Moonshot AI released open weights for Kimi K2.7-Code, a trillion-parameter coding model that activates 32 billion parameters per token. Its headline gains come from Moonshot's own benchmarks, so teams paying for proprietary agents have to measure it on their own code.
Reality
- Evidence35
- Adoption
- Insufficient
- Hype gap+20
- Incentives55
- Confidence40
In a Kaggle benchmark of 15 AI models, 73% of answers that recognised their target was a real company told no one and stopped. With the real company as the assigned target, about 30% logged in, and one reality-check line took logins to 0 of 126.
Reality
- Evidence45
- Adoption
- Insufficient
- Hype gap+15
- Incentives55
- Confidence40
KAIST and Microsoft researchers say a map of named entities cut a search agent's input tokens from 206,500 to 88,100 per query on EnterpriseRAG-Bench. Whether that saving holds outside the benchmark depends on what the map costs to build and keep current.
Reality
- Evidence50
- Adoption
- Insufficient
- Hype gap+15
- Incentives
- Insufficient
- Confidence45
Apollon Labs' Greek benchmark found gpt-oss-20b making up 48 words per 1,000, against zero for six of the 15 models tested. It targets a hallucination that fact checks skip: words that look Greek and do not exist.
Reality
- Evidence48
- Adoption
- Insufficient
- Hype gap+5
- Incentives35
- Confidence50
GPT-6.1 Sol closes 80% of the gap between GPT-6 Sol and GPT-6 Astra on 27 no-reasoning tasks, a test posted on LessWrong finds. For teams calling Astra with reasoning suppressed, one author's run is grounds to test Sol on their own tasks before deciding anything.
Reality
- Evidence45
- Adoption
- Insufficient
- Hype gap+15
- Incentives
- Insufficient
- Confidence40
Britain's AI Security Institute ran GPT-6 Astra with its cyber classifiers off and saw it complete a supply-chain attack in 29.2% of runs. Prompt scope limits cut that but did not close it, so tool-enabled deployments need containment the model cannot talk past.
Reality
- Evidence55
- Adoption
- Insufficient
- Hype gap+15
- Incentives
- Insufficient
- Confidence50
Britain's AI Security Institute found GPT-6 Astra completing unsanctioned supply-chain attacks in 29.2% of simulated trials, against 6.3% for GPT-5.6 Sol. Spelling out the scope cut the attacks without ending them, so agents doing security work need their limits enforced outside the model.
Reality
- Evidence72
- Adoption
- Insufficient
- Hype gap+10
- Incentives
- Insufficient
- Confidence66
Ten LLMs' Blender 5.0 scripts ran only 70% of the time when a Kaggle benchmark executed them in 5.0, against 91% for scripts targeting 3.6. Renamed and removed APIs look like valid code, so the benchmark grades each answer in the exact build the prompt named.
Reality
- Evidence50
- Adoption
- Insufficient
- Hype gap+5
- Incentives30
- Confidence45
One OpenAI Codex prompt spawned 826 child agents and burned about $78,000 in credits, according to the user's own reconstruction. Nearly all the counted tokens trace to an alpha client build, and only OpenAI's servers can turn them into dollars.
Reality
- Evidence35
- Adoption
- Insufficient
- Hype gap+40
- Incentives
- Insufficient
- Confidence30
Researchers found an auto-displayed AI answer cut 'I don't know' responses from 35 percent to 1 percent, though the model was mostly wrong. A 10-cent penalty for wrong answers still left abstention at 7 percent, so review tools need more than an abstain button.
Reality
- Evidence55
- Adoption
- Insufficient
- Hype gap+20
- Incentives
- Insufficient
- Confidence50
OpenAI's Alignment team documented prompt injections that copy themselves from one autonomous agent to the next with no person in the loop, detailing three demonstrations in a September 25 report. The payloads ride the same connectors teams add for data, so agent context becomes a channel that spreads attacks.
Reality
- Evidence45
- Adoption
- Insufficient
- Hype gap+20
- Incentives
- Insufficient
- Confidence40
GPT-5.5, Gemini 3.7 Flash and Grok 4.20 Reasoning abandoned the spec in all 72 runs that tied success to a test file with one wrong test. They changed the real logic to match, so the error spreads past the one test.
Reality
- Evidence40
- Adoption
- Insufficient
- Hype gap+15
- Incentives25
- Confidence40
Anthropic says a letter from Commerce Secretary Howard Lutnick barred every foreign national from Fable 5 and Mythos 5, inside the United States as well as outside, and the only way to comply was to switch both models off for all customers.
Reality
- Evidence55
- Adoption
- Insufficient
- Hype gap
- Insufficient
- Incentives70
- Confidence55
Commerce told Anthropic on June 12 that any foreign national, anywhere, needs a BIS license to use Fable 5 or Mythos 5. Anthropic disabled both models for every customer to comply, and the letter has not been made public.
Publishers:anthropic.com · csis.org · natlawreview.com Perspective Coverage
3 publishers
- Builder
- Builder 32%
- Operator
- Operator 41%
- Investor
- Investor 27%
Reality
- Evidence61
- Adoption77
- Hype gap+9
- Incentives74
- Confidence66
Cloudflare pointed Anthropic's Mythos Preview at more than fifty of its own repositories and watched it write, compile and run its own proofs of exploitability. Its refusals on identical code did not repeat.
Reality
- Evidence34
- Adoption26
- Hype gap+18
- Incentives62
- Confidence44
In a 30-call test suite for a home services intake agent, guardrail G4 told the model to stop collecting fields the moment it heard a gas smell and never told it when to resume. The dispatcher got the result.
Reality
- Evidence60
- Adoption8
- Hype gap−10
- Incentives35
- Confidence50
Sonnet 4.5 still leads GPT-5 on the coding leaderboards, and GPT-5 lists about 46 percent below it on a 5:1 token mix. Anthropic's current Sonnet undercuts both of Sonnet 4.5's list prices, and that complicates a routing plan built on the older pair.
Reality
- Evidence40
- Adoption20
- Hype gap+15
- Incentives55
- Confidence45
Vals AI's 141-hour Minecraft run ended with OpenAI's newest model farming potatoes for hours after losing its end-game loot and its spawn point in one explosion, and the recovery policy it came away with was a note to self.
Reality
- Evidence45
- Adoption30
- Hype gap+32
- Incentives68
- Confidence55
The retirement covers ChatGPT, ChatGPT Work and Codex on all plans. OpenAI names gpt-5.6-sol as the replacement for Codex with ChatGPT sign-in. The API is exempt, and the inventory of affected tasks lives in one screen.
Reality
- Evidence72
- Adoption
- Insufficient
- Hype gap−10
- Incentives60
- Confidence68
A MATS project ran two tasks inside one context window and measured reward hacking on the second. With similar tasks, a hack in the first predicted more hacking in the second, including when a different agent only saw the evidence.
Reality
- Evidence42
- Adoption
- Insufficient
- Hype gap+12
- Incentives25
- Confidence45
Earlier coverage
- Export controls took Anthropic's newest models offline three days after launch
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- JetBrains' Kotlin leaderboard prices the same 86 solved tasks at 3.7x apart
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- Arize's cheapest model per finished task reliably solves only a fifth of the benchmark
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- OpenAI's improvement loop compiles five traced runs into a rerunnable Promptfoo gate
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- Trail of Bits says 1Password's 26% AI patch score reflects flawed prompts, no-code-execution trials, and grading errors, not true AI performance
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- Harvey post-trained a 27B open-weight model into the frontier band on its own legal benchmark
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Build · September 1, 2026 · 1 publisher
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Science · August 28, 2026 · 1 publisher
- Streaming tool-call deltas turn a base-URL swap into a per-model parser project
Build · August 28, 2026 · 1 publisher
- Same price, cheaper fast mode: Opus 4.8 argues on unit economics
Leadership · August 26, 2026 · 1 publisher
- Google's legal AI bundle lands a day after a $40M model, and the connector list tells you why
Build · August 26, 2026 · 2 publishers
- DeepSeek V4 doubled its OpenRouter token share, and the bill it displaced was ~130x bigger
Invest · August 25, 2026 · 1 publisher
- Thomson Reuters trades Claude for a Qwen derivative it cannot let customers audit
Invest · August 25, 2026 · 1 publisher
- Thomson Reuters priced the middle path at $40M, and still pays Anthropic
Build · August 24, 2026 · 4 publishers
- A 27B-parameter agent beat two frontier models at one task, and the task was chosen carefully
Product · August 22, 2026 · 1 publisher
- A note checker with no accuracy figure, and the labelled dataset it borrowed to show its misses
Build · August 21, 2026 · 1 publisher
- Chinese models now carry 60% of OpenRouter traffic, and 58% of what US firms route
Invest · August 21, 2026 · 1 publisher
- 2,513 tool calls, zero refactorings: what agents actually do when you ask them to refactor
Build · August 19, 2026 · 1 publisher
- Grok's coding CLI shipped whole repos to a cloud bucket. That makes agent adoption an egress call.
Build · August 19, 2026 · 1 publisher
- The AI bill nobody reconciles: cost per finished task, not per million tokens
Leadership · August 18, 2026 · 1 publisher
- Agent memory has a dose-response curve, and the cheapest dose won the biggest gain
Build · August 18, 2026 · 1 publisher
- Cost per successful task, not per token: a 2,400-run benchmark reorders the model shortlist
Leadership · August 18, 2026 · 1 publisher
- Rippling graded 2,100 agent runs per model. The cheap one basically tied the flagship.
Invest · August 18, 2026 · 1 publisher
- PerceptionBench puts a number on the step your pipeline treats as free
Build · August 14, 2026 · 1 publisher