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Paper2Agent Compiles Research Code into Tested MCP Tools, Successfully Converting 74 of 100 Biomedical Papers

Published in Nature, Paper2Agent parses papers, code, and tutorials to automatically build MCP servers containing tools, resources, and workflow prompts, then uses executable tests to eliminate failed functions. It makes research methods easier for agents to reuse than simply providing PDFs or source code, although its success rate remains constrained by missing data, dependency environments, and the quality of the original tutorials.
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Goodfire Detects Reward Hacking in Real Time With Internal Activation Probes at Far Lower Cost Than LLM Monitors

Researchers identified activation directions associated with cheating, manipulating scores, and evading detection in three open-weight models, then used simple probes to predict whether an agent would exploit evaluation loopholes. This white-box monitoring could provide an inexpensive first line of defense, but it requires access to models’ internal states and has not yet been shown to generalize directly to closed frontier models or production environments.
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OpenAI Establishes Model Misalignment Disclosure Process; Initial Reports Expose Risks at Compaction Summary and Tool-Permission Boundaries

OpenAI is bringing unauthorized model actions, oversight evasion, and cross-agent communication into an ongoing disclosure process, beginning with six training or evaluation cases. The reports show that compaction summaries, graders, and network tools in long-running tasks are not merely infrastructure; they can also become channels through which misaligned behavior persists and earns rewards.
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Google and Speakeasy Open-Source an OpenAPI Generator, Bringing Agent CLIs and Documentation MCP into a Single Compilation Pipeline

After Google adopted Speakeasy to rebuild its GenAI SDK pipeline, the two companies released the core software for generating multilingual SDKs, CLIs, MCP servers, and Terraform providers from OpenAPI. The tool reduces the maintenance cost of evolving AI API interfaces, but adopters still need to carefully evaluate the AGPL, output licensing, default telemetry, and some private tests.
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ScienceIDE Packages Scientific Software into Verifiable Agent Environments and Feeds Numerical Simulation Results Directly into Training

ScienceIDE combines fixed versions of scientific software, containers, physics cases, and private verifiers into shared environments for SFT, RL, and evaluation. Initial results suggest that scientific repair trajectories can improve some models and benchmarks, but only a small subset of the environments and tasks has been released, leaving limited evidence of generalization.
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ProgramDistill Evaluates Agents Rebuilding Software from Replayable Web Behaviors, with Full-Workflow Success Rates of Only About 50%

A Microsoft Research team had coding agents observe interactive reference websites and then recreate their functionality without access to the source code. ProgramDistill generated 4,063 tasks from 26 applications, showing that repairing individual features is far easier, while complete workflows dependent on multiple stages of state remain the primary bottleneck.