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Grok3 Launch [video]

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Re: Grok3 Launch [video]

#241

Post by tkgally »

phtrivier wrote: post #169

Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…

The sister comments contain quite a few specific examples. But the many back-and-forth arguments here on HN about whether LLMs are useful for coding suggest that understanding how they might or might not be used may be the biggest challenge at this point.

I myself use them a lot, though I constantly feel that I would be able to get more out of them if only I were smarter.

Re: Grok3 Launch [video]

#242

Post by chrisco255 »

agubelu wrote: post #143
chrisco255 wrote: post #89

[flagged]

Because he owns companies that contract with the government and are affected by its policies. It's the very definition of a conflict of interest. And he's not even "auditing" the government. When you're auditing, you emit a report that the audited party later analyzes and acts upon. He's been given freeway to fire government workers as he pleases as if he's an elected officer, which he's not.

Washington has been known for revolving doors among particular industries for quite a few decades! Why the hoopla over this one?

They are auditing as part of their process of cutting costs. They're literally tracing trillions of dollars in financial records.

He's doing everything he's doing by executive order of the President of the United States, who was elected.

Re: Grok3 Launch [video]

#243

Post by concordDance »

dkjaudyeqooe wrote: post #83
Rover222 wrote: post #26

Earlier quoted context omitted.

Yeah, so many people aren't capable of talking about anything Musk-adjacent with clear thoughts. It's insane how quickly xAI went from not existing, to the top of the benchmarks.

I think people here are thinking very clearly about Musk and his various projects. Not sure about people elsewhere though.

Depends what you mean by "people here". I mean, obviously the majority of HN commentators and even the majority of commentators on this thread seem to be. But there will always be a couple of slightly unhinged folk in a big enough group of readers.

Re: Grok3 Launch [video]

#246

Post by concordDance »

Interesting thing about this is that because of all the Musk-related overhyping that's gone on and because the launch is a video, the thread that marks the entry of another company into the select group of serious AI companies will go off the front page with possibly only 200 points!

Re: Grok3 Launch [video]

#247

Post by chrisco255 »

agubelu wrote: post #145
_7acn wrote: post #133

Earlier quoted context omitted.

I think they just don’t like him for political views and they feed themselves with mainstream media

You should be more respectful of other people's intelligence. Not everyone who disagrees with you is brainwashed.

That was a perfectly respectable critique.

Re: Grok3 Launch [video]

#248

Post by nomilk »

phtrivier wrote: post #169

Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…

This video's pretty great: https://www.youtube.com/watch?v=uRuLgar5XZw

One thing I can't figure out how to get LLMs to do is truely finish work. For example if I have 100 items that need xyz done to them, it will do it for the first 10 or so and say ~"and so on". I have a lot of trouble getting LLMs to do tasks that might take 10 mins - 1h. They always seem to simply want to give an example. Batch processing is the answer, I guess, or perhaps more 'agentic' models/tools - but I wonder if there are other ways.

Re: Grok3 Launch [video]

#249

Post by crocowhile »

rendang wrote: post #10

Grok has gotten to the top of one benchmark: https://x.com/lmarena_ai/status/1891706264800936307 It's been said before but it is great news for consumers that there's so much competition in the LLM space. If it's hard for any one player to get daylight between them & the 2nd best alternative, hopefully that means one monopolistic firm isn't going to be sucking up all the value created by these things

It's not good news when this competition comes at cost of a gigantic over inflated bubble, in which all the big players keep on sucking billions from investors without even having a business model.

This hype will burst sooner than later and will trigger yet another global recession. This is untenable.

Re: Grok3 Launch [video]

#250

Post by bhl »

phtrivier wrote: post #169

Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…

I use it everyday.

For coding, I use cursor composer to gather context about the existing codebase (context.md). Then I paste that into DeepSeek R1 to iterate on requirements and draft a high level design document, maybe some implementation details (design.md).

Paste that back into composer, and iterate; then write tests. When I'm almost done, I ask composer to generate me a document on the changes it made and I double check that with R1 again for a final pass (changes.md).

Then I'm basically done.

This is architect-editor mode: https://aider.chat/2024/09/26/architect.html.

I've found Cursor + DeepSeek R1 extremely useful, to the point that I've structured a lot of documents in the codebase to be easily greppable and executable by composer. Benefit of that is that other developers (and their composers) can read the docs themselves.

Engineers can self-onboard onto the codebase, and non-technical people can unstuck themselves with SQL statements with composer now.

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