Vanclief

I support this pet theory, I tried out to reduce the output of Claude models with a "ADHD" prompt that made its responses small and to the point, but I could notice it degraded in performance as the session went on.

So I think what is going on is that because responses are part of the context window, those long/technical responses help it keep focus/attention.

While I like the self reflection from this article, I don't think his methodology adds up (pun intended). First there are two main axis where LLMs can make you more productive: speed & code quality. I think everyone is obsessed about the first one, but its less relevant.

My personal hypothesis is that when using LLMs, you are only faster if you would be doing things like boilerplate code. For the rest, LLMs don't really make you faster but can make your code quality higher, which means better implementation and caching bugs earlier. I am a big fan of giving the diff of a commit to an LLM that has a file MCP so he can search for files in the repo and having it point any mistakes I have made.

Exactly, I had the same issue when I was younger. I thought if I read code I could not understand was because the other dev was a legend. Now its the opposite, I am amazed by code that does its job well, its understandable and has low complexity.

Claude Code is my favorite way to use LLMs for coding.

However I feel what we really need is to have an open source version of it where you can pass any model and also you can compare different models answers.

(Aider and other alternatives really doesn't feel as good to use as Claude Code)

I know this is not what anthropic would want to do as it removes their moat, but as a consumer I just want the best model and not be tied to an ecosystem. (Which I imagine is the largest fear of LLM model providers)

Stars are just a signal. When I am looking at multiple libraries that do the same, I am going to trust more a repo with 200 starts that one with 0. Its not perfect, but I don't have the time to go through the entire codebase and try it out. If the repo works for me I will star it to contribute to the signal.

Where did you get the data that there has never been a profitable one? Not calling you out, but curious of where you are getting this data.

I would expect that there have been multiple nuclear power plants that provide a net positive return, specially on countries like France where 70% of their energy is nuclear.

The comparison isn't even close. TikTok's relationship with the Chinese government is well-documented, not "supposed". They are legally required to share data under China's National Intelligence Law. The Chinese government has also a track record of pushing disinformation and find any way to destabilize Western democracies.

Douyin (The Chinese Tiktok version) limits users under 14 to 40 minutes per day and primarily serves educational content, while TikTok's algorithm outside China optimizes for maximum engagement regardless of content quality or user wellbeing.

US tech companies pursuing profit at the expense of user wellbeing is concerning and deserves its own topic. However, there is a fundamental difference between a profit driven company operating under US legal constraints and oversight, versus a platform forced to serve the strategic interests of a foreign government that keeps acting in bad faith.

I am all for preventing teen pregnancy, but the data sounds more like young people can't afford having children so they are waiting longer.

Could you share with me the link of the profile you saw? I did work with Blockchain in the past but this current SaaS has nothing to do with that.

We recently applied to the current YC batch and got rejected. Seeing this just made me die a little inside.

We are a small SaaS that has very happy paying customers and a huge market. We solve a boring problem, with boring technologies and we are not the next OpenAI or Stripe. Yet we have easily a 10,000 X potential.

I feel like YC now prioritizes funding things that can be hyped more instead of actually funding things that can be solid software businesses.

If you are not a software engineer, you can't judge the correctness of any LLM answer on that topic, nor you know what are the right questions to ask.

From all my friends that are using LLMs, we software engineers are the ones that are taking the most advantage of it.

I am in no way fearful I am becoming irrelevant, on the opposite, I am actually very excited about these developments.

I strongly disagree with this statement, Golang is excellent for building backends and just the orchestration of all the services you are calling is better done in a typed/compiled language with great multi threading support and fast compilation times that is exactly what Golang excels at.