#Ai

Adding to this:

I’d like to focus on my actual takeaway here: Elon Musk sucks at AI.
Look, Musk said multiple times that OpenAI wouldn’t succeed. He’s tried, repeatedly, to kneecap it and steal its researchers and in one case — that of Andrej Karpathy, a founding team member Musk lured to Tesla — succeeded. But how’s xAI doing? Well, it’s a black hole for money that’s been acquired by SpaceX. It’s hemorrhaging researchers. One of its huge data centers isn’t going to be occupied by xAI — there’s a deal with Anthropic instead. It might buy Cursor, in an attempt to match the programming-focused products put forward by Anthropic and OpenAI. xAI’s enterprise users, whether that’s the US government or private companies, have been strong-armed into using it. To the degree that its bespoke CSAM machine Grok, aka MechaHitler, works, it apparently works because Musk distilled other people’s models.

DALL-E 3 is here. And the future too, or almost at least.

Prompt: generate 3D images of the inside of a house in Singapore. It needs to look modern and minimalistic, with light colours, to show a customer. Focus on the living room.

It still sucks at generating text... Trying to get an 80s style logo for superuser.one...

This is quick and dirty (and with the help of ChatGPT).

FlatTurtle has a new site, and there's been some fine-tuning here and there that led to a few typos creeping in. I wanted a quick tool to plug in a page, and that would highlight possible mistakes.

I've been a personal (paying) user of LanguageTool for a few years now (European, and less spammy and dodgy than Grammarly)

So, I would like to propose another metaphor for the risks of artificial intelligence. I suggest that we think about A.I. as a management-consulting firm, along the lines of McKinsey & Company. Firms like McKinsey are hired for a wide variety of reasons, and A.I. systems are used for many reasons, too. But the similarities between McKinsey — a consulting firm that works with ninety per cent of the Fortune 100 — and A.I. are also clear. Social-media companies use machine learning to keep users glued to their feeds. In a similar way, Purdue Pharma used McKinsey to figure out how to "turbocharge" sales of OxyContin during the opioid epidemic. Just as A.I. promises to offer managers a cheap replacement for human workers, so McKinsey and similar firms helped normalize the practice of mass layoffs as a way of increasing stock prices and executive compensation, contributing to the destruction of the middle class in America.

Fittingly, it’s almost been 10 years to the day I’ve posted about “Everything is a Remix”, and AI is no different.

Yes, it’ll affect us, yes, it’s learning from us, but we’re still the creators. And we’ve been doing the exact same.