Reckons

Reckons

"#Big Tech" #Data
The Other Bubble
The Other Bubble
Buried in the 8000 words I wrote last week was a worrying story — that Microsoft considered drastic measures to free up  capacity in its US-based servers for GPUs to power the AI boom. In an email shared with me by a source from earlier this year, Microsoft's senior leadership team
The Other Bubble
It’s Time to Stop Taking Sam Altman at His Word
It’s Time to Stop Taking Sam Altman at His Word
Understand AI for what it is, not what it might become.
The technologies never quite work out like the Altmans of the world promise, but the stories keep regulators and regular people sidelined while the entrepreneurs, engineers, and investors build empires.
We’re in a race to the bottom that everyone saw coming and no one is happy with. Meanwhile, the search for product-market fit at a scale that would justify all the inflated tech-company valuations keeps coming up short. Even OpenAI’s latest release, o1, was accompanied by a caveat from Altman that “it still seems more impressive on first use than it does after you spend more time with it.”
The project of techno-optimism, for decades now, has been to insist that if we just have faith in technological progress and free the inventors and investors from pesky regulations such as copyright law and deceptive marketing, then the marketplace will work its magic and everyone will be better off.
Altman’s entire job is to keep us all fixated on an imagined AI future so we don’t get too caught up in the underwhelming details of the present
It’s Time to Stop Taking Sam Altman at His Word
The Map is Eating the Territory: The Political Economy of AI
The Map is Eating the Territory: The Political Economy of AI
It's all driven by who gets what
Rather than appealing to some vague notion of the awesomeness of progress, or the malignity of technology, we want, collectively, to coordinate on paths of technological development that will have spread benefits as broadly as possible, while mitigating for, or compensating for the costs.
LLMs should not be viewed as a substitute for high quality human generated knowledge. They should instead be viewed as an obligate complement to such knowledge - a means of making it more useful, which doesn’t have much independent worth without it.
The Map is Eating the Territory: The Political Economy of AI