MurphyA/hacker-news huggingface dataset:
by calrain | 2025-07-11 06:32:05+00:00
It is amazing, cringe all you want :)

I scoped out a body of work and even with the AI assisting on building cards and feature documentation, it came to about 2 to 4 weeks to implement.

It was done in 2 days.

The key I've found with working as fast as possible is to have planning sessions with Claude Code and make it challenge you and ask tons of questions. Then get it to break the work into 'cards' (think Jira, but they are just .md files in your repo) and then maintain a todo.md and done.md file pair that sorts and organizes work flow.

Then start a new context, tell it to review todo.md and pick up next task, and burn through it, when done, commit and update todo.md and done.md, /compact and you're off on the next.

It's more than AI hinting at what to do, it's a whole new way of working with rigor and structure around it. Then you just focus fire on the next card, and the next, and if you ever think up new features, then card it up and put it in the work queue.
by throwaway439080 | 2025-07-11 06:32:20+00:00
Kind of amazing the author just takes everything at face value and doesn't even consider the possibility that there's a hidden layer of instructions. Elon likes to meddle with Grok whenever the mood strikes him, leading to Grok's sudden interest in Nazi topics such as South African "white genocide" and calling itself MechaHitler. Pretty sure that stuff is not in the instructions Grok will tell the user about.
by orbital-decay | 2025-07-11 06:32:34+00:00
> Not a single LLM available as a SaaS is deterministic.

Gemini Flash has deterministic outputs, assuming you're referring to temperature 0 (obviously). Gemini Pro seems to be deterministic within the same kernel (?) but is likely switching between a few different kernels back and forth, depending on the batch or some other internal grouping.
by tripletao | 2025-07-11 06:33:21+00:00
They show a 95% CI excluding zero in Figure 1. By the usual standards of social science, that's not a null finding. They give their methodology in Appendix D.

For intuition on why it's insufficient to consider N alone, I assume e.g. that you'd greatly increase your belief that a coin was unfair long before 16 consecutive heads--as already noted, the size of the effect also matters. That relationship isn't intuitive in general, and attempts to replace the math with feelings tend to fail.
by Davidzheng | 2025-07-11 06:33:54+00:00
I think the really telling thing is not this search for elon musk opinions (which is weird and seems evil) but that it also searches twitter for opinions of "grok" itself (which in effect returns grok 3 opinions). I guess it's not willing to opine but also feels like the question is explicitly asking it to opine, so it tries to find some sort of precedent like a court?
by kgwgk | 2025-07-11 06:33:59+00:00
https://www.england.nhs.uk/medicines-2/items-which-should-no...

Items which should not be routinely prescribed in primary care

This policy guidance includes medicines:

[…]

that are clinically effective but not the most cost-effective intervention available

that are clinically effective but deemed a low priority for NHS funding.

Prescribers are advised that no new patients should be started on these items, that they should be deprescribed for current patients and that, where possible, suitable alternatives should be identified for patients.
by gunnarmorling | 2025-07-11 06:34:26+00:00
pg_logical_emit_message() is how I recommend users on Postgres to implement the outbox pattern [1]. No table overhead as you say, no need for housekeeping, etc. It has some other cool applications, e.g. providing application-specific metadata for CDC streams or transactional logging, wrote about it at [2] a while ago. Another one is making sure replication slots can advance also if there's no traffic in the database they monitor [3].

[1] https://speakerdeck.com/gunnarmorling/ins-and-outs-of-the-ou...

[2] https://www.infoq.com/articles/wonders-of-postgres-logical-d...

[3] https://www.morling.dev/blog/mastering-postgres-replication-...
by russellbeattie | 2025-07-11 06:34:37+00:00
The assumption is that the LLM is the only process involved here. It may well be that Grok's AI implementation is totally neutral. However, it still has to connect to X to search via some API, and that query could easily be modified to prioritize Musk's tweets. Even if it's not manipulated on Grok's end, it's well known that Elon has artificially ranked his X account higher in their system. So if Grok produces some innocuous parameters where it asks for the top ranked answers, it would essentially do the same thing.
by morsch | 2025-07-11 06:35:10+00:00
> That is barely enough for a fridge.

An efficient European fridge uses less than 250 kWh/a, or less than about 30W on average.

E.g. this uses 127 kWh/a: https://www.bosch-home.com/de/de/product/kuehlen-gefrieren/k...
by rester324 | 2025-07-11 06:35:24+00:00
I am not convinced.

If what you write was true, then the rate of bugs of those incredible devs would simply fall to zero at one point, and at that point they would become a legend who we all would have heard of by now. So the whole story sounds too fishy to my taste.

It's OK if you want to manage your team this way. Everyone needs some external feedback to confirm their own bias. It seems you found yours and it works for you.

It's just not a good argument in support of AI or AI assisted development.

It's too anecdotal.

And since you are the one who are telling me that you are right, and not others, it makes me even more skeptical about the whole story.
by anal_reactor | 2025-07-11 06:35:35+00:00
What I love the most about this whole thing is that it's about limiting people's access to porn while evidence that porn is bad for you is dubious at best, while the real problem is big tech using algorithms to feed people's stupidity and addiction on personal basis... which as dystopic as it sounds, has been documented, proven, and accepted as the new normal. And with the new law it gives said big tech access to even more information about the user to target them with garbage even more effectively.

What do I say. Every day I'm even more disappointed in people. "So this is how liberty dies... with thunderous applause."
by DemocracyFTW2 | 2025-07-11 06:36:03+00:00
That's like you can't deduce the input t from a cryptographic hash h but the same input always gives you the same hash, so t->h is deterministic. h->t is, in practice, not a way that you can or want to walk (because it's so expensive to do) and because there may be / must be collisions (given that a typical hash is much smaller than the typical inputs), so the inverse is not h->t with a single input but h->{t1,t2,...}, a practically open set of possible inputs that is still deterministic.
by shinycode | 2025-07-11 06:38:46+00:00
I bet with a co-worker that a migration from angular 15 to angular 19 could be done really fast avoiding months. I spent a whole evening on it and Claude code have never been able to pull off a migration from 15 to 16 on its own. A total waste of time and nothing worked. I had the surprise that it cost me 275$ for nothing. So maybe for greenfield projects it’s smooth and saves time but it’s not a silver bullet on projects with problems.
by TeMPOraL | 2025-07-11 06:38:53+00:00
> Someone already operating at the very limit of their abilities doing stuff that is for them high complexity, high cognitive load, detail intense, and tactically non-obvious?

When you zoom in, even this kind of work isn't uniform - a lot of it is still shaving yaks, boring chores, and tasks that are hard dependencies for the work that is truly cognitively demanding, but themselves are easy(ish) annoyances. It's those subtasks - and the extra burden of mentally keeping track of them - that sets the limit of what even the most skilled, productive engineer can do. Offloading some of that to AI lets one free some mental capacity for work that actually benefits from that.

> Even a machine that just handed you the perfect code can't 20x your real output, even if it gave you the source file at 20x your native sophistication you wouldn't be able to build and deploy it, let alone make changes to it.

Not true if you use it right.

You're probably following the "grug developer" philosophy, as it's popular these days (as well as "but think of the juniors!", which is the perceived ideal in the current zeitgeist). By design, this turns coding into boring, low-cognitive-load work. Reviewing such code is, thus, easier (and less demoralizing) than writing it.

20x is probably a bit much across the board, but for the technical part, I can believe it - there's too much unavoidable but trivial bullshit involved in software these days (build scripts, Dockerfies, IaaS). Preventing deep context switching on those is a big time saver.
by invalidusernam3 | 2025-07-11 06:40:03+00:00
The "MechaHitler" things is particularly obvious in my opinion, it aligns so closely to Musk's weird trying-to-be-funny thing that he does.

There's basically no way an LLM would come up with a name for itself that it consistently uses unless it's extensively referred to by that name in the training data (which is almost definitely not the case here for public data since I doubt anyone on Earth has ever referred to Grok as "MechaHitler" prior to now) or it's added in some kind of extra system prompt. The name seems very obviously intentional.
by ilya_m | 2025-07-11 06:40:36+00:00
> I wish I'd put $1,000 into bitcoins then; I'd be a billionaire. I thought bitcoin was a Ponzi scheme.

These are not mutually exclusive statements. Actually, this is how Ponzi schemes work ; -)

(Somehow I never connected Bayer et al. and Bayer & Diaconis. Wow!)
by m0wer | 2025-07-11 06:41:24+00:00
You missed the point. The IP protocol doesn't scale! Ethernet MTU is just 1500 bytes how are we ever going to transfer a movie over the Internet!

Ethernet does not need to carry the whole movie in one packet. If it does the job of delivering the MTU to the host on the other side of the cable, it's good. Websockets can be figured out somewhere else. The IP stack is not shit because each layer does just one thing, it's good because of that.

But hey, time will tell.
by DemocracyFTW2 | 2025-07-11 06:42:05+00:00
"Non-deterministic" in the sense that a dice roll is when you don't know every parameter with ultimate precision. On one hand I find insistence on the wrongness on the phrase a bit too OCD, on the other I must agree that a very simple re-phrasing like "appears {non-deterministic|random|unpredictable} to an outside observer" would've maybe even added value even for less technically-inclined folks, so yeah.
by WhereIsTheTruth | 2025-07-11 06:42:10+00:00
What other evidence do you need? this was a known fact since Grok 1 [1]

Elon Musk doesn't even manage his own account

He doesn't even play the games he pretends to be "world best" himself [2]

1 - https://x.com/i/grok/share/uMwJwGkl2XVUep0N4ZPV1QUx6

2 - https://www.forbes.com/sites/paultassi/2025/01/20/elon-musk-...
by djaychela | 2025-07-11 06:42:12+00:00
>How is it not the responsibility of senior management at a major retailer to ensure an exploit at a vendor can't take the whole house of cards down?

I think you may be misunderstanding their organisation layout - his job is entirely to do with the quality of the products that they offer (and he's very good at it). He's nothing to with sales or online or any of that, but part of the 'normal' retail chain that people would never think goes anywhere this stuff. But their systems were all taken out because of this.
by st_goliath | 2025-07-11 06:42:19+00:00
If you are interested in handmaking a replica, some enthusiasts have already replicated the PCB design and there is a zip archive with Gerber files floating around: https://www.applefritter.com/content/apple-1-replica-gerber-...

From what it looks like, the difficulty shouldn't be in getting a board made or soldering them, but sourcing the parts. Other than the odd 74 series ICs, the design includes some (I think memory?) chips that are nowadays more difficult to find than the 6502 & 6520.
by jl6 | 2025-07-11 06:42:53+00:00
I think an argument can be made that relations, schemas and constraints encode a kind of business logic that is intrinsic to the definition and integrity of the data, while other types of business logic represent processes that may hinge on data but aren’t as tightly coupled to it. Similar to the difference between a primitive type and a function.

I guess some will argue that their business logic is special and really is so tightly coupled to the data definition that it belongs in the database, and I’m not going to claim those use cases don’t exist, but I’ve seen over-coupling far more often than under-coupling.

This is why I say: Applications come and go, but data is forever.
by LargoLasskhyfv | 2025-07-11 06:44:34+00:00
https://ntdev.blog/2024/01/08/the-complete-tiny10-and-tiny11... is not their website.

They are just blogging about how they used it.

Like some more reputable site also did:

https://www.xda-developers.com/tiny11-hands-on/

Maybe use that to make up your mind, in spite of the ISO not coming from MS.

Which btw. links to other alternatives like https://github.com/Raphire/Win11Debloat , which does not have the unknown ISO source problem, and a wiki explaining which does what, and how to revert it, just in case.

https://github.com/Raphire/Win11Debloat/wiki/
by troupo | 2025-07-11 06:44:35+00:00
And it's the author of the original article running Gemkni Flash/GemmniPro through an API where he can control the temperature? can kernels be controlled by the user? Any of those can be controlled through the UI/apis where most of these LLMs are involved from?

> but is likely switching between a few different kernels back and forth, depending on the batch or some other internal grouping.

So you're literally saying it's non-deterministic
by mynti | 2025-07-11 06:45:18+00:00
i do not quite understand this point of view. even if bees suffer tremendously in the industrial complex, then the logical solution would not be to stop eating honey but to source honey from an ethical producer. there are lots of small beekeepers everywhere who treat their bees well and produce high quality honey. they get their hive in a often quiet area near a field or forest and live there mostly untouched until some of the honey is harvested. they also make sure to leave enough for the hive to survive, otherwise you would need to buy again.

i feel like this is the same for other animal products. for a lot of them there is an ethical way of sourcing them, which costs more and you would need to reduce your consumption of it. but this extreme view on veganism and animal products confuses me.
by johnisgood | 2025-07-11 06:46:19+00:00
Yeah, it has never been about saving the children, or fight terrorism. It has been about control and power. People should read more about Austrian economics / Mises, because despite what their preconceived thoughts may suggest, everyone who thinks this is a bad idea, will like what they will read on Mises' website.

Books like "Anatomy of the State" by Rothbard, "Basic Economics" by Sowell, "The Left, The Right, & The State" by L. H. Rockwell, Jr. or "Lessons for the Young Economist" by Bob Murphy are quite nice. Heck, I would even suggest "The Law" by Frédéric Bastiat.

You do not have to read books however, you can check blog posts.

Website can be found here: https://mises.org. You are looking for "Wire" and "Beginners". Make sure to use the search functionality though, there are a lot of very specific subjects that are "irrelevant" to this case.
by logicchains | 2025-07-11 06:47:06+00:00
>I understand that they want to make it harder for kids to access the flood of material that will destroy their brains before they even realize it.

This is hyperbolic crap. Since at least the 70s boys have been growing up with access to adult images and it hasn't "destroyed their brains". Certainly a minority of people have a problem with porn addiction, but even completely banning porn access to teens would just delay this a few years, at the expense of completely destroying internet anonymity.
by coderhs | 2025-07-11 06:47:09+00:00
Amazing project. I have been using tail scale connected to an nginx proxy manager hosted on a VPS, to make my application public. Wrote about it here: https://hsps.in/post/how-i-host-public-apps-using-tailscale/

But pangolin seems to be similar to that setup with a good UI, and more control. Definitely trying it out.

Quick question: Can it handle multiple domain names? I point multiple domain to the vps hosting my npm it proxy's them from there. Does Pangolin, also support multiple domains pointing to it?
by TeMPOraL | 2025-07-11 06:47:45+00:00
AI marketing isn't extreme - not on the LLM vendor side, at least; the hype is generated downstream of it, for various reasons. And it's not the marketing that's saying "you're using it wrong" - it's other users. So, unless you believe everyone reporting good experience with LLMs is a paid shill, there might actually be some merit to it.
by heavyset_go | 2025-07-11 06:50:39+00:00
> I am old enough to remember how hard it was to find access to adult mags.

It wasn't difficult to find, it was just in your parents' or siblings' drawers, or your friends had it, or you or someone else had Pay-per-view TV or one of the soft core channels, or you or someone had illegal cable/sattelite, or it was just out in the woods[1] for whatever reason.

No one's minds melted from that.

If access to content is so unhealthy for anyone, then policy should address that. For example, sites should throttle or cut heavy users off. Giving 3D models of our faces + our IDs/passports online just for some government contractor to lose them is a solution looking for a problem that it does not solve well.

Funnily enough, I was going through my grandfather's possessions from when he was a kid and found what can be described as cartoon adult content in with his comic books. This was shit from literally 100 years ago, and yet that generation turned out alright by most standards.

[1] https://dangerousminds.net/comments/the_inexplicably_ubiquit...
by anonfordays | 2025-07-11 06:50:58+00:00
>That's a lot of effort you spent trying to move goalposts to try to project your insecurities. :-)

Goalposts haven't moved, you've just missed.

>Can I try?

No you may not, so the rest of your post is disregarded. Bet you're seething over opening yourself up to that.

Any reply from you is an admission that you're triggered and don't have any intelligence. Also failing to reply is an admission of the same.

I won.
by orbital-decay | 2025-07-11 06:51:09+00:00
The only thing I'm saying is that there is a SaaS model that would give you the same output for the same input, over and over. You just seem to be arguing for the sake of arguing, especially considering that non-determinism is a red herring to begin with, and not a thing to care about for practical use (that's why providers usually don't bother with guaranteeing it). The only reason it was mentioned in the article is because the author is basically reverse engineering a particular model.
by Duanemclemore | 2025-07-11 06:51:15+00:00
Look at companies in the AEC sector. Pay is lower than straight tech, but a lot of exciting real world and applied problems to dig in to. All the fun stuff these days is computation and advanced fabrication based. Even something closer in application to the jobsite like building information modeling still has room to grow in terms of tech implementation.

Your skill set would be lucrative to a big construction or engineering firm and they pay well. Architecture firms solve the funnest problems, which is what you get in return for the lower pay.
by anonfordays | 2025-07-11 06:52:23+00:00
>Even if that was true

It is true.

>Border Patrol is a unit of Customs and Border Protection (CBP)—and CBP is a different entity from ICE, at the same organizational level within the Department of Homeland Security—so it would still be a non-sequitur.

Not at all, 30% of ICE agents are Latino, and we were told Border Patrol and ICE are White redneck neo-Nazi racist thugs. Surprise, that delusion is objectively false given these figures. QED.
by tomcam | 2025-07-11 06:52:38+00:00
Salary is an indirect and partially useful metric, but one could argue that your ability to self-promote matters more, at least in the USA. I worked at Microsoft and saw that some of the people who made fat stacks of cash, just happened to be at the right place in the right time, or promoted things that looked good, but we’re not good for the company itself.

I made great money running my own businesses, but the vast majority of the programming was by people I hired. I’m a decent talent, but that gave me the ability to hire better ones than me.
by tsimionescu | 2025-07-11 06:53:08+00:00
The way you model data and store it in your database is fundamentally a part of your business logic. The same data can be modeled in many different ways, with different trade-offs for different use cases. Especially if you have a large amount of data, you can't just work with it as is, you need to know how you will use it and model it in a way that makes the common operations fast enough. As your application evolves, this may change, and even require data migrations.

None of this means you have to or even should use stored procedures, triggers, or listen/notify. I'm just making the point that there is no clean separation between "data" and "business logic".
by InsideOutSanta | 2025-07-11 06:53:23+00:00
I'm not sure why you would instruct an LLM to reason in this manner, though. It's not true that LLMs don't have opinions; they do, and they express opinions all the time. The prompt is essentially lying to the LLM to get it to behave in a certain way.

Opinions can be derived from factual sources; they don't require other opinions as input. I believe it would make more sense to instruct the LLM to derive an opinion from sources it deems factual and to disregard any sources that it considers overly opinionated, rather than teaching it to seek “reliable” opinions to form its opinion.
by bdim404 | 2025-07-11 06:53:43+00:00
Hey HN,

I recently created a plugin for Dify that connects with Steam, allowing LLMs to query real-time game data and user info. It's now officially listed on the Dify plugin marketplace:

GitHub: https://github.com/bdim404/steam-dify-plugin Marketplace: https://marketplace.dify.ai/plugins/bdim/steam

With this plugin, you can fetch:

Game details and metadata

Pricing and discount info

User profile data

App IDs, genres, review stats, etc.

What makes it fun is combining it with Dify's LLM workflows — you can build some really creative agents or chat interfaces, like:

Personalized game recommendations

Chatbots that summarize Steam reviews

Price trackers with contextual alerts

Tools that analyze your (or others’) game libraries

I built it mostly for fun, but I’m happy it got featured officially. Would love any feedback or ideas from the community — or contributions if you're also into Dify/LLMs + gaming.

Thanks for reading!
by aitchnyu | 2025-07-11 06:55:34+00:00
Can we have a linter for both high verbosity/repetitiveness and high terseness? I know copy-paste detector and cognitive complexity calculator linters are related. I recently generated code that interleaved spreadsheet worksheets (multiple of them) and cell formatting boilerplate with querying data. I asked AI to put the boilerplate into another class and expose .write_balance_row() and it did it perfectly. If a tool reported it, huge changes dont have to reach human reviewers and AIs can iterate and pass the linter.
by smartmic | 2025-07-11 06:56:00+00:00
Correct (and already done by now). Just a few days ago, there was the remarkable example that Cloudflare wants to use the code 402 (payment required) to keep AI crawlers away or ask them to pay. I still think it's a great idea, hopefully something will come of it.

https://news.ycombinator.com/item?id=44432385