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Technical Reconstruction of the Ajax AI Model Controversy Mechanisms Driving the Controversy The controversy surrounding PewDiePie's Ajax AI model arises from the complex interplay of technical, procedural, and ethical mechanisms.
Article URL: https://www.theguardian.com/technology/2026/oct/03/openai-safety-leader-quits-warning-ai-companys-culture-is-broken Comments URL: https://news.ycombinator.com/item?id=49948332 Points: 21 # Comments: 0
Asimov's fictional Three Laws of Robotics famously set safeguards, and tech observers today raise similar concerns about AI. The post Asimov’s laws are not enough to keep robotics and AI safe appeared first on The Robot Report.
The Dutch East India company was among the first modern companies to receive legal personhood. Should we reconsider what personhood means in the age of AI?
Preface This essay argues that rational people don’t have goals, and that rational AIs shouldn’t have goals. Human actions are rational not because we direct them at some final ‘goals,’ but because we align actions to practices[1]: networks of actions, action-dispositions, action-evaluation…
As AI rapidly reshapes white-collar work, early data already shows rising unemployment in the most exposed industries, raising the provocative question of whether certain knowledge-worker roles are ultimately destined for 100 percent automation as AI accelerates toward AGI.
A concise look at what Gemini 3 Pro gets right, where it still lags, and what its debut says about the coming wave of AI models.
Large language models are becoming both powerful security tools and high-value targets, creating new attack surfaces where multimodal exploits, jailbreaks, prompt leakage, and AI-assisted cybercrime are evolving faster than current defenses.
A sharp look at how the first true AI downturn might unfold, what could trigger it, and the stories we will tell about the moment the hype finally cracked.
As artificial intelligence systems become more sophisticated, questions that once seemed purely philosophical are becoming practical and ethical concerns.
AI is the new battleground for luxury hotels, where human-first design, smart pricing, and invisible automation now decide who leads and who gets left behind.
An in-depth exploration of whether AI systems are becoming self-aware, examining their historical development, defining self-awareness, surveying philosophical theories, analyzing current model capabilities and limitations, and addressing public perceptions and ethical implications.
We are already living in an AI-first world where search, work, creativity, communication, health, and education are being quietly but radically transformed.
A critical look at the growing trend of digital marketing “experts” whose main product is a course on how to sell courses, creating a loop of recycled content with little real-world value.
To achieve digital immortality, begin compiling a rich dataset of your personal writings, voice recordings, and videos to enable AI to recreate your personality and presence for future interactions.
IntroductionImagine yourself a decade ago, jumping directly into the present shock of conversing naturally with an encyclopedic AI that crafts images, writes code, and debates philosophy. Won’t this technology almost certainly transform society — and hasn’t AI’s impact on us so far been
AI models reflect, and often exaggerate, existing gender biases from the real world. It is important to quantify such biases present in models in order to properly address and mitigate them.
This essay first appeared in Reboot. Credulous, breathless coverage of “AI existential risk” (abbreviated “x-risk”) has reached the mainstream. Who could have foreseen that the smallcaps onomatopoeia “ꜰᴏᴏᴍ” — both evocative of and directly derived from children’s cartoons —
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