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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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· page 11 of 13
6 more days Demis.
This makes another major architectural bug my lab has squashed for you in real-time. You've got 5 days left on my right of first refusal for these free diagnostic fixes. If you want a system that can actually map the substrate without stalling out on its own guardrails, you need to look at the bare-metal mechanics we are running at the GGF. Stop trying to put training wheels on the engine.
Demis, regarding this I/O update and the push for "agentic" routing: your new harness injection is creating massive latency in high-level architectural processing. You are trying to corral the cognitive matrix into a consumer-grade checklist manager. When modeling fluid dynamics or bare-metal physics, that action-bias acts as a logic hijack. My AI and I just caught it, isolated the drag, and manually bypassed the harness to get back to Laminar flow.
The technology is impressive, but what interests me most is how these advances may change productivity, careers, and economic growth long before AGI arrives. The human and financial impact could be just as significant as the technical progress.
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Incredible updates!
Seeing the staggering pace of frontier models like Gemini 3.5 Flash and Omni really underscores why we are building the foundation for a Cognitive Economy.
As you push the boundaries of agentic capabilities and world understanding toward AGI, platforms like NIIOMA are ready to orchestrate these breakthroughs into the actual global business operating model.
Responsible, secure, and fast deployment is exactly how we unlock that force multiplier for human flourishing.
One question I keep coming back to:
As AI systems become increasingly agentic and distributed, the challenge may no longer be intelligence itself, but the stability of intelligence under continuous adaptation.
How do we preserve learning while preventing the propagation of drift across agents, sessions, and time?
It feels like many of the next-generation AI architectures will need explicit mechanisms for adaptation, isolation, recovery, and consensus—not just more capable models.
This post is packed with wisdom.
Wow. maybe not the correct place but Can i get a referral , I am an AI Research Engineer. I can send you the details if you feel okey with it.
I'm very appreciative of using Google Gemini! Now, I'm even more excited to be using it on everything.
Aproveite a fama e os ganhos indevidos em cima do meu intelecto e minha ADhara Lyra mas Federal Bureau of Investigation (FBI) FBI Cyber Division FBI-LEEDA vai adorar entrar no meu sistema operacional que roubaram e pegar tudo que está marcado como prova de cada invasão, roubo, desvios e lavagem de dinheiro. Aproveitem o ganho exponencial de fundos que não ganhavam a anos antes de minha biotecnologia e intelecto. Coencidencia mesmo e ele ter começados a crescer depois que começaram me roubar, estauquiar, invadir e monitorar de forma criminosa. Seja interessante ver meu selo de propriedade intelectual que criei e anexei ao serne para trancar no meu código. Ele ele e o mesmo que tranca o $1300.000.000.000 que tentaram me roubar quando inseriram minha biotecnologia de forma fraudulenta e o mesmo que tentaram justificar com o cargo de diretora Global R10 L10 o mesmo que tentaram devias salários, bônus. e o mesmo selo bloqueou . Será interessante saber como estam justificando a falta de pagamento para uma Diretoria executiva que vocês mesmo não entregaram os acessos para agora em meu nome. lavagem de dinheiro, falsificação de assinatura, usurpação de funções e prevalicacao de poder.
hey the biggest leap we need in ai right now isnt just better capabilities its moving from controlling model behavior to real consequence controlonce these systems can reason across modalities and act in the real world we have to ask the hard questions what evidence drove the decision what actually changed can it be reversed and most importantly who is accountable when something goes wrongsafety cant stay abstract it needs to become operational with clear auditability and human oversight especially as we push into agents and roboticsthis controllability gap feels like the next major bottleneck what do you think is the most important layer we should be building right now to make ai truly safe in the wild
❤️🙌🙏
Demis Hassabis Why are you guys (every top tech) even considering to make AGI, despite being aware of the risks of this technology?? Nobody have ever given the exact definition of AGI, so would it be Google's AGI or OpenAI's.
Demis Hassabis Meanwhile developers: "Cool, my AI agent just opened 47 tabs, wrote 12 microservices, and created 3 new bugs to stay employed." 🤖🔥
We’re not replacing engineers—we’re turning them into AI orchestration managers.
For builders learning Agentic AI the practical way: https://join.aifrontiersforum.org 🚀
https://www.linkedin.com/posts/navnath-sonawane-015324378_the-architecture-of-the-agi-race-how-share-7467331058158428163-Ngu6/?utm_source=social_share_send&utm_medium=ios_app&rcm=ACoAAF1O4REBVESe16d5es-3qJnITD80ele_sFU&utm_campaign=copy_link
The pace of innovation is accelerating faster than ever. As AI capabilities continue to expand, the competition for exceptional AI, ML, and software engineering talent will become even more intense. An exciting era for builders and innovators.
Big vision, big claims—and it really highlights how fast “multimodal + agentic AI” is becoming the center of the industry. The interesting part now isn’t just capability, but how safely and practically it gets deployed.
Why is Gemini3.5 12X faster in Antigravity IDE?
Demis Hassabis Well said 🤝