dcre

14 ms·

271.
by dcre 1y ago
This is more like Let Me Not Google That For You and You Shouldn’t Either
272.
by dcre 1y ago
Every day I see people who do not seem to know LLMs use web search and cite sources.
273.
by dcre 1y ago
In Helix this is mostly meant to be mediated by language servers. That said, you can use `:pipe` and other commands to pass the current selection to arbitrary shell commands and do stuff with the output.
274.
16 charts that explain the AI boom(understandingai.org)
4 points by dcre 1y ago|0 comments
275.
by dcre 1y ago
That's exactly what they're doing. https://www.anthropic.com/news/advancing-claude-for-financia...
276.
by dcre 1y ago
Vacuous, useless little piece. Sham thinking.
277.
by dcre 1y ago
I have no problem with calling out fascists but I don’t see any connection here.
278.
by dcre 1y ago
On the first section, this is sort of funny. This guy is complaining about Android and Windows. Meanwhile, Mark Gurman is reporting every week how behind Apple is on their LLM integration. So here I am on iOS and macOS and I don't have
279.
by dcre 1y ago
I think you are severely underestimating the amount of really bad stuff these things would say if the labs put no effort in here. Plus they have to optimize for some definition of good output regardless.
280.
by dcre 1y ago
I could have been more specific than "consistent set of ideas". The thing writes down a coherent identity for itself that it play-acts, actively telling the user it is a living entity. I think that's bad. On the second point,
281.
by dcre 1y ago
"Before this rollout, we ran extensive safety testing across sensitive wellbeing-related topics and edge cases—including whether memory could reinforce harmful patterns in conversations, lead to over-accommodation, and enable attempts
282.
by dcre 1y ago
Someone attempted that a couple of months ago: https://jj-for-everyone.github.io/ Discussion: https://news.ycombinator.com/item?id=45083952
283.
by dcre 1y ago
This is very funny. People just love jj! There are no conflicts of interest, at least not until now that there is a company built around jj. But they also started it because they love jj!
284.
by dcre 1y ago
I’m curious what the magit hunk selection UX consists in. I couldn’t find any videos showing something substantially different from the one built into jj — the videos I found were meant as beginner intros. I’ve never used magit but I used G
285.
by dcre 1y ago
In my experience there is a big difference between good models and weak ones. Quick test with this long article I read recently: https://www.lawfaremedia.org/article/anna--lindsey-halligan-... The command I ran was `cu
286.
by dcre 1y ago
The "annual" just means that the unit of time is a year. It doesn't mean that it is recurring annually. You can call it Annualized Monthly Recurring Revenue if it makes you feel better.
287.
by dcre 1y ago
Why do the unit economics require a decrease in inference spend per user? This is discussed at the end of the post. I think this is based on the very strange assumption that these businesses must charge $20 a month no matter how much infere
288.
by dcre 1y ago
They are. That is what ARR is.
289.
by dcre 1y ago
The graph that was widely shared to make this claim was from OpenRouter and did not represent ChatGPT usage in any way.
290.
by dcre 1y ago
They are sharing their actual revenue numbers. That's what ARR is. Take the number and divide it by 12 and that's monthly revenue.
291.
by dcre 1y ago
That is an article explaining why ARR is useful and important despite not being the same thing as GAAP revenue.
292.
by dcre 1y ago
Why is the calendar year the relevant unit? If you insist on years, then if you consider the year from June to June, $2,138 would be misleading small. The point of ARR is to give an up to date measure on a rapidly changing number. If you on
293.
by dcre 1y ago
That article says "Anysphere runs pretty lean with around 150 employees and has a single digit monthly cash burn, a source tells me." That would be total cash burn, i.e., net losses. If their AWS bill is bigger than that it's
294.
by dcre 1y ago
Numbers are always interesting, assuming they're real, but I just want to comment on the Cursor thing: Zitron has been insisting for 6 months that Anthropic screwed Cursor somehow by raising prices on them but the claim has always been
295.
by dcre 1y ago
There is no breakdown. Assuming they're real, they're just spending numbers.
296.
by dcre 1y ago
The article Zitron links says Cursor has single-digit millions of cash burn with about $1B in the bank (as of August). Assuming that is true, they are losing money but have a long runway. https://www.newcomer.co/p/curso
297.
by dcre 1y ago
"Cherry pick the highest" is misleading. If your revenue is growing 10% a month for a year straight and is not seasonal, picking any other than the most recent month to annualize would make no sense.
298.
by dcre 1y ago
The base model is a pure next token predictor. It just continues whatever prompt you give it — if you ask it a question, it might just keep elaborating the question. To turn these models into something that can actually chat (and more recen
299.
by dcre 1y ago
“At the heart of the note is a golden rule I’ve developed, which is that if you use large language model AI to create an application or a service, it can never be commercial. One of the reasons is the way they were built. The original large
300.
by dcre 1y ago
Added it!

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