This assumes production of food is the bottleneck rather than distribution. If distribution is actually the bottleneck, overstocked food is not a measure of excess in society.
>At their very core, Large Language Models' costs run contrary to basically every model of selling software.
>Consumers and enterprises alike have been trained to pay a monthly fee for a service, and while these services might have limits or strictures, basically nobody buying software expects to have a metered service, let alone one that's both metered and with hard to measure costs.
Has Ed Zitron not heard about the cloud? Unpredictable AWS bills?
Unpredictable AWS bills are a supply-side problem. He's talking about consumer behavior, and consumers of software do not expect a metered service.
But most consumer's aren't paying per token for access to models, so unless that changes and the labs start charging API pricing to everyone, it's kind of a moot point.
Enterprise certainly wouldn't fit. This argument seems to be targeted at the consumer market, which Apple deals in. Consumers are not paying varying Disney+ subscription prices based on how much they watch. So many points are still interesting. Though, I'm not convinced the consumer market is the primary target for AI firms.
Hehe, a good joke, but to be a little boring, Clojure is successful and excellent and LLMs love it in my experience. And it's better in LLM era because there little frictions get agented away so to speak but the benefits mostly remain and are even amplified, like immutability as an example. Parens with overlong functions can be an issue but it's really not such a horror show. And Datomic-flavored Datalog in a Clojure triplestore feels almost made to order for LLMs.
Interesting how everyone's favorite language seems to be even better in LLM era, almost like passion, skill level and having LLMs matters more than the language.
Yeah great point. In my case I'd dropped Clojure and then returned because of how I could use it with LLMs. Still, the good news is maybe that LLMs don't just kill everything but three languages.
>That decomposition (perfect on templates, regressed on novelty) is the signature of “scaffold-then-internalize” training on genre-specific data, not a general gain in interactive abstract reasoning.
They're smuggling a claim that benchmarks like ARC-AGI measure "interactive abstract reasoning" here, which is what is claimed by the people that make these benchmarks, and also not proven.
>The lack of details to me means this was an intentional marketing ploy to try and demonstrate the power of their models to show their technology can compete with the likes of Anthropic and DeepMind.
DeepMind hasn't been on the frontier for a while, their current best model is behind Anthropic, OpenAI, Moonshot (Kimi k3), xAI (Grok 4.5), Z.AI (GLM 5.2), and even Meta (muse spark). Gemini 3.6 is behind GLM 5.2, released a month earlier, open weights and cheaper.
You can paint the OpenAI story as a way to try to appear as dangerous as Anthropic with all the Mythos stuff.
I think the way you interpret the null result is downstream of considering creatine as "a supplement". You can make the null result say anything by changing your prior about creatine or supplements. That's the issue with priors.
You also seem to reject the possibility that some things help just a bit. The author has another article in the same vein about "things that can help maybe a bit but the evidence we have doesn't really help detecting small effects" https://dynomight.net/vitamin-d/
The mix of humanizing the LLM, calling it "clanker" and being very aggressive towards it is really weird. I don't think it's a good habit to take, it feels like it could bleed into how you interact with people. Many interactions are through text interfaces these days.
The mouth speaks what is in the heart. What is inside eventually leaks out. In anonymized spaces, this is especially true, and has been acknowledged from the beginnings of the internet (and perhaps long before). When you don a mask, your heart speaks freely.
But the knife cuts both ways. As you speak, so will your heart be. I think modern psychology supports this. Actions drive attitude, and attitude drives actions. If you assert your will in either place, the other is disrupted and will adjust.
You can literally change yourself into whoever you want to be. But a passive participant in this process will simply show the world what kind of person they are without ever realizing it.
There's also an alternative which is that token prices are already high, downtimes do exist (semi frequent on Claude) or are managed by serving degraded versions/quants (speculation that has never really be proven afaik) or reducing thinking time ("juice" values from open AI), and that free tiers are not used much at all or are a loss leader.
