skysight-inc/HackerNews huggingface dataset:
Investors in Google should consider Google's financial performance as part of their decision. 41% increase YOY in net income doesn't seem to align with the "go woke or go broke" investment strategy.
That's a completely different use-case. SSH doesn't let me control the GUI on the remote

And no, X11 forwarding is not what I mean either
>Yeah but we're not talking about LLMs here but vision transformers

We ultimately are. Gemini is a multimodal model whose core function is an LLM. This doesn't mean that everything flows through the same pathway -- different modalities have different paths -- but eventually there is fusion through which a common representations appears. It's where the worlds combine. That parlance is often tokens, though it obviously depends upon the architecture and we simply don't have those details for Gemini (the paper is extremely superficial). The fact that it will ingest massive videos and then post-facto answer arbitrary queries on it is a good clue, however.

>This blog-post has the specific number

It's a great link and an enjoyable read, and while the ViT plays a critical role in virtually all image analysis pipelines, including in Gemini where it is a part of OCR, object detection, etc, the numbers you are referring to do not map to tokens.

E.g. the 768 dimensions are nothing more than the underlying image data for the tile. e.g. 16x16x3 channels. I'm unaware of any ViT resources that refers to those vectors (vectorized because that's the form GPUs like) as tokens. This system could lazily reuse it, but the way processing happens in ViTs would make that a completely irrational overlap of terms.

The role that a token plays in that description is the classifier -- basically the output that classifies each tile.

Ultimately the number of tokens that Google or OpenAI assign to processing an image or video is a billing artifact because tokens are the measure by which things are billed. However you can ask these systems for the tokens representing an image and it will be exactly what one would expect. Indeed, the brilliance of image (and thus video) analysis in these multimodal systems is not nearly as deep as first glances might assume, and often it can derive nothing more than the most obvious classifications. e.g. classifications made without knowing anything about what the user specifically wants. It is usually fantastic at things like OCR, which happens to be a very common need.

These systems obviously have different usage patterns. I can do simultaneous processing where the image and command work in concert, image analysis deep diving on specifically those elements that are wanted (but that would otherwise be ignored). Or I can do the classic feed a video or an image and then ask questions where the dominant model is to tokenize the video or images using the common flow (OCR, object detection, etc), create a token narrative, and then answer the question from the narrative.
Nokia brainwave turns cell towers into cash cows with backup batteries
The vast majority of images there are SD1.5, even the ones made today.

Which goes far more towards the idea that safety isn’t a desirable feature to a lot of AI users.
Hmm, when I try I see this in the dropdown:

0 Phind-70B uses left

And I've never made any selection there.
We've got about ~200-2000 years of rationality and ~200k-2m years of "outgroup bad"
Without JavaScript there is no text but only the footer. Quite weird.
In India eclipses were considered a bad omen until recent times and people would hide themselves indoors during eclipses. With education and progress it has improved considerably and such superstitions are dying fast.
It's not only about avoiding spoiling, but making some plants edible in the first place [1] or making them more digestible [2].

1: https://en.wikipedia.org/wiki/Cassava#Preparation

2: https://en.wikipedia.org/wiki/Nixtamalization
If you use Google Maps, it will automatically prompt you to download a map of the area if there is known poor coverage. It also has automatic (?) local maps.
interesting, i can't try Phind-70b. It says i have 0 uses of Phind-70b left.

Context: I used to be a Phind Pro subscriber, but I've not used Phind in probably two months.
This is a good project story.

Note that as in many high-throughput applications, non-gui solutions dominate, such as the 3270-like systems.

A securities firm in Chicago called "Security APL" used APL as their internal language. It appears that the code was made into a product and is in use today: https://www.waterstechnology.com/management-strategy/1607440...
It's always porn, or political extremism. Nobody opposes literal spams, but the definition of former two depends on cultural backgrounds and there will always be demonization around those.
Journalist Tim Burke Indicted for Leaking Tucker Carlson Clips
Hi chubot -- thanks for your response. I guess it's always a judgment call how much to "pull in" to the project -- whether you choose to live with janky workarounds about (for example) representing binary data in the shell, or whether you try to solve that at the same time. Oils is clearly pulling in a lot.

Good luck to you and the team!
I Need Some Hackers
But what if you apply the same level of optimization, same training regimen to the larger models?
Alternate interpretation of topic:

On the strictly theory side, changing c source code to fortran source code in an automated/direct 1:1 transform would involve using bnf/ebnf definition of c language and defining how that corresponds to the equivalent enbf/ebnf definition of fortran or parser combinator[3].

Fortran language bindings to be able to use C inside of a fortran program bit easier to manage.

BFNC can generate a compiler from bnf/ebnf definition.[1]

So, mess around with c as subset of python till get bnf/ebnf grammar that corresponds to bnf/enbf fortran. Convert the aforementioned C subset to fortran program into ebnf/bnf format. use bnfc[1][2] to create a compilter that will transform c source code into fortran source code.

----

compiling vs. transpiling: https://crystallize.com/answers/tech-dev/compiling-vs-transp...

[1] : https://bnfc.digitalgrammars.com/

[2] : https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&d...

[3] : https://en.wikipedia.org/wiki/Parser_combinator
I tried a question about Snobol4 and was impressed with what it said (it couldn't provide an exact example due to paucity of examples). When testing more mainstream languages I have found it very helpful.
Superstars or Black Holes: Are Tech Clusters Causing Stagnation?
It's no longer just about Twitter.

Meta yesterday integrated Threads with Facebook allowing you to cross post and almost every week they are deepening the integration with Instagram.

They are clearly trying to broaden the user base to include the other few billion who never signed up for Twitter.
I don't think most people care about Jesus's ethnicity, but it seems quite likely that without adjustment he would be rendered as quite white since a lot of imagery and art depict him as such. Or maybe the model would be smart enough to understand if the prompt was for a more historically accurate image or something like the archetype of Jesus.
Google cut a deal with Reddit for AI training data
The garage was a story of economic mobility for the middle class. It was never aimed at people in abject poverty. There were stories about going from troubled neighborhoods to college as well during the time when America still believed in class mobility.

The world of the 1800s was a world of hereditary title. There was never a promise of mobility and this is what made America and its legends different for all its failings. Going back to this world will not improve things for the better.
> Traffic worsened because drivers weren't able to optimize their routes, or even get directions to their destination

During Canada’s Rogers outage in 2022:

> In Toronto there was some dependency on Rogers. One quarter of all traffic signals relied on their cellular network for signal timing changes. The Rogers GSM network was also used to remotely monitor fire alarms and sprinklers in municipal buildings. Public parking payments and public bike services were also unavailable.

https://en.m.wikipedia.org/wiki/2022_Rogers_Communications_o...

As it was summer, I recall some park programming for kids had to be cancelled because the employees were required to have a phone capable of calling 9-1-1 (but sounds like that at least still worked here)
"... comes round for sale"?
If you go by online, popularity, yes, a lot of people do want to erase history in favor of feelings. That can be your opinion too.

> Broadly popular

Are they? Or are the loudest voices asymmetrically affecting discourse?

> This is not the work of a shadowy cabal

And how would you know if it was? What would the clues be? If you were in a bubble that was designed to impart an informal religious view (and it is a religion sometimes, just one with a screen instead of a book) that encompass politics and morality, how would you know?
Biggest turn down is the ceiling.
The inability to simply connect one computer to another has always bothered me. Apparently there's a mode in USB 4 which will allow this.
Did VScode became also more responsive?
Free Pascal and Lazarus seem really really great, and I wanted to really look into the ecosystem, but doing a bit of surface researched revealed some concerns that held me back from going any deeper

- Pascal seems like a mature language but looks like it's got its warts and being a language of the 80/90s may not offer the niceties of languages that came after it. One concrete criticism I came across was some inconsistencies in the language design meaning you want to be careful as some things work one way and others another way, and some things don't work as you expect (at the syntax/semantics level if I recall correctly).

- GTK support is still work in progress according to wiki pages I could find: mainly GTK3(??) and GTK4 which aren't 100% stable. If you want to use GTK2 that seems fully supported. Given the Linux GTK based distros are on GTK3 and moving to 4, seems less than ideal. I'm not sure if/how much the situation is better in the QT bindings.
> I'm especially curious to learn about the moderation layer in-depth.

You'll want to read:

* "Composable Moderation," this is the core conceptual idea: https://bsky.social/about/blog/4-13-2023-moderation

* "Moderation in a Public Commons," which describes specific features that were added in pursuit of the previously-described goal https://bsky.social/about/blog/6-23-2023-moderation-proposal...

* "Bluesky 2023 Moderation Report," which discusses specifically how (what is now) the main instance was moderated last year https://bsky.social/about/blog/01-16-2024-moderation-2023
I'm tempted to follow. Doomscrolling YouTube Shorts seems fun at the time, but wastes hours of my life. When I stop, I feel like I've lost control; regret.

Google want my eyeballs for 2 solid hours, but I wish they'd let users focus their viewing time with a few basic controls. I'd disable Shorts in a heartbeat.

What an I waiting for? There's still plenty of long format content I genuinely enjoy. Perhaps it's time for an alternative client.
Mmm, nice.

We were using something similar at $EX_EMPLOYER, but we needed explicit steps in our workflow to start and stop the runner. It was error prone.
The main question anyways is if Apple still hold the keys or is it still fake E2EE? Quantum computing is meaningless if a third party has all the keys.
We noticed that the training run crashed because one of the GPUs fell off the bus. Power cycling the host server didn't help and diagnostics showed thermal damage. We were able to swap in a different node, but apparently the entire host server needed to be replaced.

We've generally noticed a relatively high failure rate for H100 hardware and I'm not quite sure what is behind that.
I am beginning to go on a tirade against short-form and never-ending-video content/social media. TikTok, Insta/FB Reels, YouTube Shorts, etc.

This stuff is dangerous for a large percentage of individuals. And AI generated video content is only going to make it worse.

Imagine you're wearing your Apple Vision Pro or Meta Quest or future VR headset, watching a 180 degree "immersive" AI generated video. The eye tracking system notices your eyes fatigue slightly and it determines your attention is lacking. The algorithm instantly tweaks some settings and modifies the inputs to the AI video generation tool based on what it thinks (knows) will make you pay more attention, as it inserts subtle adverts here and there. AI video generation isn't free after all.

Five years ago this sounded like dystopian science fiction - but it's basically already possible with today's technology.
In the case of public ownership, I don't own it though. The entire public does. I'm willing to say "the people own" these telescopes, but that isn't what you originally said. You said "as an American, you own them" which isn't true.
I've truly never worked a job in my life where I would not be fired for sending a message to all my coworkers about how a particular group of employees are less likely to be as proficient at their work as I am due to some immutable biological trait(s) they possess, whether it be construction/pipefitting or software engineering. It's bad for business, productivity, and incredibly socially maladaptive behavior, let alone how clearly it calls into question his ability to fairly assess the performance of female employees working under him.
I found the importC feature interesting, I tried the example code (with running the hello world in C using the importC flag) and the compiler threw lots of warnings.

https://dlang.org/spec/importc.html#examples
One issue for me is that everything leads me back to YouTube. When I want to cook a meal, there was this great YouTube video with a recipe from a while back I need to rewatch. Do some crafting work? Gotta check these videos about woodworking first to make sure I know what I’m doing. Somehow the visual content can bring the right information and nuances that a cookbook or manual can’t. Especially with food, like when does it look done. A video is like the picture of a thousand words, but times a thousand frames.
You can run a 180B model like Falcon Q4 around 4-5tk/s, a 120B model like Goliath Q4 at around 6-10tk/s, and 70B Q4 around 8-12tk/s and smaller models much quicker, but it really depends on the context size, model architecture and other settings. A A100 or H100 is obviously going to be a lot faster but it costs significantly more taking its supporting requirements into account and can’t be run on a light, battery powered laptop etc…
umm, "Even negative reinforcement and beatings are a way that was a "learning style" at one point" is a teaching style, not a learning style.
An uncomfortable piece of fiction. AI will for sure shake things up.
I think everything you said was fair, but you also mentioned Twitter being a conservative cesspool, and a lot these features like federation and composable moderation are designed to help prevent the whole "rich guy buys the company and turns it into something you don't like" scenario.
Python expresses destructuring bind using:

x, y = foo, bar

It occasionally comes in handy. It certainly does suggest there's compatibility with VAR syntax.

Haskell's `do` notation also supports destructuring bind the Python way. It's even made into a special case of pattern matching. It also allows you to make declarations anywhere inside a block. This seems better than the Common Lisp approach.
These days support staff doesn't live with the family anymore. They often have contractors who never work anyplace else, but they don't live there. (at least not in the US, I don't know how NZ is different).

I don't know of a good distinction between house and mansion, other than I know it when I see it... Mansions are places where rich live - or at least those with enough means to appear rich (some of them are mortgaged to the hilt - but they have high income and can pay a large mortgage)
Welp, that’s unfortunate indeed.

P.S. Fantastic project (Matrix/Element)!
GPS on most cell phones uses data connection to download current satellite data in order to decrease the time from cold start to GPS lock. Lack of cell or WiFi can cause GPS to take 5-15 minutes to "search the sky" and download satellite data via low bitrate channel under poor signal conditions.

https://en.wikipedia.org/wiki/Assisted_GNSS

Edit: You can think of it as a CDN for the GPS almanac.
Is this a precursor to a Google acquisition? Can I get Google Assistant to tell me what's the latest post in a NSFW subreddit?
Is the AT protocol is superior in your opinion?
I have not had luck with codellama 70B models for coding, nor have I had it with the mistral leak.

If I were Phind, I'd be looking at Deepseek 33B instead. While obviously dumber for anything else, it feels much better at coding. Its just begging for a continued pretrain like that, and it will be significantly faster on 80GB cards.
Did YouTube just update it's UI?
Opened a video and, to my surprise, the layout is weird/different. The video information is to the right of the player.
Tried an incognito window to confirm that it wasn't just a random extension messing with it: No account, normal, "old" layout. Logged into my account, graced with this aberration.
Can't find news about it anywhere. What's going on?
Try in browser with Incognito mode?
The HN title makes no sense without the exclamation point that was in the original.
How do you know that copilot is using gpt4?

I pay for it and for chatGPT and I find copilot much worse.
As long as he has access to Uncle Ben's instant rice, he will have access to his medication.
In what way is an country growing at 5% gdp a country in decline?
If we had 5% gdp growth in Europe champagne bottles would be popping.

I regard US + EU + Canada + Aus + Japan + South Korea as the west about 1 billion people.
I'd suggest logging in in that case -- you will still get your free uses. The Phind-70B counter for non-logged in users has carried over from when we offered GPT-4 uses without a login. If you've already consumed those uses, you'll need to log in to use Phind-70B.
> Why is there not a greater focus on quantization to optimize model performance, given the evident need for more GPU resources?

There is an inherent trade off between model size and quality. Quantization reduces model size at the expense of quality. Sometimes it's a better way to do that than reducing the number of parameters, but it's still fundamentally the same trade off. You can't make the highest quality model use the smallest amount of memory. It's information theory, not sorcery.
Will this work for bare metal?

I use BSD, and all I see is a installer for Debian/Ubuntu.

No guide in sight for bare metal nor telling you what services/software are required.
Sports Illustrated is migrating Box Office to the Avalanche blockchain
Box Office is a blockchain-based ticketing service that individuals can use to set up paid or free events.
By cousin's girlfriend's sister said the same thing.
It looks terrible to me though, very basic rendering and as if it’s lower resolution then scaled up.
There’s similar jobs and companies in blue states too.
Does this run on 4090 16gb vram?

What's best that can run fast on 4090 laptop?
People aren't horses. Horses were just a tool, and we found a better one. The economy exists to serve us, not us the economy.
I've never understood the argument about image generators being (relatively) fast. Does that mean that if you could Photoshop 10 images per second, we should've started clamping down on Photoshop? What exact speed is the cutoff mark here? Given that Photoshop is updated every year and includes more and more tools that can accelerate your workflow (incl. AI-assisted ones), is there going be a point when it gets too fast?

I don't know much about the initial scandal, but I was under the impression that there was only a small number of those images, yet that didn't change the situation. I just fail to see how quantity factors into anything here.
Maybe some kind of federated option?
That's either recent or wrong, I'm in the UK and certainly they're not new since 2019 or whenever we left (I was going to say 16 but I realised that was the vote not actual exit, but longer than that anyway).
> When people in my home country think of an “American” they think of people of British descent.

Your home county is just completely wrong in their understanding.

Top 3 Ancestry groups (2015 Census) are actually 1) German, 2) Black/African-American and 3) Mexican. English comes in #5. [1]

If you tally English/Scottish/Welsh, you are only talking about 10% of the US population is British descent. And that was from the Census in 2015. In 2020 they had a White category which was #1, and only 8.2M identified explicitly as English and 1.75M as Welsh.

> if you relocated the population of say Bangladesh to the US, and gave everyone US citizenship, they wouldn’t suddenly become “American.”

They would. You don't have to adhere to some sort of defined American culture or fully assimilate into it, it's not Denmark. If you travel to NYC, Miami, Atlanta, New Orleans, Iowa, LA, San Fran, Dallas, Seattle, you are going to get different people and experiences and cultures. I can assure you they are all very much Americans.

I'd argue that those that worry about a scale of Americanism and where they'd place their own fellow citizens are actually the least American if anything. We can call it the American Culture Paradox. Those that think they are the most American and categorize or judge others are actually the least American!

> The American founders clearly recognized as much when they created a distinction between native-born citizens and naturalized citizens and wrote it into the Constitution.

Yes because they had such massive distrust for the monarchy they didn't want outsiders infiltrating and taking over their new government and country.

[1] https://www.infoplease.com/us/race/ancestry-us-population-ra... (2015 Results)
We've found that CodeLlama-70B is a much more capable base model than DeepSeek-33B. I'd love to hear your feedback on Phind-70B specifically.
That specific scenario is impossible, in my understanding, because Jack does not have an ownership stake in the company.

This release, of federation, is in my mind a major answer to the real question you're asking, which is the same but with "the employees" instead of "Jack," as they have the equity stake.

Once things are federated, other folks gain power over the protocol, by virtue of usage. If Bluesky PBLLC starts to do shady things, the other instances can refuse to do so, and talk to each other instead.

This is why the split between AT and BlueSky is important, and why this news matters, as it is meaningfully delivering on the desire to protect against such a thing.
One beef of mine with Google’s offline maps is that they’re only driving maps, and not walking/transit/cycling maps. Obviously you can kinda figure out walking paths anyway, but since I’m sometimes travelling without roaming access, it’s unfortunate.
I'm really glad they exist! These days I mostly use wine via Proton/steam, but used cxoffice back before LibreOffice / google docs.

Today I just use crossover to run Quicken, which it does as well as Quicken runs anywhere. They have some magic to make it work when plain wine didn't.
Deepseek 33B is great. Also runs well on a modern (beefy) MBP.
Ah yes, the "we don't need seatbelts or airbags, we just need better drivers" argument
I think something which could be really big thing is to run WINE in Windows, exactly to keep legacy applications running. That could be via WSL, but it would be even more useful if WINE ran on Windows itself. Some corporate computers can't enable WSL because of policies.
As far as I have understood, it's not something you can simply buy. Only certain industries get access to buying it.
Finetune means to do extra training on the model with your own dataset, for example to teach it to produce images in a certain style.