
With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.
An AI research startup runs thousands of autonomous agents simultaneously on investigations lasting over a day by using advanced language models to guide their work and specialized tools to keep them focused and efficient. The agents improve themselves by identifying weaknesses through repeated use and generating synthetic scenarios to address those problems. This matters because the company demonstrates how AI agents can sustain complex research over extended periods while managing computational resources, with applications ranging from quantitative finance to supply chain optimization and code analysis.
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See how Amp pushes the frontier of what agents can do with GPT-6 Astra, Ultrafast, GPT-Live-1, and Sign in with ChatGPT.
Observability and information technology management software company SolarWinds Worldwide LLC today unveiled Avior, a standalone agentic artificial intelligence system built to take on first-line operations work for enterprise IT teams. The launch goes after the reliability problem that comes with letting AI agents act on production systems. SolarWinds argues that an agent producing different outcomes […] The post SolarWinds’ Avior pairs AI agents with deterministic execution for ent
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.

Epic Games is shifting to an "AI first" development strategy for its collaboration with the Walt Disney Company, letting AI models write all the code and guide all the artwork for an upcoming shooter. That's according to a Bloomberg report, which cites unnamed people familiar with the project who commented on the significant pivot in internal development at the Unreal Engine maker. Human developers will be tasked with managing and guiding code and art assets generated by models such as Anthropic
Also reported by The Verge

The problem with giving everyone in a company access to AI tools is that people will use them in unexpected ways. And that fact is steadily seeding fears that companies now have new, gaping security holes in their systems or, at least, will soon.