New release from @PacktDataML available at https://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning
SAFETY
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Practical Guide to Reinforcement Learning from Human Feedback
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AI Amplifies Flawed Data Into Scalable Inaccuracy
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This may be the most honest picture of generative AI. When AI is trained on flawed data, it does not just inherit the problem. It becomes a very efficient amplifier of it. That is the part too many people still underestimate. → bad data in
→ scalable inaccuracy out To me, -
Why Faster AI Isn’t Always Better for Performance
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Why faster #AI isn't always better
by NYU Tandon School of Engineering @TechXplore_com Learn more: https://
bit.ly/4e3mxbX #ArtificialIntelligence #MachineLearning #ML -
Autonomous vehicles safer than human drivers: statistics
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It is way safer than humans. Who kill 40,000 every year in cars. Sigh
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92% of Leaders Say AI Agents Need Guardrails But Few Defined
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92% of leaders agree AI agents need guardrails, but less than half have defined them. Time to move from experimentation to orchestrated, safe execution. Details here: https://
ap.pn/3WfK9Lz @Appian @HarvardBiz #AppianWorld -
Cold Agent Routing Failures in Shared Host Networks
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Pay attention to this one, AI devs, especially if you're thinking about agentic commerce or any agent network where many agents share hosts. A correct route to a cold agent is still a failed request from the user's perspective. That's the whole game. This new paper studies
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AI Agentic Coding Capabilities Deemed Too Dangerous for Public Release
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depends on the framing. do i believe that mythos had strong enough agentic coding capabilities that a non-technical user could get past the average level of security across common sites and apps? yeah. is that too dangerous to release for general consumption? actually, probably
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AI-Powered Future: Protecting Personal Data Online
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#AI-Powered Future: Why Protecting Personal #Data Online Matters More Than Ever
— Ronald van Loon (@Ronald_vanLoon) 28 avril 2026
by @SecurityTrybe
#CyberSecurity #InfoSec #IT #Tech #Technology pic.twitter.com/ZvCjZmvVoW#AI-Powered Future: Why Protecting Personal #Data Online Matters More Than Ever
by @SecurityTrybe #CyberSecurity #InfoSec #IT #Tech #Technology