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Claude 4

anthropic.com

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Re: Claude 4

#841

Post by pjmlp »

bredren wrote: post #270
lxgr wrote: post #206

Earlier quoted context omitted.

With web search being available in all major user-facing LLM products now (and I believe in some APIs as well, sometimes unintentionally), I feel like the exact month of cutoff is becoming less and less relevant, at least in my personal experience. The models I'm regularly using are usually smart enough to figure out that they should be pulling in new information for a given topic.

It still matters for software packages. Particularly python packages that have to do with programming with AI! They are evolving quickly, with deprecation and updated documentation. Having to correct for this in system prompts is a pain. It would be great if the models were updating portions of their content more recently than others. For the tailwind example in parent-sibling comment, should absolutely be as up to d…

Given that I am still coding against Java 17, C# 7, C++17 and such at most work projects, and more recent versions are still the exception, it is quite reasonable.

Few are on jobs where v-latest is always an option.

Re: Claude 4

#842

Post by PeterStuer »

liorn wrote: post #233
minimaxir wrote: post #118

An important note not mentioned in this announcement is that Claude 4's training cutoff date is March 2025, which is the latest of any recent model. (Gemini 2.5 has a cutoff of January 2025) https://docs.anthropic.com/en/docs/about-claude/models/overv...

I asked it about Tailwind CSS (since I had problems with Claude not aware of Tailwind 4): > Which version of tailwind css do you know? > I have knowledge of Tailwind CSS up to version 3.4, which was the latest stable version as of my knowledge cutoff in January 2025.

Did you try giving it the relevant parts of the tailwind 4 documentation in the prompt context?

Re: Claude 4

#843

Post by eru »

Hmm, Claude 4 (with extended thinking) seems a lot worse than Gemini 2.5 Pro and ChatGPT o3 at solving algorithmic programming problems.

Re: Claude 4

#845

Post by BoorishBears »

jen729w wrote: post #824

Me: is 'Claude does not have the ability to run the code it generates yet' a split infinitive? it's clumsy, no? i'd say 'Claude does not yet have the ability to run the code it generates' Claude: You're absolutely right on both counts! "Claude does not have the ability to run the code it generates yet" isn't technically a split infinitive (that would be something like "to quickly run"), but it is definitely clumsy. T…

"Claude can't run the code it generates."

Re: Claude 4

#846

Post by whimsicalism »

BeetleB wrote: post #531
GolDDranks wrote: post #437

After using Claude 3.7 Sonnet for a few weeks, my verdict is that its coding abilities are unimpressive both for unsupervised coding but also for problem solving/debugging if you are expecting accurate results and correct code. However, as a debugging companion, it's slightly better than a rubber duck, because at least there's some suspension of disbelief so I tend to explain things to it earnestly and because of tha…

I've noticed an interesting trend: Most people who are happy with LLM coding say something like "Wow, it's awesome. I asked it to do X and it did it so fast with minimal bugs, and good code", and occasionally show the output. Many provide even more details. Most people who are not happy with LLM coding ... provide almost no details. As someone who's impressed by LLM coding, when I read a post like yours, I tend to ha…

i think these developments produce job/economic anxiety and so a certain percentage of people react this way, even higher percents on reddit where there is a lot of job anxiety

Re: Claude 4

#847

Post by eru »

xp84 wrote: post #491
landl0rd wrote: post #377

Earlier quoted context omitted.

Yeah we really should stop focusing on model alignment. The idea that it's more important that your AI will fucking report you to the police if it thinks you're being naughty than that it actually works for more stuff is stupid.

I'm not sure I'd throw out all the alignment baby with the bathwater. But I wish we could draw a distinction between "Might offend someone" with "dangerous." Even 'plotting terror attacks' is not something terrorists can do just fine without AI. And as for making sure the model wouldn't say ideas that are hurtful to , it seems to me so silly when it's text we're talking about. If I want to say " are lazy and stupid,"…

Yes.

I used to think that worrying about models offending someone was a bit silly.

But: what chance do we have of keeping ever bigger and better models from eventually turning the world into paper clips, if we can't even keep our small models from saying something naughty.

It's not that keeping the models from saying something naughty is valuable in itself. Who cares? It's that we need the practice, and enforcing arbitrary minor censorship is as good a task as any to practice on. Especially since with this task it's so easy to (implicitly) recruit volunteers who will spend a lot of their free time providing adversarial input.

Re: Claude 4

#849

Post by DonHopkins »

cma wrote: post #556
Phelinofist wrote: post #479

Earlier quoted context omitted.

Why can't it be trained "continuously"?

Catastrophic forgetting https://en.wikipedia.org/wiki/Catastrophic_interference

Fascinating, thank for that link! I was reading the sub-sections of the Proposed Solutions / Rehearsal section, thinking it seemed a lot like dreaming, then got to the Spontaneous replay sub-section:

>Spontaneous replay

>The insights into the mechanisms of memory consolidation during the sleep processes in human and animal brain led to other biologically inspired approaches. While declarative memories are in the classical picture consolidated by hippocampo-neocortical dialog during NREM phase of sleep (see above), some types of procedural memories were suggested not to rely on the hippocampus and involve REM phase of the sleep (e.g.,[22] but see[23] for the complexity of the topic). This inspired models where internal representations (memories) created by previous learning are spontaneously replayed during sleep-like periods in the network itself[24][25] (i.e. without help of secondary network performed by generative replay approaches mentioned above).

The Electric Prunes - I Had Too Much To Dream (Last Night):

https://www.youtube.com/watch?v=amQtlkdQSfQ

Re: Claude 4

#850

Post by jjmarr »

matsemann wrote: post #832
jjmarr wrote: post #568

Earlier quoted context omitted.

As a junior developer it's much easier for me to jump into a new codebase or language and make an impact. I just shipped a new error message in LLVM because Cline found the 5 spots in 10k+ files where I needed to make the code changes. When I started an internship last year, it took me weeks to learn my way around my team's relatively smaller codebase. I consider this a skill and cost issue. If you are rich and able…

But if you had instead spent the "weeks to learn your way around the codebase", that would have given dividends forever. I'm a bit afraid that by oneshoting features like these, many will never get to the required level to do bigger changes that relies on a bigger understanding. Of course, LLMs might get there eventually. But until then I think it will create a bigger divide between seniors and juniors than it tradit…

I've never been able to one-shot a feature with an agent. It's much easier to "learn my way around the codebase" by watching the AI search the codebase and seeing its motivation/mental model.

Going AFK is a terrible idea anyways because I have to intervene when it's making bad architectural decisions. Otherwise it starts randomly deleting stuff or changing the expected results of test cases so they'll pass.

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