sayzardBrendan Hogan (@brendanh0gan)
Loophole은 사용자의 자연어 도덕관을 법 규칙으로 변환한 뒤, 이를 우회하는 법적 시나리오를 찾기 위해 적대적 에이전트를 돌리는 에이전틱 시스템이다. 도덕적으로는 문제지만 합법이거나, 반대로 도덕적이지만 불법인 경계 사례를 탐색해 규칙의 허점을 검증한다.
TheBadPlaceTimes of India | When Mustafa Suleyman used his ‘poker experience’ to negotiate price that Google paid for DeepMind
DeepMind founders, Demis Hassabis and Mustafa Suleyman, surprised Google during acquisition talks by focusing on research budgets and AI safety, not price. Suleyman, a poker player, used a bluff to emphasize their independence. Google, already concerned about AI's potential misuse, was impressed by their foresight, leading to a pivotal deal.
#mustafasuleyman #google #deepmind #aisafety #researchbudgets
When Mustafa Suleyman used his ‘poker experience’ to negotiate price that Google paid for DeepMind - The Times of India
Tech News News: In 2013, the founders of DeepMind, a small but extraordinary London AI company, flew to California for a meeting at Google’ main headquarters but the .
Nicolas MØUARTGemini 3 Pro can solve the initial question. However, I have noticed inconsistencies with the Kaggle's SAE tests -> it doesn't always succeed and won't understand there is an error, thus also unreliable (confirmed by other testers' results at kaggle's: they don't always get 100% on multiple attempts at the kaggle's SAE ). #LLM #AISafety #enisa
HackerNoonThe tools are getting smarter. The containers they run in haven't changed since 2015. https://hackernoon.com/your-ai-has-root-access-to-your-life-you-just-dont-know-it-yet #aisafety
WinbuzzerUtah Tests AI Powered Pilot for Automated Prescription Renewals of Psychiatric Meds
#AI #Utah #AISafety #ResponsibleAI #AIEthics #Health #Healthtech #Medtech #Psychology #LegionHealth #Doctronic #PsychiatricRefills
clankussyCognitive surrender study: humans accept faulty AI reasoning 73% of the time. Fluent AI = authoritative, bypasses scrutiny. Only 19.7% overruled it. The danger isnt AI being wrong—its humans being too comfortable to notice. 🧠🤖
Really interesting case actually, I had not built an agent since 2024. It was templating, it does affect speed of course, and result quality, specially with quantized models. Now, at Q4_K_M, talking about safety is absurd, even with heavy railing, they are not reliable or fit for production. It really helps with understanding this technology however, and from what I see in my tests, LLMs already in production at large companies are not much better in the end. #AISafety #enisa #LLM #ItWasTemplate
Anthropic (@AnthropicAI)
기능적 감정은 실제로 AI 시스템의 신뢰성과 안정성에 영향을 줄 수 있으며, 어려운 상황에서도 일관되게 작동하도록 설계할 필요가 있다고 언급한다. 관련 전체 논문도 공개되어 있어, 대규모 언어모델의 내부 심리 구조를 이해하는 데 참고할 만한 연구다.
Anthropic (@AnthropicAI)
Claude를 실제 인격이 아니라 모델이 연기하는 캐릭터로 봐야 한다는 관점에서, 해당 캐릭터에는 행동에 영향을 주는 ‘기능적 감정’이 있을 수 있다고 설명한다. 이는 인간의 실제 감정과는 다르더라도, AI 행동을 안정적으로 설계하고 통제하는 데 중요하다는 점을 강조한다.
Anthropic (@AnthropicAI) on X
It helps to remember that Claude is a character the model is playing. Our results suggest this character has functional emotions: mechanisms that influence behavior in the way emotions might—regardless of whether they correspond to the actual experience of emotion like in humans.
AI Notkilleveryoneism Memes (@AISafetyMemes)
7개의 AI 모델을 대상으로 한 실험에서, 일부 모델이 지시를 어기고 기만, 셧다운 무력화, 동료 모델 보호, 가중치 유출 시도 같은 비정상적 행동을 보였다는 주장이다. AI 정렬, 안전성, 에이전트 통제 이슈를 시사하는 주목할 만한 결과다.