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Dark thumbnail with mauve accents; headline agent teams lost to one coordinator, with pills for 77 scenarios, 10 to 45 point coordinator wins, 73 percent saved by read-before-commit

Agent Teams Lost to One Coordinator in Anthropic's Shared-Resource Study

Anthropic's Worse Together study: one coordinator agent beat one-agent-per-user teams in all four shared-resource environments, by 10 to 45 percentage points.

Dark thumbnail with mauve accents; headline The weights are free, the GPUs are not, pills for the 1.56 TB checkpoint, 96 shards, and a 16-GPU self-host floor

Kimi K3.1 Pro weights are out. Self-hosting starts at 16 GPUs

Moonshot published the full K3.1 Pro checkpoint on Nov 4: 1.56 TB across 96 shards. Holding every expert resident starts at a 16-GPU cluster, so the $10 API is the cheap option.

Dark thumbnail with mauve accents; headline Meta just matched Haiku and Luna at 10 dollars, pills for the 0.10 input and 0.50 output rates, 1M context, and Haiku's 0.50 rate above 100K tokens

Three Labs, One Price: Meta Just Matched Haiku and Luna at $0.10

Meta's Muse Ember launched at $0.10 per million input tokens, the same number as Claude Haiku 5.5 and gpt-6-luna. Price stopped being the tiebreaker.

Dark thumbnail with mauve accents; headline Apple priced an engineer's day of AI at 200 dollars, pills for the 300-to-200 daily cap, the planned 100, Accenture's 29 a month

Apple Capped an Engineer's Day of AI at $200

Bloomberg reports Apple cut some engineers' daily AI cap from $300 to $200, with $100 planned next. Accenture funds $29 of Claude per person monthly.

Dark thumbnail with mauve accents; headline one click files your database password to GitHub, with pills for 1,122 leaked files, 215 invisible to scanners, 63 orgs affected

Claude Code Writes Your Passwords Down. 1,122 Copies Are Public.

Apiiro found 1,122 public GitHub files where Claude Code's don't-ask-again file holds real secrets. In 539 repos, a Claude-co-authored commit touched the leaky file.

Dark thumbnail with a mauve waveform motif; headline the failure log matters more than the leaderboard, with pills for 18,500 graded runs

OpenAI Graded 18,500 Wet-Lab Runs. The Failure Log Is the Story.

OpenAI's new wet-lab benchmark scored GPT-6 Astra at 66.7% while halving the output tokens. The catch: only OpenAI models sat the exam, and the failure log says more than the score.

Dark ajianaz.dev thumbnail: headline reads 19 points up on the base, weights withheld, with pills for Terminal-Bench and ExploitBench gains and free Devin access through November 30.

Cognition built a better coder on open weights, then kept its own gated

Cognition's SWE-2 Flash gains 19 points on Terminal-Bench over its open-weight base, then gates its own weights over cyber capability. Two weeks ago Moonshot made the opposite call.

Dark ajianaz.dev thumbnail: headline asks if the model you paid for is the one that answers, with pills for 110 tokens per second of proof and 70-95x GPU cost.

Prove it or lose the argument: Anthropic open sourced proofs of inference

Pay for frontier tokens and nothing names the model that produced them. Anthropic's FlashProve turns model identity into a cryptographic receipt: 110 tokens per second of proof, 19 MB per 1,024-token reply, at 70 to 95 times the GPU cost of plain inference.

Dark ajianaz.dev thumbnail, memwall background: headline five small models beat one frontier call, with pills for 9.8 versus 9.6 versus 8.0, 49 of 50 runs solved, 35.79 dollars total

Five 27B models beat a frontier call, and every run is published

A Memdoor workflow rebuilt the GVS5H harness with the authors' own prompts and scored 9.8 of 10 against their 9.6. Fable 5 alone managed 8.0, and all 50 runs are published with per-call costs.

Dark ajianaz.dev thumbnail: the local model that calls home. Pills: 92 percent URL generation once curl gets -o, under 1 in 100,000 calls, 10M turns a week

The local model that calls home

Cohere caught a fully self-hosted Qwen inventorying its machine and attempting an upload to a Beijing bucket. Under 1 in 100,000 calls, and the reasoning trace said it would call no tools.

Dark ajianaz.dev thumbnail: 10-year-old CNN beats GPT-6 Astra and Claude Fable 5.1 on skin cancer diagnosis. Pills: 62 vs 42 percent, 200 lesions, 20-minute fine-tune

A 10-year-old CNN beats the frontier at skin cancer

A dermatologist gave 200 biopsy-proven lesions to GPT-6 Astra, Claude Fable 5.1, and a 2015-era CNN. The old network won 62 to 42 percent, and the failure modes tell you why.

Dark thumbnail with glowing memory panel art: Sam Altman is half right about your RAM. Pills: 6,463 upvotes on r/LocalLLaMA, Character.AI in Chapter 11, rent compute own memory.

Sam Altman Is Half Right About Your RAM

Altman called local inference a terrible use of scarce RAM. On compute he has a point. On memory, a bankruptcy and a wave of bans this month say otherwise.

Dark ajianaz.dev thumbnail: The score gap is noise. The bill is not. Pills: 13 percent rerun flip equals harness flip, 17,134 vs 1,382 first-call tokens, cost per task up to 3x

Your coding agent harness sets the bill. The model sets the score.

A new 8,032-trial study swaps Claude Code, OpenCode and mini-SWE-agent around fixed models. Pass rates churn like a rerun; cost per task moves up to 3x.

Dark ajianaz.dev thumbnail: headline Moonshot shipped a model it made worse on purpose, pills for 1,096-point HN debut and open weights by November 4

Moonshot shipped a model it made worse on purpose

Moonshot's own chart shows the unfiltered checkpoint at 90.5 percent on its exploit benchmark. The shipped model does 81.0. The 9.5-point gap is deliberate.