aero142

So, Claude claims a new discovery and then someone else's Claude writes the blog posts. It would be helpful if I could get Claude to read this for me and post dejected HN comments in response.

This is specifically targeting edge. Kinesis is single region AFAIK, so I think Kinesis and Kafka are very similar and K2 is built on their S3 equivalent to make it globally distributed.

I prefer luna for most development, especially when I am guiding the process. Sometimes terra. I have had terrible results coding with sol. It is way over-tuned on RL to make something that completes the task, no matter what. I end up with way too much code that does a lot of things I didn't ask for.

The code I see is a lot like the pelicans. All of the code in codebases, good, bad and ugly, is slowly being replaced by whatever level of code ai is currently able to create. All code is now a slightly wonky pelican on a bike, but if you look closely, it doesn’t fully make sense. Since ai is converging on less wonky, but not internally consistent, we’re just moving on to what is possible with high volume instead of detailed quality. I think that is the ai software world as well.

Software that had a data moat because it was hard to integrate with or migrate off of will have that moat disappear. A web site is a client now. Building data migration too for all of you competitors is easier now.

They will add flooded streets to the training simulation and this problem will go away. Eventually, the corner cases not in the training simulation will be so corner they basically never happen. Waymo can be incredibly successful without dealing with "surprise clown parade" or whatever.

Instagram is gone as well. Everything is fake in different ways. If the video isn't ai generated, then it's influencers acting out a scenario they think will get engagement. I realized that when it's a real video, there is a caption that says some scenario is happening, but there is nothing in the video that shows that is real. I think people are just reposting videos with different captions and testing out whatever invented scenario make the video have the most views.

If had to answer this question 2 years ago, I wouldn't have said software was a "don't see it's bad until later" category, with compilers and it needing to actually do something very specific. However, business slides are full of exacting facts and definitely never contains generic business speak masquerading as real insight /s.

This feels like telling a story after the fact to make it fit.

Yes. They probably are, but it's moderately hard to eat a healthy vegetarian diet if you look at what vegetarian athletes actually eat.

If llms are able to write better code with more declarative and local programming components and tailwind, then I could imagine a future where a new programming language is created to maximize llm success.

If a company can align it's business model with user goals, then it can work in the long run. Apple has somewhat aligned it's integrated hardware sales business model with user privacy. Google and Meta are advertising companies and capturing user data and attention will always drive the business.

I humbly submit '1ndex' and 'ind0x', or '1dx' and 'i0x'.

The selling point software that monitors social media to do support is about brand reputation. If people are saying bad things about your company on social media, then that is hurting your public image, so you should respond to those issues and make sure they get resolved. In practice, this means that the people responding are less likely to be outsourced because the the funding is more than just a support cost. In practice, this means you can often get better support through Twitter than email.

Are there any successful models that weren't trained with RLHF, or using a system with RLHF. I'm curious if this could be done without a fine tune step that would't meaningfully bias this.