Opensource AI MUST WIN OpenAI / Anthropic winning is – At best a world we can tolerate – At worst a dystopia We lose in all scenarios, the degree of that loss is a matter of how things play out + being UNDER THEIR MERCY This is our MOST IMPORTANT FIGHT Existential.
SAFETY
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Mythos surpasses GPT 5.5 but raises security concerns
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1. Agree with @scaling01: Mythos seems to be a better GPT 5.5 on many indicators.
2. Mythos is definitely a major call for vigilance regarding security, and will pose problems for real-world systems that are not well protected. As @scaling01 -
Ex-OpenAI Employee Claims 70% AI Extinction Risk
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Ex OpenAI employee Daniel Kokotajlo claims of a 70% chance of human extinction from AI within ~5 years
— Amitav Bhattacharjee (@bamitav) 23 mai 2026
All humans dead? Seriously? 😳 #extinction #artificialintelligence #AI@AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA… pic.twitter.com/OPyuzwLa7dEx OpenAI employee Daniel Kokotajlo claims of a 70% chance of human extinction from AI within ~5 years All humans dead? Seriously? #extinction #artificialintelligence #AI @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA
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AI Progression: AGI, ASI, and Convergence Stages
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C'est facile de répondre à cette question. Nous avons 3 étapes à venir après l'IA. Prochaine étape, AGI.
Puis à l'étape suivante, ASI.
Et pour finir, CBT. AGI = Artificial General Intelligence (human-level)
ASI = Artificial Superintelligence (human surpassed)
CBT = Convergence -
Montreal.AI launches public forum for AGI-first to ASI-first era
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MONTRÉAL.IA / http://
MONTREAL.AI is live on Eventbrite. Public Intelligence for the AGI-first → ASI-first Era. Briefings. Debates. Archives. Public record. http://
MONTREAL.AI convenes the public-intelligence forum for frontier AI, sovereign intelligence, -
Data Poisoning Risk in Edge AI Systems
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Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT pic.twitter.com/YBmV9x1gtC
— Lucian Fogoros (@fogoros) 23 mai 2026Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT
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AI Safety and Regulation: When Does AI Become Too Dangerous
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AI is evolving faster than regulation, governance and public understanding — and that raises an important question: when does AI become too dangerous to ignore? From autonomous decision-making and misinformation to cybersecurity threats and the potential loss of human
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AI replaces pre-editing planning, not the editor
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You don't need AI to replace your editor. You need AI to replace the 6 hours of planning, scripting, and creative decision-making that happens BEFORE you edit.
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Run local air-gapped models to avoid data center risks
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Bruh, just run the model locally in an air-gapped server access w/ those Chinese models and you'll be fine since there is no internet connection Sending your life to a data center that someone controls IS NOT okay
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AI Enters the Kill Chain: Unity in Principle, Variation in Practice
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Unity In Principle, Variation In Practice: When AI Enters the Kill Chain! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode