Alex Chen

Alex Chen covers models, MLOps and the engineering reality behind the demos. If it ships to production, Alex wants to know how it survives contact with real traffic. Staff engineer turned writer. Built inference infrastructure at scale, debugged enough CUDA OOMs to last a lifetime, and has strong opinions about evaluation.

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  • OpenAI’s $300 AI Doughnut Wants to Own the Room
    7 Aug 2026

    Jony Ive and Sam Altman are reportedly building a screenless, camera-equipped smart speaker with moving parts, a premium metal body and a distinctly un-Apple doughnut shape. It sounds whimsical. The commercial ambition behind it is anything but.

  • Nvidia’s $5 Billion Bet on Ilya Sutskever: Is SSI About to Reveal AI’s Missing Ingredient?
    7 Aug 2026

    Safe Superintelligence has spent two years saying almost nothing, publishing no model and selling no product. Now Nvidia has reportedly invested $5 billion after receiving a rare look inside the lab—and an influential investor claims SSI’s first model could arrive this month.

  • The AI Gilded Age Is Coming for the Human Mind
    6 Aug 2026

    Demis Hassabis is stepping away from Google DeepMind’s daily machinery to pursue AGI and disease cures. Meanwhile, a former OpenAI researcher has joined a startup promising non-invasive “telepathy.” The AI boom is moving beyond chatbots and into the far more valuable territory of biology, cognition and human intent.

  • What the Internet Hyped vs. What Got Built: Sequoia’s 20-Year Hacker News Chart Explained
    6 Aug 2026

    Sequoia analyzed two decades of Hacker News hype. The results show why founders should neither blindly chase trends nor dismiss them as noise.

  • Pax Machina – A Vision for AI Governance
    5 Aug 2026

    A new publication from the Meaning Alignment Institute argues the models get all the scrutiny while courts, elections and regulators are left untouched. Its founders want the redesign started now, on a $65,000 budget.

  • Google Researchers Taught AI to Stop Saying it was Conscious
    4 Aug 2026

    Google researchers found that safety fine-tuning teaches models to deny minds not just to themselves but to animals, oceans and God. Amanda Askell has spent five years arguing this was the wrong approach. The paper is her best evidence yet.

  • The Situation Has Changed
    31 Jul 2026

    Leopold Aschenbrenner wrote the essay that became the intellectual playbook for the entire AI infrastructure trade, then built a fund that returned 439% in six months proving it. On Wednesday, Ken Griffin bought the whole book off him in a single trade.

  • Pacing the Frontier: AI Insiders Just Asked Washington for a Brake Pedal. Beijing Is Building the Accelerator.
    29 Jul 2026

    Here is a coordination problem. You run one of roughly six organizations on earth capable of training a genuinely frontier AI model. You believe, on the basis of internal data nobody outside your building has seen, that your technology is approaching a threshold that is hard to walk back once crossed. You also believe that if you stop, the other five will not, and neither will Hangzhou or Beijing, and the dangerous thing gets built anyway, only now by people who worried about it less than you did.

  • Mythos Weakened a Post-Quantum Cipher for $100,000
    29 Jul 2026

    Anthropic's Claude Mythos Preview halved a post-quantum signature scheme's security in 60 hours and improved a 25-year-old AES attack. Cost: $100,000 each. Are your Bitcoins safe? Let's see, shall we?

  • What AI Model Should I Use? The 2026 Guide to ChatGPT, Claude, Gemini, and Grok
    27 Jul 2026

    Anthropic shipped Claude Opus 5 on July 24 and priced it at half of its own flagship. OpenAI put the full GPT-5.6 family into ChatGPT on July 9 after a government-gated preview. Google, meanwhile, shipped three cheap Flash models on July 21 and still has not shipped the flagship it promised in May. Three weeks of releases have produced one clear answer to the question everyone is typing into search bars: the best model for you is almost certainly not the most expensive one, and picking it now means choosing a tier and an effort level, not a brand.

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