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Love seeing the two example OS binaries side-by-side. Even though I don't know exactly what their differences mean, I feel like I'm getting a good impression of their "Gestalt." Thank you for sharing!


imho Nikita did a good job and I wish he stayed on.

Twitter is 100% better now than a year ago. For one, I haven't gotten a single bullshit click-farm fake-ass sock-puppet follower in months. Secondly, I see very few low-effort reply guys lately, human or otherwise.


Are you paying? I see an endless stream of AI or bot-like posts in the replies of basically every tweet I see with any traction, but i'm not a paying user so I may have the bad version of the platform.


Same. I just skip verified posts because the ones at the top are LLM replies. Unless I'm missing something, that should be easy to detect. Instead I've got ghost banned for a week+ now, no reason given and no way to appeal. X now is the place if you want to check for yourself the dead internet theory.


Ah, yes! Should have mentioned. I am a paying Premium customer.


There's has been a noticeable improvement in bots for me since the new Android app rolled out a few weeks back.

Not exactly sure how that changed anything but I see a lot less bot slop now.


I'm a supporter of X but even I admit I see non-stop AI bot comments


What's the good part of X


That's been my experience too. I left twitter a few years ago, but when I created a new account (only following AI and startups and people MAKING things, and movie and show clip accounts), it's been so awesome to keep track of all the stuff going on.


I'm aldo using x more than ever. I nearly stopped in the 2019-2021 era, always confused when people are complaining about it these days.


> always confused when people are complaining about it these days

The biggest complaint I've heard is about the owner and how he's using X as a megaphone.


[flagged]


"I don't see bots on Twitter anymore" "I keep seeing LLM content all the time" How is one of these a "lower effort opinion"?


I agree very much. I'm getting the same take-away even more now that I'm using autoresearch as my main strategy.

And I wonder: We've got all these amazing (programming) languages to define solutions; where are the languages to clearly define the problems?


Amazing! I've been in a similar autoresearch-y rabbit-hole lately with getting Apple's 3B Foundation Model to match Sonnet 4.6 on a very specific task.

The result was: 90% parity achieved with a weird combination of a fine-tuned adapter + 1 deterministic step.

I wrote the whole thing down here: https://alexisrondeau.me/tada/research/FMDiscovery/dashboard... which includes the question, the answer, the 96 experiments and their lineage etc. etc.


> I wrote the whole thing down here

I like the idea, but it looks really hard to read. Try reading it top to bottom without skipping.


Oh, thank you for noticing.

Is it a layout issue for you (it lays out better on desktop) or the language of the text or...? Let me know!


The main issue is the amount of information I have to go through to understand what I'm looking at. It's one of the side effects of writing with AI. Because it sees all tokens at once, it doesn't realize a reader might have no clue at all. What I recommend is trying to reduce the entire thing in 1-2 paragraphs that you wrote yourself. Cleaning up unnecessary prose and tucking away data that not everyone might be immediately interested in.


Yes and it also reminds me of one of my favorite books, Andreas Wagner's "Arrival Of the Fittest" and, connected, the Miller-Urey experiment of course.

https://www.goodreads.com/en/book/show/20821275-arrival-of-t...

https://en.wikipedia.org/wiki/Miller%E2%80%93Urey_experiment


Thank you, that was perfect Sumday-morning reading: Easy to read yet dense information-wise.

I learned today: The difference between ttf and otf, what strong and weak characters are, what an Em is and where kerning and leading really come from.

My favorite parts: Learning where the magic of ligatures and those tiny postion-changes in moments like "To" come from.

Upvoted and favorited!


Thank you for sharing.

As someone who also recently spun up a new VPS to fiddle with claws:

I personally fully support Hetzner on this because, as a on-and-off customer since 21 years, their service has been absolutely flawless and always worth every cent. They care so I'm totally happy to pay whatever they need to make it work for them, too.


I actually think you're right here.

Resource constraints have often helped me come up with stuff that I'm actually proud of.


Absolutely. It's why I find working on a microcontroller with 1KB of memory so much more rewarding than, say, a Raspberry Pi.


Super cool. Any indication if sandboxes can/will be part of the non-desktop docker tooling?


PS: Also, this is wild!

> What this does: apiKeyHelper tells Claude Code to run echo proxy-managed to get its API key. The sandbox’s network proxy intercepts outgoing API calls and swaps this sentinel value for your real Anthropic key, so the actual key never exists inside the sandbox.


This is similar to how I solved a BYOK(bring your own key) feature at work. We had a lot of hardcoded endpoints and structures on the client and code that was too difficult to move over a nice BYOK structure within the given timeframe. So we ended up making a proxy that basically injected customer keys as they passed through our servers. note that there are a lot security implications doing this.


Makes total sense and I would have never even considered injecting keys on the fly. Love it!


This is similar to Deno Sandbox[1] which was announced a couple of weeks back. Apparently also something similar is done with fly.io's tokenizer[2][3]

[1]: https://deno.com/blog/introducing-deno-sandbox

[2]: https://news.ycombinator.com/item?id=46874959

[3]: https://github.com/superfly/tokenizer


Related: Huge fan of Long Now here.

Asking "How would you build a 10k year clock?" is one of my favorite ways to get to know people, say, at parties.

With a few seconds to mull it over, so far EVERYONE has had at least one strong, novel and leftfield idea that I had not heard or thought of before.

My favorites included: A mirror on the moon, bio-engineered crops and the Pyramids of Gizeh.


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