All issues, grouped by month.

Anthropic has aggressively redefined the agent landscape with the release of Opus 4.5, which now dominates benchmarks like SWE-Bench with an 87% success rate using sub-agents. Beyond raw performance, the model introduces a 3x cost reduction and persistent memory features, making long-horizon, autonomous engineering workflows commercially viable for the first time. Parallel to this, DeepSeek-Math-V2 is proving that architectural innovation rivals scale. By utilizing a generator-verifier loop and reinforcement learning, it achieved the first open-source Gold on the IMO, showcasing a reasoning pattern that is likely to become standard for reliable agentic thought processes. However, as capabilities scale, so do the attack vectors. Security expert Simon Willison issued a critical clarification this week distinguishing prompt injection from jailbreaking, noting that tool-using agents (such as those on MCP servers) face unique risks of data exfiltration that current guardrails cannot reliably stop. The industry is moving fast: agents are becoming smarter and cheaper, but the security layer remains dangerously thin.

This week, agentic capabilities took a leap forward in both proprietary and open ecosystems. Claude Opus 4.5 has redefined the ceiling for coding agents, hitting a record 80.9% on SWE-Bench Verified and dominating complex reasoning tasks with a 91.5% score on agentic evals. In parallel, DeepSeekMath-V2 proved that open-source models can rival giants, using a novel generator-verifier loop to achieve IMO Gold Medal status—demonstrating that self-verification is key to reliable reasoning. The application layer is expanding too: Flux is bringing agentic workflows to hardware design, automating schematics and component sourcing in a browser-based CAD tool dubbed the 'Devin for Hardware.' Driving these breakthroughs is a shift in training philosophy, with engineers increasingly betting on Reinforcement Learning (RL) pipelines over simple fine-tuning to handle the complex, multi-step planning required for autonomous agents.