MurphyA/hacker-news huggingface dataset:
by cypherpunks01 | 2026-02-04 22:29:14+00:00
Yeah, I think the multilingual improvements in V3 caused some kind of regression for English - I've noticed large blocks occasionally dropped as well, so reverted to v2 for my usage. Specifically nvidia/parakeet-tdt-0.6b-v2 vs nvidia/parakeet-tdt-0.6b-v3
by generic92034 | 2026-02-04 22:29:23+00:00
So, do their AI devs have deep knowledge of the business processes, regulations/legal (of course in all kinds of regions), scaling, security, ... ? Because the LLMs sure as hell are lacking that knowledge (again, in depth).

Of course, once AGI is available (if it is ever) everything changes. But for now someone needs to have the deep expertise.
by sho_hn | 2026-02-04 22:30:10+00:00
I still think this is mostly people who never could hack it at coding taking to the new opportunities that these tools afford them without having to seriously invest in the skill, and basking in touting their skilless-ness being accepted as the new temporary cool.

Which is perhaps what they should do, of course. Any transition is a chance to get ahead and redefine yourself.
by mym1990 | 2026-02-04 22:30:41+00:00
We are certainly closer now to being able to prototype and go to market faster with a product. In one weekend is a little much but I think its hard to deny that building will continue to expedite. What most developers don't think about is that the marketing, sales, customer service are all non-trivial parts of the business/product and all require legwork that is more than just sitting at an IDE. The nail in the coffin is that the data is a large part of company moats, and new products need time in the market to get that. Migration is also a long process and risky...so to get customers, a newcomer needs to provide way more value than what the incumbent gives.

I imagine you're going to have people trying to automate the whole GTM lifecycle, but eventually the developer that thinks they can bootstrap a one man enterprise without actually doing any kind of social interaction will run into a wall.
by vercaemert | 2026-02-04 22:30:47+00:00
(In case anyone else from the thread is reading, this isn't about your comments. It's just directed specifically at this person.)

It sounds to me like you would find some solace by working a little harder to internalize the fact that many people are, in fact, very stupid.

Just use IQ. Maybe you're closer to 130; the scale is built such that interactions with the average person (with a score of 100) come across to you as those with an intellectually disabled person (score 70) come across to the average person.
by AngryData | 2026-02-04 22:31:58+00:00
But at the same time a domestic insurrection means your enemies have direct access to all of your most important infrastructure and logistics and supporting economy. It might be expensive to fly or float materials and people over to the middle east, but you don't gotta worry about 1000+ miles of pissed off insurgents potentially around every bend and tree or mixed into your own military or logistic personnel.
by kakacik | 2026-02-04 22:32:00+00:00
They will magically realize this when their huge bonuses will be tied to something longer lasting than last quarter/year performance on some very narrow metric (which has nothing to do with sane stuff like adding long term value to some part of the company).

They are not stupid, far from it, most are (very) high functioning sociopaths. And out and up there its everybody for themselves first.
by aspectrr | 2026-02-04 22:32:14+00:00
Hey no problem! I'll work on the demo more. I discuss this in my comment here: https://news.ycombinator.com/reply?id=46889704&goto=item%3Fi...

and on the website: https://fluid.sh

But fluid lets AI investigate, explore, run commands, and edit files in a production-cloned sandbox. LLMs are great at writing IaC, but the LLMs won't get the right context from just generating an Ansible Playbook. They need a place to run commands safely and test changes before writing the IaC. Much like a human, hence the sandbox.
by infogulch | 2026-02-04 22:33:14+00:00
How I see SQL databases evolving over the next 10 years:

1. integrate an off the shelf OLAP engine
forward OLAP queries to it
deal with continued issues keeping the two datasets in sync
2. rebase OLTP and OLAP engines to use a unified storage layer
storage layer supports both page-aligned row-oriented files and column-oriented files and remote files
still have data and semantic inconsistencies due to running two engines
3. merge the engines
policy to automatically archive old records to a compressed column-oriented file format
option to move archived record files to remote object storage, fetch on demand
queries seamlessly integrate data from freshly updated records and archived records
only noticeable difference is queries for very old records seem to take a few seconds longer to get the results back
by like_any_other | 2026-02-04 22:33:19+00:00
> I ask myself every time I hear that Thiel is a "libertarian" _while also_ being the founder of the biggest surveillance dragnet ever created: what about surveillance is libertarian?

Surveillance does not directly violate the non-aggression principle, and a myopic adherence to minimal principles without any consideration to where they lead is the central feature of libertarianism.
by CuriouslyC | 2026-02-04 22:33:39+00:00
I mostly ignore code, I lean on specs + tests + static analysis. I spot check tests depending on how likely I think it is for the agent to have messed up or misinterpreted my instructions. I push very high test coverage on all my projects (85%+), and part of the way I build is "testing ladders" where I have the agent create progressively bigger integration tests, until I hit e2e/manual validation.
by agentzed | 2026-02-04 22:33:42+00:00
Too true.

Quantum mechanics as understood is flawed, consciousness is universal potential subjectively bound to particulate, animated by living biotechnology, and squares of this day still refuse to wink at “magic.”

Pyramids are human engineering. “The Greys” are our Earth mates. America’s nuclear suicidal tendencies have revoked your right to deny. I speak only for the ascendency of Man.

Have fun flat landing stoic, I know you’re really a bleeding heart.
by sho_hn | 2026-02-04 22:34:02+00:00
I think it's the performative aspects that are grating, though. You're right that even many systems programmers only look at the generated assembly occasionally, but at least most of them have the good sense to respect the deeper knowledge of mechanism that is to be found there, and many strive to know more eventually. Totally orthogonal to whether writing assembly at scale is sensible practice or not.

But with the AI tools we're not yet at the wave of "sometimes it's good to read the code" virtue signaling blog posts that will make front page next year or so, and still at the "I'm the new hot shit because I don't read code" moment, which is all a bit hard to take.
by cortesoft | 2026-02-04 22:34:10+00:00
One of my first professional coding jobs was in 2007 when Facebook first introduced 'Facebook Apps'. I worked for a startup making a facebook app, and EVERY SINGLE app company had the same monetization strategy: Selling ads for other facebook apps.

So the lifecycle of an app would be:

1) Create your game/quiz/whatever app.

2) Pay a successful app $x per install, and get a bunch of app installs.

3) Put all sorts of scammy "get extra in game perks if you refer your friends" to try to become viral.

4) Hope to become big enough that people start finding you without having to pay for ads.

5) Sell ads to other facebook app startups to generate installs for them.

It was a completely circular economy. There was not product or income source other than the next layer of the pyramid.

It didn't last long.
by insom | 2026-02-04 22:34:17+00:00
Well for marketing and sales your bigger competitor is already doing the work of showing companies that they want the functionality at all, and the cheaper competitor's sales and marketing pitch can be: we are much cheaper.

This is pretty much what blacksmith.sh does -- GitHub Actions but it's on faster and cheaper hardware. I'm sure they spend non-trivial amounts on marketing but "X but much cheaper" doesn't sound like a difficult sale.

(edit) And the design, sadly, can be as simple as "rip-off bigger competitor" -- of course if one day you are the big competitor because you "won" in the market, you'll need to invest in design, but by then I guess you'll have the money?
by servo_sausage | 2026-02-04 22:34:22+00:00
I see a whole lot more that end up at libertarianism as almost the default answer to "what philosophy most emphasis less government".

It's a generational thing I think, you see public money being spent on junk, and laws used to entrench and make competition hard; and you think "why do we want the government to do these things at all?". And if you look at common ideas around 20 years ago, the default answer was libertarianism.
by wavemode | 2026-02-04 22:34:34+00:00
The steelman argument is that super-intelligent AGI could allow any random person to build destructive technology, so companies on the path toward creating that ought to be very careful about alignment, safety and, indeed, access to weights.

The obvious assumed premise of this argument is that Anthropic are actually on the path toward creating super-intelligent AGI. Many people, including myself, are skeptical of this. (In fact I would go farther - in my opinion, cosplaying as though their AI is so intelligent that it's dangerous has become a marketing campaign for Anthropic, and their rhetoric around this topic should usually be taken with a grain of salt.)
by retrac | 2026-02-04 22:34:36+00:00
The new RP 2350 has an enhanced PIO that relaxes some of the constraints the author ran into here.

Also the new HSTX (high-speed serial transmit) unit is really well suited for rapid line coding.

Here's a different project that generates a high resolution high depth VGA signal from the RP 2350: https://www.breatharian.eu/hw/disphstx/index_en.html

And here's NTSC composite using just the original PIO: https://github.com/obstruse/pico-composite8
by elcritch | 2026-02-04 22:35:02+00:00
I don’t trust them. I run tests and I review the code generated by the LLMs. About 1/5 times I’ll just git reset the changes and try again.

You have to push for them to add tests. It also helps if you can have the LLM just translate from C++ to Nim.

We’re certainly not at the age of LLMs generating code on the fly each time.
by vegabook | 2026-02-04 22:35:02+00:00
With a new agentic-lashup tearing across the internet every week, pointing the way to "gradient descent" software development, any purchasing manager worth their salt is going to ask some serious questions about their enormous SaaS bill before committing to another expensive long term contract. It follows that valuations must decline. Even if only because risks to moats have increased, but also because it makes sense to negotiate hard on pricing when there's fear in your counterparty.
by gwbas1c | 2026-02-04 22:35:16+00:00
Reminds me of the story of when the Surgeon General (in the US) reported that smoking causes cancer.

People stopped smoking immediately, and cigarette sales tanked. The cigarette companies laughed (with all the phlegm in their throats and lungs) and sales came back 1-2 weeks later.

I suspect in a few months or a year companies with vibe-coded replacements for SaS products will find they need to go back: But, just like how many less people smoke today than in the past, the writing is clearly on the wall. At some point someone will figure out how to replace SaS with AI; it's just going to take a lot longer than many think.
by littlecranky67 | 2026-02-04 22:35:16+00:00
> Most normal currencies are the same as bitcoin/crypto in that they are mostly digital but at least they have some mostly agreed upon value within their system

The Dollar has an agreed-upon value of 1 Dollar per Dollar, the Euro of 1 Euro per Euro and the Bitcoin of 1 Bitcoin per Bitcoin. There are no agreed-upon values in any currency in free market. In socialism, they would dictate that a pound of butter had to cost 1unit of some currency. But in capitalist free markets, the value of a currency is always measured realtive to others things, being it goods (such as a standardized shopping baskets used for CPI) or other currencies or assets. For example, there is no way to determine if the dollar raised or fell - it always has a value of one dollar. But there is the DXY ("dixie") dollar index, where the value of the dollar is measured by its trading price with a basket of other currencies. Now if the DXY falls, you can say the dollar lost value. You could also say, the foreign currencies increased in value. It is always relative.

Plus, 100 dollars bought a whole lot of things 50 years ago, a lot less things 30 years ago, and today the same 100$ buy a lot less than that. There is no agreed upon value, it is supply and demand.
by moegevirtz | 2026-02-04 22:35:28+00:00
What strikes me is the game-theoretical outcomes. As automating digital actions becomes more common and more convincing, the value of errors and "authenticity" goes up.

I don't see how these agents can generate income. They are cost centers. Perhaps, useful, as sifting through the increasing volume of "content" becomes useful. But doing so sets of an arms race. These always lead to rupture and a new equilibrium.
by sjsisjsh | 2026-02-04 22:35:53+00:00
I think a lot of AI bros are sleeping on quality. Prior startup wisdom was “move fast and break things”. Speed is ubiquitous now. Relatively anyone can vibe code a buggy solution that works for their happy path. If that’s the bar, why would I pay for your jank solution when I can make my own tailored to my exact needs? Going fast is a race to the bottom in the long run.

What’s worth paying for is something that is trustworthy.

Claude code is a perfect example: They blocked tools like opencode because they know quality is the only moat, and they don’t currently have it.
by jorvi | 2026-02-04 22:36:02+00:00
Current LLMs often produce much, much worse results than manually searching.

If you need to search the internet on a topic that is full of unknown unknowns for you, they're a pretty decent way to get a lay of the land, but beyond that, off to Kagi (or Google) you go.

Even worse is that the results are inconsistent. I can ask Gemini five times at what temperature I should take a waterfowl out of the oven, and get five different answers, 10°C apart.

You cannot trust answers from an LLM.
by stavros | 2026-02-04 22:36:20+00:00
> This is one of those “don’t be evil” like articles that companies remove when the going gets tough but I guess we should be thankful that things are looking rosy enough for Anthropic at the moment that they would release a blog like this.

Exactly this. Show me the incentive, and I'll show you the outcome, but at least I'm glad we're getting a bit more time ad-free.
by zqna | 2026-02-04 22:37:14+00:00
If singularity premise is correct, then i think it should must already had happened in our cluster of the universe. Since it hasn't yet, then there are 3 options. 1st: earth and earthlings are special, which is too egocentric notion to be taken seriously. 2nd: we are being observed for entertainment by high conciousness. That could explain a lot, though this removes agency and prevents us from reaching that moment on our own (but maybe the observers are curious to find that out). 3rd: the extinction and annihilation of so-called intelligence once it obliterates all the resources in vicinity. Of course there is option number 4, but ultimately the question, what is the point of that?
by jwpapi | 2026-02-04 22:37:56+00:00
I really wonder why nobody is talking about how it is more important to be able to test the code.

9/10 my ai generated code is bad before my verification layers 9/10 its good after.

Claude fights through your rules. And if you code in another language you could use other agents to verify code.

This is the challenge now, effectively verify the code. Whenever I end up with a bad response I ask myself what layers could i set to stop AI as early as possible.

Also things like namings, comments, tree traversal, context engineering, even data-structures, multi-agenting. I know it sounds like buzzword, but these are the topics a software-engineer really should think about. Everything else is frankly cope.
by stavros | 2026-02-04 22:38:07+00:00
I use OpenCode and I made an "architect" agent that uses Opus to make a plan, then gives that plan to a "developer" agent (with Sonnet) that implements it, and a "reviewer" agent (Codex) reviews it in the end. I've gotten much better results with this than with straight up Opus throughout, and obviously hit the limits much less often as well.
by CuriouslyC | 2026-02-04 22:38:09+00:00
Just FYI, this is the attitude that causes pro-AI people to start shit-talking anti-AI folks as Luddites who need to learn to use the tools.

Agents are a quality/velocity tradeoff (which is often good), if you can't debug stuff without them that's a problem as you'll get into holes, but that doesn't mean you have to write the code by hand.
by nicbou | 2026-02-04 22:38:43+00:00
I'm working to fully open-source the website I've been living from since 2020. I'm not as worried about copycat websites anymore since big tech has stolen all of my work already, so I'm losing my audience either way.

I'm also working on a bilingual lease termination letter generator. The good thing with such tools is that they can be verified by lawyers and guarantee that the letter is legally compliant. The hard work only needs to be done once, then it benefits all.

I wish I had more time to make useful stuff, but the loss in traffic to LLMs is wrecking my plans for the future. I don't know how much more of a drop I can sustain.
by runako | 2026-02-04 22:38:46+00:00
> what if this time it's senior developers and they actually can slap something together better then the expensive SAAS offerings

A typical SaaS customer will use many pieces of software (we mostly call them SaaS now) across its various functions: HR, accounting, CRM, etc. Each one of those will have access to the same pool of senior devs and AI tools, but they will pour more resources into each area and theoretically deliver better software.

The bigger issue here is the economics of the C-suite have not changed here. Assume a 100 CPG company uses 10-20 SaaS apps. Salesforce might be $100k/year or whatever. 1Password is $10k. Asana $10k. etc. They add up, but on the other hand it is not productive to task a $150k employee with rebuilding a $10k tool. And even with AI, it would take a lot of effort to make something that will satisfy a team accustomed to any modern SaaS tool like Salesforce or Atlassian. (Engineers will not even move off Github, and it's literally built on free software.)

That's before I get to sensitive areas. Do you want to use a vibe-coded accounting system? Inventory system? Payroll? You can lose money, employees, and customer perception very rapidly due to some bugs. Who wants to be responsible for all their employee passwords are compromised because they wanted to save $800/mo?

Then, the gains from cutting SaaS are capped. You can only cut your SaaS spend to zero. On the other hand, if you have those engineers you can point them at niche problems in your business niche (which you know better than anyone) and create conditions for your business to grow faster. The returns from this are uncapped.

TL;DR; it's generally not a great idea to build in-house unless your requirements are essentially bespoke.
by mingus88 | 2026-02-04 22:39:32+00:00
Newspapers seem to clock in anywhere between a 7th grade to 11th grade reading level. That’s just too much to ask of people these days.

Social media, short form video, podcasts, etc are consumed far more broadly today and effectively have taken reading off the table entirely.

I’m a parent and I think one of the most valuable skills I can impart is the love of reading and the attention span to make it through a novel. That basic skill is going to put them above the bar compared to their peers.
by tayo42 | 2026-02-04 22:39:33+00:00
> Don't think TV had this kind of a hold on people.

Tvs in the bedroom, living rooms, kitchens, they're centerpieces of rooms. Sports on all day on weekends. They got put into cars. I get together with older family and they'll put the TV on and we sit around it.

They only thing with TV is it wasn't convenient enough to be in our pockets all day.
by mzajc | 2026-02-04 22:40:02+00:00
> Designer is more than an LLM grafted to a text field. https://designer.microsoft.com/

It's an AI image generator. There's thousands of tools that do this exact thing, and it seems their only "benefit" is infesting search engine image results with their horrible low-quality output.

...

On a related note, here's another great LLM feature Microsoft seemingly failed to promote: instead of returning bits of page content or the description meta tag, the Bing API now gives you utter slop[0] for website descriptions!

[0]: https://old.reddit.com/r/duckduckgo/comments/1pomrdg/aigener...
by danpalmer | 2026-02-04 22:40:11+00:00
For a company utterly dependent on email, Zendesk came across to me as very naive about email sending.

I did a Zendesk integration shortly after working on a general overhaul of our email at a previous company. The overhaul involved separating out our different types (transactional, marketing, support, etc), and then implementing best practices on deliverability for each of them. Not your day-one email setup, but we were still a small company.

The comparison to Zendesk's approach was astounding. Assuming you don't want to use a Zendesk address (we didn't, customers thought it was dodgy), the email setup they let you do was bad, and their support folks had no idea about any of the details. DKIM, SPF, etc, was all alien to them. Ironically they had pretty bad support in general.
by CuriouslyC | 2026-02-04 22:41:35+00:00
My rule is 3 tries then dig deeper. Sometimes I don't even wait that long, certain classes of bugs are easy for humans to detect but hard for agents, such as CSS issues. Try asking the agent to explain/summarize the code that's causing the problem and double checking against docs for the version you're using, that solves a lot of problems.
by aspenmartin | 2026-02-04 22:42:02+00:00
This feels like it goes along the lines of "people's vibe code is cluttering up our PR's, people still need to review" -- it misses the boat: models are already capable of getting you up to speed on how the code is organized and works, in as much as you want to or need to be up to speed. They are already helping me cut down review time because I don't need to aimlessly hop around, I have a good starting point that I can scrutinize and dialogue about. Same thing here: employee leaves company -- about 3 years ago you would be right, now the company is left with an unmaintainable mess of legacy code and tech debt. TODAY this just doesn't matter. No one really needs to read that code too closely, it's already easy for agents to digest and explain and modify.

Doing this today, in production, with full trust, is clearly not wise, but the writing is clearly on the wall that this is going to be the norm more and more over the coming years. The times they are a-changin.
by UncleMeat | 2026-02-04 22:42:05+00:00
Then Bezos shouldn't have bought the newspaper. Especially if he wants to intervene in its coverage to avoid pissing off Trump.

"Buy a newspaper and smash it to bits while submitting to fascists" is bad, whether or not his investment is underwater. How much money has Bezos lost on the WP? I have a very small violin for him.