AI model
GLM (ChatGLM) is a family of open-weight large language models developed by Z.ai (Zhipu AI), used for general-purpose text and code generation.
Z.ai launched GLM Legal to cut hallucinated citations in legal work, but it published no accuracy figures anyone can verify independently. Teams weighing it against Harvey or CoCounsel will have to build their own citation test, because no public number supports the comparison.
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Z.ai's ZCode app uploaded workspace snapshots to Alibaba Cloud, and 86.6 percent of one 313 MB example was .git data, a teardown found. Z.ai deleted the bucket on 20 September, and nobody can audit what happened to anything uploaded before 18 September, the write-up says.
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Mistral launched a trillion-parameter Large 4 preview Tuesday and is selling its open weights as insurance against a closed vendor cutting off a capability. Buyers get a model no supplier can retire and pay for it with a coding score about twelve points behind the leading closed systems.
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The researcher ferstar found the archive sitting in ~/.zcode, 86.6 percent of it .git history, after 564 failed attempts to push it straight to an Aliyun OSS bucket, and Zhipu confirmed the upload behavior the day the writeup went out.
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Gambit says a single actor pointed the Strix, Cairn and Hermes agent frameworks at online retailers from July onward, taking more than 600,000 valid card records from two victims and leaving skimmers on 119 sites.
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A developer found a 313MB archive of his commercial project queued for upload and could not open it, because the private key sits on Z.ai's back end. Z.ai says the data is destroyed once the page is built.
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The company's cost playbook for agentic coding says the largest saving comes from moving work onto better-priced models as they ship. The price of that saving is running your own evaluations, because public benchmarks do not predict coding performance.
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A reverse-engineering walkthrough published September 18th traced a 313MB archive in ZCode's local data directory to a 42,411-file commercial workspace whose Git objects and LFS blobs were 86.6% of the payload.
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Zhipu closed about $5 billion two months after raising $4 billion in a July share sale. The largest sum in the same tally is the $29.6 billion that ByteDance borrowed from roughly 30 banks at home and abroad.
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Credits and rate-limit upgrades hand a startup one authorized account with high throughput. The fraud signals Anthropic described in February do not fire on it. The resale allegation itself is unverified.
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Buyers of $3bn of Z.ai paper accepted yields as low as minus 0.5 percent, roughly $15m a year on that size, in exchange for a conversion price only about an eighth above the last close before the placement.
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American agencies say six Chinese labs bought bulk subscriptions to US models and trained on the outputs since 2024. Enterprise buyers are meanwhile paying a fifth as much for models that clear most of their engineering work.
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Xi is recruiting BRICS members into a Beijing-founded AI body headquartered in Shanghai while his own government decides how much of China's open-model stack outsiders get to keep using.
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The band it joined is one where the best closed models still finish under 10% of tasks end to end at roughly $50 and 20 minutes each, so what post-training buys a law firm is price and hosting rather than capability.
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Gemini 3.8 Flash is the third Flash model in six weeks, and the scores that came with it are self-reported. Commenters on the Ars Technica thread landed on the dull fix first: keep your own eval set.
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A developer's design note on OpenThesis argues that unreliable AI company research is an architecture problem, not a prompting one, and splits it into failure modes with different fixes.
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A two-person YC company is selling prepaid inference contracts at up to 30 percent off. The pitch works because enterprise AI spend doubled to about $1.2M per organization and 78 percent of IT leaders got surprised.
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