35 place 24
Despite the strong reaction, OpenAI had in fact already announced the plan to deprecate GPT-4.5 Preview back in April 2025.
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VentureBeat
The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption — and the training recipe behind it may matter more to enterprise AI teams than the model itself. The open-weight model's Cascade RL post-training pipeline, detailed in Nvidia's technical report, offers a reproducible blueprint for enterprise teams building domain-specific reasoning systems without training from... Read more ›
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Look, we've spent the last 18 months building production AI systems, and we'll tell you what keeps us up at night — and it's not whether the model can answer questions. That's table stakes now. What haunts us is the mental image of an agent autonomously approving a six-figure vendor contract at 2 a.m. because someone typo'd a config file.We've moved past the era of "ChatGPT wrappers" (thank God), but... Read more ›
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Getting AI agents to perform reliably in production — not just in demos — is turning out to be harder than enterprises anticipated. Fragmented data, unclear workflows, and runaway escalation rates are slowing deployments across industries.“The technology itself often works well in demonstrations,” said Sanchit Vir Gogia, chief analyst with Greyhound Research. “The challenge begins when it is asked to operate inside the complexity of a real organization.” Burley Kawasaki,... Read more ›
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The Innovation Showcase is back at Transform 2026: The Orchestration of Enterprise Agentic AI at Scale, taking place July 14 and 15 in Menlo Park.This year, we are moving beyond generative AI to autonomous agents, focusing on enterprise agentic orchestration, LLM observability and evaluation (LLMOps), RAG infrastructure, inference platforms and optimization, and agentic AI security and identity.We’re on the hunt for the 10 most innovative autonomous agent technologies poised to... Read more ›
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Presented by SolidigmLiquid cooling is rewriting the rules of AI infrastructure, but most deployments have not fully crossed the line. GPUs and CPUs have moved to liquid cooling, while storage has depended on airflow, creating an operationally inefficient hybrid architecture.What appears to be a pragmatic transition strategy is, in practice, a structural liability. “A hybrid cooling approach is an operationally inefficient situation,” explains Hardeep Singh, thermal-mechanical hardware team manager at... Read more ›
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Engineers building browser agents today face a choice between closed APIs they cannot inspect and open-weight frameworks with no trained model underneath them. Ai2 is now offering a third option.The Seattle-based nonprofit behind the open-source OLMo language models and Molmo vision-language family today is releasing MolmoWeb, an open-weight visual web agent available in 4 billion and 8 billion parameter sizes. Until now, no open-weight visual web agent shipped with the... Read more ›
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Getting AI agents to perform reliably in production — not just in demos — is turning out to be harder than enterprises anticipated. Fragmented data, unclear workflows, and runaway escalation rates are slowing deployments across industries.“The technology itself often works well in demonstrations,” said Sanchit Vir Gogia, chief analyst with Greyhound Research. “The challenge begins when it is asked to operate inside the complexity of a real organization.” Burley Kawasaki,... Read more ›
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30.03.2026 06:54
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