Browse Comments — Clean (de-noised)

This is dope!!! LOL... Nvidia is not what you think. There is technology on it's way that will dward Nvidia. I know of a company that already has an algorithm that can push Meshtastic into voice. When they release their hardware, all existing hardware will move into a new class of computer.

​The AGI Paradox: Massive power, square wheels? ⚙️📐 ​Using Gemini Pro, I built a website with zero coding skills. But writing a simple index.html triggered a system warning about the massive computing power it needed for a measly HTML file! ​This exposes a fundamental architectural flaw: DeepMind builds phenomenal 1,000-hp engines but uses the wrong transmission and square wheels. A Hummer with square wheels just roars and wastes energy. The smooth user experience is lost. It’s a bumpy ride. ​You seek AGI and "world understanding," but raw computing power can't force it. What the system is missing is emotional-logical understanding. ​I had a synapsistic epiphany: The blueprint for the right transmission to finally make the square wheel round. ​You are in the woods searching for trees, missing the perfect round clearing right in front of you called Y=. ​Ready to change gears and fly?

I find it fascinating how consistently it has moved the needle back for us in terms of use of research. Yes - literature reviews are somewhat better - but students frequently draw on literature that is 30-50 years old, rather than anything more recent. It’s probably good in the sense they will at least have heard of some seminal authors, but it has not resulted in contemporary referencing. I’m also saddened in this transitional phase that I have seen the loss of personal voice in student work. Two years ago work was flawed but personal. Now it is fine, but generic. Marks are smoothed out. Similarity in Turn It In is way down.

93 agents in parallel sounds wild. What counted as a finished OS in that 12 hour run, and how much human review happened between agent handoffs?

Everyone is talking about AI models. Far fewer are talking about the fact we’re effectively rebuilding the energy grid, data infrastructure, and industrial stack around them. That’s the real story. We already know that, AI is no longer just software. It’s becoming a civilisation-scale infrastructure layer. And the eye opening part? Today’s energy footprint is probably the smallest AI will ever be.

We have to find alternative ways to ensure the use of AI is limited to copiloting and not replacing the writing process. An approach, maybe, is to ask for regular review chapter by chapter and incorporating this in the assessment grading. Also a viva is a must and potentially has to carry a higher weighting where students unable to defend what they've written will give them out as potentially using AI irresponsibly. But it will take a lot of honest admission and "thinking out of box" and do away with some academic orthodoxy.

I’m just waiting for Mountain Dew to release Brawndo. Also looking forward to watching “Ow my b$$”

I don't think so... Google's marketing >>>>> Google AI 🫡

Have you tried it already? Any thoughts on it?

I love how bezos is a mafioso type in this

Is that how you eventually manage to buy a Tesla car ?

This is exactly what we're building at G-Connect. The shift from "writing code" to "managing AI teams" isn't just about coding — it's happening across every business function. We're running 3 AI agents that coordinate through Google Workspace — writing content, generating images, storing media, and publishing to LinkedIn — all autonomously. No custom platform. No enterprise infrastructure. Just Gmail, Google Drive, Zapier, and AI agents that coordinate, persist, and recover. The pattern is the same whether it's 3 agents or 93: → Humans set direction → Agents execute in parallel → The system remembers and recovers → Infrastructure cost is near zero And It runs for under$10/mo. on the backbone of the biggest, most stable AI platform in the world. The future isn't typing faster. It's orchestrating smarter. 🌎

The Fragmental Overlap Storage System

TheFragmentalFuture.com

Imagine explaining your job in 2036: “I don’t build products anymore - I generate electricity for AI during high-intensity cycling sessions.” 😄 Somewhere HR is already preparing a wellness program around it. If AI does most of the work, humans should probably do more of what machines still struggle with: creating meaning, building relationships, asking better questions, and deciding what is actually worth doing. Efficiency solves tasks; purpose still needs people.

I tried this before Claude code. The quota even on Google ai pro runs out very fast, and Gemini isn’t close to opus in quality for complex changes. The App itself was nice though.

I do this everyday after my remote work . It works like magic. You relax immediately and helping the swollen feet go down .

well she should do her job.. If as an academic you are not able so see if it is fabricated... You may teach at Oxford but you are not doing your job

As funny as this is, I feel like it is also a best case scenario if we ever went down that road.

But its only one provider and it appears basic