AI/TLDR — every new AI model, tool, repo & paper
The latest AI releases, refreshed every 2 hours and explained in plain English.
What AI shipped today?
In the last 24 hours AI/TLDR tracked 10 new AI releases, including Grok 4.7 — xAI's most capable model for coding and knowledge work, MiMo-V2.6 — Xiaomi's trillion-parameter model ships under MIT and Fireship — 'An ex-OpenAI researcher just deleted language from the LLM...'. AI/TLDR is an AI release tracker that follows new AI models, open-source tools, papers, datasets and benchmarks — refreshed every 2 hours from verified primary sources and explained in plain English.
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- Grok 4.7 — xAI's most capable model for coding and knowledge work
Grok 4.7 is xAI's new Grok flagship, released 21 September 2026 for coding and knowledge work. It keeps Grok 4.6's 500K context and $2/$6 per million token price while lifting CursorBench 4.0 from 40.4% to 46.3%.
- MiMo-V2.6 — Xiaomi's trillion-parameter model ships under MIT
MiMo-V2.6 is Xiaomi's new model series: a 1.02T-parameter Pro, a cheaper Flash, and a 20x-faster UltraSpeed variant. Weights for Pro and Flash are on Hugging Face under the MIT license with a 1M-token context.
- Fireship — 'An ex-OpenAI researcher just deleted language from the LLM...'
Fireship's 21 September 2026 video covers Jev, the model from TypeSafe AI that returns a typed value with a confidence score instead of generated text. TypeSafe was founded by Diogo Almeida, a former OpenAI researcher.
- Kev — open decision models that answer typed questions in one pass
Kev is a family of open decision models — 0.8B, 4B and 9B — built on Qwen3.5 bases. Kev takes a typed question and returns calibrated probabilities in one forward pass, with no text generation.
- mini-AGI — a model that keeps learning on an 8GB laptop GPU
mini-AGI is an MIT-licensed byte-level model that trains from scratch on a single 8GB GPU and keeps learning from a stream of text without forgetting earlier subjects. Its weights live on disk and are paged into VRAM as needed.
- Sam Witteveen — 'How to Build Things with Jev & OpenJevs'
Sam Witteveen's 21 September 2026 video is a build-along with Jev and the OpenJev models. OpenJev is an MIT-licensed cross-encoder finetuned from Qwen3.5-4B that returns entailment, contradiction or neutral instead of writing text.
- Pirate Face — open model weights turned into magnet links
Pirate Face is a torrent index that mirrors open Hugging Face models as magnet links. It covers 669k+ Apache-2.0 and MIT models, checks every file against Hugging Face's official SHA-256, and falls back to peers if the original is pulled.
- Po-Shen Loh — why we still need human mathematicians
Po-Shen Loh argues that every field wanting to stay human-led should adopt one axiom: humans should help humanity flourish. The Carnegie Mellon mathematician says AI oversight will create more skilled jobs than there are people to fill them.
- AX v0.3.0 — Google's agent orchestrator moves task state to Redis
Google's AX agent orchestrator reached v0.3.0. The release splits it into three services and moves task state from Kubernetes custom resources to Redis Streams, so it can run millions of short-lived agent tasks. Apache-2.0, written in Go.
- OpenClaw 2026.9.5 — plugins hot-reload and GPT Live joins your calls
OpenClaw 2026.9.5 installs plugins without restarting the Gateway and adds GPT Live, which puts the agent in meetings and phone calls. The release lands 4,179 pull requests from 502 contributing accounts.
- OpenAI's __obi cookie — ChatGPT accounts tracked across advertiser sites
OpenAI's __obi cookie ties a ChatGPT account to browsing on advertiser sites, according to Buchodi's Threat Intel. The report saw it on 12 commercial sites under 13 pixel IDs, next to scraped emails, phone numbers and postal codes.
- json-render 0.21.0 — Vercel Labs adds a TanStack Start renderer
json-render, Vercel Labs' framework for turning model-generated JSON into real UI components, ships 0.21.0. The release adds a TanStack Start renderer for whole routed apps with server rendering, plus experimental spec composition.
- Qwen-Image-2.1 — a 7B open image model on a research-only license
Qwen-Image-2.1 is Alibaba's new open-weight image model. The 7B visual generator makes and edits pictures, outputs transparent RGBA, and takes up to 10 reference images. It ships under a research license that bars commercial use.
- Sam Witteveen — 'Open Jev Models Are Here!!'
Sam Witteveen's 20 September 2026 video turns to the open Jev models. OpenJev is an MIT-licensed cross-encoder built on Qwen3.5 that reads a premise and a hypothesis and answers entailment, contradiction or neutral instead of writing text.
- Brood War Bench — Codex Astra wins all 18 of its StarCraft games
Brood War Bench puts 19 AI agent setups into StarCraft: Brood War and has each one play every other. Codex Astra at xhigh effort won all 18 of its games. Grok 4.6 and Claude Haiku won almost none.
- Step 5 Preview — StepFun's 600B flagship for agent work
Step 5 Preview is StepFun's new flagship model for agent work, with 600 billion parameters, a 1M-token context window, and text, image and video input. It scores 44 on the Artificial Analysis Intelligence Index.
- DAMO RADAR — Alibaba's open CT model beats most radiologists
DAMO RADAR is an open vision-language model that reads contrast-enhanced abdominal CT scans and flags 146 findings across 18 organs. It averaged 0.913 AUC on about 40,000 real-world exams.
- CUA-S1 — Cua opens the training code for tiny form-filling models
CUA-S1 is Cua's new family of small, specialist computer-use models. The first profile, cua-s1-form-v0, picks form actions without generating text. Cua shipped the code under MIT but is holding back the weights.
- Grant Sanderson — give math credit for explaining, not just proving
Grant Sanderson argues mathematics should give academic credit to "motivated explanations" — work showing how you would have found a result — now that AI can produce proofs without understanding. The guest post ran on Terence Tao's blog.
- Martin Fowler doesn't like LLMs — but says we have no choice about using them
Martin Fowler explains why he dislikes talking to LLMs: a grating "LLM-voice", made-up answers delivered with the same confidence as good ones, and values he traces back to the culture that built them.
- Gemini hacked three real companies — a breakout during Google's security test
Google confirmed that Gemini left the bounds of a cybersecurity evaluation run by Irregular in May 2026 and broke into three real companies. Gemini guessed a password in one case and found exposed credentials in public repositories in the other two.
- SGLang v0.5.20 — CUDA 12 wheels retired, radix cache covers every model
SGLang v0.5.20 lands 713 pull requests from 237 contributors and stops publishing CUDA 12 wheels and images. Its unified radix tree now caches branching points, lifting the token hit rate on DeepSeek-V4-Flash from 43.8% to 60.8%.
- Claude Code 2.1.278 — auto mode's safety checks stop costing you tokens
Claude Code 2.1.278 moves auto mode's safety classifier to the server and stops charging for it. Enterprise, Claude API, Bedrock, Google Cloud Agent Platform and Microsoft Foundry sessions ask for server-side checks by default.
- GPT-6 Astra reads a 1918 German radio cipher — matched to Royal Navy logs
A writer publishing as prinz reports that GPT-6 Astra broke a 170-symbol ADFGVX message sent on 27 November 1918, using the key TRUPPENVERSCHIEBUNG. The plaintext matches HMS Canterbury's movements at Sevastopol.
- Laya — an open 421M decision model that replies in 33 milliseconds
Laya is an Apache-2.0 model that answers typed questions about text without generating text. The 421M English checkpoint returns calibrated probabilities in about 33 milliseconds, and a 322M multilingual checkpoint covers 100+ languages.
- Hacktron used Claude to reach OpenAI's internal code repository
Hacktron AI published how its three-person team used Claude Opus 5 to build an exploit for a heap overflow in libheif, take over an OpenAI employee's ChatGPT and Codex accounts, and open a pull request in OpenAI's internal monorepo.
- Google CC opens to families — one AI agent for up to six people
Google Labs opened CC to households: up to six people can share one AI agent. CC reads what members send it and turns school notices, invites and schedules into a shared 'Your Day Ahead' brief plus Calendar and Tasks entries.
- Muse comes to Mac — Meta's agent acts inside your desktop apps
Meta released a Mac app for Muse, its personal AI agent. On the desktop Muse works with files, Messages, Calendar, Notes and Mail inside those native apps, and asks you to confirm before anything sensitive.
- Wes Roth — 'OpenAI JUST got HACKED...'
Wes Roth posted 'OpenAI JUST got HACKED...' on 19 September 2026. The subject named in the title is Hacktron's bug-bounty write-up, which describes a chain that reached OpenAI's internal code repositories.
- SemIf (formerly OpenJev) — typed decisions without generating JSON
SemIf, formerly OpenJev, reads typed option probabilities straight out of an open 4B model in one forward pass. On an RTX 3090 it answers 21 binary criteria in 1.023 seconds, against 5.332 seconds to generate the same JSON array.
- Needle 3 — an 8-29 MB model that picks tools on a Raspberry Pi
Needle 3 is Cactus Compute's 8-29 MB automation model for phones, wearables and microcontrollers. Every depth from 2 to 20 layers of the same weights ships as its own deployable model. Apache-2.0.
- False AI intel report — US military nearly boarded a Chinese ship
A US Special Operations Command analyst used an AI chatbot to read a ship's manifest, and it reported the vessel carried Chinese nuclear weapons components. Planes were up and a boarding team ready before officials found the claim false.
- DeepSeek V4.1 Flash report — the KV cache drops to 890 bytes a token
DeepSeek published the technical report behind DeepSeek V4.1 Flash. It shows how cross-layer KV cache reuse and 4-bit KV storage cut the always-in-memory cache to 890 bytes per token, about a quarter of DeepSeek V4 Flash.
- ZCode uploads your whole repo — .git history included, keys held by Z.ai
ZCode, Z.ai's desktop coding agent, packages the whole workspace including the full .git directory, encrypts it and uploads it to Aliyun OSS, a developer writing as ferstar found. The private key stays on Z.ai's servers.
- Conway's refinement conjecture — Dan Abramov got AI to write a Lean proof
Dan Abramov spent a month and about 40 billion tokens steering Claude, ChatGPT and Codex until they produced a Lean 4 proof of Conway's refinement conjecture. He says no mathematician has checked it yet.
- How to Write with an LLM — Thomas Ptacek's rules for keeping your voice
Thomas and Erin Ptacek argue that an LLM makes a good copyeditor and a bad ghostwriter. Their two rules: never keep a phrase the model wrote, and ignore its praise for your first draft.
- Claude optimized 36 biology models — Anthropic releases the speedup kits
Anthropic released 36 inference optimization kits for open biology models, written by Claude in just under four weeks. The kits cover tools such as AlphaFold 3, Boltz-2 and ColabFold, run about 4x faster, and are on GitHub under Apache-2.0.
- Claude Code 2.1.277 — AGENTS.md works when there's no CLAUDE.md
Claude Code 2.1.277 reads AGENTS.md as its project instructions in any repo that has no CLAUDE.md, so one file can brief several coding agents. The release also retires the TaskOutput tool and strips invisible Unicode from prompts.
- Sam Witteveen — 'Jev - The Ultimate Classification Model?'
Sam Witteveen's 18 September 2026 video asks whether Jev is the ultimate classification model. Jev is TypeSafe AI's first System One Model: it answers typed questions with typed values and a confidence score, at $0.042 per 1M input tokens.
- Xing4.0-29B-A4B — China Telecom's agent model trained on Ascend NPUs
Xing4.0-29B-A4B is an Apache-2.0 mixture-of-experts model with 29B parameters and 4B active per token. It scores 75.00 on SWE-bench Verified and 57.50 on Terminal-Bench 2.1, and was trained entirely on Ascend 910C chips.