skysight-inc/HackerNews huggingface dataset:
Using caps doesn’t make this affirmation any more true.

While you’re correct that it does massively help, money is only a resource, which you can use to trade for a lot of things, but there are people, things and abstract concepts that money can’t buy.
I don’t see a need to jailbreak them. Just don’t let the TV anywhere near network credentials. Plug an Apple TV into it and be done. I mean, unless you really, really want to see what kind of hot garbage passes for a UI on those TVs.
The successful coup was led by Satya Nadella.
Her rise didn't make sense to me. Product manager at tesla to CTO at openAI with no technical background and a deleted profile ?

This is a very strange company to say the least.
XMMS2!
The other Scheme environment I use regularly is Gambit. So, reppin both Marvel and Capcom.
Well, Amazon did Amazon, right? So it's not impossible to be Amazon.

They had had a catalog operation and by some accounts class-leading (for the time) information systems. They had Prodigy and more or less successfully pivoted into making Prodigy an ISP. Undoubtedly they knew a lot of things Amazon had to figure out from scratch. The notion that Amazon was a great invention rather than just great execution is kind of risible.

Flip it around - what could Amazon have done with 1500 marginally profitable retail stores and a storied brand name? Sears kept the party going for a couple decades after the dotcom era, and still exists, so they weren't on the brink of folding back then. Note also that Sears' failure was not preordained: other brick-and-mortar retailers from the era have survived and even prospered.
Failure Mitigation for Microservices: An Intro to Aperture
EPA must address fluoridated water's risk to children's IQs, US judge rules
The issue (and I think what's behind the thinking of AI skeptics) is previous experience with the sharp edge of the Pareto principle.

Current LLMs being 80% to being 100% useful doesn't mean there's only 20% effort left.

It means we got the lowest-hanging 80% of utility.

Bridging that last 20% is going to take a ton of work. Indeed, maybe 4x the effort that getting this far required.

And people also overestimate the utility of a solution that's randomly wrong. It's exceedingly difficult to build reliable systems when you're stacking a 5% wrong solution on another 5% wrong solution on another 5% wrong solution...
It's not particularly cheap or effective. From the article:

> Chojkiewicz says her team’s modeling neglected those alternatives because their goal was simply to lay out the “nationwide potential,” of reconductoring.

They only compared it to buying new land and putting in completely new lines.

They ignored simply increasing the voltage, switching to HVDC and any solution other than "putting in whole new lines".

In particular, the fact that they just ignored HVDC is problematic. HVDC gets you not just cheaper transmission but lower losses so makes better use of what you have even if you don't immediately boost capacity.
Snooping traffic isn't new though, so what's specific about this tool and Python.
You can do that with django debug toolbar. If you have an endpoint that doesn't return HTML, and hence wouldn't render debug toolbar, you can go to django admin (or any other endpoint that would render ddt) and go to the history pane, check other requests and switch to them.
Unrelated point of contrast:

I got an email a couple weeks ago from a vendor I'm using telling me about 2 hours of downtime I didn't even know about. They certainly could have only written to customers known to have been affected, and maybe just posted on a blog, but I got an email telling me things were down (I didn't even notice) and what was being done to reduce/avoid that.

They will likely grow to a point where they stop being that transparent, but until then... I appreciate the honesty and transparency.
Someone should make a ML model called Winamp to compete with Meta's Llama.
> It's a very relevant fact that Greg Brockman recently left on his own volition.

Except that isn’t true. He has not resigned from OpenAI. He’s on extended leave until the end of the year.

That could become an official resignation later, and I agree that that seems more likely than not. But stating that he’s left for good as of right now is misleading.
Content marketing strategies for e-commerce sites: Boost Sales No
This is great! Does anyone know if the llama models are trained to do function calling like openAI models are? And/or are there any function calling training datasets?
I will never understand why people still take statements like these at face value. These aren't her personal thoughts and feelings. The letter was carefully crafted by OpenAI's PR team under strict direction from Sam and the board. Whatever the real story is is sitting under many layers of NDAs and threats of clawing back/diluting her shares, and we will not know it for a long time. What I can say for certain is no executive in her position ever willingly resigns to pursue different passions/spend more time with their family/enjoy retirement or whatever else.
One possible explanation could be OpenAI has no clue on inventing AGI. And since she has now fuck you money she might as well live it instead of wasting away working for OpenAI.
With multiple correct predictions, do you think the rest of HN will start to listen to Gwern’s beliefs about OpenAI / AGI problems?

Probably not.
we need protections for children. An argument can be made that adults are responsible for their data, perhaps protections here are also needed, but children can't be held responsible. I would not want my children's data being harvested for some multimodal model; these days even toothbrushes are iot devices. Where will the data harvesting begin to end?
Hey, fun Game. Took me a few rounds to find the right strategy (which is spoiler ... The 2048 strategy to aline powers of two on the border, which for me often lead to a sequence of Queens) and then it's unfortunately leading to the 2048-problem that one plays relatively simple strategy with annoyance by random generator ... it is a bit better as one needs "powerful" figures on the sequence (while not having a queen once can be fixed by the next queen ...) and can be interesting to force the king into a corner and locking it there. Were quite a few fun rounds, but I think I am "through" especially as it stops on the 2048, just like the original 2048 did.
The dock is up to you, though, no? If you really wanted a super super tiny thing you could remove most of the GameCube ports and cut down the size a ton. It wouldn’t be much bigger than the dockless variant.
Afaik, he's exceedingly driven to do that, because if they run out of money Microsoft gets to pick the carcass clean.
I'm sure this isn't the actual reason, but one possible interpretation is "I'm stepping away to enjoy my life+money before it's completely altered by the singularity."
Well why was sam altman fired. it was never revealed.

CEOs get fired all the time and company puts out a statement.

I've never seen "we won't tell you why we fired our CEO" anywhere.

now he is back making totally ridiculous statments like
'AI is going to solve all of physics' or that 'AI is going to clone my brain by 2027'

This is a strange company.
Yes, and transformer models can do more than text.

There's almost certainly better options out there given it looks like we don't need so many examples to learn from, though I'm not at all clear if we need those better ways or if we can get by without due to the abundance of training data.
We've banned this account for breaking HN's guidelines. If you don't want to be banned, you're welcome to email hn@ycombinator.com and give us reason to believe that you'll follow the rules in the future. They're here: https://news.ycombinator.com/newsguidelines.html.

p.s. If you had only been doing it in this one thread, I'd have posted a warning instead of banning you immediately, but this is clearly a pattern and not cool:

https://news.ycombinator.com/item?id=41627310

https://news.ycombinator.com/item?id=41583798

Also, we'd already warned you: https://news.ycombinator.com/item?id=36384393.
Have you done user research outside your fan base to show this experience is something developers want?

Is it desirable enough to get them to switch IDEs?
https://www.nytimes.com/2023/11/17/technology/openai-sam-alt...
This is likely because the models use OCR on images with text, and once parsed the word search doesn't make sense anymore.

Would be interesting to see a model just working on raw input though.
I think it is the same reason rich people throw money after Adam Neumann post Wework. They know it is a con and wanna be part of it. They see themself as alpha-wolfes to badass to be losers. Compare to people that shill as true believers in different strange crypto Ponzi-schemes. They think they are in on it.

Being so good that you get in charge of YC, and not fired by PG at all, makes you perfect to meta-morph 'OpenAI' into some dystopian big corp, as seen.
Winsnw
Or just not use arbitrary 3rd party stuff hoping it works :)

libcurl is used on billions of devices across the world and has plenty of debugging capabilities.

MITM proxy works across all languages.
Titan implosion "expected by everyone who had access to a little bit of info"
I think being able to charge at home is almost a requirement but definitely not necessary in some places. I charge at home maybe twice a month, and there are dozens of chargers within a few minute walk of where I live. Many retail areas have chargers too, so its easy to get a few kwh of charge on a short trip to get groceries or something.

I think there are also a significant number of EV owners who almost exclusively use public DC fast charging. If there are enough fast chargers around, you can treat an EV similarly to an ICE car - drive it til its mostly empty then fill it up.
Maybe services should take Monero. I know some that do.
I was pressured into relocating to a different state. On a holiday weekend I drove 6 hours home to see my family. Just as everyone was showing up I got a call from my boss that he desperately needed me on a huge outage. I retreat to a spare room and get on the call. There doesn’t seem to be much for me to actually do. At one point he asked me to do a vlookup in Excel, but someone else took care of it, as they were already managing the spreadsheet.

The boss told me I should be in the office the next day, as there would be a lot of cleanup to do. So once I got off the call I drove 6 hours home. 12 hours in the car for maybe 2 hours of seeing the family.

The next day I walk into the office and the ops team asks, “what are you doing here? There’s nothing for you to do, go home.”

Holiday weekend killed, family time pushed off for another 6 months until the next holiday worth the 12 hour drive, all for some optics and being available if they needed me, when they didn’t actually need me.

The worst on-call is the on-call that never should have happened, because your boss doesn’t understand what you do and has no boundaries.
Half a century since Pascal. Forty years since Ada. 28 years since Java.
Fifteen years since Go. Ten years since Rust. And still unsafe code is in the majority.
Just spatial resoning, people have already demonstrated it controlling robots.
Opening speech by the EU Commission President on carbon pricing
Non US citizens can access the model just fine, if that's what you are implying.
Why make tool when you can just ask AI to give you filelist or files that you need?
> Daily check-ins, for professionals, for adults in general, heck even for children, are micromanagement

Exactly this.
Ctrl-labs bought Myo band IP from North (formerly Thalmic)

https://techcrunch.com/2019/06/27/ctrl-labs-scoops-up-myo-ar...
OpenAI is a Microsoft play to get into power generation business, specifically nuclear, which is a pet interest of Bill Gates for many years.

There, that's my conspiracy theory quota for 2024 in one comment.
You've broken the site guidelines badly in more than one place in this thread. Can you please not do that? Regardless of how wrong someone is or you feel they are, it destroys what HN is for, and we have to ban such accounts.

If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.

p.s. I'm not banning your account immediately because I didn't see any other cases of this in your recent history. That's good. Please make sure it doesn't happen again.
Prediction: OpenAI will implode by 2030 and become a smaller shell of current as they run out of money by spending too much.

Prediction 2: Russia will implode by 2035, by also spending too much money.
Beware, canvas-based code editors (like Code Bubbles) have problems. A 1d carousel/ribbon performed better in some initial user studies:

https://austinhenley.com/pubs/Henley2014CHI_Patchworks.pdf
Do they tell you what training data they use for alignment? As in, what biases they intentionally put in the system they’re widely deploying?
Wow, more useless trash.
They are not allowed indeed: 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.

Interesting though, since (some) EU law applies outside the EU anyway, so I'm not sure how much lawyer there is in the text.
hilarious logical end progression of all those idiotic articles about $600k dual income households in the bay living "paycheck to paycheck"
What they're getting confused with is that as the craze hit and Ivermectin supplies ran low, some people were buying it from veterinary supply stores in formulations meant for horses.

People were, quite rightly, saying that taking medicine formulations meant for horses was a bad idea, given the potentially non-human-friendly additional ingredients and the difficulty in keeping within safe dosages.
Ah I didn't realize it was that old. Well, in that case I'd recommend both a graphics card and a CPU upgrade.

In my gaming PC (with a 4070 Ti so a pretty strong GPU) I replaced a 5600X with a 5700X3D. It has made my VR experience essentially perfect.
Yes (rationale: 3.1 was, would be strange to rollback.)

In general, you'll do a ton of damage by constraining token generation to valid JSON - I've seen models as small as 800M handle JSON with that. It's ~impossible to train constraining into it with remotely the same reliability -- you have to erase a ton of conversational training that makes it say ex. "Sure! Here's the JSON you requested:"
The counter intuitive part is that there is now more code written in memory unsafe languages than there was before. Even if it's just bug fixing.

It's not as if bug fixes haven't resulted in new memory bugs, but apparently that rate is much lower in bug fixes than it is in brand new code.
The probe bears on the ice below it and the cable gets held by the ice that's re-frozen above the hole.

What you have to worry about is the ice shifting and severing the cable.
They mention tool calling in the link for the smaller models, and compare to 8B levels of function calling in benchmarks here:

https://news.ycombinator.com/item?id=41651126
You can always try putting out an ad on Craigslist: "Need someone to fix my car (or landscape your yard or prune your tree, whichever thing you're trying to get done) for $X/hr. No experience or certification or warranty of any kind required, if you get hurt I guess I'm paying your medical bills, if you've never done this before now's your chance to muddle through and find out how on my dime, and if you ruin my property well then it sucks to be me."
You forgot to add `/blog`: https://gourav.io/blog/linear-code.

And thanks, I've been trying to get my team to get used to writing `else`-less code (i.e., without nesting as much as possible), I'll keep your link in my bookmarks and share it with them when appropriate.
At one company (think bank/financial services) I was at as a "software development supervisor" I had to run a daily standup/scrum meeting every day, for 3 years. It really became oppressive over time. That company eventually had layoffs and I left. But they were still doing the daily standup, even when there were only 3 people left.
A significant portion of the old guard at OpenAI was part of the Effective Altruism, AI Alignment, and Open Philanthropy movement.

Most hiring in the foundational AI/model space is very nepotistic and biased towards people in that clique.

Also, Elon Musk used to be the primary patron for OpenAI before losing interest during the AI Winter in the late 2010s.
I've just tested the 1B and 3B at Q8, some interesting bits:

- The 1B is extremely coherent (feels something like maybe Mistral 7B at 4 bits), and with flash attention and 4 bit KV cache it only uses about 4.2 GB of VRAM for 128k context

- A Pi 5 runs the 1B at 8.4 tok/s, haven't tested the 3B yet but it might need a lower quant to fit it and with 9T training tokens it'll probably degrade pretty badly

- The 3B is a certified Gemma-2-2B killer

Given that llama.cpp doesn't support any multimodality (they removed the old implementation), it might be a while before the 11B and 90B become runnable. Doesn't seem like they outperform Qwen-2-VL at vision benchmarks though.
They brought you React so that there'd be plenty of bloat at runtime for their trackers to hide in. Seems consistent to me.
Llama 3.2 includes a 1B parameter model. This should be 8x higher throughput for data pipelines. In our experience, smaller models are just fine for simple tasks like reading paragraphs from PDF documents.
My lead is busy 100% of his day. If we don't force him to purposefully have the 15 minute standup inefficiency in his day, I won't get time with him ever. I simply won't ever outrank the other people asking for him.
Really fun game, well done. People are complaining about the rules not being clear enough but IMO figuring out the rules as I went along was (unexpectedly) part of the fun. I had no idea how to win (or if the game even could be won) until I realised that my queen was now the same colour as the king, and then the penny dropped.
If it were any other company, I'd be skeptical.
Since it's Meta, I'm dead set against it from day 1.
yes, but only the text-only models!

https://www.llama.com/docs/model-cards-and-prompt-formats/ll...
I'm not implying anything. It's just frustrating that despite being a US territory with US citizens, PR isn't allowed to use this service without any explanation.
Do inference frameworks like vllm support vision?
Off topic/meta, but the Llama 3.2 news topic received many, many HN submissions and upvotes but never made it to the front page: the fact that it's on the front page now indicates that moderators intervened to rescue it: https://news.ycombinator.com/from?site=meta.com (showdead on)

If there's an algorithmic penalty against the news for whatever reason, that may be a flaw in the HN ranking algorithm.
Thanks for sharing!

I'm seconding the "incredibly fun" comment, but I would keep the occasional big numbers. It probably took me an hour to finish the game and I wouldn't want to slow it down further. The little extra bit of randomness/luck it adds is nice too.

When it comes to the UI, I was a bit confused about how the gameover and piece removal works. I guess if there are no legal moves it removes a piece?

Also, the multiple move mechanic where the last piece to move is automatically preselected sometimes tripped me up a few times and caused me to accidentally downgrade a piece.
200 Chemicals Linked to Breast Cancer Found in Food Packaging
I've always used a proxy, like charles proxy, for this exact purpose.

A neutral middle-man that gives exact timing/response data.
Set off a gratitude bomb today (2019)
Skin effect works at all frequencies besides DC. At 60 Hz it’s 8.5mm. So, solid conductors thicker than 17mm have some skin loss. You can mitigate this by winding multi strand wire in a particular way, though.
That graphic comparing benchmark averages is really nice, wish things were presented so clearly more often.

That being said, I think this definitely tilts things in Molmo's favor by including so many benchmarks that seem to favor Molmo, in particular the counting ones. The average hides that it has a pretty modest MMLU score compared to state of the art.
Tried out 3B on ollama, asking questions in optics, bio, and rust.

It's super fast with a lot of knowledge, a large context and great understanding. Really impressive model.
The main issue was that Meta quickly took down the first announcement, and the only remaining working submission was the information-sparse HuggingFace link. By the time the other links were back up, it was too late. Perfect opportunity for a rescue.
Nice work!

What's the latest state of the art in image stitching these days? From what I can tell, there was a bunch of research done on it in the past, but with all the recent advancements in AI, not much has changed on this front. I'd love to be wrong though!
Can you share an example of a use case you have in mind of this "explainer + RAG" combo you just described?

I think that RAG and RAG-based tooling around LLMs is gonna be the clear way forward for most companies with a properly constructed knowledge base but I wonder what you mean by "explainer"?.

Are you talking about asking an LLM something like "in which way did the teams working on project X deal with Y problem?" and then having it breaking it down for you? Or is there something more to it?
We can be reasonably confident of which side of the Mohorovičić discontinuity it may be, as existing tools would be necessary to create it in the first place.
> This is a strange company.

Because the old guard wanted it to remain a cliquey non-profit filled to the brim with EA, AI Alignment, and OpenPhilanthropy types, but the current OpenAI is now an enterprise company.

This is just Sam Altman cleaning house after the attempted corporate coup a year ago.
Review finds serious gaps in steps to control avian flu in mammals
I wonder if this is economically feasible. A fast charger is going to take at least 20-30 mins to charge a car, where filling up with gas is more like 5 minutes. This means a gas station can get significantly more customers per hour than an equivalently sized EV charging station.
https://en.wikipedia.org/wiki/Roy_Clay
That's the problem on the other end. But micromanaging on this end is also very annoying.
Curious about the multimodal model's architecture. But alas, when I try to request access

> Llama 3.2 Multimodal is not available in your region.

It sounds like they input the continuous output of an image encoder into a transformer, similar to transfusion[0]? Does someone know where to find more details?

Edit:

> Regarding the licensing terms, Llama 3.2 comes with a very similar license to Llama 3.1, with one key difference in the acceptable use policy: any individual domiciled in, or a company with a principal place of business in, the European Union is not being granted the license rights to use multimodal models included in Llama 3.2. [1]

What a bummer.

0. https://www.arxiv.org/abs/2408.11039

1. https://huggingface.co/blog/llama32#llama-32-license-changes...