HN rank: 1

HN score: 113

comments: 46

original url: https://www.effort.news/uk-lobby

评论信号：> These NGOs have converged upon a unified strategy: use the rhetoric of ‘child safety’ to advocate for digital ID laws that would prevent adults from using the internet anonymously.Of course.Anyone who brings up kids is trying to manipulate you into giving up your freedom for security. Whatever argument they make should be simply ignored and dismissed. reply: Worth noting that there's no security in a system that abusively collects your data. That goes for children as well.

评论信号：HN has this guideline for comments:> Please respond to the strongest plausible interpretation of what someone says.If the same standard were applied for posts, this one would fail. I recognize that it is a popular perspective that these measures are essentially a war on anonymity, but that is not what they intend to fix, although it is quite possible that anonymity is a casualty of whatever war is at hand.I believe efforts to resist these measures would be more effective if they engaged with the problem: the modern internet is a harmful experience for young minds, beyond what any society should consider acceptable. I personally don't think shocking content is the worst of it. Algorithms that maximize engagement over enriching experience are a curse for any age group, and developing brains face the worst of it.Is age-gating the internet the right answer? Will it even help? Those are open questions that need discussion. Dismissing a genuine problem is choosing not to engage in the discussion. reply:...

评论信号：Digital ID is fully stalled in the UK. Will not happen in this parliamentary term, seems not that likely in the next.I’m sure the shining city on the hill can see off us perfidious Brits.

HN rank: 2

HN score: 40

comments: 7

original url: https://everycube.alen.is/

评论信号：My scroll wheel covers about 12 states per inch of travel. Did the stubby pencil work and it would take about 9.5 years to scroll through them all if the wheel surface was moving at the speed of light.

评论信号：Reminds me of that time when, as an undergraduate, my "team" entered a Problem Solving Competition and couldn't choose one of the two problems so we did both in parallel.One of us wrote a program in BASIC on a Tandy 1000 that the rest of us estimated would take more than a google years to finish, but he wasn't be dissuaded and let it run the whole weekend.I made an analysis that was mostly correct but was off by a factor of four because I mistook a radius for a diameter.

评论信号：Wow, this was really fun to play around with! Amazing execution and launch!Quick feedback: it’d be great if the page updated when the URL changes, so you can explore different positions without reloading.Right now, if I change the URL/hash of the cube position (eg: incrementing by 1 https://everycube.alen.is/?view=3d#5319001606686939024 ), the app doesn’t update and I have to open the new URL in a separate tab to see the new position. [Chrome 150 on Mac OS X 10.15.7]

HN rank: 3

HN score: 160

comments: 73

original url: https://cactuscompute.com/needle

评论信号：This is cool. I definitely think the "micro" sized LLM space is underappreciated, so it's always good to see work like this. I foresee a paradigm in some contexts where you have a hierarchy of LLMs, with more competent models actively training smaller models to solve specific tasks very efficiently, and something like this could be the smallest layer in that stack.With that being said, the web demo is not particularly impressive. It really doesn't like anything I throw at it. I'm fine with accepting that fine-tuning is the solution to this, but I wonder if there's anything to gain from a bigger model? I know it's completely counter to the whole point of this, but a 14MB binary using 28MB of RAM seems unnecessarily small and pretty arbitrary.Like, what does a 28MB binary get you? Or a 140MB binary? Or a 1.4MB binary? I'm guessing the choice of 14MB came from minimizing the size as much as possible while meeting certain requirements/performance expectations, but even a Pi 5 has plenty more room to spare. Curious if there's a good explanation for this (which I may have missed in my skim of the post). reply:...

评论信号：My first query:> Make it a little warmer in here.The reply:> "name": "set_thermostat",

"arguments": { "temperature": 65, "mode": "cool", ... "reasoning": "'warmer' implies need for cooling; set_thermostat with temperature 65 (typical warmth) and mode 'cool'.",Maybe I'm doing it wrong? reply: It's not a conversational model. It's meant as a local tool calling model.

评论信号：Funny result from the web demo. I'm well aware that it's an extremely small and, well, stupid, model, but even so:Query: HNResult:{ "function_calls": [ { "name": "lock_door", "arguments": { "door": "front door" } } ], "reasoning": "User wants to lock the door. No specific door mentioned, so use 'front door' as default.", "confidence": 0 }I'd expect it to at least ignore (call no tools) for the queries that it doesn't understand. And it seems like it does do that, just not consistently. reply: The website says the model is for "tool calling, device use, and structured extraction". Your example just doesn't seem to be very relevant. FWIW, it did a pretty good job for tool calling when I tried it, and I think it could be pretty nice to have this running on locally and integrate with Home Assistant.

HN rank: 4

HN score: 1026

comments: 573

original url: https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model

评论信号：Will be interesting to see how Qwen3.8 27B compares against this once it releases this week. Seems like dense 30B is back in fashion?EDIT: An open weight version of Muse Spark 1.2 is going to be released as well:https://x.com/alexandr_wang/status/2086756152034066792https://xcancel.com/alexandr_wang/status/2086756152034066792 reply: Based on the benchmarks, it seems that Muse Glimmer barely edges out against Qwen3.6 27B, except for tool-calling skills (MCP, etc.). I wouldn't be surprised if they released it now because they are afraid they wouldn't beat Qwen3.8 27B.

评论信号：Remember when we needed 200 servers for an enterprise website because Apache used one process or thread per connection - and Nginx collapsed that into a single box overnight? That moment for LLMs is near. It’s going to move us from the big iron era of AI to small portable brains. Nature has already proved it’s possible with 20 watts and very little heat generation. And I think the data center buildout will end in carnage. reply: Side note! Nginx was by no means the first web server to use a non-forking mechanism, nor the first open source web server to do so. Certainly Zeus (which was closed source) was earlier and very useful in this sort of application, and so was thttpd (open source, still exists as Merecat). I used thttpd quite a bit for single box applications and at one of my employers, nginx replaced a mixed strategy with Zeus, Apache and thttpd (and we tested one other whose name I can’t recall).Non-forking httpd servers using select() were a popular little coding challenge for a while in the 90s....

评论信号：https://xcancel.com/finkd/status/2086755195535413696"... Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model..."This is bigger news - good for self hosting enthusiasts and a strategically sound move for Meta. Any push towards 'anti Chinese' models will directly benefit Meta as the competition on the frontier open-weights American models is almost non-existent. Meta will have no problem being #1. reply: Yeah, but if it's huge, how many can run it? Many folks struggle to run 200B+ models

HN rank: 5

HN score: 29

comments: 6

original url: https://resobscura.substack.com/p/the-mechanical-miracle-that-ruined

评论信号：I wish it talked more about how the machine actually worked. It seemed pretty simplistic and glossed over most of the details .

评论信号：I thought this was going to be about Nikola Tesla's vibration machine that made Clemens shit himself reply: That didn’t ruin his life, merely his shorts.

评论信号：Classic angel investor mistake, too much allocated to one investment. Gotta diversify. More smaller checks.