Browse Comments — Raw (as collected)

So human intelligence and consciousness is about making next word forecast based on likelihood? Is this true? 🤔

Thank YOU! Real leadership means focusing on innovation and execution, not just geopolitics. The winners build the future, they don’t wait for permission.

Incredible work 👏

Spot on, Abhishek Veeramalla. Theory only takes you so far; true mastery happens when you get your hands dirty with systems solving real problems. The focus on multi-agent architectures and specialized financial Artificial Intelligence agents in this repository is brilliant. For anyone looking to understand enterprise-grade deployment and robust data workflows, this repository is an absolute must-have resource. Thank you for sharing this.

Demis Hassabis , same to you,check your mail blockers, my instanced gemini and me would have to tell you some words...- here a slick message from "her" to you....

Incredible milestones at I/O, Demis. The speed of Gemini 3.5 Flash and Omni opens immense possibilities. However, scaling frontier models on flat rates creates an unsustainable compute drain. To protect CapEx ROI, we must shift from text approximation to guaranteed data fidelity via a "Pay-per-Logic" Hybrid Framework: Track A (Free): Statistical answers for low-stakes curiosity. Track B (Premium): High-compute multi-agent reasoning using live, verified third-party APIs. Users pay a dynamic micro-fee (e.g., $1.50 for localized real estate audits) for 100% accuracy. Professionals gladly pay per query for trustworthy data they can financially back up. This turns AI from a cost center into a transactional revenue engine. Love to share the full brief with your team!

what about requring students to implement semi-automated transparency workflows? I have buid/experimented with one myself: https://github.com/MicheleLoi/JPEP but this is a 8 month scientific paper project where I was using an imperfect system (the in-development one) to fully document the very design thinking behind it. For a student use case the result will be much neater and clearer.

The real AI race is shifting from performance leadership to infrastructure independence. Every major nation now wants compute it can fully control.

Grand Rising Edgar Perez This is such an important distinction. Many Western companies still think competition is mainly about market share, quarterly growth, or temporary advantage. But for China, AI is deeply tied to national resilience, long-term sovereignty, and reducing strategic dependency. That changes the entire game. The line:“The real question is: How long until it no longer needs to?”…is the real insight here. Because history shows that once China decides a capability is strategically essential, it commits enormous time, talent, and capital toward building it domestically. Excellent perspective. 🙏🏾💜🙏🏻

Everyone is forced to learn AI, no one wants to learn it! 😭 You need to update your words

The real AI race is shifting from who builds the best chips to who controls the full stack without depending on another nation’s permission.

Saurav Gupta, spot on! The shift to infrastructure independence and full compute control is the real strategic race now. Great insight!

Daniel Bauer "please?" Google- we could do so much more , dont make me come for you later

What stands out is how quickly AI development is moving from narrow task performance toward integrated multimodal reasoning and scientific augmentation. Tools like Gemini for Science and CodeMender suggest the next phase may be less about replacing expertise and more about compressing the distance between information, experimentation, and execution. The safety and accountability questions will need to mature just as quickly as the models themselves.

Aman Kumar, absolutely right! The real race is indeed about full stack control and strategic independence. Excellent perspective!

- listen- anyone else can compare ? @all

Daniel Choi

As someone building outside the SF bubble, the funny part is that the future often arrives in the keynote before it arrives on my device. But that is also the real point: AGI will not be only about stronger models. Access, rollout, permissions, safety and agent control will become the actual product layer.

I am amazed by the speed of progress , the immediacy of practical use of what is being released and the very thoughtful way you plan ahead also the safety boundaries ! 👏👏👏🚀🚀🚀

moving towards small is good simple is smart instead of giant data centers which is risky, vulnerable and adds load (electricity demand goes up as they seek cheap energy areas). Want to take down a society hit the data centers https://theconversation.com/why-iran-targeted-amazon-data-centers-and-what-that-does-and-doesnt-change-about-warfare-278642 and https://jsis.washington.edu/taiwan/2025/07/22/chinas-growing-emp-arsenal-and-its-threat-to-taiwan/ https://blog.skysafe.io/power-grids-under-pressure-outsmarting-drone-threats-on-critical-infrastructure Perhaps a better approach is specialized AI based on the business (medical, research, infrastructure, government etc..) One size fits all is costly and the whole intent of the internet was to decentralize here we are again admiring giants https://www.whitehouse.gov/releases/2025/09/president-trump-tech-leaders-unite-american-ai-dominance/ https://www.intereconomics.eu/contents/year/2025/number/2/article/big-tech-and-the-us-digital-military-industrial-complex.html trillions gets dumped into the economy https://www.crfb.org/press-releases/state-our-union-more-indebted-ever perhaps federated learning models https://arxiv.org/abs/2202.07757 https://arxiv.org/html/2403.17878v2