Satya Nadella says AI progress is no longer just about scaling a single transformer model
Innovation is constantly shifting the focus from pre-training to post-training, reasoning, and reinforcement learning
"we are one sort of innovation away from the entire regime changing"
I agree with Sam Altman.
AI can make kids dumber if it’s used as a shortcut. That’s real and it’s a problem.
But for most students, AI is a force multiplier, just like Google once was, only far more powerful. The answer isn’t banning it, it’s redesigning education and how we measure learning.
And yes, infinite scroll is brain rot for kids.
Technology should expand human potential, not drain attention.
Sam Altman: "Revenue is growing so fast, not just for us, but the whole ecosystem, to support all of this infrastructure. So I don't worry about that part."
Supply chain volatility, specifically chip access, remains a concern.
Geoffrey Hinton says AI hallucinations should actually be called confabulations
Neither human brains nor AI models store memories in a filing cabinet; both construct recall on the fly using connection strengths
Because of this, both will confidently generate plausible answers without knowing the ground truth
📁 Ray Kurzweil, futurist and AI pioneer, says we will not coexist with artificial intelligence, we will merge with it.
The boundary between biological and computational intelligence will vanish to the point where the origin of an idea is indistinguishable.
Today we still know when an answer comes from an external model. In the future that difference fades completely. Thinking with AI will feel the same as thinking itself.
Jensen Huang says the AI bubble test is simple: try renting an NVIDIA GPU
NVIDIA GPUs are in every cloud, and demand is so high that even two-generation-old hardware is seeing a spike
The investments are massive because we're building the infrastructure for every layer of AI above it
Palantir CEO Alex Karp says off-the-shelf LLMs fail in enterprise.
“Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.”
"Software Engineering Will Be Automatable in 12 Months,"
Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most, maybe all' of what software engineers do end-to-end within 6 to 12 months, shifting engineers to editors.
THE FUTURE OF AI APPLICATIONS
Jensen Huang: “Another breakthrough happened… the first time I realized Perplexity was using multiple models at the same time, I thought it was completely genius.”
The future isn’t one great model…
It’s orchestrating multiple great models at every step of the reasoning chain.
Multi-model. Multimodal. Multi-cloud.
Emad Mostaque says if your job is on a screen, AI will do it better for pennies within two years
2026 will be when economic agents are benchmarked in dollars
By 2027-28, companies will deploy "digital doubles" that run nonstop and don't repeat mistakes
"it's a new economic turing test"
Bill Gates admits he's "not confident" AI's promise will outweigh its perils — but then says we can "shape it in the right way" like nuclear weapons
Emily Chang: "Hearing you say you're not confident is kind of scary."
Gates: "AI will change learning, the job market... It'll challenge us."
Gates has funded AI heavily through his foundation — is this a genuine concern or just more influence from a billionaire who profits from tech revolutions?
0:53 clip inside — hear his words.
Geoffrey Hinton says dying of cancer may soon become optional.
With a full-body MRI and AI interpretation, early detection could become routine.
But only if you can afford the scan.
Elon Musk says the critical threshold for humanity is building a self-sustaining city on Mars that can survive without Earth
The real risk isn't just world war 3
But if Earth loses the ability to send ships, we either die with a bang or a whimper
"it can be done in 20 years"
Sam Altman says soon everyone will be a software engineer and he might be right
Sam Altman just casually dropped one of the biggest takes about the future of work and software and people are still sleeping on it.
Here’s the core idea, and it’s honestly wild:
Natural language is the new syntax
You won’t write code. You’ll describe what you want in plain English. Talking to computers becomes the default programming interface.
The end of the “army of developers”
No product managers writing specs. No giant dev teams for v1. You describe the app and the AI builds it.
The overnight app
You explain your idea, go to sleep, and the AI spends the night writing, testing, and wiring everything together. You wake up and the product exists. Coffee optional but recommended ☕
Autonomous software agents
For complex systems, AI agents live inside the codebase itself.
They crawl the repo, fix bugs, write tests, refactor code, and commit changes on their own.
A digital workforce that never sleeps
Not copilots. Not autocomplete. Actual agents doing ongoing engineering work without supervision.
Beyond coding: total company automation
Once software is automated, the same logic applies to operations, planning, and even parts of management. Code is just the first domino.
If this plays out, “learning to code” becomes less important than learning to think clearly, describe intent, and spot good ideas.
Question for you 👀
If everyone can build software, what actually becomes scarce: ideas, taste, or execution?
“There’s nothing artificial about AI. It’s inspired by people. It’s created by people.
Everybody should care about AI because it's going to impact your individual life, your society and the future generation.”
~ Dr Fei-Fei Li (@drfeifei )
Yoshua Bengio says consciousness isn't a mystical spark, but the result of computation in biological machines.
As biology, neuroscience, and AI explain its functions, the mystery may fade.
The belief that humans are special probably won't.
Jensen Huang says the industry is shifting from generative AI to agentic AI
The next major step is fusing public cloud frontier models with customized open-source systems running on enterprise servers
But the end goal is physical:
"moving intelligence from the cloud into industrial AI, factories and robotics"
Anything that can be done on the other side of a computer screen can be done by AI—better and cheaper.
~ Emad Mostaque, founder of Stability AI
This is pretty much also what Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind said this week.
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Video from 'Peter H. Diamandis' YT channel (link in comment)