Crypto
Ten Blue Links, AI is bad now edition
First up, apologies that there's been no long form post this week. I've had some family stuff which had to take priority over writing. Normal service should be resumed from next week.
And now on to the good stuff…
1. The last refuge of the desperate media
Ahh, low rent native ads — the kind that are designed to fool people into clicking by appearing to be genuine user or editorial posts. Always a sign that a company is desperate for revenue, any kind of revenue, and never mind the longer-term implications on quality. Now, why would Reddit want to do that?
2. Repeat after me: AI is not a thing
More specifically, AI is not a single technology, and what we talk about in the media as “AI” is, in fact, quite a limited, relatively new tool coming out of AI research — the Large Language Model, or LLM. Why does this matter? Because (how shall I put this?) less technically educated executives are likely to read articles like this one, about the successful use of AI in the oil industry, and think that they need to jump on the AI bandwagon by adopting LLMs. These are two very different things: Robowell, for example, is a machine learning system designed to automate specific tasks. It learns to do better as it goes along — something that LLMs don't do.
3. Tesla bubble go pop
The notion that Tesla was worth more than the rest of the auto industry combined was always bubble insanity, and it looks like the Tesla bubble is finally bursting. And this, of course, is why Musk is grabbing on to AI and why he proposed OpenAI merge into Tesla: AI is the current marker for a stock to end up priced based on an imaginary future rather than its current performance. Musk needs to inflate Tesla again, and just being an EV maker won’t now do that.
4. This is fine
I'm almost boring myself now whenever I post anything about the era of mass search traffic for publishers drawing to a close. But then someone comes up with a new piece of researching showing an impact of between 25-60% traffic loss because of Google's forthcoming Search Generative Experience. The fact that Google effectively does not allow publishers to opt out of SGE — you have to opt out of Googlebot completely to do so — should be an indication that Google has no intention of following the likes of OpenAI in paying to license publisher content, too. And I think the SGE is just the first part of a one-two punch to publisher guts: computers and how we access information is going to become more conversational and less focused on searching and going to web pages. As that happens, the entire industry will change, and it could happen faster than we think.
5. Feudal security
I often link to Cory Doctorow's posts, and it's not just because he's a friend -- it's because a lot of the things that he's been talking about for years are beginning to be a lot more obvious, even to stick-in-the-muds like me. This piece starts with a concept that I have struggled to articulate -- feudal security — and sprints on from there.
6. LLMs are terrible writers
Will Pooley has written a terrific piece from the perspective of an academic on why LLMs just don't write in a way which sounds human. They don't interrogate or question terms (because they have no concepts, so can't), there is no individual voice, they make no daring or original claims based on the evidence, and much more. My particular favourite — and one I have encountered a lot — is that LLMs love heavy sectionisation and simple adore bullet points. I've got LLMs to write stuff before, specifically telling them not to use bullet points, and they have used them anyway. As Tim succinctly put it in a post on Bluesky, LLMs create content which is “uniformly terrible, and terribly uniform”.
7. Craig Wright is not Satoshi Nakamoto
Craig Wright spent a lot of time claiming he was the pseudonymous creator of Bitcoin, and suing people on that basis. Finally, a court has ruled that he was lying. Whoever Nakamoto is/was, he's probably on an island somewhere drinking a piña colada.
8. Google updates, manually hits AI-generated sites
You might have noticed that Google did a big update in early March, finally responding to what everyone had been saying — that search had become dominated by rubbish for many search terms. Smarter people than me are still analysing the impact of that update, but one thing which stood out for me is there was a big chunk of manual actions to start. Manual actions are, as the name suggests, based on human review of a site, which means they are a kind of fallback when the algorithm isn't getting it right. And guess what the manual actions mostly targeted? AI content spam. All the sites that were whacked had some AI-generated content, and half of them were 90-100% created by AI. Of course, manual action is not a sustainable strategy to combat AI grey goo, but it should be a reminder to publishers that high levels of AI-generated content are not the promised land of cheap good content without those pesky writers. If you want to use it, do it properly.
9. The web is 35 years old, and Tim Berners-Lee is not thrilled
The web was meant to be a decentralised system. Instead, it's led to the kind of concentration of power and control that would have made the oligarchs of the past blush. That's just the starting point of Tim Berners-Lee's article marking the web's 35th anniversary, and he goes on to provide many good suggestions. I don't know if they are radical enough — but they are in the right direction.
10. A big tech diet
It's a long-standing journalistic cliché to try some kind of fad diet for a short period of time and write up the (usually hilarious) results, but in this "diet" Shubham Agarwal tried to drop products from big tech companies, and of course, it proved harder than you would think. Some things are pretty easy — swapping Gmail for Proton isn't hard (and Shubham missed out some tricks, like using forwards to redirect mail). But it's really difficult to avoid some products, like WhatsApp or LinkedIn, because there are few/no viable alternatives. That, of course, is just how the big tech companies like it because they long-ago gave up on the Steve Jobs mantra of making great products that people wanted to buy in favour of making mediocre products that people have no alternative to using.
