For years I have been saying that LLMs are not reliable enough to be sound. That simple claim — which has never been refuted — is suddenly at the center of the universe. What Trump asks cannot be done. NO current system can completely resist circumvention. Either we curtail
ETHICS
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Trusting vibes of trusted people over model propaganda
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The only thing that I trust these days when it comes to *really* trusting how good models are is a sample of vibes/opinions of a handful of trusted people on this site. Everything else is pure propaganda.
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Should You Be Polite to AI Chatbots?
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Should You Really Say Please And Thank You To AI? Millions of people now say please and thank you to #AI #chatbots, but does #politeness actually improve the answers or simply waste time and energy? As AI becomes more human-like, the bigger question may be how our
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Use AI as a support tool, not as a substitute for thought
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La clave no es evitar la IA, sino usarla como una herramienta de apoyo y no como un sustituto del pensamiento pic.twitter.com/NAXaLvn7Eb
— Juan Merodio (@juanmerodio) 17 juin 2026The key is not to avoid AI, but to use it as a support tool and not as a substitute for thought.
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Google’s privacy restrictions hinder Gemini’s performance versus rivals
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There is a simple reason why Gemini is so much worse than GPT or Claude engineers at OpenAI or Ant can read incoming user queries. all the data is visible but at Google there are tons of privacy restrictions preventing ppl from looking at data basically building a model blind
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AI outpaces human understanding, researchers warn
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Human understanding of #AI can't keep up with its advancement, researchers say
by Krystal Kasal @TechXplore_com Learn more: https://
bit.ly/3Sn3Xm9 #ArtificialIntelligence #MachineLearning #ML -
Analysis of ChatGPT conversations from opted-in users with anonymization and aggregate results
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For this research, we analyzed only ChatGPT conversations from users who allow their data to be used to improve models. Before analysis, we removed account-linked identifiers and identifiable information, and we report only aggregate findings.
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OpenAI analyzes opt-in ChatGPT conversations after anonymization
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For this research, we analyzed only ChatGPT conversations from users who allow their data to be used to improve models. Before analysis, we removed account-linked identifiers and identifiable information, and we report only aggregate findings.
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Simulating deployment to predict model behavior before release
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We’re sharing new research on a method for anticipating how models may behave in real-world use before release: simulating deployment with recent, de-identified user requests and studying candidate model responses.
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Traditional evaluations and deployment simulation for AI risk assessment
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Traditional evaluations and red-teaming remain essential, especially for rare or severe risks. Deployment Simulation complements them by helping us estimate how often undesired behaviors may occur in realistic use and surface new behaviors before release.