MurphyA/hacker-news huggingface dataset:
by nucleardog | 2026-01-08 15:24:00+00:00
> So the question to ask yourself is -- if this was a deliberate interaction that cloudfare was required to participate in via a warrant, would they legally even be allowed to publish a blog post that contradicted this?

So you're proposing they could be in a situation where they can either:

1. Publish an untruthful blog post, relying on public data available from multiple parties, trying to somehow explain it all while avoiding talking about their involvement in a way that would get them in PR, legal or political hot water; or

2. Publish nothing.

And they chose #1?

The only way #1 makes any sense at all is if some greater consequence to not publishing was put in place. But that would be more something like "the US gov essentially forced Cloudflare to write this" than "Cloudflare was part of this".

Unless they were part of this, _and_ the government forced them to write a post saying they're _not_ part of it and...

For my money: this is something in the news making it a good marketing opportunity which is ultimately what the blog is--trying to market Cloudflare and the brand to technical crowds.
by moshegramovsky | 2026-01-08 15:24:13+00:00
> This was something many many doctors originally claimed was completely safe.

I never heard any doctors claim any of the covid vaccines were completely safe. Do you mind if I ask which doctors, exactly? Not institutions, not vibes, not headlines. Individual doctors. Medicine is not a hive mind, and collapsing disagreement, uncertainty, and bad messaging into “many doctors” is doing rhetorical work that the evidence has to earn.

> The role of LLMs is they take the human bias out of the picture.

That is simply false. LLMs are trained on human writing, human incentives, and human errors. They can weaken certain authority and social pressures, which is valuable, but they do not escape bias. They average it. Sometimes that helps. Sometimes it produces very confident nonsense.

> Your post irked me because I almost got the sense that there’s a sort of prestige, admiration and respect given to doctors that in my opinion is unearned. Doctors in my opinion are like car mechanics and that’s the level of treatment they deserve.

> No one and I mean no one should trust the medical establishment or any doctor by default. They are like car mechanics and should be judged on a case by case basis.

You are entitled to that opinion, but I wanted to kiss the surgeon who removed my daughter’s gangrenous appendix. That reaction was not to their supposed prestige, it was recognition that someone applied years of hard won skill correctly at a moment where failure had permanent consequences.

Doctors make mistakes. Some are incompetent. Some are cynical. None of that justifies treating the entire profession as functionally equivalent to a trade whose failures usually cost money rather than lives.

And if doctors are car mechanics, then patients are machines. That framing strips the humanity from all of us. That is nihilism.

No one should trust doctors by default. Agreed. But no one should distrust them by default either. Judgment works when it is applied case by case, not when it is replaced with blanket contempt.
by koolba | 2026-01-08 15:24:39+00:00
From the article (emphasis mine):

> The Billionaire Tax Act, which could be added to the state’s general election ballot in November, would impose a one-time tax of 5% on the total wealth of California tax residents whose net worth is $1 billion or more. While new taxes typically take effect after they’re approved, the proposed billionaire tax would apply to those who are California residents as of Jan. 1, 2026.

I don't always predict the future, but I can assure you that if this passes, it will not be "one-time".

The bill itself is a wild read too: https://oag.ca.gov/system/files/initiatives/pdfs/25-0024A1%2...
by bs7280 | 2026-01-08 15:26:01+00:00
From what I understand this is a big problem on the west coast (and I agree with what you are saying).

This thread is interesting, as we are all naturally biased towards problems in our own area, and I'm learning some interesting nuances affecting other parts of the country. I live in Chicago / Midwest that has more land and residential high-rises, but our tax problem is a nightmare.
by habosa | 2026-01-08 15:26:48+00:00
This article has a pretty good history of how the research has evolved: https://www.newyorker.com/magazine/2025/01/13/why-is-the-ame...

The latest conclusion seems to be that the deadly combo is ultra processed foods with high calorie density. That’s what causes us to overeat garbage. Ultra processed low calorie foods are often still junk, but not what is killing us.
by BikiniPrince | 2026-01-08 15:27:04+00:00
The rest api was taken apart years ago for my old Sonos. They had originally promised to add AirPlay support later said, “Just kidding. Why don’t you brick it instead.” At that point I was finished with closed ecosystems for audio. At least someone made an AirPlay agent that lives on the home server. That speaker has survived many years too.
Ask HN: What data modeling approaches work for convs. AI systems?
by tanmaydesh5189 | 2026-01-08 15:27:05+00:00
I’ve been working on data modeling for conversational AI / LLM-driven systems and wanted feedback from people building or operating these systems in practice.

Based on recent work, a few approaches that seem to help (and their limits):

Semantic-first models: treating intent, entities, and relationships as first-class objects rather than forcing everything through star schemas

Hybrid structured + retrieval layers: combining strict schemas for facts with embeddings for discovery, at the cost of more complex orchestration

Query mediation layers: translating natural language into constrained query plans instead of free-form SQL or retrieval

Explicit conversational state: modeling context and history as data, not just prompt text

Evaluation beyond accuracy: measuring conversational drift, ambiguity resolution, and recovery paths

I’ve written up these ideas, trade-offs, and examples here (this is a Medium Friend Link, so it should open fully without a paywall):

https://medium.com/data-science-collective/how-to-build-data-models-that-actually-work-for-conversational-ai-in-2026-67d16f261344?sk=8f0f64875ec5e4c26493f6fb207938ec

What I’m hoping to learn from this community:

Which of these approaches hold up in production, and which fall apart?

Are there modeling patterns you’ve found simpler or more robust?

What failure modes show up only at scale or with real users?

Anything here that feels over-engineered or missing entirely?

Looking for concrete experiences, counter-examples, and corrections.
by kaffekaka | 2026-01-08 15:27:32+00:00
I do not read the news either. Reading about all the shit every day just makes me feel down, and I am fully aware of what is going on in the world without actively seeking out the news. Trickle down news is enough.

One is not a bad citizen for not constantly swimming in the depressing narratives. In addition, a lot of news are spun to make you feel as bad as possible, just like social media thrives more the worse you feel.
by hallole | 2026-01-08 15:27:45+00:00
The website is animated, so there's no question of which direction to read in, the left side literally pops up first lol. I can't lie, I miss websites that stood still, this could've just been a PDF.

BTW, you say "lobbied leaders" -- if you're talking about the scientists who have their names on this report, you'd be very correct. The "conflicting interests" section has loads of references to the cattle and dairy industries.
by hirvi74 | 2026-01-08 15:28:16+00:00
My childhood best friend is a touring a member of a relatively famous singer's band. I remember a discussion I had with him once about how soul-sucking it is to constantly be on the road. He was telling me how easy it is to just fall into a bad routine. He said you'd play a banger of a show one night, go back to the bus, have a few drinks and maybe some other substances. The next night, you play another banger, go back to the bus, have a few drinks, etc.. Next think you know, this is your everyday life.

He was also telling me about how constantly being on tour comes with this unsettling feeling. You travel to a city, play a show, go to sleep, and might wake up in a completely different city, state, or country. He told me that he started to develop some kind of latent anxiety due to the bombardment of new places and experiences causing a lack of consistency and familiarity in which one often anchors their lives to.
by linsomniac | 2026-01-08 15:28:37+00:00
GPs don't have time to do the investigation, but they also have biases.

My own story is one of bias. I spent much of the last 3 years with sinus infections (the part I wasn't on antibiotics). I went to a couple ENTs and one observed allergic reaction in my sinuses, did a small allergy panel, but that came back negative. He ultimately wanted to put me on a CPAP and nebulizer treatments. I fed all the data I got into ChatGPT deep research and it came back with an NIH study that said 25% of people in a study had localized allergic reactions that would show up one place, but not show up elsewhere on the body in an allergy test. I asked my ENT about it and he said "That's not how allergies work."

I decided to just try second generation allergy tablets to see if they helped, since that was an easy experiment. It's been over 6 months since I've had a sinus infection, where before this I couldn't go 6 weeks after antibiotics without a reoccurrence.
Show HN: The Coasean Nightmare – Why Seamless AI is a Cognitive/Legal Liability
by daikikadowaki | 2026-01-08 15:28:59+00:00
I’ve been analyzing a specific failure mode in modern AI design that I call "The Deception of Mercy."

Current design dogmas prioritize "seamlessness" — AI agents silently polish our drafts, fix our code, and "optimize" our intent without explicit feedback. While this feels like magic, it creates what I call Ontological Deception. Users internalize system-mediated success as personal competence, leading to a massive, invisible Agency Deficit.

From a Coasean perspective, this is a nightmare: the transaction costs of identifying the locus of judgment are becoming infinite. As skills rot through "merciful" automation, human capital is liquidated for immediate convenience.

I am proposing the Judgment Transparency Principle (JTP).
JTP is not a library, but a normative design framework. It asserts that whenever a system influences human outcomes, the boundary and delegation of judgment must be explicitly perceivable.

The Implementation: The Ghost Interface
To operationalize JTP, I’ve adapted an isomorphism from 3D game debugging. Just as developers visualize the discrepancy between a "visual mesh" and its "collision hitbox," we must visualize the delta (\Delta) between "user intent" and "AI execution."

In a "Haunted Text Field," your clumsy original input remains as a translucent "Ghost" artifact overlaying the AI's "merciful" fix. Friction is re-introduced not as a bug, but as the essential texture of agency.

Regarding the Links (Manual Fix Required):
I am currently under a shadowban, and direct links may be hidden or flagged. To view the documentation, please manually assemble the URLs below by replacing [dot] with .:

• Source & Manifesto: github [dot] com / daiki-kadowaki / judgment-transparency-principle

• Theoretical Papers (JTP/Ghost Interface): drive [dot] google [dot] com / drive / folders / 1fSRuCz3iFcdV361K0Uin-vP49MJQYGld

This project is a defensive filing to ensure these mechanisms remain an open standard, preventing Big Tech from monopolizing the "infrastructure of agency."

I’m looking for a rigorous debate on how we can bake cognitive sovereignty into the fabric of the agentic economy.
Show HN: Scribble – streaming-friendly transcription engine in Rust
by hatchjosh | 2026-01-08 15:28:59+00:00
Hi HN — I built Scribble, a lightweight transcription engine in Rust focused on streaming ergonomics and production usage.

It’s Whisper-based, VAD-aware, usable as both a CLI and an embeddable library. The initial release goals are complete; current work is focused on hardening and durability.

Repo: https://github.com/itsmontoya/scribble

Happy to answer questions about design decisions or tradeoffs.
by gwbas1c | 2026-01-08 15:30:37+00:00
If you're still looking at this thread, this article explains what's going on: https://www.startups.com/articles/how-founders-get-fired-by-...

The article takes a harsh tone on the situation, which really isn't true. (I wish the author avoided the word "failed" because the situation is really about recognizing success and playing to strengths.)
by wolvoleo | 2026-01-08 15:30:57+00:00
Yes but the magstripe is still present thus it can be skimmed.

Here in Europe a lot of cards don't have a magstripe anymore, or it is deactivated (containing no relevant payment info but a functional header)

My bank asked if I still wanted it in case I'd travel to the US or some other countries but I never travel outside of EU anymore so I didn't want one.
by smithoc | 2026-01-08 15:31:38+00:00
For the same people accept Tether's claims of solvency even though they refuse audits and obviously lie about ownership of various assets. For the same reason people ignore wash trading. For the same reason people continue using Sam-coins even after FTX's implosion.

Because A) they're not paying attention, B) they're in denial and C) because they think they can profit in the short term before it collapses, or that the odds are in their favor to profit despite the risks.
by tarang8811 | 2026-01-08 15:31:58+00:00
Hi HN, I’m Tarang.

I’ve been building small SaaS projects (and running a cab business offline), but the B2B prospecting workflow was driving me insane.

It wasn't just the "Tab Hell" of having 5 different tools open (LinkedIn, Company Site, Email Verifier, etc). The real problem was Signal to Noise.
Most data providers just dump a list of "CEOs in New York" on you. But I needed specific triggers—who is hiring? Who just raised money? Who changed their tech stack? Finding the right signal for the right industry was impossible without manually reading every website.

So, I built GetIntel to solve the relevance problem.
How it works: It acts as a real-time aggregator. You input a domain, and it hits multiple public sources to stitch together not just the contact info, but the context the "signals" that actually matter for a sale.

The Tech:
Backend: Pure Ruby.
Database: Postgres.
The Challenge: The hardest part is mapping signals across industries. A "hiring" signal in a SaaS company means they are growing; in a retail business, it might just be high turnover. I’ve tried to normalize this, but it's tough.

My Request to You: I need a reality check. I don't know if I've nailed the signal relevance for your specific industry (Healthcare? Fintech? DevTools?).

It’s free to try. Please look up a company in your space and tell me: Did I catch the right signals, or is it just noise?
by oceanplexian | 2026-01-08 15:32:06+00:00
Have you tried asking your parents that question?

You could buy US-made garments in the 80s and 90s. Just like you could buy American TVs, vacuum cleaners, computers, and everything else. In fact Americans had a great quality of life back then, arguably a better one if you go by the attainability of things like housing, affordability, and economic inequality.
by aprilnya | 2026-01-08 15:32:35+00:00
Regarding the last point, pompyboard is very much a tablet or pointing device meant only for enthusiast osu! players from what I understand. No artist in the world needs a 8KHz polling rate tablet let alone 1KHz. Tablets from other brands are much better suited for drawing.
While the basic idea of a rectangle you put a pen on is the same for artists and osu! players, the more detailed requirements are basically opposites

Basically:

- Pen click is useless for osu! or can just be digital, while artists would want analog pressure

- Buttons on a pen are actively detrimental for osu! but very useful for artists

- Smoothing on a tablet is more detrimental for osu! the more of it there is but absolutely necessary for artists

- High polling rate is useless for artists (they would have input delay due to the smoothing they need either way) but very useful for osu!

- Big tablets are useless for osu! players as they typically only use a 5-15cm area while they are very useful for artists

I think the entire point of something like pompyboard is to make a tablet just for osu!, which doesn’t exist right now. Meanwhile for artists there is already a whole industry of tablets available for them
by GuB-42 | 2026-01-08 15:32:42+00:00
This is edutainment. Kind of like YouTube channels like 3Blue1Brown, Veritasium or MinutePhysics. All good, it helps build intuition, and to better understand the world, but it is a bit lacking for actually using that knowledge.

Notice how few equation there are in this page, it is a common feature of edutainment, they won't give you equations unless they can't get away without. No linear algebra here, just a cosine (actually a dot product in disguise) and the inverse square law (1/r²), two equations he considered to fundamental to skip. Also notable is the lack of exercises.

But now that you have read this page, and played with the interactive elements, you probably have a good understanding of how lights and shadows work, but can you write a 3D engine or even just calculate exposure time without your camera helping you? Without prior knowledge, probably not. For that, you actually need to do the maths, with exercises and all that. And by the way, look at the source code (it is not obfuscated), all the linear algebra that is not present in the article is there!

That, I think, explain the discrepancy between edutainment and textbooks. Textbooks are for you to do actual work, do the maths, solve problems, etc... not just give you an overview. That's also why is takes way longer and requires a lot more effort on the student part.

Interactive content like this one is good, and maybe given a bit more consideration by the traditional educational system. But I don't think it can replace textbooks, at least not for the "hard part".
by chiengineer | 2026-01-08 15:33:04+00:00
Wheres the benchmarks for all the different tools and subscriptions/ APIs ?

Cli vs IDE vs Web ?

Nothing for gpt codex 5.1 max or 5.2 max?

Nothing about the prompts ? Quality of the prompts? I literally feed the AI into the AI I just ask it for the most advanced prompts with a smaller model and then use it for the big stuff and its smooth sailing

I got codex 5.1 max with the codex extension on vs code - to generate over 10k lines of code for my website demo project that did work first time

This is also with just the regular 20$ subscription

Github copilot pro plus + vs code is my main go to and depending on the project / prompts/ agent.md quality/ project configuration can all change the outcome of each question
by SkullTech | 2026-01-08 15:34:00+00:00
Jurisphere.ai | Founding Head of Product | Bangalore, India | Hybrid | Full-time

We’re building an enterprise AI platform for the legal industry. Bootstrapped to $1M ARR with a team of ~20, recently raised our first institutional round.

We’re hiring our first Product leader to take over from the founders and own the roadmap end-to-end. This is not a wrapper; we’re building complex, multi-step AI workflows, document reasoning systems, and audit-heavy enterprise software for top-tier law firms and corporates.

Profile:

• 6–10+ years. We care more about output density than titles.

• Background in B2B SaaS / DevTools / workflow or platform products.

• Has owned large product areas or whole products end-to-end.

• Technical enough to discuss things like RAG evaluation and LLM latency.

• High-agency: you’ll decide what we build and what we don’t.

Not a fit if: you’re a process-only / Jira-first / bigco PM.

Comp: ₹40L–₹70L base + meaningful equity. Strong growth as we scale from $1M to $5M+ ARR.

Apply: sumit@jurisphere.ai. Short intro + links to things you’ve built helps.
by afavour | 2026-01-08 15:34:10+00:00
> The study, from UVA Health’s Andrew S. Parsons, MD, MPH and colleagues, enlisted 50 physicians in family medicine, internal medicine and emergency medicine to put Chat GPT Plus to the test. Half were randomly assigned to use Chat GPT Plus to diagnose complex cases, while the other half relied on conventional methods such as medical reference sites

This is not ChatGPT outperforming doctors. It is doctors using ChatGPT.
by jameslk | 2026-01-08 15:34:17+00:00
Coding agents seem the most likely to become general purpose agents that everyone uses eventually for daily work. They have the most mature and comprehensive capability around tool use, especially on the filesystem, but also in opening browsers, searching the web, running programs (via command line), etc. Their current limitation for widespread usage is UX and security, but at least for the latter, that's being worked on

I just helped a non-technical friend install one of these coding agents, because its the best way to use an AI model today that can do more than give him answers to questions
by nerdponx | 2026-01-08 15:34:27+00:00
> all they had to do to label a cow “free range” or “grass fed” was change the finishing stage to a lower density configuration instead of those abominable feed lots you see along highways.

This is a material win for humane treatment of animals as well as the health of the consumers who aren't eating the stress hormones of a tortured large mammal. The price difference isn't even that big. Of all the things to complain about in the meat industry, this is not top of mind in my opinion.
by pjc50 | 2026-01-08 15:34:40+00:00
No, this is a goods v services thing.

The most critical determinant of the cost of things is "do you absolutely have to do this in a Western country by people who are legally entitled to work there, and even worse, in or near a major city?"

I don't have references, but I suspect that the people working in the TV factory do not find that the TVs are cheaper than finding a local plasterer. The TVs can be easily imported to the West from somewhere cheaper. The labour cannot, and there's an entire regulatory infrastructure dedicated to keeping such labour expensive. So you see price rises in all the labour-intensive non-exportable industries; trades, healthcare, education, law enforcement, hospitality, and so on. While anything that can be put on a boat gets comparably cheaper.

(this is my variant on the Baumol Cost Disease argument, which is in the graph in the article already)
by freedomben | 2026-01-08 15:35:28+00:00
Yeah that's quite fair, the article is not very accurate.

It sounds like there are two main pieces to me:

1. Removal of cloud dependency

2. Making usable the API (and providing documentation)

With a minor 3rd piece:

3. The official app will be updated to support the "offline" mode without losing as many features as possible now that the cloud service is going away.

All very laudable things IMHO. I'm actually going to buy one of these
by echelon | 2026-01-08 15:35:35+00:00
> everything will look like Marvel or Pixar or Star Wars.

I want to immediately push back against that notion. I cited Disney because that's what people are familiar with.

In reality, we're going to have more diversity than ever before.

Stuff like this:

https://www.reddit.com/r/aivideos/comments/1q22s3s/go_slowly...

https://www.linkedin.com/feed/update/urn:li:activity:7409063...

https://www.youtube.com/watch?v=9hlx5Rslrzk

These are bad examples, but they're just what I have in front of me.

"I've seen things you people wouldn't believe" is a fitting quote.

There's going to be incredible stylistic diversity.

> I now can never be sure if a detail was put somewhere intentionally by the filmmakers or if it was just a random AI addition.

If it's in the film, it was intentional. What you won't know is whether it was serendipity. And the fact is quite a bit of filmmaking today is already serendipity.