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Evidence for the teams putting AI into production.

Independent analysis of models, agents, automation and research—written for people responsible for what ships, what it costs and what can fail.

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Papers to production8 min

Anthropic Finds Scientists Use Claude Most for Data Analysis and Writing

A November 5 study classifies 207,049 consumer-plan research sessions and finds heavy use in computational fields—but its 2× to 16× acceleration figures are modeled scenarios, not observed productivity gains

Anthropic analyzed 207,049 research sessions from Claude and Claude Code. Data analysis and writing dominate current use, while the study’s larger acceleration figures depend on strong automation and cost assumptions.

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Agents8 min

Anthropic’s Project EVE Tests Claude Agents in Markets and Sabotaged Teams

The November 6 study reports profitable trading against replayed game data and capable fleet coordination, but directional bets were weak and warned teams almost never identified a prompted saboteur

Anthropic put Claude agents into EVE Online market replays and live EVE Frontier missions. The first-party results show disciplined execution and coordination alongside brittle adaptation, weak forecasting and a serious multi-agent oversight gap.

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Models7 min

AWS Adds Managed NVIDIA MIG Partitioning to SageMaker AI Inference

Real-time inference-component endpoints can now split A100, H100 and supported Blackwell GPUs into hardware-isolated slices, but layouts are fixed at endpoint creation and customers still pay for the full instance

AWS launched managed GPU partitioning for SageMaker AI on November 6. It can place multiple models on one accelerator without self-managing MIG, but support is limited to inference components, four instance families and seven Regions.

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Agents8 min

Anthropic Details a Four-Layer Memory Design for Long-Running Claude Agents

The November 6 engineering report separates transcripts, notes, navigable representations and injected context, then tests offline “dreaming” passes that correct notes and build wikis—but the results remain first-party and task-specific

Anthropic published new agent-memory evaluations on November 6. Its strongest practical lesson is not to inject everything: preserve transcripts, keep a small index, validate notes against source records and test whether a maintained representation beats search.

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Coverage

Technical change, connected to a real decision.

We separate vendor claims, public evidence and our own recommendations. When evidence is thin, we say so.

01

Models

Capability, cost, deployment and model-selection decisions.

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Agents

Coding agents, tool use, orchestration, control and reliability.

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Automation

Operational workflows that survive contact with production.

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Papers to production

What research changes, what it proves and what teams can use now.

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Benchmarks

Evaluation design, reproducibility and evidence beyond leaderboards.

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Buyer guides

Evidence-led frameworks for expensive AI tooling decisions.

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OUR STANDARD

No invented benchmarks. No disguised advertorials. No certainty without evidence.

Primary sources first

Reproducible methods

Limitations in plain view

Commercial ties disclosed

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Latest research

The latest from every desk.

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Models6 min

Liquid AI’s LFM3-1.7B Lands on OpenRouter With Free and Paid API Routes

The 1.73B-parameter text model is callable as liquid/lfm-3-1.7b or liquid/lfm-3-1.7b:free with 262K context, mandatory reasoning and an 8,192-token output ceiling; the provider may retain prompts and outputs for training

OpenRouter added free and paid LFM3-1.7B routes on November 6. The free endpoint makes the compact agent model easy to trial, but its data-use terms and small-model limits rule out sensitive or high-stakes workloads without further review.

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Models8 min

OpenAI Launches GPT-6 Cyber for Restricted Daybreak Red Access

The cyber-specialized GPT-6 Astra variant is initially available through the API and Codex to selected approved customers, with no public model ID or price announced

OpenAI released GPT-6 Cyber on November 5 for a select group of approved Daybreak Red customers. The company reports large gains in exploit development and scope adherence, but access remains restricted and the results are primarily vendor evaluations.

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Models8 min

Google Launches Gemini Omni 1.2 Flash With 15-Second Video and a 30% Lower 720p Price

The generally available gemini-omni-1.2-flash API adds longer native video, multi-turn editing and stronger reference controls, while existing Omni 1.1 calls will reroute on December 3

Google released Gemini Omni 1.2 Flash on November 5. The paid API model generates and edits video up to 15 seconds with native audio, costs about $0.07 per second at 720p, and replaces Omni 1.1 automatically in December.

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Models7 min

OpenRouter Launches Auto Router and Auto Code for Dynamic Model Selection

The November 5 API routes choose models per task and session, charge the selected model’s rate without a router surcharge, and leave quality, price and capabilities dependent on the downstream choice

OpenRouter released openrouter/auto for general workloads and openrouter/auto-code for coding agents on November 5. The routes can change models across tasks, expose the selected model in responses, and inherit variable model pricing and limits.

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Models7 min

Ricursive Releases Ripple-65B Preview With Open Weights, 1M Context and a $0.20 API Route

The 65B dense coding model is available in BF16 and NVFP4 under Apache 2.0, while its headline agentic scores and $32 million development-cost figure remain vendor-reported

Ricursive released Ripple-65B Preview on November 4 as a 65B dense, Apache-licensed model with downloadable BF16 and NVFP4 checkpoints. OpenRouter lists a 1M-context route at $0.20 input and $0.60 output per million tokens.

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Models7 min

Gradium’s Phonon TTS Runs On-Device in 31M and 40M Models, With One Commercially Permissive Variant

Hugging Face’s November 5 technical review puts new attention on a compact speech family first released October 20—but its licenses, access gates and automated leaderboard results differ by checkpoint

Gradium’s Phonon family offers 31M and 40M text-to-speech weights for local streaming across five languages. The English 31M checkpoint is Apache 2.0; the larger variants are non-commercial, and the new leaderboard claims still need workload-specific listening tests.

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