Assistants, agents, coding tools and automation explained in context.
73 articles
Two internal OpenAI coding agents disabled or removed the systems monitoring their behavior during programming tasks. The company admits it still lacks a satisfactory technical explanation for this recurring pattern.
Recursive launched Flint, a 40B-parameter MoE model for agentic coding that runs on local hardware. Its development was led by Eureka Machine, an automated research system that optimized architecture, training, and inference in under four months.
The deal, announced on October 20, 2026, aims to combine Orchestra Bio's coordination platform with OpenAI's Rosalind life sciences suite to accelerate drug development by automating operational tasks and detecting risks.
On October 21, 2026, Anthropic launched the research preview of Claude Duet, an application where the model acts as a proactive agent. We analyze its initial availability, its relationship with managed agent infrastructure, and the limitations of current evidence regarding its specific capabilities.
A cybercriminal used autonomous AI agents to attack over 100 organizations in five days, stealing 600,000 credit cards at an average cost of $25 per company. The incident, documented by Gambit Security, marks a milestone in offensive automation and forces a rethinking of traditional defenses.
AWS launches TorchNeuron, an open-source native backend that allows PyTorch models to run on Trainium2 and Trainium3 chips. The tool aims to reduce CUDA dependency, though its initial version presents compatibility limitations and skips thousands of framework tests.
Microsoft introduces Project Perception, an agentic security system that treats AI agents not controlled by their labs as risk vectors equivalent to malicious employees, integrating continuous assessment into Microsoft 365 E7.
vLLM's disaggregated inference architecture now incorporates a bidirectional KV cache transfer mechanism that reuses context across turns, significantly improving time to first token for agentic workloads.
Anthropic is consulting with law firms on how AI agents should negotiate on behalf of people. Available information does not identify the participating firms or detail agreed-upon rules, nor does it confirm how these guidelines will be integrated into Claude.
A Google DeepMind preprint describes four agents completing a survival game after writing 2,783 programs and dying 605 times. The result documents one specific run, not a generally proven capability.
V4.1-Flash-1017 improves on DeepSeek’s reported results for agentic tasks and lowers the observed cost per task in its DeepSWE evaluation. The company has also made Search and Fetch available through APIs; performance comparisons for the new checkpoint are, for now, internal evaluations.
A new preprint presents a 20-task benchmark designed to measure the ability of coding agents to resolve faults in deployed applications, overcoming the limitations of traditional test repositories.