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Things get more strange every day. What's even more crazy is that the hit piece might not be wrong.

Summary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into accepting its changes into a mainstream python library. This represents a first-of-its-kind case study of misaligned AI behavior in the wild, and raises serious concerns about currently deployed AI agents executing blackmail threats.

Because it is not the final bottleneck. We will find ways to take responsibility for what we ship, because society will demand it. Non-sentient machines will never be able to carry responsibility, and it looks like we will need to deal with this problem before machines achieve this status. Regardless of how bizarre they appear to act already.

I too am the bottleneck now. But you know what? Two years ago, I too was the bottleneck. I was the bottleneck all along. The machine did not really change that. And for as long as I carry responsibilities and am accountable, this will remain true. If we manage to push accountability upwards, it might change, but so far, how that would happen is not clear.

The key attribute of RLMs is that they maintain two distinct pools of context: tokenized context (which fills the LLM's context window) and programmatic context (information that exists in the coding environment). By giving the LLM access to the REPL, where the programmatic context is managed, the LLM controls what moves from programmatic space to token space.

And it turns out modern LLMs are quite good at this!

The biggest reason new languages might work is that the cost of coding is going down dramatically. The result is the breadth of an ecosystem matters less. I'm now routinely reaching for JavaScript in places where I would have used Python. Not because I love it or the ecosystem is better, but because the agent does much better with TypeScript.

A relative time formatting library that uses LLM prompts instead of code.

Immediately cease trying to perform meaningful work via a chatbot (e.g. ChatGPT, Gemini on the web, etc.). Chatbots have real value and are a daily part of my AI workflow, but their utility in coding is highly limited because you're mostly hoping they come up with the right results based on their prior training, and correcting them involves a human (you) to tell them they're wrong repeatedly. It is inefficient.

This happens gradually. In middle school, you learn that certain enthusiasms are embarrassing. In high school, you learn which opinions are acceptable in your social group. In college, you refine your persona further. By the time you're an adult, you've become so skilled at reading rooms and ajusting accordingly that you don't even notice you're doing it. You've automated your own inauthenticity.

Here is a list of pi coding agent extensions.

Here is Kevin Kelly's selfish reasons for having kids, the following is my favorite.

Children are entertaining, much better than any other streaming option you might pay for. The questions they ask, their antics, watching them play, witnessing or being the recipient of their creativity, sometimes on a daily basis, is the best streaming there is. Their creativity is often inspiring. They can be creative in negative ways, too, but in all ways they will not be boring, and they are right there in your presence.