MurphyA/hacker-news huggingface dataset:
by roflmaostc | 2025-05-05 20:26:19+00:00
Just to get things right. The big AI LLM hype started end of 2022 with the launch of ChatGPT, DALL-E 2, ....

Most people in society connect AI directly to ChatGPT and hence OpenAI. And there has been a lot of progress in image generation, video generation, ...

So I think your timeline and views are slightly off.
by toast0 | 2025-05-05 20:26:42+00:00
I think I'm pretty similar; I don't have great advice, more or less my first real job I got the attention of my skip level boss (he was one of my interviews and also I did a couple projects with him), and he's hired me to two more places since then, so I'd say be sure to network. Bonus points if your network gets you a job where you don't have to work again.

I've also done a couple sessions of peek at a problem in production and fix it / tell people how to fix it based on reputation, which is networking.

Oh, and one more thing: never ever mention any experience with mail handling, or you'll get roped into doing it again. People remember, even if you only said it once. :P
Show HN: Run Performant Google Ads Without Experience
by KSulkin | 2025-05-05 20:26:48+00:00
During my last startup, I hated working with marketing agencies who I thought were overwhelmingly grifters/low-quality.

That's why I started Multiply, to allow businesses to run high quality Google Ads without having to work with an agency.

The tool is comprehensive - offering AI ad creation, keyword identification, algorithmic budget optimization, and continuous A/B testing.

All of our early customers are seeing 5x+ ROI on their ad spend (ROAS).

We are testing our pricing - for now we are offering the first month for $10, and 10% of ad spend thereafter.
by potholereseller | 2025-05-05 20:27:00+00:00
If the hype is true, then AI-generated code will soon need no review at all. Programmers will be totally useless. Managers will be able to spend ten hours each quarter doing the work of a hundred programmers. You would be better off moving into management now, because that's the only place code will be seen. Open-source projects will also be abandoned, since AI will generate the kernel tailored to your CPU, motherboard, peripherals, and applications. The AI companies say that AI will eliminate all jobs. They sincerely mean all jobs.

But how do you know that AI companies will stick around? Those companies rely on excitement among people like programmers to pay subscriptions. But when the next recession puts a lot of those people out of work, they will cancel those subscriptions in order to pay for rents/mortgages and food. AI hasn't delivered on the promise of a work-free world, so we still have to pay our bills. No subscriptions means the AI companies will lose their only revenue stream. Why woudl a VC invest in companies whose revenue vanished? During the next recession, a lack of programming skills and a lack of AIs will be the worst scenario for many programmers. Whatever company you work for will struggle under the weight of you and other programmers who can't do anything except review code, debug code, and write complex code. The simple, repetitive code will be un-writable -- the simple things will become arcane.

There are already posts on HN bemoaning the loss of programming skills due to AI use. A generation for whom the simple and boring things might already be arcane.
by reasonableklout | 2025-05-05 20:27:10+00:00
Yes, I think people severely underrate the data flywheel effects that distribution gives an ML-based product, which is what Google was and ChatGPT is. It is also an extremely capital-intensive industry to be in, so even if LLMs are commoditized, it will be to the benefit of a few players, and barring a sustained lead by any one company over the others, I suspect the first mover will be very difficult to unseat.

Google is doing well for the moment, but OpenAI just closed a $40 billion round. Neither will be able to rest for a while.
by sstock | 2025-05-05 20:27:27+00:00
Calls to mind Edgar Allan Poe's Sonnet to Science. Written almost two centuries ago, it bemoans dreams lost to the unyielding reality of science. Poe doesn't resolve this concern in the sonnet, but his subsequent works indicate he did overcome it. How will we I wonder.

Reference: https://www.gutenberg.org/files/25525/old/25525-h/files/2151...
by piafraus | 2025-05-05 20:27:33+00:00
Not saying your opinion is not valid, but just voicing that this might be good for other consumers.

For me - journals/notes/description and even video scenes - is something I cannot focus on, so ignore most of the time.

However selecting (even fake) choices keeps me engaged and more "role playing" as if I am saying those lines and live through the dialogue.
by immibis | 2025-05-05 20:27:38+00:00
Everyone is tapping everyone else to the extent they can get away with it - especially allies, because they can get away with it more. You don't think the NSA monitors every single bit that flows in and out of the USA?

Periodically, someone gets caught red-handed, a fuss is made, some diplomats get thrown out and replaced with other ones, and then everyone continues doing it.
by photochemsyn | 2025-05-05 20:28:04+00:00
This problem crops up everywhere, especially when it's a consequential claim. Eg when the US Department of Energy says with 'low confidence' that the Sars-COV2 outbreak and pandemic was 'most likely' was the result of a laboratory leak, what number does that translate to on the certainty scale?

Also, what likelihood can we assign to claims that the virus was deliberately modified at the furin cleavage site as part of a gain-of-function research program aimed at assessing the risks of species-jumping behavior in bat coronaviruses? This is a separate question from the lab escape issue, which dould have involved either a collected wild-type virus or one that had been experimentally modified.

Perhaps experts in the field 'misinterpreted the evidence' back in the early months of the pandemic, much as happened with the CIA and its 'intelligence on Iraq'?

https://interestingengineering.com/health/us-doe-says-covid-...
by throwup238 | 2025-05-05 20:28:40+00:00
> For example, will AWS (or insert any other hyperscaler) end up providing the “Bedrock” of MCP where security is native to the platform?

Cloudflare already provides something along those lines with MCP on Workers with authentication (via their zero trust product AFAIK): https://blog.cloudflare.com/remote-model-context-protocol-se...

Sounds like they were one of the partners with Anthropic in their recent “Integrations” announcement.
by dbacar | 2025-05-05 20:28:48+00:00
It is already here, kinda. I mean look at how it passes the bar exam, solves math olympiad level questions, generates video, art, music. What else are you looking for? It already has penetrated into job market causing significant disruption in programming. We are not seeing flying cars but we are witnessing things even not talked about around campfire. Seriously even 4 years ago, would you think all these would happen?
by orena | 2025-05-05 20:29:21+00:00
Q (Cue) | Boston, MA | Onsite | Full-time | AI/ML – Speech & Audio

We’re building a revolutionary new way for people to communicate.

Our work is deeply rooted in large-scale deep learning. We train massive models across many GPUs using proprietary data, pushing the boundaries of what we can do with deep learning.

We’re looking for someone who is both highly research-oriented and technically strong. Training large models over long durations demands not only cutting-edge research thinking but also solid engineering skills and deep experience in scaling DL systems.

https://q.ai/open-position/?gh_jid=4569618101
by dejobaan | 2025-05-05 20:29:42+00:00
That was a good read (and short, with a cool graph—I want to know who tagged "Almost No Chance" as 95% likely; a would-be Pratchett fan, perhaps). In biz, that's part of why I like to separate out goals ("we'll focus on growing traffic") and concrete objectives ("25% audience growth between now and June 1st").
by timeinput | 2025-05-05 20:30:14+00:00
I mean I expect devices and apps to move to DoH, but they haven't yet, or at least not all of them. My experience generally on my phone at home (with DNS blocking) is better enough than my experience away from home that I'm glad I took the half a day or there about to set up a DNS blocking tool a couple years ago.

A couple years ago it was like night and day. Now it is still better than nothing, and in a year or two it might not be worth running.

It's definitely a moving target, but "we expect ... to move to DoH resolution" means that they haven't all moved yet, and a DNS based ad/telemetry/etc blocker still works today (for some apps / smart devices). If it works for some things today why would I turn it off because it might not work for a subset of those things tomorrow? Agreed the value proposition of setting one up is probably dropping, but I still prefer it to nothing.

Now that I think of it I should probably start logging how many DNS look ups "fail" because of the DNS blocking list, and monitor for changes. If it ever gets to less than one a day it's probably not worth the couple of W to power the RaspberryPI
by thenewwazoo | 2025-05-05 20:30:20+00:00
There's also a question of making the market. I've got these really weirdly-broad skills. LinkedIn is not great for finding the niches I want to fit. I suppose there's HN's "Who Wants to be Hired" threads, but that's risky if you're already employed. I'm obviously networking already, but what else is there?
by jwarden | 2025-05-05 20:30:28+00:00
I don’t use probability distributions in everyday life ;)

But it is the right distribution to represent uncertainty about the probability of binary events (eg a website user clicking some button). For example, if I have absolutely no idea the probability then I use the uniform distribution, Beta(1,1), which is the maximum entropy distribution. Then if I observe one user and they happen to click, I have Beta(2,1), and at a glance I known the mean of that (2/3) which is a useful point estimate.
by voidspark | 2025-05-05 20:30:50+00:00
It's not a redefinition, it's a refinement.

Think about it - the original definition of AGI was basically a machine that can do absolutely anything at a human level of intelligence or better.

That kind of technology wouldn't just appear instantly in a step change. There would be incremental progress. How do you describe the intermediate stages?

What about a machine that can do anything better than the 50th percentile of humans? That would be classified as "Competent AGI", but not "Expert AGI" or ASI.

> fancy search engine/auto completer

That's an extreme oversimplification. By the same reasoning, so is a person. They are just auto completing words when they speak. No that's not how deep learning systems work. It's not auto complete..
by smusamashah | 2025-05-05 20:31:05+00:00
Saying this as a user of these tools (openai, Google voice chat etc). These are fast yes, but they don't allow talking naturally with pauses. When we talk, we take long and small pauses for thinking or for other reasons.

With these tools, AI starts taking as soon as we stop. Happens both in text and voice chat tools.

I saw a demo on twitter a few weeks back where AI was waiting for the person to actually finish what he was saying. Length of pauses wasn't a problem. I don't how complex that problem is though. Probably another AI needs to analyse the input so far a decide if it's a pause or not.
by pavelhaim | 2025-05-05 20:31:16+00:00
SEEKING WORK | Remote | Contract

I am Pavel, a backend engineer focused on Go- and Python-based distributed systems, real-time data pipelines, and AdTech services. I design, develop, and operate production-ready microservices with automated CI/CD using Docker and Kubernetes.

Key projects:

- News-aggregation platform on Ruby on Rails with real-time NLP enrichment.

- DSP/SSP AdTech services in Go integrated with Python analytics and Telegram-bot administration.

- High-throughput gRPC file-transfer backend in Go, plus Python tools for monitoring (Grafana/Prometheus).

Tech stack: Go · Python (Django) · Ruby on Rails · GraphQL · gRPC · Kafka · Docker · Kubernetes · CI/CD · LangChain · OpenAI API

Email: pavel.v.erokhin@gmail.com

Tg: @pavelhaim
by Lerc | 2025-05-05 20:31:46+00:00
That in itself is a complicated issue, but I would suspect that this does not count as copyright infringement. The entity in possession of the data does not change, the copies and manipulation are performed by employees but at no time do they own what they are manipulating.

If it were true that this constitutes a transfer of possession, then the targets for the lawsuit should be the individual employees, and I don't think anyone wants that.
by toast0 | 2025-05-05 20:31:47+00:00
I mean.... when was the last time you made a call that was full analog/PRI? Did you notice that cell phones had higher latency than landlines?

30-40 ms latency is probably the lower bound on a VoIP call [1]; most calls will be a lot more. But you might not notice it if that's all you have access to, or if all of your calls are long distance that it would never be good anyway. On long distance, you probably have a better transmission delay now over internet than you would have had over telephone networks, as cable routes have improved and routing is often more direct; that will probably offset some of the packetization delay.

[1] You can do better, but it involves having great connectivity and sending lots of very small packets, and mainstream calling isn't willing to send 200 packets per second of 5 ms of samples when most people don't notice/complain about the latency when sending 50 packets per second with 20 ms of samples.
by Desafinado | 2025-05-05 20:31:56+00:00
Nope. He is still dependent on his businesses to survive. It's a job for him just like it is for me. I have a boss, his businesses are his boss.

The difference is that I work far fewer, less stressful hours, and have much more time to myself.

That's not to say that all businesses turn our like that, but the point is that having more money doesn't necessarily mean you have a better lifestyle.

I can count a number of people who have more money than me but who have awful, stressful or tedious jobs.
by childintime | 2025-05-05 20:32:06+00:00
The reasoning is that you would have productivity gains if the AI actually generates the code you need. If it doesn't, you either spend your time writing most of the code, or else spend significant time debugging it. Maybe you're trying to coerce the AI to correct the bugs for you and it doesn't work out. So your work may theoretically have changed to 100% AI, those debugging cycles only negate the productivity gain, so the 100% figure is not real.
by orionsbelt | 2025-05-05 20:32:08+00:00
Saying LLMs have only incrementally improved is like saying my 13 year old has only incrementally approved over the last 5 years. Sure, it's been a set of continuous improvements, but that has taken it from a toy to genuinely insanely useful.

Personally, deep research and o3 have been transformative, taking LLMs from something I have never used to something that I am using daily.

Even if the progress ends up plateauing (which I do not believe will happen in the near term), behaviors are changing; OpenAI is capturing users, and taking them from companies like Google. Google may be able to fight back and win - Gemini 2.5 Pro is great - but any company sitting this out risks being unable to capture users back from Open AI at a later date.
by richardw | 2025-05-05 20:32:28+00:00
Or, alternatively, it’s much harder to fight with one hand behind your back. They need to be able to compete for resources and talent given the market structure, or they fail on the mission.

This is already impossibly hard. Approximately zero people commenting would be able to win this battle in Sam’s shoes. What would they need to do to begin to have a chance? Rather than make all the obvious comments “bad evil man wants to get rich”, think what it would take to achieve the mission. What would you need to do in his shoes, aside from just give up and close up shop? Probably this, at the very least.

Edit: I don’t know the guy and many near YC do. So I accept there may be a lens I don’t have. But I’d rather discuss the problem, not the person.
by chaps | 2025-05-05 20:32:49+00:00
The City of Chicago's lawyers went the opposite direction in response to @tpacek's affidavit that the release of table/column names would have "marginal value" to an attacker. The city latched onto that to get a trial that eventually went to the IL Supreme Court and lost.

[I]n my affidavit, I wrote that SQL schemas would provide “only marginal value” to an attacker. Big mistake. Chicago jumped on those words and said “see, you yourself agree that a schema is of some value to an attacker.” Of course, I don’t really believe that; “only marginal value” is just self-important message-board hedging. I also claimed on the stand that “only an incompetently built application” could be attacked with nothing but it’s schema. Even I don’t know what I meant by that.

His post: https://sockpuppet.org/blog/2025/02/09/fixing-illinois-foia/ My post: https://mchap.io/losing-a-5yr-long-illinois-foia-lawsuit-for...
by hydrogen7800 | 2025-05-05 20:33:10+00:00
>They're capable of detecting and avoiding harmful stimuli, but that doesn't mean they have the subjective experience of pain.

This reminds me of "Consider the Lobster" by David Foster Wallace. I remember being pretty convinced by his argument that lobsters do indeed feel pain when boiled alive, which was interesting because, as I recall, he argued with simple logic rather than using any biological basis. It may have been as simple as avoiding harm = experiencing pain. I suppose this does not necessarily follow. I'll have to read it again some time.
by jMyles | 2025-05-05 20:33:22+00:00
> Since then, some governments have tried to clean up the language of probability. After the Iraq War—which was influenced by misinterpreted intelligence

While I laud the gracious application of Hanlon's Razor here, I also think that, for at least some actors, the imprecision was the feature they needed, rather than the bug they mistakenly implemented.
by hadlock | 2025-05-05 20:33:43+00:00
Sure, but now your all-go shop now needs to support two languages, two sets of linters, ci/cd etc for a single utility. It might be faster for you but if the utility is going to be used for more than a couple of weeks now it's a real hassle to get a go developer to make sure they have the right version of the interpeter, remember all the ins and outs of python etc.
by foldr | 2025-05-05 20:33:55+00:00
From a linguist's point of view this is a perfect example of the chaos that ensues when people try to say how things are pronounced without describing the speech sounds using standard vocabulary.

Here are the inept pronunciation instructions on the LaTeX project website:

> «Lah-tech» or «Lay-tech» (to rhyme with «blech» or «Bertolt Brecht»)

The pronunciation of the 'ch' in 'blech' isn't really standardized, so that's not much help. If we go by the German pronunciation of Brecht then the sound should be [ç], i.e. a voiceless palatal fricative. But this seems to be a mistake, as Knuth intended the X in TeX to be [x], i.e. a voiceless velar fricative. In German, [ç] is an allophone of /x/ (conditioned by the preceding vowel), but they are distinct sounds, and Knuth's directions for the pronunciation of TeX unambiguously specify [x]. It seems unlikely that this difference between the X in LaTeX and the X in TeX is intentional, so maybe this was a confused attempt to identify the [x] sound.

Really then, it's anyone's guess how LaTeX is supposed to be pronounced, since no-one with authority to specify has bothered to look up the IPA symbols for the relevant speech sounds. But IMO while [leɪtɛk] is a perfectly common and acceptable pronunciation, it can only really be understood as an anglicization of [leɪtɛx] rather than the canonical pronunciation.
by reasonableklout | 2025-05-05 20:34:21+00:00
That's not what early adopter numbers are showing. Even the poll from r/openai a few days ago show Gemini 2.5 with nearly 3x more votes than o3 (and far beyond Claude): https://www.reddit.com/r/OpenAI/comments/1k67bya/what_is_cur...

Anecdotally, I've switched to Gemini as my daily driver for complex coding tasks. I prefer Claude's cleaner code, but it is less capable at difficult problems, and Anthropic's servers are unreliable.
by Kirby64 | 2025-05-05 20:35:15+00:00
> Or just address the actually cause instead of the "problem".

Again, you’re asking for behavioral change in humans by fiat. Fortification extends well beyond just adding vitamins to chips or junk food. It’s added in many basic building blocks (milk, and most flours and rice) because it literally is solving nutritional deficiencies caused by poverty. Nobody is somehow making purchasing decisions on junk food based on fortification content.

> Get the shit like food coloring and corn syrup out of our food.

Irrelevant to nutritional content, unless you mean overly sugary foods relating to corn syrup. Which, you can have the exact same health outcomes and hyper palatability by just using regular old sugar.

> Other nations do just fine with their food situation without all this made up nonsense and excuses like "fortified" food.

Other nations fortify their food too, including many “first world” countries. I don’t know why you think this is somehow a uniquely American thing.
by flysand7 | 2025-05-05 20:36:44+00:00
For a lot of files where you would want to perform a quick one-time analysis, I don't think it's worth starting up a new database, and write scripts that parse the file from the source format and import it into the database. The one time I did it for postgres it took me maybe 2-4 hours to finish the script and start looking at the data. Next time it would be maybe an hour, but it's still a time.

So I guess I can see how not having to do the conversion for quick one-time analysis could be beneficial.
by asadotzler | 2025-05-05 20:36:47+00:00
Not a loophole as they pay taxes (unlike non-profits) but a fig leaf to cover commercial activity with some feel-good label. The real purpose of PBC is the legal protection it may afford to the company from shareholders unhappy with less than maximal profit generation. It gives the board some legal space to do some good if they choose to but has no mandate like real non-profits which get a tax break for creating a public good or service, a tax break that can be withdrawn if they do not annually prove that public benefit to the IRS.
by Swenrekcah | 2025-05-05 20:37:05+00:00
You can relax, I specifically mentioned misinformation.

That is what is dangerous. People can get their news from different outlets with different priorities and that is all well and good.

What has happened at a large scale more recently is that bad actors actively feed people factually wrong stories and those are increasingly the only stories they get.

There were always those who sought to do this but the vaccine was that they could never monopolise people’s attentions the way that has become possible lately.

It is perfectly fine for people to have different opinions and vote differently, it is just very important that it is based on factual representation of the world.
by betterThanTexas | 2025-05-05 20:37:23+00:00
> it is much wiser to hire one senior instead of 2 juniors for the same money.

Maybe in terms of pure productivity, but if you can match hiring to roadmaps you can give them more approachable/further from revenue work for which seniors would be an overkill. Etc. I'm just saying anyone with a simple explanation is only telling you part of the story.

Besides, hiring is expensive. If you say live near a university, you have an edge in finding talent.
by datadrivenangel | 2025-05-05 20:37:34+00:00
This may be an issue with default settings:

"Modern LLMs now use a default temperature of 1.0, and I theorize that higher value is accentuating LLM hallucination issues where the text outputs are internally consistent but factually wrong." [0]

0 - https://minimaxir.com/2025/05/llm-use/