
Tool Blindness, Tree Search, and the Road to ASI
Three new papers expose a 50-point gap in agent tool knowledge, show tree search tripling inference throughput, and map the research between AGI and superintelligence.
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Three new papers expose a 50-point gap in agent tool knowledge, show tree search tripling inference throughput, and map the research between AGI and superintelligence.

A new impossibility theorem proves feedback-based training can't guarantee honest AI, while two papers cut agent memory costs 78% and multi-agent latency 7x.

Three new arXiv papers expose how context bloat tanks agent performance, agent memory bleeds private data, and misaligned behavior spreads through multi-agent systems.

New research reveals MCP error messages triple agent attack success rates, ranks eight models on sycophancy with Claude scoring best, and finds self-evolving agents make 30-42% false edits.

Anthropic's Claude Opus 4.8 scores 69.2% on SWE-bench Pro and ships hundreds of parallel subagents in Claude Code, with pricing unchanged at $5 per million input tokens.

Three papers: strategic attack timing exposes gaps in AI control evaluations, Perplexity's agents slash task time by 87%, and Lean4 formal proofs make agent workflows more reliable.

OpenAI's new Lockdown Mode cuts the network exits that prompt injection attacks use to steal data from ChatGPT - but won't stop malicious instructions from entering the model in the first place.

NVIDIA's 550B Nemotron 3 Ultra, released June 4, tops the US open-weight leaderboard with a hybrid Mamba-Transformer MoE architecture and 300-plus tokens per second throughput.

Three new arXiv papers expose how developers miss AI sabotage 94% of the time, why LLMs converge structurally in code evolution, and how ZK proofs could verify frontier AI training.

NVIDIA's Agent Toolkit lands 110+ verified skills on GitHub covering robotics, autonomous vehicles, vision AI, and industrial systems - turning complex physical AI pipelines into single agent calls.

Three new papers show that AI agents fail not by doing the wrong thing, but by doing things when they should have stopped.

A benchmark-driven comparison of Claude Code, Kiro, Devin, OpenAI Codex, Windsurf, and OpenHands - the six coding agents worth using in 2026.