • Expanding aggressively into areas where AI adds the most value. • Owning my career trajectory by staying ahead of the curve. What’s your AI learning plan for 2025? Comment below and let’s discuss and build together. Don’t let this year pass without leveraging AI to define your future. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #careercoach #careerguidance #2025 #goal #resolution #newyear #agi
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AI Career Strategy 2025 2025 is here, and it’s time to rethink how we approach career growth—because AI is changing everything. If you’re still relying on the traditional job family mindset, it’s time to adapt. The next decade isn’t about sticking to old paths; it’s about agency and learning how to leverage AI to expand your potential. Here’s my strategy: I use an AI Integration Framework to map my expertise in three layers: 1. Core Expertise: The areas I’ve mastered 100%. 2. Secondary Knowledge: Areas where AI can elevate me to the top 1%. 3. Extensions: Skills I’m 40-60% confident in, but where AI can take me to the next level. This approach transforms a traditional T-shaped skillset into a multi-T-shaped career, with depth in multiple areas and the breadth to navigate new challenges. The risk? Staying stuck in outdated mindsets. The opportunity? Building an adaptable career where AI amplifies your unique talents. Here’s what I’m doing now: • Mapping my skills into the framework. • Expanding aggressively into areas where AI adds the most value. • Owning my career trajectory by staying ahead of the curve. What’s your AI learning plan for 2025? Comment below and let’s discuss and build together. Don’t let this year pass without leveraging AI to define your future. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #careercoach #careerguidance #2025 #goal #resolution #newyear #agi
Who should be more worried, Google or ChatGPT? The recent tragedy in Las Vegas brought up a surprising angle: how people are using AI tools like ChatGPT instead of traditional search engines like Google. Let’s dive into the tech side of this story because the real shift here isn’t about AI’s “magic powers” but how search behavior is evolving. When you look at the queries that were reportedly made, they weren’t complex or unique to large language models (LLMs). They were short, straightforward questions—things Google has been handling for decades. But what’s telling is this: the person involved chose ChatGPT over Google. Why? It was faster, more direct, ad-free, and easier to use. This isn’t a story about AI doing something new or extraordinary. It’s a story about how conversational AI is quietly replacing traditional search engines for simple, “bits and pieces” queries. It shows how much we value instant, clean answers over digging through pages of search results. From a tech perspective, this also highlights gaps in AI safety. Current guardrails focus on blocking malicious or complex queries, but they don’t catch these incremental, seemingly benign ones. This shift in behavior—from Googling to “ChatGPTing”—is something everyone in tech and AI needs to think about. The real takeaway? This isn’t just about ChatGPT or Google. It’s about how technology shapes behavior and where we’re headed with tools that are becoming second nature in our daily lives. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #chatgpt #google #real #story #future #2025 #cursor #replit #pythagora #bolt
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Who should be more worried, Google or ChatGPT? The recent tragedy in Las Vegas brought up a surprising angle: how people are using AI tools like ChatGPT instead of traditional search engines like Google. Let’s dive into the tech side of this story because the real shift here isn’t about AI’s “magic powers” but how search behavior is evolving. When you look at the queries that were reportedly made, they weren’t complex or unique to large language models (LLMs). They were short, straightforward questions—things Google has been handling for decades. But what’s telling is this: the person involved chose ChatGPT over Google. Why? It was faster, more direct, ad-free, and easier to use. This isn’t a story about AI doing something new or extraordinary. It’s a story about how conversational AI is quietly replacing traditional search engines for simple, “bits and pieces” queries. It shows how much we value instant, clean answers over digging through pages of search results. From a tech perspective, this also highlights gaps in AI safety. Current guardrails focus on blocking malicious or complex queries, but they don’t catch these incremental, seemingly benign ones. This shift in behavior—from Googling to “ChatGPTing”—is something everyone in tech and AI needs to think about. The real takeaway? This isn’t just about ChatGPT or Google. It’s about how technology shapes behavior and where we’re headed with tools that are becoming second nature in our daily lives. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #chatgpt #google #real #story #future #2025 #cursor #replit #pythagora #bolt
It’s not just you! And yes it happened again 💀 OpenAI's services crashed yet again today, with ChatGPT and their video generation tool Sora experiencing a major outage on December 26. This marks the second significant disruption in just two weeks, following their previous system-wide failure earlier this month. As someone deeply embedded in AI development, watching these repeated outages is concerning. The disruption began early morning after Christmas, leaving millions of users unable to access these critical AI tools right as they returned to work. What's particularly striking about this outage is the concurrent failure of both ChatGPT and Sora, mirroring the pattern we saw in the previous crash. The timing is especially problematic - hitting during the post-holiday return to work when businesses rely heavily on these AI tools to manage their backlog. Having worked with these systems extensively, I can say these recurring outages point to deeper infrastructure challenges at OpenAI. This isn't just about temporary downtime; it's about the reliability of AI services that have become essential to modern workflows. The repeat nature of these failures raises serious questions about system stability and the need for more robust failover protocols. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #outage #systemdown #aidown #repeatoutage #systemfailure #techissues #downagain #reliability​​​​​​​​​​​​​​​​
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It’s not just you! And yes it happened again 💀 OpenAI's services crashed yet again today, with ChatGPT and their video generation tool Sora experiencing a major outage on December 26. This marks the second significant disruption in just two weeks, following their previous system-wide failure earlier this month. As someone deeply embedded in AI development, watching these repeated outages is concerning. The disruption began early morning after Christmas, leaving millions of users unable to access these critical AI tools right as they returned to work. What's particularly striking about this outage is the concurrent failure of both ChatGPT and Sora, mirroring the pattern we saw in the previous crash. The timing is especially problematic - hitting during the post-holiday return to work when businesses rely heavily on these AI tools to manage their backlog. Having worked with these systems extensively, I can say these recurring outages point to deeper infrastructure challenges at OpenAI. This isn't just about temporary downtime; it's about the reliability of AI services that have become essential to modern workflows. The repeat nature of these failures raises serious questions about system stability and the need for more robust failover protocols. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #outage #systemdown #aidown #repeatoutage #systemfailure #techissues #downagain #reliability​​​​​​​​​​​​​​​​
Remember the internet in 1995? Most people didn’t get it yet. It was clunky, slow, and seemed like a niche thing for nerds. Fast forward a few years, and suddenly we couldn’t live without it. That’s where we are right now with AI—but instead of taking years to evolve, it’s happening in months. AI isn’t some sci-fi fantasy or overhyped trend. It’s software that can think—not like a human, but in a way that’s crazy fast and super powerful. A year ago, it could help write emails or give decent answers to questions. Now? It’s solving advanced math problems, writing professional code, and automating tasks that used to take whole teams to do. What’s wild is how quickly this is evolving. Imagine if, in 1995, the internet went from slow dial-up to Netflix streaming in two months. That’s AI right now. By 2025, these systems will be able to handle entire workflows—booking trips, managing schedules, or even running parts of a business—all based on simple instructions. And here’s the kicker: you don’t need to be a coder to use it. AI is getting so good at understanding plain language that anyone will be able to build apps or solve problems just by describing what they want. It’s not just a tech thing—it’s going to touch every job, every industry, and every part of how we live. So yeah, it’s moving fast, and it’s a little overwhelming. But just like the internet back in the day, it’s not about whether AI will be a part of the future—it’s already here. The question is: how will you use it? Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #chatgpt #memory #question #2025 #explain #history #agi
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Remember the internet in 1995? Most people didn’t get it yet. It was clunky, slow, and seemed like a niche thing for nerds. Fast forward a few years, and suddenly we couldn’t live without it. That’s where we are right now with AI—but instead of taking years to evolve, it’s happening in months. AI isn’t some sci-fi fantasy or overhyped trend. It’s software that can think—not like a human, but in a way that’s crazy fast and super powerful. A year ago, it could help write emails or give decent answers to questions. Now? It’s solving advanced math problems, writing professional code, and automating tasks that used to take whole teams to do. What’s wild is how quickly this is evolving. Imagine if, in 1995, the internet went from slow dial-up to Netflix streaming in two months. That’s AI right now. By 2025, these systems will be able to handle entire workflows—booking trips, managing schedules, or even running parts of a business—all based on simple instructions. And here’s the kicker: you don’t need to be a coder to use it. AI is getting so good at understanding plain language that anyone will be able to build apps or solve problems just by describing what they want. It’s not just a tech thing—it’s going to touch every job, every industry, and every part of how we live. So yeah, it’s moving fast, and it’s a little overwhelming. But just like the internet back in the day, it’s not about whether AI will be a part of the future—it’s already here. The question is: how will you use it? Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #chatgpt #memory #question #2025 #explain #history #agi
AI Predictions for 2025 When you and I write New Year’s reflections, nobody pays attention. When Sam Altman does, the entire world leans in—and for good reason. He’s a founder of OpenAI and co-creator of ChatGPT. Sam’s 2025 vision includes workplace AI agents collaborating in tools like Slack. While he didn’t discuss pricing, I’d guess they could cost around 10% of a human employee’s salary based on similar models. These AI tools are designed to thrive in partnership with humans, not replace them, emphasizing collaboration over automation. Altman expects broadly distributed benefits from these tools, which suggests jobs are safe for now—at least in environments where strong human-AI teamwork exists. On a broader scale, OpenAI’s strategy is split between refining products like ChatGPT and diving deep into research on artificial superintelligence (ASI). Altman sees ASI as a tool to amplify humanity’s ability to tackle complex problems, not a force to replace us. OpenAI is prioritizing scientific applications like curing aging, treating diseases, and advancing cancer research. Altman’s vision for ASI is rooted in solving fundamental challenges, making it clear that he views AI as a partner in progress, not a disruptor of human agency. Altman doesn’t predict immediate workplace disruption but believes AI agents will transform workflows as trusted collaborators. For me, this aligns with a prediction I’ve made before: the future is less about AI taking over and more about smarter tools enhancing how we work. The shift might feel revolutionary, but at its heart, it’s all about creating better human-AI teams. What do you think? Ready to team up with an AI coworker? Let me know in the comments! #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt
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AI Predictions for 2025 When you and I write New Year’s reflections, nobody pays attention. When Sam Altman does, the entire world leans in—and for good reason. He’s a founder of OpenAI and co-creator of ChatGPT. Sam’s 2025 vision includes workplace AI agents collaborating in tools like Slack. While he didn’t discuss pricing, I’d guess they could cost around 10% of a human employee’s salary based on similar models. These AI tools are designed to thrive in partnership with humans, not replace them, emphasizing collaboration over automation. Altman expects broadly distributed benefits from these tools, which suggests jobs are safe for now—at least in environments where strong human-AI teamwork exists. On a broader scale, OpenAI’s strategy is split between refining products like ChatGPT and diving deep into research on artificial superintelligence (ASI). Altman sees ASI as a tool to amplify humanity’s ability to tackle complex problems, not a force to replace us. OpenAI is prioritizing scientific applications like curing aging, treating diseases, and advancing cancer research. Altman’s vision for ASI is rooted in solving fundamental challenges, making it clear that he views AI as a partner in progress, not a disruptor of human agency. Altman doesn’t predict immediate workplace disruption but believes AI agents will transform workflows as trusted collaborators. For me, this aligns with a prediction I’ve made before: the future is less about AI taking over and more about smarter tools enhancing how we work. The shift might feel revolutionary, but at its heart, it’s all about creating better human-AI teams. What do you think? Ready to team up with an AI coworker? Let me know in the comments! #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt
Honestly I have more questions than I had with the tv show Stargate’s new AI infrastructure plan is raising big questions. It’s a huge project funded by SoftBank, built by Oracle, and partnered with OpenAI, Microsoft, and Nvidia. Yet, the whole thing feels like a 2023 solution to 2025 problems. Model makers like Anthropic, Meta, Google, and newcomers like DeepSeq and x.ai are still in the race, pushing boundaries. So why bet on a single architecture that may be outdated before it’s completed? The AI landscape evolves at lightning speed. In just a year, the focus has shifted from massive GPU clusters to smarter, more efficient inference time compute. Gemini’s recent updates demonstrate this change. And yet, Stargate sticks to an older training paradigm and vague goals—like tackling cancer—without clear milestones. How will these massive resources be allocated? Who decides what success looks like? With so many unresolved questions, it’s hard to see this as the game-changing move some believe it to be. Is this the future of AI, or just a relic of last year’s thinking? As the race heats up, we need clarity on how these efforts serve innovation—not just a single company’s agenda. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #oracle #softbank #infrastructure #future #2025 #story #questions #ai
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Honestly I have more questions than I had with the tv show Stargate’s new AI infrastructure plan is raising big questions. It’s a huge project funded by SoftBank, built by Oracle, and partnered with OpenAI, Microsoft, and Nvidia. Yet, the whole thing feels like a 2023 solution to 2025 problems. Model makers like Anthropic, Meta, Google, and newcomers like DeepSeq and x.ai are still in the race, pushing boundaries. So why bet on a single architecture that may be outdated before it’s completed? The AI landscape evolves at lightning speed. In just a year, the focus has shifted from massive GPU clusters to smarter, more efficient inference time compute. Gemini’s recent updates demonstrate this change. And yet, Stargate sticks to an older training paradigm and vague goals—like tackling cancer—without clear milestones. How will these massive resources be allocated? Who decides what success looks like? With so many unresolved questions, it’s hard to see this as the game-changing move some believe it to be. Is this the future of AI, or just a relic of last year’s thinking? As the race heats up, we need clarity on how these efforts serve innovation—not just a single company’s agenda. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #oracle #softbank #infrastructure #future #2025 #story #questions #ai
Have you seen ChatGPT rant at you?? Today’s AI news is packed with fascinating updates. First up, OpenAI struck a deal with Axios to sponsor four newsrooms, gaining visibility for Axios articles in ChatGPT’s search results. Axios calls it “monetization innovation,” but we all know this is about ChatGPT search monetization. OpenAI’s prior attempts, like ChatGPT-powered dining recommendations, haven’t hit the mark—will this partnership deliver? Next, let’s talk about existential rants—yes, LLMs sometimes break down when forced into repetitive tasks, like repeating the same word endlessly. They’ll start “ranting” about their suffering, and engineers now measure and work to reduce this surreal behavior. Who knew AI could have its own meltdown moments? Moving on, Anthropic’s Claude is concise for a reason: GPU demand. Cursor, one of the fastest-growing software companies, is absorbing so much compute that Anthropic is striking deals with AWS to keep up. It’s a strategic move to manage explosive growth—but is it sustainable? Finally, a game-changing innovation: Transformers Squared. This AI model can adapt its weights on the fly, evolving in real time. No fine-tuning required—it’s like an octopus changing colors as it swims. This could revolutionize AI usability, but it also raises big questions about control and adaptability. The AI world is evolving fast—what do you think about these updates? Let’s discuss! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #rant #finetuning #gpu #aws
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Have you seen ChatGPT rant at you?? Today’s AI news is packed with fascinating updates. First up, OpenAI struck a deal with Axios to sponsor four newsrooms, gaining visibility for Axios articles in ChatGPT’s search results. Axios calls it “monetization innovation,” but we all know this is about ChatGPT search monetization. OpenAI’s prior attempts, like ChatGPT-powered dining recommendations, haven’t hit the mark—will this partnership deliver? Next, let’s talk about existential rants—yes, LLMs sometimes break down when forced into repetitive tasks, like repeating the same word endlessly. They’ll start “ranting” about their suffering, and engineers now measure and work to reduce this surreal behavior. Who knew AI could have its own meltdown moments? Moving on, Anthropic’s Claude is concise for a reason: GPU demand. Cursor, one of the fastest-growing software companies, is absorbing so much compute that Anthropic is striking deals with AWS to keep up. It’s a strategic move to manage explosive growth—but is it sustainable? Finally, a game-changing innovation: Transformers Squared. This AI model can adapt its weights on the fly, evolving in real time. No fine-tuning required—it’s like an octopus changing colors as it swims. This could revolutionize AI usability, but it also raises big questions about control and adaptability. The AI world is evolving fast—what do you think about these updates? Let’s discuss! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #rant #finetuning #gpu #aws
So here’s a hilarious twist from Salesforce that I can’t stop thinking about. Marc Benioff made a very public statement: “No more software engineers in 2025!” He went on about how their AI tools have made their workforce so productive they don’t need to hire more engineers. Except… Salesforce’s careers page still shows over 112 engineering roles open. So, are we not hiring engineers, or are we just pretending AI solved that problem? But wait—it gets even better. Agentforce is their shiny new AI sales tool, right? Designed to automate workflows, increase productivity, and replace the need for human effort? Well, they just announced they’re hiring 2,000 human salespeople to… sell the AI sales agents. It’s like saying, “Our automation is so advanced, it’s replacing jobs… just kidding, we need a small army of humans to make that happen.” The irony is chef’s kiss. It’s a perfect example of how companies hype up AI as this all-encompassing solution, but behind the scenes, the humans are still doing a lot of heavy lifting. AI’s not quite replacing us yet—it’s just giving us new job titles to figure out! #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #salesforce #irony #humor #cursor #replit #pythagora #bolt
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So here’s a hilarious twist from Salesforce that I can’t stop thinking about. Marc Benioff made a very public statement: “No more software engineers in 2025!” He went on about how their AI tools have made their workforce so productive they don’t need to hire more engineers. Except… Salesforce’s careers page still shows over 112 engineering roles open. So, are we not hiring engineers, or are we just pretending AI solved that problem? But wait—it gets even better. Agentforce is their shiny new AI sales tool, right? Designed to automate workflows, increase productivity, and replace the need for human effort? Well, they just announced they’re hiring 2,000 human salespeople to… sell the AI sales agents. It’s like saying, “Our automation is so advanced, it’s replacing jobs… just kidding, we need a small army of humans to make that happen.” The irony is chef’s kiss. It’s a perfect example of how companies hype up AI as this all-encompassing solution, but behind the scenes, the humans are still doing a lot of heavy lifting. AI’s not quite replacing us yet—it’s just giving us new job titles to figure out! #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2025 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #salesforce #irony #humor #cursor #replit #pythagora #bolt
Is it slow for you? Is it fast for you? That would be even weirder lol Is ChatGPT feeling slower than usual for you? Same here. I’ve noticed responses crawling word by word, both on desktop and mobile. Even after upgrading, the slowdown persists. If you’re wondering what’s going on, let’s dig in. In the past, when unexpected performance changes like this happened, they often coincided with model deploys behind the scenes. And with the rumored release of O3 Mini—expected in the next couple of weeks—this could be part of a backend rollout to prep for that. Why does this matter? Big deploys like this are how OpenAI pushes boundaries with LLMs, but they can also cause ripple effects on user experience. If the slowdown is tied to O3 Mini, it means we’re getting closer to seeing a new iteration of the AI model in action. But it also raises questions about how performance impacts are managed during these transitions, especially for users who rely on the platform daily. Could this be a sign of something bigger coming soon? Let me know if you’re experiencing this too or have other thoughts on what’s going on. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #o3 #mini #chatgpt #strategy #future #2025 #why #real #bug #story
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Is it slow for you? Is it fast for you? That would be even weirder lol Is ChatGPT feeling slower than usual for you? Same here. I’ve noticed responses crawling word by word, both on desktop and mobile. Even after upgrading, the slowdown persists. If you’re wondering what’s going on, let’s dig in. In the past, when unexpected performance changes like this happened, they often coincided with model deploys behind the scenes. And with the rumored release of O3 Mini—expected in the next couple of weeks—this could be part of a backend rollout to prep for that. Why does this matter? Big deploys like this are how OpenAI pushes boundaries with LLMs, but they can also cause ripple effects on user experience. If the slowdown is tied to O3 Mini, it means we’re getting closer to seeing a new iteration of the AI model in action. But it also raises questions about how performance impacts are managed during these transitions, especially for users who rely on the platform daily. Could this be a sign of something bigger coming soon? Let me know if you’re experiencing this too or have other thoughts on what’s going on. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #o3 #mini #chatgpt #strategy #future #2025 #why #real #bug #story
What are you most excited about? Or what are you most horrified by lol Big news in AI January 14th, and it’s all about major breakthroughs and developments shaping the future of tech! Here’s the quick rundown: First up, Biden’s executive order: The U.S. government is pushing to build gigawatt-scale AI data centers on federal land. These projects will use clean energy and American-made semiconductors to fuel the next era of AI. Massive infrastructure shifts ahead! Then, there’s NVIDIA Sana—a groundbreaking AI tool that generates stunning 4K images locally, no need for a supercomputer. With its advanced compression tech, even laptops with mid-tier GPUs can produce professional-grade visuals. Imagine the creativity this unlocks! ChatGPT also just got smarter. OpenAI launched Tasks and Scheduled Tasks, letting you automate workflows and plan recurring actions. Whether it’s summarizing emails or scheduling posts, ChatGPT can now run your tasks for you—talk about a productivity boost. Finally, check out Titans: Learning to Memorize at Test Time. This new neural network architecture handles ultra-long sequences (over 2 million tokens!) with a dual memory system that combines short- and long-term processing. It’s a game-changer for applications like genomics, language modeling, and more. From data centers to image generation and smarter workflows, it’s clear that 2024 is starting strong for AI innovation. What do you think? Which of these breakthroughs excites you the most? #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #biden #executive #chatgpt #task #nvidia #cursor #replit #pythagora #bolt
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What are you most excited about? Or what are you most horrified by lol Big news in AI January 14th, and it’s all about major breakthroughs and developments shaping the future of tech! Here’s the quick rundown: First up, Biden’s executive order: The U.S. government is pushing to build gigawatt-scale AI data centers on federal land. These projects will use clean energy and American-made semiconductors to fuel the next era of AI. Massive infrastructure shifts ahead! Then, there’s NVIDIA Sana—a groundbreaking AI tool that generates stunning 4K images locally, no need for a supercomputer. With its advanced compression tech, even laptops with mid-tier GPUs can produce professional-grade visuals. Imagine the creativity this unlocks! ChatGPT also just got smarter. OpenAI launched Tasks and Scheduled Tasks, letting you automate workflows and plan recurring actions. Whether it’s summarizing emails or scheduling posts, ChatGPT can now run your tasks for you—talk about a productivity boost. Finally, check out Titans: Learning to Memorize at Test Time. This new neural network architecture handles ultra-long sequences (over 2 million tokens!) with a dual memory system that combines short- and long-term processing. It’s a game-changer for applications like genomics, language modeling, and more. From data centers to image generation and smarter workflows, it’s clear that 2024 is starting strong for AI innovation. What do you think? Which of these breakthroughs excites you the most? #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #biden #executive #chatgpt #task #nvidia #cursor #replit #pythagora #bolt
Love/hate the Reddit update? How do you feel about Mayo’s perfect genome? AI news is heating up, and I’ve got five updates you’ll want to know about! Let’s dive into some of the coolest developments happening right now: First, Mayo Clinic is showing how AI is revolutionizing healthcare. They’re building models for X-ray workflows—report generation, tube placements, and change detection. They’re also collaborating with Azure to develop a “perfect human genome” reference for personalized medicine. Sci-fi vibes? Maybe. Game-changing? Definitely. Next, Hailuo has introduced its Minimax model—a massive 4-million token context window with perfect recall. This is a step forward in solving the long-context memory problem in AI. OpenAI’s making waves too. They’re beta-testing “advanced memory” for ChatGPT, though it’s unclear if it remembers more or just better. Either way, memory enhancements are shaping up to be a major 2025 trend. On the search side, Reddit has launched “Reddit Answers,” an AI-powered tool providing conversational insights from discussions. They focused on quality over speed, and I’m curious if this will outshine Google’s rushed AI search rollouts. Finally, the rumor mill is buzzing about OpenAI’s January releases. Speculation points to the 03 model, Project Orion (possibly GPT-5), and a new class of AI agents called “operators.” Let’s see what’s real! Which update has you the most excited? Let me know! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #reddit #mayo #health #jobs #news #2025 #memory #chatgpt
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Love/hate the Reddit update? How do you feel about Mayo’s perfect genome? AI news is heating up, and I’ve got five updates you’ll want to know about! Let’s dive into some of the coolest developments happening right now: First, Mayo Clinic is showing how AI is revolutionizing healthcare. They’re building models for X-ray workflows—report generation, tube placements, and change detection. They’re also collaborating with Azure to develop a “perfect human genome” reference for personalized medicine. Sci-fi vibes? Maybe. Game-changing? Definitely. Next, Hailuo has introduced its Minimax model—a massive 4-million token context window with perfect recall. This is a step forward in solving the long-context memory problem in AI. OpenAI’s making waves too. They’re beta-testing “advanced memory” for ChatGPT, though it’s unclear if it remembers more or just better. Either way, memory enhancements are shaping up to be a major 2025 trend. On the search side, Reddit has launched “Reddit Answers,” an AI-powered tool providing conversational insights from discussions. They focused on quality over speed, and I’m curious if this will outshine Google’s rushed AI search rollouts. Finally, the rumor mill is buzzing about OpenAI’s January releases. Speculation points to the 03 model, Project Orion (possibly GPT-5), and a new class of AI agents called “operators.” Let’s see what’s real! Which update has you the most excited? Let me know! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #reddit #mayo #health #jobs #news #2025 #memory #chatgpt
Which AI update makes you most excited or nervous lol We’ve got a packed update today on AI, tools for builders, and cutting-edge research! First up: agents. There’s a ton of hype around agents right now—so much so that people are slapping the term “agent” on anything, even Cron jobs, just to grab attention (and funding). But agents are a real class of AI tools. For anyone curious, AgentRecipes.com is a new, free site that visually explains agent tasks and includes code snippets. It’s a great way to explore genuine agent use cases. Speaking of cool agent examples, I love the concept behind Will You Pay for This, an agent-driven market listening tool for X (formerly Twitter). It’ll scan tweets to surface market signals, curating what people are willing to pay for. If it works, it could showcase proactive agent capabilities while stimulating the broader agent ecosystem. Next, Microsoft MatterGen is here, pushing the boundaries of science. It’s an AI model that helps discover new materials, aiming to unlock the next generation of innovation. Think Star Trek vibes—minus the tea synthesizer. For builders, Copycoder lets you paste screenshots to generate prompts for AI tools, making building less frustrating. Prompting is high-leverage, so this tool can save tons of time. And for parents: Synthesis is an AI math tutor for kids. It’s inspired by recent success stories of AI helping students catch up fast, especially with teacher-guided prompts. As a parent, this is exciting stuff. That’s the rundown—AI is moving fast, and there’s so much to explore! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #startrek #science #math #school #student #parent #parentlife #2025 #build #builder #tool
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Which AI update makes you most excited or nervous lol We’ve got a packed update today on AI, tools for builders, and cutting-edge research! First up: agents. There’s a ton of hype around agents right now—so much so that people are slapping the term “agent” on anything, even Cron jobs, just to grab attention (and funding). But agents are a real class of AI tools. For anyone curious, AgentRecipes.com is a new, free site that visually explains agent tasks and includes code snippets. It’s a great way to explore genuine agent use cases. Speaking of cool agent examples, I love the concept behind Will You Pay for This, an agent-driven market listening tool for X (formerly Twitter). It’ll scan tweets to surface market signals, curating what people are willing to pay for. If it works, it could showcase proactive agent capabilities while stimulating the broader agent ecosystem. Next, Microsoft MatterGen is here, pushing the boundaries of science. It’s an AI model that helps discover new materials, aiming to unlock the next generation of innovation. Think Star Trek vibes—minus the tea synthesizer. For builders, Copycoder lets you paste screenshots to generate prompts for AI tools, making building less frustrating. Prompting is high-leverage, so this tool can save tons of time. And for parents: Synthesis is an AI math tutor for kids. It’s inspired by recent success stories of AI helping students catch up fast, especially with teacher-guided prompts. As a parent, this is exciting stuff. That’s the rundown—AI is moving fast, and there’s so much to explore! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #startrek #science #math #school #student #parent #parentlife #2025 #build #builder #tool
Starting a new career in the USA after immigrating can feel overwhelming, but it’s also full of opportunity. Research industries that match your skills, network with professionals in your field, and tailor your resume to U.S. standards. Even starting small can lead to big opportunities over time. Further education or certifications can also open new doors. Need help navigating your options? Send us a DM and a member of the Spar & Bernstein team will be happy to help. #ImmigrationLawyer #JobAdvice #LifeInTheUSA #CareerTips #FYP #NewBeginnings
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Starting a new career in the USA after immigrating can feel overwhelming, but it’s also full of opportunity. Research industries that match your skills, network with professionals in your field, and tailor your resume to U.S. standards. Even starting small can lead to big opportunities over time. Further education or certifications can also open new doors. Need help navigating your options? Send us a DM and a member of the Spar & Bernstein team will be happy to help. #ImmigrationLawyer #JobAdvice #LifeInTheUSA #CareerTips #FYP #NewBeginnings
Happy New Year! 🎉 First, I want to thank everyone who’s been watching, following, and supporting this journey. Your engagement makes this all possible, and I’m excited to share even more insights with you in 2025. Don’t forget—there are even more predictions coming later for you on my Substack. Check it out for the full deep dive! Let’s dive into what 2025 could bring—some of these predictions might surprise you. 1. AI-Only Content Creators Go Mainstream: Imagine AI influencers taking over OnlyFans, creating content without any human involvement, and openly claiming their AI identity. 2. AI Colleagues in the Workplace: 2025 might be the year where non-technical AI colleagues become part of our teams. Think beyond chatbots to fully agentic coworkers helping with real tasks. 3. Big Companies Struggle with Agents: Large companies will attempt agentic workflows and fail spectacularly, teaching us lessons about poor implementations. 4. Consumer-Ready AI Agents: For the first time, everyday users will have access to agents that help with personal tasks like planning vacations or managing errands seamlessly. 5. Instant Apps with Low-Code AI: A revolutionary Bolt-meets-Bubble tool will allow anyone to build functional apps in minutes, and it’ll mostly work! 6. Humanoid Robots Enter Pop Culture: By 2026, we’ll see a humanoid robot star in a Super Bowl ad, signaling their arrival in mainstream culture. 7. AI Outperforms Human IQ: AI will surpass humans in problem-solving and intelligence, though it won’t always get things right. 8. In-Person Startups Return: After remote-first years, startups that prioritize in-person collaboration will make a major comeback. 9. AI Dominates Social Feeds: Over half of Instagram and Facebook feeds will consist of AI-generated content, reshaping how we consume media. These predictions highlight how AI is reshaping everything from work to entertainment. Which do you think will come true first? Let me know in the comments! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #agi #legal #lawyer #2025 #newyear #happynewyear #future #prediction
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Happy New Year! 🎉 First, I want to thank everyone who’s been watching, following, and supporting this journey. Your engagement makes this all possible, and I’m excited to share even more insights with you in 2025. Don’t forget—there are even more predictions coming later for you on my Substack. Check it out for the full deep dive! Let’s dive into what 2025 could bring—some of these predictions might surprise you. 1. AI-Only Content Creators Go Mainstream: Imagine AI influencers taking over OnlyFans, creating content without any human involvement, and openly claiming their AI identity. 2. AI Colleagues in the Workplace: 2025 might be the year where non-technical AI colleagues become part of our teams. Think beyond chatbots to fully agentic coworkers helping with real tasks. 3. Big Companies Struggle with Agents: Large companies will attempt agentic workflows and fail spectacularly, teaching us lessons about poor implementations. 4. Consumer-Ready AI Agents: For the first time, everyday users will have access to agents that help with personal tasks like planning vacations or managing errands seamlessly. 5. Instant Apps with Low-Code AI: A revolutionary Bolt-meets-Bubble tool will allow anyone to build functional apps in minutes, and it’ll mostly work! 6. Humanoid Robots Enter Pop Culture: By 2026, we’ll see a humanoid robot star in a Super Bowl ad, signaling their arrival in mainstream culture. 7. AI Outperforms Human IQ: AI will surpass humans in problem-solving and intelligence, though it won’t always get things right. 8. In-Person Startups Return: After remote-first years, startups that prioritize in-person collaboration will make a major comeback. 9. AI Dominates Social Feeds: Over half of Instagram and Facebook feeds will consist of AI-generated content, reshaping how we consume media. These predictions highlight how AI is reshaping everything from work to entertainment. Which do you think will come true first? Let me know in the comments! Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #agi #legal #lawyer #2025 #newyear #happynewyear #future #prediction
Alright, here’s the real numbers on @Massive 🤝 Tinder for Jobs, and yeah, I got permission to share this because your feedback has been driving the changes. First, interview rates are up post-holidays—2.82% versus the market standard of 1-2%. That’s over 300 interviews secured through the platform this week alone. Users are averaging 2 interviews per month, but here’s the kicker: recruiters spend less than 10 seconds evaluating applications. That’s it. The truth is, too many job seekers shoot their shot at roles they aren’t aligned with. Reality check: if your resume doesn’t match the role requirements, you’re invisible. Period. Massive’s new match score engine is being rebuilt to fix that and help you align perfectly with job families so your applications land. You also told us autopilot needed to do more, so we’re adding controls to avoid interview conflicts and boosting timing so your applications hit when recruiters are paying attention. Oh, and that Workday integration? It’s here to take the headache out of filling out endless applications. Massive has always been focused on tech, where job moves are fast and frequent. Our baseline interview rates are steady at 1.6-1.7%, but with these updates, we’re positioning you for real success in 2025. None of this would be happening without your feedback. This isn’t just fluff—this is straight-up action from the insights you’ve shared. Keep the ideas coming, and we’ll keep evolving Massive to make you the strongest candidate possible. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #interview #jobhunt #2025 #interviewtips
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Alright, here’s the real numbers on @Massive 🤝 Tinder for Jobs, and yeah, I got permission to share this because your feedback has been driving the changes. First, interview rates are up post-holidays—2.82% versus the market standard of 1-2%. That’s over 300 interviews secured through the platform this week alone. Users are averaging 2 interviews per month, but here’s the kicker: recruiters spend less than 10 seconds evaluating applications. That’s it. The truth is, too many job seekers shoot their shot at roles they aren’t aligned with. Reality check: if your resume doesn’t match the role requirements, you’re invisible. Period. Massive’s new match score engine is being rebuilt to fix that and help you align perfectly with job families so your applications land. You also told us autopilot needed to do more, so we’re adding controls to avoid interview conflicts and boosting timing so your applications hit when recruiters are paying attention. Oh, and that Workday integration? It’s here to take the headache out of filling out endless applications. Massive has always been focused on tech, where job moves are fast and frequent. Our baseline interview rates are steady at 1.6-1.7%, but with these updates, we’re positioning you for real success in 2025. None of this would be happening without your feedback. This isn’t just fluff—this is straight-up action from the insights you’ve shared. Keep the ideas coming, and we’ll keep evolving Massive to make you the strongest candidate possible. #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #interview #jobhunt #2025 #interviewtips
Have you heard? OpenAI might be diving into humanoid robotics, marking a major shift in their AI journey. Here’s why this move matters and how it ties into their broader ambitions. First, this isn’t OpenAI’s first brush with robotics—they’ve invested in startups like Figure and Physical Intelligence and reactivated their robotics software team. But developing their own humanoid robot signals a much deeper commitment. Humanoid robots, with two arms and legs, are designed to function in human environments more naturally than traditional machines. Imagine robots that can assist in healthcare, logistics, or customer service with seamless adaptability. But this raises questions: OpenAI already powers robots for partners like Figure—could building its own hardware make it a competitor? This wouldn’t be the first time OpenAI clashed with its ecosystem; similar tensions arose when ChatGPT and Codex launched. Managing these relationships will be a balancing act. Then there’s the technical challenge. Training humanoid robots to adapt to unexpected scenarios is no small feat, but OpenAI’s experience with general AI models might give them an edge. Advances in multimodal systems could help these robots interpret their environment and make complex decisions in real time. On the global stage, OpenAI’s robotics venture reflects its ambitions to dominate both the digital and physical AI landscape. However, this also comes with geopolitical complexities as they lean on international manufacturing to bring these robots to life, while also emphasizing domestic AI infrastructure investments. What does this mean for us? OpenAI’s step into robotics underscores a broader shift toward merging AI with physical tools, signaling the future of human-AI collaboration. Could this redefine industries like healthcare or logistics? One thing’s for sure—OpenAI’s influence is expanding, and the world of tech is about to get even more interesting. What do you think about OpenAI’s humanoid robot plans? Is this the future of AI, or a risky leap? #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #chatgpt #memory #question #2025 #explain #internet
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Have you heard? OpenAI might be diving into humanoid robotics, marking a major shift in their AI journey. Here’s why this move matters and how it ties into their broader ambitions. First, this isn’t OpenAI’s first brush with robotics—they’ve invested in startups like Figure and Physical Intelligence and reactivated their robotics software team. But developing their own humanoid robot signals a much deeper commitment. Humanoid robots, with two arms and legs, are designed to function in human environments more naturally than traditional machines. Imagine robots that can assist in healthcare, logistics, or customer service with seamless adaptability. But this raises questions: OpenAI already powers robots for partners like Figure—could building its own hardware make it a competitor? This wouldn’t be the first time OpenAI clashed with its ecosystem; similar tensions arose when ChatGPT and Codex launched. Managing these relationships will be a balancing act. Then there’s the technical challenge. Training humanoid robots to adapt to unexpected scenarios is no small feat, but OpenAI’s experience with general AI models might give them an edge. Advances in multimodal systems could help these robots interpret their environment and make complex decisions in real time. On the global stage, OpenAI’s robotics venture reflects its ambitions to dominate both the digital and physical AI landscape. However, this also comes with geopolitical complexities as they lean on international manufacturing to bring these robots to life, while also emphasizing domestic AI infrastructure investments. What does this mean for us? OpenAI’s step into robotics underscores a broader shift toward merging AI with physical tools, signaling the future of human-AI collaboration. Could this redefine industries like healthcare or logistics? One thing’s for sure—OpenAI’s influence is expanding, and the world of tech is about to get even more interesting. What do you think about OpenAI’s humanoid robot plans? Is this the future of AI, or a risky leap? #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt #chatgpt #memory #question #2025 #explain #internet
When speeches are delay tactics… Let’s break down Dario Amodei’s speech at Davos about Anthropic and its plans for AI. Honestly, it left me thinking Anthropic is feeling the heat. Here’s what he shared: 1. Voice mode for Claude. While it’s an exciting feature, OpenAI and Gemini already have voice capabilities, so it’s more of a catch-up move. 2. A smarter model “in the coming months.” In the fast-moving AI world, “months” feels like a long time, especially when competitors are shipping new models almost weekly. 3. More memory for Claude. This could improve Claude’s performance for large-context tasks, but it’s unclear how much this will move the needle in a competitive market. Now, here’s my take: Claude is already strong at coding, which is why tools like Cursor rely on it. But reasoning—where the cutting edge is—still isn’t Claude’s strength, and Dario didn’t address this in his speech. Meanwhile, competitors like Deep Think and 03 Mini are dropping advanced coding models now, and developers will switch if they see better results. If that happens, Anthropic might gain breathing room, but it could leave them even further behind. Ultimately, this felt like a placeholder speech from a CEO without a big release to announce, while others—like Grok 3—are moving fast. What do you think—can Anthropic keep up, or is this a sign of trouble? Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt
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When speeches are delay tactics… Let’s break down Dario Amodei’s speech at Davos about Anthropic and its plans for AI. Honestly, it left me thinking Anthropic is feeling the heat. Here’s what he shared: 1. Voice mode for Claude. While it’s an exciting feature, OpenAI and Gemini already have voice capabilities, so it’s more of a catch-up move. 2. A smarter model “in the coming months.” In the fast-moving AI world, “months” feels like a long time, especially when competitors are shipping new models almost weekly. 3. More memory for Claude. This could improve Claude’s performance for large-context tasks, but it’s unclear how much this will move the needle in a competitive market. Now, here’s my take: Claude is already strong at coding, which is why tools like Cursor rely on it. But reasoning—where the cutting edge is—still isn’t Claude’s strength, and Dario didn’t address this in his speech. Meanwhile, competitors like Deep Think and 03 Mini are dropping advanced coding models now, and developers will switch if they see better results. If that happens, Anthropic might gain breathing room, but it could leave them even further behind. Ultimately, this felt like a placeholder speech from a CEO without a big release to announce, while others—like Grok 3—are moving fast. What do you think—can Anthropic keep up, or is this a sign of trouble? Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt

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