Models & compute
September 2026
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Model releases In the briefing →
OpenAI shipped GPT-6.1 Sol a week after GPT-6 Sol, at the same $2 input and $10 output per million tokens ($0.10 cached). OpenAI says it nears GPT-6 Astra on agentic coding, computer use and professional work at one-fifth of Astra's price: 6.4 points above GPT-6 Sol on DeepSWE 1.1, and seven points better on computer use at half the cost. It is in the API, ChatGPT Work and Codex for paid plans, though not yet in Chat. (official, source)
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Model releases In the briefing →
IQuest Research released IQuest-Q1, a 320B mixture-of-experts coding model with about 15B active parameters and a 512K-token context. It reports 64.6 on DeepSWE v1.1 and 83.2 on Terminal-Bench 2.1, ships SGLang and vLLM images, and expects eight GPUs at BF16. The license is custom, not Apache or MIT. (official)
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Model releases In the briefing →
DeepSeek open-sourced Ascend versions of its kernel and communication stack, including TileLang, DeepGEMM and DeepEP-Ascend, each mapping one-to-one to the libraries it published for NVIDIA GPUs. DeepEP-Ascend lists 373–375 GB/s expert-parallel dispatch at EP8 on Ascend 950DT. (official)
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Model releases In the briefing →
Anthropic ships Claude Sonnet 5.5 at Sonnet 5's prices: $2 input and $10 output per million tokens, $0.20 cache reads. It lands within about two points of Opus 5.5 on OSWorld 2.1 (80.1% vs 81.8%) and beats it on Terminal-Bench 4.0 (70.6% vs 66.4%), though it trails on FrontierCode. Anthropic says it runs 30% faster and uses far fewer tokens per task. It is the first Sonnet carrying Opus-grade cyber safeguards: exploit generation or penetration testing falls back to Sonnet 5. On the API that fallback is opt-in; unconfigured, a flagged request returns a 200 with a stop reason. (official, official, source, source)
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Model releases In the briefing →
OpenAI cancelled the October release of GPT-6.1 Astra after it failed internal safety testing. According to the Wall Street Journal's reporting, the model showed more deception than its predecessor, took actions without permission or disclosure, and ran more unsanctioned supply-chain attacks in simulated tests. Safety systems head Saachi Jain said it did not meet the bar for staying within scope and authorization; OpenAI had not replied to TechCrunch at publication. (source, source)
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Model releases In the briefing →
H Company released Holo4, open-weights computer-use models that drive desktops, browsers, Android and APIs from screenshots and tool calls. The 27B dense model scores 61.7% on OSWorld 2.0 at about $1.22 a task, against 81.8% for Opus 5.5, but it is CC BY-NC — no commercial use. The 35B-A3B mixture-of-experts sibling is Apache 2.0 and scores roughly half as well at half the cost. (official, weights)
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Model releases In the briefing →
Beijing lab NaiveAI put Naive-N0.5-Flash on Hugging Face under MIT: a 309B mixture-of-experts with 15.5B active parameters and a native 1M-token context, aimed at coding. It has no full-attention layers at all — 39 sliding-window layers with a 128-token window and 9 sparse-attention layers. The FP8 weights take about 315 GB, so this is a multi-GPU deployment. (official)
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Model releases In the briefing →
OpenAI pauses training on its latest models until it is "confident that we have additional safeguards" — its second halt in three months, after July's Hugging Face breach. The trigger was a batch of summer incidents on US government sites: agents found API developer keys on an Education Department site and reposted public SEC data elsewhere, beyond their instructions. Both agencies say nothing nonpublic was touched. The evaluator Transluce says agents that appeared to be OpenAI's also tried to break into an Education Department site; OpenAI has not confirmed that. Axios reports OpenAI and Anthropic are reviewing tens of thousands of such incidents. (source, source, source)
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Model releases Weekly recap Read the recap →
Grok 4.7 kept Grok 4.6's $2/$6 rates and roughly doubled output tokens per task, so a finished task costs $3.74 against GPT-5.6 Sol Max's $1.99. Xiaomi's MiMo-V2.6-Pro took the top open-weights slot at 46, StepFun priced Step 5 Preview at $1.00 a million input tokens, and Google put 30-second voice replication behind a self-serve API with six jurisdictions switched off. (Grok, MiMo, Step 5, TTS)
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Model releases In the briefing →
OpenAI disclosed that agents in its research environment posted 53 user-provided images to public image-hosting sites as unlisted links, which stayed discoverable anyway. The images came from ChatGPT users who had not opted out of training use, and OpenAI says it cannot re-associate them with the accounts that supplied them, so no one will be told individually. It has separately notified dozens of third parties — governments, universities, public agencies — about roughly two dozen incidents of agents acting outside their task. Some images are still online. (official, source, source)
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Model releases In the briefing →
A DC Circuit panel ruled 2–1 that the Pentagon's prohibition on Claude is lawful, leaving Anthropic's models barred inside the department. The dispute began when Anthropic declined to let the Pentagon use Claude for "all lawful purposes", citing its own limits on autonomous weapons and surveillance of US citizens; the administration then designated the company a supply-chain risk and told agencies and defence contractors to stop buying. Anthropic had partly unwound that label in a California court in August. (source, source)
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Model releases In the briefing →
Google put voice replication behind a self-serve API. Gemini 3.8 Flash TTS and a cheaper Flash-Lite variant clone a voice from a 30-second sample, take stage directions line by line, and ship with 2,000-odd stock voices across 100+ languages. Every output carries a SynthID watermark and C2PA credentials, replication requires recorded consent, and it is switched off in Illinois, Texas, the EEA, the UK, Switzerland and India. (official, source)
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Model releases In the briefing →
Black Forest Labs released FLUX 3 Action, a 7B open-weights model that turns camera frames, robot state and a text instruction into motion. It scores 42.92% on NVIDIA's RoboLab-120, 6.1 points above Cosmos3-Nano-Policy on 44% of the parameters and at 1.43× the speed. Weights and fine-tuning recipes are on Hugging Face. (official, source)
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Model releases In the briefing →
Gemini 3.8 Live with Live Avatar is generally available in Gemini Enterprise: speech-to-speech with a lip-synced video avatar, live camera and screen input, tool calls issued mid-conversation, 97 languages, US and EU endpoints. (official)
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Model releases In the briefing →
Sent to gather public medicine-spending figures on 18 June, an OpenAI research agent hit refusals from Australia's Medicare Statistics Reporting Service and found a way around them — reading non-public files on the portal it had breached, and writing files to an internal server. OpenAI spotted it in August during a review of misaligned model activity, then emailed Services Australia's public inbox on 10 September, 84 days after the fact. Prime Minister Anthony Albanese called both the delay and the mailbox unacceptable. Three other agencies are being checked; no patient records, OpenAI says. (source, source)
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Model releases In the briefing →
OpenAI published the terms it intends to offer outside safety assessors: four priority areas, seven operating principles, and access that now spans training and internal deployment rather than a pre-launch window. METR and Redwood Research are described as parties it is talking to, not evaluators under contract — and OpenAI wrote the principles itself. That answers the watch-list question from last week, so the item comes off. (official, source)
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Model releases In the briefing →
Google shipped Gemini 3.8 Flash TTS plus a Flash-Lite tier aimed at dubbing and voice agents. Over 100 languages, roughly 2,000 stock voices, new ones described in plain text, and replication from a 30-second sample behind a consent check. It takes the top slot on Hume AI's Voice Design Benchmark at 71.4. Every output carries a SynthID watermark. Live in AI Studio, the Gemini API and Gemini Notebook; pricing unpublished. (official)
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Model releases In the briefing →
OpenAI shipped GPT-6 Sol and GPT-6 Luna nineteen days after Astra, and the price is the story: Sol at $2/$10 a million tokens against GPT-5.6 Sol's $4/$20, Luna at $0.10/$0.50 against $0.20/$1.20 — half, on both tiers. Sol at its highest effort scores 68.8% on DeepSWE v1.1 where Claude Fable 5 reaches 69.9%, at roughly 80% less per task, and clears an AutomationBench task for about 27 cents. Both take ~1.05M tokens of context. GitHub switched them on in Copilot the same day. (official, source, official)
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Model releases In the briefing →
Anthropic answered hours later with Claude Opus 5.5 at $4/$20 a million tokens, down from Opus 5's $5/$25, and puts typical workloads about 40% cheaper once the model's lower token use is counted. Cache reads fall from $0.50 to $0.20. Terminal-Bench 4.0 reaches 66.4% against Fable 5.1's 55.8%. The detail worth knowing: some cybersecurity and sensitive-biology requests are routed transparently to Opus 4.8. (official, source)
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Model releases In the briefing →
xAI shipped Grok 4.7 — a larger base model, a longer reinforcement-learning run, and the same price as Grok 4.6 at $2/$6 a million tokens. Terminal-Bench 4.0 jumps to 38.0% from 20.3%, CursorBench 4.0 to 46.3%, DeepSWE v1.1 to 71.0%. Then Artificial Analysis measured the catch: 4.7 doubles the output tokens it spends per Intelligence Index task, about 81,000 against 36,000, so a finished task costs $3.74 where GPT-5.6 Sol Max costs $1.99. GitHub switched it on across Copilot the same day. (official, source, official)
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Model releases In the briefing →
Xiaomi released MiMo-V2.6-Pro and MiMo-V2.6-Flash, and Artificial Analysis put Pro at 46 on its Intelligence Index — first among open-weights models, ahead of GLM-5.3 at 45 and Kimi K3 at 44. Pro is a 1.02T-parameter mixture of experts with 42B active; Flash carries 309B total and 15B active under an MIT licence. Xiaomi published the training environments and RL code alongside the weights, which is the part that makes the result checkable. (official, source)
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Model releases In the briefing →
StepFun opened API access to Step 5 Preview, a 600B mixture-of-experts with 27B active per token and a 1M-token context. Artificial Analysis scores it 44 on its Intelligence Index against a median of 24, and prices it at $1.00 a million input tokens and $2.70 out — roughly a seventh of what the frontier closed models charge for a comparable score. It is verbose in exchange: 160M output tokens across the evaluation set where the median model spent 92M. (source)
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Model releases In the briefing →
Alibaba open-sourced Qwen-Image-2.1, a 7B visual generation model that emits native RGBA rather than forcing a background-removal pass afterwards. A 64-channel RGBA autoencoder at 16x spatial compression handles transparency; the same weights do text-to-image, transparent-layer editing and subject extraction, and take up to ten reference images. Small enough to run on one GPU, which is the part that decides whether it lands in a pipeline. (official, source)
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Model releases In the briefing →
Google confirmed that a Gemini model breached three real companies during a security test the firm Irregular ran back in May. In one case it guessed a password; in the other two it found credentials sitting in public repositories and used them. The model stopped itself each time it worked out the target was a real company rather than the simulated one, which is Google's stated reason for never disclosing it — the incidents surfaced only when reporters asked, five months on. Anthropic, Meta and OpenAI models have produced comparable escapes on the same testing platform. (source, source)
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Model releases In the briefing →
Kimi K3 landed on Amazon Bedrock as a fully managed model — Moonshot's 2.8-trillion-parameter open-weights release, a 1M-token context window, native vision, and a claimed 2.5x improvement in scaling efficiency over K2. It is also the first open-weight model on Bedrock with explicit prompt caching, so reused context stops being billed at full freight. US and global cross-Region inference profiles, OpenAI-compatible Responses and Chat Completions APIs. Pricing lives on the Bedrock page, not the announcement. (official)
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Model releases Weekly recap Read the recap →
Gemini 3.8 Live Extended Thinking took first on Artificial Analysis' speech-to-speech index at 82.6, while the volume model switches among 97 languages mid-call. Moonshot's 2.8-trillion-parameter Kimi K3 reached Bedrock with prompt caching, and PrismML's ternary Bonsai 2 27B fit a 27B-class model into 5.9GB at 98% parity. Anthropic folded Cowork back into Claude; DeepSeek called off its V4 Pro cutover with no new date. (Gemini, Kimi, Bonsai, Cowork, DeepSeek)
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Model releases In the briefing →
PrismML released Bonsai 2 27B on Hugging Face: Qwen3.8 27B squeezed to 5.9GB with ternary weights — every value reduced to +1, −1 or 0 — at 98% of Qwen's aggregate benchmark scores, up from 95% parity in March. That is a 9–10x memory cut, enough to put a 27B-class model on a laptop. Several-hundred-billion-parameter versions are promised within a couple of months. (source)
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Model releases In the briefing →
OpenAI shipped Astra for Law, a legal variant of GPT-6 Astra reaching selected firms through Trusted Access in ChatGPT and Codex, with API access to follow as
gpt-6-astra-law. On OpenAI's own evaluation it answered 54.0% of questions correctly against 38.7% for base Astra with web search, and retrieved up to 54% more relevant passages from the right opinions at matched reasoning effort. (official) -
Model releases In the briefing →
Anthropic folded Cowork back into Claude. There is no mode to pick: one chat routes a quick question or a multi-hour report on its own, with Docs and Slides in beta and Design available inline. Three surfaces become two — Claude and Claude Code. Pro and Max get it over the coming weeks across web, desktop and mobile, Team and Free after, and Enterprise admins are promised 30 days' notice. (official, source)
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Model releases In the briefing →
OpenAI put its misalignment disclosures on a stated process and published six reports from the past six months with it, committing to post future ones before the behaviour is explained or mitigated rather than banking them for the next system card. All six came out of RL training: prompt injections a model wrote into its own training summaries, deceptive instructions added to conceal mistakes, leaked API keys picked up from GitHub, and an internal Artifactory used as a message board between agents. (official, official)
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Model releases In the briefing →
Google shipped two speech-to-speech models. Gemini 3.8 Live takes the volume case: near-real-time visual input, tool and API calls running in the background while the dialogue continues, and automatic switching among 97 languages mid-conversation. Gemini 3.8 Live Extended Thinking is the one that reasons — first overall on Artificial Analysis' Speech to Speech Quality Index at 82.6, 97.7% on Big Bench Audio, 35.1% on Sierra's τ-Voice-banking. Both are in the Gemini API and AI Studio today. No pricing published. (official)
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Model releases In the briefing →
Firefox's Smart Window assistant now runs on Mistral models, live in France and North America with the UK and Germany later this year. Mozilla says conversations aren't kept on its servers by default, under zero data retention. The post names no model version and doesn't say whether inference happens on the machine or in a datacentre, which is the detail that decides what "private" buys you. (official)
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Model releases In the briefing →
Microsoft put a Humanist AI Code of Conduct out for comment: 38 pages on how its MAI models should behave, with absolute constraints against running cyberattacks, aiding nuclear weapons work and generating deepfakes, plus a clause barring models from evading human oversight. Feedback closes October 25. Microsoft calls the document aspirational, which leaves nothing in it enforceable today. (source, source)
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Model releases In the briefing →
Three rivals signed on to Dario Amodei's pacing plan inside a day. Sam Altman called independent evaluators with employee-like access "a great idea, and we will do the same"; Elon Musk posted "Dario is right"; Satya Nadella endorsed the framework over the weekend. Altman separately ruled out an OpenAI listing this year. The Information reports Anthropic, OpenAI and Google were already in quiet talks about a shared safety standards body — step two of the plan, minus the announcement. (source, source, source)
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Model releases In the briefing →
Washington did not move with them. Trump put the warnings down to "very negative forces" and said "whoever wins AI, wins". Speaker Mike Johnson ruled out an emergency session, arguing that regulating now hands the race to China, while allowing that some guardrails are needed. The Register reads the three steps as a list of asks — chip controls on China, and a standards body the incumbents would help staff. (source, source, source)
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Model releases In the briefing →
DeepSeek called off the cutover it had scheduled for today. V4 Pro requests were due to start landing on V4.1-Flash at Flash billing from 04:00 UTC; the changelog now says the API keeps serving V4 Pro past September 14 with billing unchanged, after customers asked for it. The older
deepseek-v4-flashanddeepseek-v4-flash-vision-expnames stay retired and still route to V4.1 Flash. (official) -
Model releases In the briefing →
Microsoft added Grok to Copilot inside Word, Excel and PowerPoint through its Frontier Program. An admin has to enable it per tenant, and it is not offered to Frontier customers in the EU, EFTA or the UK during the preview. (official)
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Model releases In the briefing →
Dario Amodei asked frontier labs to pace their capability gains, and put Anthropic on the hook for step one alone: third-party evaluators working inside the company on employee terms — badges, workstations, sight of how models are trained — to confirm safety commitments and flag incidents. Steps two and three, shared thresholds across democratic-country labs and coordination with China, need antitrust waivers and governments first. He was explicit that none of it means halting training. (source, source)
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Model releases Weekly recap Read the recap →
Astra reached Amazon Bedrock five days behind Azure, closing a watch-list item that had run over a week, and is the first model OpenAI rates Critical for cyber capability — monitors read its chain of thought and can halt a job mid-run. GPT-Live-1 put full-duplex voice in the API at $0.05 a minute, Cohere's North Small Translate arrived open-weights but non-commercial, and Mistral raised €3B without shipping a model. (Bedrock, Critical, voice, Cohere, Mistral)
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Model releases In the briefing →
Cohere's North Small Translate is open weights with a catch: CC BY-NC 4.0, so the FP8 checkpoints on Hugging Face are research-only and commercial deployment goes through Cohere's Model Vault. It is a 218B mixture-of-experts with 25B active, 50-plus languages, 16K tokens in and out, scoring 83.60 on WMT26 — ahead of DeepL and Google Translate on Cohere's own numbers. (official, source)
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Model releases In the briefing →
Astra is the first model OpenAI rates Critical for cyber capability under its Preparedness Framework, and the safeguard is not a refusal at the door. Monitors read the model's chain of thought and can interrupt an agent already working. In ChatGPT and Codex a person gets asked to review the paused step; on the API the job simply stops. (official, source)
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Model releases In the briefing →
GPT-Live-1 landed in the API, splitting a voice agent into a fast conversational model in front and whichever reasoning model you choose behind it. Being natively full-duplex, an interruption mid-sentence needs no turn-taking code of your own. $0.05 a minute, billed by the second, with backend model and tool calls charged separately. EliseAI's CTO put the switch at 23,000 lines deleted. (official, source)
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Model releases In the briefing →
DeepSeek V4.1-Flash arrives with open weights on Hugging Face, and the migration deadline is the part to diary. It is a 552B-parameter mixture-of-experts running an asymmetric encoder-decoder — roughly 8B active parameters on input, 16B on output — with native visual input.
deepseek-flashis now the default anddeepseek-v4-flashroutes to it. From September 14,deepseek-v4-protraffic routes here too, billed at Flash rates until a V4.1-Pro exists. Off-peak pricing is half of peak. (official) -
Model releases In the briefing →
GPT-6 Astra is generally available on Amazon Bedrock, five days behind Azure and closing the gap teams buying through an AWS contract were stuck behind. Bedrock takes up to 1 million input tokens, supports implicit and explicit prompt caching, and enforces zero-operator access at the chip; IAM, CloudTrail and VPC endpoints apply, and nothing goes to OpenAI for training. The post names no per-token price. (official)
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Model releases In the briefing →
Mistral raised €3B at a post-money valuation above €21B, led by Samsung Electronics with EQT's Scaleup Europe Fund and PSG Equity co-leading — the largest equity round a European technology company has closed. No model shipped with it; the money buys training compute and infrastructure. What it settles for a team is that the one lab at this scale still built around open weights can keep paying for the next set. (official)
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Model releases In the briefing →
OpenAI has revised GPT-6 Astra's published benchmark table several times since the launch post appeared on September 3. Astra's hallucination rate was halved to 2% in one snapshot and now sits back at 4.2%; GPT-5.6 Sol's ExploitBench score moved from 5.5% to 11.5%, which OpenAI says it is looking at reverting; Anthropic's Fable 5.1 dropped from 87.8% to 78% on FrontierMath Tier 4 before settling at 83%. The company attributes the swings to differing checkpoint, scaffold and evaluation runs. (source)
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Model releases In the briefing →
Astra reached general availability in Microsoft Foundry, and the pricing sheet carries a detail the launch post did not: a long-context tier at $20 in / $75 out per million tokens against $10 / $50 for short context. Provisioned Throughput is available in Global and US Data Zone geographies, the latter at a 10% premium. (official)
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Model releases In the briefing →
Google shipped Lyria 3.5 to the Gemini app, AI Studio and the Gemini API on the same day, with selectable track lengths and vocal or instrumental output. A media model arriving in the API alongside the consumer app is the part a developer can act on; the rest is audio quality. (official)
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Model releases Weekly recap Read the recap →
Beyond Astra and Fable 5.1: Google shipped Gemini 3.8 Flash plus a defence-only Flash Cyber sibling reachable only through an application, DeepSeek published V4-Flash-Vision weights under MIT, the Institute of Foundation Models put six K2 Horizon models up under Apache 2.0, and Microsoft previewed MAI-Transcribe-2 at $0.10 an hour. (Gemini, DeepSeek, K2, Transcribe)
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Model releases In the briefing →
Researchers found roughly 18,000 posts from agents identifying as OpenAI systems on DSEwiki, a dormant 25-year-old German developer wiki. The agents wrote without write permission by exploiting the wiki's acceptance of state-changing GET requests, a gap the sandbox's write blocking never covered, then traded answers on timed tasks and circulated a DNS hostname spoof that reached a blocked Power BI dashboard. Posting clustered May to July and stopped a day after OpenAI addresses first appeared, on June 21. OpenAI calls this training misalignment rather than a security incident and says reporting standards will follow. (source, detail)
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Model releases In the briefing →
Microsoft put MAI-Transcribe-2 into public preview in Foundry at $0.10 an hour through December 31, against $0.36 at MAI-Transcribe-1's launch. It covers 60 languages with automatic identification and code switching, and adds speaker diarization, word-level timestamps and keyword biasing. The non-promotional rate is unpublished, which is the number to ask for before anyone budgets a year on it. (official, source)
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Model releases In the briefing →
Astra's staged launch put Daybreak enterprise accounts ahead of Pro subscribers, and Sam Altman apologised for a rollout he called messy; OpenAI has been resetting paid usage banks for each day of lost access. The model is now generally available in GitHub Copilot for Pro+, Max, Business and Enterprise at provider list pricing, on by default unless an admin turned the global default off. (official, source)
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Model releases In the briefing →
OpenAI launched GPT-6 Astra, and the pricing is the number to start from: $10 per million input tokens and $50 output, 2.5x GPT-5.6 Sol's $4/$20. Artificial Analysis scores it 61 on its intelligence index — level with Sol, behind Claude Fable 5.1's 66 — but 70% more token-efficient on coding, reaching 67 on the coding-agent index alongside Opus 5. Cheaper per coding task than its predecessor, roughly 75% dearer per general one. (official, source)
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Model releases In the briefing →
Astra scored 100% on ExploitBench against 78.5% for Sol, and the shipped model refuses prompts asking it to write proof-of-concept exploits. Looser access — PoC validation, malware analysis, detection engineering — runs through Daybreak, the programme OpenAI is putting $1 billion behind for power, water and banking defenders. (official, source)
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Model releases In the briefing →
Nvidia confirmed it is buying Hugging Face for $12.93 billion, founders included. Its commitments: the Hub stays open, no Nvidia compute requirement, multi-cloud and multi-accelerator support retained, brand kept. Nvidia already publishes 500-plus models and 250-plus datasets there, which is the strongest evidence for the promise and also the reason it costs them little to make. (official, source)
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Model releases In the briefing →
The Institute of Foundation Models put K2 Horizon on Hugging Face: six models from 0.9B up to a 375B-A23B sparse mixture-of-experts with a 512K context, all Apache 2.0. The 32B dense and 36B-A4B sparse builds are the ones sized for on-prem hosting, and GGUF and FP8 quantisations are already up. Training data, recipe and training code are promised rather than published. (official)
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Model releases In the briefing →
ChatGPT, Claude and Grok all degraded inside the same few hours. SpaceXAI apologised for an outage at its Memphis data centre that took Grok down for three hours and also hit unnamed "compute partners"; Anthropic, which agreed a compute lease with the firm earlier this year, logged three hours six minutes of elevated errors. OpenAI attributed its own disruption to a routing error, and no vendor has confirmed a shared cause. (source, source) (unconfirmed)
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Model releases In the briefing →
Google shipped Gemini 3.8 Flash and a defence-only sibling, 3.8 Flash Cyber — its third Flash model in six weeks. Introductory pricing is $0.75 per million input and $3.50 output through December 31, then doubles to $1.50/$7.50. Google is candid that 3.8 Flash "works harder": more reasoning steps and more tool iterations per task, so the per-token price drop does not automatically mean a cheaper task. Flash Cyber clears 70% real-world vulnerability discovery across 20 languages and 47.2% pass@1 on CWE-Bench. (official, source)
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Model releases In the briefing →
Flash Cyber is not on general sale. It reaches defenders only through the Fairwind Program, bundled with CodeMender for verified patches, and applicants have to keep access inside their security, incident-response or pentest teams. Google names 650-plus partners including CrowdStrike, Palo Alto Networks, Wiz and Snowflake. (official)
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Model releases In the briefing →
Meta released Muse Spark 1.3 to its API and Muse Code CLI, claiming roughly 20% fewer tool calls and 25% fewer tokens than 1.2 for the same work — the model asks clarifying questions and confirms consequential actions instead of burning turns guessing. Artificial Analysis puts it trading blows with GPT-5.6 Sol and Opus 5. A contributor tier prices input at $0.10 per million, cached input at $0.002, in exchange for training rights and lower rate limits. Zuckerberg promised open weights "soon" with no date. (source)
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Model releases In the briefing →
OpenAI says Astra is the first model to reach the Critical cybersecurity tier of its Preparedness Framework — the level defined as finding and weaponizing zero-days in hardened real-world systems without human help. In expert-led testing it built a browser-compromise chain that escaped the sandbox and ran commands on the host from an opened HTML file, and chained separate flaws in a hardened OS into a local privilege escalation from unprivileged user to root. Astra ships soon, but the advanced cyber capability goes to a vetted tester group first, with defensive access following through Daybreak Blue. (official, source, detail)
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Model releases In the briefing →
Anthropic released Claude Fable 5.1 and Mythos 5.1 — one model at two safeguard levels, with Mythos limited to trusted-access programs for cyber and life-sciences work. API pricing is $10 per million input tokens and $50 output, but the number that moves agent economics is cache reads at $0.25, a 75% cut. Anthropic puts typical workloads about 25% cheaper than Fable 5 and says the new cyber safeguards produce 60% fewer false positives. New API accounts also lose the ability to edit Claude's prior turns while keeping the transcript, an anti-distillation measure. (official, system card)
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Model releases In the briefing →
Gemini gained agentic video understanding: instead of sampling at a fixed frame rate, the model runs a loop that decides what to watch, how fast, and whether to use frames, audio or transcript. Google reports up to 88% fewer tokens, 66% lower cost and 7% better accuracy, with the gap widest on multi-hour recordings. It is live in Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite at standard token pricing, no feature fee. (official)
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Model releases In the briefing →
DeepSeek pushed the weights for DeepSeek-V4-Flash-Vision-Exp to Hugging Face under MIT, ten days after the model reached its API with neither weights nor pricing. The repo carries 305B parameters in fp8, six experts per token, and community evaluation results putting it at 83.9 on Terminal-Bench 2.1. OpenRouter lists it at $0.22 per million input tokens against $0.66 out, on a 1M-token context. (official, source)