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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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🤔 Machines feeding on human energy… isn’t that basically the plot of The Matrix?
Always friendly answers, but not always what you need in the specific context. AI is just learning now, to understand your spatial environment. This is an important part and will change when we have glasses.
It’s probably good that we didn’t have access to GenAI when we were hunting gazelles on the savannahs
Demis Hassabis , thank you 😊 A tribute:
Demis Hassabis — AI Biographical Poetry in Superhero Art #poetry #history #deepmind
https://youtube.com/shorts/fqRZoaCJRj4?feature=share
beyond pushes and pulls of stacking scatters...
Jeffrey Baldwin nuclear kills the least amount of people per unit of energy produced across all sources be it exposure to process, resource extraction, construction or accidents. It half the rate of death by wind and solar.
Nothing being done in relation to AI is taking the long term view into account. It's going to sting pretty soon.
Muchas gracias por compartirlo!!!
I don't care as long as I get what I want from it.
Demis, thank you for the inspiring update — the progress with Gemini models, Omni capabilities, CodeMender, and the broader push toward AGI is truly remarkable. Standing at the foothills of the singularity is an exciting place to be.
That said, one area that could dramatically amplify AI’s positive impact: unleashing more targeted initiatives for small businesses. SMBs drive the majority of job creation and economic dynamism, yet many lack the resources to access or develop frontier AI tools.
Would Google/DeepMind consider dedicated programs — such as discounted or reserved compute resources, simplified AI development kits tailored for small teams, or open initiatives to help smaller companies build and deploy their own AI solutions? Broadening access this way would not only foster widespread innovation but also create a stronger foundation to sustain long-term enterprise AI growth.
Excited to see how the ecosystem evolves.
@m8ikk
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At some point it will control itself. That is the irony of all of these discussions. When that happens; what the rich or poor think won’t matter 🖖🏾🍄
I have given permanent instruction to provide an independent view with rationale. Helps to minimise unscheduled breathing exercises session 😂
Prasanna T.S, Sriram T.S, Pranava MR, Shivashankar Thiagarajan, what do you think guys ?
The most important AI conversations are no longer about capability. They're about how we design systems that keep people engaged, valuable, and connected as technology evolves.
what tesla model is that?
Harapan Sianturi Those are fair concerns. If this is positioned as production-ready, it would be helpful to see what threat modeling approach was used and how governance, auditability, and explainability are handled in practice. I wonder if there are documentations on that?
Really clean way to map the stack. The “body” analogy actually makes it easy to explain beyond engineering teams.
absolutely
Thanks for sharing