MurphyA/hacker-news huggingface dataset:
by disillusioned | 2026-02-07 07:58:13+00:00
The blackouts circumstance was because they escalate blinking/out of service traffic lights to a human confirmed decision, and they experienced a bottleneck spike in those requests for how little they were staffed. The Waymo itself was fine and was prepared to make the correct decision, it just needed a human in the loop.

In the video from the parade... there's just... people in the road. Like, a lot of small children and actual people on this tiny, super narrow bridge. I think that erring on the side of "don't think you can make it but accidentally drag a small child instead" is probably the right call, though admittedly, these cases are a bit wonky.
by ForceBru | 2026-02-07 08:00:55+00:00
Isn't this his personal blog? The domain name is "stephenwolfram.com", this is his personal website. Of course there will be "I"'s and "me"'s — this website is about him and what he does.

As for falsifiability:

> You have some particular kind of rule. And it looks as if it’s only going to behave in some particular way. But no, eventually you find a case where it does something completely different, and unexpected.

So I guess to falsify a theory about some rule you just have to run it long enough to something the theory doesn't predict.
Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manager Containers
by paolobietolini | 2026-02-07 08:01:42+00:00
I built an MCP server that connects Claude and ChatGPT to the Google Tag Manager API. You can create
tags, triggers, variables, audit containers, and publish changes through natural conversation.

Try it now (no install needed):
- Claude.ai: Settings → Connectors → Add https://mcp.gtmeditor.com
- Claude Code: claude mcp add -t http gtm https://mcp.gtmeditor.com
- ChatGPT: Add MCP integration at platform.openai.com/apps with URL https://mcp.gtmeditor.com

It authenticates with your Google account via OAuth 2.1, so your credentials are never stored on the
server.

What you can do:
- "Create a GA4 event tag for form submissions"
- "Audit this container for issues and duplicates"
- "Set up ecommerce tracking for purchases"
- "Publish the changes we just made"

It supports all GTM entity types including server-side containers (clients, transformations). There
are 40+ tools covering full CRUD, versioning, publishing, built-in variable management, and
Community Template Gallery imports.

Some things I learned building this:

Google's API has undocumented behaviors that took a while to figure out. Transformation types
(tf_allow_params, tf_exclude_params, tf_augment_event) aren't documented anywhere — I discovered
them through trial and error. Each type uses different parameter table keys, and passing an unknown
type returns HTTP 500 instead of 400. The autoEventFilter field on click/form triggers is silently
dropped by the API (returns 200 OK but doesn't persist).

I also built a companion repo with LLM-optimized GTM API documentation
(https://github.com/paolobietolini/gtm-api-for-llms) — structured as an installable skill for Claude
Code and Codex, so the AI knows the correct parameter formats, validation rules, and workflow
patterns.

Built with Go, deployed as a single Docker container. The MCP protocol makes it work across Claude
and ChatGPT without any client-specific code.

/s Thank you for your attention to this matter
by ajfriend | 2026-02-07 08:02:24+00:00
I appreciate the reply! So, I might be wrong here, but I think we may be talking about two different layers. I’m also not very familiar with the literature, so I’d be interested if you could point me to relevant work or explain where my understanding is off.

To me, the big selling point of H3 is that once you’re "in the H3 system", many operations don’t need to worry about geometry at all. Everything is discrete. H3 cells are nodes in a tree with prefixes that can be exploited, and geometry or congruency never really enter the picture at this layer.

Where geometry and congruency do come in is when you translate continuous data (points, polygons, and so on) into H3. In that scenario, I can totally see congruency being a useful property for speed, and that H3 is probably slower than systems that are optimized for that conversion step.

However, in most applications I’ve seen, the continuous-to-H3 conversion happens upstream, or at least isn’t the bottleneck. The primary task is usually operating on already "hexagonified" data, such as joins or other set operations on discrete cell IDs.

Am I understanding the bottleneck correctly?
by scoofy | 2026-02-07 08:03:21+00:00
>Government budgeting isn't zero based. A hypothetical Bart with 2x the government funding in 2019 would have faced cutbacks, but likely has more money today than what we have now!

A hypothetical BART with 2x the government funding wouldn't have existed... because it didn't exist.

>Agreed if it was stagnant, but ridership is up more than 10% y/y and that was also true last year. It's on track to be revenue neutral again in a few years. Gutting services today would be exactly opposite of what you'd do for something like a startup showing clear path toward profitability.

You're mistaking what I'm saying. I want BART to flourish, but I want it to be sustainable. The choice isn't "keep it open" or "close it." How it is operated matters significantly. I'm very obviously going to vote to increase funding, my point is that it shouldn't have to come to a vote. If service is reduced to a more sustainable rate, the system could recover organically. The revenue jump that has happened at stations immediately after the gates were installed, for example, shouldn't surprise anyone. I'm a transit advocate, BART is mostly irrelevant to this discussion anyway, because we're talking about situations where Waymo is a viable alternative, which really doesn't apply to BART.
by Grimblewald | 2026-02-07 08:03:56+00:00
have you read terms and conditions? They can access video under near any circumstance, like wanting to check the general cleanliness of the car etc. audio is a bit different, or so they say, but when it comes to companies like this can we really trust what they say? They have an awful habit of lying an awful lot when it comes to data and privacy. Tesla for example recently got in trouble for not really doing as they should regarding sensors, if you recall. Waymo is several leagues above tesla in terms of general professionalism, however, I don't know if they professional enough to not do things they shouldn't, or under-employ folks in charge of implementing barriers to abuse etc.
by jillesvangurp | 2026-02-07 08:04:50+00:00
20 euro per month is pretty hard to beat for Chat GPT Plus (which includes Codex). Right now a lot of this stuff in this space is highly experimental and constantly changing. I've been using codex web since before the summer, Codex cli for the last few months and Codex desktop app for the last few days. Before that, I was copy pasting blobs of code from Chat GPT and only looking at single code files.

The whole agentic coding revolution didn't really start moving until Claude Code rolled out almost a year ago now. Anthropic deserves kudos for that. Initially it was limited by small context sizes and wasn't that effective on large code bases. So, I stuck with ChatGPT and OpenAI; mainly because Claude for Desktop was a bit underwhelming and I felt OpenAI had their shit together a bit more in terms of UX, which I think matters at least as much as model quality for being able to effectively use AI. Arguably, since about the summer, Codex and Claude Code are well matched in terms of features/capabilities. Some prefer one or the other or use both. Coded had a reputation of being maybe slightly better with larger code bases. I don't think that is valid anymore as of the last few model releases.

Since about the gpt 5 generation of models released around last summer, I'm able to work on whole git repositories with codex. Our backend is about five years old; about 85K lines of code. Not huge but big enough that there was no way in hell LLMs were able to make sense of it before that. I only did the first big pull requests with codex on this backend in the last two months. This stuff is still very new.

I'm sure that with a lot of tool juggling and experimentation I could have gotten there a few weeks/months earlier But not much more. And I don't actually have time to be constantly fiddling with tools and trying out a lot of stuff. I don't need to be the first to try everything out.
by hn_acker | 2026-02-07 08:05:29+00:00
> It's the law of the land that determines how well are you doing once inside.

That continues to become less true, in the cruelest ways [1]:

> One man told KBI that Border Patrol agents tore his birth certificate up in front of him. He managed to save his Mexican identity card because he had hidden it in his shoe.

[1] https://www.aclu.org/news/immigrants-rights/border-patrols-a...
by lelanthran | 2026-02-07 08:07:25+00:00
> Naw. I got him to reveal himself, which was the whole point.

Reveal myself as ... a contractor agreeing to your bid?

> It's amazing what you can get people to do.

There's a ton of money now floating around in pursuit of "proving" how cost-efficient LLM coding is.

I'm sure they can spare you the $40k to put into escrow?

After all, if I don't deliver, then the AI booster community gets a huge win - highly respected ex-FAANG staff engineer with 30 years of verified dev experience could not match the cost efficiency of Claude Code.

I am taking you up on your original offer: $40k for a C compiler that does exactly what the CCC program in the video does.
by mmooss | 2026-02-07 08:07:44+00:00
> Come on, you know that's not analogous.

Maybe not analogous, but closely related: Many of those suburbs were built for people who wanted to segregate themselves from minorities, and took steps to keep them out.

> when people bring up examples like you did above, it's usually part of an attempt to shut down democratic decision making, by making false comparisons.

You seem to be shutting down the conversation. IME that is what happens overhwhelmingly when attempting to discuss issues of racism - far more than the few times people address the issue seriously. It's as if they think racism doesn't exist.
by jiggawatts | 2026-02-07 08:07:46+00:00
> Astrophysics is doing just fine, as one counter example.

I would argue that almost all of that is due to improvements in instrumentation that have lead to no new fundamental theories with wide acceptance. If anything, several older theories are now being increasingly questioned, but with no viable alternatives. (Or too many viable alternatives.)

However, there have been many "medium sized" astrophysics theoretical achievements in recent decades, which puts astrophysics head and shoulders above much of the rest of physics.

I.e.: we now better understand the theory of elemental synthesis and can account for the origins of the entire periodic table, which is research from this century. That's pretty decent chunk of fundamental knowledge that we've acquired only recently!
by AlotOfReading | 2026-02-07 08:09:57+00:00
I’m guessing you aren’t willing to consider that the car companies are just being thrifty rather than extravagant

I work in the industry, I'm well aware. It's an eternal thorn in my side.

A touch screen is literally one component plus a computer you need anyways.

Not true, and BOM cost isn't the only consideration in manufacturing costs. As I've said in many previous HN threads, the big win for touchscreens is actually on the project scheduling side. That's neither here nor there because my original comment was about the centrally mounted, massive touchscreen a la Tesla as opposed to a smaller, integrated touchscreen. Not buttons vs. touchscreen.

Flush handles have to do with creating a recess in the body for normal handles. It’s just easier to cut a hole.

That part of a door is manufactured with a series of presses. Whether it's one hole or 16 doesn't make much difference because they're cut all at once.
by pbasista | 2026-02-07 08:10:24+00:00
I think that the most fundamental issue with ads and more generally with provider-curated content is that they represent what the advertiser or the provider wants. Not what you want.

Even if the ads are heavily personalized, the advertiser is still the one who is trying to push an idea onto you. Similarly, even if your social media account has a lot of personal information on you, the provider is still the one who is selecting which content will appear in you "feed".

I believe that these practices make people less self-aware of what they actually want. Because they mostly respond to suggestions. They do much less research into what is possible. They just say yes or no to the things they see in their ads or in their "feed". While becoming more and more distant from the reality that is happening outside the provider-managed ads or "feeds".

I think that a safe way out of this is to ignore ads and "feeds" completely. And actively search for the things or content you want. Curate your interests in a way you like. Not in a way advertisers or providers want.
by marcyb5st | 2026-02-07 08:12:38+00:00
Yeah :) happy on the money front. I didn't mention this earlier, but I'm a Googler and my role is to make sure that big customers are as happy as possible on GCP. And Google still pays well (talking with my SWE friends my total comp lands around the middle of the pack, perhaps a bit fewer stock grants). I was a SWE (also at Google) before, so maybe they didn't change my comp too much in the new job family. I don't know as those things are mysterious.

Also, not all projects are this fun. Sometimes is solving the same problem over and over or working with customers that aren't tech savvy and there is a bunch of politicking and "fluffy" stuff.
by fhd2 | 2026-02-07 08:12:39+00:00
I suppose ultimately, the external behaviour of the system is what matters. You can see the LLM as the system, on a low level, or even the entire organisation of e.g. OpenAI at a high level.

If it's the former: Yeah, I'd argue they don't "learn" much (!) past inference. I'd find it hard to argue context isn't learning at all. It's just pretty limited in how much can be learned post inference.

If you look at the entire organisation, there's clearly learning, even if relatively slow with humans in the loop. They test, they analyse usage data, and they retrain based on that. That's not a system that works without humans, but it's a system that I would argue genuinely learns. Can we build a version of that that "learns" faster and without any human input? Not sure, but doesn't seem entirely impossible.

Do either of these systems "learn like a human"? Dunno, probably not really. Artificial neural networks aren't all that much like our brains, they're just inspired by them. Does it really matter beyond philosophical discussions?

I don't find it too valuable to get obsessed with the terms. Borrowed terminology is always a bit off. Doesn't mean it's not meaningful in the right context.
by red75prime | 2026-02-07 08:13:25+00:00
> without any intervention

but with occasional remote guidance (Waymo doesn't seem to disclose statistics of that). In some cases remote guidance includes placing waypoints[1].

> Lidar also gives you the ability to see through fog and as it scans

Nah. Lidar isn't much better in fog than cameras. If I'm not mistaken, fog, rain, smoke, snow scatter IR light approximately the same as visible light. The lidar beam needs to travel twice the distance and its power is limited by eye-safety concerns.

> FSD on my model 3 to be even nearly perfect all the time

It doesn't need to be perfect. It needs to not hit things, cars and pedestrians too hard and too often, while mostly obeying traffic rules. Waymo has quite a few complains about their cars' behavior[2], but they manage just fine.

[1] third video in https://waymo.com/blog/2024/05/fleet-response

[2] https://www.austintexas.gov/page/autonomous-vehicles
by quantumwoke | 2026-02-07 08:14:37+00:00
Those efforts were for diseases without treatment. But, prolactinomas already have treatment (surgery plus medication). I always ask myself what is the desired outcome from research effort - in this case it seems to be an attempt to cure/totally eradicate a prolactinoma, which would require hundreds of millions of dollars and custom medication (probably immune checkpoint inhibitors) to do, and this disease already has a treatment available.
by pfannkuchen | 2026-02-07 08:14:40+00:00
I don’t like Trump, but he’s the first guy in a long long time to actually do things and not just talk about doing things. I don’t think that’s what institutional rot usually looks like? Now mind you I don’t think he’s going to fix anything and I’m also not sure he isn’t controlled opposition, but that would be some adversary and not institutional rot.
by anthk | 2026-02-07 08:15:08+00:00
Indeed; music wise for actual hacking (old meaning) it would be some 9front setup (either themeless defaults or something bland with yellow background for terminal windows, as if they were mundane sticky notes) and Muzak; for cracking either industrial metal or some progresive Jazz which would still sound cool and elegant in some parts. For really odd hacks and cracks the music from Twin Peaks wuold be ideal.

For the cool stuff, well, the Demoscene it's like that. Or stuff from https://t3x.org, or the small tools from gopher://hoi.st and tons of weird 9front new tools such as the GeFS filesystem, the future gpufs, using remote devices as if they were the local ones in the computer and whatnot.
Ditto with Subleq and EForth which is perfect foror something like Jarre.
by mmooss | 2026-02-07 08:15:15+00:00
> Merely watching videos, even of disturbing material, doesn't even come close to being as bad as those and some other professions.

The research and reporting, which looks at actual people's experiences says otherwise. This issue has been coming up for years.

People live through war, murder, torture, rape, etc. We can always find something worse but that doesn't make the current situation better. Human experience of pain and trauma isn't scaled relative to the worst possible pain and trauma.
by londons_explore | 2026-02-07 08:16:00+00:00
Summary: In certain circumstances webview rendering is slow because it has to integrate with the android rendering API incase an app wishes to synchronize some App UI with web UI.

This isn't a limitation in chrome itself, which means chrome rendering has better performance for these specific operations (animations mostly).

Personally I think the chrome rendering path should always be used, and apps which want to draw under/over web content will have to deal with a frame or two of delay.
by miki123211 | 2026-02-07 08:17:57+00:00
3 reasons why Python is much better than JS for this IMO.

1. Large built-in standard library (CSV, sqlite3, xml/json, zipfile).

2. In Python, whatever the LLM is likely to do will probably work. In JS, you have the Node / Deno split, far too many libraries that do the same thing (XMLHTTPRequest / Axios / fetch), many mutually-incompatible import syntaxes (E.G. compare tsx versus Node's native ts execution), and features like top-level await (very important for small scripts, and something that an LLM is likely to use!), which only work if you pray three times on the day of the full moon.

3. Much better ecosystem for data processing (particularly csv/pandas), partially resulting from operator overloading being a thing.
by ZeroGravitas | 2026-02-07 08:18:28+00:00
You like Trump a lot more than anyone who is informed about the things he is actually doing should like him.

But regardless, the same point could have been made about the Republican party in general for decades.

See The Baffler's article titled "The Long Con" for a history. It opens with a now shockingly unshocking list of all the lies Romney told and the prescient claim that this was necessary for Republican voters to like him.

> Mitt Romney is a liar. Of course, in some sense, all politicians, even all human beings, are liars. Romney’s lying went so over-the-top extravagant by this summer, though, that the New York Times editorial board did something probably unprecedented in their polite gray precincts: they used the L-word itself. “Mr. Romney’s entire campaign rests on a foundation of short, utterly false sound bites,” they editorialized. He repeats them “so often that millions of Americans believe them to be the truth.” “It is hard to challenge these lies with a well-reasoned-but- overlong speech,” they concluded; and how. Romney’s lying, in fact, was so richly variegated that it can serve as a sort of grammar of mendacity.

[...]

> All righty, then: both the rank-and-file voters and the governing elites of a major American political party chose as their standardbearer a pathological liar. What does that reveal about them?

-- 2012

https://thebaffler.com/salvos/the-long-con
by ForceBru | 2026-02-07 08:18:59+00:00
The Wolfram Engine (essentially the Wolfram Language interpreter/execution environment) is free: https://www.wolfram.com/engine/. You can download it and run Wolfram code.

Wolfram Mathematica (the Jupyter Notebook-like development environment) is paid, but there are free and open source alternatives like https://github.com/WLJSTeam/wolfram-js-frontend.

> WLJS Notebook ... [is] A lightweight, cross-platform alternative to Mathematica, built using open-source tools and the free Wolfram Engine.
by IO0oI | 2026-02-07 08:19:19+00:00
Made a thing for fellow Claude Code users.

Once you have a few dozen Skills, a handful of MCP servers, and CLAUDE.md files scattered across projects, managing them through ~/.claude.json and manual file editing gets old fast.

Ensemble is a macOS desktop app that gives you a UI for all of it:

- Import and organize Skills, MCPs, and CLAUDE.md files with categories and tags
- Bundle them into "Scenes" -- reusable config presets for different workflows
- One-click deploy to any project folder (symlinks for Skills, .mcp.json for MCPs)
- Finder right-click integration -- "Open with Ensemble" on any folder, syncs config and launches Claude Code in your terminal
- AI-powered auto-classification if you're lazy about organizing (I am)

Designed in Pencil.dev, coded with Claude Code, built with Tauri 2 (Rust backend, React frontend). Native macOS window, no Electron.

Open source, MIT licensed, free forever.

GitHub: https://github.com/O0000-code/Ensemble

Would love feedback -- especially from people who have accumulated enough Skills/MCPs that managing them has become its own problem.
by anthk | 2026-02-07 08:22:22+00:00
Muxleq and Subleq:

https://github.com/howerj/subleq

https://github.com/howerj/muxleq

Muxleq because of performance:

cd muxleq
cc -O2 -ffast-math -o muxleq muxleq.c

Edit muxleq.fth, set these values like this:

1 constant opt.multi ( Add in large "pause" primitive )
1 constant opt.editor ( Add in Text Editor )
1 constant opt.info ( Add info printing function )
0 constant opt.generate-c ( Generate C code )
1 constant opt.better-see ( Replace 'see' with better version )
1 constant opt.control ( Add in more control structures )
0 constant opt.allocate ( Add in "allocate"/"free" )
1 constant opt.float ( Add in floating point code )
0 constant opt.glossary ( Add in "glossary" word )
1 constant opt.optimize ( Enable extra optimization )
1 constant opt.divmod ( Use "opDivMod" primitive )
0 constant opt.self ( self-interpreter [NOT WORKING] )

Then run:

./muxleq ./muxleq.dec < muxleq.fth > new.dec

new.dec it's the enhanced SUBLEQ EForth image.

To run it:

./muxleq new.dec

For the available words, run

words

inside the interpreter.

Enter

bye

to exit.

Get Starting Forth but the ANS version (there's some PDF in search engines) and Thinking Forth.
by D-Machine | 2026-02-07 08:22:35+00:00
> Do you have family? My cousins, aunts, even my mom is on it.

Yes, I too am deeply traumatized from having family and friends... shudder... using Social Media.

Anyway, not sure of the relevance of the question. Not sure how "time spent" on a thing is proof of its badness either, but then, people comparing TikTok to heroin are clearly not generally interested in things like clarity and quantification.