skysight-inc/HackerNews huggingface dataset:
Videos of violent crimes that were filmed by the perpetrator of that crime should be illegal to distribute. Perjury is illegal. Judges limit what people can say about ongoing trials. There are all kinds of restrictions on speech. It's ok if this is one of them.
It’s definitely multimodal input. Passing Clip embeddings to an LLM is nothing new, and that’s really all you need for document understanding. It’s almost certainly the same thing for audio. They would have trained a dual encoder that maps both audio and text to a shared embedding space.

What’s not at all clear to me is if they’re doing something special for output. Are you saying OpenAI has moved beyond next token prediction and just hasn’t bothered to mention it?
I wonder if there are hints about "rentable units" in here. There are rumors that a future module can act as a single really wide core or two moderate cores.
pgrx is indeed wonderful and we would not be able to do our work without it. Big kudos to Eric, Jubilee and rest of team!
These sorts of comments are going to go in the annals with the hackernews people complaining about Dropbox when it first came out. This is so revolutionary. If you're not agog you're just missing the obvious.
Does this like the robodog come with a flamethrower option? My driveway often needs de-icing in winter
This is the schedule for upstreaming/"main-lining". Realistically, customers using these SoCs will be building on a forked linux BSP (Board Support Package) with all of these included.

To be fair, these might be server platforms and Chromebooks, nobody is buying ARM notebooks to run their favourite FEM package.
Thank you for that comment, as someone who has had exposure to the DOE as well (and LBL at that) I can only echo your sentiment. I'd even go further and state that is hard for me to believe that any innovation can happen in the calcified structures of governmental labs. Maybe the classified ones are different.

The "DOE made NVIDIA" myth is a story I haven't seen pushed outside the DOE complex. It is true that the supercomputers the DOE pushes could be considered industry subsidies, by providing industry companies with a steady customer with a very high tolerance for unfinished products. That applies to NVIDIA, AMD, Intel, HPE/Cray and IBM more or less equally.

I also want to stress what often gets overlooked: supercomputers are hell to operate and use. Aurora runs on Slingshot, a Cray interconnect. Those things look good on paper. Examples: Cray Aries (and "network quiesces") or Cray DataWarp. Who knows how Slingshot actually works in practice, for a hero run it only needs to hold things together for a few hours. As long as you get a high TOP500 ranking, a supercomputer is a success.

There is no market for those things anymore and they are beholden to the same economics as everything else, hence codes that can't afford an army of PostDocs to work around the bugs and design decisions that are only necessary due to scale of those systems are better suited to plain old mid-range clusters. And I haven't even mentioned the eccentric userland of supercomputers.

There are many reasons the DOE affords to run those behemoths. Some more trivial and petty than most people would like to believe. Like the author of the parent post, I have come to believe that the best bang for the buck on scientific output can be found elsewhere.
Finding Mona Lisa in the Game of Life (2020)
There is the Huawei Qingyun. It's about 500-600 USD on Taobao
Joan Rivers!
Pretty sure you just described Ace Combat 7 UAVs
That sounds like a limitation of Discord and Facebook.
I read the paper and there are some similarities between ZenDB and RAGFlow, but also many differences.

The goal of RAGFlow is to use computer vision models to recognize the structure of a document, including diagrams and tables, and then to slice these structures into appropriate formats, such as table information combined with table definitions into text, which is then sent to the RAG system to be used for retrieval and answering questions.

ZenDB also makes use of computer vision models to understand documents, but it is mainly used to understand the semantic structure of documents, such as headings, phrases, etc., which also involves semantic-based text clustering. ZenDB also defines a query language specifically for querying these semantics. ZenDB is pretty useful to query and summarize long text.

I think some combination of RAGFlow and ZenDB for processing unstructured document data could be interesting to work on.
When you grok the IO type ("monads") it stops feeling like jumping through hoops, and then it isn't any harder to write imperative code in it than in any normal, imperative language.

Or at least that was my experience.
What do you mean? How would you define AI?
How many of those are in California?
Over and over we've seen that pre-revenue publicly traded companies are a recipe for volatility and disappointment.
Yikes, I don't know about border detentions. The right to representation attaches (generally) at the start of criminal proceedings, pursuant to the 6th Amend. Is a border detention a criminal proceeding? Probably it's just some sort of administrative function and so your rights are certainly much slimmer at this point.
Am I using it wrong? I have the gpt plus subscription, and can select "gpt4o" from the model list on ChatGPT, but whichever example I try from the example list under "Explorations of capabilities" on `https://openai.com/index/hello-gpt-4o/`, my results are worse:

* "Poetic typography" sample: I paste the prompt, and get an image with the typical lack of coherent text, just mangled letters.

* "Visual Narratives: Robot Writer's Block" - Mangled letters also

* "Visual Narratives: Sally the mailwoman" - not following instructions about camera angle. Sally looks different in each subsequent photo.

* "Meeting Notes with multiple speakers" - I uploaded the exact same audio file and used input 'How many speakers in this audio and what happened?'. gpt4o went off about about audio sample rates, speaker diarization models, torchaudio, and how its execution environment is broken and can't proceed to do it.
And test before you leave!
link the chat?
Well what % do they own? It doesn't seem like you even know
I have the opposite impression from that demo.

It doesn't sound like a neutral, boring voice. It sounds like an overly dramatic person pretending to be a robot.
they haven’t released gpt-4o image capabilities yet, it defaults to dalle 3
NoSQL is way harder than SQL to get right if you're trying to write something performant - and you don't want to refactor everything down the line. I pick SQL because I'm lazy, not the other way round.

The only upside of NoSQL is performance. Almost everything else is harder and worse than SQL. Sure you can get your denormalised schema and never have to join anything to get all your data. But, you need to know all of your access patterns at design-time and when you need to refactor the data model in some way you're fucked and need to, I dunno, rewrite an entire table, sometimes on the fly while the system is running, which is like changing a tyre on a moving car.
This is an anti-human ideology as bad as the worst of communism.

Humanity only survives as much as it preserves human dignity, let's say. We've designed society to give rewards to people who produce things of value.

These companies take that value and giving nothing back to the creators.

Supporting this will lead to disaster for all but the few, and ultimately for the few themselves.

Paying for your (copyrighted) inputs is harmony.
This is alleged, and it is very likely that claimants like New York Times accidentally prompt injected their own material to show the violation (not understanding how LLMs really work), and clouded in the hope of a big pay day rather than actual justice/fairness etc...

Anyways, the laws are mature enough for everyone to work this out in court. Maybe it comes out that they have a legitimate concern, but the way they presented their evidence so far in public has seriously been lacking.
I made placeholder accounts on meta and other platforms and in my tagline I told people looking for me how to contact/find me.
The JSON serialization strategy worked really well for me in a similar context. It was kind of a shot in the dark but GPT is pretty awesome at using structured data as a prompt.
In Spain, it's like that. In Latin America, it was always "plátano," but in the last ten years, I've seen a new "global Latin American Spanish" emerging that uses "banana" for Cavendish, some Mexican slang, etc. I suspect it's because of YouTube and Twitch.
The case was about building residential in a residential area.

https://tile.loc.gov/storage-services/service/ll/usrep/usrep...
Snowflake is not in the list of supported stores on Apache OpenDAL, so likely not. It might not expose its storage APIs. I doubt users of Snowflake would want a separate query engine anyways
> We’re moving toward a world where every job will be modeled

After an OpenAI launch, I think it's important to take one's feelings about the future impact of the technology with a HUGE grain of salt. OpenAI are masters of hype. They have been generating hype for years now, yet the real-world impacts remain modest so far.

Do you remember when they teased GPT-2 as "too dangerous" for public access? I do. Yet we now have Llama 3 in the wild, which even at the smaller 8B size is about as powerful as the [edit: 6/13/23] GPT-4 release.

As someone pointed out elsewhere in the comments, a logistic curve looks exponential in the beginning, before it approaches saturation. Yet, logistic curves are more common, especially in ML. I think it's interesting that GPT-4o doesn't show much of an improvement in "reasoning" strength.
that would be the "we're too stupid" part
Linguistics Terms You Didn't Learn in School
my guess is -- the probabilistic engine does sequence variation and it just will not do anything else.. so a simple A->B sort of logic is elusive at a deep level; secondly the adaptive and very broad kinds of questions and behaviors it handles, also make it difficult to write logic that could correct defective answers to simple logic.
Is the fact that such robots haven’t hit the market until now due to there being no use for them in the past due to AI not being advanced enough, or only now are motors, sensors and battery tech able to power and run a humanoid effectively? Would building this have been physically infeasible in 2008?
It seems that there is a lot of hate for make, but the second I see a project switching to cmake I run for the hills.
LOL. I'm imagining the entire phone's photo gallery just stuffed full of the most horribly offense material, but nothing that is technically illegal.
Microsoft GitHub is fully proprietary & while Microsoft may or may not be pulling some strings, Git is independent. OP is asking if the free & paid software have the same owner.
Looks like Nano Nuclear Energy is already down 20%
As someone who works with a non profit who does this… don’t ask the city, they rarely care about thing’s like this. They will talk about support, but it’s talk. Most are too involved with crazy politics, campaigning, etc. Better to seek out other non-profits and community services to work with.
My understanding of PC game development at the time was that most games would re-implement their own drivers for system hardware, hence why you would often need to select what kind of graphics card, sound card, and their settings during the setup. As such, a game running from a boot disk is closer to just skipping DOS and having no OS rather than implementing a custom OS, although from another perspective you might just say that the game is the OS.
what a gift
Found it in a reel, I’m guessing it’s in the keynote: https://www.instagram.com/reel/C662vlHsGyx/

The Italian sounded good to me.
Yes, the economics of such a device are the interesting part.

The point where it all changes is when the humanoid robot can repair itself / make a copy of itself.

That's a physical compiler that can bootstrap itself.

That's a genie that lets you wish for more wishes.

What that does to the economy is anybody's guess.

When we'll make one and when the average joe will be able to get their hands on one are some interesting questions.

Once people know it's possible with off the shelf materials they'll soon seek to replicate it, so it can't remain controlled unless it's hidden, because they will succeed in that attempt to replicate it. Who wouldn't?

What would the average joe do with a humanoid robot that can do most domestic and industrial tasks as well as self replicate?
Why should we be excited about this?
Shared in a reply to my comment.
Herbert Simon -

"The criticism of practice (called "drill and kill") and the emphasis on sparking interest is very common. But all evidence, from the lab and studies of professionals, indicate that real competence comes with extensive practice. In denying the critical role of practice one is denying children the very thing they need to achieve real competence. The instructional task is not to "kill" motivation by demanding drill, but to find tasks that provide practice while at the same time sustaining interest"
Over $100k per door impact fees! Years of entitlement hearings! Years of wrangling for building permits! Any project is a decade and costs a large multiple of its materials.
> GPUs in AI provide far more value and utility than crypto ever has regardless of how/if it’s mined with them or not.

Two points:

1. GPUs for AI != GPUs for crypto. They are not the same systems. There is a tiny bit of overlap, but most people bought underpowered gpus that were focused on ROI. For example, you didn't need more than 8GB ram. You also didn't need ultrafast networking.

2. Value is subjective.
To be fair there is a disclaimer about the limits of metaphor, plus the article is really about protein folding, not natural language. Still, I'm curious as to which "underpinnings of actual human language" you think he's misunderstanding or misrepresenting?
If this happens in a market far away that the original product would have a hard time reaching, it does not really matter.

But if the original product grows enough to be able to reach far away markets, then it's lawyer and discovery money would grow too.

I applaud Keygen API approach, though I really hope we find a formula that makes free software become pervasive while providing financial stability to authors and maintainers.
You're right, ollama does perform the same on both models. Thanks.
> I would really like to learn how to apply the pseudo-3d or 2.5d methods that were used by Microprose in F-19 Stealth fighter.

F-15 is not pseudo-3d at all.

Flight simulators were early innovators in proper polygon based graphics. Partly because there were so few polygons they could get away with the painters algorithm. Partly because the instrument panel could cover a large chunk of the screen. But mostly because players of flight sims were willing to put up with very low frame rates, even 1 frame-per-second would be considered playable for certain types of flights.

Anyway, the tricks used for the 8 bit computers and consoles were nothing more than distilling down the graphical complexity until all they really had to draw was a tilting horizon line and then use a few sprites for everything else.

The one notable pseudo-3d technique I'll point out is the voxel based terrain used by "Comanche: Maximum Overkill". That's well documented.
Adding audio data as a token, in and of itself, would dramatically increase training size, cost, and time for very little benefit. Neural networks also generally tend to function less effectively with highly correlated inputs, which I can only assume is still an issue for LLMs. And adding combined audio training would introduce rather large scale correlations in the inputs.

I would wager like 100:1 that this is just introducing some TTS/STT layers. The video processing layer is probably also doing something similarly, by taking an extremely limited number of 'screenshots', carrying out typical image captioning using another layer, and then feeding that as an input. So the demo, to me, seems most likely to just be 3 separate 'plugins' operating in unison - text to speech, speech to text, and image to text.

The interjections are likely just the software being programmed to aggressively begin output following any lull after an input pattern. Note in basically all the videos, the speakers have to repeatedly cut off the LLM as it starts speaking in conversationally inappropriate locations. In the main video which is just an extremely superficial interaction, the speaker made sure to be constantly speaking when interacting, only pausing once to take a breath that I noticed. He also struggled with the timing of his own responses as the LLM still seems to be attached to its typical, and frequently inappropriate, rambling verbosity (though perhaps I'm not one to critique that).
Principles of Dependent Type Theory [pdf]
It's definitely a thing, but IME hosting a small instance, it's really not that bad. My advice for new admins would be to 1. find a small, decently up-to-date block list as a starting point (I can recommend FediNuke [0]), 2. check the #FediBlock hashtag (using any Mastodon UI or the RSS feed automatically generated) once a day or so for any warnings about bot attacks, or any other things you would like to be super proactive about, 3. promptly respond to the (likely very infrequent) reports you get from your users.

I could see why this might not scale as well to instances with thousands of users, or if a user is a frequent target of harassment (where opt-in federation might be the only solution), but for our lab, the existence of all the nazi or whatever instances has been resolved via a simple "Oh, these again. click, click, click There, the whole instance is banned." a few times a year. I have a suspicion that Dunbar's number or lower might be the optimal size for any federated social media instance, since knowing every user on my instance makes it a lot easier to tailor the little effort I have to put in.

[0] https://seirdy.one/posts/2023/05/02/fediverse-blocklists/
Going to law enforcement is the way to resolve this. The company can then disclose the identity of the owner to law enforcement.
This, everyone had to keep interrupting and talking over it to stop it from waffling on.
Do you know? It clearly isn't zero. And like I said, it's not the main point (it was literally a side point), and it is very hard to actually find an exact number, which should tell you something. If you find an exact number that's well backed, be sure to let us know.
Well the paper shows that looking for signatures of photovoltaics is an impractical strategy if not impossible.

The only other games in town, if we're talking huge amounts of power, and ignoring the speculative "beyond", are fission and chemical combustion. Unlike PVs these can be expected to alter the planet's atmosphere distinctively, and that is the thing we can actually observe during transit events, in contrast to panels (and dams, wind turbines, geothermal etc) down on the surface.

Apparently it's worth bothering just to remain inconspicuous. Aliens are clearly doing everything possible just to hide themselves from Earth.
Only missing the example drawings now. Is book artwork covered by a different license than book text? Or maybe it is just hard to digitize and integrate those images.
Totally agree with this. In their defense (not that I like it), obviously the market is willing to pay what they charge. It’s unfortunate that the other big cloud providers haven’t driven prices down that much.
This very same company used to sell real-time location data of your family: https://www.theverge.com/2021/12/9/22820381/tile-life360-loc...

Personally I wouldn't purchase anything connected to that network, even if they now say they stopped selling precise data.
Why do you think it's CGI? Looks real to me
> The thing that would really do the trick is overturning Euclid v. Ambler, and really only SCOTUS or Congress can do that.

Congress really can’t (the existing federal judiciary would be more likely to find any federal legislative attempt to limit local zoning a violation of the 10th Amendment than to give it effect); SCOTUS could, either directly or collaterally, but it seems unlikely (for one thing, to even make it to the merits you’d probably need someone who took ownership when the property wasn’t subject to zoning restrictions and where a claim wouldn’t be time-barred given the length of time since the zoning rule was enacted; its not 1922 anymore, and the problem isn’t new zoning.)

Congress could propose an amendment to overturn it – or to more directly limit zoning – but it would take a supermajority of states to sign on to give it effect, and if you had that, well, you’d probably have a supermajority of states limiting zoning without federal intervention, too.
Thank you for the examples. What is the alternative path and how should countries stay socialist? Are European countries not primarily socialist republics?
That's Kirin, not Snapdragon
> integrated company across four business lines: (i) cutting edge portable microreactor technology, (ii) nuclear fuel fabrication, (iii) nuclear fuel transportation and (iv) nuclear industry consulting services.

Why integrate four business lines? What's the point of this? This sounds counterintuitive. If I were even a 100% sole owner of four business lines I would rather separate them into four companies even if they began as one. What am I overlooking?
F22 Intercepter over here on the genesis. I recall the game over scene being a image of a skull on a ekg machine flat lining. Used to scare the crap out of me as a kid.
Went on to play a lot of F22 Lighting 2 / 3 by Novalogic. Then Delta Force Land Warrior.
I'm sure I'm going to get greyed for this reply, as well as for being a stickler for terms such as "vaccine" keeping their traditional meanings, but I may have an answer for you.

If you, like me, avoided the mRNA gene therapy injections, but still attend barbecues and other get-togethers, it's a good way of confirming that you were the recipient of spike proteins from one of the injected. Sunday before last (8 days ago), I was gifted Covid-19 a third time since Easter 2020 (took a test to be sure) from a bowl of spicy Fuego Takis at a barbecue, likely from licking my fingers clean of all the powder rather than washing them with soap and water.

The reason it was worth confirming that it was Covid was because of the irregular heartbeat I had during the first two days of the illness, and I wanted to make sure it wasn't something unrelated. Post-testing, I knew that 50mg daily zinc and vitamin C & D megadoses was all I needed for the rest of the week.
stagnant nominally. 30B in 2012 is ~41B today.

so a rather stark decline.
Or rather, I have an unending stream of callers with similar-sounding voices who all want to make chirpy persuasive arguments in favor of Mr Altman's interests.
In the future we will all become Baristas, we have had advanced coffee making machines for years but there are still Baristas working everywhere, that job is future safe.
Sort-of. IIRC DOS games that wanted to use more than 512KB(?) of memory had to use one of a series of particular high memory access drivers. HIGHMEM.SYS ("XMS"?), EMM386.SYS ("EMS"?), etc. You had to load these and other drivers (in particular sound and mouse drivers, antivirus programs, etc.) when booting up in your CONFIG.SYS and/or AUTOEXEC.BAT. These were referred to as 'TSR' (terminate and stay resident) programs. There were all sorts of tricks to get things working... LOADHIGH, etc. In the end, most games required one particular approach to high memory, and you had to have a CONFIG.SYS/AUTOEXEC.BAT that left enough base memory free as well. It was a huge hassle. In later days most programs used DOS4GW ... https://en.wikipedia.org/wiki/DOS/4G ... which made things a lot easier.
I installed Rockbox on iPod specifically to play Opus.