1.
Developer given Mission:Impossible - fixing rubbish code that could crash a city - simply chose not to accept it
ON CALL Making it through a working week can feel like a dangerous adventure. That's why The Register offers a little certainty and safety by always using Friday morning to share a new edition of On Call – the reader-contributed column sharing your tales of tech support. This week, meet a reader we'll Regomize as "Socrates," who many years ago was the "fresh-faced manager of a small software department." Socrates' employer had sold some monitoring hardware to a client that made equipment for power stations, but whoever installed the system had neglected to document it properly.
2.
[AINews] Poolside gets $12B reverse-execuhire to NVIDIA; founders stay for $1B, employees go for $6B, Infraco scaling to 7GW neocloud
Less than a month ago we had just featured Poolside’s Model Factory with Eiso Kant on the pod (following our Paper Club coverage): It appears that Jensen really, really liked Poolside too, as he went from investor to doing licensing their factory and hiring 109 of their employees: Unless things changed drastically, this accounts for the overwhelming majority of the technical Poolside employees: Eiso Kant [01:52:31]: We are hiring on every possible role in applied research and engineering in the company, from training all the way to evals to post-training architecture.
3.
Google tethers Antigravity to enterprise controls amid AI shakeup
Google Antigravity, which came out of the DeepMind AI research group, has drifted into the orbit of Gemini Enterprise app subscriptions, putting the Chocolate Factory's agentic development platform under the influence of Google Cloud controls. Antigravity is an agentic AI coding assistant that can be accessed through various surfaces, including a desktop app (Antigravity 2.0), a command line interface (Antigravity CLI), a software development kit (Antigravity SDK), and a full-fledged integrated development environment (Antigravity IDE).
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Russian snoops add OAuth abuse to targeted phishing campaigns
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Supermicro fired staff after probe into $2.5 billion GPUs-to-China smuggling operation
6.
Framework's Laptop 12 preorders see Fedora outselling Windows by over 10 to 1, and it makes a lot of sense
As a Linux fan, I always enjoy celebrating when it scores a win over the big companies. However, not in my wildest dreams did I ever imagine a Linux laptop would outsell its Windows version by over ten to one. Fortunately, I don't have to dream, as Framework has confirmed that the Fedora preorders for its new Laptop 12 are currently skyrocketing versus the Windows version, but it makes a lot of sense if you think about it.
7.
Local LLMs in 2026: The Simple Practical Guide
There is one AI setup I think is worth learning now. Run a good AI model on your own machine. Then connect your files, code, memory and tools to it. This has become much more useful because AI itself has changed. A normal chat may use one model call. An AI agent can make 10, 30 or 100 calls while it reads files, writes code, checks its work, searches again and retries. When those calls go through an API, every loop uses more tokens and more money. When the model is running on your own GPU, there is no new API bill every time it thinks again. Your private files can also stay on your machine.
8.
What is (was?) GIL in Python?
RAG vs. CAG, explained visually! What is (was?) GIL in Python? What is Contrastive Learning? RAG is great, but it has a major problem: Every query hits the vector DB, even for static information that hasn’t changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) fixes this by letting the model keep static information in its key-value (KV) memory, which is what the model builds internally for every token it reads.
9.
Chill week with Qwen 27B and GLM 5.3 beating GPTs, OpenAI announces pausing RL to focus on security and a cancer vaccine being produced
Hey this is Alex, welcome to... the chillest week in AI, since ... a long time. Chill, if you consider Moderna and MERK announcing a cancer vaccine and surging 115% in a day, a chill week. This week, the only two model drops we really saw came from the excellent Z.ai folks, they announced GLM 5.3, API only for now, and an amazing tiny release of Qwen 3.89 27B.
10.
AI’s Bar Mitzvah Moment? From Hope & Hype to Hard Business Questions!
In a world where AI enters almost every conversation, it takes effort to remember that its breakout moment was less than four years ago, when, on November 30, 2022, ChatGPT was unveiled to the public. I know! I know! Artificial intelligence has been around a lot longer, with a history tracing back to the birth of the computer age. I am old enough to remember IBM’s Deep Blue, a machine powerful enough to evaluate two hundred million chess positions per second, and beat the greatest chess players of its time.