MurphyA/hacker-news huggingface dataset:
by latentsea | 2025-05-05 23:30:26+00:00
Agents can operate in narrow domains too though, so to fit the G part of AGI the agent needs to be non-domain specific.

It's kind of a simple enough concept... it's really just something that functions on par with how we do. If you've built that, you've built AGI. If you haven't built that, you've built a very capable system, but not AGI.
by Desafinado | 2025-05-05 23:30:30+00:00
See my comment above. It's not that simple. Yes he could retire, but then he'd be sitting around, doing nothing. As many entrepreneurs have discovered that's not actually an appealing life. So the work that he does have to do just happens to be stressful and time consuming.

Basically, a business owner can find themselves in a theoretical situation where they have a boat load of money but are also overwhelmed with work and have no other options.

Granted, he probably will retire earlier than me, but in my scenario many of my co-workers actually choose not to retire, because they like the work.
by johngai | 2025-05-05 23:32:51+00:00
We recently switched from a mess of tools (Slack, Trello, Google Docs, HubSpot, Notion, etc.) to Barawave, and honestly, I’m surprised more people aren’t talking about it.

It’s an all-in-one cloud ERP with a slick UI, built-in AI (for writing emails, auto-assigning tasks, summarizing data, etc.), and features that actually work out of the box. We’re a small digital agency and we now manage:

CRM and leads

Invoicing and subscriptions

Tasks, client projects, and internal workflows

Files, team chat, and shared calendars

All in one place

The AI tools feel like a cheat code for productivity. And it’s fast — way faster than HubSpot or Monday. Bonus: their team is super responsive and pushed a feature we requested in under a week.

If you’re building a startup or running a service business, it’s worth checking out.
by manquer | 2025-05-05 23:33:56+00:00
No, basically it is a buy back of employee options and stock .

Many companies raise money only to give liquidity to founders / employees and some early investors even if they don’t money for operations at all.

While Databricks is large , there are much bigger companies which would have IPOed at smaller sizes in the past which are delaying (may never do) today. Stripe and SpaceX are the biggest examples both have healthy positive cash flows but don’t feel the value of going public . Buying back shares and options is the only route if you don’t have IPO plans if you want to keep early stage employees happy
by ben_w | 2025-05-05 23:34:30+00:00
Always.

We're the stupidest and least capable that it's possible to be to develop all this tech in the first place, because if we weren't, we'd have done it sooner.

IIRC it took us until Blaise Pascal or Fermat to realise the probability distribution of flipping two coins isn't 1/3 HH, 1/3 TT, and 1/3 a heads and a tails.

Witch hunts on spectral evidence was a thing.

I've heard 12th century european sailors sometimes thought that compasses were devilish.
by chaps | 2025-05-05 23:36:55+00:00
Yes really. Our argument, upheld by a judge, was that there was no value to an attacker. Their point stands legally, but nothing else.

Despite all that, Chicago still pushes back aggressively. Here's a fun one from a recent denial letter they sent for data within the same database:

"When DOF referred to reviewing over 300 variable CANVAS pages, these are not analog sequential book style pages of data. Instead, they are 300 different webpages with unique file layouts for which there is no designated first page."

This is after I requested every field reflected in within the 300 different pages because it would be unduly burdensome to go through. I'm waiting for the city's response for the TOP page rather than the FIRST page. It's asinine that we have to do this in order to understand how these systems can blindly ruin the lives of many.

They also argued the same 7(1)(g) exemption despite me being explicit about not wanting the column names. Effectively turning their argument into them saying that the release of information within a database, fullstop, is exempt because it could be used to figure out what data exists within a database. That's against the spirit of IL FOIA, which includes this incredibly direct statutory language:

Sec. 1.2. Presumption. All records in the custody or possession of a public body are presumed to be open to inspection or copying. Any public body that asserts that a record is exempt from disclosure has the burden of proving by clear and convincing evidence that it is exempt.

https://www.documentcloud.org/documents/25930500-foia-burden...

https://www.documentcloud.org/documents/25930501-foia-burden...
by hinkley | 2025-05-05 23:37:13+00:00
And that the number of observers in this universe will be allowed to grow infinitely.

It's entirely possible that the universe will conspire to have some clever mechanism to limit the number of observers to whatever the universe simulation can support. For all we know They have been upgrading the cluster as we advance. We don't even have a way to know if the simulation is in real time. Maybe it slows down when we have too many babies or make too many sensors, and speeds up after a plague.

But whatever the truth is, the game is whatever winning conditions you wish to make it. Some people have very personal goals, others subscribe to group goals. We don't know if there's an after.

Even when someone else gives your life meaning, you still chose to accept it. Most of us reject when someone tries to give our lives a negative meaning. That door swings both ways.
by manquer | 2025-05-05 23:37:20+00:00
Later stage things are , the potential IPO is a benefit not deterrent. Recruiters and hiring managers will hint at potential IPO being not far off as an incentive to join. It minimizes risk, they do same for potential target’s founders like Neon here .

This is better than earlier stage startups , while you get far better multiples , it is also quite possible that you are let go somewhere into the cycle without the money to vest the options for tax reasons and there is short vesting period on exit.

For this reason companies these days offer 5/10 yr post leaving as a more favorable offer

——

For founders it is gives them a shorter window to a exit than on their own, and in revenue light and tech heavy startup like neon (compared to databricks) the value risk is reduced because stock they get in acquisition is based on real revenue and growth not early stage product traction as neon would be today .

They also have some cash component which is usually enough to buy core things in most founders look at like buying a house in few million range or closing mortgages or invest in few early stage projects directly or through funds
by throwup238 | 2025-05-05 23:37:36+00:00
> For the average consumer, I'm skeptical that OpenAI carries much weight.

My friend teaches at a Catholic girls’ high school and based on what he tells me, everyone knows about ChatGPT, both staff and students. He just had to fail an entire class on an assignment because they all used it to write a book summary (which many of them royally screwed up because there’s another book with a nearly identical title).

It’s all anecdotal and whatnot but I don’t think many of them even know about Claude or Gemini, while ChatGPT has broad adoption within education. (I’m far less clear on how much mindshare it has within the general population though)
by bo1024 | 2025-05-05 23:38:03+00:00
Interesting. This terminology really makes no sense without more shared context, in my view. For example, I would not describe something that happens to me every month as a "remote possibility". Yet for a 3% chance event, repeated every day, monthly occurrences are what we expect. Similarly, someone who describes events as "nearly certain" would surely be embarrassed when one of the first 20 fails to happen, no?
by asadotzler | 2025-05-05 23:38:12+00:00
LLM AI hype started well before ChatGPT.

This site and many others were littered with OpenAI stories calling it the next Bell Labs or Xerox PARC and other such nonsense going back to 2016.

And GPT stories kicked into high gear all over the web and TV in 2019 in the lead-up to GPT-2 when OpenAI was telling the world it was too dangerous to release.

Certainly by 2021 and early 2022, LLM AI was being reported on all over the place.

>For most of the world LLM's did not exist before those dates.

Just because people don't use something doesn't mean they don't know about it. Plenty of people were hearing about the existential threat of (LLM) AI long before ChatGPT. Fox News and CNN had stories on GPT-2 years before ChatGPT was even a thing. Exposure doesn't get much more mainstream than that.
by IAmNotACellist | 2025-05-05 23:38:17+00:00
If you were simulating two beings' experiences of the universe and they met and compared notes, you might expect little incongruities where random chance was used in the decisions necessary to generate their perspectives.

Let's say a sparrow falls and a simulated being observes it, but so does a camera, which stores the footage in an unexamined hard drive. Years later another being observes the footage stored by that camera, and up until that point there had been no point in manifesting it in the simulation. Would the wings of the falling sparrow flutter exactly the same way for the two observers? What if they met and discussed it, as part of a deliberate experiment to test the consistency of the universe? Would they agree? Imagine the computational overhead necessary in storing details that you're not sure will ever be useful. The same logic could hold true for a photon generated by an exploding star 12 billion years ago that zipped across the expanding universe and eventually interacted with some silicon in a CCD in an astronomer's camera.
by al_borland | 2025-05-05 23:38:43+00:00
This was touched on at the end of the article, but the author hadn't yet explored it. Thanks for the link.

> Of course, as my luck would have it, Podman integration with systemd appears to be deprecated already and they're now talking about defining containers in "Quadlet" files, whatever those are. I guess that will be something to learn some other time.
by Karrot_Kream | 2025-05-05 23:39:41+00:00
This thread is an amazing variety of stances on photography. Some people are convinced you need to leave all lenses at home to plug in and a child comment of yours talks about bringing the holy trinity zooms and a prime to get everything. This forum is a bit maddening in its lack of focus at times.

I've been bit by lens fomo a bit but never as much as this post and the child post seem to be and never enough that I've missed a shot I really, really regret. My "standard" load out is to bring my long 70-180 Tamron f2.8 and a 50 f1.8. If I know the trip will have little downtime I'll pack just the 50 or nothing at all but my smartphone. My smartphone is wider and can capture everything my 50 can't, though it is harder to get the shot I'm looking for with it due to the lack of control.

If I'm doing a photography trip, sure I'll bring my tripod, glass I need, flashes, and strobes. But if I'm just going with family of friends often enough the 50 or just my smartphone is fine.

I just shot a family member's college graduation with my 50 and the 70-180. I did get lucky in that the lighting was fantastic outdoors, but I still have no regrets, missed moments, or shots I couldn't do. A few moments I regretted not having my ND filters to help tone down highlights in the cloudy golden hour sky (or my tripod to grab an HDR shot), but it wasn't hard to mask and bring highlights down in post anyway.
by forgetfulness | 2025-05-05 23:40:20+00:00
What is the lowdown on Databricks? Their bread and butter were hosted Spark and notebooks. As tasks done in Spark over a data lake began to be delegated wholesale to columnar store ELT, they tried to pivot to "lake houses", then I sort of lost track of them after I got out of Spark myself.

Did Delta Lake ever catch on? Where are they going now?
by lemoncucumber | 2025-05-05 23:40:34+00:00
One thing to watch out for is that you pick your "home region" when you create your account. This cannot be changed later, and your "Always Free" instances can only be created in your home region (the non-free tier doesn't have that restriction).

So choose your home region carefully. Also, note that some regions have multiple availability domains (OCI-speak for availability zones) but some only have one AD. Though if you're only running one free instance then ADs don't really matter.
by kevinventullo | 2025-05-05 23:40:37+00:00
Yeah, so the problem I’m solving is not that I don’t think enough about something, or even that I don’t think about it in the right way. “Murky” was maybe the wrong word. It’s more that I often find my audience does not have the longest attention span or forgiveness for sloppy writing; thus, the onus is on me to make my thoughts as easy to digest as possible.
by AdieuToLogic | 2025-05-05 23:41:58+00:00
> For most continued learning it's better if the university uses calculators, compilers, prepared learning materials, and other things that do stuff on behalf of the students instead of setting the bar permanently to "the student should want to engage everything at a base level or they must not be here to learn".

IMHO, the example of using calculators in a learning environment is a great topic to explore.

Using calculators in a university setting is entirely reasonable as it is expected students have already mastered the math calculators automate. Formulae calculators are also included as, again, the expectation is a student capable of defining them have an understanding of what they are and when to use them.

Now, contrast the above with using calculators in elementary school, where basic math is an entirely new concept and the subject being taught. Here, the expectation is students learn how to perform the operations themselves through varied exercises, questions to the instructor, and practice.

> It allows much more advanced learning to be done in the long run.

Only if the fundamentals have already been established. Which leads back to my original question:

Am I here to learn or to get a passing grade?
by WantonQuantum | 2025-05-05 23:42:11+00:00
Reading this reminded me of a software consulting company I worked at a few years ago as a developer. When bidding for a software development project they would offer a fixed price bid and/or a "time and materials" bid. Our fixed price bid would include a margin to cover our risk. That margin was usually about 30%.

The interesting thing was they were also very good at estimating and executing projects and often came in on time and on budget.

It never occurred to me that because the estimation process always included the risk estimation even if the client went with time and materials, our estimate would likely be more accurate. Looking back now, it does seem likely that was a factor.

We had a good company culture and great management too, so it wasn't the only factor of course.
by AlotOfReading | 2025-05-05 23:42:42+00:00
Books are static and expensive? The front page of <insert social media> reliably changes every day for free without you having to make any choices except to consume. With a book, you have to actively go out, choose, and obtain a book, and then put in a reasonable amount of effort to consume the long form content. Many readers will follow that up with active engagement in the form of thinking about it, daydreaming about it, obtaining other media related to it, writing fanfictions, or conversations with friends.

Anyone who was a bookworm before the late 90s will also be familiar with the problem of your consumption rate vastly outpacing your ability to obtain books, leading to more of those alternatives.

It's not like books are a universal positive either though. It's possible to read so much that your ability to be creative suffers, which is what "phone critics" are alleging here. Putting down the research material is a common bit of writing advice.
by jay-barronville | 2025-05-05 23:44:38+00:00
> You might be surprised how often multi-language programs appear. Basically all of modern day Python for starters. But also a number of important numerical libraries for C are actually written in Fortran.

In my experience, the most common use case is C-based programs with some C++ sprinkled in (especially if you need the C code to be compiled exclusively by a C compiler in order to maintain C semantics).
by dctoedt | 2025-05-05 23:45:05+00:00
> But the biases of [the?] people are legitimate, while the biases of the elites are illegitimate.

I guess "elites" [sic] don't qualify as "people," then. And given your personal background, I'm also guessing that the range of types of "people" in your life experience might not have been all that broad.

> If the people vote for mass deportations, for example, the only job of the elite should be to figure out how to do it efficiently while protecting legally recognized rights (but not trying to undermine the policy by invoking protecting rights as a pretext).

Objection, assumes facts not in evidence: Whence came these "legally recognized rights"? The odds are, it was from the "elites" that you profess to scorn, with "the people" — gradually or otherwise — being convinced that those rights were a good thing.
by tyg13 | 2025-05-05 23:46:04+00:00
I feel like, if nothing else, this new wave of AI products is rapidly demonstrating the lack of faith people have in their own intelligence -- or maybe, just the intelligence of other human beings. That's not to say that this latest round of AI isn't impressive, but legions of apologists seem to forget that there is more to human cognition than being able to regurgitate facts, write grammatically-correct sentences, and solve logical puzzles.
by koljab | 2025-05-05 23:46:18+00:00
It's in fact using Silero via RealtimeSTT. RealtimeSTT tells when silence starts. Then a binary sentence classification model is used on the realtime transcription text which infers blazingly fast (10ms) and returns a probability between 0 and 1 indicating if the current spoken sentence is considered "complete". The turn detection component takes this information to calculate the silence waiting time until "turn is over".
by 999900000999 | 2025-05-05 23:46:50+00:00
Supabase just raised 200 million.

What’s with all these Postgres hosting services being worth so much now?

Someone at AWS probably thought about this, easy to provision serverless Postgres, and they just didn’t build it.

I’m still looking for something that can generate types and spit it out in a solid sdk.

It’s amazing this isn’t a solved problem. A long long time ago, I was apart of a team trying to sort this out. I’m tempted to hit up my old CEO and ask him what he thinks.

The company is long gone…

If anything we tried to do way too much with a fraction of the funding.

In a hypothetical almost movie like situation I wouldn’t hesitate to rejoin my old colleagues.

The issue then, as is today is applications need backends. But building backends is boring, tedious and difficult.

Maybe a NoSql DB that “understands” the Postgres API?
by xyst | 2025-05-05 23:46:56+00:00
It shocks me to this day that news articles and journalists barely cite their sources. The best I have seen is shitty hyperlinked sources l, which are subject to link rot over time. Thus losing the context/source if underlying paper goes under or company decides to overhaul content system.

What’s the point of learning APA or MLA citation in high school and college but journalists don’t even bother with it? Insane to me.

Would address the complaints of the author _and_ help readers "trust but verify" the claims. Of course, some sources can’t be cited properly (ie, "source close to inner circle of the family") but at least we can discern whether "journalist" did their DD or copied the source from another journalist (or just pulled it out of their ass)
by taw1285 | 2025-05-05 23:47:43+00:00
I am fairly new to all this data pipeline services (Databricks, Snowflakes etc).

Say right now I have an e-commerce site with 20K MAU. All metrics are going to Amplitude and we can use that to see DAU, retention, and purchase volume. At what point in my startup lifecycle do we need to enlist the services?
by tmsh | 2025-05-05 23:48:11+00:00
Indeed, you only have to simulate what one person perceives and where they explore, etc. One person's conscious experience in theory should be able to be fully simulated with very little information relative to the complexity of matter etc. You just have to simulate the senses and model the universe around a person.

And why not do that as an experiment? If science/experimentation is a useful thing - why not have the main reality and lots of individual experiments?
by SketchySeaBeast | 2025-05-05 23:48:17+00:00
The people in the media aren't actually suffering. I don't know about you, but I wouldn't enjoy it knowing that anything was actually was in pain for my amusement. We can't even use video game as a analogy for the simulation because the creatures in video games don't actually feel, and the simulation implies we are built to have conscious experience.
by baremetalengine | 2025-05-05 23:49:40+00:00
Open your mind. This isn’t about conspiracies — it’s about optimization.

BareMetal is about designing engines to run photorealistic graphics more efficiently on modest GPUs. AAA studios often brute-force performance with hardware instead of better code, pushing unnecessary upgrades and planned obsolescence.

This isn’t a new idea — it’s been done before. Games have historically looked incredible on limited hardware when developers prioritized efficiency. We’re just bringing that mindset back.

It’s not a conspiracy. It’s a paradigm shift.
by IAmNotACellist | 2025-05-05 23:52:19+00:00
That's the most disgusting sentence fragment I've ever heard. I wish it could be sent back in a localized wormhole and float across the table when Systemd was being voted on to become the next so-called init system.

Edit: Nevermind, I misunderstood the article from just the headline. But I'm keeping the comment as I find the reference funny
by Phanteaume | 2025-05-05 23:52:22+00:00
> The people in the media aren't actually suffering. I would argue that from their point of view, they very well do. See "Last Action Hero" for my point. How do you know, one dimension higher from them, that they do not suffer ? Do you see the actor "winking" at you, like it's a joke ? No, from their point of view, the suffering is pretty much real.

You imagine suffering from our point of view. Try to imagine that a God might see you as you see Bruce Wayne in the comics.
by fumeux_fume | 2025-05-05 23:52:33+00:00
> Over the years I’ve utilized all the tricks to get the best results out of LLMs.

The poster tips their hand early in the article and I can see there won't be much substance here. I work on writing prompts for production solutions that use LLMs to QA various text inputs that would be very hard to do using traditional NLP techniques. Good prompt engineering had very little to do with thinking up ridiculous scenarios to "trick" the LLM into being better. Those are actually counterproductive because their efficacy can vary widely across model versions.
by ChuckMcM | 2025-05-05 23:53:01+00:00
End the end I gave up :-) The problem I was trying to solve was a physics based deformable environment. Something like minecraft but without the blockyness. Basically allowing one to dig as deep as one wanted into the planet, build as high as one wanted, and re-arrange as much as one wanted all with physics rules combined with some matter composition rules that would give one an 'authentic' experience. It was a stretch in the 90's and I think I stopped poking at it around 2005 :-). But part of the problem was when you broke things you got multiple sub-objects. Potentially down to the level of "sand" (which in my world was a .001cc chunk.)