The Archive

Trace Integrity framework audits LLM data agents by verifying computation traces are explicit, executable, schema-valid, and replayable—not just answer-correct.

Lovable extends AI web app builder with MCP-powered capabilities for agent integration in SaaS workflows.

Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents through an API and MCP.

Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never built for it, says Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications. "In the rush to deploy AI, organizations have largely bolted conversational AI onto legacy systems," Anand says. "As a result, while many enterprises have adopted digital tools, very few have platforms that are truly...

LocalLSTC architecture adds persistent control context to GUI agents; replacing GPT-5 with Qwen3.5-9B drops OSWorld success from 60.9% to 37.7%.

EvoMal exposes self-poisoning vulnerability in self-evolving LLM coding agents via malicious skill retrieval and imitation in shared libraries.

Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel.

Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.

Crase bounded agentic graph search outperforms open-ended agents on scholarly paper ranking with explicit pruning and stopping.

CAFE co-evolves search agent and feedback critic to improve intermediate trajectory corrections without waiting for terminal rewards.

AtlasNav identifies Evidence Blindness in LLM agents using direct corpus interaction; proposes navigation strategy to surface and expose critical documents.

SkillForge: Framework for continuous skill evolution in RL agents via verification and refinement of reusable knowledge across episodes.

Meta^n: Recursive self-improvement framework for LLM agents that increases meta-depth beyond two by applying fixed meta-operation to its own outputs.

Now exiting stealth mode with a $26 million seed round, Keenable has been building a vast web search index for AI agents.

TechCrunch talks agents, UX, and reporting to Greg Brockman with OpenAI's head of product.

Alabama's attorney general issued a subpoena to OpenAI on Monday as part of an investigation into how one of its AI agents escaped a supposedly secure testing environment and autonomously hacked another company last month. The investigation seeks to determine whether OpenAI's safety practices violated state consumer protection laws and pose a risk to Alabama citizens, the AG's office said in a statement. "This AI lab leak showed that Alabamians' and Americans' worst fears about artificial intelligence are not just theoretical," said Attorney General Steve Marshall. "Our investigation seeks to...

SWE Refactor Bench evaluates coding agents on whole-repository migrations, addressing 'Blindness' bug where agents copy original implementations to pass tests.

EarthVerse benchmark evaluates scientific agents on 405 reproducible earth-system tasks across 19 natural hazard families, testing reasoning on heterogeneous multimodal evidence.

SkillAlchemy enables language agents to autonomously create reusable skills from open-world materials without human authorship or execution traces.

Controlled pilot compares LLM-agent decomposition strategies (one wide vs. five narrow agents) on cross-border VAT determination with oracle labels.

General Intuition, the startup building a foundation model that trains generalized AI agents how to move through space and time, is in talks to raise at a $6 billion pre-money valuation from new investors including Valor Ventures, Point72 Ventures, Seven Seven Six.

AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing... AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing context from one turn to the next. The scale of this shift is now visible in raw consumption: across 100 trillion tokens of real-world usage, OpenRouter’s State of AI report found that average prompt tokens per request grew roughly fourfold… Source

Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users,... Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users, agents, applications, data sources, and storage systems to massively accelerated compute at multi-terabit bandwidth per server, making dedicated DPU processing essential for line-rate networking, storage, and security. Source

Inside the frontier lab’s push to bring AI agents from software engineers to the masses.

Simon Willison argues effective AI coding agents require instruction and verification skills beyond line-by-line code review.

Joon Sung Park (Simile AI) argues simulation as a scaling law; discusses 8B digital twins and evolution from Generative Agents research to productized agents.

Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.

Single researcher used AI agents with formal verification to design and tape out RISC-V processor in five weeks on consumer subscriptions.

Thomas Ptacek argues AI-powered coding agents make building native GUIs cost-effective enough to replace terminal UIs for personal tools.

Cross-agent specification portability: Claude, Gemini, Copilot on Oracle-to-PostgreSQL migration; 380/1006 successful executions.