skysight-inc/HackerNews huggingface dataset:
Even more concerning is the Israeli tech industry's role. For example, this is what is said in a Hebrew article about Bright Data (formerly Luminati), which AFAIK owns one of the largest (legal) pools of residential IP addresses and is demonstrably capable of making a massive amount of fake social media accounts for the purposes of scraping at scale (translated by Claude):

>The Israeli company Bright Data developed the TrendTrack system for promoting social intervention in support of Israel, providing tools to identify, report, and respond to posts gaining traction on social media. As a company specializing in global collection of public information from the internet, Bright Data has extensive infrastructure and public data collection capabilities. Based on these, they rapidly created massive databases that form the foundation for the new system, which aims to assist Israeli advocacy efforts during this difficult time.

Interestingly the same company also helps in investigation of state-sponsored influencing campaigns of Western adversaries (China, Russia, and Iran).
Gladly would, but few can afford :-/
Thanks for digging that out. Yes, that makes sense to me as someone who made a fully local speech-2-speech prototype with Electron, including VAD and AEC. It was responsive but taxing. I had to use a mix of specialty models over onnx/wasm in the renderer and llama.cpp in the main process. One day, multimodal model will just do it all.
The Uk should just burn coal for a while. I’m sorry but it’s the only sane solution. The current energy prices are wiping out the economy.
The West still leads in overall R&D. Even TSMC advanced nodes ultimately rely on western equipment and technology. New advancements in AI and vaccines were western as well.

China has made impressive bounds in R&D but still lags in many fields of scientific research. Much of their research output is derivative in my experience of reading a fair bit of research articles in several fields.

However China does lead in many fields of manufacturing. The western countries are far behind in there. That is important in terms of global leadership in renewable energy.
Updating our platform policies to reflect innovations in the ads ecosystem
There is a nonzero chance this was intentional. There is a long tradition; an article about the “Queen Mary” vessel being cleaned was allegedly titled “Queen Mary Having Bottom Scraped”.
FFS, This is in response to new data from a Registered Replication Report that is still in preprint.
Sure, in the same way that building a sandcastle, a doghouse, a single family home, and a skyscraper are all construction.
1) you should reach out to the Convex.dev folks. They have built a solid infra platform, and their backend is open sourced(ish). They are ex-Dropbox as well. And finally they love to share!

2) I think multiplayer games could be interesting! Lots of meat while still having a lot of space to calibrate the scope.
You could resell it and offer to order for people if they pay you half the regular price.
Using different 1B model as verifier makes sense, yes. Using Llama 8B finetune as verifier to compare 1B inference time scaled in comparison with 8B makes little sense to me.

Using 3B model with 8B verifier against 70B model would make sense too. This being said their performance barely crossed 70B line with 256 examples. This is 256*(8+3)/70 ~ 40 times more computationally expensive than running 70B model as is.
City in Osaka Prefecture looks for new mayor using job search site
Open models will catch up next year or the year after, there only so many things to try and there's lots of people trying them, so it's more or less an inevitability.

The part to get excited about is that there's plenty of headroom left to gain in performance. They called o1 a preview, and it was, a preview for QwQ and similar models. We get the demo from OAI and then get the real thing for free next year.
...Oh, it's an actual English word, I didn't know and now I am embarrassed. Should have checked the dictionary.

Thank you!
To be precise, it now appears the dispute has moved as to whether Nuvia had the right to transfer things to Qualcomm.

It strikes me as a surprising diversion to this, and I wonder how prepared for this outcome the respective teams were.
It sounds like they are using GPT to make the resume from the same template. People are desperate for jobs and will lie on their resumes and even submit false names and resumes so if one resume isn't chosen the other might be?

I'd call just for the giggles and see if it is the same person or using GPT.
> But the PDP-10 and VAX 9000 were basically mainframes. Million dollars or more. Whole large room with three phase power. Standard building AC might suffice but that was pushing the margin. And the faster clocked VAX 9000 was water cooled! That's not a minicomputer.

Why is that not a minicomputer. From our perspective it's a massive installation; from the perspective of the time, it was not necessarily.
IMHO with a simple loop LLMs are already capable of some meta thinking, even without any internal new architectures. For me where it still fails is that LLMs cannot catch their own mistakes even some obvious ones. Like with GPT 3.5 I had a persistent problem with the following question: "Who is older, Annie Morton or Terry Richardson?". I was giving it Wikipedia and it was correctly finding out the birth dates of the most popular people with the names - but then instead of comparing ages it was comparing birth years. And once it did that it was impossible to it to spot the error.

Now with 4o-mini I have a similar even if not so obvious problem.

Just writing this down convinced me that there are some ideas to try here - taking a 'report' of the thought process out of context and judging it there, or changing the temperature or even maybe doing cross-checking with a different model?
In this very thread there are multiple people espousing their views that the high score here is proof that o3 has achieved AGI.
You should be using `~/.local/share`, `~/.config`, and other standard directories on Unix systems. macOS has its own conventions.
Ah, because that's what was said that I was responding to?

See, this is the problem. I can't even point out that the way this is being communicated is counterproductive without you assuming I have some allegiance I'm expressing, and using a bad faith argument to try to get me to defend an assertion which is (as presented) undefensible.

I assume you feel this bad faith response is justified because you see a genocide and therefore why would you show constraint, but the other side is doing the same thing, for similar reasons, and nobody is actually trying to communicate, just yell at each other.

Congratulations on being the problem. I doubt you'll see yourself that way though, because again, why would you care how you're acting when you can tell yourself whatever you do is justified to stop a genocide?
- Continue with C

- Pick up C#/.NET for work

- Continue NandToTetris

- Graphics computing papers

- Make a game with C#

- Chip emulation in C

- Pick up Math papers for Graphics programming

Understanding all this will make me a much better programmer, but really I’m just doing it out of interest

My background is frontend, and I’m sick of it
The highest enterprise support tiers at Google cost millions of dollars per month… you probably mean the highest listed on their website for small to medium businesses.
Why does every show HN post attract beggars?
In general with all the microplastics floating around, I found it not a large investment to divest of 95% of the plastic in my kitchen (there was a lot), including the black variety, and only cook in stainless/carbon steel, ceramic enameled cookware, and glass with wood or stainless steel utensils and only drink filtered water. It's not hard to get most of the plastic out of your kitchen at least, but there are tons of other sources; clothes, furniture, devices, etc. I'm working on minimizing some of that as well. One of the most frustrating things is you can't find a drip coffee maker with an all metal full path for the water to grounds path. Everything I looked at had a ton of plastic unless it was $700+, so I live with the ritual of the french press for now
RISC-V is not anywhere near competitive to ARM at the level that Qualcomm operates.

I’ve written about that here: https://benhouston3d.com/blog/risc-v-in-2024-is-slow
I had an ex that "forced" me to become poly to stay together, which in hindsight was really just abuse and cheating rather than polyamory, although I didn't realize it at the time. So I'll admit I'm a bit jaded, and that colors my opinions of it.

However, I dove into it, read a lot of books, and decided to give it a try and was dating 3 women at once, while trying to also meet a huge number of other major life responsibilities, and the scheduling alone was a living nightmare. Having a deep and meaningful relationship with one person already takes the maximum amount of my time that I could possibly allocate to romance. Three time constrained and shallow relationships are maybe 1/100th as satisfying as one good one to me - I actually felt more lonely when I was dating 3 women, even though one was only dating me.

I would go on a trip or adventure, and have to keep 3 women updated on my well being and whereabouts. I would accidentally mix up my schedule, and have to rearrange 3 other peoples schedules to fix it- including managing a lot of resulting anger and jealousy. My snarky opinion is that polyamory is primarily for people that appreciate extra stress, busyness, logistics, scheduling, and conflict. I also feel it inevitably hurts people when you are more excited about a new partner than them, and it fundamentally requires a low level of empathy - and love - for your partners to be willing to hurt them in that way.

I think people should be free to do whatever they want, but I am skeptical that polyamory is anything but awful for people that have regular levels of human empathy, or have obligations like a career or children. I read almost every book I could on polyamory, and I felt the authors were almost universally sociopaths- and I could tell they were deeply harming other people in their own stories, and didn't even realize or care. For example, the book "The Ethical Slut" the author literally describes raping people, and is completely oblivious, and thinks they are "helping open them to new experiences."
I pay for Google Workspace for my personal Gmail account. It’s billed per user (with no minimums) so it’s actually very cheap even for the “enterprise” version.

The support is excellent. I can get a human on a live chat and request a screenshare and phone call session with a few clicks in under 10 minutes.

But of course that’s only available to me because I pay for the business version of Google albeit for personal use.
Where did you see that? I thought they used an 8b model for their reward model?

> To guide our search strategies, we used RLHFlow/Llama3.1-8B-PRM-Deepseek-Data, an 8B reward model that has been trained using process supervision
Unless their salespeople are calling you
The population of Gaza is about two million so the proportional death toll would be in the 50K-80K range.

In other words, not out of the norm for this type of warfare.
There's also the option of not pulling the pin, and shooting your enemies as they instinctively run from what they think is a live grenade. Saw it on a TV show the other day.
Neither TC0 nor uniform-TC0 are physically realizable, they are tools not physical devices.

The default nonuniform circuits classes are allowed to have a different circuit per input size, the uniform types have unbounded fan-in

Similar to how a k-tape TM doesn't get 'charged' for the input size.

With Nick Class (NC) the number of components is similar to traditional compute time while depth relates to the ability to parallelize operations.

These are different than biological neurons, not better or worse but just different.

Human neurons can use dendritic compartmentalization, use spike timing, can retime spikes etc...

While the perceptron model we use in ML is useful, it is not able to do xor in one layer, while biological neurons do that without anything even reaching the soma, purely in the dendrites.

Statistical learning models still comes down to a choice function, no matter if you call that set shattering or...

With physical computers the time hierarchy does apply and if TIME(g(n)) is given more time than TIME(f(n)), g(n) can solve more problems.

So you can simulate a NTM with exhaustive search with a physical computer.

Physical computers also tend to have NAND and XOR gates, and can have different circuit depths.

When you are in TC0, you only have AND, OR and Threshold (or majority) gates.

Think of instruction level parallelism in a typical CPU, it can return early, vs Itanium EPIC, which had to wait for the longest operation. Predicated execution is also how GPUs work.

They can send a mask and save on load store ops as an example, but the cost of that parallelism is the consent depth.

It is the parallelism tradeoff that both makes transformers practical as well as limit what they can do.

The IID assumption and autograd requiring smooth manifolds plays a role too.

The frame problem, which causes hard problems to become unsolvable for computers and people alike does also.

But the fact that we have polynomial time solutions for the Boolean Formula Value Problem, as mentioned in my post above is probably a simpler way of realizing physical computers aren't limited to uniform-TC0.
I’m extremely excited because I want to see the future and I’m trying not to think of how severely fucked my life will be.
It is not.

It's not anonymous, but pseudononymous. It's a public ledger, for everyone to copy and analyze. It's a public ledger that's mathematically proven to not have mistakes in it.

Exchanges are highly regulated. KYC is rediculously tight.

Sure, Bitcoin allows one to flee/fly to some criminals' paradise with their entire wealth stored in their brain (or on a napkin). And as long as they keep the money in crypto or black, it's unstoppable, really.

But it's a terrible medium to turn black money into white money. One of the worst of all options, really. And that's what laundering is.

Now, it's used for laundering. But that's more because its a great and easy store of value in itself. Not because a public, tracable ledger without any anonymity other than pseudonimity is a great system for laundering, because it's the exact opposite of that.

And certainly, if you mix in monero, defi, otc-trades and -there they are- "corrupt bankers", crypto as a whole can turn black money into white, circumvent blockades, fund terrorism and whatnot. But hardly easier or simpler than paper-money, gold, and corrupt bankers already can.
this is an awesome rec thank you
Have been building agents for past 2 years, my tl;dr is that:

Agents are Interfaces, Not Implementations

The current zeitgeist seems to think of agents as passthrough agents: e.g. a lite wrapper around a core that's almost 100% a LLM.

The most effective agents I've seen, and have built, are largely traditional software engineering with a sprinkling of LLM calls for "LLM hard" problems. LLM hard problems are problems that can ONLY be solved by application of an LLM (creative writing, text synthesis, intelligent decision making). Leave all the problems that are amenable to decades of software engineering best practice to good old deterministic code.

I've been calling system like this "Transitional Software Design." That is, they're mostly a traditional software application under the hood (deterministic, well structured code, separation of concerns) with judicious use of LLMs where required.

Ultimately, users care about what the agent does, not how it does it.

The biggest differentiator I've seen between agents that work and get adoption, and those that are eternally in a demo phase, is related to the cardinality of the state space the agent is operating in. Too many folks try and "boil the ocean" and try and implement a generic purpose capability: e.g. Generate Python code to do something, or synthesizing SQL based on natural language.

The projects I've seen that work really focus on reducing the state space of agent decision making down to the smallest possible set that delivers user value.

e.g. Rather than generating arbitrary SQL, work out a set of ~20 SQL templates that are hyper-specific to the business problem you're solving. Parameterize them with the options for select, filter, group by, order by, and the subset of aggregate operations that are relevant. Then let the agent chose the right template + parameters from a relatively small finite set of options.

^^^ the delta in agent quality between "boiling the ocean" vs "agent's free choice over a small state space" is night and day. It lets you deploy early, deliver value, and start getting user feedback.

Building Transitional Software Systems:

1. Deeply understand the domain and CUJs,
2. Segment out the system into "problems that traditional software is good at solving" and "LLM-hard problems",
3. For the LLM hard problems, work out the smallest possible state space of decision making,
4. Build the system, and get users using it,
5. Gradually expand the state space as feedback flows in from users.
This is by far the most practical piece of writing I've seen on the subject of "agents" - it includes actionable definitions, then splits most of the value out into "workflows" and describes those in depth with example applications.

There's also a cookbook with useful code examples: https://github.com/anthropics/anthropic-cookbook/tree/main/p...

Blogged about this here: https://simonwillison.net/2024/Dec/20/building-effective-age...
I still use SUBST with my team so we all have our source code on P:\ which can be mapped to wherever they want it to be. This helps keep Visual Studio object files and project includes pointing to the same place, especially when mistakes are made (they should be relative paths but things happen).

It is run from a registry key upon bootup.
Doing that is what installing solar is

So you’re assuming the big competition for home solar is… home solar but ignoring what makes home solar expensive (permits, electricians, tariffs etc panels are already shockingly cheap). Installing solar in 15 years also means you’ve lost 15 years of cheap solar power and are buying panels after inflation, waiting just hasn’t seen instillation costs drop for a while.

But you’re also wildly mistaken about the rest, it’s not actually 47% or now 47.1% efficient when placed outside. Panels get more efficient as extreme levels of light so people going after records create wildly irrelevant numbers as a dick measuring contest.

Further the day someone invents 60% efficient panels isn’t the day we put those suckers into mass production we hit 40% in 2006, but they are nowhere near commercially viable for home installations. We might see widespread use of 60% efficient panels long after we’re dead, but that’s not exactly relevant for these calculations.
A Raycaster in Bash
Of course it's a given unless you want to invoke supernatural causes the human brain is a collection of cells with electro-chemical connections that if fully reconstructed either physically or virtually would necessarily need to represent the original person's brain. Therefore with sufficient intelligence it would be possible to engineer technology that would be able to do that reconstruction without even having to go to the atomic level, which we also have a near full understanding of already.
But surely it’s Labour’s fault anyway. Damn socialists.
No, it’s in the millions.
It's great for transferring ransoms. Basically a criminal's dream coming true.
LLMs don't make up identical resumes twice. For example, the second position on both resumes has this description: "Worked on first class video conferencing platform for qualitative research using Typescript, Go and React.js."

What are the odds that GPT makes up that same copy for two different users?

Re: calling them -- There is no phone number listed on either resume! Also makes me suspicious this is a scam...
Low-Level Guidance Parser
The defining feature of crypto - decentralized, irreversible, no "higher power" you can go to in order to get your money back - turns out to be the thing that burns people ALL the time.
I’m still not quite sure what FujiNet is and how it is the last peripheral for your vintage devices. Gives me Zombo.com vibes.

(1) https://zombo.com/
What a disaster for ARM. Qualcomm building out new chips targeting the pc market should have been a victory lap for ARM, not the source of a legal battle with their largest customer. Now potential customers might be a little more wary of ARMs licensing practices compared to the free RISC-V ISA.
Dockside: Self-Hosted GitHub Codespaces
For anyone who wants a lo-fi solution to subscribing to a youtube channel without having to deal with the youtube.com website, every channel has a built-in Atom feed that contains an entry for each video. My pipeline for watching subscribed channels is to just run a feed reader in one terminal (newsboat) and then copy-paste new videos from that into an adjacent terminal running a loop that runs `yt-dlp` on each pasted line.

You can find the feed URL by inspecting the HTML of the youtube.com/channel/.../videos page and searching for "rssUrl"; it'll look like `www.youtube.com/feeds/videos.xml?channel_id=UC...`

Downside: this feed will contain premieres, shorts and livestreams in addition to videos and AFAIK there's no way to filter those out. Depending on the channel, the title might make it obvious whether it's one of those.
Thanks, didn't catch that, still driving on the freeway but maybe not in heavy rain yet.
National Academies finds some benefits of moderate alcohol consumption
It's also worth keeping in mind just how many humans there are today compared to historical figures. If 90% of the population were to drop dead tomorrow for one reason or another - say, a combination of pandemic and side effects from the economic disruption that it would cause, like starvation - Earth would still have 800 million people alive. Last time there were that many was less than 300 years ago.

Now consider how fast it would rebound given that those remaining 800 million would rebound, given that they'd have vastly more knowledge and resources (even just having access to pre-mined materials alone is a massive boost!).
I can appreciate the idle curiosity, but for your consideration any call made to a presumed-fake candidate is an opportunity expenditure that could go to an actual candidate. As someone who never even got rejection emails from a bunch of companies from the whoishiring thread, I'd prefer if that precious time on Earth were spent accepting or rejecting candidates
Gaza was already starving before the war (Israel counted calories to deter stockpiling) and there is nowhere that is away from the "front".

Together with the deduction of almost every hospital I would expect indirect deaths to be significantly more than half of direct deaths
> major religion has some semblance of a 1:1 rule

More of a one-to-many rule. Only one side is expected to be fully monogamous.

It's long been socially acceptable for men to have mistresses or even multiple separate families, so long as they had the resources to take care of them all. And the social faux pas of merely sleeping with other women is very recent.
Especially since it can build up in the body. Kind of like some vitamins you can have 1000% of the RDA because they are very water-soluble and go through like a sieve anyway, but others get toxic much quicker because they are fat soluble and get stored in fat cells for the long haul.
I see plenty of 4K video on YouTube in Firefox.
"Solver" is `meta-llama/Llama-3.2-1B-Instruct` (1B model, and they use 3B for another experiment), and verifier is `RLHFlow/Llama3.1-8B-PRM-Deepseek-Data`.

See https://github.com/huggingface/search-and-learn/blob/b3375f8... and https://github.com/huggingface/search-and-learn/blob/b3375f8...

In the original paper, they use PaLM 2-S* as "solver" and its fine-tune as "verifier".