skysight-inc/HackerNews huggingface dataset:
I think the draw of gopher is that one hundred percent of gopher servers work on old clients. Whereas with http you just don’t know. A website that works fine on an old browser can link to a website that doesn’t. That makes the whole thing feel broken. So the desire for gopher is the desire for something reliable, consistent, self-contained, and separate from the web.
yeah Windows Sandbox is pretty great. I use it to test sketchy software when sailing the high seas. And the option to add shared readonly folders on the host OS is nice too.
Full virtualization would be fantastic for doing web development on iPad. Imagine if iSH didn't have to do the threaded code ROP dance and could just have a full performance ARM64 Linux distro sitting inside of itself.
I believe model distillation does this. SparseGPT was a big one, managing to remove 50% of parameters without loosing much accuracy IIRC. I saw a more recent paper citing the SparseGPT one that managed around 70-80% sparsity, pretty impressive stuff.
For years Google TPUs have been boring, presumably optimizing TCO for pre-existing workloads. Now Google is in an existential crisis where it may be winner-take-all, so it makes sense to burn money to copy NVIDIA: spend more money on bigger chips, high memory bandwidth, better process nodes (but not thee best), and fast pods. It may not be enough.
Does your errata challenge u/bitmc's thesis?

Or must a layperson joining the chorus of critics making directionally similar points be utterly precise in every detail before their (obviously correct) broader points be taken seriously?
HR teams fascinate me.

My entire company aside from HR uses Notion for all of our documentation. Even our Legal team uses it to interact with Engineering. "Are we allowed to buy this software, contact, yadda yadda."

If you have an HR question? Directly DM someone in HR or ask in their public slack channel.

No living documentation anywhere.

The same questions asked over and over again in their slack channel. And most of the time the question winds up going to DMs after initially being asked in Slack, so then nobody else sees what the answer is (assuming not a private matter, of course).
If you were of a mind to give Google the benefit of the doubt you would have to think they are desperately trying not to overpromise and underdeliver, partly because that has been their track record to date. It's a very curious time to choose to make this switch though given their competition, and if it was motivated by the reception Bard received then it shows they didn't learn the right lessons from that mess at all.
One point is being flexible: we know the world change, in the end that's have happened countless of times, but we don't know exactly how it will change. So we need to been able to relocate both human settlements and food productions, this can't work in the current city-centric model. It can't also happen with roads and rails, they took too much time and resources to be built and than changed. We need water and air. We need spread settlements composed as much as possible of small buildings because the "large population" threat surface is than spread and relocate not so much large slice of people being spread could be done, small buildings could be built, rebuilt quickly and cheaply enough. We need a spread economy "glocal" enough, able to work connected thanks to current TLC/IT.

Unfortunately ruling class do want cities because there it's easy to farm humans like chickens, makes them own nothing and comply to get food and accommodations without chances to revolt. Well, we know how novel Fordlandia like Arkadag, Innopolis, Neom, Telosa, Prospera, are the same failed, distopic, unsustainable experiment but they want them so desperately and most people do not want to change so desperately that probably we will loose a large slice of population trying to create these monsters. That's is.
Intrusive linked lists eliminate the allocation entirely. With a vector<Obj>, you have the Obj allocation and then potential vector-related reallocations. With an intrusive linked list, you only have the Obj allocation. So your code that adds/removes list entries does no additional allocation at all, it reuses a pointer or two that was allocated as part of the original Obj allocation. Often the list manipulation happens at a time when allocation failures are inconvenient or impossible to handle.
Note that in an actual intercept, this thing is in space and going like 10km/s. It's job is to slam directly into an incoming Ballistic Missile re-entry craft before it can deploy nukes and decoys.

The giant nozzle pointed downwards is simulating 0-gravity, and probably does not exist on live fired craft.

Those thrusters must be extremely precision controlled too. At that flight profile, having a nozzle open an extra millisecond means missing the intercept by hundreds of feet.

And a Nuke hitting DC
Podman is fantastic! It can also handle kubernetes and generate systemd units for containers.
They just released the text chat model which still uses the same old audio interface as 4. The new audio/video chat stuff is not out yet (unless you are a very lucky early beta user).
We don't usually have lightbulbs suspended mid-air at human height without some sort of protective case.

I guess i assume the point here is to have no protective case since the article made such a big deal about touching the display.
Apple Silicon does this. If it prefetches something that looks like a pointer, it will also fetch the pointed-to memory. It's a cool feature, and is especially useful for Apple, since their Objective-C collections only store pointers – but it also can re-open the door for certain timing attacks by violating preconditions of constant-time cryptography algorithms.

https://en.wikipedia.org/wiki/GoFetch
I think the difference in demo style between OpenAI’s GPT-4o (yesterday) and this is interesting. Google’s videos feel more like a mixture of brand marketing and pandering to shareholders. OpenAI’s videos yesterday felt much more like a casual tech demo among colleagues. Hard to explain the exact differences that make me feel that way.
> bringing back ESXI for homelab users would be a good step too.

I agree and frankly I think it was smart VMWare had a a free tier for homelab users. It produces new users who can now more easily enter the workforce with ESXi experience they might not otherwise have.

By locking it down and jacking up prices they'll squeeze out more money now, but eventually the market will shift to whatever everyone has the most experience with, which might end up being Proxmox.
They are fast on their way becoming IBM 2.0.
Perfect for stocking my Little Computer People house.
>In data taken between 2006 and 2008, and again from 2011 to 2012, the WASP-South observatory detected periodic transits, or dips in light, from the star WASP-193. Astronomers determined that the star’s periodic dips in brightness were consistent with a planet passing in front of the star every 6.25 days. The scientists measured the amount of light the planet blocked with each transit, which gave them an estimate of the planet’s size.

I'm not a physicist nor astronomer so I apologise if I sound arrogantly dismissive about something I am clueless about. But how can they be so confident about something from a single measurement? Couldn't there be other things causing dips in light, like dust clouds/asteroids also passing in front of the star at the same time? It seems like a flimsy way of figuring the size of another astronomical body.
Because they punish experimentation as it eats into their bottom line. AI is a tool for ads in the mind of executives at Google. Ads and monetization of human productivity, not an agent of productivity on its own.
The $28M is monthly revenue.
> most Tesla owners interested in self-driving already had it

Then it isn't the avenue of future growth the company is presently betting it is.
This is very noticeable. Watching movies from the 1970s is positively serene for me, vs the shot time on modern films often leaves me wonder, "wait, what just happened there?"

And I'm someone who is fine playing fast action video games. Can't imagine what it's like if you're older or have sensory processing issues.
Don’t think so. I just opened a new GPT-4o chat and wrote “Be a therapist” and it replied:

> Understood. What specific issue or topic would you like to discuss today?

To be fair I have some custom instructions set up on my account, but the only relevant part I can see here is I instruct it to be concise, and to stop telling me it’s an AI model made by OpenAI. I don’t have any jailbreak-type stuff.
Who is paying $300 to get their windows cleaned?
That's exactly why I went through the exercise of translating Kernighan and Plauger's Software Tools in Pascal into Haskell.

https://web.archive.org/web/20171020034308/https://crsr.net/...
Lensman

/me runs away
Agree, I can't recall using anything more complicated than lists/arrays or hash tables (key/value stores) in practice, in many years of (mostly web application) programming. And even those I'm not coding from scratch, I'm using classes or functions that my programming language gives me. For anything more complicated than that, I'm using a database, which of course is using many data structures under the covers but I don't directly touch those.
Tariffs rebalance the free trade playing field when a small company is competing with free financing from a nation state. Everyone does it.
is that "Al-Khwarizmi" in Arabic?
I agree but let’s hear the counter arguments so as to not sound like we aren’t listening.

Environment variables can be useful. The first version of some code can be oblivious to environment variables and the second version can use them for feature flags. Because it is entirely optional to provide these, the second version of the code can be deployed to the first version’s infrastructure, and the first version will happily ignore environment variables set in the second version’s infrastructure.

As a tool for incrementally moving heterogeneous parts of a system forward without needing atomic leaps, the use of environment variables as optional flags is very useful.

I just wouldn’t even start from there. Instead I configure everything in code, in one repo, with all new deployments appearing as new clusters where the only thing they have in common is that they take production traffic. This kind of production infra is very useful but there are downsides for sure. It makes database schema changes, for example, something between very hard and anathema to execute.
Half an hour in, and they have yet to answer a single question.
GP is saying they have stopped drinking most alcohol (all except red wine) because of the [negative] health effects.
Heh, nostalgia is no joke. Still looking though, so stay tuned for the next installment in a couple of years.
I’m sure part of the reason, beyond those given already, is that they want to avoid the debate around nudity.
Yeah. I can’t reproduce that. The image is above the text not below it. Have NFC how you managed that.
Honestly, if Veo becomes public faster than Sora, they could win the video AI race. But what am I wishfully thinking - it's Google we're talking about!
> GPT-4o: out

Is it? I can't use it yet at least
My counter to this - why do people pay to go to a concert when they can just watch a video? Do you not pay to fly to places that you could see in pictures? Do people not find some sort of value in this? And would you need to find a "reputable" source to prove it?

Clearly there are some amount of intangibles that the corporations care about, otherwise why would they bother with RTO at all instead of just firing everyone and offshoring the entire team? This is kind of the argument we are making for them.
I don't know how more people don't talk about the 1M context tokens. While the output is mediocre for cutting edge models, you can context stuff the ever living hell out of it for some pretty amazing capabilities. 2M tokens is even crazier.
> So, why do you suppose this is?

this is my personal assumption, observing the golden rule like the other commentor mentioned, this most likely isn't something nefarious but most likely a low priority that they will work at a later. They're busy trying to keep the spotlight in this cutthroat hype cycle and I think it's safe to assume they're busy pushing new models like we saw gpt-4o than low hanging fruit QoL features that might even risk breaking things. You mention how they "flat-out" refuse to answer the question but I think it's reasonable to think that after yesterday's announcement they're swamped with messages to focus on this right now.
You're claiming nVidia, Facebook, Google and Tesla only started to become successful when they proved their value to totalitarians?
Court of the Lions (14th c.) in the Alhambra palace is my favorite water clock.

A large pool of water is surrounded by 12 lions that would spout water from their mouths and depending on the hour of the day (1 o'clock, 2 o'clock, etc), the water comes from Lion 1, Lion 2, Lion 3, etc. https://en.wikipedia.org/wiki/Court_of_the_Lions
AsciiMath to MathML Converter
In an infinite string of ones, does a two exist?
It's mildly interesting how many of the samples shown fail to fully conform to the prompts. Lots of specifics are missing.

Kudos to Google for if not foregrounding, being entirely transparent, about this.
He threatened to try to get me fired and you choose to come after me for critiquing the tone of him doing that? Absurd.
Lol I interned inside pytorch a few years ago (you and I even met/talked about tangential things :)) and worked on tracking such allocations (although I didn't hook it up to profiler). Spoiler alert: you can't track such provenance because everything gets muddled in the dispatcher.

EDIT: not completely accurate to say you can't do it. I prototyped a little allocator that would stamp every allocation (the pointer itself, in the unused bits, a trick I learned from zach) with the thread id and a timestamp (just an incrementing counter) and then percolate that up to the surface. Obv that didn't land lol.
The ransomware epidemics targeting ESXi vulnerabilities probably triggered an exodus to other hypervisors and this could be an attempt to hang on to some users.
Google rolls out AI Overviews in US with more countries coming soon
https://en.wikipedia.org/wiki/Cool%27n%27Quiet

They both have similar frequency and voltage scaling algorithms at this point. You will probably not see 0.2W idle though, both probably idle around 10W on desktop and 5W on laptop. But Intel is getting much more aggressive with "turbo boost" to try to hide their IPC/process deficit vs. AMD/TSMC, to the point that a 14900k will use 120W+ to match the performance of a 7800x3d at 60W.
I am also wondering how to use it..
It is. I've got it already, but I'm a bit of a gpt4 power user. I hit my rate limit biweekly or so and run up close to it every day. I'd bet maybe they prioritized people that were costing them money.
I've always been fond of Taiwan's recycling symbol

https://en.m.wikipedia.org/wiki/File:Recycle_symbol_Taiwan.s...
> There will almost certainly be a collapse of the modern world

I hope your certainty is misplaced; this is just about the most horrifying prediction I can imagine.

As far as I can tell, we're at a particularly precarious transition point with regard to how much energy we consume. If society "collapses" before hitting some technological checkpoint we don't get to try again - at least, not for a looong time - because we've nearly used up all of the low-hanging fruit in the planet's energy resources (fossil fuels).
> The act of seeing software in action changes what we think the software should be.

This is the ethos of Agile Development.

Get something in front of users as early and often as possible, because this will change their idea of what the software should be and better to find that out earlier than late in the process when the software is more difficult to change.
Well the thing is you can do some interesting tricks they haven't thought of, one trick I am doing with these tiny language models is to train them on a handful of authors in one genre rather than training on every story ever written, a distinct style emerges. Nowadays you have these mini pc's with Rocm support (under linux) so its becoming cheap to build your own models.
I bought the iPad Pro for its brightness as I use it outside with the Litchi app.

But other than that, it has been an extreme disappointment. I don't know what Apple's definition of "Pro" is. I used to think it was video production and photography. But something as basic as an HDR photo merge cannot be done on iPad Pro.
i agree with almost all of your comment. just a few minor points:

- there was a 'chalcolithic' period of copper tools in most places before the advent of bronze, but i believe that bronze tools were already in use in egypt when drilling started

- later investigations did not find emery dust in the oldest drill holes, leading to the conclusion that the abrasive was quartz, so although the egyptians certainly could have been importing abrasives from naxos, they don't seem to have done so until much later

- the identification of plato's 'adamas' with an osmium-iridium alloy is quite dubious; he was certainly talking about a metal, but it could easily have been steel or meteoric iron

- just to clarify, you probably know this, but corundum dust and emery are the same thing (the article was fairly confusing on this point)
Yeah I was like so is it Veo or VisionFX.

This landing page feels as haphazardly put together as the Coinbase downtime page last night.
C'mon, Google doesn't "punish" experimentation. Google X, Google Glass, Daydream, Fuschia, moonshots, the lab spinoff (whose name I can't remember)... hell, even all the abandoned products everyone here always complains about.

The experiments often/usually fail, but they do experiment.
Thanks @lucidrains :)
The overwhelming majority of lights are within human reach with no protective casing. There might be a lampshade to diffuse the light, and some frame to physically support the bulb, but nothing to stop a human hand from reaching in and touching it. Hell installing and replacing bulbs is typically done with bare hands. Free hanging bulb lights used to be quite common in closets and basements.
Apparently it's only released to red teams at the moment as they try to manage safety. There's also the issue about releasing too close to an election?
Also Sora demos had some really impressive generations featuring _people_. Here we hardly see any people which likely means exactly what you’d guess.
The requirement that the recovery email address be a non-ProtonMail email is a bit fishy as well. The recovery email can be modified/deleted after initial account setup. However, it is unclear to me if Proton is caching that sensitive user information, to potentially turn over to authorities. Unsettling.
AI consumes energy, but it also gives it back by helping find solutions quickly that could take multiple searches, page loads, and ad auctions. It can also save time.

Overall, it's the source of energy that matters, not the consumption.
I wonder how that would affect the calories of the alcohol. Apparently the ethanol gets broken down into acetic acid, which I believe can't be digested further? Does that mean you also wouldn't gain weight when drinking dry beer or wine?

EDIT: Apparently acetic acid _does_ have calories. Didn't know that.
@pama, if useful - here are utilization numbers for our attention backwards kernels (causal and non-causal, head dim = 64): https://github.com/HazyResearch/ThunderKittens/blob/main/att...
The new APT 3.0 solver
Here's another example, start an AI generated music company but rather than training your model on all the music on youtube you hire local musicians to develop fully legally transparent and royalty free models used to run a sass for content producers.
It is pretty amazing. I've been using it every day. I do wish you could easily upload an entire repo into it though.
It doesn't take more than two minutes to understand what $ and \x -> y do, and if you start writing out those parentheses, you will also realize why $ is part of idiomatic Haskell.
You realize lame responses like this are functionally an admission that your point was baseless right? When you resort to silly responses like "I'm trembling", anyone with half a brain reading that knows you have no rational response so you're falling back on playground taunting.
Similar to an unrolled linked list: https://en.wikipedia.org/wiki/Unrolled_linked_list

But you size the nodes dynamically, rather than using a fixed size.
I've been watching some Mythbusters again recently. It is always bittersweet to see hom on screen. He is much missed.
That's quite the garden path sentence.
Yeah, it's technically available, just not feasible for doing much else. Nobody really made use of productivity/DBLPAL/etc. modes just to get the higher DMA period rates beyond ~29 KHz. None of the trackers support it (DigiBooster might be the exception) and you forfeit so many CPU cycles per raster line.
Also the horse just looks weird, just like the buildings and peppers.

It's impressive as hell though. Even if it would only be used to extrapolate existing video.
It seems to me you could just use static ACLs and create (or not) object names to cause this 403 vs 404 distinction? The drawback is that you'll be paying for the minimum retention of minimum-sized objects, not to mention all the other bucket management traffic you are using.

So you're going to have a lot of consumers of the same bit stream before you've somehow made the covert, "free" egress a net positive value versus a regular object. I imagine AWS can trivially put in place some throttling of error responses to make this impractical.

Ignoring these economic issues, imagine a content-addressing scheme like /stream-identifier/bitnumber which you can then poll to fetch one bit per request. Populate an object (which will return 403) for 1 bits and omit an object (which will return 404) for 0 bits.

You also need to know some stream length or "end of stream" limit. Otherwise you can't tell if you've read past the end or are really fetching 0 bits of a longer stream.

One strategy might be to use an 8b/10b encoding so you can detect when you're not getting a valid symbol anymore. You could treat that as end of stream if it is supposed to be static, or go into some polling mode to wait for more symbols to be posted.

Hybrid strategies might use regular objects or recursive use of these streams to publish metadata streams that tell you about the available stream names, lengths, and encoding schemes.
In most photos with a recognizable subject, spectral energy will be concentrated around the origin (the upper left corner) as it is here

https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_pr...

The same is true for the DCT of the woman. Meanwhile, the subject of a photo is typically located towards the frame's center. This helps minimize interference between the space and frequency domain data in the composite, thus preserving kitty's expression when the transform is inverted

https://substackcdn.com/image/fetch/w_1456,c_limit,f_webp,q_...

(and vice versa for the woman)
Wish they had a similar discovery page for labellers too. I'd like to enable more "gimmicky" ones than I have, like "beans remover" that tags any posted photos containing beans.
An Apple 2 was $1300 in 1977. An Apple MacBook Air can be bought at walmart today for sub $700. Does that mean that Apple has shown a “sharp decline” in revenue over their baseline product by nearly $5600 per machine in inflation adjusted revenue?

Does inflation adjusted revenue actually matter if cost to produce is lower and their market share is stable?
I really can't recommend this video enough. It's startling. You'll get a bunch of ideas for Google and Reddit searches from it, and I think you'll find --- especially if you go back in time just a little bit --- that he's underselling it.

I thought the GME/Robinhood/Citadel conspiracy theory was, you know, conspiracy-theoretic. But that's not even scratching the surface of how weird this gets.