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GitHub cuts AI deals with Google, Anthropic

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Re: GitHub cuts AI deals with Google, Anthropic

#432
post #431

Call me eccentric but the only true or utilitarian use case I've found for AI so far is chatgpt. Rest all appear to be shiny toys just trying to bask in the AI glory but none solve any real human problem?

ChatGPT is just good at marketing and they were the first one with good model. Claude is equally good or better

Re: GitHub cuts AI deals with Google, Anthropic

#433
post #359

Earlier quoted context omitted.

As a programmer of over 20 years - this is terrifying. I'm willing to accept that I just have "get off my lawn" syndrome or something. But the idea of letting an LLM write/move large swaths of code seems so incredibly irresponsible. Whenever I sit down to write some code, be it a large implementation or a small function, I think about what other people (or future versions of myself) will struggle with when interactin…

I think it depends on the stakes of what you're building. A lot of the concerns you describe make me think you work in a larger company or team and so both the organizational stakes (maintenance, future changes, tech debt, other people taking it over) and the functional stakes (bug free, performant, secure, etc) are high? If the person you're responding to is cranking out a personal SaaS project or something they won…

I am quite interested in how LLMs would handle game development. Coming to game development from a long career in boutique applications and also enterprise software, game development is a whole different level of "boutique".

I think both because of the coupled, convoluted complexity of much game logic, and because there are fewer open source examples of novel game code available to train on, they may struggle to be as useful.

Re: GitHub cuts AI deals with Google, Anthropic

#434

Earlier quoted context omitted.

As a programmer of over 20 years - this is terrifying. I'm willing to accept that I just have "get off my lawn" syndrome or something. But the idea of letting an LLM write/move large swaths of code seems so incredibly irresponsible. Whenever I sit down to write some code, be it a large implementation or a small function, I think about what other people (or future versions of myself) will struggle with when interactin…

> The more time I spend in a codebase the better idea I have of what the writer was trying to do. This whole thing of using LLMs to Code reminds me a bit of when Google Translate came out and became popular, right around the time I started studying Russian. Yes, copying and pasting a block of Russian text produced a block of english text that you could get a general idea of what was happening. But translating from en…

This is a great analogy. I find myself thinking that by abstracting the entire design process when coding something using generative AI tools, you tend to lose track of fine details by only concentrating on the overall function.

Maybe the code works, but does it integrate well with the rest of the codebase? Do the data structures that it created follow the overall design principles for your application? For example, does it make the right tradeoffs between time and space complexity for this application? For certain applications, memory may be an issue and while code the may work, it uses too much memory to be useful in practice.

These are the kind of problems that I think about, and it aligns with your analogy. There is in fact something "lost through this translation layer".

Re: GitHub cuts AI deals with Google, Anthropic

#435
post #266

Earlier quoted context omitted.

That’s the thing, isn’t it? The craft of programming in the small is one of being intimate with the details, thinking things through conscientiously. LLMs don’t do that.

I find that it depends very heavily on what you're up to. When I ask it to write nix code it'll just flat out forget how the syntax works half way though. But if I want it to troubleshoot an emacs config or wield matplotlib it's downright wizardly, often including the kind of thing that does indicate an intimacy with the details. I get distracted because I'm then asking it: > I un-did your change which made no sense…

That doesn't work in the tech industry, because almost nothing is decades old, for obvious reasons.

Re: GitHub cuts AI deals with Google, Anthropic

#436

Reviewing these conversations is like listening to horse and buggy manufacturers pooh-poohing automobiles: 1. they will scare the horses. a good team of horses is no match for funky 'automobile' 2. how will they be able to deal with our muddy, messy roads 3. their engines are unreliable and prone to breaking down stranding you in the middle and having to do it yourself.. 4. their drivers cant handle the speed, too ma…

It is hard to understand some phenomena if it stands to reduce your income. Even if the LLMs don't improve one bit from here and current state is froze, they are still too good and will be everywhere before we can finish talking of horses and automobiles.

Re: GitHub cuts AI deals with Google, Anthropic

#437
Interestingly GitHub (a Microsoft entity) will use Amazon Bedrock to run Claude Sonnet.

> Claude 3.5 Sonnet runs on GitHub Copilot via Amazon Bedrock, leveraging Bedrock’s cross-region inference to further enhance reliability.

[1] https://www.anthropic.com/news/github-copilot

Re: GitHub cuts AI deals with Google, Anthropic

#438
post #55

Earlier quoted context omitted.

Conversely I feel that the experience of searching has been degraded by a lot since 2016/17. My these is that, at this time, online spam increased by an order of magnitude

Old style Google search is dead, folks just haven’t closed the casket yet. My index queries are down ~90%. In the future, we’ll look back at LLMs as a major turning point in how people retrieve and consume information.

Abstractive vs. extractive search.

Re: GitHub cuts AI deals with Google, Anthropic

#439
post #85

I’ve been using Cody from Sourcegraph to have access to other models, if copilot offers something similar I guess I will switch back to it. I find copilot autocomplete to be more often on point than Cody, but the chat experience with Cody + Sonnet 3.5 is way ahead in may experience

I'm a hypocrite because I'm now currently paying for Cody due to their integration with the new OpenAI o1-preview model. I find this model to be mind blowing and it's made me actually focus on the more mundane tasks that come with the job.
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