skysight-inc/HackerNews huggingface dataset:
Thankfully European statutes don't have anything to do with what words actually mean in the English language and don't override basic logic.

The idea that you have the right to control eg. my opinions about you, just because they happen to concern you, is fundamentally contrary to the most basic right we all have: freedom of expression. The cornerstone of civil and political rights.
The AWS Quicksight BI tool uses it underneath.
Links to check it out on HF and NIM.

HF:
https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-...

NIM:
https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253...
Gutsy Traders Make $1.5B Triple-Leveraged Bet on Nasdaq 100
> the GP Morgan head of futures department... I don't know if this is how he'd show up to his office in the bank

In case you mean JP Morgan, here's the CEO, Jamie Dimon, on cover of annual shareholder letter, back in ... 2015:

https://finance.yahoo.com/news/jamie-dimons-style-telling-jp...
Show HN: Dapto – AI Prompt and Response Firewall for Enterprises
Hi HN,
We’ve been working on a problem we kept seeing in enterprise GenAI rollouts:

As tools like GPT, Claude, and Gemini get embedded into dashboards, support tools, and business systems, most organizations have no control or context over what the AI sees, says, or shares.

That creates serious risks:
- Hallucinated answers
- Prompt injection attacks
- Data and PII exposure
- Industry compliance violations (e.g. HIPAA, SOC2, GDPR)

So we built Dapto , an enterprise-grade trust layer designed for companies that want to deploy GenAI safely, at scale, and with full governance.

See it in action - https://youtu.be/dxFb7Q12gcw

Here’s how it works:
- Validates prompts before they hit the LLM - catching jailbreaks, injections, and
policy violations
- Checks AI responses before they reach the user - to prevent hallucinations or
unauthorized content
- Auto-generates real-time metadata context from the input prompt
- Then re-verifies the AI’s response against enterprise data before it’s shown
- Detects and masks sensitive data (PII, financials, health info) as needed
- Keeps full logs, audit trails, and risk scoring, without changing your model or
app

But here's what makes it different:

We use a multi-agent architecture with:
- Vertical-specific AI agents (Finance, Healthcare, Legal, etc.) that understand
the unique compliance and domain context of your industry
- Horizontal supporting agents that handle metadata, hallucination detection,
policy enforcement, and data verification

You can build your own AI agents inside Dapto, with all safety and governance layers baked in.

It works out of the box with OpenAI, Claude, Gemini, Ollama, LangChain, and self-hosted models.

We’d love feedback, especially from folks building with LLMs in regulated or complex domains.

What are you using today for guardrails? Would this plug-in approach fit into your stack?

Thanks for reading.
www.dapto.ai
There are legitimate criticisms that AI is harming creative endeavours. AI output is sort of by definition not particularly innovative. By flooding spaces with repetitive AI work, it may be drowning out the basis for truly innovative creation. And maybe it does suppress development of skills it tries to replace.

The appropriation argument is somewhat unsound. Creative endeavors, by definition, build on what's come before. This isn't any different between code, creative writing, drawing, painting, photography, fashion design, music, or anything else creative. Creation builds on what came before, that's how it works. No one accuses playwrights of appropriating Shakespeare just because they write a tragic romance set in Europe.

The hyperbolic way you've made whatever arguments you had, though, is actively working against you.
I also don’t see the value of the distinction. You could say that the idea that human-created change is unnatural is a purely artificial construct.

What does concern me is the collapse of natural (meaning tested over millions of years) biodiversity.
Show HN: Track finances, make website with blog, manage tasks, all from one tool
This app lets you do all the typical things a business would do. Record transactions, track finances, make a website, maintain a blog, task management, all from same easy to use admin panel.
LLMs are still notorious for hallucination; last I checked ChatGPT in particular still hallucinates about 1/3rd of the time.

So yeah, I do still use search engines, specifically Kagi and (as a fallback) DuckDuckGo. From either of them I might tack on a !g if I'm dissatisfied with the results, but it's pretty rare for Google's results to be any better.

When I do use an LLM, it's specifically for churning through some unstructured text for specific answers about it, with the understanding that I'll want to verify those answers myself. An LLM's great for taking queries like "What parts of this document talk about $FOO?" and spitting out a list of excerpts that discuss $FOO that I can then go back and spot-check myself for accuracy.
do you think that if the Beatles never existed, some other group would have absorbed their fame, like a power vacuum being filled? I've wondered this before.

Or maybe they just really were that good.
Does different line wrapping result in difference in comprehension or reading speeds?
Are you former Yahoo CEO Scott Thompson? Because that’s what he said too.

https://www.forbes.com/sites/abrambrown/2012/05/08/yahoo-ceo...
If they're using -e with pipefail you can't check PIPESTATUS because the shell has exited.

If you use pipefail without -e, nothing happens, except the return status of the line is different (and thus using the option is pointless unless you're checking return statuses/PIPESTATUS, which of course nobody who uses this option actually does, because they don't know how it works)

From the Bash manual:

The return status of a pipeline is the exit status of the last command, unless the pipefail option is enabled. If pipefail is enabled, the pipeline's return status is the value of the last (rightmost) command to exit with a non-zero status, or zero if all commands exit successfully. If the reserved word ! precedes a pipeline, the exit status of that pipeline is the logical negation of the exit status as described above. The shell waits for all commands in the pipeline to terminate before returning a value.

pipefail
If set, the return value of a pipeline is the value of the last (rightmost) command to exit with a non-zero status, or zero if all commands in the pipeline exit successfully. This option is disabled by default.

They don't mention how the rightmost command might be the one failing due to the lefthand one failing if it's trying to read data and fails, or from a signal handler, or if you have multiple commands in the pipe and it's the first one that failed, or multiple because (again) maybe they're feeding input to each other and two of them failed, etc.

The use of this option is an anti-pattern. You don't even need it because you can check PIPESTATUS without it.

Everybody uses pipefail because bloggers and people on HN say to use it, but without actually understanding what it's doing.
I’d love to learn more about the pretty algorithm and the optimizations that have been tried out so far.

It seems like a pretty straightforward machine learning regression problem: given a sequence of word widths, find a line length which when applied to the sequence satisfy the constraint of being “pretty”.

Using a model would allow computing the answer in constant time.
We've known for a while that many if not most scientific journals are not great at peer reviews. A lot of junk gets through. Adding AI might be a good first step to catch major errors, but I suspect that what we really need is more rigorous requirements for publication.
I think the most salient point the artists make in the article is that the process of ideating and iterating on art is just as valuable, if not moreso, than the end result. You can get a good looking image from an AI generator but miss out on the ideas and discoveries you would otherwise make by actually working on that art.

I think it's also unfortunate how the advocates for AI replacing artists in gamedev clearly think of art as a chore or a barrier to launch rather than being the whole point of what they're making. If games are art, then it stands to reason the.. art.. that goes into it is just as important as anything else. A game isn't defined just by the logic of the main loop.
I find the exact opposite, LLMs are much better in giving larger views, google will just spit out whatever it matches with no concept of a larger view and no way to ask google to broaden it's search around a concept.
Here's a tip: do it for non devs (vibe coders).
The 360 was pretty big in high-energy physics. The numerical libraries used at the time (KERNLIB, some of which found its way into BLAS) were all written within the limitations of FORTRAN 77, something that was not needed for the VAX.
idk maybe ask switzerland, or the united states before 1980
This looks great, thanks! I didn't come across this this in my search but I'll definitely try it out.
I'm not sure there's an economic rational for this one so much as Trump hitting back at China for raising reciprocal tariffs to his tariffs.

It doesn't seem a great situation really. Smoot–Hawley 2.
Yep, that’s why I carefully chose the word “active”
Tech stack before AI vs. now
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This is just common sense, and if you think otherwise you're in the tiny minority.
It's not a culture war when attitudes towards gender evolve, just like it wasn't a culture war that some people are gay.

It's not a culture war until there's two sides, until a segment of the population throws a hissyfit because new ideas make them uncomfortable.
https://en.wikipedia.org/wiki/Variability_hypothesis

I guess you live up to your username, though not the most flattering interpretation of it :D :D
Deep Research is now available on Gemini 2.5 Pro Experimental
chat gpt search plugs in as a search engine and you can use it from your browser bar.... it also supports bangs like DDG, so you can do !g <search> and it will go to google, but I never find myself wanting google these days
Pix is amazing, really. The technical side is incredible—I remember reading or watching some really good content about the architecture, but I can’t recall exactly where and haven’t been able to find it again. All payments have to be completed in under 100ms, which is impressive considering how resilient the infrastructure needs to be to handle thousands of transactions per second.
If you enjoy this sort of automotive history, check out Brian Lohnes on YouTube
I just very recently tried using ChatGPT for a situation where’d I’d typically search, draw some conclusions, search again, etc. Basically, planning an open ended vacation.

The biggest issue is when GPT returns something that doesn’t match your knowledge, experience, or intuition and you ask the “are you sure?” question, it seems to inevitably come back with “you’re right!”. But then why/how did it get it wrong the first time? Which one is actually true? So I go back to search (Kagi).

So for me, LLMs are about helping to process and collate large bodies information, but not final answers on their own.
The news story is reporting on the new report from Ember think tank, which has interactive data charts on their site.

It shows solar PV as 6.91% of global electricity generation last year:

https://ember-energy.org/data/electricity-data-explorer/
Search for what is known, llm for exploration.

Boils down to the fact that the internet is full of shitty blogspam that search happily returns if your question is vague.
Vegas Myths Busted: AI Knows Anything About Las Vegas (2024)
The interviewer might be looking to see how you deal with bad specifications which, in my experience, are also often confusingly worded, vague and/or conflicting.
It is built using PHP Laravel framework, so the app is extendable to the point that Laravel allows.
Low-temperature adaptation of an enzyme studied through sequence reconstruction
>nowhere do we want to isolate as a country. Look at all the jobless Americans in once thriving industrial cities. Generations left without pensions or skills all because we outsource our workers to other countries.

And we didn't pay for re-skilling, re-training, re-education. We didn't give them welfare benefits to hold over while they learned these new things. We did near nothing, and expected these areas simply to pick themselves back up organically.

Of course that failed. When you do little to nothing, you get little to nothing in return.

Tariffs and manufacturing aren't going to solve this fundamental problem, which is as industry demands shift they externalize the cost whenever possible, which leaves workers, cities and states with a poor deal. If you instead plan around the fact you can't micro manage the economy, but you can setup a meaningful floor that catches people when industry shifts and allows them to invest in themselves - without fear of losing their livelihood - to take advantage of the next opportunities or better yet, create new ones - you wouldn't have this problem in the first place.

Tariffs won't help. Bringing manufacturing - in whatever capacity does get brought back, it remains to be seen if this will even happen - won't help alleviate this in any meaningful way.

On top of all this, the tariffs are here, and there is little plan beyond simply implementing them and...waiting for industry to magically start manufacturing in the US again? What is the actual plan here?

I frankly can't understand the undeserved optimism. If we wanted to make things better for formerly industrial cities, we should have invested in them and their citizenry decades ago. We failed to do this meaningfully. Thats the real problem, and they aren't fixing that problem at all
Where did you get this idea of a 'very corrupt authoritarian oligarchy'?
Brazil is not much different from any other democracy and is far less oligarchic than Trump's USA. Also, PIX is managed by our independent central bank."
Source code for Eurisko: github.com/seveno4/EURISKO

Source code for AM: https://github.com/white-flame/am
A very interesting and worthwhile article (better than the comments here would suggest). However, I find it a bit of a pity that the author places so much emphasis on the assumption that the project has failed. The approach has not simply failed because the search for a solution has been going on for forty years. It took even more than forty years and costed at least as much before neural networks became really useful, and nobody would claim that the project failed because of that. And today's LLM are not really that intelligent yet. Maybe Cycorp's knowledge base will be made generally accessible at some point, so that it can be used to train LLMs. Perhaps then a greater benefit of this data will become apparent.
I was amazed by China's behaviour in their trade war with Australia. They banned our coal. We were treated to the sight of Australia's coal transport ships as far as the eye could see sitting outside of China's ports. It caused havoc on the Australian side at the time, paying for all that shipping time, figuring out what to do with all the unwanted coal.

But China used that coal in their coal fired power stations. It was their winter. They were literally freezing in the dark. It went on for months.

FWIW, the usual take is Australia won that war. Australia didn't do anything in retaliation. We keep buying from China when they were cheapest, and busied ourselves by seeking out new markets for our products elsewhere. We would have been better off if it hadn't happened, but there was an upside - we developed new markets.

The trigger for all this was our then Prime Minister sided with Trump, in blaming China engineering COVID. True or not, poking the Pooh Bear like that was pure insanity. We got rid of that prime minister as soon at the next election.

Xi does take stands on principle, and he is willing to bear a lot of pain while doing so. If you doubt that, look at how he handled COVID. I don't think there can be much doubt that in a fight about principles between Trump and Xi, who is the most principled man. It isn't even close.
I use Kagi (paid) to search for websites/articles/PDFs and ChatGPT (4o) otherwise.

I started using Kagi in an attempt to de-googlify, but it turns out that it's just downright good and now I prefer it.
How would you deal with this common issue in many multiplayer shooters?:
- I see someone sniping
- I go behind a wall to safety
- I still die
From the enemy snipers perspective I was still in view when he shot.
From my perspective I was not.
Many game servers only roll back time to validate from the shooter's perspective.
In this case you'd want some logic to perhaps negotiate a compromise - like only dealing half damage.
I have memories of a similar escalator, probably at or near Downtown Crossing.

I don't remember it being made of wood, but I remember it being narrow and slanted downwards and kind of scary. Come to think of it, the station in general was very run down and a bit frightening to ~5yo me.

This would have been in the early to mid eighties.
>Yet no one with all his mind can deny that ai makes writing code faster, not necessarily better but faster, and games at the end are mostly codes.

It's actually quite easy, and not uncommon, to deny all of those things. Game code is complex and massively interwoven and relying on generative code that you didn't write and don't fully understand will certainly break down as game systems increase in complexity, and you will struggle to maintain it or make effective modifications -- so ignoring the fact that the quality is lower, there's an argument to be made that it will be "slower" to write in the long term.

I think it's also flat wrong to say games are "mostly codes" -- games are a visual medium and people remember the visual/audio experience they had playing a game. Textures, animations, models, effects, lighting, etc. all define what a game is just as much if not more than the actual gameplay systems. Art is the main differentiating factor between games when you consider that most gameplay systems are derivative of one another.
Here's to the next decade of getting paid to clean up after "rockstars."
If I had to guess, it has more to do with the type of person who is willing to save diligently for decades. Government work (at least until the last few months) tended to be lower paying but steadier. The type of risk-averse person who takes a government job is also more likely to save over time, taking advantage of compounding. Just correlated, in other words.
Entirely unrelated, but I've not heard anyone describe it as `outsourcing understanding` until now. That's a great phrase.
https://bookshop.org/p/books/the-bill-gates-problem-reckonin...
It's not even necessarily 4 years. If the economy crashes hard there's a very real possibility of a Democratic congress that takes control of tariffing away from the President and removes all of this nonsense. That election is only 18 months away.
> space aliens on Earth

I, like most UFO witnesses, can tell you we don’t think they’re human in origin. And disbelieving an entire fleet of military pilots and support officers as they explain under oath UFO videos they were involved with .. because of entertainment shows is, well, kinda funny in this context. Especially since NYT dropped those videos. I doubt any amount of journalism, testimony, or videos would change your mind as you say .. whatever it is you’re saying.
> I know the graphics chip is better.

Graphics? We used these machines with 9600 baud serial terminals.
You're proving my point. If full human level general intelligence is "basic" then you have set the bar ridiculously high for generalization.
If IBM mainframes had amazing MIPS/$ IBM would make sure the world knows it.
Next you'll say I can't speed run 2048 by shoving everything down and to the right.
If whatsapp is down, people will find another way to communicate, there is nothing inherent to whatsapp that can't be found somewhere else. I wish to see it too.
I was hired by MS wearing a suit in the 2000s
no one should get nutritional advice heath professionals who are not nutritionists.

Nobody should take advice from nutritionists. It's not a regulated title. Anyone can call themselves a nutritionist. Take your nutritional advice from dieticians (and licensed medical professionals with relevant training and experience).
Animation Library for Tailwind
You mean assembled in the US, made from imported parts sourced from all over the world?
"Lullaby, lullaby, swindles and schemes. Flying's not near as much fun as it seems."

-- Peter S. Beagle, The Last Unicorn
How are you paying for a cab with crypto while travelling? For international payments, cards like Wise is simple and it works. You raised question about currency and the govt that manages it. The same question is true for most crypto as well; extreme volatility is not good for a currency.
Honestly, I'm pretty encouraged by all of the projects and efforts within legislation and organizations regarding clear lines being drawn - i.e., through watermarking to clearly label whether something is AI-generated or not - as well as the efforts by industries for livelihoods to be protected, specifically in the creative space, where human intentionality and feeling are still of the utmost essentiality. We've seen, are seeing, and will see cultural and societal acceptance and backlash against one thing or another, but I'm confident that we will adapt. Ultimately, pushback, thanks to the Web itself, is already pretty monumental among artists and even other AI researchers in many respects - regulations for the internet, largely due to lack of the Web, were far slower to materialize, on an exponential scale. I remain optimistic that we will find the niches where AI is needed, where it isn't, and where it is detrimental.
chatGPT search puts links through out its results and has a sources button that shows all the sources it used. Just a headsup as I think a few people are getting this wrong, this isn't chatgpt but chatgpt search, chatGPT search is trying to find source information and then summarizes it, you can then go to those source. It's up to date with all current events etc.
What You Need to Know About Trump's Tariffs – It's about China
>$40 an hour in Austin Tx

Less than I make currently, and I don't live in one of the S/HCOL cities either.