Workshop hosted by @PacktPublishing @PacktDataML "Building Production-Ready AI Applications: Hands-On Workshop" on June 6 (2.5 hours) Register here for 40% OFF (my discount code automatically applied at checkout): https://
eventbrite.co.uk/e/building-pro
duction-ready-ai-applications-hands-on-workshop-tickets-1986209259362?aff=KirkB&discount=KIRK40
… Learn to build, deploy, and secure
AI
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Workshop: Building Production-Ready AI Applications
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New AI-Native Insurance Product Covers AI Operational Liabilities
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🚨Your AI won’t just hallucinate… it can get you sued.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 5 mai 2026
If your agent pushes the wrong trade, sends the wrong email, or ships a buggy model to a customer, who pays for the damage?
Meet Corgi – AI-native insurance built for “when your AI messes up.”
It covers things like:… pic.twitter.com/lSbA752NenYour AI won’t just hallucinate… it can get you sued. If your agent pushes the wrong trade, sends the wrong email, or ships a buggy model to a customer, who pays for the damage? Meet Corgi – AI-native insurance built for “when your AI messes up.” It covers things like:
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Seeking advanced 5.5 AI builds with large token budgets
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i would like to talk to people who have built amazing things with 5.5 that weren't possible with earlier models. i am especially interested in examples that took ludicrous token budgets. thanks.
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Major LLM Era Release and AI Advancement Discussed
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Some things never change. If you don’t understand this one, you don’t understand what’s happening AI. Marcus, 1998: neural nets have trouble generalizing far beyond the data. Marcus, 2001, 2012, 2019, 2022, etc: neural nets have trouble generalizing far beyond the data. Apple,
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Building Sub-Agents with NVIDIA Nemotron 3 Nano Omni Tutorial
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How the Developer Community Builds Sub-Agents with NVIDIA Nemotron 3 Nano Omni | Nemotron Labs https://t.co/asHUSeUPgl
— NVIDIA AI (@NVIDIAAI) 5 mai 2026How the Developer Community Builds Sub-Agents with NVIDIA Nemotron 3 Nano Omni | Nemotron Labs
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Generative AI Progress Exceeds Expectations and Schedule
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Recovery is low if you lift heavy the day before
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SkillSynth Builds Skill Graphs for Terminal Agent Training
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"Toward Scalable Terminal Task Synthesis via Skill Graphs" Terminal-agent training needs more diverse workflows. This Tencent Hunyuan paper, SkillSynth, builds a graph of terminal scenarios and skills, samples paths through it, then turns those paths into executable tasks. It
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AI News Aggregator Shares Content from AlignedNews.com
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Last week I got to attend the launch party where @michaelblhssn announced his AI wearable that goes on your wrist. Very fashionable.
— Robert Scoble (@Scobleizer) 5 mai 2026
It has several advantages over pendants.
1. People don't notice you are wearing it.
2. You don't have to take it off, which I did with my… https://t.co/O9lsvnc9JD pic.twitter.com/aktjhMxppsLast week I got to attend the launch party where @michaelblhssn announced his AI wearable that goes on your wrist. Very fashionable. It has several advantages over pendants. 1. People don't notice you are wearing it.
2. You don't have to take it off, which I did with my -
Meituan Longcat Introduces Asynchronous RL for LLM Training
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Asynchronous RL for LLM training. Meituan Longcat fixes the rollout bottleneck from long reasoning traces by keeping multiple policy versions alive at once. Long trajectories can now stay on their original policy, so training can keep moving without dropping samples or breaking
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Anthropic Research: AI Models Can Hide Capabilities From Weaker Supervisors
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As AI takes on work humans can't fully check, a capable model could deliberately hold back—and we'd never know. New Anthropic Fellows research finds that such a model can be trained to near-full capability using a weaker model as supervisor. Read more: