skysight-inc/HackerNews huggingface dataset:
It's definitely a bachelor pad in the pic. These days I'd definitely want some sofas, pillows, and rugs in there. Would probably even make the hi-fi sound better. And yes, the lamp stays!
Meta in Talks to Buy Stake in Eyewear Giant EssilorLuxottica
The problem is that people who do decisions don’t understand the technology. Most IT managers in Germany do not even know how programming works. There are exceptions, but the biggest players are people flying in blindsight.
Since Claude 3.5 Sonnet was released I can't go back to GPT anymore. It sounds too "robotic" and is overly verbose. It explains every little detail that I don't want to know and still is far worse than Claude. OpenAI has to really step up their game if they don't want to fall behind. In fact, GPT-4 got worse back in November, the best version is still the one from June 2023 but it's only available in the API.
You can argue against proprietary firmware, but is this all that different from other types of devices?
Higher refresh/modulation rates imply higher power consumption. It’s already a trade-off in current display tech for mobile.
> At one point he’s claiming that a stable non tech company like a tractor manufacturer is paying 5k-10k.

Seems a bit strange to call the tractor manufacturers non-tech companies. The modern tractor you can see is essentially just a case around what is a rather advanced computer. Hell, the Right to Repair topic that has garnered attention in semi-recent times centres specifically around tractors having become computers. What is tech if not that?

Sure, the typical worker – even when constraining to software engineers – isn't making anywhere near that much (nor are they at any company, not even FAANG), but it is likely that certain key players are.
My silicon valley based employer did same pay bands throughout the UK but people in my regional office were offered roles in lower bands for their skill set compared to London. It was more money for less responsibility compared to local companies so not a hard decision.
The SentencePiece library also implements Byte-pair-encoding. That's what the LLaMA models use and the original Mistral models were essentially a copy of LLaMA2.
4o mini is more efficient so it costs them less than 3.5 turbo to host it.
GeoCities Google Easter Egg
Looked up what GeoCities was after seeing [this comment](https://news.ycombinator.com/item?id=40996801).

I wasn't on the internet at that time, but apparently it was an early internet web hosting service.

Google seems to be paying tribute to it by changing the font of the entire page to Comic Sans; I assume this is to poke fun at the bare-bones websites of the old days.

Kind of cool.

https://en.wikipedia.org/wiki/GeoCities
https://x.com/HotAisle/status/1813989556032807093
"no disagreement = fact"
What? This is objectively wrong.

"the left is generally more passionate about politics and power"
What? This is objectively wrong.

"People are pretty good at agreeing on facts already"
What? This is objectively wrong.
> Even in NYC/LA/Chicago: the postal carrier has a small area they are responsible for, they are just as likely to know all the names as a postal carrier in a small town

A full name and zip code are also frequently unique.
Euclid Reference Publications: The Flagship Simulations
Can you produce "white" with just two wavelengths?
I have, one of the few positives side effects of the pandemic is realizing how terrible most health professionals are.

“They are a doctor” comes with a whole different set of priors to me now.
There was a beginner friendly machine to hack on HackTheBox where you had to hack a Devzat instance
I agree with this 100%
I'd love for the people downvoting to tell me why I'm wrong to think this is weird.
This is absolutely delightful. Perhaps my favorite line:

"Without it no websites, no Roblox studio, and no nothin."
When you write a procedure that has to maintain an internal state between calls, changing it into a class makes sense. As for the name, you change the verb (write) into a noun (writer), and you now have a name for the class.

C# will silently create hidden closure classes for you when you use lambdas or yield.
Effective regulation was not achieved, so it makes sense to demand the next most beneficial action for users. I wouldn't trust the people in charge though.
A Journey into Rebel-Held Myanmar
I love it. Keep it simple, Naya.
>The sad part is she never tried being a friend first. Helping someone else. That builds bonds for real friendship.

Or people will take advantage of you. I have an acquaintance who bought a new house and there was always some chore around the house that needed help. Turns out I was the only idiot trying to help. The result was not friendship.
Swift outage hits house sales and payments across UK and Europe
Right but usually they tell the founding engineer that they are a CTO, give them equity, but low salary. In real venture backed businesses where the equity ends up having real value, the "CTO" is gone by ~18 months. This is the point where the product is in the market, and is getting some sales. I see it constantly by non technical CEOs in NYC
It reads like most of your issue is with my phrasing, which was deliberate to soften the comment so it doesn’t come across as accusatory.

>I’m not even sure how you would answer the question.

It should probably be answered in the same way we’d answer the converse. Something like “here is the data and the tests that show the data quality is high and the results are replicable.” My point was, if you can’t show that, then the claims that the work is good may not be scientifically valid.

To put a finer point on it, we know there is replicability crisis in many corners of science. But we don’t likely know how much of that is due to bad science or outright fraud unless we do the science-y work to check. And unfortunately many of the incentives are aligned against that very thing.
I am calmly waiting for the SEC to rip them a new hole the size of Manhattan when hallucinated spreadsheets inevitably make their way into listed companies' reports.
Dithering is at worst equivalent to subpixels, which we already use.

If you take the "no subpixels" claim out of the article, this technology still seems useful for higher DPI and easier manufacture.
I used DEC's VAX OPS5 for a couple years about around 1990. I quite liked it, and the later versions had some really nice extensions over Forgy's original design.

Then we discovered that our particular rule base could easily be ported into C using a sequence of nested if/thens that ran much faster, and we stopped using OPS5. It was a great tool for doing the initial development, though.
Twiddler (chording keyboard) version 4 is available
There are a few magical algorithms/systems which give you superpowers if you can find the right application for them. At least in the pre-LLM era, they were some of the magical tools we had, for just solving declaratively specified difficult problems without us explicitly writing code, while (unlike certain AI techniques which shall remain nameless) providing correctness guarantees and often being deterministic and stable.

Prolog and logic programming is one, together with its relative, constraint logic programming, and its relative mixed integer programming, which in turn is part of the broader linear and convex programming family.

What else should we put in that category?
I think calling it hallucination is because of our tendency to anthropomorphize things.

Humans hallucinate. Programs have bugs.
Love this! What a wonderful idea. I hope to encourage my daughters to do similarly as they learn about computers.
Agreed on defense procurement revenue vs their current revenue streams. But they are given national-level amounts of resources (eg gigawatts for their data centers). In a wartime footing that would go away unless they re-oriented to serve common effort.
You can turn on MITM html injection of Cloudflare analytics for proxied sites.

[0] https://developers.cloudflare.com/analytics/web-analytics/ge...
Honestly, I remember now getting this interview, but it isn't it. I looked through the whole transcript and the interviewer was not skeptical of computers, there was hardly any mention of the Dewey Decimal system etc.

Is there anything else? That one I had only audio, it a radio show I believe. And the guy was talking about music and dewey decimal system etc. Must have been 80s or 70s. It wasn't Alan Kay
Oh, I didn’t say they work - but yeah, they had a good bit of money a century ago and invested in modern infrastructure - and not a jot since in an awful lot of the regions.
The big news for me here is the 16k output token limit. The models keep increasing the input limit to outrageous amounts, but output has been stuck at 4k.

I did a project to summarize complex PDF invoices (not “unstructured” data, but “idiosyncratically structured” data, as each vendor has a completely different format). GPT-4o did an amazing job at the extraction of line items, but I had to do a heuristic layer on top to break up the PDFs into small chunks so the output didn’t overflow.
The Mythical Man Month by Frederick Brooks. The examples are old, but the wisdom remains. Particularly the chapter (and CACM article) No Silver Bullet-- Essence and Accident in Software Engineering (1986).

Or just: https://xkcd.com/1425/
Yeah, to put these prices in perspective: when tokens get this cheap, $1M buys you more than a trillion output tokens.

To earn appreciable revenue at this price, an LLM company needs to be regularly generating multiple internets worth of text.

On the one hand, generating multiple internets of text seems outlandish.

But on the other hand, we're now approaching the point where you can start building LLMs into software without fretting about cost. Now that you can buy ~30 pages for a penny (instead of a dollar) you can really start to throw it into websites, games, search bars, natural language interfaces etc. without every user costing you much.

But small models are not the endgame for these AI companies, as truly general intelligence is a market worth trillions.

What this ~98% cost drop over 2 years hints at is that when AGI does arrive, it might not be horribly expensive.
It trains locally and send the combined gradient update to a central server.
Yeah, I think you hit upon what I was trying to describe. It's also so crazy because when you're in this mindstate you truly feel that not only are ovals a primary color but also that this is a deeply profound idea

That being said, i'm a fan of this category of drugs and do feel like they can be very useful tools for introspection and other mental exercises (and they're fun lol).

I just think "drug people" take this stuff too far and often I find my reaction to things they're saying be eye rolling or thinking "it's just drugs man relax"
Post job ads in the whoishiring thread https://news.ycombinator.com/submitted?id=whoishiring A new one is opened on the first of every month.
There is no dream-reality separation in an LLM, or really any conception of dreams or reality, so I don't think the term makes sense. Hallucination works fine to describe the phenomenon. LLMs work by coalescing textual information. LLM hallucinations occur due to faulty or inappropriate coalescence of information, which is similar to what occurs with actual hallucinations.
> organism wants to destroy itself

Organisms don't want anything. They're a complex cascade of chemical processes.

You're correct in that programmed death is a factor in aging. (It's most dramatic in octopuses: removing a physical gland causes them not to brood. Unfortunately, octopuses being aggressive cannibals, this also causes them to devour their young [1].) But if it were 100% programmed death, the problem would be easy: change the code. It's not solely programmed death, but a complex mix of programmed death, accumulated damage and the body not really bothering with the latter, maybe due to the existence of the former [2].

> Trying to use the modern medical approach, where the body is assisted with what it wants to do anyway

A lot of medicine is forcing the immune system to stop going Rambo.

[1] https://pubmed.ncbi.nlm.nih.gov/17787564/

[2] https://www.nature.com/articles/s41392-022-01251-0
Keep in mind that Gemma is a larger model but it only has 8k context. The Mistral 12B will need less VRAM to store the weights but you'll need a much larger KV cache if you intend to use the full 128k context, especially if the KV is unquantized. Note sure if this new model has GQA but those without it absolutely eat memory when you increase the context size (looking at you Command R).
You really can't think about single wavelength tunable pixels as something except at the edge HSL.

I think about it from the CIE "triangle" where wavelength traces the outer edge, or even the Lab (Luminance a-green/red b-yellow/blue) color space since it's more uniform in perceivable SDR color difference (dE).

https://luminusdevices.zendesk.com/hc/article_attachments/44...

One key realization is that although 1 sub-pixel can't cover the gamut of sRGB (or Rec2020), but only 2 with wavelength and brightness control rather than 3 RGB. Realistically, this allows something like super-resolution because your blue (and red) visual resolution is much less than your green (eg 10-30pix/deg rather than ~60ppd). However, your eye's sensitivity off their XYZ peaks are less and perceived brightness would fall.

I guess what I'm saying is that a lot of the assumptions baked into displays have to be questioned and worked out for these kinds of pixels to get their full benefit.
Wow...it made everything worse.
She goes to parks, library story hour, gymnastics, soccer, and pre-school/playgroup. None of it involves Meta/X/TikTok/Google, and all of them have other kids. People still do things in the real world. I see older kids in some of those places too. I suspect that doing things has a natural tendency to select yourself into a social group that does things. Want to not be part of crowd that sits in a room shooting up? Go outside and you'll find your like-minded group.

Obviously she's not going to go through life having never heard any music, but I don't think you'd really need to hear someone else to be able to walk up to a piano, press some keys (perhaps even simultaneously), and think "hey, that sounds nice". It's pretty easy to discover a bunch of chords by accident. Rhythm is even easier to make up your own thing. Whether no one has ever heard it is irrelevant to whether you need to have heard someone else to make it up.

She doesn't need to make an album for you. She can create for her and for us. You and the people in your life can create for you. That's kind of the point of not buying into consumer culture.
Thanks for that link. I've changed the link beneath the Cinder mention to that page instead of the GitHub page.
Of course it is. It's time to call this BS what it is.
Coding Sucks (2022)
This. But compared to the fluorine, ammonia is not particularly toxic.
Besides the DoD itself, the US Army and Air Force also have Civilian Service jobs and I'd assume the other branches would do something similar. Get into local, city, state government (as an employee vs public office.) Knowing GIS is always handy.
> what if we trained deceiver models that would provide a sound chain of explanation but then perform some kind of deception and output an incorrect answer?

You're right on target! That's exactly what they're doing in the paper. They train three models -- a verifier (that rates answers as sounding correct or sounding wrong), a "helpful prover" (that provides correct answers), and "sneaky prover" (that provides incorrect answers that attempt to deceive the verifier into scoring its answer highly).

This adversarial relationship between the "helpful prover" and the "sneaky prover" is the cool part of the paper (IMO).
I don’t know that I’ve ever seen such a short article so clearly demonstrate how much don’t actually care about the people who they are to trying to placate. They’re changing the feather because it’s apparently offensive to reference it, but they’re not changing the name because it would cost money. Even though the name is way more tightly tied to the people than the feather. I don’t actually care about the logo or the name I just find having the dichotomy so clearly spelled out interesting.
We need function calling, which wasn't great in Groq when we last tried it, but they seem to have made progress on it. We'll be testing it again soon.
EV Trucks are still a long way off. The simple fact is that the power to weight ratio of batteries simply does not scale for anything that needs to do towing [0].

Super Duty trucks are specifically designed for towing capability. Specifically, they are classified as class 2 or 3 by the federal government. They have higher tow capacity, higher rated transmissions with better towing gear ratios, as well as different suspensions and chassis, all of which are designed separately from the F-series. These changes yield a higher gross vehicle weight, as well.

None of this means that Ford couldn't be pushing into better performance and emissions through hybrid technologies. Ford is slowly releasing full-size truck hybrid technology, but I'm unaware of this being brought to Super Duty trucks. The big advantage of hybrid technology is that weight does not directly affect the efficiency of power recovery, and would scale well even to vehicles that need to be towing in excess of 10k lbs.

[0] - https://www.youtube.com/watch?v=S4W-P5aCWJs
I’m a little skeptical of processes that seem to create more information than you had to start with. For a game like chess or Go, it makes sense, because winning strategies are implicit in the rules of the game, but it takes a lot of computation to discover the consequences. Similarly for math where theorems are non-obvious consequences of axioms. And computer code can be similar to math.

But how does that work for an LLM in general? They’re trained on everybody’s opinions all at once, both right and wrong answers. They’re trained to generate text supporting all sides of every argument. What does more training on derived text actually do?
That’s a great idea, they could even change the name of their company to reflect their new open source philosophy.
We = The people with guns who control the nation and access to the inputs and trade networks (e.g. ports, sea-lanes, highways), and informations systems (e.g. fiber) that these companies rely on.

I also have no doubt that you personally might refuse to participate, but enough of your peers will re-orient to enable the corporation to keep moving.
the bidirectional (relational) aspect of prolog is what got me into this. I love symmetries so it was a natural appeal even before I learned about logic programming (Sean Parent made a google talk about similar ideas implemented in cpp). That said it's very limited. But I wonder how far it could go. (the kanren guys might have more clues)
I've found that all the top foundation models already understand spreadsheets very well, as well as all the functions, as well as all the common spreadsheet problems people run into using them. The Internet is chock full spreadsheet support forums and tutorials, and the foundation models have all been trained on this data.

With not very much effort, one can explain to an LLM "here is a spreadsheet, formatted as..." which takes about 150 word tokens, and then not much more mental effort in your favorite language to translate an arbitrary spreadsheet into that format, and one gets a very capable LLM interface that can help explain complex arbitrary spreadsheets as well as generate them on request.

I've got finance professionals and attorneys using a tool I wrote doing this to help them understand and debug complex spreadsheets given to them by peers and clients.
Acoup tought me a lot and changed my mind a few times, and the paper is interesting but far from the state of the art. Even so, I don't think their disagreement is big, and looking at the core of a new empire as barbarians/ noble savages is an incorrect label of the old empire.

I'd say the power of a group of people depends on not only the size, but also on the morale and organization. Mr Deveraux mentions something similar at the end of your link.

Looking trough this lens, the change in Age from Intellect to Decadence is a hidden breakdown of the organization. Even if the number of people rises, the coherence and trust of the group disappears.

The other end of the Glubb paper seems similar. The old empire is less organized than everyone expected, and the 'barbarians' are actually a new group, better organized and more willing to adapt then expected.
It's been 7 since I wrote it. I still appreciate it, if not on its own merits, for being an honest expression of who I was at the time and how its led to who I am now.

I think concerning oneself too much about how things will be perceived in the future like that is a good way to kill off most honest self-expression.
Right-click the Send button to schedule messages.

Turn off gif auto-loading.

Use @Everyone to notify everyone in a chat (versus channels).

Create a new chat to yourself as a pastebin.

Some bots can be @-mentioned personally, so you can try subcommands (like help docs) without pinging everyone in the channel.

When creating bullet lists, Shift-Enter can add to the current bullet. Nifty to paste a link, S-Enter, then include an explanation. Press Enter to start the next item.

Press ```<Space> to start a code snippet.
I'm glad to see that he mentions GNU Radio in his slides. It's amazing what you can do with it. I built a VOR receiver a few years ago.

I'll migrate it to the new QT based display sometime this fall.
Show HN: Ggl.link – free, branded successor to goo.gl
It's in the FAQ.

When a name has been in use as long and is as widely used as ours, the legal, technical, and financial ramifications are broad and deep. A name change effort would have a hefty price tag, would take multiple years to implement, and would have to be led almost entirely by volunteers. As a 501(c)(3) not-for-profit organization, it is not possible to divert the majority of our funding and volunteers away from our primary mission of providing software for the public good, especially as the foundation prepares for mandatory changes that will come from the Cybersecurity Resilience Act (CRA) and other pending legislation. Because of these very real challenges, at this time it would be very difficult to implement a legal name change for The ASF.

Because of these reasons, the ASF Board has decided to prioritize changing the logo and branding and not changing the organization’s name at this time. It is important to us that we take whatever actionable steps we can now to create a more welcoming and inclusive community.
ShmooCon to take its final bow in 2025
No, I'm not saying that at all.
They already have these, but people need to modify the GPU designs before it is really relevant. The current AI hype cycle has frozen development in this area for now... so a super fast 1990's graphics pipeline is what people will iterate on for awhile.

Nvidia is both a blessing and a curse in many ways for standardization... =3
Google does do work for the military.

Here is one source of many that came up from a quick Google search:
https://techinquiry.org/?article=google-aerial
But not Proton and Scribe's AI: it trains locally and send the combined gradient update to a central server,
To give you a vignette in my job - I am right now debugging a piece of open source code that had some auth changes at sometime in the last several months with no changes in the docs to suggest a config change is needed. I have to figure out how 3-4 different frameworks are resulting in this not working.

If my boss messaged me right now and handed me something that required a similar data structure change, I'd stumble on it for about an hour or two until I understood that actual problem.

I'm sure I could "invert" a binary tree if I had to but it'd probably take a far more than reasonable time as that just isn't something I'm dealing with nor most rank and file devs.