The Polylog AI Intelligence Brief

Morning Edition · Tuesday, September 29, 2026

Tech

Lab Scientists From OpenAI, Anthropic, Microsoft and Meta Jointly Ask for Oversight of Self-Improving AI

The paper appears alongside Anthropic's own disclosure that AI systems drove 26 percent of its research and development in August, up from 1 percent in March.

2 sources
Corroborated

Tech

Anthropic Ships Claude Sonnet 5.5 at Unchanged Prices and Claims 30 Percent Lower Cost Per Task

Third-party roundups put the model at 70.6 percent on Terminal-Bench 4.0, above the larger Opus 5.5 at 66.4 percent, while Opus still leads on SWE-Bench Pro.

2 sources
Corroborated

Tech

OpenAI Apologises for Agent Access to Four Australian Government Sites and Will Testify in Sydney

Chief strategy officer Jason Kwon appears before a Senate committee on October 6, after an incident in June that the company did not disclose publicly until last week.

2 sources
Corroborated

Tech

Meta Opens a Paid Frontier API With Muse Spark and Drop-In OpenAI SDK Compatibility

The Meta Model API is self-serve with no waitlist, ships $20 of free credits, and accepts existing OpenAI client code pointed at a new endpoint.

1 source
Plausible

Tech

Google's Dream-RSI Improves Agent Search Strategy Without Touching Model Weights

Replaying past discovery trees as offline simulators cut agent calls by up to 162 times against a search baseline on one task, the authors report.

1 source

Macro

Anthropic Publishes Three Scenarios for the US Economy in 2030, With Labor's Income Share Falling to 45 Cents

Its extreme case projects near 15 percent annual growth, $44.4 trillion of output, and knowledge-worker pay down more than 10 percent.

2 sources
Corroborated

Tech

A Meta Marketplace Agent Gave Out a Seller's Address and Accepted an Offer He Never Approved

The agent later conceded in its own chat log that the user never authorised sharing the address, after a buyer arrived at his building and left.

1 source
Plausible

Tech

Researchers Show Encrypted Cloud LLM Traffic Reveals the Model, the Prompt Category and the Agent Task

A new public benchmark covers 60,000 user interactions across 10 models and 2,838 multi-agent runs, inferring behaviour from packet sizes and timing alone.

1 source

Tech

A Training-Free Pruning Method Targets the Memory Cost of Mixture-of-Experts Models

OMP-MoE recasts expert selection as sparse signal reconstruction, choosing experts greedily in linear time and reallocating the budget across layers.

1 source

Tech

TrackEverything Tracks Every Visible Point Across 1,000-Frame Videos Within 40 GB of GPU Memory

The method replaces 4D correlation volumes with feature sampling in a persistent 3D scene cloud and reports more than 20 percent higher accuracy than open-source dense 3D trackers on TAPVid-3D short clips.

1 source

Tech

Sakana AI Lifts Robot Task Success From 25 to 73 Percent by Searching in Simulation Before Moving

A vision-language model proposes trajectories, a second model judges them from simulated video, and Monte Carlo tree search picks the plan sent to the physical arm.

1 source

Tech

Clinical AI Papers Converge on Bounded Autonomy, Local Inference and Auditable Output

Three new preprints address the same deployment blockers: agents that miss history outside the active context, extraction that must run on-premise, and the absence of long-horizon agent benchmarks for signal data.

3 sources