Jevons Paradox in action! š
NVIDIA likes talking about how each generation of AI hardware is getting more efficient -- with Blackwell using 50x less energy per token than Hopper in 2022 -- but LLM usage (conservatively) went up from 100B tokens per month to 2T tokens per month š·ššš š¶š» ššµš² š¹š®šš šš²š®šæ, according to Open Router (https://lnkd.in/evAWESXX).
This means that efficiency gains are being outpaced by the growth in usage, by far! Focusing on efficiency alone is missing the forest for the trees... | 13 comments on LinkedIn
Morally corrupt innovations are the easiest innovations to create ā Itās the lazy approach with dangerous consequences - The CEO Retort with Tim El-Sheikh
We live in an era where moral corruption is the current economic priority ā an economy built on shortcuts, cutting corners, and breaking the law. All, of courseā¦
AI coders think theyāre 20% faster ā but theyāre actually 19% slower
Model Evaluation and Threat Research is an AI research charity that looks into the threat of AI agents! That sounds a bit AI doomsday cult, and they take funding from the AI doomsday cult organisatā¦
The NYT published a fascinating article last month on the conundrum of AI accuracy and reliability. They found that even as AI models were getting more powerful, they generated more errors, not fewer. In OpenAIās own tests, their newest models hallucinated at higher rates than their previous models. One of their benchmarks is called a
Technologies of control and our right of refusal | Seeta PeƱa Gangadharan | TEDxLondon
Most of us donāt realise how much digital systems govern access to our basic public services, like education, health and housing. Even more terrifying is how...
Europeās Growing Fear: How Trump Might Use U.S. Tech Dominance Against It
To comply with a Trump executive order, Microsoft recently suspended the email account of an International Criminal Court prosecutor in the Netherlands who was investigating Israel for war crimes.
Ben Collins explains how The Onion is thriving by saying what others wonātāand why human-created satire matters in a media landscape increasingly saturated by noise and A.I. slop.
One of the popular uses of "AI" that I truly do not understand involves "brainstorming" ā and okay, I admit, I truly do not understanding using "AI" at all with what we know about its politically, psychologically, cognitively, and environmentally destructive effects. I've written before about how "brainstorming" is a Cold War invention, and how marketing has convinced us that we're lacking something that only its products or services can fulfill, that "creativity" is something special that few p
āThe vehicle suddenly accelerated with our baby in itā: the terrifying truth about why Teslaās cars keep crashing
Elon Musk is obsessive about the design of his supercars, right down to the disappearing door handles. But a series of shocking incidents ā from drivers trapped in burning vehicles to dramatic stops on the highway ā have led to questions about the safety of the brand. Why wonāt Tesla give any answers?
Springer Nature book on machine learning is full of made-up citations
Would you pay $169 for an introductory ebook on machine learning with citations that appear to be made up? If not, you might want to pass on purchasing Mastering Machine Learning: From Basics to Adā¦
This was originally titled āI miss when computers were funā. But in the course of writing it, I discovered that there is a reason computers became less fun, a dark thread woven through a number of events in recent history. Let me back up a bit.
This was originally titled āI miss when computers were funā. But in the course of writing it, I discovered that there is a reason computers became less fun, a dark thread woven through a number of events in recent history. Let me back up a bit.
At Amazonās Biggest Data Center, Everything Is Supersized for A.I.
On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up.
Against AI: An Open Letter From Writers to Publishers
To Penguin Random House, HarperCollins, Simon & Schuster, Hachette Book Group, Macmillan, and all other publishers of America: We are standing on a precipice. At its simplest level, our job as ā¦
ENVISIONING CARDS. A VALUE SENSITIVE DESIGN TOOLKIT Use the Envisioning Cards to create ethical technology and improve your design practice. The 2nd Edition consists of 42 Envisioning Cards downloadable in PDF format. Ā DOWNLOAD & PRINT Ā The Envisioning Cards ā¦ Continued
Iām not anti-AI. Iām anti-bullshit.
For those struggling to reconcile my work in AI product and strategy with the things Iāve been saying - let me make it plain.
Yes, I help teams build real AI products.
And yes, I refuse to prop up fantasies just because theyāre lucrative.
These arenāt contradictions.
Theyāre what make me credible.
I know what this tech can do. I also know what it canāt. And I know exactly how itās being spun to look like something it isnāt - not to help people, but to sell illusions dressed up as inevitability.
Weāre deliberately engineering the illusion of cognition. Not building minds - just engineering machines that mimic well enough to blur the line.
Augmentation is promised whilst replacement is sold.
And when the flaws emerge - hallucinations, cascading failure modes, confidently wrong outputs at scale - the spin kicks in:
āThatās just temporary.ā
āThatās just a data problem.ā
āThatās just a prompt away.ā
Itās not. Itās structural. Itās endemic to the heart of this technology.
Calling that out doesnāt make me anti-AI. It makes me more qualified to work in this field - because I donāt have to lie to make it useful.
Thatās why Iām valuable in what I do.
I donāt just know what to build - I know what not to build.
I understand what weāre building toward.
I understand the moral, ethical, philosophical, reputational, financial implications.
Iām not high on my own supply.
So no I wonāt dress this tech in a halo. I wonāt help gaslight the world into trusting a system that doesnāt understand a word it says.
But if you want real clarity - the kind that holds up after the hype collapses - then yes, Iām someone worth talking to.
This moment doesnāt need more AI evangelists.
It needs realism. It needs judgment. It needs people who can filter the bullshit and advise with clarity, those who see the cracks and still deliver.
And thatās exactly what I do.
On here, on the frontline, and in the boardroom. | 124 comments on LinkedIn
ILO Live - Revolutionizing health and safety: The role of AI and digitalization at work
AI and digital tools are revolutionizing occupational safety and health. Today, robots are operating in hazardous environments, doing the heavy lifting, managing toxic materials and working in extreme temperatures. They take on repetitive and monotonous tasks, while digital devices and sensors can detect hazards early on. At the same time, in the absence of adequate OSH measures, digital technologies can lead to accidents, ergonomic risks, work intensification, reduced job control and blurred boundaries. On the occasion of World Day for Safety and Health at Work 2025 this event brings together ILO constituents and international experts to explore how AI and digitalization are reshaping OSH systems across sectors and countries.
