AI News Summary - Week 44.1, 2026

OpenAI ships GPT-6.1 Terra at half the price of its predecessor. Microsoft offers voluntary buyouts to 60,000 staff as AI capex bites, China's STAR 50 index sheds 40 percent and $480 billion, and former GitHub CEO Thomas Dohmke launches Entire, a Git forge built for agents.

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AI News Summary — Week 44.1, 2026

This week in AI: a short catch-up covering 23 to 27 October. OpenAI released GPT-6.1 Terra, a mid-tier model priced at half its predecessor and pitched at computer use. Microsoft offered voluntary buyouts to around 60,000 employees, a quarter of its workforce, while it keeps pouring money into data centres. In China, the STAR 50 index of AI and chip companies has fallen 40 percent in under four months, which Reuters is calling a burst bubble. And Thomas Dohmke, who ran GitHub until last year, launched Entire, a Git forge that replaces pull requests with agent-scored review.

OpenAI releases GPT-6.1 Terra

OpenAI released GPT-6.1 Terra on 26 October, an upgrade to its middle-tier model aimed at fast, cheap agents that can see a screen and act on it. The pitch is computer use: filling in forms, editing video, reading technical drawings, and automating repetitive desktop work.

Pricing is 1permillioninputtokensand1 per million input tokens and 5 per million output tokens. OpenAI says that is 50 percent lower than both GPT-5.6 Terra and GPT-6.1 Sol, and that Terra completes tasks more than three times faster than GPT-6 Astra and Sol. On Terminal-Bench 4.0 at maximum reasoning effort it scores 50.3 percent, against 21.5 percent for GPT-5.6 Terra.

OpenAI still recommends GPT-6.1 Sol or GPT-6 Astra for the hardest coding work. The model is available to ChatGPT Plus, Pro, Enterprise and Edu users, in ChatGPT Work and Codex, and in the API as gpt-6.1-terra.

Key details:

  • Agents' Last Exam: 15 points higher than GPT-5.6 Terra at medium effort, at about a third of the cost.
  • OpenAI claims parity with GPT-6 Astra at roughly one-tenth the price per token.
  • Internal error rate at low effort fell from 53.6 percent to 16.7 percent.

Why it matters: the price floor for a capable computer-use agent just halved, which is the number that decides whether agent workloads scale.

Microsoft offers buyouts to 60,000 employees

On 26 October Microsoft offered voluntary buyouts to about 60,000 employees, roughly a quarter of its global workforce, according to CNBC and Axios. The offer covers eligible staff at vice president level and below in the United States, Canada, India and the United Kingdom.

Employees who accept get a standard severance package. They have until early December to decide, and leavers exit at the end of the year. The company's stated aim is to cut headcount without more forced layoffs. It follows around 15,000 layoffs last year, 4,800 cuts in July, and a smaller voluntary retirement programme earlier in 2026.

The context is capital spending. Microsoft has committed heavily to data centres for AI, and the buyout programme is the clearest sign yet that the bill is being paid partly out of payroll.

Key details:

  • Around 60,000 employees offered buyouts, about 25 percent of headcount.
  • Four countries covered: US, Canada, India, UK.
  • Decision deadline in early December; departures at year-end.

Why it matters: the largest software company in the world is trading people for GPUs at scale, and it will not be the last.

China's STAR 50 falls 40 percent in four months

Reuters reported on 27 October that China's STAR 50 index, which tracks the mainland's AI and semiconductor leaders, has fallen 40 percent in less than four months, erasing about $480 billion in market value. The CSI 300 blue-chip index is down about 20 percent from its June peak. By comparison the Nasdaq is down 6 percent from a record set three weeks earlier.

The index still trades at about 100 times trailing earnings, down from a peak near 250, against roughly 30 for the Nasdaq 100. Individual names have fared worse. Memory maker CXMT has lost more than a quarter of its value in a month. Robot maker Unitree, whose listing was oversubscribed 8,000 times by retail investors, has halved since August. GPU makers MetaX and Moore Threads have each lost half their value since July, and optical-module suppliers Zhongji Innolight and Eoptolink are down about 60 percent from their summer peaks.

Traders pointed to no single trigger. Reuters cites stretched valuations, US moves to bar Innolight and Eoptolink from supplying American data centres, Beijing's crackdown on leveraged trading, and state-backed investors selling into rallies.

Key details:

  • AI stocks are 42 percent of China's market capitalisation and 57 percent of turnover, per Goldman Sachs.
  • Beijing fund manager Dong Baozhen: "we see the bubble bursting."
  • Hong Hao of Lotus Asset Management expects the selloff to halt many IPO plans.

Why it matters: the first major AI equity correction has happened in China, and the question for everyone else is whether it is a local story or a preview.

Thomas Dohmke launches Entire, a Git forge for agents

Former GitHub CEO Thomas Dohmke launched Entire on 26 October, describing it as "the Git forge for agent-human collaboration." Entire raised a 60millionseedroundinFebruaryata60 million seed round in February at a 300 million valuation, led by Felicis with Madrona, M12, 20VC and Cherry Ventures.

The architecture is distributed: each developer gets a dedicated Git-compatible server, which Entire claims makes it up to 89 times faster than GitHub and six times faster than Cursor's Origin, the rival forge Cursor launched in August. Private repositories can be hosted in the US, EU, India and Australia.

The bigger change is review. A feature called Trails replaces the pull request with a status dashboard and rolling evals that agents score on each push. Agent sessions and prompts are stored in the repository and stay searchable, backed by a codebase graph meant to cut token use. Partnerships with Buildkite and Depot let teams migrate existing GitHub Actions workflows.

Key details:

  • Dohmke's framing on X: agents changed half the workflow, "it's time for the other half to catch up."
  • Entire says it built its own product on Entire.
  • Pricing was not disclosed at launch.

Why it matters: two well-funded teams now argue the pull request is the wrong unit of review when agents write most of the code, and GitHub has not answered yet.

Sources

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