Dan McAteer (@daniel_mac8)
‘Spud’로 보이는 새로운 AGI/AI 모델 또는 제품의 출시 전야를 암시하는 트윗으로, 곧 새로운 발표가 있을 것 같은 분위기를 전합니다.
Dan McAteer (@daniel_mac8)
‘Spud’로 보이는 새로운 AGI/AI 모델 또는 제품의 출시 전야를 암시하는 트윗으로, 곧 새로운 발표가 있을 것 같은 분위기를 전합니다.
Henry Shevlin (@dioscuri)
Google DeepMind가 새 Philosopher 직책을 신설해 작성자를 채용했으며, 머신 콘셔스니스, 인간-AI 관계, AGI 대비를 연구하게 한다는 개인 소식이다. 5월부터 시작하며 캠브리지에서의 연구·강의도 파트타임으로 병행한다.
https://x.com/dioscuri/status/2043661976534950323
#googledeepmind #agi #machineconsciousness #humanai #research

Big personal news: I’ve been recruited by Google DeepMind for a new Philosopher position (actual title), focusing on machine consciousness, human-AI relationships, and AGI readiness, starting in May. I’ll continue my research & teaching at Cambridge part-time. Absolutely stoked!
The "Monolithic LLM" approach is dead.
For the last few years, the tech consensus was that achieving Artificial General Intelligence (AGI) meant building one massive, all-knowing algorithm. Enterprise researchers are now proving that wrong.
The real breakthroughs are happening in Multi-Agent AI Systems.
Instead of one AI trying to do it all, we are seeing networks of specialized agents. A legally-trained agent parses compliance while a logic-trained agent codes the architecture. They work in parallel, share shortcuts instantly, and create intelligence that is greater than the sum of its parts.
If your business is still relying on a single chat prompt, you are already behind the curve.
I just published a deep dive on how platforms like Moltbook are testing this networked intelligence right now.
🔗 Read the full architectural breakdown on DigiGlitch: https://digiglitch.net/lg57
#TechInnovation #SoftwareArchitecture #AGI #ArtificialIntelligence #EnterpriseTech