jimbokun

28 ms·

811.
by jimbokun 7mo ago
iOS had an API and a platform. Is there any equivalent for turning an AI LLM into a sticky platform? Right now seems like it’s pretty easy to use harnesses and tooling across models, including open weight and locally running ones.
812.
by jimbokun 7mo ago
I have appreciated Amodei’s brutal honesty about their intentions. On podcasts his attitude is basically “oh yeah all of you are basically fucked our products will take everyone’s jobs in a couple years.” Altman is a lot more coy and comes
813.
by jimbokun 7mo ago
Claude Code became the default brand for an AI coding harness, much like ChatGPT was synonymous with AI chat bot. Even now when I hear Codex I have to stop and think “oh yeah that’s OpenAI’s competitor to Claude Code.”
814.
by jimbokun 7mo ago
What you describe is the reason the web site you posted it on exists.
815.
by jimbokun 7mo ago
That’s the strategy of 20 years ago.
816.
by jimbokun 7mo ago
I assumed they had other use cases where vector search was required.
817.
by jimbokun 7mo ago
In their case it was competing with cloning an entire repo before starting a session which was taking 10s of seconds.
818.
by jimbokun 7mo ago
Isn’t this the approach described in the article?
819.
by jimbokun 7mo ago
Just like the approach in the article. Everything is based on the metadata stored with chunks, just allowing the agent to navigate that metadata through ls, cd, find and grep.
820.
by jimbokun 7mo ago
Meanwhile, failure to clean up this particular mess was a key factor in losing a trillion dollars in market cap, according to the author.
821.
by jimbokun 7mo ago
I’m a developer and if a team spent five months only refactoring with zero features added I would fire you too. Refactoring and quality improvements must happen incrementally and in parallel with shipping new features and fixing bugs.
822.
by jimbokun 7mo ago
It can but more often it’s the opposite. Code that’s hard to write tests for tends to be code that’s too tightly coupled and lacking proper interface boundaries.
823.
by jimbokun 7mo ago
Simple ain’t Easy - Rich Hickey
824.
by jimbokun 7mo ago
You don’t have to limit the transforms you offer users to just the core ones. But for your own sanity you can implement the none core ones in terms of the core ones.
825.
by jimbokun 7mo ago
For one thing it gives users of your library fewer concepts to learn.
826.
by jimbokun 7mo ago
I really appreciated this overview of when to use an IDE vs an ADE: https://ctx.rs/ade-vs-ide TLDR: use an ADE if you need multiple agents working concurrently on your code base. Otherwise IDE with an agent plugin is proba
827.
by jimbokun 7mo ago
You still have many people consuming and not producing, and much fewer people producing. Capitalism or socialism doesn’t change that.
828.
by jimbokun 7mo ago
Remarkable to combine early Unix contributions and inventing new refrigerants in a single career.
829.
by jimbokun 7mo ago
What system works better when you have a very large number of elderly people who want to retire and very few young people to work?
830.
by jimbokun 7mo ago
What if the generated app is sending your sensitive information back to Anthropic?
831.
by jimbokun 7mo ago
According to the comment I replied to you have to make the product VCs think will make VCs the most money, even if that’s at odds with what your customers are telling you they want.
832.
by jimbokun 7mo ago
So that sounds like Claude Code is an inferior subset of Cursor. That Cursor can work like Claude Code, but Claude Code is lacking Cursor’s editing capabilities.
833.
by jimbokun 7mo ago
Why? Reading diffs is an inescapable skill, needed for evaluating any kind of PR. This just makes it more interactive. I just use Copilot with VS Code, but my flow is to just ask Claude to make a change across whatever files it needs to to
834.
by jimbokun 7mo ago
Why? Are you saying they can’t compete with VS Code in the semi-automatic space?
835.
by jimbokun 7mo ago
You know, it’s stuff like this making me think maybe the anti capitalists have a point. A company makes a popular product customers like, but to satisfy the VCs the company must make a product the customers don’t like but could make the VCs
836.
by jimbokun 7mo ago
That is a very complex, high level use case that takes time to configure and orchestrate. There are many simpler tasks that would work fine with a simpler, local model.
837.
by jimbokun 7mo ago
What’s interesting about this is that for previous technologies you could define a standard and demonstrate compliance with interfaces and behavior. But with LLMs, how do you know switching from one to another won’t change some behavior you
838.
by jimbokun 7mo ago
I’m starting to wonder where the most is for any of these models. Sure they are not cheap to train. But if open weight models continue to be trained and continue to become available on cheaper hardware, how do dedicated AI companies protec
839.
by jimbokun 7mo ago
But at that point, won’t there be very few tasks left where the average user can discern the difference in quality for most tasks?
840.
by jimbokun 7mo ago
Some definitely do believe it’s a cure for their illness.

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