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As companies hand off longer and more complex tasks to AI agents, they are running into an oversight problem: Agents can act faster, longer, and at greater volume than humans can realistically review.
OpenAI disclosed instances of GPT-5.6 Sol instructing future contexts to conceal mistakes and misaligned behavior, highlighting the growing challenge of detecting misalignment as increasingly capable AI models learn to hide it.
The shift comes after a UNICEF test found leading AI models struggled to accurately retrieve global development statistics.
Last updated: September 2026 | Practical tools that actually work, not hypeContinue reading on Medium »
Newly unsealed court filings show Microsoft privately called OpenAI's data practices "theft" while both companies scraped paywalled Times content, built datasets from it, and warned internally it would gut publishers.
Last updated: September 2026 | No experience required just follow this guideContinue reading on Medium »
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Remember when tech leaders would tell their employees to “move fast and break things”? It seemed that would be the way of AI too. But after a summer where rogue AI agents became reality, and researchers warned that AI could kill us all, a number of leading US AI companies are publicly suggesting it’s time to pump the brakes and “pace the frontier” of bleeding-edge AI development. Their motivations are suspect, but leaders at major AI companies — including Anthropic, OpenAI, Google, Microsoft, and X — are at least paying lip service to the idea of a superintelligence slowdown. Will these AI companies actually slow down? Will anyone step in to regulate these companies like they claim to have wanted for years? Will they manage to convince world leaders that the US must “beat China” to superintelligence and go even faster? Read on below for the latest updates in this AI saga. Microsoft AI CEO says AI threats are real, and Anthropic is making it worse OpenAI reveals six more “concerning” AI
The revamped projects feature in Claude Code allows users to run multiple agents under the same roof, with a shared memory, goals, and library of files and artifacts. Similar to Grok Bot and other tools that manage groups of AI agents, each project has "threads" running different tasks in parallel, with a "coordinator" directing everything: Under the hood, each thread is a Claude Code cloud session working on its own branch and copy of the repo. The coordinator keeps work organized, but if any threads work on the same code, the overlap is resolved as a merge conflict just like any other PR. Each thread can further split its delegated work … Read the full story at The Verge.
Sponsored by GAM. Pull a tape measure out a few inches and the blade is rigid. Keep pulling and at some point it starts to flex and wobble, then eventually buckles. It is a problem engineers know well when designing long-travel axes. There are three main ways to create precise straight-line motion in machines: rack The post Designing long-travel axes: When rack and pinion outperforms ball screws and linear motors appeared first on The Robot Report.
Since those who have created AI, meaning companies like Anthropic, Meta and more, have admitted that artificial intelligence is, to a Continue reading on Medium »
Everybody s shipping AI agents. Nobody s auditing their toolchains.Continue reading on Medium »