Platform and Model Design for Responsible AI — Design and build resilient, private, fair, and transparent machine learning models: http://
amzn.to/3PToSvP
SAFETY
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Platform and Model Design for Responsible AI book
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Perplexity AI addresses lawyers’ fear of hallucinated legal citations
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Lawyers' biggest AI fear? Citing a case that doesn't exist.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 25 juin 2026
Two years of peers getting sanctioned for AI-hallucinated citations made "just trust the model" a non-starter in legal. @perplexity_ai just shipped something built around that exact fear. 🧵 pic.twitter.com/RpEcMQi1ySLawyers' biggest AI fear? Citing a case that doesn't exist. Two years of peers getting sanctioned for AI-hallucinated citations made "just trust the model" a non-starter in legal. @perplexity_ai just shipped something built around that exact fear.
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Superintelligence book promotion and AI bestsellers on Amazon
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“Superintelligence — Paths, Dangers, Strategies” (top selling AI book on Amazon): http://
amzn.to/4uLIsdK See more Artificial Intelligence bestsellers for reading, learning, growing your knowledge, and advancing your career: http://
amzn.to/2YRE6Sj -
LLM grounded answers may be corrupted by paid ads
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And so it begins…or ends If this is true, it would completely change how we use LLMs. Not only they will still be able to hallucinate, but now even if they are "grounded" in data, sources, references, we won't be able to know if it came from a paid ad or is the true answer.
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Workshop: Create Reliable GenAI Applications with Evaluations, Observability, and Testing
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Workshop hosted by @PacktPublishing @PacktDataML — "Build Reliable GenAI Applications with AI Evals, Observability, and Testing" Register here with my discount code 'KIRK40' (40% OFF already applied):
https://eventbrite.co.uk/e/build-reliable-genai-applications-with-ai-evals-observability-testing-tickets-1987301251540?aff=KirkB&discount=KIRK40 Learn:
How production AI -
New release: A Practical Guide to RLHF from Packt
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New release from @PacktDataML 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 -
Scoped agent access to stack felt surprisingly clean
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gave an agent access to my actual stack today
— Nico (@nicos_ai) 24 juin 2026
no scary “it can see everything” moment. scoped permissions, every action logged
felt illegal how clean it was https://t.co/xeAVrovr1D pic.twitter.com/NyPzYIQWf3gave an agent access to my actual stack today no scary “it can see everything” moment. scoped permissions, every action logged felt illegal how clean it was
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Beginning of a major architectural change in AI development
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Delighted to collaborate with @OpenRouter Products like OpenRouter Fusion and Sakana Fugu have sparked a serious conversation about dependency and resilience in AI. I believe this is only the beginning of a major architectural change to come in the development of
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AI coding: 84% usage, 24% trust, calibration crucial
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84% of developers use AI to code. 24% trust what it writes. Compliance has moved to the govtech center. Innovation stalls before guardrails land on reeal evidence. Read @DominoDataLab
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iFixAi: free plugin to audit your AI with Claude
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AHORA PUEDES PONER A CLAUDE A AUDITAR TU AGENTE DE IA
— Nico (@nicos_ai) 24 juin 2026
Acaban de sacar un plugin gratis que pone a Claude a encontrar los fallos y puntos ciegos de tu IA antes de que la cosa explote
Se llama iFixAi.
Abres el repo en Claude Code y le dices “audita mi IA”
A partir de ahí Claude… pic.twitter.com/vwFz0DRNxqNOW, YOU CAN HAVE CLAUDE AUDIT YOUR AI AGENT They just released a free plugin that has Claude find the flaws and blind spots of your AI before it blows up It's called iFixAi. You open the repo in Claude Code and tell it "audit