skysight-inc/HackerNews huggingface dataset:
Its not HBM, which GPUs tend to use, but it is on package and wider interface than other PCs
Science takes decades, but there are many places where we could have more amazing things if we spent 10 times as much on applied R&D and manufacturing. It wouldn't happen overnight, but it will be transformative if people can get access to much more automated R&D. We've seen a proliferation in makers over the last few decades as access to information is easier, and with better tools individuals will be able to do even more.

My point being that even if Science ends today, we still have a lot more engineering we can benefit from.
No one said anything about “fairer labor regulations”, only a “free and liquid market in labor”. Free movement of labor is, as much as free movement of goods and capital, a component of a free market. Restrictions on labor movement are market restrictions which make a market non-free.

A free and liquid market in labor has some overlap with what people concerned with fairer labor market regulations want, but in other areas is diameteically opposed to what they want.

Free markets are unrealizable abstractions that lots of people like to appeal to vaguely, but very few consistently favor as more than a rhetorical device.
I seem to remember a linux kernel dev quiting and not being able to specify exactly what you say this wrapper should abide by as being a contributing factor.

If those specifications were written down clearly enough then this dev wouldn't have needed to spend 5 days debugging this since he spent a significant amount of time reading the documentation to find any errors they are making that is mentioned in the documentation.

And don't say that they can actually just read the rust code and check that since well, I can't read low level rust code and how any of the annotations ca interact with each other.

A single line of rust code could easily need several paragraphs of written documentation so that someone not familier with what rust is specifying will actually understand what that entails.

This is part of why Rust is difficult, you have to nail down the specification and a small change to the specification causes broad changes to the codebase. The same might need to happen in C, but many times it doesn't.
With Gaza war and Trump's return, Silicon Valley embraces a military Renaissance
Clojure Backtesting Library
For those of you more familiar with metric units, 50 years is approximately 1.58 gigaseconds.
I don't want to be mean, but that bit of eastern wisdom you dispensed sounds incredibly like what a management consultant would say.
Not to the volume needed to compete with the training infrastructure setups of Anthropic or OpenAI or other leading players

No ban is perfect, there is always some loopholes or illegal exports this is to be expected, but if it prevents large scale transaction then it it is achieved its goal.

The question is rather do they we need a lot of gpus to train or training with older gen gpus is not competitive is a different problem.
AI tools may soon manipulate people's online decision-making
Per the link. Yes. Here the specific statement.

Lessons Learned

We believe that all of the vulnerabilities we discovered have been mitigated by Threema's recent patches. This means that, at this time, the security issues we found no longer pose any threat to Threema customers, including OnPrem instances that have been kept up-to-date. On the other hand, some of the vulnerabilities we discovered may have been present in Threema for a long time.
Thats not exactly true. The FCC911 and other government laws require the telcos to have access to location data and record calls/texts for warrants. The problem is both regulatory as well as commercial. It is unrealistic to expect the general public nor the government to go with real privacy for mobile phones. People want LE/firefighters to respond when they call 911. Most people want organized crime and other egregious crimes to be caught/prosecuted, etc. etc.
This is basically exactly a dedekind cut.
There's some Anglophilia among certain parts of the population. They like to create a certain idea of Britishness, and like to associate themselves with that mental image, hoping it will make them appear sophisticated and slightly quirky in a way that makes them superior to the common rabble.
> Neurologists have grappled with a cluster of amyotrophic lateral sclerosis cases in France, where a fondness for a toxic wild mushroom may hold the answer
Touché, but let’s see…
For context, I got M2 Max MBP, 64 GB shared RAM, bought it March 2023 for $5-6K.

Llama 3.2 1.0B - 650 t/s
Phi 3.5 3.8B - 60 t/s.
Llama 3.1 8.0B - 37 t/s.
Mixtral 14.0B - 24 t/s.

Full GPU acceleration, using llama.cpp, just like LM Studio.
Agreed, this feels like fraud
VESA reveals new performance tiers for motion clarity and HDR quality
> There’s a flipside to this too: a lot of better informed people have sworn off LLMs entirely because they can’t see how anyone could benefit from a tool with so many flaws. The key skill in getting the most out of LLMs is learning to work with tech that is both inherently unreliable and incredibly powerful at the same time. This is a decidedly non-obvious skill to acquire!

I wish the author qualified this more. How does one develop that skill?

What makes LLMs so powerful on a day to day basis without a large RAG system around it?

Personally, I try LLMs every now and then, but haven’t seen any indication of their usefulness for my day to day outside of being a smarter auto complete.
I recently discovered my motherboard has a quirky Bluetooth chip which sometimes deadlocks and a simple power cycle was not enough to restore. The machine actually had be power cycled for more than a minute (!).
I was stumped until I found the one reddit comment suggesting I try it... and sure enough.
No. The problem was in the architecture of the asynchronous api w.r.t. the kernel. The last line of the article states; Lesson learnt, folks: do not throw exceptions out of asynchronous procedures if you’re inside a system call!
"The same procedure as every year" - the repetition, the ritual is a big part of it.
Sega prepares to go back to the future
If you look at the rate of mathematical operations conducted, we're already going hard vertical. Physics and material limitations will slow that eventually as we reach a marginal return on converting the planet to computer chips, but we're in the singularity as proxy measured by mathematical operations.
Can dumb 'smart' TVs be the EU's next target, please?
Yeah that's a bad idea. You should instead just create a doc for each number. Each time you add a number the entire list needs copied to disk and to each secondary, so the cost grows quickly with each write.
Just stick to a few modules, you really don't need much if all you want is to get a lot out of your photos.

Here's a tutorial with a suggested list: https://luxagraf.net/essay/craft/darktable-getting-started

Exposure (lighten or darken an image)
Filmic RGB (control how light the whites and how dark the blacks)
Color Calibration (set the white balance)
Color Balance RGB (enhance colors and color contrasts)
RGB Primaries (rarely, but color correction)
Diffuse or Sharpen (Sharpen)
Crop
Tone Equalizer (raise shadows)
Retouch (fix spots)
Rotate and Perspective
Len Correction (fix distortion in wide angle lenses)

For the most part, I don't even touch most of these. But I'd add profiled denoise, though it's probably auto applied and you don't need to touch it (like lens correction).
https://archive.is/OW42q
"Free" transactions are free because they're not immediate. The broker buys the share themselves and sells it to you at markup... ie: there is still a transaction fee, you just have no idea what it is.

Day traders use platforms that are optimized for speed and minimal fees, and that don't charge fees based on lot size.
From my cursory sense of things it seems like both are probably true. The U.S with FDR obviously contributed to it ending when it did, but so did other countries who were there earlier and sacrificed more. The U.S seems like more of a winner in the sense that they sacrificed relatively little while getting the most out of it, but I don't know if that's a good use of the term "won" in the context of a world war.
I believe it's more frustration directed at the mismatch between marketing and reality, combined with the general well deserved growing hatred for SV culture, and, more broadly, software engineers. The sentiment would be completely different if the entire industry marketed themselves like the helpful tools they are rather than the second coming of Christ they aren't. This distinction is hard to make on "fast food" forums like this one.

If you aren't a coder, it's hard to find much utility in "Google, but it burns a tree whenever you make an API call, and everything it tells you might be wrong". I for one have never used it for anything else. It just hasn't ever come up.

It's great at cheating on homework, kids love GPTs. It's great at cheating in general, in interviews for instance. Or at ruining Christmas, after this year's LLM debacle it's unclear if we'll have another edition of Advent of Code. None of this is the technology's fault, of course, you could say the same about the Internet, phones or what have you, but it's hardly a point in favor either.

And if you are a coder, models like Claude actually do help you, but you have to monitor their output and thoroughly test whatever comes out of them, a far cry from the promises of complete automation and insane productivity gains.

If you are only a consumer of this technology, like the vast majority of us here, there isn't that much of an upside in being an early adopter. I'll sit and wait, slowly integrating new technology in my workflow if and when it makes sense to do so.

Happy new year, I guess.
I don't know why you wouldn't just call them "web apps". Why the P and why the acronym.
It's easy to assume that you can always fix things after the fact. And I was only half joking with the fix it in post comment. Modern film suffers from some of the same problem. No need to get it right on the first pass. We can always apply corrections later.
> Try Claude Sonnet 3.5 (not Haiku!) and tell me if, while still flawed, is not helpful.

It's not as helpful as Google was ten years ago. It's more helpful than Google today, because Google search has slowly been corrupted by garbage SEO and other LLM spam, including their own suggestions.
In the kernel case the length of the short hash is fixed at 12 characters. This is part of the article.
Most of the laptops that the models can run on today are in the high end of dedicated bare metal servers. Most shared VM servers are way below these laptops. Most people buying a new laptop today won't be able to run them, most devs getting a website up with a server won't be able to run them.

This means that the definitions of "laptop" and "server" are dependent on use. We should instead talk about RAM, GPU and CPU speed which is more useful and informative but less engaging than "my laptop".
Is this possible because GTA III was originally coded in such a way to be compatible with the Dreamcast, and this is simply tying together lose ends, or did someone go through an absolute butt load of work rewriting huge chunks (or maybe even all chunks) of the engine to make it Dreamcast compatible?
If they're smart, and of course they are, they're not releasing the latest they have. They're releasing something enough to show everyone that they're at parity or better compared to OpenAI. I imagine they already have internal models that exceed the open source one, so there's no real advantage in copying what they released.
A 6 Years' Experience in Mitigating Cross-Core Interference in Linux
As a sovereign nation rises in power you'll notice how it slowly starts losing favor from USA
I might some usefulness of this with some tuning if it could be deployed locally.
I don't see real justification for a ban in the first place.

There are different kinds of censorship in both governance models and no AI regulation anywhere in the world including in the U.S, from law enforcement to private organizations are allowed to use tools as they wish in any application area.

Corporate censorship is real and quite heavy in US, starting from how copyright is enforced with flawed DMCA process , and custom automated systems with no penalties for abusers like with Youtube or section 230 or various censorship bills ostensibly to protect children etc

On top of that organizations will self censor in the fear of regulation(loose 230 immunity for example) or being dropped by partners who are oligopolies (VISA/MasterCard for example).

There are no real democratic or human right considerations here, it is just anti-competitive behavior, in a functioning WTO with teeth it would be winnable dispute.

For anyone thinking it it is unfair comparison or whataboutism or the censorship is not problematic, the amount of questions any of the major American models will not respond should tell you otherwise
Offline web apps are better but still not great because unless their dev has gone out of their way to wrap it in Electron, they don’t come in nice self-contained units like native apps do… for instance, if you’re upgrading your computer and want to copy over a previously installed but now defunct offline PWA, where do you go looking? The wrapper binary built by your browser doesn’t actually contain it, all the inner workings are squirreled away in some obscure directory with an inscrutable name.

Websites can give more control but that’s hardly a rule these days and depends on how the site/webapp in question was built. Something built with a canvas-based UI (as is sometimes necessary for displaying high volumes of information without performance degradation) for example isn’t going to give the user any better control than a native app would, and in some cases less.
Needs to also be for "that's easy"...
> And the weird thing is it didn't use to be nearly this bad even a decade ago, and we can only guess how bad it will get in a decade, AGI or not.

The last 5 years have reflected a substantial decline in QOL in the states; you don't even have to to look back that far.

The coronacircus money-printing really accelerated the decline.
If the investors ask, those same AI engineers will probably allow the answer to be much more ambiguous.
In what practical way does it affect you? What kind of domain area are you using the llms?
I wonder what the author of this post thinks of human generated slop.

For example if someone just takes random information about a topic, organizes it in chronological order and adds empty opinions and preferences to it and does that for years on end - what do you call that?
There are still some things I like better about FFOS than iOS / Android. It had a lot of polish needed even near the end, but some of the foundational bits were very solid.
> Think of like CISC vs RISC processors, on one hand we have experienced developers creating really good software while on the other hand we have inexperienced developers using AI creating mostly shitty code.

I'm not sure I get your analogy here, unless one set of options should be reversed i.e. CISC has been hanging on for the last 30 years only because of all the shitty non-portable code written for it, and layer upon layer of hardware hacks.
In one regard I understand. In another regard, doesn't hacker news run on one core?

So if you optimize it should be negligible to notice.
Quite long takes as well. Skillfully acted
I think each of the ideas listed: dsls, control loops, being clever, etc. They all have their place, and I wouldn't say they never work. I've had each of these work well in specific situations.

But the OP does have a point, they each can introduce more trouble then they're worth. Were I to write this post, I would have titled it something more like "Systems Ideas Yo Really Should Think About Long And Hard Before Doing."

But yeah, that might not be enough warning.
Very true, yes. 4G connectivity is the main reason for me to upgrade. My Poco F1 doesn't support the main 4G frequency used in Australia. So connection and bandwidth is pretty crappy since 3G got sunset.

Unfortunately the intersection of phones with headphone plug, SD card slot, decent RAM and hardware, not being huge, and supporting lineageos is pretty much nonexistent nowadays.
The only thing they measured was travel time. For me, convenience and comfort also count, and are worth a little extra time.
GPT4 is a 13 year old technology? Compared to o1 and Sonnet 3.5?

If someone told me an iPhone 4 is terrible but an iPhone 5 would definitely serve my needs, then when I get an iPhone 5 they say the same of the 6 you really want me to believe them a second time? Then a third time? Then a 4th? In the mean time my time and money is wasted?
I think this shows more of bias of market analysis(text) rather than anything. The reasoning will mostly align with analysis.

And also pure randomness of picking the one trade from list of trades
Unified Embeddings
The Story Behind Netflix's Secret Category Codes
I'm finding it hard to understand your point or not finding that argument particularly convincing. We can socially change much faster than we can biologically evolve. Meaning, the change in birth age can be heavily influenced by social factors (birth control, resource abundance, requirements for self-sustainment in adulthood) much faster than biology would adapt. We can be extremely socially different than those who lived when it was the norm to be pregnant at 14 while being essentially biologically identical.

Further, we can have multi-modal distributions that undermine the biological assumption. Some groups show much lower birth ages because it's not culturally disadvantageous than other groups. In that context, even if the average age increases, it doesn't mean lower birth age is biologically disadvantageous.

>humans we punish kids for being playful when they reach 7

This needs a citation or at least a definition of what is meant by "playfulness", because I find it hard to believe. I don't know any parents who would want their child to stop playing at 7 years old.
Look, when are these models going to not just talk to me, but do stuff for me? If they're so clever, why can't I tell one to buy chocolates and send them to my wife? Meanwhile, they can allegedly solve frontier maths problems. What's the holdup to models that go online and perform simple tasks?
For reference, I’ve been successfully finding jobs quickly since 1996, I’m on my tenth job and I have every resume I’ve used since 2008 (leaving my second job).

I’m very qualified in my niche:

https://news.ycombinator.com/item?id=42559488

I did use ChatGPT rewrite parts of my resume this time to be more inline with the job I applied for. It didn’t make a difference since I replied to a recruiter who reached out to me based on my LinkedIn profile.

But how is it “dishonest” if I didn’t lie about my qualifications? I didn’t just take the ChatGPT output and copy and paste it. I did reword it slightly to sound like me.
Timeline of AI models released in 2024
Holy false-equivalency, Batman! The definitions of "useless toy / lifechanging tool" are _not_ changing over time (or, at least, not over the timescale being explored here), whereas the expectations and requirements of processing power of a phone are.
Well, for now, I still have former co-workers there who can help, but that won’t last forever.
Yeah, and I was live migrating entire VMs between hosts on a Xen cluster 10-15 years ago. It was easy for me to get working, reliable, and I was far from an expert.
Does it matter? Without it, there would be no money from Google.

You're moving the goalpost rather substantially. "It makes no money" and "it costs millions to maintain" -> it pulls in hundreds of millions per year, the majority of their income. They can afford to focus on it.
Or, 30% of the society could build up distrust in tech, AI, and scraping on the Internet, and quietly start sabotaging flow of data and/or cash. They're not going to disclose decision criteria that implement that behavior, even when imprinting it to people around.

I think such "immune response" of human society will be more realistic modeling of the storm blowing. The Leviathan won't listen to few of scales screaming data abuse is technically legal or whatever, if it deem that unreasonable.
Finally, an actual use for my decades of photos...
QA are going to be told to use AI too

(Seems every job is fair game according to CTOs. Well, except theirs)
The Fledge – Building a DAO [video]
Even putting it here is annoying to me... Those are a lot of words saying nothing that I just spend time reading.

I'm agreeing with you.
As Covid lab leak suspicion lingers, WHO urges China to share virus origin data
When I started my career in 2010, google was a semi-serious skill. All of the little things that we know how to do now such as ignoring certain sites, lingering on others, and iteratively refining our search queries were not universally known at the time. Experienced engineers often relied on encyclopedic knowledge of their environment or by "reading the manual".

In my experience, LLM tools are the same, you ask for something basic initially and then iteratively refine the query either via dialog or a new prompt until you get what you are looking for or hit the end of the LLM's capability. Knowing when you've reached the latter is critically important.
> almost no one cares about distributing the GPL code of the BSP, mainly due to fear of violating chipset vendor NDAs

Most problem of BSP programming is it is really complicated, because need to fit within limits of hardware and need to have deep knowledge of DSP environment.

So it is very interest question, who will do complicated things for free, or who will dive deep for free.

Unfortunately, too many people compare apples with carrots, in this case compare definitively shallow frontend/full-stack programming vs hardcore embedded.

And returning to question, in real life, nobody want to rewrite all core code for BSP, but really use huge chunks of ready made code, provided by vendor, so, sure they have very tight coupling to vendor copyrights.

Sometimes, things are even worse with hardware limitations, which just made impossible to write other way than does vendor.

Other problem, regulations - using vendor code you automatically obey laws, or to be honest, you shift responsibility to vendor, but if write your own code from scratch, will need someway create proof that people could trust to your code.
The last mile problem remains undefeated.
48298346,1,3,2,3,1,2,3 doesn't really masquerade as cleartext.

you could hide that as text in other text, and that'd be steganography.
I am totally going to advocate for this at my workplace. I myself am guilty of it - not saying "just", but questioning people's estimates based on my limited understanding of the research they had to do to come up with the estimates in the first place.
He’s 20, right?
Or… you could enable dark mode for real in Settings -> Display & Brightness -> Appearance, and use reader mode for websites that don’t respect it.
Hey, can you try again? I ran into an API limit that should be resolved now
Uber is almost the canonical example of something that should be an app! I need to do a frequent task, I punch up the app, I'm always logged in with my location pinpointed, I get a little live-updating widget on my phone with my ride location, plus notifications and Apple Pay and so on. When my ride's over I'm done with the app. Much more useful than say the "Hilton Honors" or "Ann Arbor News" apps which are literally website wrappers that I use once a year.