MurphyA/hacker-news huggingface dataset:
by mcdonje | 2025-12-02 16:30:04+00:00
Wild how you're weaving a tale about mob justice when someone says something against racists.

Also, it's logically incoherent how you're portraying mob justice as a bad thing while rejecting governmental regulation. The entire idea of the state having a monopoly on violence is to prevent mob justice, or individuals taking the law into their own hands. Basic civics.

I'm generally in favor of free speech, but there are thorny issues associated with it that "free speech absolutists" aren't interrogating because they stop at "racists should be able to say what they want".
by minutillo | 2025-12-02 16:30:04+00:00
This demonstrates three problems, in order of severity:

1) The answer is hilariously wrong.

2) The LLM doesn't (can't) know the answer is wrong - it happily spits out garbage.

3) Not one single person at google who can influence this gives a shit. Complete nonsense is now at the top of the screen on every search.
by shagie | 2025-12-02 16:30:25+00:00
From a couple years ago...

https://www.microsoft.com/en-us/garage/wall-of-fame/seeing-a...

https://youtu.be/R2mC-NUAmMk

https://youtu.be/DybczED-GKE

... and that was 10 years ago. I'm curious for what it could do now.
by scottlamb | 2025-12-02 16:31:03+00:00
I agree with everything you wrote except for this:

> Indeed, in the general case some perfectly coded `unsafe` code could `dup2()` over the fd, so any checking at UdpSocket creation time is moot; you still don't get the safety you are asking for.

If `unsafe` code breaks safe code's soundness guarantees (let's assume for a second an alternate world in which "fd is of the correct type" is a soundness guarantee Rust makes), the bug is in the `unsafe` code.
by poszlem | 2025-12-02 16:31:04+00:00
To be honest, this is the first month in almost a year when I didn't pay for ChatGPT Pro and instead went for Gemini Ultra. It's still not there for programming, where I use Claude Max, but for my 'daily driver' (count this, advice on that, 'is this cancer or just a headache' kind of thing), Gemini has finally surpassed ChatGPT for me. And I used to consider it to be the worst of the bunch.

I used to consider Gemini the worst of the bunch, it constantly refused to help me in the past, but not only has it improved, ChatGPT seems to have gone down the 'nerfing' road where it now flat out refuses to do what I ask it to do quite often.
by cubefox | 2025-12-02 16:31:04+00:00
That's the final, fine-tuned model. The base model (pretraining only, no instruction SFT, RLHF, RLVR etc) is this one: https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp-Base It's apparently not offered at any inference provider, nor are older DeepSeek base models.
by Archivist_Vale | 2025-12-02 16:31:10+00:00
On AI Hallucinations:

People have asked about ai hallucinations, so here’s the honest version.

TLDR; Hallucinations sometimes happen. But they don’t break the usefulness or validity of the disclosures, and the system is designed so that incorrect details don’t invalidate the core idea. Modern models hallucinate less than they used to, and the disclosure format is resilient to the remaining noise.

More detail:

Hallucination rates are dropping over time Across the last two model generations, we’ve seen a very noticeable decline in fabrications when using structured, constrained, multi-agent prompting. It’s not perfect, but the trend is clearly improving.

We don’t treat the AI as an oracle The engine is more like a tireless research assistant than a truth machine. The supervisor + refinement loop forces internal consistency, so the output tends to be coherent even if some details aren’t experimentally validated.

Incorrect details don’t invalidate prior art Prior art doesn’t have to be flawless to count. In practice, examiners and courts often rely on the portions that are correct, even in papers or disclosures that contain errors. What matters is that the idea, mechanism, and implementation pathway are publicly taught. A disclosure can be partially wrong and still function fully as prior art.

We run internal filters to catch the worst issues There are consistency checks, cross-agent critiques, domain sanity filters, and safety blocklists. These reduce (but don’t 100% eliminate) hallucinations. The goal is to keep the output in a usable, conceptually solid range.

The point isn’t to assert truth; it’s to make ideas public These aren’t meant to be validated research papers. They’re structured disclosures designed to teach a concept clearly enough that a practitioner can understand and build on it. This is the bar for defensive publication, not empirical proof.

Valid portions still create value Even if a paragraph is off, the rest of the disclosure still stands. And if anything truly incorrect is identified, we treat that as feedback for improving the filtering and refinement loops.

So yes, hallucinations exist. But they don’t undermine the purpose of making ideas public, timestamped, findable, and structurally useful as prior art. And as the models improve, the signal to noise ratio keeps improving too.

Happy to dig deeper into how we evaluate or mitigate this if anyone wants specifics.
by Covenant0028 | 2025-12-02 16:31:15+00:00
India has not been antagonistic or ambivalent in its recent past, until a Nobel Peace Prize aspirant in the WH decided to take a machete to relations that both countries had been building for the last 25 years, with largely bipartisan support in both countries. Even the current Indian govt is quite pro US until the aspirant tanked that relationship.

And yes, there will be times India doesn't agree with the US, and that's normal. It's seeking to be a partner, not a vassal state.
by metadat | 2025-12-02 16:31:23+00:00
Are you saying gpt-5 produces gibberish 15% of the time? Or are you comparing Mistral gibberish production rate to gpt-5.1's complex task failure rate?

Does Mistral even have a Tool Use model? That would be awesome to have a new coder entrant beyond OpenAI, Anthropic, Grok, and Qwen.
by TheDong | 2025-12-02 16:32:18+00:00
There are two general options:

1. Scrape a google search for the question, feed that into OpenAI with the additional prompt of "Given the above information, is the answer to <user prompt> yes or no". Or give the AI a "google" tool and just ask it directly.

2. Same thing, except instead of OpenAI feed it into underpaid people in the global south (i.e. amazon mechanical turk). These people then probably feed it into ChatGPT anyway.

Given there's a free tier, and when you use it it produces very ai-sounding text, I think it's pretty clearly 1.

Also, if you enter a clever enough question, you can get the system prompt, but this is left as an exercise to the reader (this one's somewhat tricky, you have to make an injection that goes through two layers).
by dylan604 | 2025-12-02 16:32:46+00:00
I have so many disagreements with this post.

I know plenty of people in the food industry that are constantly trying new things at home and while staying late/early at work. I even know bartenders that are playing around with things at home. How many grease monkeys work at a shop on other people's cars yet go home and continue to turn a wrench on their own project car? My grandfather was a custom cabinet maker, and was always trying new things as a hobby project to be able to offer something different to his clients that other builders did not offer. There a plenty of people in non-software professions that like to push themselves outside of work. Just because you don't know any does not mean they do not exist.

Every industry has a group of employees that are essentially just there for a paycheck. This is not a unique thing to the software industry. The flip side of your deeming people lazy/not passionate for not wanting to work for free is that perspective is just off. Just because someone has other commitments does not mean they are lazy. Having a family tends to cut into free time during nights and weekends. Being lazy would mean doing nothing during that time, and I can assure you people busy with family would also love to have time for doing nothing.

This just boils down to people really not understanding personal/work life balance. It just so happens that young people that seem "hungry and passionate" because they spend so much time at work are also people that tend to not have family which affords them a lot of this "passion time" for growing. It's a very simple and normal situation in people's growth. Not being able to recognize that for what it is to me is the thing that should be really questioned.
by jayd16 | 2025-12-02 16:32:50+00:00
> There is no 'async'

I meant this more as simply an analogy to the devX of other languages.

>Bringing code-transform-async-await back is still on the todo-list.

The article makes it seem like "the plan is set" so I do wonder what that Todo looks like. Is this simply the plan for async IO?

> is expected to work properly both in multi- and single-threaded contexts.

Yeah... about that....

I'm also interested in how that will be solved. RTFM? I suppose a convention could be that your public API must be thread safe and if you have a thread-unsafe pattern it must be private? Maybe something else is planned?
by Rastonbury | 2025-12-02 16:32:55+00:00
Age aside, not sure what Zuck was thinking, seeing as Scale AI was in data labelling and not training models, perhaps he thought he was a good operator? Then again the talent scarcity is in scientists, there are many operators, let alone one worth 14B. Back to age, the people he is managing are likely all several years older than him and Meta long timers, which would make it even more challenging
by zaydia | 2025-12-02 16:33:01+00:00
Location: Washington, DC, USA (EST Timezone)

Remote: Preferred but open to hybrid or on-site

Willing to relocate: No

Technologies: Product Management, complex data management, IDAM, vulnerability management, strategic thinking, stakeholder management and negotiations, tradeoff decisions.

Résumé/CV: https://www.linkedin.com/in/carlavoorhees/ | https://drive.google.com/file/d/1B9Vva7nwZuty55OPSfIir3tgZ8u...

Email: carla@carlavoorhees.com

Principal product manager with experience in complex healthcare and defense data, with serious security chops. I make highly usable products in highly regulated environments. I thrive when the stakes are high. Have launched 0->1 products 4x for no-fail missions. Looking for a role where I can help solve user needs and lead a team to build meaningful change.
by protsenko | 2025-12-02 16:33:08+00:00
Hi Spring-lovers community! I have finally completed the series of articles on Spring Data JPA Best Practices. I'm happy to share it with you. This article covers managing transactions and writing queries with the entity manager.

The latest article has become the longest in the entire series, covering a wider range of problems. If you missed any of the articles in the series, you can find them in my profile or in the article itself.
by jotaen | 2025-12-02 16:33:22+00:00
Their “About” site is (just slightly) more insightful:

> Using AI-powered web search, we continuously monitor your questions and send you an email notification when the status flips to what you're waiting for.

via https://yesnotice.com/about/

Without knowing whether they actually do it that way, if you give ChatGPT the following prompt, it returns `No.`:

> Please answer the following question with just “yes” or “no”: Is the new iPhone 18 available for pre-order?
by msp26 | 2025-12-02 16:33:46+00:00
The new large model uses DeepseekV2 architecture. 0 mention on the page lol.

It's a good thing that open source models use the best arch available. K2 does the same but at least mentions "Kimi K2 was designed to further scale up Moonlight, which employs an architecture similar to DeepSeek-V3".

---

vllm/model_executor/models/mistral_large_3.py

```

from vllm.model_executor.models.deepseek_v2 import DeepseekV3ForCausalLM

class MistralLarge3ForCausalLM(DeepseekV3ForCausalLM):

```

"Science has always thrived on openness and shared discovery." btw

Okay I'll stop being snarky now and try the 14B model at home. Vision is good additional functionality on Large.
by captn3m0 | 2025-12-02 16:34:07+00:00
The order states:

> Ensure that the pre-installed Sanchar Saathi application is readily visible and accessible to the end users at the time of first use or device setup and that its functionalities are not disabled or restricted.

https://www.pib.gov.in/PressReleasePage.aspx?PRID=2197140&re... (Press Release)

https://x.com/arvindgunasekar/status/1995540552205697079 (Leaked Order)

Does not sound optional. (I do not have an Aadhaar and have to fight across regulated domains - finance, insurance, banking, investments, even renting).
by UncleSlacky | 2025-12-02 16:34:35+00:00
The electron-as-trapped photon model goes back a ways, to at least Roger Jennison (one of my old profs):

"What is an electron?": http://gsjournal.net/Science-Journals/Journal%20Reprints-Qua...

More recently, Larry Reed has developed a theory very similar to that mentioned in the article:

https://www.researchgate.net/publication/364333320_Quantum_W...

https://www.researchgate.net/publication/390318893_Origin_of...
by mamonster | 2025-12-02 16:35:09+00:00
>The only thing about this constant discussion about the metas and what not is that clearly everyone knows this, so who is this supposed to be for?

LPs. Your LPs want to hear about how you are using their capital for A.I. If A.I fails 2 years down the line you will get to hide out in the crowd. Contrarianism in an institutional setting is actually very hard to do.
Show HN: Systemdesigner.net – a free interactive system-design learning platform
by alibad | 2025-12-02 16:35:33+00:00
Hi HN,

I built systemdesigner.net, a free platform for learning and practicing system design, ML systems, and GenAI architectures.

I originally built it for myself while preparing for system design and ML/AI interviews. I realized my workflow was a mess: reading a blog here, watching a video there, taking notes in Google Docs, and drawing diagrams in entirely different tools. When mentoring engineers I saw the same problem. I wanted a single platform where the material, the practice problems, and the diagramming were part of one continuous loop rather than scattered across the internet.

Here’s what it does today:

- Guided learning plans you can generate based on what you want to study (distributed systems, ML, LLMs, etc). - Every page has built-in quizzes so you can check understanding immediately. - In-page tools: highlight text, take notes, ask questions, get explanations, or have AI discussions on any concept. - Interactive whiteboards for designing architectures and practicing interview problems. - Projects: you can create full system-design or ML/GenAI problems, including requirements, constraints, back-of-the-envelope calculations, data modeling, etc — or you can have AI auto-generate a complete project from a description.

I'd love feedback from this community:

1. What feels missing or confusing? 2. Which system-design topics or architectures should I add next? 3. What do you think of the Projects feature for practical system design use cases on the job, not just interviews?

Thanks for taking a look. Happy to answer questions as they come.
by jacquesm | 2025-12-02 16:35:38+00:00
I've worked at a bank where one of the oft heard jokes was that 'I spend 8 hours per day there but I really wouldn't want to work there'. It was true too. 145 people in the IT department, and absolutely nothing got done.

This was a bit of a let-down for me, all these people, so much fancy hardware. I had a hard time believing it at first. The whole place was basically caretakers that made the occasional report printing program and that based their careers on minor maintenance of decades old COBOL code that they would rather not touch at all.

Something as trivial as a new printer being taken into production would turn into a three year project.

On Friday afternoons the place was deserted. And right now I work 'from home' and so do all of my colleagues and I don't think there are any complaints about productivity. Sure, it takes discipline. But everything does, to larger or lesser degree and probably we are a-typical but for knowledge work in general WFH can work if the company stewards it properly. It's all about the people.
by crazygringo | 2025-12-02 16:35:56+00:00
> is better solved by improved education

From the article, this has nothing to do with education. It's:

> The app is mainly designed to help users block and track lost or stolen smartphones across all telecom networks, using a central registry. It also lets them identify, and disconnect, fraudulent mobile connections.

If your phone gets stolen, you can disable it.

I'm not saying that a government app is necessarily the right or best way to go about this, but to suggest that this can be solved with education misses the point entirely. No amount of education is going to prevent someone on a bike swiping my phone from my hand and cycling off with it.

And as long as the app isn't otherwise spying on you (and there's no mention of that), I don't see much of what this has to do with freedom either. The freedom to steal someone's phone and use it without being blocked? There are already a bunch of apps on my phone I can't uninstall, so that's not new.
by vel0city | 2025-12-02 16:35:56+00:00
There's a number of new features to the Windows desktop experience, I'm not really interested in reenumerating all of Microsoft's marketing here.

Personally I find the Windows 11 desktop experience far better than 10, despite it possibly using 1% more of my system memory at peak times.

And FWIW, on my Windows 11 desktop explorer.exe is using 110MB, not even 200MB.
by macmac | 2025-12-02 16:36:09+00:00
I love this approach to learning music.

A nitpick: Isn't the below statement wrong? I thought "RolandTR909" was the name of the soundbank which is used for both bd and sd?

"bd is bass drum (also called kick-drums), sd is snare drum. RolandTR909 is the name of the sound."
by rvz | 2025-12-02 16:36:10+00:00
1. It matters.

2. Did ASML invest in Mistral in their first round of venture funding or was it US VCs all along that took that early risk and backed them from the very start?

Risk aversion is in the DNA and in almost every plot of land in Europe such that US VCs saw something in Mistral before even the european giants like ASML did.

ASML would have passed on Mistral from the start and Mistral would have instead begged to the EU for a grant.
by empath75 | 2025-12-02 16:36:53+00:00
> How will the Google/Anthropic/OpenAI's of the world make money on AI if open models are competitive with their models?

So a couple of things. There are going to be a handful of companies in the world with the infrastructure footprint and engineering org capable of running LLMs efficiently and at scale. You are never going to be able to run open models in your own infra in a way that is cost competitive with using their API.

Competition _between_ the largest AI companies _will_ drive API prices to essentially 0 profit margin, but none of those companies will care because they aren't primarily going to make money by selling the LLM API -- your usage of their API just subsidizes their infrastructure costs, and they'll use that infra to build products like chat gpt and claude, etc. Those products are their moat and will be where 90% of their profit comes from.

I am not sure why everyone is so obsessed with "moats" anyway. Why does gmail have so many users? Anybody can build an email app. For the same reason that people stick with gmail, people are going to stick with chatgpt. It's being integrated into every aspect of their lives. The switching costs for people are going to be immense.
by jqpabc123 | 2025-12-02 16:37:16+00:00
Understanding the patterns and why the model behaves like this is useful so it can be improved.

The answer to why is simple and obvious --- the model is probabilistic. Improving it substantially would necessitate a total redesign.

I don't think you can discredit the entire technology because it's not 100% perfect.

So dice rolling as a decision making tool shouldn't be discredited in your opinion?

Would you fly on a plane designed using similar "technology"? Anything better than double 3s says it's safe enough.

I expect the legal system to ultimately have a lot of input on the use of this. I don't expect "But AI said it was OK" is going to fly in court once people have been harmed. And once this starts happening, the enthusiasm for this "new technology" will start to wane ---after $trillions have been wasted.
by keybored | 2025-12-02 16:37:19+00:00
You have to take a step back. The first part is not about writing prose. It is about consuming it. And all publishers who are mainstream and respectable use proper English symbols. Now they might use ASCII apostrophe instead of the recommended left single quotation mark. But using a single hyphen or two hyphens or three hyphens for an em-dash is out of the question.

Literacy starts with consuming texts and doesn’t stop once you have learned to read comfortably. People who consume a more varied selection of prose than, say, programming mailing lists will have seen plenty of em-dashes in their time and won’t balk at people using normal punctuation.
by BeetleB | 2025-12-02 16:37:39+00:00
Not at all. Most people don't use 5 GB in data each month. Most people do drive.

> Mobile phone and unlimited high-speed internet are requirements for participation in society.

Sadly, I have to agree with you about mobile phones, due to 2FA. But unlimited high speed just for when you don't have Wifi a requirement? Nonsense.
by Duanemclemore | 2025-12-02 16:37:52+00:00
Eno has been an inspiration for my entire music listening life. U2's Achtung Baby and Zooropa - both of which Eno was a partner in making - came out in my preteens. It's tough for a kid in the rural midwest to find Brian Eno, but as soon as I got to a place with cultural access I was all over his work. And once Pandora and internet radio came out I was able to go deeper and in to contemporary composition and other related genres.

But even with almost 30 years of listening to this stuff, sometimes a really obvious one slips through the cracks.

I hadn't heard of or listened to Tim Hecker until just this year. And oh man, I haven't felt this way about finding a "new" artist in a long time. If you want a good entry point start with his mid-career Ravedeath, 1972 [0] and its companion Dropped Pianos (both of which feature the MIT Piano Drop on the cover) and work forward and backward from there.

[0] https://en.wikipedia.org/wiki/Ravedeath,_1972
by shagie | 2025-12-02 16:38:42+00:00
I'm gonna flip this around... have you tried pasting the image (and the relevant paragraph of text) and asking ChatGPT (or another LLM) to generate the alt text for the image and see what it produces?

For example... https://chatgpt.com/share/692f1578-2bcc-8011-ac8f-a57f2ab6a7...
by deelowe | 2025-12-02 16:38:48+00:00
Not exactly. Infra will win the race. In this aspect, Google is miles ahead of the competition. Their DC solutions scale very well. Their only risk is that the hardware and low level software stack is EXTREMELY custom. They don't even fully leverage OCP. Having said that, this has never been a major problem for Google over their 20+ years of moving away from OTS parts.