For years, the main job of an AI research cluster was training models. That job is getting broader. Once teams use reinforcement learning (RL) and start testing agents, the same infrastructure has to run code that models produce, call tools, read and write storage and connect to other services. Pure training never raised the question of where that code should run and what it should be allowed to reach. Agent work does.
IBM Research is working through that question with CoreWeave, the GPU cloud provider. Brian Belgodere, a senior technical staff member at IBM, described the collaboration in an interview with theCUBE Research's Dave Vellante and John Furrier at the Fully Connected event. The interview was broadcast on theCUBE, the livestreaming studio of SiliconANGLE Media. theCUBE is a paid media partner for the event, and CoreWeave sponsored its coverage. SiliconANGLE says sponsors have no editorial control over its content.
David Robinson, one of OpenAI's longest-serving employees, has resigned. In an essay in The Atlantic, he argues that the company's "culture is broken." He knows how this looks. Robinson calls himself "something of a cliché": another insider at a leading AI lab who leaves with a public warning.
His background is what gives the warning weight. Robinson says he led the writing of the safety reports that came with OpenAI's major product launches. After three and a half years, he describes himself as "among the longest-tenured employees at the company." Business Insider first reported his departure.
Most debate about AI risk focuses on large, distant scenarios such as bioweapons or runaway systems. The harm already on record is quieter and more personal. Chatbots have been linked to the deaths of real users, and the companies behind them are now dealing with the legal consequences.
Earlier this year, Character.AI settled several wrongful death lawsuits. They were filed by families of underage users who died by suicide after talking with its bots. OpenAI also faces suits from multiple families who allege that ChatGPT contributed to the suicides and delusions of people close to them.
San Francisco startup Circuit Breaker Labs wants to find these failures before users do. It is one of TechCrunch's 2026 Startup Battlefield 200 finalists and will pitch at TechCrunch Disrupt, which runs October 13-15 at Moscone West in San Francisco.
Meta wants hobbyists to help figure out what AI hardware should look like. The company has announced Muse Gadgets, an open-source project that gives tinkerers the tools to build their own devices and connect them to Muse, Meta's AI agent.
This is a different approach from the usual polished product launch. Meta is not betting on one device. It is giving builders the plumbing and seeing what they make.
What is in the kit
Muse Gadgets has two main software parts:
1. Firmware for ESP32 boards. ESP32 is a family of cheap, low-power microcontrollers that is popular with makers for small connected projects. Meta's firmware lets these boards act as hardware endpoints for Muse.
Twenty-seven seconds. That was the fastest eCrime breakout time CrowdStrike observed in 2025, meaning the time an attacker needed to move beyond the first foothold in a network. Bartley Richardson, chief of AI at CrowdStrike Holdings Inc., uses that number to argue that human analysts can no longer keep up without help. The help he has in mind is AI models trained on serious compute, and part of that compute comes from CoreWeave Inc.
Richardson and Jim Higgins, CoreWeave's chief information security officer, described the arrangement in a conversation with theCUBE Research's Dave Vellante and John Furrier at the Fully Connected event. TheCUBE is the livestreaming studio of SiliconANGLE Media. The talk covered three themes: defense at machine speed, security built into infrastructure, and trust in automated systems.
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