skysight-inc/HackerNews huggingface dataset:
I guess the idea is that the customers are the ones interacting with the LLM and we are homeless if this thing goes that way. Probably saves a lot of their money in exchange for some of their time..

I personally do not think any of this is a good idea but here we are.

And I was making fun of AI images with the weird fingers and shit just a year ago, now it's hard to identify AI generated images. The code gen now can create a single file space invaders which is impressive but shitty according to all coding metrics.

They are getting better. At some point the single file shit stew will be good enough cause the context windows and capabilities of LLMs will be able to handle those files. That's when nobody gonna care I guess.
It's way too early in this technology maturity lifecycle for this to be a prime focus. Despite the naysyers, innovations in this space are happening on a weekly if not daily pace.

Matirity, convergence and eventual standardization will organically arise down the line as the space settles down, but that time is not now.
I also use zoho (for mail, calendar, contacts) for my family and I...and yeah the first time i set it up with DavX5, it was odd to say the least...though not sure if it was zoho's fault, or maybe both some possible glitch with zoho and DavX5, that didn't quite jive with my brain - at first. Now, i see no issues with Davx5 and zoho cal and contacts...at least it sync really well on my android phone. I have not tried Evolution for years (and certainly not with zoho yet), since i tend to default to thunderbird...But am about to set up my partner on one of the Gnome-based linux distros once their Windows 10 dies later this year...and considering how they like to use their computer and their workflow, gnome seems most appropriate for them, so have been considering suggesting for them to us Evolution as email client...so will be interesting to see how zoho works there. (Glad to hear it works for you!) As i noted, i like to use thunderbird, and as far as mail and calendar, actually i guess i have been lucky, since zoho seems to be working great for me - and for a couple of years now! However, contacts synching has never worked right - like, never at all. Sure i can export contacts from zoho and import them into thunderbird...so the issue is not the basics of contacts functionality within thunderbird per se...but the syncing between t'bird and zoho is certainly an issue, and have not had a chance to dive deeply enough to see if the issue is a t'bird issue or zoho...although like calendaring on my android phone, contact synching is not an issue with zoho from my phone (again via Davx5)...so, i'm confused. But, agreed with your points: i'm happ[y zoho customer, but they're not perfect...then again, at their low costs, i kinda can't complain too much. ;-)
Social mobility index doesn’t really look at how easy it is to become very rich (I.e. get into the 1%). This is also explained in the methodology section of the article you linked.
FYI, the Amersham train just left.
Like how my biggest weakness is that I work too hard.
> separate the IO from the computation.

Can you please elaborate on this point? I read it as this web page (https://wiki.c2.com/?SeparateIoFromCalculation) describes, but I fail to see why it is a functional programming concept.
In my opinion that was step in the right direction, but the protocol design is truly weird. Somehow managing to come up with 4 different ways to encode length of byte strings in otherwise so simple protocol is remarkable achievement.
There is no reason you can't use side effects in pure functional programming. You just need to provide the appropriate description of the side effect to avoid caching and force a particular evaluation order. If you have linear types, you do it by passing around opaque tokens. I'm not entirely sure how IO works in Haskell, but I think the implementation is similar. Even C compilers use a system like that internally.
Varnish is amazing. Nowadays people blow up projects with kubernetes, JS frameworks, million other tools, while the same can be achieved with varnish+nginx with much less efforts.
I think you and I must have different definitions of the word "hype".

To me, it means LinkedIn influencers screaming "AGI is coming!", "It's so over", "Programming as a career is dead" etc.

Or implying that LLMs are flawless technology that can and should be used to solve every problem.

To hype something is to provide a dishonest impression of how great it is without ever admitting its weaknesses. That's what I try to avoid doing with LLMs.
> Are you at all concerned that plugging stuff like this into ChatGPT is leaving you with weaker cognitive muscles?

Couldn't this very same argument have been used against any form of mental augmentation, like written language and computers? Or, in an extended interpretation, against any form of physical augmentation, like tool use?
LLM Extraction Challenge: Fundraising Emails
Isn’t this just a cheeky joke? I.e. “if Einstein is right about this whole theory of relatively thing”
Maybe that is your biggest weakness.

Maybe working less hard on higher impact things would be better. Or maybe you'd be more creative if you didn't work so hard.

It's definitely worth exploring.
I thought Kmart filed for bankruptcy, liquidated, and isn't a thing anymore, then saw the link for the mushroom lamp goes to www.kmart.com.au. Seems the blue light lives down under now?
Every startup that uses AI (plugging APIs together with little to no in-house model training or novel research) that is banking on AI continuing to improve to smooth over their issues will likely not last.

LLM API driven startups should build their product assuming zero improvement from the point we're at right now since that's the only guarantee anyone has.
I am glad you are finding the time to avoid contaminated industrial processed food.

In the apple sauce contaminations the apple sauce is always cinnamon flavored. When tested for various heavy metals, cinnamon usually has unsafe levels of heavy metal contamination, and lead is usually one of the metals: https://tamararubin.com/2024/12/six-cinnamon-products-chart/

There is widespread contamination in spices because the machinery that processes most spices is made of metal with lead. Some of the lead may be unintentional contamination, but lead is also used intentionally because it is cheap and useful. I believe it is useful for grinding, etc because when used in an alloy the metal doesn't wear down as easily.

So if you want to replicate those apple sauce products without heavy metal you would need to buy cinnamon sticks and grate them yourself.
It doesn't really change things that much if the system was already corrupted. Human boards can just as easily state "risk" or anything else in their reviews to deny parole. Algorithms can make corruption and rights-denial more efficient and this can then be used to replace any remaining human boards that were genuinely trying to do a good job in determining fit for parole. Its actually pretty dystopian when I put it that way though.
GPL gives more freedom to software users.
BSD gives more freedom to software developers.

I think that's the core difference.
China's formidable logistics sector challenges Trump tariff enforcers
The goal isn’t actually specifically employment increases, that’s mostly a marketing strategy, the real goal is national security. US, Japan, and South Korea seem to have decided enough is enough with Chinese aspirations and threats to Taiwan, so US has convinced them to build additional capacity in the US and also to have those nations increase defense spending. Notice Japan has started joining NATO command and participating in NATO missions. I predict Japan will the be first “deal” announced by Trump administration, with South Korea soon afterwards. It makes sense for these allies, the logic is we should fortify our supply lines building redundant facilities in US homeland which is much harder for China to disrupt and attack, you guys start buying lots of F-47s, we start massive ship building, re-industrialize as rapidly as possible. Then should China try anything and somehow mess you guys up, the US will come back a get you out of it.
> I have no idea, and I'd have to know more context before thinking my opinion matters. For example, just off the top of my head: (1) What are the fines for comparable things in other countries (in an out of Europe)?

Even in Germany, I don't believe a meme like this one would typically incur any fine.

> (2) "Bendels has no criminal record" -- does that mean he was never convicted of defamation, or is that a red herring because defamation a civil (not criminal) matter?

My understanding is that he has now been convicted of criminal defamation (so it should probably be past tense), but had no such prior convictions.

> I can't help to notice how with just a little bit of context we've come from reacting to "A journalist in Germany was just sentenced to seven months for posting a meme" to deciding if a fine was disproportionate.

I don't personally believe there should have been any fine or prison sentence for posting the meme. I ask you whether you think the fine seems disproportionate based on current information because I see that as the smallest and most likely concession for you to make, assuming you can be intellectually honest, not because the fine being disproportionate is the full extent of my stance.

> With all that, the only sensible answer I can give is that I don't know. It's useless to be outraged by something that might be a non-story.

We've got the original post, the court's sentence and reasoning, and most other information you want to know could be researched online. There has to be some point at which we start publicly discussing an issue - that doesn't prohibit us from updating our views if there really is some decisive new evidence.
Yes, they were wrong. Many young kids who are bad at mental calculations are later competent at higher mathematics and able to use it. I don't understand what patterns and tricks you're referring to, but if they are important for problems outside of mental calculations, then you can also learn about them by solving these problems directly.
roight but not every company is making their own language / framework
Orienteering is a fantastic sport. I've been doing it my entire life.

The orienteers I've known have been some of the brightest and fittest people I've ever met (going to Cambridge, Oxford), doing all sorts of interesting things, and are some of the best runners you can find. One of my closest orienteering friends was disappointed in running sub-2:40 in his first marathon.
https://archive.is/cnkQ7
https://web.archive.org/web/20250409073703/https://www.the-i...
That’s funny; My biggest strength is that I don’t.
Interesting, been tinkering on a similar project of my own. Main similarity is also combining database/server-simulation even if it seems like some parts of the design might differ. Gonna take a deeper look when I get home later.
Also, it would require democrats and republicans working together for the common good, which is not a thing anymore.
VoxOps: Natural Voice Alerts for DevOps
There is a deluge of experts in economics and other fields who clearly state this is not the right approach to bringing manufacturing to the US. Why wouldn't we trust experts in their fields?
Fraud or a piece of performance art.
This is why they thought they were suspicious and were investigating.
o4-mini? It is a rumored model building up on o3, and different from 4o-mini. Sorry, their naming scheme is a mess. Would be cool if you do have o4-mini access though.

https://www.theverge.com/news/646458/openai-gpt-4-1-ai-model
> Creating domestic jobs this way doesn't have a great track record however

Especially when you gut the DoE and make zero effort to invest in either higher education or trades training.

If US wants a manufacturing revolution it needs to start with an education revolution.
Won't the general purpose models eventually eat all the application layer business models?

Now that ChatGPT desktop can read files in my code editor and apply changes I've pretty much stopped using dev specific AI tools. Same with spreadsheet problems - where uploading data to ChatGPT and hoping for the best actually works pretty well now.
Show HN: Itura – Deploy Agentic Applications to the Cloud
I built Itura because deploying Python AI agents (using Langchain, CrewAI, etc.) felt harder than it should be. I kept getting bogged down in setting up servers, Docker, CI/CD pipelines, and scaling, instead of focusing on the agent logic itself.

Itura is my attempt to simplify this: a platform to deploy Python agents directly from GitHub without managing infrastructure.

How it works:

1. Code: Structure your agent with a simple Flask /run endpoint and a requirements.txt.

2. Connect: Link your GitHub repo to Itura.

3. Configure: Add necessary environment variables/secrets via the Itura UI.

Itura then automatically packages your code, deploys it to a serverless environment, and gives you a unique API endpoint (e.g., https://your-agent.agent.itura.ai). You trigger your agent via an async HTTP POST to /run. Pushing to GitHub redeploys automatically.

The goal is to let you focus purely on the Python code while Itura handles the deployment, scaling, and basic monitoring (logs/status).

Looking for feedback:

I built this initially for myself, but I'm curious if it solves a real problem for others, too.

- Is this kind of simplified deployment useful for your agent projects?

- What are your biggest headaches when deploying agents today?

- Any crucial features missing for a platform like this?

We're currently in Open Beta with a free tier available. Really appreciate any thoughts!

- Website: https://www.itura.ai/

- Get Started (Open Beta Sign-up): https://app.itura.ai/

- Blog Post (More Details): https://www.itura.ai/blog/introducing-itura
Good question, I honestly don't know anymore. Some manifestation of soft power that vanished into the air?
No. The biggest concern is that the conversation is going to be dull as heck because all you've got is a list of AI generated topic starters rather than any sort of meaningful capacity for conversation or meaningful structure for the conversation (either in narrative or pedagogy).

And if you are marketing this as taking 3 minutes and saving 95% of your time then this means it saves all of... one hour. Not exactly the bulk of the time spent producing a podcast episode.
> the real issue is that they don't have any more production capacity in the US

Economists selling people on free trade like to omit this, but production capacity, efficiency, cost, and technical know-how, aren't static, but improve based on demand.
How much volume are we talking about. I don't know the important numbers but my guess is the automotion needed to get the in us cost down is more than they sell. That is a million dollar machine that repleces 60 workes is a bad investment when they only have one worker.
Show HN: HIGGS – new sota data-free LLM quantization
My colleagues and I wrote a paper and integrated it into transformers.

It has more of both accuracy and speed than NF4

We have compressed hf models for everyone to try: https://huggingface.co/collections/ISTA-DASLab/higgs-675308e...
Prior Labs | Founding-Team: Software Engineer, Data Scientist, ML Engineer, Product Manager, Developer Relations| On-Site (Berlin, Freiburg) | Full-time

Prior Labs is building foundation models for structured/tabular data – AI's biggest blind spot. While LLMs handle text/images, tables (numbers, categories, text mix) need native understanding. Our approach, TabPFN (published in Nature, 1M+ downloads, 3k+ GitHub stars), uses transformers pre-trained on synthetic data to achieve state-of-the-art results on small datasets zero-shot.

We're tackling a $100B+ opportunity to transform data science, finance, healthcare, and science. Backed by €9M pre-seed from Balderton, XTX Ventures, and leaders from Hugging Face, DeepMind, etc.

We're hiring a founding team to build this new category:

Software Engineer: Build scalable infra & APIs.
Data Scientist / ML Engineer: Optimize & scale our TFMs.
Product Manager: Define the vision for AI-native tabular tools.
Developer Relations: Grow our community & drive adoption.
Location: On-site in Berlin or Freiburg (we build together).
Offer: Competitive salary + significant equity. Shape the future of AI for structured data from day one.

Apply: https://jobs.ashbyhq.com/prior-labs

Questions? Reach out at noah@priorlabs.ai
Michael Scott: Why don’t I tell you what my greatest weaknesses are? I work too hard, I care too much and sometimes I can be too invested in my job.

David Wallace: Okay. And your strengths?

Michael Scott: Well, my weaknesses are actually strengths.

David Wallace: Oh. Yes. Very good.
There is a direct correlation between complexity of the state model and the risk it imposes. State doesn’t have to be risky at all. If in an application there is only a single state object and it’s only a single dimension in depth it is never the pain point. In fact it helps to identify where the actual pain points are elsewhere in the application.

This is why I will never touch something like React, a self inflicted wound.
German politicians are known for lodging countless complaints for the slightest insults online. [0]

The 60 minutes segment was also quite revealing of the (in my opinion, poor) state of free speech in Germany. [1]

As Bill Maher said, "Germany is so afraid to look like their Nazi past, that they're knocking on people's doors, taking people's phones and computers if you insult people online."

[0] https://www.spiegel.de/politik/deutschland/gewalt-gegen-poli...

[1] https://x.com/60Minutes/status/1891282394440732787
learn.microsoft.com is going to be one of your better resources.
Illuminating single atoms for sustainable propylene production
I think in light of recent events, it's more relevant to talk about Google's firing process...
Web pages mostly aren't applications though. Like people will sometimes post links to corporate engineering blogs here that require javascript (Uber comes to mind). It's purely a document; there's no interactivity at all. Making it an "application" is just incompetence (it's more expensive to develop and gives a worse user experience).

It might be true that applications actually are web pages now (e.g. Slack, WebEx), but I almost never encounter web pages that are actually applications.
Billions pour into AI as emissions rise – returns stay pitiful, say Stanford HAI
Think of it like other features:

* Encapsulation? What's the point of having it if's perfectly sealed off from the world? Just dead-code eliminate it.

* Private? It's not really private if I can Get() to it. I want access to that variable, so why hide it from myself? Private adds nothing because I can just choose not to use that variable.

* Const? A constant variable is an oxymoron. All the programs I write change variables. If I want a variable to remain the same, I just wont update it.

Of course I don't believe in any of the framings above, but it's how arguments against FP typically sound.

Anyway, the above features are small potatoes compared to the big hammer that is functional purity: you (and the compiler) will know and agree upon whether the same input will yield the same output.

Where am I using it right now?

I'm doing some record linkage - matching old transactions with new transactions, where some details may have shifted. I say "shifted", but what really happened was that upstream decided to mutate its data in-place. If they'd had an FPer on the team, they would not have mutated shared state, and I wouldn't even need to do this work. But I digress.

Now I'm trying out Dijkstra's algorithm, to most efficiently match pairs of transactions. It's a search algorithm, which tries out different alternatives, so it can never mutate things in-place - mutating inside one alternative will silently break another alternative. I'm in C#, and was pleasantly surprised that ImmutableList etc actually exist. But I wish I didn't have to be so vigilant. I really miss Haskell doing that part of my carefulness for me.
Why are we still suffering?
We have everything we need. Physical needs are met. We are advancing technologically to unprecedented heights.

Yet we are only becoming addicted and craving more dopamine, and more anxious than ever.

What does it tell us about the human brain?
It's also the organization that rolled out the second large stored-credit contactless payment system in the world (after Hong Kong), and was the first to introduce bank card contactless payments.
Those Dire Wolves Aren't a Scientific Breakthrough
Roame (YC S23) Is Hiring: Founding Product Designer
Same. I disabled calls from non-contacts, and then my phone stays in silent mode all day, unless I expect calls, like friends coordinating a meeting etc.

I also mostly keep it away, either in my pocket or on a shelf. Or wherever I left it. There's no hard rule, I just don't care.

All on-screen notifications are blocked except for messengers (not that I had notification spamming apps in the first place).

This created a unique setting where I'm all my own. It's not an immediate value, it builds up in months.
Yes, EVs still have a 12V battery, but it’s not always lead acid. Tesla, for example, switched from lead acid to Li-ion 12V batteries in all their models several years ago. So have Porsche, even in combustion models I believe.
This is flagged and I kinda get it, but this a genuinely correct observation.
Possibly the longest email address I've ever seen!

usarmy.jble.tradoc.mbx.eustis-tboc-dtl-helpdesk@mail.mil
Why not just put the conversation / prompt at the end of the commit/PR message? That way you have everything in one consistent database and don't run the risk of losing it.

Additionally, you get more directly usable text out of a 'git blame'
The boundary between the program and the rest of the system allows I/O of course. What FP does is "virtualize" I/O by representing it as data (thus it can be passed around). Then at some point these changes get "committed" to the outside. Representing I/O separately from how it is carried out allows a lot of things to be done, such as cancelling (ctrl+z) operations.
So the top of a very tall tower...
Somehow haskell and friends shifted the discussion around functional programming to pure vs non-pure! I am pretty sure it started with functions as first order objects as differentiator in schemes, lisps and ml family languages. Thus functional, but that's just a guess.
That’s about as likely to happen as everyone deciding to stop doing illegal drugs because they’re bad for us.
Tell her to be polite, learn the most basic French sentences and say bonjour/bonsoir to bus drivers, shopkeepers and hotel staff, and she'll be more than fine.
Didn't you ever grep a text document written in a language other than English? No processing of CSV files in different charsets? Not even encountered a file with a non-English character in the name? Not to mention the folks who deliberately set LANG so that their compiler and everything else will give them localized error messages. This stuff was all much worse 25 years ago, even 15 years ago. Like them or not, I do think emojis have helped drive forward much better Unicode handling across the whole stack, including the command line.
>Then Apple gave up on US manufacturing.

Then Tim Cook gave up on manufacturing. Which was how it saved Apple.

Steve Jobs always had a somewhat fantasise vision of dark factory. He wasn't able to accomplish that when Apple was still fighting for survival. But now Apple has more cash then it knows what to do with it.
The real question is, why does Google have so many half-baked products in general, only to end up killing them off?
> You can tell the author has built a lot with Go

That was the funny part from the intro of the article - the author had not, in fact, build a lot with Go at the time.

But, it proves you don't actually need to in order to become knowledgeable about a subject and / or write a book.