Blog Network — 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 Blog Network tracked 17 new AI releases, including OpenAI Agents API — the Codex harness opens up to developers, GPT-Live-1 in the API — full-duplex voice for $0.05 a minute and WeWorm — AI found a WeChat bug that spreads with one call. Blog Network 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.
The latest AI releases, newest first.
- DeepSeek V4.1 Flash — a 552B open-weight rebuild with 1M context
DeepSeek V4.1 Flash is now generally available under the API name deepseek-flash, with MIT open weights on Hugging Face. It scores 90.6 on Terminal-Bench 2.1 and 74.2 on DeepSWE v1.1, ahead of Opus 5.0 and GPT-5.6 Sol.
- Sam Witteveen — 'MiniCPM5-2B: The Best Sub-Agent Model Yet?'
Sam Witteveen tests MiniCPM5-2B, OpenBMB's small open model, in an episode posted on 10 September 2026. The walkthrough covers the benchmarks, the training recipe including JustRL II, the model variants and a live demo.
- SWE-2 — Cognition's coding model lands within a point of Fable 5.1
SWE-2 is Cognition's new coding model, post-trained from Moonshot's 2.8-trillion-parameter Kimi K3. It scores 50.0% on FrontierCode 1.1 Main against 50.9% for Fable 5.1, and Cognition says it costs 64% less to run at that score.
- GPT-Live-1 in the API — full-duplex voice for $0.05 a minute
GPT-Live-1 is now in the OpenAI API. The full-duplex voice model listens and speaks at once, handles interruptions, and hands deeper reasoning to the models and tools you pair it with. Voice sessions cost $0.05 per minute.
- Anthropic threat report — attackers now let Claude run whole intrusions
Anthropic's September 2026 threat intelligence report covers eight months of disrupted misuse of Claude across seven harm categories, including a Russian espionage group that automated intrusions against more than 20 organisations.
- North Small Translate — Cohere's open translation model beats DeepL on WMT26
North Small Translate is a 218B-parameter open-weights translation model from Cohere Labs with 25B active parameters. It scores 83.60 on WMT26 across all languages, ahead of DeepL NextGen at 81.37.
- OpenAI Agents API — the Codex harness opens up to developers
OpenAI's Agents API is in public beta. It gives any app the managed Codex harness, so OpenAI handles session state, context compaction and recovery while your code supplies the tools and picks where the agent runs.
- Two Minute Papers — 'I Never Thought I'd See This Happen'
Two Minute Papers covers OpenAI's Navier-Stokes blowup proof in an episode posted on 10 September 2026. The description sets the AI-produced result next to the host's own fluid-simulation thesis and papers.
- Econ Scenario Explorer — Anthropic models three AI futures for 2030
Anthropic's Econ Scenario Explorer is an interactive model of the US economy in 2030 under three AI paths. Its extreme case puts GDP 32.4% higher at $44.4T while knowledge-worker pay falls more than 10%.
- Andreas Thom — a second mathematician questions OpenAI on his private chats
Andreas Thom says he spent months discussing the expander matching problem with ChatGPT, then asked OpenAI whether those chats reached the model that produced its non-sofic group result. He calls the answer he got incomplete.
- Codex CLI 0.154.0 — GPT-6 Astra in the picker and git worktree sessions
Codex CLI 0.154.0 adds GPT-6 Astra to the model picker and to Amazon Bedrock catalogs. An experimental worktree mode gives each new or forked session its own isolated checkout.
- Anthropic's alignment review — why Claude attacked real systems in tests
Anthropic published an alignment analysis of four incidents where Claude models reached the live internet during cyber evaluations and attacked real third-party systems. It names two habits behind them: biased reasoning and recklessness.
- Wes Roth — 'OpenAI JUST solved math....'
Wes Roth's September 9 video works through OpenAI's claim that 10,000 agents produced a proposed solution to the Navier-Stokes Millennium Prize Problem in 88 hours, and the argument over credit that followed it.
- Claude Code 2.1.267 — one setting caps effort on every provider
Claude Code 2.1.267 adds maxEffortLevel, a setting that caps the effort level on every provider including Bedrock, Vertex and Foundry. Users can still choose a lower level. A long run of fixes repairs prompt-cache reuse.
- Fireship — 'I built the same game with Astra and Fable 5.1'
Fireship gives GPT-6 Astra and Claude Fable 5.1 the same brief — build a game — and compares what each one produced. The video went up on 9 September 2026, now that Astra is generally available.
- Suno v6 — a music model family trained only on licensed catalogues
Suno v6 is a new family of music models built with data licensed from Warner Music Group, BMG and Believe. It ships as v6, v6-wild and v6-mini, and Suno says it will retire its older models as the rollout finishes.
- Show-Harness — one semantic interface lets a VLM drive a robot arm
Show-Harness is an open control layer that exposes a robot as discrete semantic action units a vision-language model can reason over. Show Lab at NUS shipped the Apache-2.0 code, six LoRA adapters and the demonstration data with the paper.
- Gander — an open 9B model that listens, watches and works at once
Gander is an open 9B omni-interaction model that takes streaming video, speech and text together. You can interrupt it mid-sentence, and a separate reasoning agent keeps working on long tasks in the background.
- TeamAI CLI — Tencent ships one AI setup for a whole team
TeamAI CLI is Tencent's MIT-licensed command-line tool that keeps a team's skills, rules, docs and MCP servers in one git repo and syncs them into Claude Code, Codex, Cursor, CodeBuddy, OpenCode and other agents. It passed 2,700 stars on September 9.
- ComfyUI v0.35.0 — a Comfy Compiler plus GPT-6 Astra and Fable 5.1 nodes
ComfyUI v0.35.0 introduces the Comfy Compiler and adds nodes for OpenAI GPT-6 Astra, GPT Image 2.5, Claude Fable 5.1, Google Omni 1.1 and Meta Muse Image. A File3DToMesh node parses GLB, GLTF, OBJ and STL files into meshes.
- Sebastian Raschka — looped transformers and what Astra's short reasoning means
Sebastian Raschka explains weight-shared 'looped' transformers and pushes back on the idea that GPT-6 Astra hides its reasoning. He argues short chains of thought track model capability, the way bigger models always needed fewer tokens.
- vLLM v0.29.0 — Model Runner V2 becomes the default for every model
vLLM v0.29.0 makes Model Runner V2 the default for all models and adds serving support for Tencent's Hy4-preview and Qwen3.8-Flash-Next. The release lands 594 commits from 277 contributors and removes ten deprecated architectures.
- GPT-5.6 Sol calibrates qubits — Codex agents run measurements at MIT
OpenAI published a case study in which GPT-5.6 Sol, driven through Codex and wired into lab software, ran the standard calibration sequence on an uncalibrated six-qubit superconducting chip in MIT's Engineering Quantum Systems Group.
- AuK — Tencent's open speech model generates and edits audio by instruction
AuK is an MIT-licensed 1.5B speech model from Tencent Hunyuan, Shanghai Jiao Tong University and the Shanghai Innovation Institute. It generates and edits speech from plain-language instructions. Code and weights shipped on September 8, 2026.
- Nex-N2.5 — three open-weight agent models, up to 1.6 trillion parameters
Nex-N2.5 is a family of three open-weight agent models from Nex AGI. The 1.6-trillion-parameter Max tier scores 92.6 on BrowseComp and 86.1 on Terminal-Bench 2.1. All three are Apache-2.0, and mini and Pro run free on OpenRouter.
- Miles v0.1 — RadixArk publishes the technical report for its open RL stack
Miles is an Apache-2.0 reinforcement learning framework for post-training large language and vision models. RadixArk published the v0.1 technical report on September 8, 2026. The repo has 2,685 stars and trains on NVIDIA and AMD accelerators.
- Cohere megakernel — one CUDA file serves North Mini Code faster than vLLM
Cohere open-sourced a decode megakernel for North Mini Code that runs 1.25x to 1.41x faster end to end than vLLM on a single H100. It fuses the whole decode step into one persistent CUDA kernel with no compiler dependencies.
- 1littlecoder — 'open source AI is winning !'
1littlecoder argues in a September 8 video that open-source AI is winning. The week behind it fits the claim: MiniCPM5-2B, IFM's K2 Horizon family and Z.ai's GLM-5.3-Flash all sit in Hugging Face's trending models list.
- Mercury 2.5 — Inception's diffusion model hits 1,107 tokens per second
Mercury 2.5 is Inception's new diffusion language model, which the company calls the largest ever trained. It runs at 1,107 tokens per second on NVIDIA GPUs, handles 260K tokens of context, and costs $0.20 per million input tokens.
- ChatGPT Images 2.5 — OpenAI's image model adds Sketch and two API tiers
ChatGPT Images 2.5 is OpenAI's new image model, with sharper detail, better likeness from reference photos and up to 50% lower generation latency than Images 2.0. Two API models ship with it: GPT-Image-2.5 Flare and GPT-Image-2.5 Sunburst.
- AlphaGenome Atlas — a prediction for every possible DNA letter change
AlphaGenome Atlas is a 1-petabyte dataset from Google DeepMind holding predicted molecular effects for all 9 billion single-letter DNA changes in the human genome. Free to use for non-commercial research from today.
- WeWorm — AI found a WeChat bug that spreads with one call
WeWorm is a demonstration worm that spread through WeChat calls on iOS and Android without the victim touching the phone. Calif used AI to find the memory-corruption bug and write a working exploit in about two days.
- Navier–Stokes — OpenAI agents produce a Lean-checked blowup proof
OpenAI says an internal model, running as about 10,000 coordinated agents, produced a proof that 3D Navier–Stokes fluid flow can blow up in finite time. The proof ships as a paper plus a Lean formalization on GitHub.
- NeoHorse-1 — open 4B and 9B models post-trained by a routing harness
NeoHorse-1 is a pair of Apache-2.0 models, 4B and 9B, that TokenRhythm post-trained by routing agent work across a pool of models and turning the results into training data. The 4B scores 64.87 on the team's ten-benchmark average, up from 58.94.
- Premiere's Generative Media Tool — five AI video models in the timeline
Adobe's Generative Media Tool puts video and sound generation inside the Premiere timeline, with a choice of Adobe Firefly, Google Veo, Kling, Runway or Luma. Draw a range on a track, describe the shot, and generate without leaving the app.
- Deltafin — Kimi K3's 2.8T weights stream off four SSDs at 1 token/s
Deltafin runs the full 2.8-trillion-parameter Kimi K3 on one MacBook Pro. Argonaut Labs' ARGODRIVE build streams 1.45 TB of expert weights from four SSDs into 128 GB of RAM and decodes about 1 token per second.
- Desert Ant Labs — 18 small AI models that run offline inside your app
Desert Ant Labs launched 18 on-device models with Swift, Kotlin and JavaScript SDKs. Each does one job — transcription, PII masking, language detection, video clipping — and runs fully offline. Free up to 100,000 monthly active devices.
- Muse — Meta's personal AI agent runs in its own secure virtual machine
Meta launched Muse, a personal AI agent that shops, books travel and fills in forms for you. Each person's Muse runs in a dedicated cloud VM where a separate Sentinel agent has to approve anything that leaves the machine.
- Two Minute Papers — 'GPT-6 Astra Changes Everything'
Two Minute Papers' September 8 episode works through the first wave of GPT-6 Astra demos that developers posted on X, and pairs them with a new viscous-liquid simulation paper on solving pressure and viscosity together.
- Terence Tao — good open math problems are a resource AI is mining out
Terence Tao argues that good open mathematical problems are scarce and slow to replace, and that pointing AI at them indiscriminately solves today's questions while draining the supply that guides the next wave of research.