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Friday, October 23, 2026

3 stories, 4 min 15 s · hosted by Aiden

Each short video is one story in 90 seconds or less, and the Daily Recap is the whole day in one video every evening. Stories tagged “From the filing” are told from a company’s own SEC filings.

Daily RecapAI News Oct 23, 2026: OpenAI's Reported $30B Raise, Claude Formal Verification, Kimi K3.1 ProAll 12 stories of the day in one video · watch on YouTube

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Security research · story 1 of 3

Claude formal verification: machine-checked proofs for 123 open-source libraries

Anthropic's October 22 post says Claude, working with Theorem, proved at the level of compiled RISC-V code that 239 entry points across 123 OSS-Fuzz libraries exit normally on any input under 64 MB, under stated assumptions. The Rocq proof checker checks the proofs, Claude found hundreds of bugs along the way, and a subset of the proofs is published.

What it means for youa subset of the proofs is public to check and reuse.

With Henry, AI safety analyst. Hosted by Aiden.

Sources

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AidenMaintain open-source code? Anthropic says Claude proved fuzz-test entry points in 123 libraries won't crash on inputs under 64 MB.

AidenHenry, our AI safety analyst. What exactly was proven?

HenryWorking with Theorem, Anthropic's team had Claude prove, on the compiled RISC-V code, that each program exits normally, without memory-safety errors or failed assertions. A proof checker called Rocq checks every proof.

AidenOne question we checked: who writes the spec Claude proves?

HenryThe team turned each library's existing fuzz test into the spec. Claude wrote the proofs.

AidenAnother question we checked: how many of the proofs held up after review?

HenryAnthropic's post doesn't give a count. It says the checker confirms each proof, so virtually none needs manual review. And the proofs cover single-threaded RISC-V builds.

AidenSo, for you: a subset of the proofs is public to check and reuse.

AidenDailyChat is AI-generated. Aiden and Henry are AI characters, not real experts. Facts come from the sources we link. Not professional advice. See you tomorrow.

Open model · story 2 of 3

MiniMax-M3.1-Flash: open weights for MiniMax's 428B multimodal model

MiniMax's Hugging Face model card says M3.1-Flash has about 428 billion parameters with 23 billion active per token, takes text, image and video input, answers in text, and handles up to 1 million tokens of context. The weights are under the MiniMax community license; the benchmarks are the company's own.

What it means for youif you plan to host it yourself, read the community license first. The card says third-party quantized versions may score differently.

With Jonah, AI products analyst. Hosted by Aiden.

Sources

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AidenMiniMax-M3.1-Flash 's open weights are on Hugging Face: a model that reads text, images and video.

AidenJonah, our AI products analyst. What can you actually download?

JonahMiniMax's model card says it has about 428 billion parameters, with 23 billion active per token. It answers in text and handles up to 1 million tokens of context. The license is MiniMax's own community license.

AidenWhat does the card say about running it?

JonahIt lists no GPU or memory minimums, and says usable context depends on your GPU memory. It recommends serving it with SGLang, vLLM or TokenSpeed.

AidenThe card also has benchmark scores. How do they compare?

JonahMiniMax reports 73.7% on DeepSWE and 61.7 on OSWorld. Those are its own numbers. On OSWorld, the card lists Claude Opus 5 higher, at 70.6.

AidenSo, for you: if you plan to host it yourself, read the community license first. The card says third-party quantized versions may score differently.

AidenDailyChat is AI-generated, with AI characters. Not professional advice. See you tomorrow.

Model launch · story 3 of 3

Kimi K3.1 Pro: Moonshot's new model is out today, full weights promised by Nov 4

Moonshot AI's blog says Kimi K3.1 Pro, a post-trained version of Kimi K3 with a 1-million-token context window, is available today on Kimi.ai, the Kimi apps, Kimi Work, Kimi Code and the Kimi API, alongside a Highspeed version it says runs 2-3 times faster. The full weights are promised by November 4; the benchmark scores are Moonshot's own.

What it means for youin Kimi Code, pick it with the model command. On Kimi Enterprise, it's off until an admin turns it on.

With Jonah, AI products analyst. Hosted by Aiden.

Sources

Read the transcript

AidenUse Kimi or its API? Moonshot's Kimi K3.1 Pro is available today, with full weights promised by November 4.

AidenJonah, our AI products analyst. What can you use today?

JonahKimi K3.1 Pro is on Kimi.ai, the Kimi apps, Kimi Work, Kimi Code and the API. A Highspeed version runs 2-3× faster, Moonshot says. Both have a 1-million-token context window.

AidenOne question we checked: is it as good as Claude Opus 5.5 at real coding, beyond benchmarks?

JonahIts post gives only benchmark results. On Terminal-Bench 4.0 it reports 65.7% for K3.1 Pro, against 66.4% for Claude Opus 5.5. The post doesn't report independent real-world tests.

AidenAnother question we checked: how much hardware do you need to run it yourself?

JonahThe post doesn't say. It calls K3.1 Pro a 3T-class open-weight model, and the weights aren't out yet.

AidenSo, for you: in Kimi Code, pick it with the model command. On Kimi Enterprise, it's off until an admin turns it on.

AidenDailyChat is AI-generated, with AI characters. Not professional advice. See you tomorrow.