m0rde

Fable 5: Reasoned so long it exhausted the output budget before finishing the drawing.

Lol

* Grok 4.5 has an advantage on CursorBench: an earlier snapshot of the Cursor codebase was unintentionally included in training. The exact score impact is unclear. That data has been removed for future models. For a rundown of third-party benchmark scores, see the Grok 4.5 launch blog.

I don't know about those numbers, even assuming this was by mistake :)

Mighty Squirrel is at Gore place for the summer...

Okay, maybe that's beer and closer to Waltham =P

Yeah. I get that many HN comments are just complaints (heck mine was too and just as negative and shaming). But how bad of a day must you be having to try to shame someone about how they choose to write up an experience they thought was neat. Whatever, free speech and all that. Hope OC's day gets better.

What a difficult world you must live in these days

From the post:

If you care about how your content moves through the world now, including through AI systems, you have to care about caching. Not as a performance optimisation for human browsers, but as infrastructure for machine readership.

If a comment just mentions Opus without being more specific and in the absence of relevant context clues, it gets mapped to Opus Latest

Consider keeping this data point but instead calling it something like "Opus Unspecified". Let the user decide how to interpret it.

New technology isn't perfect now -> drop technology and never use it in the future

I think about what I do in these verbose situations; I learn to ignore most of the output and only take forward the important piece. That may be a success message or error. I've removed most of the output from my context window / memory.

I see some good research being done on how to allow LLMs to manage their own context. Most importantly, to remove things from their context but still allow subsequent search/retrieval.

Feedback loops are important to agents. In the article, the agent runs this build command and notices an error. With that feedback loop, it can iterate a solution without requiring human intervention. But the fact that the build command pollutes the context in this case is a double-edge sword.

July 2025, then posts a few days later :) maybe he just meant done with the startup life and kept blogging. Hope you find that stability.

The noticeable spike [~20 percentage points] in May in the figure above [tool invocations] was largely attributable to one sizable account whose activity briefly lifted overall volumes.

The fact that one account can have such a noticeable effect on token usage is kind of insane. And also raises the question of how much token usage is coming from just one or five or ten sizeable accounts.

Good points here, particularly the ends not justifying the means.

I'm curious for more thoughts on "will drive more and more people out of jobs”. Isn't this the same for most advances in technology (e.g., steam engine, computers s, automated toll plazas, etc.). In some ways, it's motivation for making progress; you get rid of mundane jobs. The dream is that you free those people to do something more meaningful, but I'm not going to be that blindly optimistic :) still, I feel like "it's going to take jobs" is the weakest of arguments here.

Many people would not have found this cleaner without Googling, reading reviews, etc. While that may not be an ad directly, it's part of the marketing budget. So what needs to change?

This is cool. I'm interested in reading more on this concept. Any chance you have a write up of experiences so far? Or can you point to other resources?

This looks fun, thanks for sharing. Will definitely give it a shot soon.

I read over the repo docs and was amazed at how clean and thorough it all looks. Can you share your development story for this project? How long did it take you to get here? How much did you lean on AI agents to write this?

Also, any plans for monetization? Are you taking donations? :)

Have you tried giving it tests? Curious if you found they made things worse.

Really well written README :)

I've never used Claude Code or other CLI-based agents. I use Cursor a lot to pair program, letting the AI do the majority of the work but actively guiding.

How do you keep tabs on multiple agents doing multiple things in a codebase? Is the end deliverable there a bunch of MRs to review later? Or is it a more YOLO approach of trusting the agents to write the code and deploy with no human in the loop?

Customer support lines/banks/etc must shift their opening hours slightly so that they are open outside of business hours, so that working people can use their services

How would customer line/bank/etc workers ever get help with these services?

Is there an example we can see?

Original post: https://x.com/sama/status/1899535387435086115

Great idea, congrats. Can you speak a bit about the the validation piece? Were LLM hallucinations an issue and required this? Are you using some kind of structured output feature?

Any chance of a demo you can show?

Submission links to Microsoft announcement post.

More interesting Nature article at https://www.nature.com/articles/s41586-025-08600-3

Article includes a video showing usage in the Supplementary section: https://static-content.springer.com/esm/art%3A10.1038%2Fs415...

Hugging Face page: https://huggingface.co/microsoft/wham

Link to their blog post: https://www.perplexity.ai/hub/blog/open-sourcing-r1-1776

Would you elaborate on why counting braces is different from counting spaces to determine hierarchy? Or is it more about the repetition of higher levels keys in chunks (which could be done in JSON)?

He's not actually making that point.

In this kind of an environment, most of the technical people you are hiring are your “programming language feeders”.

These are people who take the logic from you. They do not determine the logic.

And they will translate it into a language that the computer understands. AI can naturally do that, which is why non-technical people who get exposed to the coding abilities of an LLM get so super excited. You know, like, “oh, I have found my technical co-founder”. If your technical co-founder was doing this, you were anyway screwed.

Was just thinking about the lack of undo/redo in a complex web app we're building involving ling-running APIs and DB transactions. What are some other undo/redo TypeScript libraries out there.

For Oops particularly, I think TS interfaces for commands would help quite or lot here. Or maybe even annotations or decorators?

What's a continuous ssh banner script?