skysight-inc/HackerNews huggingface dataset:
My belief is that software engineering benchmarks are still a poor proxy for performance on real world software engineers tasks, and that there's a decent chance a new model might saturate a benchmark while being kind of underwhelming.

A simple example, if a human scored 50% on SWE-bench verified, it's fair to say that this person is a very competent software engineer. Popular frontier models like Claude Sonnet and OpenAI's o3 can score 50% on SWE-bench, and can score even higher with special tooling, but compared to an actual human software engineer can't seem to competently perform a lot of programming tasks on their own.

Although, if a model did consistently score more than 99% on various software engineering benchmarks that might be different, as it would imply a very real sense of competence. That's a pretty substantial if though. To my knowledge there isn't a single model out there that can consistently score more than 99% on any given benchmark. The o1 model scored very well on certain MMLU categories, 98.1% on college mathematics, but I'm not sure if this result will continue to hold on a similar benchmark evaluating college-level undergraduate mathematics.

Also, something else to consider, we take for granted how often we're able to perform tasks with more than 99% accuracy and how quickly things would fall apart if this weren't the case. If the average human driver was only able to make an accident-free trip only 99% of the time that would imply that they'd get in a wreck every 100th time they drive their car.

Granted, software engineering might be the exception to this rule, but then again, depends on what you're measuring. When it comes to more-or-less discrete steps, we're arguably pretty good at writing programs that capture our intent, and I could foresee an AI that only gets this right 99% of the time to be a pain in the ass to work with. If a feature ticket requires 10 different sub-tasks to be done correctly, then an AI that can do each sub-task correctly 99% of the time has a roughly 90% chance of doing the whole feature ticket correctly, which is still good but compounded over many feature tickets could be exhausting to deal with. An AI that has only a 90% chance of doing each sub-task correctly would almost certainly fail to implement this hypothetical feature ticket.

Mind you, statistics is not my domain so if there are any errors in my logic please correct me.
https://www.tesla.com/model3 says "From $29,9901"
My wife and I experienced this when my father died. We visited him hours before his death. He looked up at my wife, smiled and said "Mother, you came!" For the next while she sat beside him, rubbed his brow and engaged in small talk as his mother. When he fell asleep we left. He died during the night...
What are things you like & don't like about Hugo?
Except if you write code that wastes CPU cycles. It's not like Rust optimises your code, is it?

I would think that the main cause for wasted CPU cycles is the code written by the developer, not the language.
This can't be Micro-Fit 3.0, those are only sized to accept up to 18AWG. At least, with hand crimp tooling, and that's dicey enough that I'd be amazed if Molex allowed anything larger any other way. The hand crimper for 18AWG is separate from the other tools in the series, very expensive, and a little bit quirky. Even 18AWG is pushing it with these terminals.

This has to be some other series.
Multiple Pops Down for Days: Is Path.net Circling the Drain?
As one HNer aptly put it: coding is to SWE as cutting is to surgery.
comparing a jeep to other off road vehicles is not an equal comparison. sure there are other off road capable vehicles but the approach and departure angles, solid axles, disconnecting sway bar, etc.

a tacoma/colorado is not equivalent to a gladiator or wrangler.
So what is tslas new story going to be at earnings.
As a friend of mine at Meta said, "It's ridiculous. If you're good enough to build a team full of high performers then you've inadvertently screwed your team."
Unfortunately, qBraid cannot help with the real-time latency. For that matter, I don't think anyone is aiming for get better latency for these calculations. The calculations that people have been focusing on, to run on a quantum computer are where quantum computers could provide a potential exponential speedup (e.g. quantum chemistry simulation, optimization problems, etc.), so, that big improvement is what people care about and none of those use cases, require low latency. In fact, IBM might be the best experience you might get anyway.

What you did was a cool experiment, but, given our current understanding of quantum computing hardware will not scale. Random number generation has to be incredibly cheap and I remember encountering a few startups in the past that used photonics to generate random numbers.
What made you go for Ghost?
I think 60 days is excessive depending on your prior knowledge. If you understand voltage current and resistance, you can read the electrical code book in a day. Most of it will be irrelevant. Home wiring is almost entirely outlets, junction boxes, and running Romex. You can teach someone to do 95% of it in a day.

It's the edge cases that are time consuming to learn. Understanding each case that could come up on different types of builds, in different scenarios, is an important skill to be a proficient electrician that can walk onto a unknown job site, complete it, and leave at the end of the day. It makes sense if you are running commercial job sites where time is money. It makes sense if there is a failure or upgrade needed on an operational structure.

If someone is smart and time is less critical, it is only moderately slower to learn the edge cases as they come up.

I did the gas, electricity, and plumbing install for my Mom's kitchen, and I did it to the State building code. I did it in one week and with no prior training.

In a lot of ways, the certification process for contractors mirrors that of our white collar workers. Someone might spend 4 years getting a computer engineering degree, learn a dozen languages, study English and art, only to code basic tasks in CSS.

Even simpler, barbers don't really need a 1000 hours of certified coursework to do a buzz cut, or even your 50 most common haircuts.
Entry level Dolphins cost $20.5k in Brazil (R$118k).
That was for all of Michigan though, not Ann Arbor.
NOAA is fantastic, I was alpine climbing in the very bottom of south america near El Chalten and NOAA is pretty much the only place to get a reliable forecast down there. Fantastic service.
And in Singapore it’s US$120k. Not much more than Tesla or Mercedes etc
There's different cars for different needs. F150 is the best selling vehicle in the US even though there are cheaper pick ups and cars in general.

There is alot if variety for cars. The US market can't be the only market keeping every European and Asian car manufacturer in business.
There’s a poison called Rat-X that only affects rodents. It will affect squirrels though.
https://lowendtalk.com/discussion/202273/major-path-net-outa...
Its all about milking Americans for more money.

Without all the trade restrictions, you could buy a BYD EV for 10k. It's not the greatest car ever, but it would be a cool city car. Naw, better go and pay 40k for a worse American version.

Temu is getting basically banned. It's not enough I pay around 40% of my income on in taxes and healthcare insurance, I now much pay higher prices for the same stuff on Amazon.
Musk seems significantly more unhinged today than he did nine months ago.
Show HN: TokenFlow – Visualize LLM inference speed
How fast are your favorite LLMs? I recently saw a Reddit post where someone was able to get a distilled version of Deepseek R1 running on a Raspberry Pi. It could generate output at a whopping 1.97 tokens per second. That sounds slow. Is that even usable? I don’t know!

Meanwhile, Mistral announced that their Le Chat platform can output tokens at 1,100 per second! That sounds pretty fast? How fast? I don’t know!

So, that’s why I put together TokenFlow. It’s a (very!) simple webpage that lets you see the (theoretical) speed of different LLMs in action. You can select from a few preset models / services or enter a custom speed in tokens per second. You can then watch it spit out tokens in real time, showing you exactly how fast a given inference speed is and how it impacts user experience.

Check it out: https://dave.ly/tokenflow/

Github: https://github.com/daveschumaker/tokenflow
Advice from Doug Mcilroy (1964)
My comment was not directed at the blog but at the person I responded to.
Isn’t that including tax breaks? Yes after checking the cheapest is $42k the advertised price includes 7500 tax break and 5000 in gas savings.
All those telecom companies have also been infiltrated by China RECENTLY, and they don't even know how long or how badly, AIUI.

Good point though. My current cars drive just fine without internet - I would hope future cars would continue to do so, even if GPS doesn't work, can't find a charging station, etc. Otherwise, I'll be stuck with gas cars until the day they take my license..
In fact, the tariffs on BYD cars were imposed by the Biden administration.
Can you in any way separate in your mind the idea of the USA as a nation of 300,000,000 people, who need jobs and who all benefit from having safe and good quality cars, from the trolling actions of a few politicians?

With statements like yours, it feels like the left is rooting for the most catastrophic outcomes possible for that whole country, just to spite Trump. Even though we'd all lose and Trump wouldn't be affected either way.
> Trump is a democratically elected offical; Musk is a billionaire. They are literally part of that class.

Trump is an extremely atypical democratically elected official, Musk is an extremely atypical billionaire, they are not part of that social class.

Maybe try to make an effort to understand what people are telling you rather than leaping to accusations and attempts at shaming. (That's assuming you actually want to understand, of course)
> They would need to figure out a way to prune the respective weights so that such material is not available, or risk legal fury.

You want to reliably train it away from outputting the undesired outputs, not keeping it ignorant about them.
GPUs often have weird sizes for optimal behavior and you have to depend on math-based optimizations never being applied to your code.

In my opinion, floating point shaders should be treated as a land of approximations.

You asked in another comment why /width*width isn't optimized out by the compiler. But it's changes just like that that will break an RNG!
Which is beside the point. The person I am answering to says that they don't believe in copyright laws, but still they use licenses like MIT. Why not using CC0 then?
Well at least we are protecting those automotive union jobs so that the average MSRP can top $50K.
> I think the overall mechanism used to make an electrical connection - which hasn't changed much in 30+ years - is probably due for a complete rethink.

There are tons of high-power connectors out there, and they look and work pretty much the same as the current ones (to the untrained eye). They are just more expensive.

Though at 40A+ you tend to see more "banana" type connectors, with a cylindrical piece that has slits cut in it to deform. Those can handle tons of current.
That was in May of last year. A lot has changed since then.
AMD and Intel copy Nvidia's VRAM lead.

The RTX 1060 came with 6GB of VRAM. Four generations later, the 5060 comes with only 2GB more.

I suspect NVidia does not want consumer cards to eat into those lucrative data centre profits?

The cost of 1GB of VRAM is $2.30 see https://www.dramexchange.com
The lesson seems to be that those who can keep attacking democracy again and again and again will eventually some day succeed in tearing things down.
Twilio's Authy shut down their desktop app, forcing millions of users to rely solely on their mobile app for two-factor authentication (2FA). This sudden change impacts everyone who chose Authy specifically for its desktop support - including developers, office workers, and anyone who needs quick access to 2FA codes while working on their computer. Now we're all forced to constantly reach for our phones, disrupting our workflow and productivity.

This sudden desktop shutdown proves Authy can and will remove features without warning. Yet they still refuse to provide any way to export our 2FA data. This means we're trapped - we can't switch to a different authenticator app that does offer desktop support without manually resetting 2FA on every single account we own. For many of us, that means hundreds of accounts. The situation is especially critical for teams and businesses who deployed Authy across their organization specifically for its desktop capability.

The desktop shutdown has to be our wake-up call. If Authy can remove critical features overnight, what else might they change? Without an export function, we have no backup plan and no way out. Every day we wait puts us at more risk.

Sign this petition to demand Authy add a basic export function so we can take control of our own security data.
> 23 May, 2024
> the basis that figuring out what IP went into what model output is just too hard, so instead they just agree to distribute it to whomever is on the New York Times best seller list at any given moment.

the long tail exists, and there will always be a threshold for payments due to rights holders.

it used to be (like 10 years ago so i might not remember the details exactly) that if you earned less than £1 from youtube performing music rights in a quarter then any money you earned was put back into the pot and redistributed to those earning over £1.

it just wasn’t worth the cost to keep track of £0.00001 earnings for all the rights holder in the bottom of the long tail each quarter, or to pay the bank fees when the eventually earn £0.01 that can be paid to them.

definitely not perfect, but at least some people were getting paid, instead of none.

also, youtube’s data they gave us was fairly shit (video title, url). so that didn’t help. nor did the lack of compute/data proc infrastructure/skills. was historically a manual spreadsheet job trying to work out who to cut.

i had to do it a few times :/

edit —

> The biggest AI companies could even run the enforcement cartels ala BMI/ASCAP to compute and collect royalties owed.

what could happen, for music at least, is the same thing that happened with youtube, mashed up with live music analogies.

a licensing negotiation with BMI/ASCAP/PRS, and maybe major publishers directly if they get frustrated with the PROs. then PROs will use sampling of other revenue streams to work out what the likely popular things are for AI. then divvy up whatever the lump sum is between the most popular songs.

we used to do this for live music. i had to generate the sampled dataset in microsoft access each year and weed out the all the radio stings.

sorry for costing you a million pounds that one year ed sheeran :/
> once the case law is set, I look forward to suing everyone that's ever trained a model for $300,000 PER WORK each time they ingested my code from GitHub

Didn't you already share it on GitHub royalty-free?
I've been involved in the Canadian cleantech venture scene since 2011, and General Fusion has been a particular frustration of mine for that entire time. Their pitch to VCs is like a particularly fragrant pitcher plant:

* We are in the last phases of doing a big experiment

* After the experiment, which will demonstrate net-gain fusion, our valuation will soar to infinity as we instantly render the entire energy industry obsolete

* Therefore, even if you think our chances of success are less than 1%, you must surely take the bet and invest now.

Amazingly they have managed to run this racket successfully and repeatedly for nearly two decades without demonstrating any material success, and still getting nice puff pieces like this one from the tech press.

I encourage any reader to check out their Glassdoor profile, which has a bunch of amusing quotes from disillusioned engineers, like "Management would struggle to deliver a pizza, let alone a billion dollar fusion reactor"

[0] https://www.glassdoor.ca/Reviews/Employee-Review-General-Fus...
It was a Lotus. I don't see how you can get that so badly wrong (they aren't even remotely similar) and claim to know the state of Tesla at that time very well.
> Not sure where you see Model 3 for just $30k, it starts at $40k in the USA

Probably from Tesla.com. It lists the long range RWD cash price as $29920 (in my state) unless you notice the checked checkbox that says "Include est. incentives of $7,500 and 5-year gas savings of $<whatever> for <your_state>" and uncheck it.

$whatever is $5000 for my state.
Having just bought an EV, the charging requirements seem to be exaggerated. I'm able to put a bit over 100km range into the car with an overnight charge (9 hours) from a standard power point that can deliver 2.4kW. I'm just using a portable 10A/240V plug-in charger: no fixed infrastructure.

My typical charging regime is: charge to 80%. Drive until the car has done 100km (down to ~50% capacity), then charge back up to 80%. If we go over 100km in a day the car drops below 50%. That can't be topped up in a single night, but it just means the charging accumulates over the next few nights until it's back to 80%. It works as long as the average is less than 100km per day and the peak is less than 300km per day.

Whilst it wouldn't do for a taxi, it's perfectly okay for the driving we do.
Yes, but most people don't want to pay the thousands of dollars to get an electrician to do a rewire.
That's because many new Windows PCs have Snapdragon ARM processors which are slower than x86 processors (but have much better battery life).
Interested, but don't want to accumulate another online account to apply.
I can't believe you just called a blogpost about eating rodent repellent "nonfiction reading"!
You might be right but consider these old talks:

Making Humans a Multiplanetary Species (2016)
https://www.youtube.com/watch?v=H7Uyfqi_TE8

Elon Musk talks Climate Change and Carbon Tax at the Sorbone 2015
https://youtu.be/sUFwwlmxRsw?t=978

It could be that he was just following the trends knowing there was money to be made, but I detect some real passion back in these videos.

Of course no motivation comes from a single source and there's some mix of philanthropy and money driving this, among other motivations.

Either way his tone has changed a lot, to say the least.
I think it’s obvious that free trade is good when it’s just a matter of competition between private citizens.

It is clearly problematic when it is weaponized to destroy a nation-state’s industrial output surreptitiously.
I remember seeing "weather.gov" on one of the monitors of a local tv news station. (they had kind of an open newsroom).

Weather.gov is a antidote from the add sponsored mess that weather websites are. Of course I suspect most people use phone apps now. But they have a lot of information on those pages, including weather discussions.

I follow this because my startup had to normalize for weather so we needed weather information. We went to "weatherunderground" (a play on a 60s era group perhaps?) and paid some money to get that weather data. They got bought by weathercompany/IBM. I had a developer account and could pull hourly weather information (I had grand plans to compare predictions vs actual) that got axed

weather.gov was always there. They don't have an api, but I love their weather graph which lets you look at a bunch of weather over the next couple days (and includes sunset and sunrise). Its very fast to read after a few days.

eg
https://forecast.weather.gov/MapClick.php?lat=42.3774&lon=-7...

Forecast discussion:
https://forecast.weather.gov/product.php?site=NWS&issuedby=b...
Well exactly my point. I'm "still" using an M1 Mac mini as my daily driver. 6W idle. In a desktop. It is crazy fast compared to the Intel Macs of the year before, but the writing was already on the wall: this is the new low-end, the entry level.

Still? It runs Baldur's Gate 3. Not smoothly, but it's playable. I don't have an M4 Pro Max Ultra Plus around to compare the apples to apples, but I'd expect both perf and perf per watt to be even better.

If one trillion dollar company can manage this, why not the other?
The classic Range Rover has a seat-adjustment control in the shape of a little seat. If you want your seat to lean back, you just grab the back of the miniature seat and push it in the appropriate direction; the motors in the actual seat move it to match.

While I'd have preferred a simple, bulletproof, nonmotorized seat, if one must automate, that's a great interface.
Hear me out: Duct Tape Flavored Doritos ®
Thank God we never do that here.

>Intricate, invisible webs, just like this one, link some of the world’s largest food companies and most popular brands to jobs performed by U.S. prisoners nationwide, according to a sweeping two-year AP investigation into prison labor that tied hundreds of millions of dollars’ worth of agricultural products to goods sold on the open market.

https://apnews.com/article/prison-to-plate-inmate-labor-inve...
That doesn't say that demand is low, but that adoption is slowing, which could reflect many factors, including high prices.
Looks like the source is here:
https://github.com/n0-computer/sendme
What kind of performance did you get out of that?
This is Apple appeasing Trump. They'll change it back if another branch of government successfully challenges the change.

Apple has made the business decision that this petty thing will appease Trump, and that appeasing him will help their bottom line. Gross.
Go to a community college and get your certifications.

The problem is that the wages are way low starting out. That's why young people tend to do it. If you can swing the first three or four years, then start your own business, you'll be good.
> which is a mix of leftist, right-wing and libertarian views

Says the NPC

> Now as others have also noticed,

Oh boy. "Others have noted".

Dude. Read it in front of a mirror.

You've defaulted to the last resource of the incompetent. No, not violence because you're incapable. Just the "I care about you".

Sod off.

Edit: 39 day troll account. Awesome.
A home-grown system - a local CMS on node/react to maintain my content in postgres, which I then read into Astro to produce a static HTML site, and host that on github pages.
> Young people accomplished major feats of achievement, and continue to do so.

Young people and major feats of achievement are not mutually exclusive things.
It changed at the US agency level.
Covid vaccines you disingenuous excuse of a person.

It's fine though. You lost. In every way.
They’re not coming to the US market because there’s a 100% tariff on Chinese EVs. Biden signed that last year.
Alexa; summarize my entire life into the smallest possible size, and then read it back to me. In monotone.
> why would anyone trust usa's word if any agreement/word/promise can be torn unilaterally?

I suspect we're going to see the answer to that question play out over the next several years.
The question is how do you train your LLMs to not 'cheat'?

Imagine you have an exam coming up, and the set of questions leaks - how do you prepare for the exam then?

Memorizing the test problems would be obviously problematic, but maybe practicing the problems that appear on the exam would be less so, or just giving extra attention to the topics that will come up would be even less like cheating.

The more honest approach you choose, the more indicative your training would be of exam results but everybody decides how much cheating they allow for themselves, which makes it a test of the honesty not the skill of the student.
You're absolutely right, Privacy Pass would definitely be helpful to consumer VPN users! :-)

We haven't implemented Privacy Pass yet as it would require a browser extension, but it is one of the technologies we keep an eye on!