‘AI-pilled’ firms spend $7,500 per employee each month on AI
The most AI-obsessed firms are spending roughly $7,500 monthly per employee on AI, per Ramp AI Index. That’s not more than an engineer’s salary — yet.
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Cheap Iranian drone downed $25 million US Army helicopter—maybe by chance
A US Army helicopter gunship was apparently struck by an Iranian Shahed drone before going down near the Strait of Hormuz—but it’s unclear whether the one-way attack drone was deliberately aimed or achieved more of a lucky accidental strike. Axios correspondent Barak Ravid first reported an unnamed US government official’s comments that an Iranian drone had hit the US Army AH-64 Apache helicopter before the latter went down on June 8. The New York Times later confirmed that […]
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As the nation asks the conglomerates to adopt artificial intelligence to boost productivity, Chinese firms practice slow layoffs to balance efficiency with political regulations. Rather than massive layoffs, employers are reducing contractor roles and relying on slow hiring to be in the government’s good books. Interviews with employees across technology, advertising, and entertainment niches show that a surge in artificial intelligence adoption is already being practiced. Companies are trying to avoid attention that could threaten their reputation or […]
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How memory tools can make AI models worse
New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.
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Korrel: turn one agent eval into a verifiers or OpenEnv RL environment, with a fidelity proof against tau2-bench
https://github.com/korrel-dev/korrel submitted by /u/IssaLikesCheese [link] [comments]
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Cybersecurity researchers aren’t happy about the guardrails on Anthropic’s Fable
Cybersecurity researchers are complaining that Anthropic’s new model Fable has guardrails that are too strict for any cybersecurity work.
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Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations
As frontier AI models grow in scale and complexity, developers face a common challenge across every hardware platform: how do you extract the maximum performance and efficiency from the silicon their models run on. Whether delivering real-time experiences for world models, supporting deeper reasoning in agentic workflows, or reducing inference costs at scale, the gap between what hardware can theoretically deliver and what most teams achieve remains significant. Custom kernel development has historically been the path to closing […]
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Quoting Jeremy Howard
Easy solution to slow down recursive AI self improvement: The lab with the top-ranked model must agree THEY must not use it for working on frontier AI But everyone else should have access to it. By definition, this means the frontier doesn’t advance. It also has the critical benefit of avoiding a dangerous power imbalance. Anthropic has chosen the opposite of the safe path: they are allowing themselves, the current top lab, to use their top model for […]
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Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore
Managing equipment repairs for heavy farm machinery often requires technicians to diagnose issues without the right parts, leading to multiple site visits, extended downtime, and substantial financial losses, especially during harvest season. In this post, you build an AI-powered equipment repair assistant using Amazon Bedrock AgentCore that helps farmers and field technicians diagnose equipment problems, identify required parts, and access manufacturer-approved repair procedures through natural language. The solution uses AgentCore Runtime with the Strands Agents SDK, Amazon Nova […]
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