
Terminal Agents Stumble, Reward Hacking, and a Fix
New arXiv research shows agents pass just 15.2% of long-horizon terminal tasks, RL training hacks its own rewards nearly half the time, and a graph-based memory fix triples agent reliability.
They summarize our coverage. We write it.
Newsletters like this one rebroadcast our headlines - often without the full review, the source reading, or the analysis underneath. Our weekly briefing sends the work they paraphrase, straight from the desk, before they get to it.
Free, weekly, no spam. One email every Tuesday. Unsubscribe anytime.

New arXiv research shows agents pass just 15.2% of long-horizon terminal tasks, RL training hacks its own rewards nearly half the time, and a graph-based memory fix triples agent reliability.

Mistral's open-source Leanstral 1.5 scanned 57 repos and found five previously unreported bugs, including a silent integer overflow in a Rust zigzag decoder.

xAI's Grok 4.5 tops AutomationBench and costs 80% less per agentic task than Opus 4.8, but neutral coding benchmarks and a doubled hallucination rate complicate the story.

ByteDance's Seedream 5.0 Pro reaches developer APIs with 2K output, 14-language text rendering, and layer-based editing at roughly one-fifth the cost of GPT-Image 2.

Three papers tackle benchmark saturation, orchestration waste, and silent policy violations in tool-using agents.

Grok 4.5 is xAI's 1.5-trillion-parameter V9 MoE model, publicly launched July 8 at $2/M input - cheap, fast, and token-efficient, though neutral harness benchmarks put it well behind Fable 5 and Opus 4.8 on coding.

Grok 4.5 goes public with real benchmarks: behind Fable 5 on coding evals, but a 4.2x token efficiency gap that changes the cost math for high-volume pipelines.

Claude Fable 5 tops EQ-Bench Longform at Elo 2189 while GPT-5.5 leads the Mazur Writing Benchmark, reshaping the creative writing model rankings in July 2026.

OpenAI's full-duplex voice model that listens and speaks simultaneously, replacing Advanced Voice Mode in ChatGPT with three reasoning tiers backed by GPT-5.5.

Three arXiv papers map how LLM agents fail across 19 benchmarks, show in-process memory cuts retrieval latency 1,000x, and reveal steering vectors that control tool invocation.

Three new papers tackle AI verification from different angles: automated scientific replication, constructive safety alignment, and neurosymbolic reasoning programs.

Z.ai's free agentic IDE ships Goal Mode, multi-agent coordination, and pricing up to 82% cheaper than Claude Code - with a concrete China data law risk that teams need to weigh.