skysight-inc/HackerNews huggingface dataset:
We are getting closer and closer to that. For a while llm assistants were not all that useful on larger projects because they had limited context. That context has increased a lot over the last 6 months. Some tools will even analysis your entire codebase and use that in responses.

It is frustrating that any smaller tool or api seem to stump llms currently but it seems like context is the main thing that is missing and that is increasing more and more.
I fail to see why you think so. The better AI becomes, the less need for humans in the pipeline there may be, even if that number is not zero.
Yeah, there are many scenarios that could unfold now due to the sophistication and capabilities of AI.
Is Greece really that bad of a compromise timezone? It's GMT+2, compared to GMT+8 for Beijing and GMT-5 for NYC/DC. It's pretty much just West Coast US and Australia who get really screwed, which is probably as good as you're going to get for a global event.
The reasoning is generally that using SizeOf implies one is doing unsafe things. Why do you need the size of something in managed code? What would you do with that information?

Not that I necessarily agree with the decision myself, but that's the argument made by others.
The main thing is OpenAI itself. Altman has long pitched it as an open, non-profit and raised hundreds of millions on that. Turns out it's not open and now has been positioned as a for-profit entity owned by a non-profit that is trying to convert itself to a for-profit.
That's a good example. But that auto reply is a kind of bot. "Sensible" is just separate from what's legally actionable in too many cases. I do see llms as just that next step in auto replay. We already know companies use them to process your text requests / descriptions when getting help, and they auto-answer things and there are endless stories even today of awful unsuitable responses triggered on llm systems.
Reject "AI" at all levels. Time for this useless cancer to go. Research AGI sure, but forcing this slop on us has got to stop.
Maybe those software engineers should "lrn2code", just as the journalists, artists, and trucker drivers had to.
I'm very sorry, but the goalposts are moving so far ahead now, that's it's very hard to keep track of. 6 months ago the same comments were saying "AI generated code is complete garbage is useless, and I have to rewrite everything all the time anyways". Now we're onto "need to prompt, apply patch, verify" and etc.

Come on guys, time to look at it a bit objectively, and decide where we're going with it.
Honestly, I didn't bother making a better case for why I wouldn't want a $6,000 laptop in large part because the nerve people have to argue that theft isn't a concern at all made me stubborn. Theft is one reason, but a laptop is also a hell of a lot easier to simply break or lose than a desktop that is permanently installed somewhere, and a desktop is more upgradable and repairable, with typically much more I/O.

Today's baseline laptops are really good as it is. 32-64 GiB of RAM is plenty, and at least on PC laptops you can do it fairly cheaply. Apple has been a consistent year or two ahead in mobile CPU performance but it fell out of my consideration ever since I realized the M1 and 7040 were both very sufficient for any local computation I cared about. (I'm not going to say I'd specifically go for less efficiency or performance, but it has become significantly lower priority over other things like repairability.)

Not really specifically hating on Apple, here. If I was going to get another Mac it'd be a Mac Mini or Mac Studio probably, ideally with a third-party SSD upgrade to both save on costs and get a slight bit of extra drive performance too. I've definitely considered it, even though I am very far from an Apple fan, just due to the superior value and efficiency they have in many categories.
Crowdstrike took down all windows boxes that had their software installed and didn’t really affect them.
Study:

Metabolic Bariatric Surgery in the Era of GLP-1 Receptor Agonists for Obesity Management
- https://jamanetwork.com/journals/jamanetworkopen/fullarticle... | https://doi.org/10.1001/jamanetworkopen.2024.41380 - October 25, 2024
It’s been a lot longer than a day.
Garbage in, garbage out. More garbage out. Mmm... that garbage is looking pretty good. Can we have some more garbage?
> Or maybe we start with what we know (carbon-based)

But we know more than one thing. One of those things is the Fermi paradox - that the universe should statistically be full of evidence of life, and yet we struggle to find it. That may be evidence we're making the wrong assumptions.

> keep our minds open to other possibilities...

Yes, and I'd argue that means including scenarios like Jupiter's moons in our search. (As a bonus, Jupiter-style planets, being larger and far from the star, are substantially easier to find.)
If you're going fast enough, you don't need lift.

But judging by "in four hours" I'm guessing he's imagining something somewhere in between those two extremes. High enough to substantially reduce drag, low enough that you don't need to approach orbital velocity to maintain altitude.
The thing that has me most inspired is that one will finally get to ask the questions that seemed strange to ask before. Like, 1:40 times, when I press the button nothing happens for 10 seconds and I don't know if I've pressed the button properly.
VMS was the first multiuser system I used in 1991. I was amazed that a single computer could have 300 users logged in all doing their own thing.

I learned to program in C and tried using Borland Turbo C on a DOS. Go outside of the array index and you could easily crash the entire machine which meant reboot and try it again. I thought the concept of memory protection was incredible! Why didn't every computer have that?

It was the first time I saw email, sending messages, and the phone utility for chatting with other users while waiting for your programs to run in the background.

I moved on to an IBM RT running AIX and got hooked on Unix. That's the system I wanted and have been running Linux since 1994. But VMS still holds a special place.
I wonder if this was downvoted because i listed a source (and my comment history has the actual recording linked), or because i tongue-in-cheek suggested that $3.85mm wasn't enough for me to personally build this, but $6mm is. let me know in the comments and don't forget to like and subscribe.
The Tangs, New Donor Royalty, Step into the Spotlight
This one is not too bad since it's only once per device, assuming they define a device by generating some unique value at first login so I really won't have to go through it again despite any updates, changes in network, etc.

In general though I have become incredibly sick of mandatory 2FA for every-goddamn-thing. I do use it very often, but it should be my choice and not forced on me. The usual retort is blah blah blah I might understand the trade-offs but normies don't and so forcing it is a net positive, but I'm me — not them, so that usual response is just to tell me that my feelings don't matter.
> But there is a culture of "that CEO is so smart, no chance you could compete". Reality is, they are just hiring random people with fancy degrees.

Being charismatic, good talker and not having too strong moral principles will often also work most of the time, unfortunately.
>There is already SO MUCH more demand for code than we're able to keep up with. Show me a company that doesn't have a backlog a mile long where most of the internal conversations are about how to prioritize what to build next.

We really are in AI moment of iPhone. I never thought I would witness something bigger than the impact of Smartphone. There are insane amount of value that we could extract out. Likely in tens of trillions from big to small business.

We keep asking how Low Code or No Code "tools" could achieve custom apps. Turns out we are here via a different route.

>custom software because they'd need a team of 6 working for 12 months may now hire developers if they only need 2 working for 3 months to get something useful.

I am wondering if it be more like 2 working for 1 month?
If you eliminate the contractors, the work doesn't get done. So either you give up on getting the things done (which is illegal, since the things are federal law) or you nationalize the contractors (which will save some money, but not the entire current budget).

We can definitely save some money if we stop demonizing federal employees, and imagining that we can improve it by creating a new layer of middle-men by privatizing the same work. But for that matter, we could save a lot of money by taking what the government does seriously, instead of as a combination football, whipping-boy, and trough.
Reminder that you can actually physically dike out the cellular antenna/telematics module while keeping the rest of your infotainment system intact using an aftermarket wire harness[0].

[0]: https://www.autoharnesshouse.com/69018.html
I really appreciate the innovative spirit behind the Pebble watch! It was groundbreaking to have a hackable device that allowed users to customize their experience. The ability to run a step detection algorithm and see real-time data was a game changer for health tracking. It's inspiring to see how the Pebble platform paved the way for future wearable technology. Kudos to the entire team for their dedication and vision!
Yes a capacity increase from the developer side is great but it's supply side and we need to figure out how to accelerate transforming needs into demand. This is what I foresee developers turning into (at least some capable of this). Articulating logical solutions to be built to problems and evaluating results from what's generated to ensure it meets the needs.

Aka Devs can move up the chain into what was traditionally product roles to increase development of new projects. This is using the time they have regain from more menial tasks being automated away.
I like it! With the width and quick copy options under appearance settings there are no glaring issues, but there are two big benefits:

1. It's much faster. This alone makes the refresh worth it imo.

2. The edit item / fill item UX is much more consistent than it was. Before, when you search for and click a card it opens the item, but if you click a card because it matches the current domain then it fills the item, to open it instead you have to click the little "open item" button. Even as a long time user I would often misclick because the context changes the behavior of clicking a card and my muscle memory would be the opposite of what I wanted. Now there's a "Fill" button when a card matches the current domain and clicking anywhere else always opens the item. My only critique is that the Fill button could be a bit bigger to so it's easier to click.
This is truly the biggest breakthrough from DeepSeek - that an LLM can teach itself to reason, no human feedback needed.

That’s nuts and brings forward the idea that an AI is close to self improvement.
I am equally confused about the false equivalence arguments. All of the examples you cited are bad to various degrees, and one of the tricks authoritarians use is to do outrageous things and leave us guessing as to whether they “really mean it” or not.

Hint: if they get away with it, they meant it. If there are consequences, they “were just joking guys, geez, so sensitive!”

As for corporations accommodating governments that behave badly, that’s nothing new. The spice must flow, after all.
If she thought those questions were disconcerting, I have some bad news for her about the answers to those questions.

"Were they forced to work?" Yes. Yes they were.

"What if one of them decides not to? Are they imprisoned on the tracks?" In one episode Henry refuses to work, and that's resolved by him being immured in an old tunnel, behind a brick wall. Forever.

https://ttte.fandom.com/wiki/The_Sad_Story_of_Henry

https://static.wikia.nocookie.net/ttte/images/9/90/TheSadSto...
The literal bait-and-switch of "Oh hey Open AI is nonprofit I promise guys!" and then turning around and switching it to profit.

That alone is enough to walk away from him.
I have a system with a Xeon 8173M (Skylake-generation, 28 cores + HT) with 256GB in a desktop ATX case. I bought the CPU and RAM second hand, and I would guess I spent €600 between them. I bought a new Supermicro X11SPL-F motherboard which cost about €500. Add in PSU, SSD, the case, etc. and it was under €1,500 for a considerable amount of computing power which doesn't make a lot of noise and has reasonable power consumption for my needs.
Iron Dome in particular is a short range system that Israel needs because it receives large volleys of low performance missiles [1] from a short way away. They've struggled to sell it to anyone else because other countries don't have that problem.

If anybody is shooting missiles at the US they are by definition going to be very high performance ICBMs because there is no missile threat from Mexico or Canada or even Cuba or Venezuela for that matter.

[1] https://en.wikipedia.org/wiki/Qassam_rocket
Chat history is a text file. She is paying $20/mo to host a text file. If you pasted that text file back into Whatever... then you would also retain the chat history. How economical.
Interesting, lets just see what Facebook runs on...
Great questions.

> Is it to get a more exhaustive survey single star or can full of stars?

PLATO will look at 100k+ stars at once. And for most we will be unlucky to see a transit between PLATO and the star. Geometrically it won't align - imagine the star systems being in different angles from us. To bring an analogue - Take a pack of cards and throw them in the air, and take a quick picture while they are sitll in the air - how many cards will be facing the camera exactly with their edge. For us to spot a transit, the planet has to pass between us and the star. If the orbital plane is not parallel to us, we will miss the transit. So that's one of the reasons why it helps to look at bunch of stars with transit method. We expect that about 1% of the orbital planes will be aligned so that we can get meaningful data.

> Or does that help it find smaller/further/different planets?

Imagine you are trying to find Earth from another solar system. The longer you look at our Sun the higher the likelihood that Earth will pass between you and the Sun. And once you get lucky, and the Earth transits between you and the Sun, the brightness of the Sun only dips about 0.01%, so that means that in order to find small planets we have to have sensitive instruments and little noise, so that the dip in brightness can be measured. Furthermore, as the planet passes the transit and continues on its orbit, the perceived brightness of the star will increase, due to the planet reflecting some extra light. Measuring that can gives us some rudimentary information about the atmosphere - e.g. if a small planet reflects a lot of light back, maybe it's covered in clouds or snow.

> And how do they pick where to point at?

There's a whole complicated process to find consensus on where to point. Basically they look at spots that have lots of stars, and they look what type of stars they are. Here the objective is to find planets around Sun-like stars, so they would prioritize fields that have more Sun-like stars.

> Is there a way of guessing the likelihood of finding a planet?

It seems that some stars are more likely to have planets than others.
I know the details, I've been through the wading, thrashing around the docs, the books, I just can't recall the right incantation at that moment and a LLM is more efficient than searching the web.

I still have the skills to search the web if the magic piano disappears.

Don't know why you are trying to come up with a situation that doesn't exist, what's your point exactly against this quite narrow use-case?
in Vernor Vinge's novel A Deepness in the Sky the alien planet freezes for part of the year and the intelligent aliens have evolved to survive being frozen and thawed. One group develops technology to say unfrozen while their enemies are frozen and this gives them a huge advantage.

Great book and I highly recommend it. Also has concepts of realistic mind control that is VERY creepy and the ultimate in distributed computing based on smart dust.
There is a difference between not telling someone how to make Sarin/age-gating certain topics and censoring works of fiction or references to politicians and anyone who claims there is not is so full of shit they need to have their stomach pumped.
Scheme requires TCO. It is a different Lisp (it also has standard[s]).
I'd like to hear more about this training -

I have started to put together some resources to teach C suite, maybe new-to-the-field lawyers, other interested stakeholders - about website compliance issues..

looking to mimic other good training / learning materials, extra info to consider, maybe collab and send business I can't take on, etc.
I think this extends to a lot of normal people’s instinctive hatred of AI: they dislike it in part because they perceive it as being pushed on them by some pretty slimy people
Good for you! Myself, I agree with you that Chamberlain is a great model to understand Trump.

Pretends to be a pacifist while buying time to strengthen the national economy to fight a big war everyone knows is inevitable because everyone wants it.

FDR is also a great model for Trump to understand the political levers to crush both an unelected and disloyal deep state and legitimate opposition.

However, may I also recommend you read a history book that doesn't bracket the world wars?
I have not kept up, can you recommend something?
Undergrad degree is neither here nor there.

Bill Gates is a tech founder.
Right but traditionally the difficulty in organizing people is solved with money. Just keep hiring until the product gets done. Thats what we saw here, OpenAI wanted 500 Billion! Reality is the money wasn't necessary, what they really needed was innovation. AI will obsolete people that solve problems with brute force money, which is the modus operandi in VC backed startups.
wait until it crosses a few thresholds we’re fast approaching. ai that performs at intern level vs phd vs domain leading expert level. ai that has the full context of what youre doing immediately accessible. ai that can agenticly autonomously navigate the computer environment without stumbling blocks.

i think the difference between intern level ai and domain leading expert ai is a few algorithmic adjustments away using a type of reasoning reinforcement framework (like GRPO) which deal with competing signals in a better way. instead of averaging them, it reasons which contextually signal should take precedent. its the difference between lets say taking a vote among the common populace on how to build a nuclear power plant and finding an expert and figuring out where the experts decisions should take precedent and where other experts decisions should override.

square that away and the embarrassing feeling on the promise of ai should wash away.
Sonar System "Sees" Bat Echolocation in Action
Did that, didn't help me much, because another pain point is that the menu takes longer to open on first open.

And search input until it's first rendered is lost now.

Context: I need to input a 2fa code every morning when I start working - previously this was click on Chrome extension, type work, move hand to mouse.

Now it is click, wait wait wait click again wait wait wait wait, click (menu opens finally), click on search input, type work, click on copy 2fa code
Yeah the printing money bit. Generously one might even say that that’s the reason for printing more money: make sure that the value of peoples investments decays over time so there’s no need for the market to crash to “get the money back out”.
HuggingFace demo: https://huggingface.co/spaces/Qwen/Qwen2.5-Max-Demo

Source: https://x.com/Alibaba_Qwen/status/1884263157574820053
We can hope that there will be a paradigm shift
If the current hubbub around DeepSeen is really because they ”created their model” with like $5M when previously ”creating a model” cost $500B, it is rather obvious that ”creating the model” with just $30 implies the meanings of the three ”creating a model” expressions are highly divergent.
Uh, what?

https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson...

Er, I don't think so.
I don't think trusting that someone wrote the code was ever a good assurance of anything, and I don't see how that changes with AI. There will always be certain _individuals_ who are more reliable than others, not because they handcraft code, but because they follow through with it (make sure it works, fix bugs after release, keep an eye to make sure it worked, etc).

Yes, AI will enable exponentially more people to write code, but that's not a new phenomenon - bootcamps enabled an order of magnitude more people to become developers. So did higher level languages, IDEs, frameworks, etc. The march of technology has always been about doing more while having to understand less - higher and higher levels of abstraction. Isn't that a good thing?
DeepSeek Disruption Has Its Upside
Being a dictator is absolutely what he campaigned on. He literally said it, and signalled it in every way possible. Those that didn't see that coming either weren't paying attention or wanted it to happen.
It might as well be a billion. Humans in our current form can't survive interstellar travel. We would need a far more durable substrate.
The Relationship Between Artificial Intelligence and Human Intelligence
I hate it so much that HN automatically removes some words in headlines like „how.“ You can add them after posting though for a while by editing the headline.
Thank you so much, I hadn't even considered that there might be an option since I'm so used to UI's getting worse over time.
If their time was actually wasted, paying a few or several thousand dollars for a tool would have been profitable a long time ago.

Usually, there are hidden payoffs that motivate things that seem like waste.
The power of advertising and first-mover advantage. Outside of the tech space, people really only know of godaddy if they want to buy a domain.
> in most cases you don't need to search anywhere near that many

If the pin is chosen randomly with a uniform distribution over the 0000 to 9999 range, then the average brute force search will probe 5000.5 combinations.
FluConf 2025
There are several weird aspects in this thread. I would like to clarify that I don't know Sam Altman nor don't care about him, and do not hold an opinion regarding whether he is a good or bad individual.

First, the title is inaccurate and misleading. It does not pertain to the hopelessness of competing with OpenAI; rather, it addresses the challenges of competing in the training of foundation models, which is not the same.

Moreover, what he stated is likely true. Training a model with a budget of $10 million will likely yield limited results. I appreciate his anwser.
I love the concept, long live Taylor
Yes if you play optimally every game is winnable with a full clear. If you make some mistakes you can still win but not get a full clear. If you make too many mistakes it may become unwinnable.
It doesn’t break the attitude. The number one problem DeepSeek’s CEO stated in an interview is they don’t have access to more advanced GPUs. They’re GPU starved.

There’s no reason why American companies can’t use DeepSeek’s techniques to improve their efficiency but continue the GPU arms race to AGI.

DeepSeek’s impact does not change any attitude.
I mean, that's multimodality, but fine-grained editing of a previously generated text->image prompt is an entirely distinct thing, no?
Love aider, thank you for your work! Out of curiousity, what are your future plans and ideas for aider in terms of features and workflow?
As has been pointed out by other HN users, these are models distilled from DeepSeek-R1 and are based on Llama and Qwen. There's almost zero chance OP has a computer capable of running the full 671b R1 model locally.

Realistically they might be able to run a 4-bit quant of the 70b model though.