skysight-inc/HackerNews huggingface dataset:
They are behind commercially, very behind.

They also don't have the same economic setup and DNA as MS/OpenAI. Large corporate customers don't pay for access to the FB cloud, nor are they likely to -- Ellison has spent years building out Oracle Cloud, and he's on the FB board, for example. And I bet you didn't think of using Oracle's Cloud for your last project.

So, your company DNA is free-to-all social based on ad monetization, with a large bet on metaverse / AR / experiential social compute being next. You aren't a trusted corporate partner for anything but gatekeeping your immense community through ad sales.

And, it's clear you a) have some of the most interesting private social data in the world, including photos and DMs and texts, and b) this AI thing is huge.

A play that doesn't f with your existing corporate structure too much is to build this stuff, give it away, keep publishing, build your AI team internally, and see where it takes you.

This isn't the only play, but I think it's reasonable. It's pretty clear large enterprises are going to need their own, internally built / owned, Foundation models to be competitive in a bunch of arenas in the next decade. In this case, if FB can get a little mindshare, keep the conversation going, and as a sidenote, be a disruptor by lowering Azure/OpenAI revs with open releases at-the-edge, that's probably a strategy win.

If I were in charge of AI strategy at FB, I'd probably double down more on generative AI, and I'd be working hard on realtime multimodal stuff -- their recent very large multimodal speech to text in multiple languages work is good. If a team could eyeball realtime-ish video chat with translations, that would be something the platform has a natural advantage in pushing out. Generative hits existing customers, and metaverse asset creation, which is going to experience radical changes in costs and productivity over the next few years, and impact Oculus 100% no matter what anybody wishes were true.
Ultimately this should come down on wether harm is made or if the societal impact is not accepted.

To take your example, explaining face to face to the person how you imagined them when masturbating could bring punishment depending on how they take it or if it impacts them in problematic ways.
I meant silo. Its not an echo chamber that they can disconnect from its a purposefully built online collection of thoughts and principles that they guard and collect to the point that its the driving force of their life.
I find those things kinda interesting because I am a fan of anime fan art and the skills of the people drawing it vary a lot. I wasn't very picky when I first got into it but over time I see the difference between professional art (say Tsunako's work) and most of the people who draw fan art (except for the few who are also professional or on the path to becoming professional such as Wisespeak... Oddly this interest and some other developments got me interested in art history and criticism in general.)

My understanding is that those diffusion models mostly work on a local basis, particularly they don't have a global understanding of how a body exists in 3-dimensional space, human anatomy, etc. (The kind of things an artist has to learn to draw good figure art) Somehow they still do a very good job of maintaining symmetries such as: left and right limbs having the same length, left and right eyes having the same color, etc. I do seem them get in trouble though in other unusual cases: for instance if somebody's arm goes behind their leg the system might not keep track of the length of the obscured part so the global length of the arm ends up wrong.

My take is that "four limbs" is really unusual, maybe it happens 1/1000 of the time, whereas in one run of images "two belly buttons" was happening around 10% of the time. Oddly I found there really is a woman with two belly buttons

https://www.ladbible.com/entertainment/woman-two-belly-butto...
Very cool! is this mostly for unstructured data search? Any interest in adding tabular / structured data NL search?
The frame of reference is us, now. And "slow" means the maximum speed of a photon was slower back then. The "back then" that we are now just observing from our frame of reference. At least, that's my takeaway.
Right click, open in new tab? I’m surprised if most people don’t know this
3D models are a lot more complicated.

You need to generate models, materials and textures separately. Need to split the model in separate parts that make sense. Need to know where to use spline meshes, where to use instancing, how to group meshes and so on.

Also which format to pick? Gltf is a good choice, I guess. But it's pretty limited compared to formats like .blend or .max.

One of my favourite examples is a clockwork mechanism. Current 2D AIs always generate complete nonsense, because they have no idea how a clockwork mechanism works.

A much more advanced model is required for something like that and it currently doesn't exist.

A model like that is the bare minimum for 3D.
The biggest problem is that map, filter make copies of the structure. That's an allocation, that means GC calls.

You can make a similar function that changes the data in place and will be faster. But that comes with side effects which is not functional style.
Huh? Do you perhaps mean standard Llama?
Hasn't this already been settled after Tesla's claim?
It looks like a cool research project. But realistically I would be surprised if it could beat OpenJDK in any benchmark (though I don't think that's the purpose of the project).

Writing something which is compatible with a specification is one thing, making it performant is another thing. For example it's not that hard to create a webserver from scratch but making it performant takes quite some effort.
Exactly. The Google and OpenAI engineers who published their groundbreaking research 5 years ago are now rockstars. Those who create great research but can't share it often get frustrated.
You can also use pgvector with langchain to create a weird version of search if so inclined.
Need more data.

- Complex generalization with a simple unstated justification: last 'paper' like this was ToT, and a tree is a graph with constraints.

- Framework is discussed cognitively, units of "thoughts" "scored". (AutoGPT redux, having the LLM eat its own output repetitively improves things but isn't a panacea)

- Only sorting demonstrated "due to space constraints" -- unclear what that means, it seems much more likely it was self-enforced time constraints

- Error rate is consistently 14%.

- ~10x the cost for ~15% error rate in sorting instead of ~30%

- GPT3.5
A study of research on the psychology of expertise in weather forecasting
Show HN: Chronos 12.0: Enhancing Monitoring with Grafana, Kubernetes, and More
Hey Hacker News Community!

I wanted to share with you the latest release of Chronos 12.0, a powerful monitoring tool that's been upgraded to bring you even more features and capabilities. If you're into containerization or Kubernetes, this is something you won't want to miss.

What's New in Chronos 12.0:

* Grafana Charting and Visualizer: With the newly upgraded Grafana-based charting system, you can effortlessly visualize and compare diverse health metrics using various types of graphs. This includes Kubernetes environments and Docker containers, expanding the versatility of Chronos 12.0 as a monitoring tool.

* Enhanced Prometheus and cAdvisor Integration: Our Prometheus and cAdvisor integration now covers nearly 50% more data points, including CPU, memory, and user interactions. This data aggregation brings enhanced accuracy and depth to docker health reports.

* Immersive 3D Visualization for Kubernetes: Chronos 12.0 introduces an innovative 3D visualization that vividly portrays the Kubernetes cluster infrastructure. This visualization offers an intuitive depiction of interconnected relationships between core Kubernetes resources.

* Increased Testing Coverage: Chronos 12.0 places a strong emphasis on testing, including unit tests, routing tests, and connection tests. This extensive testing regimen instills confidence in the reliability of Chronos 12.0, accurately diagnosing configuration issues.

* Selenium-based End-to-End Testing: In addition to Jest unit and routing tests, Chronos 12.0 now includes Selenium-based end-to-end testing, enhancing testing capabilities for a more robust product.

* Integrated CI/CD: Chronos 12.0 has taken a step towards Continuous Integration & Continuous Deployment (CI/CD) with automated GitHub Actions. This includes running testing suites and automatically updating dependencies for a smoother development process.

* Improved Documentation: Our READMEs for configuring and operating Kubernetes and Docker Container examples have been extensively updated. Chronos 12.0 aims to provide step-by-step guidance through installations and operations, making it easier for developers to get started.

How Can You Use Chronos?

Implementing Chronos monitoring in your application is easy. Just check out our NPM package and follow the instructions in the README.

Learn More:

Chronos is an open-source project developed under the tech accelerator Open Source Labs. For more information, feel free to visit our website or check out the official Chronos GitHub page.

We're excited about this release and would love to hear your thoughts and feedback. Let's enhance monitoring together with Chronos 12.0!
Comparing Dbt and the Alternatives
> Cabinet designers are being replaced by Ikea flat pack artists in the software world

That analogy doesn't really work if the new projects "cost 20x more" upfront, unless you mean long-term associated costs.
Someone "grafted" llama 33B onto llama v2 13B to make "llama 22B"

https://huggingface.co/chargoddard/llama2-22b

Theoretically this is an even better size, as it would fit on a 20GB-24GB GPU with more relaxed quantization and much longer context.

Metrics are slightly below 13B, but the theory is that the higher parameter count is more amenable to finetuning. If you search for 22B on huggingface, you can see that frankenllama experiments are ongoing:

https://huggingface.co/models?sort=modified&search=22b
The highlight IMO

> The Code Llama models provide stable generations with up to 100,000 tokens of context. All models are trained on sequences of 16,000 tokens and show improvements on inputs with up to 100,000 tokens.

Edit: Reading the paper, key retrieval accuracy really deteriorates after 16k tokens, so it remains to be seen how useful the 100k context is.
Zuckerberg talked about it on Lex Fridman podcast https://youtu.be/Ff4fRgnuFgQ?t=1113
to those who flagged my "do you even crypto bro?" comment:

even a little research into cryptography will inform you that prime numbers are used heavily in encryption algorithms.

https://stackoverflow.com/questions/439870/why-are-primes-im...
Do you mean that SQL will significantly fade away?
Scala 3 was a massive step forward.

Though for whatever reason it seems that its popularity is declining. [1]

[1] https://twitter.com/jdegoes/status/1656566825356754945
> The only thing I can see people worry about is someone putting a real person's face on a porn image. But deepfakes are also around for years and we don't really care or affected that much. Why bother with what people do behind closed doors? As long as they don't harm anyone, what they do in private is their own business.

The problem is when it doesn't stay behind closed doors, but instead when this is used to harass the person being depicted. Non-consensual distribution of porn is a big deal because there is a lot of evidence of its harms, including a very large fraction of people with suicide ideation.
I love Huggingface. I worry they will be the next Docker.

What is the moat? "We will run your inference" can't be the answer.
Every time a new model hits I'm waiting for his ggmls
Sure, that's true. My comment is expanding on your claim that you accept gravity as a simple force in contrast to the mystery of creepy spacetime concepts of the universe. You accept gravity which is the same force as time dilation. It sounds like if I change the name it's less creepy for you.
Google, Amazon, Nvidia invest in AI startup Hugging Face at a $4.5B valuation
What are other use cases that could be made only by LLM ?

Number sorting is faster using code.
JVM debugging+monitoring is leagues better
This is great. I plan on providing Postgres trigger templates that developers can easily load on Rocketgraph.
The more I read about ML, the more I begin to believe that - psychologically speaking - hierarchy (esp. graph structures, trees) are absolutely core to advanced information processing in general.
Same with anxiety
Yes, for years I would carry around an index card or a small notebook. I would jot down significant thoughts or events in bullet point format. Later, I would write out longform a blog post about the ideas and events of the week, trying to weave it together into a coherent essay. Having something light on me at all times was critical to capture ideas. Letting them marinate for a while was typically a good thing, since I could continue thinking through the angles and making horizontal connections to other things going on in my life.
I would tell them them I'm not interested in the position and just continue with my job hunt as I would have if I never spoke with them.
Tesla doesn’t have autonomous vehicles. It has level 2 vehicles. Waymo and cruise have level 4 vehicles.
Implicit subsidies, which represent the “enormous” costs of the damage caused by fossil fuels through climate change and air pollution, made up 80% of the total.

makes it a little clickbait-y.
Show HN: Ask Soph about a dead philosopher
First are scare quotes, second is from https://en.wikipedia.org/wiki/20th_century_women%27s_fitness..., the title of a 1967 article.
I presume there would be a huge gap depending on if you sell it on a marketplace or not.
Surprisingly, the body does not signal a low-oxygen state, and the urge to breathe is stimulated by a rising carbon dioxide level. This works fine for healthy individuals in the environment we have evolved to live in, but it makes hypoxia an insidious killer in an environment where the oxygen partial pressure is substantially less than it normally is, as the victim does not notice that anything is amiss.
> To see how their system performed in these situations, NoDar conducted a series of tests on a remote airstrip in Maine with almost zero light pollution.

Isn't this the opposite of realistic?

> In broad daylight, NoDar’s setup generated 40 million 3D data points per second compared to the lidar’s 600,000. In extremely heavy rain the number of valid data points dropped by only around 30 percent, while for lidar the drop was roughly 60 percent. And in fog with visibility of roughly 45 meters they found that 70 percent of their distance measurements were still accurate, compared to just 20 percent for lidar.

These results sound very cherry picked.
Says the guy clicking on AI-porn articles
Postgres is one of the most amazing inventions that exit truly.
Face and possibly other body features are already enough for personal identification. I mean if a nude with Emma Watson's face is generated then adding Emma Watson's name to make the connection is already redundant. Anybody can recognize her face.
https://github.com/facebookresearch/codellama
>What is the moat? "We will run your inference" can't be the answer.

Network effect. It's more like a GitHub for ML.

Also trust. When your business is hosting binaries, that's no small feat.
The Peabody mission is written to require teamwork, and in Realm 01 (which you were evidently using) it is populated by a vicious set of RedTeam "Replay Blokes" that fly as coordinated squadrons to ensure that it is very difficult to prevail on the BlueTeam. If you want to see what victory looks like, I suggest you just switch to the RedTeam.

It is POSSIBLE to prevail while flying solo for the BlueTeam. I've done it myself, but only after weeks of practice and my victorious session required more than two hours of white-nuckle, sweaty-palmed intensity. I was flying a P38 at the time (my favorite).

If you switch to one of the other Realms you won't run into Replay Blokes. In that case it's easier to prevail in the Peabody mission, but you'll still need to keep the pressure on in order to damage/destroy both enemy airbases faster than their ground crews can repair them.

A couple of months ago we had a goodly group flying one Thursday evening and we all decided to join Peabody's BlueTeam to battle the Realm 01 RedBlokes as a team. We were able to win in about 45 minutes. I think there's a video showing that session. Just a minute and I'll try to find it....

https://youtu.be/BRNZ09eyTPg?si=PfMhaKIRoe20SZQ1

I couldn't find the exact clip I wanted, but that one shows what it's like to fly Peabody's mission with a wingman. We inflicted a lot of damage that time!
It's support for \Lambda-CDM, which is the standard model of cosmology. The standard model of particle physics is only involved to the extent that it explains spectral emission and absorption lines in the first place; locally the physics of electromagnetism vs hydrogen ions (among others) works the same over-there-back-then and here-and-now.

Sorry that there's two "standard model"s. One often hears "concordance model" or "standard cosmology" or \Lambda-CDM instead, as a result.

This study's novelty is in showing that [a] the changing luminosities of both families of variable quasar can be usefully compared and [b] similar variable quasars have similar luminosity-changing rates at similar redshift; if the redshifts differ, the less-redshifted one's brightness changes more frequently and more quickly.
Ditto. His Udacity course opened me up to how expressive, yet understandable, code can be with some careful thought. Lots of wow moments comparing my solutions to his.
> $40k aliexpress factories in a box

Sorry if this sounds stupid, but... what is that? One of those premade semiautomated drop shipping stores... or do you actually mean a factory?
Excited! I hope your talks are just as informative as this comment. Keep rocking!
If you just want to add logging to existing operations, reinterpret them at the call site. Something like this

newtype LoggedStateT s m a = LoggedStateT (WriterT s (StateT s m) a)

instance (Monoid s, Monad m) => MonadState s (LoggedStateT s m) where
get = LoggedStateT $ do
val <- lift get
tell val
return val
put s = LoggedStateT $ tell s >> lift (put s)

(which is basically an ad hoc effect system)

If on the other hand you want to reproduce the behavior of other languages, throw everything in `MyAppMonad` give it whatever capabilities you need.
Does `cross build` not work for your use cases?
There's something bizarre going on with lidar manufacturing/pricing. When I was looking into it for a specific application it was much cheaper to buy entire made-in-china products containing the exact lidar module than it is to buy the part separately, even at bulk pricing.
Really glad to see this getting traction outside of our lil bubble here.

I've tried twice to go without a smartphone in the last year or so (once due to stolen-phone-necessity, the other just a social experiment) and it was a GIANT PITA each time.

Even just a Saturday night downtown... parking, restaurant, show ticket... each part more or less NOT doable without a smartphone
Just sign up at meta and you'll get an email link in like 5 minutes
Initially I was very confused; why would a socialist magazine have an article about the JVM?
Tech companies face a reckoning in Europe as new rules come into force
Question: Can we use this to liberate people with... different... tastes, Like pedophiles and gore? Give them something to look at without harming real people?
Did Meta add scalable rope to the official implementation?
Oh if there was anything to learn from the catastrophe of Prenda Law there is one very big sword of Damocles here:

The number of fake accounts using copyright images of adult models and film stars is enough to probably give Thiel & Bodella’s lawyer a stroke of happiness.

I find it a weird wrinkle in safe harbor because we all know damn well they can photo check a database via super duper AI and not let those users join or stay on…

Short sale anyone?
I don't think anyone would say you should be prevented from drawing whatever you want in a sketchbook. But if I started distributing a magic sketchbook that drew one particular person in lewd poses, even though those images don't exist yet when the sketchbook is distributed I could see a strong argument that what I'm doing is essentially harassment and defamation. The US doesn't have federal protection of image rights (that I know of, anyway) but depending on the state it may be illegal to use someone's likeness in this way.

I do think that there's an argument here that could be brought before a court and potentially won that even if individual lewd images are free speech, creating and distributing a machine that produces those images can cause real material harm to the person whose likeness is used in the imagery.
Companies wanted to say they have "work / life balance"; rather than change their practices, they expanded the definition of work / life balance.

By this definition, is there any company that doesn't have work / life balance? By this new definition you propose, does the term mean anything?

Is 996 a good work life balance because "it is what some people want"?
> That's where I think we should draw a line.

i think it has always been an offense to use someone's likeness fraudulently. But the issue has always been enforcement. Quite difficult to catch people responsible. An overly draconian net impairs freedom on the net, but a loose net means there will be many trolls like that.
It really needs to stop being socially acceptable for people to stop learning through life.

I’m fine with subsidizing devices for low income people, but this need to retain paper and pay tons extra for staff for the elderly who haven’t learned anything since they were 20 is ridiculous.
Yes, that's not a response to my comment.

No one who has been using any model for just the past 30 minutes would say that it has "pretty much replaced Google/SO" for them, unless they were being facetious.
It is not that much better in Java land. Getting builds right takes lots of resources, keeping new and old things running is not trivial.
There are also sheathing options that have the equivalent of house-wrap and sometimes even some insulation built into them, like the ZIP System.
I had a module on this in uni 10 years ago. Sad to see digital poverty still gets no thought.
It's not just failing the non-tech savvy.

What about those of us who are tech savvy enough to not want to install every random shitty untrustworthy company's software on our pocket computer just to pay for something, rent a bike, use an event ticket etc etc.
Literature never included the aspect of being public. In any case your colleagues read it, so it’s actually read by someone
This is fantastic. I’d love to see a system that uses an LLM to generate knowledge graphs from academic papers to make them machine readable.

Some kind of prompt like “does paper P contain idea A and does it suggest that A is true.” Then you could automatically categorise citations by whether they agree/disagree with the cited paper.

Sometimes I see papers with 2,000 citations and I wonder: how many of those are dis/agreeing with the paper.
Dane seems cool

But nobody supports it
I don't understand why compilers drop old Windows compatibility. It makes no sense to me. They emit executable code which looks the same on Windows XP or on Windows 11.
> That number isn’t how much the SPY went up

neither is the return from putting $1 across all of SPY