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​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 s…

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 usi…

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 G…

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 actua…

I think part of this discussion may be focusing too narrowly on assessment methods. In reality, we already have many alternative approaches available: oral exams, pen-and-paper assessments, practical activities, project-based work, and many others. We can certainly continue designing new assessment strategies adapted to the AI era. At the same time, teachers themselves can also benefit from AI to…

"Though the AI-assisted test-takers had a higher solve rate than the control group for most of the experiment" - that's what a technology is for isn't it? If it can't solve it you fall back on yourself!

Very relevant. The easiest thing to copy today: UI + feature layer. The hardest thing to copy: Years of customer trust, usage patterns, internal workflows, and real-world distribution. A strong AI product isn’t just model + interface. It’s: AI + proprietary context + workflow integration + user trust + operational scale That’s where defensibility compounds. Great visual Rubén Domínguez Ibar

"Foothills of the singularity" is a statement about relative position, not absolute pace. It's saying the curve is still steepening. CodeMender is the most consequential announcement here — not because the capability is new, but because of what it forces organizations to answer. Who authorizes an AI to modify production code autonomously? Under what constraints? With what rollback protocol? What …

(sadly, the article is behind a paywall, so I don't know what it says... but I happen to be taking a break from grading essays to scan linkedin to remind myself of other things I could be doing right now lol). It's a sad state of affairs. I think about how the students of today will possess degrees but none of the actual knowledge and skills that those degrees represent. It isn't all of them, tha…

The spin class economy is more plausible than I'm comfortable admitting. But the real question buried here — what should humans remain responsible for, not just capable of — is the one most AI strategies haven't answered yet. Replacing tasks is easy to measure. Redesigning participation is not.

Pascal BORNET - getting awfully close to the Matrix concept of human batteries, no? So does the person with the biggest wattage output get the bigger house and better car for a nicer cage?Be all you can be is different for different people. I like a good mix of physical testing, growth and thrills. But it is not for everyone. You said it right - AI should not be designed to make humans obsolete. …

Sure, and when I use it to have sophisticated language discussions and to reflect on my own ideas this harms my brain development. On the contrary, this study was clearly done under bias analysis, a room of people who use ai like a calculator rather than reflection of inputs into the system. Systems thinking, critical thinking and understanding how to apply this technology is not damaging the bra…

Yes, students can now use AI to generate essays without deeply reading books, but the real issue is not AI itself — it is whether universities are building strong ethical, intellectual, and practical frameworks around it. AI and machine learning can become far more dynamic than static textbooks when designed with reliable data, strong systems, and continuous improvement. But AI cannot replace hum…

Alvin Foo do you ever work at the Silicon layer? When you write your software? Semi- conductor chips/memory have inbuilt error checking & correction code in silicon, so as to enable you to orchestrate software work (writing applications) without any errors, whilst operating at a much higher level, even if you know nothing about VLSI chips or RAM. You cannot orchestrate with AI unless you can trap…

AI seriously disrupts the business model of academia. For decades, many academics have hidden behind abstruse language, arcane citation rituals, and credentialism to create artificial moats around knowledge. AI tears down those barriers in seconds. The outrage is not really about students becoming less intelligent. If academic standards were the concern, where were these people when grade inflati…

Unfortunately, even before this AI has appeared, many ( perhaps most ) students graduated without reading a book. The question is what do people read these days? Only a small intellectually inclined elite reads anything substantial at all. The internet killed reading long time before generative AI. The issue now is that people do not read anything deep, just headlines and bullets on powerpoint an…

The distinction between AI that supports learning and AI that removes the friction of learning. That's what most policy conversations miss. One layer I sometimes think about is that unclear expectations aren't just a classroom problem. They reflect something more structural in Higher Education as well. University funding often flows toward research output, not teaching quality - so institutions h…

The real risk isn't AI taking our jobs, it's humans outsourcing their judgment so completely that they forget how to direct the machine in the first place. What we keep teaching is this: the people who stay central to the future aren't the ones who avoid AI, they're the ones who understand it well enough to tell it what actually matters

This is massive, dear Nadeem. Abu Dhabi's 50% of government operations will soon be executed by autonomous AI agents.

This is technologically impressive. But there is a profound difference between accelerating administration and automating sovereignty itself. The real question is not whether AI agents can process approvals faster. Clearly they can. The question is what happens when: - autonomous execution, - state authority, - critical infrastructure, - and opaque machine decision systems become fused into the s…