Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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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 iimi.?88 okk
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
Hasan Faisal
AI can unlock bolder research paths and make discovery more accessible.
What strikes me most isn't the pace of technological progress, it's the pace at which leadership capability needs to evolve alongside it. Building AGI may be the defining technical challenge of our era. Building organisations capable of deploying it responsibly, with the right leaders, culture and judgment at every level, may prove equally demanding. The bottleneck won't be the technology. It rarely is. The real challenge will be ensuring human judgment evolves as quickly as machine capability. Fascinating perspective, Demis.
Adoption tends to accelerate when the technology solves a specific decision or productivity problem.
Joanne Bell 100%
Many thanks for sharing