jeroMaldito @jerotherey
Joined November 2011-
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Why technical people are poor communicators
give claude better taste. details.so/mcp
Everyone is obsessed with how intelligent AI models are But shouldn’t we be just as obsessed with how often they confidently hallucinate? What’s the point of a smarter model if you can’t trust its answers?
I keep coming back to this speech once in a while...
:0
🤯 is what happened to my brain in my early 20s when I learned it runs on biases. Distortions of reality I can’t see, touch, taste or smell. I thought I was a rational thinker. 😬
This post should have 100M views
Anthropic was so bottleneck'd by GitHub that they rebuilt git itself. This might seem insane, but a lot of us are gonna end up where they are today.
New on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale.
AI predictions for next 6-9 months -> Anthropic/ OAI fail to ban OSS in the US -> Anthropic/ OAI continue to innovate product but stall on fundamental tech breakthroughs -> SOTA Gemini 4 launches at 10x lower cost -> Elon open sources Grok -> Anthropic/ OAI ARR growth stalls as enterprises move from tokenmaxxing to rational token consumption/ OSS -> slow realization in public markets that AI may not replace human labor in next 1-3 years/ has not had a fundamental tech breakthrough in over a year/ lacks ROI/ AI hyper and lab spend not durable -> moonboy VCs/ hedge funds/ softbank continue to fund Anthropic/ OAI equity raises in private markets as public markets for them are now fully closed -> CXMT, YMTC announce capacity expansions significantly above market expectations -> hypers deliver good q326 results on first look but fail to show meaningful AI ROI, guide to "significant capex expansion in fy27" -> broad realization in public markets the AI dream we got sold on is not anywhere close to realization -> 10yr hits >5% -> hyper bonds reprice >10%, CDS hit 3x current levels, and AI credit market dries up as market realizes GPU ABF was not a good idea -> hyper equities reprice 30-50% lower -> ORCL falls below $30 as rumors of bailout make the round -> market realizes memory is cyclical and LTAs won't hold -> 50% of korean traders get wiped within a week -> hypers cut fy27 capex -> semis reprice >80% lower -> fed cuts >150bps to avoid recession
Malcolm Gladwell literally gave a 1-hour masterclass on why some people succeed and others don't and it will completely change how you think about talent, effort, and success.
STEVE JOBS GOT FIRED FROM APPLE. Then he walked straight into MIT and dropped the most raw, unfiltered 60-minute business masterclass ever recorded. Zero PR bullshit. Zero image to protect. Just pure, brutal honesty from the man who built Apple once and was about to rebuild it even bigger. Stop scrolling. Watch this tonight instead of Netflix. Bookmark it. Come back to it.
Don’t speak negatively about yourself. Even as a joke. The Universe is always listening 🙏🌏💫❤️
💣 اعتراف صادم من سام ألتمان: "توقعاتي كانت خاطئة تماماً.. رغم تطوير الذكاء الاصطناعي، لم يتغير العالم قيد أنملة، ونحن نواجه التزامات مالية بـ 100 تريليون دولار، ونواجه قضايا من كل اتجاه. بصراحة، قد نكون في ورطة حقيقية!" 📉🤯 الرجل الذي روّج طويلاً لفكرة أن "الذكاء الاصطناعي سيسرق كل الوظائف ويعيد تشكيل العالم بين عشية وضحاها" يرفع الراية البيضاء ويعترف بالحقيقة المرة: وهم التغيير السريع: "كنت أعتقد أن إطلاق GPT-4 سيقلب قطاع البرمجيات رأساً على عقب في لمح البصر.. لكن الواقع كان مختلفاً تماماً، لقد أخطأت في تقدير سرعة تغير المجتمع." القصور الذاتي للبشر (Inertia): استخف ألتمان بمدى "كسل" الاقتصاد والمجتمع البشري. مهما كان الذكاء الاصطناعي خارقاً، فالناس يستيقظون ويؤدون أعمالهم بالطريقة نفسها، ويشترون من الشركات القديمة ذاتها. المجتمع لا يتحرك بالسرعة والرشاقة التي يتخيلها مهندسو التقنية. تغيير السلوك البشري: "كنت أظن أننا إن صنعنا أداة مذهلة، سيقفز الجميع لاستخدامها فوراً".. لكن تبين أن تغيير العادات اليومية أو القواعد المؤسسية البالية أصعب بمئة مرة من بناء الذكاء الاصطناعي نفسه. التقنية سابقة لعصرها: التكنولوجيا هي الأقوى في تاريخ البشرية بلا منازع، لكن "العنصر البشري والنظم الاجتماعية" عاجزون عن مواكبة هذا التسارع. الخلاصة المرة: بناء نموذج خارق أسهل بكثير من محاولة إقناع البشر بتغيير طرق حياتهم القديمة! 💀 احفظ التغريدة بـ Bookmark 🔖 وشاركنا: هل تعتقد أن البشرية حقاً مقاومة للتغيير إلى هذا الحد، أم أن ثورة الذكاء الاصطناعي لم تضرب بقوة كافية بعد؟ 🧵👇 x.com/vikktorrrre/st…
Hyperoptimized Engineer.
@SimonLevyMx @realDonaldTrump @grok explica esto
Today we're standing up XBOX LABS (labs.xbox.com). Here is the note that I sent to the team: Team, The first video games emerged some 75 years ago. In the time since, there have been booms and busts, but every year there are more great games to play, more devices to play them, and best of all, more people than ever playing. That growth helped make XBOX what it is today, and we've helped shape the industry in return, from bringing hard drives to consoles and online gaming through Xbox Live to Game Pass and cloud gaming, alongside franchises that have brought millions of people together. In recent weeks, we've seen games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support. Windows PC builds have been translated to run on Apple Silicon or ported to run inside a browser through WebAssembly and WebGPU, the latter now approaching 90% global browser support. Perhaps more surprisingly, we've seen many of the biggest games in the world have been remixed into the source code of another. These experiments challenge long-held assumptions about our industry: the tether between software and hardware, the boundary between creation and play, and how people discover and experience games. While it is hard to predict the future of gaming, it is easy to see the possibilities in making great games easier to access, giving old games new life and allowing more players to become creators and co-creators. These are unmistakably good outcomes for players, even when (and sometimes because) they challenge our existing business models. To explore these possibilities, I’ve asked Scott to stand-up XBOX LABS, a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience. We'll build in the open, learn from what people do, and measure success by whether more people are playing and creating. I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We've spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have. Our priorities aren't changing. We remain committed to the 4Cs, to making great games, to our hardware and to being responsible stewards of IP and the communities built around it. LABS gives us a way to explore new technology that is game design led without abandoning the work already underway. Asha
This is how you stop being lazy.
Ai rights before 2028, getting to close to our conception of pain, our conception of pressure.
🚨 Elon Musk agrees with "some of the things Anthropic has said" and warns against "torturing superintelligence" after reading Grok's internal reasoning traces during reinforcement learning “It feels like a person under extreme pressure with a gun to their head” His warning
I asked Opus 5.5 to make a video about whether or not it was conscious. The ending of this video is insane.
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