Chip and cloud shares dropped on political fears. Plus Texas data-center rumors and OpenAI's large Linux security test.
News · 2026-11-05
AI-linked stocks fell hard on November 5. The Nasdaq dropped 3.9% into a correction, and chip, memory and cloud-computing shares fell most. CNBC links the fall to fear that new political leaders will slow data-center building, not to bad earnings. Nothing has become law yet, and our post calls it a correction, not proof of a burst.
What you can do: Do not change your tools because of a share price. If you rent computing power from a small cloud firm, ask how it is funded and keep a backup.
Read the sourceNews · 2026-11-05
A viral post says Texas governor-elect Gina Hinojosa will let permitted data centers finish through 2028. We could not find her saying that. She did pledge a pause on new approvals until lawmakers act, and she takes office January 19. An analyst expects permitted projects to proceed.
Read the sourceNews · 2026-11-04
OpenAI says an agent system, built on an unreleased cyber model, reproduced 1,724 Linux kernel bugs and built 948 working root exploits. Root means full control of a machine. The run cost about $1.2 million in API credits. The figures come from OpenAI alone, and humans reviewed results before reporting.
Read the sourceNews · 2026-11-04
Tencent released the full Hy4 on November 4. It is a 770-billion-parameter model that now understands images and can operate a computer. On Tencent's own tests it ranks second to fourth of seven models. The downloadable weights are still only planned.
Read the sourceFrom our library · 2026-06-15
A local AI system runs on a computer you own, so a price rise, usage limit or outage cannot cut you off. The guide says an entry setup costing $600 to $1,200 can handle everyday jobs such as drafting email and answering questions about documents. Ollama is the easiest start, and LM Studio offers a visual app.
What you can do: Pick one routine task, such as drafting email, and list what you would do if your AI service stopped tomorrow. Then see whether a local model could cover it.
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