skysight-inc/HackerNews huggingface dataset:
GPU Screen Recorder: A shadowplay-like screen recorder for Linux
Maybe you'll find a new hobby in 3d printing and postpone your plan.
I feel like the existence of daily standup has influenced this for my team. There's a lot of, "well I could reach out about this now, but I'll just bring it up at standup and then I'm not interrupting anyone"
The cookie example has implied social expectations with the intent of doing nice for individuals of the community.

A similar example: someone is moving out and puts a huge pile of furniture and assorted stuff on their front lawn with a sign that says "free to take", and some thrift store notices it and scoops it all, quickly. The giver is delighted, because he didn't want it to be slowly picked at piecemeal -- he just wanted it all gone. He doesn't care if the thrift store profited $10,000 off of sales.

Free software is something that benefits individual developers (like individual neighbors) and big businesses alike. Unlike cookies, if a company slurps it all up, it doesn't mean the kid next door doesn't get a cookie. It's digital, so you just make copies. Everyone om noms. Nobody has to feel guilty for taking a cookie, or a thousand cookies.

So I urge OSS developers: if you have some expectation of an ethos of giving back, either embed it into the license as a requirement, or a non-requirement footnote, or be up front of it in the project charter. Don't make assumptions that everyone interprets things the way you do, because it will inevitably be wrong as these OSS stories show time and time again.

I'm still just getting familiar with this WordPress situation and haven't watched the video yet, but in general for cases like these, it just makes the OSS author appear immature, maladjusted, like they're throwing a tantrum because somebody took them up on their offer of generosity, and now they have some sort of envy/jealousy over someone not living up to their end of the bargain that they never agreed to. It often seems backwards, dumb, reactionary, flailing, vindictive and so on, in ways that jeopardize the tantrum-maker's reputation. I don't know all the particulars of this case yet and while I have used WordPress.org (self-hosted and 3rd party host), I'm not deep into the ecosystem or a fanboy of anybody, so I'm reserving judgment but so far I am leaning towards this being yet another over emotional tantrum that was not well thought out or executed, that misses its target and is probably a PR problem.

So enough about how bad it looks. What should the target be?

OSS should be about generosity, voluntarism, and constructiveness, IMO. So the target should be about establishing societal norms about how much companies should be contributing, (to the extent it even makes sense). But you can't do what appears to be borderline extortion (according to people here) for $40 million dollars annually, with abuse of position (RSS feed), and then expect to be taken seriously as a good faith actor in what is a high-minded plea about having a more generous ethical society. It may be a way to draw attention to the topic and rekindle discussion, but it also starts the discussion on a sour note. There has got to be a better way to do this than for OSS authors to expend themselves like a grenade.
Whether this pans out as the oldest wreck in the Great Lakes or not it sounds pretty cool. Wreck diving in the Great Lakes is great. If you're into that kind of thing it's worth the trip.
Starting to wonder why this is so common in LLM discussions at HN.

Someone says "X is the model that really impressive. Y is good too."

Then someone responds "What?! I just used Z and it was terrible!"

I see this at least once in practically every AI thread
This makes it sound like some kind of retaliation, instead of Meta attempting to comply with the very regulations you're talking about. Maybe llama3.2 would violate the existing face recognition database policies?
Why did Jesus go into the temple and blow their shit up? Shouldn't he have forgiven the money changers and dove sellers?
I don't use the word "content" that way. What you call "content" I call internet slops.
Click through to the description page. It has a wireless compute unit.
> I personally found them quite helpful to ensure I could help out team members who had got stuck.

So talk to people. You can even do this every day.

But you can't do that on a meeting with close to ten people, all stopped there waiting for you to finish your speech.
Why is it that the developers would go into useless directions and solve non-problems? Perhaps they were not given good directions and a well-defined problem in the first place?

It is this attitude toward developers that made stupid shit like Scrum possible. Processes will not solve communication problems if there is no mutual trust to start with.
> I never had any problem to say "nothing to report on my side, working on X like yesterday".

If daily scrum is essentially a status meeting by-any-other-name and nobody is much bothered by what your status is....then maybe you don't need to be giving a status to begin with? Seems like functionally you are more of an observer than a participant and you just throw in a status as a "when in Rome" token.

For the managers in the room, "uhhhh, lots of meetings yesterday" is a fine status to give day after day.

Watch what happens to a programmer who gives an honest status of "uhhhh lots of meetings yesterday, not a lot of progress on X" though. They're inviting attention. There's an added onus on devs that they need to come up with a way to describe what they did the day before (no matter how small) such that non-dev listeners can hear some epsilon of progress was made. Because if it doesn't sound like progress, it sounds like no-progress. And then people who don't understand how any of it works want to start trying to understand. And now you've got two problems.
Are these models suitable for Code assistance - as an alternative to Cursor or Copilot?
it’s so frustrating trying to find ways to be healthy. It’s easy to end up feeling powerless against all of this. Even high end health food stores likely use these packaging materials
That's how it actually works and they mention low latency a lot.
I can do things now in GPT4 just by asking where as before in 2,3,3.5 etc it seemed a lot more restrictive
Why is it that and not just cost/benefit for them?

They've decided it's not worth their time/energy to do it right now in a way that complies with regulation (or whatever)

Isn't that precisely the choice the EU wants them to make?

Either do it within the bounds of what we want, or leave us out of it?
When I visit meta.ai it says:

> Meta AI isn't available yet in your country

Maybe it's just my ISP, I'll ask some friends if they can access the service.
extremely efficient: python.
There are Chrome extensions that do this well already
Yes. The existence of the meeting makes people delay solving their problems until the next one.

This is not something that make teams agile.
I used to work at a battery recycling company and one time I accidentally let one slip through and sent it off to the place where they do something with them involving fire. This battery was maybe the size of a TV remote and caused an explosion. However, they are just about as energy dense as they get and happen to weigh nothing. But you can’t put it out with water if it catches fire.
"The Llama jumped over the ______!" (Fence? River? Wall? Synagogue?)

With 1-hot encoding, the answer is "wall", with 100% probability. Oh, you gave plausibility to "fence" too? WRONG! ENJOY MORE PENALTY, SCRUB!

I believe this unforgiving dynamic is why model distillation works well. The original teacher model had to learn via the "hot or cold" game on text answers. But when the child instead imitates the teacher's predictions, it learns semantically rich answers. That strikes me as vastly more compute-efficient. So to me, it makes sense why these Llama 3.2 edge models punch so far above their weight(s). But it still blows my mind thinking how far models have advanced from a year or two ago. Kudos to Meta for these releases.
It's relatively common to find residential inverters that handle the balance issue because they interoperate with utility power management and will constrain themselves if told to do so. Inverters that handle battery and solar input are used here to create an ad hoc peak power plant. National Grid would pay me $500 to $2000 a year for providing extra energy into the grid during peak loads.

You also see this with utility-scale solar, where the power consumed from the solar flat tops being the access is dumped. I take the position that if your solar array is constrained during the day, you need more batteries.

Vermont has a virtual power plant where solar panels are installed on residential housing, batteries are supplied, and the virtual power plant is managed. As far as I know, they have eliminated the need for a gas peaker. Tesla does the same thing as Sunrun.

As I often say, your objections are engineering problems that can be solved. :-) If you want to go further down this rabbit hole, check out https://www.youtube.com/@WillProwse. There is lots of good information, good testing, and a willingness to trigger circuit breakers at the 100amp+ range or let out magic smoke.

In some of his best videos, he cuts open battery packs for various manufacturers and evaluates manufacturing, sensor placement, BEM, and hot and cold temperature protection issues.

One thing we did not discuss is the need to have everyone connected to the grid contribute to the maintenance of the grid. I've lived in communities with municipal electric companies, and they generally have more reliable infrastructure and cheaper power than the big boys like National Grid and EverSource. Done right, we could use Agravoltaic to help secure the financial footing of local farms and improve many aspects of farming, including soil moisture retention, better yields, etc. With goats and sheep livestock, you don't need to mow, and you get a nicer local lamb source than you would get it by shipping it here from New Zealand.
Sentencing a man to death when there is reasonable doubt of his guilt is a miscarriage of justice.

"A crime scene covered with forensic evidence contained no link to Mr. Williams.
Mr. Williams has been seeking to prove his innocence throughout the 23 years he has spent on Missouri’s death row. On August 11, 1998, Felicia Gayle, a former reporter for the St. Louis Post-Dispatch, was found stabbed to death in her home. The perpetrator left behind considerable forensic evidence, including fingerprints, footprints, hair, and trace DNA on the murder weapon, a knife from Ms. Gayle’s kitchen. _None_ of this forensic evidence matches Mr. Williams."

https://innocenceproject.org/who-is-marcellus-williams-man-f...
A jury of his peers thought there was enough evidence to convict him and they did. At that point, he's "guilty until proven innocent".
That logic doesn't follow, because it could be the case that America would be even more violent if we didn't execute people. Having said that, I find the deterrence angle suspect. Very few people would consider spending the rest of their life in jail acceptable, but being put to death unacceptable.
Meta CEO Zuckerberg's shirt puts him in company of Roman emperors
And reporting up to someone whose sole responsibility in the interaction is to detect stuckness or the hint of stuckness or to offer referrals to someone who might make you go faster is tiring as hell.

It's quite transparent and grating.

I recognize that often there is a good outcome and it helps. People can spin on issues poorly. (And I definitely am a person who from outside appearances sometimes resembles that, although usually it's me becoming the only expert we have in the domain & seeing how systems really work, not just closing the ticket asap.)

I wish we had async/offline systems to follow each others course & suggest some steering rather than being beholden to daily cross examinations where managers get to decide to redirect us off the path we've chosen.
> If you write only for yourself, what motivates you to actually finish, and more importantly, polish a post?

Because I will eventually have the same problem again and if it's not documented to hell and back it will take me days to figure out what I did the last time to solve it.

The third time you find a 10 year old post by yourself asking how to solve the same problem you're having now and posting "nvm - I got it" is the time you appreciate documentation and run books.
Full text:

https://github.com/meta-llama/llama-models/blob/main/models/...

https://github.com/meta-llama/llama-models/blob/main/models/...

> With respect to any multimodal models included in Llama 3.2, the rights granted under Section 1(a) of the Llama 3.2 Community License Agreement are not being granted to you if you are an individual domiciled in, or a company with a principal place of business in, the European Union. This restriction does not apply to end users of a product or service that incorporates any such multimodal models.
I would love for you to expand a bit on what you think is missing beyond:

- It's for cross discipline teams to be able to unblock each other, communicate and feedback progress and updates.

Do you see the teams as temporary? Or longer term?
How large or small a team size are you thinking?

For example would your approach be:

- Build a team to tackle a feature or solve a specific area

Just curious to get a bit more understanding about what your envisioning =)...
meta.ai is their AI service (similar to ChatGPT). The model source itself is hosted on llama.com.
Not only that, but right now there may be an uncommon glut of underutilized office space whose leases may not be renewed when the terms naturally expire sometime in future years.

Until then this might be the best opportunity for recent graduates to gain full-time office experience. If the push for RTO is stronger than actually needed, and the space has just been lying fallow since Covid, there's still room for everyone to come back in, but the pendulum will later swing back to where office positions are harder to come by.

That may lead to a situation where years of 5-day 9-5 grind may be even more essential to achieve promotion, when fewer new recruits will have as much opportunity to put it on their resume compared to now.
They can move to different OS if they don't like MS licensing policy. I'm sure IBM and Oracle etc are more than happy to take them as customers, MS does not have monopoly on server side.
Most of these products arnted aimed at consumers, but industrial tech. While the critque is great for enthusiasts, it makes no sense for what this type of industrial use will occur.
How to Create a Dynamic ModelForm in Django Admin to Display Dynamic Columns
While I agree, it is also very common that it's the culture inside the dev team that leads to this situation.

Dev culture tends to idolize unicorns and 10x coders (more than management who has absolutely no reason to care about the status or ego of each dev individually) so they tend to, themselves, find intimidating to admit they are not one.
I do this. And once I had a customer support agent ask for it. The conversation went like this:

Agent: "I'll need to ask for a few details first. What was your first pet's name?"

Me: "ZD4Fbyed6fzoUcmi"

Agent: "Thank you."
> while Windows still uses primarily uses C or C++.

Do you have data for that? My impression is that a large fraction of Windows development is C# these days. Back when I was at EA, nearly fifteen years ago, we were already leaning very heavily towards C# for internal tools.
On the other hand, we _were_ warned not to land on Europa. Could be interesting ...
This is common with everything new tech. The first laptops, the first phones, the first iPhone, the first iPod and so on started out large.
I question whether a 3B model can have “a lot of knowledge”.
I have a suspicion that may refer to how many people hop jobs for pay raises or otherwise manage to avoid improving their skills. Lots more developers, plenty of years-in-profession seniors, few high-experience seniors.

Ever since people started talking about the coding abilities of AI I've been thinking this pattern would just accelerate, with beginners and inexperienced developers leaning on it too much instead of improving their own skills.
Well predicted. Just two days later:

> OpenAI to remove non-profit control and give Sam Altman equity

https://news.ycombinator.com/item?id=41651548
I’m from Europa. I can confirm there’s life here. Not sure for how long though.
What mobile devices can the smaller models run on? iPhone, Android?
In other discussion, people complain about the "flow" and how they should not be interrupted.

I guess different people works differently.
Bigcos not that hard to get into. It's just an entirely different process. You would need to hire someone with that kind of experience.
Understood. I will do that. Thanks.
this is corporate life.
OpenAI CTO Mira Murati Resigns
How to think in graphs: An illustrative intro to Graph Theory and applications
Interesting point - I assume this would be helpful given I could reasonably promise them huge rewards for protecting me. Is that what you meant, or do you think this would actually increase the danger level?
If you are still curious about the architecture, from the blog:

> To add image input support, we trained a set of adapter weights that integrate the pre-trained image encoder into the pre-trained language model. The adapter consists of a series of cross-attention layers that feed image encoder representations into the language model. We trained the adapter on text-image pairs to align the image representations with the language representations. During adapter training, we also updated the parameters of the image encoder, but intentionally did not update the language-model parameters. By doing that, we keep all the text-only capabilities intact, providing developers a drop-in replacement for Llama 3.1 models.

What this crudely means is that they extended the base Llama 3.1, to include image based weights and inference. You can do that if you freeze the existing weights. add new ones which are then updated during training runs (adapter training). Then they did SFT and RLHF runs on the composite model (for lack of a better word). This is a little known technique, and very effective. I just had a paper accepted about a similar technique, will share a blog once that is published if you are interested (though it's not on this scale, and probably not as effective). Side note: That is also why you see param size of 11B and 90B as addition from the text only models.
That was actually my first thought as well. If you’ve got your vesting and don’t wanna work in a large company setting anymore, why not go do something else?
The solution? Hourly scrums, daily retrospectives.
Oh man. I know they have a partnership with Ray-Ban, but Gentle Monster's design language would have really made these work at a consumer level.
It's a sign he needs better management.
A bit ironic to offer the design to subscribers only
Cringe with his new curly mop up top. Article doesn't even say who he made/designed them with: Amiri fashion label.
That’s fine if you can, but say you want to trace deployed on stage, or shudders even production. Or you code tests against some CI and can only add Python.
Discussion (321 points, 2 hours ago, 209 comments) https://news.ycombinator.com/item?id=41651038
I don't think that makes a difference. I realize since you wear these things it is in your interest to make it seem like that people caring about privacy is living in past, but it really is creepy and if I saw someone wearing these in public I would not be thinking the world of them. YMMV.
Landlords many times have other objectives rather than being cash flow positive.

One might want to speculate on the future price of the property. So instead of having empty the property they just rent it. This is obvious in the west coast where rent is so much cheaper than monthly payment of a 30yr mortgage.

Other landlords use property to just launder money. So any income is useful.
TikTok to Shut Down Short-Lived Music-Streaming Service
The point though, is, your dad is exiting the device and should have a data policy.

If everything stays on the device, sure, ignore data privacy.

But since you shuttle it through a hostile environment, it's important to identify how that data privacy is ensured.
What do/did you use your Hololens for?

I tried out the first gen version at a meetup and it was really nifty (the latency was fantastic), but I just couldn't work out what anyone would use it for in real life, it seemed too limited to be useful.
Confirmed by WP Engine: https://wpenginestatus.com/incidents/640187
https://www.wsj.com/tech/tiktok-to-shut-down-music-streaming...
I wonder if the same exists for Ruby?
It’s because they can’t imagine themselves doing it so they imagine that everyone must be like that. It’s part hubris and part lack of creativity/empathy.

Think about if you’ve ever known someone you’ve been envious of for whatever reason who did something that just perplexed you. “They dumped their gorgeous partner, how could they do that?” “They quit a dream job, how could they do that?” “They moved out of that awesome apartment, how could they do that?” “They dropped out of that elite school, how could they do that?”

Very easily actually.

You’re seeing only part of the picture. Beautiful people are just as annoying as everybody else. Every dream job has a part that sucks.

If you can’t imagine that, you’re not trying hard enough.

You can see this in action in a lot of ways. One good one is the Ultimatum Game:

https://www.core-econ.org/the-economy/microeconomics/04-stra...

Most people will end up thinking that they have an ironclad logical strategy but if you ask them about it, it’ll end up that their strategy is treating the other player as a carbon copy of themselves.
…did you read the link you just posted? If the person whose words are being presented as evidence is available for cross-examination then (legally) it’s not hearsay. The defendant in a criminal case is always available, so any statement they make out of court is never hearsay.
If feels like every builder of AR glasses falls into the same hole. At some point, after they make them smaller and better looking than the ones before it, they think “this is enough”.

It is not enough.

While a large improvement, those are some chunky looking glasses that I do not imagine anyone wants on their face.
I'm absolutely amazed at how capable the new 1B model is, considering it's just a 1.3GB download (for the Ollama GGUF version).

I tried running a full codebase through it (since it can handle 128,000 tokens) and asking it to summarize the code - it did a surprisingly decent job, incomplete but still unbelievable for a model that tiny: https://gist.github.com/simonw/64c5f5b111fe473999144932bef42...

More of my notes here: https://simonwillison.net/2024/Sep/25/llama-32/

I've been trying out the larger image models to using the versions hosted on https://lmarena.ai/ - navigate to "Direct Chat" and you can select them from the dropdown and upload images to run prompts.