skysight-inc/HackerNews huggingface dataset:
The synchros in the 914 transmission were the same as in the 911 (and other Porsches.) Not like the brass ring and cone that is more common (and used in VW transmissions.)

You're probably right about the half shafts. However if I search for parts, all of the ones I can find show a 6 bolt CV joint for the 914.
You're not wrong, I'm not sure why that date is wrong ATM haha.
While I agree that doing poorly is unlikely to help them long term, I also understand that the situation they're in is probably frustrating.

They've likely done several other shows where they were told that ignoring their distaste and working hard would serve them well in the future, then the only options provided were more shows where they'd have to ignore their distaste and work hard. Eventually you'll try to cram your ideas into a project you aren't terribly fond of.

To illustrate my point, while it's probably not a comprehensive list, I took a look at this https://en.wikipedia.org/wiki/List_of_fantasy_television_pro... and from what I can tell there is one fantasy show not based on an existing franchise airing after 2020. The Outpost on CW.
We develop and sell a visual Diagramming library, not an SPA framework. There is no overlap.
You’re missing my original point which is about continued, ongoing robustness that works in the low data regime and allows pilots/astronauts to make reasonable decisions in _completely novel_ situations (as just one example).

The networks we have are trained once and work efficiently for their training dataset. They are even robust to outliers in the distribution of that dataset. But they aren’t robust to surprises, unmentioned changes in assumptions/rules/patterns about the data.

Even reinforcement learning is still struggling with this as self-play effectively requires being able to run your dataset/simulation quickly enough to find new policies that work. Humans don’t even have time for that, much less access to a full running simulation of their environments. Although we do generate world models and there’s some work towards that I believe.

Again happy to be corrected.
Ok pretend I used the word "dedicated". Does it make what I said less valid?
Nim does as well. You can use the C++ backend and wrap a decent bit of C++. The imports aren’t automatic so you need to define the FFI, but you can call templates, implement virtual methods, call constructors, etc.

NimForUE takes advantage of this: https://youtu.be/Cdr4-cOsAWA
I've collected a half-dozen threads on Twitter from the ChatGPT subreddit of user complaints since March about the degraded quality of GPT outputs. I've noticed a huge drop in quality myself. A common (reasonable) response from some people was that the drop in quality was the result of perception anchoring, desensitization, or something unrelated to the overall performance of the model.

A new study by researchers Chen, Zaharia, and Zou at Stanford and UC Berkley now confirms that these perceived degradations are quantifiable and significant between the different versions of the LLMs (March and June 2023). They find:

"For GPT-4, the percentage of [code] generations that are directly executable dropped from 52.0% in March to 10.0% in June. The drop was also large for GPT-3.5 (from 22.0% to 2.0%)." (!!!)

For sensitive questions: "An example query and responses of GPT-4 and GPT-3.5 at different dates. In March, GPT-4 and GPT-3.5 were verbose and gave detailed explanation for why it did not answer the query. In June, they simply said sorry."

"GPT-4 (March 2023) was very good at identifying prime numbers (accuracy 97.6%) but GPT-4 (June 2023) was very poor on these same questions (accuracy 2.4%). Interestingly GPT-3.5 (June 2023) was much better than GPT-3.5 (March 2023) in this task."

I think these underline that (a) the decline in quality was not just a pure perception thing, and (b) that we need a way to track model performance over time. Building a business on these APIs without controlling for performance drift is high-risk.

You can read a summary of the study at the link provided and view the full paper and Github as well.
230x8 MoE.
Radix Economy
> The Haber-Bosch process enabled WW1 and WW2.

Then he probably helped bring freedom to billions of people as well.

WWI and WWII broke the back of European power and made it untenable for them to hold onto their colonies.

Right before the outbreak of WWI, Europe as a whole controlled the majority of Africa, India, and had carved of China into zones of influence.

WWI and the WWII broke them psychologically, financially, and demographically.
Wait the I in IoT was internet....is that...artificial internet?
I've considered a charge back over a similar egregious experience. The problem with that is that you risk getting banned from Airbnb, which seems like an OK result given you probably never want to use them again, until you consider that in some markets they are the only or main provider of non-hotel stays and you just might need that at some point when hotels are booked out. It's frustrating.
I wish they had made orders available here in Taiwan since it is made here. Would buy one right now. Of course, with the current interest, they don't need extra markets to saturate their order book, and I am not keen to order to another country and ship it back here, so gonna remain Frameworkless for a while.

Super fascinating to read the user experiences so far, really excited and cheering them on!
The market is a reflection of opinion. Everything else is what you are told is someones opinion.
You can use GitHub code spaces (and competitors, incl. ones from google and open source ones) where you access VSCode in-browser and the entirety of the FS is on the VM - nothing local. They're quite widely available today.

They work great in the (strong-internet availability) environments I've used them.

Also, as an ex-googler, I can attest that google's implementation was enough that I never missed local development.
That context is more narrow than I suggested.
I use a Skull Canyon as my daily driver for programming and honestly I wouldn't have selected another machine.
Once you get beyond a certain amount of wealth, some things are more important than money. I don't mean people become altruistic, just that they pursue more than a number.
Like an sshfs mount? Those are painfully slow and unreliable.
That system had a flap in an air passage that metered air flow. If the car backfired, the flap could change position relative to the indication that went to the control unit and that threw off the air/fuel mixture. They were also more sensitive to air leaks than a carbureted car.
I don't know if it's "obvious" - the United States has at least two large enemies that have the means, motive, and opportunity to do this - picking between them is difficult.

One thing's for sure, though - it's pretty unreasonable to automatically discount the possibility of foreign influence, as others in this thread are doing.
Outputting that on the API is kinda dumb, but yeah, hardly something worth publishing.
>> It's just ADHD, there's not really a workflow reason that I have 1000+ tabs open. It just kind of happens.

If you use the word "just" then it's a you issue. Close the tabs and you'll be happier.
About using type annotations in Python: Do you get any push back from your team? I do. "Oh, it clutters the code." I don't know how to reply. And, they continue to write complex code without type annotations. It is hard to reason about. It is a never ending battle with people who come from weaker typed language. They struggle to see the value of stricter types.
Nobody has any evidence here. I'm saying that the incentives are such that the null hypothesis should be the opposite of what you think.
Just came across a similar name "Glycera" which is a blood worm. Interesting...

https://en.wikipedia.org/wiki/Glycera_(annelid)
Swift just added C++ interop in version 5.9. https://forums.swift.org/t/c-interoperability-in-swift-5-9/6...
When GPT's details were allegedly leaked [0] I read about the mixture of experts and wondered if this explains my recent distaste for GPT. Lately I have been using Anthropic's offering (mainly since it is free and has a 100k context window) and I've been surprised at just how well it reasons and understands what I'm asking. It responds like GPT 4 used to, and speaks to me with nuance I haven't seen since Bing released their original chatbot. I still find GPT 4 better if I want to fine-tune the model and make it adopt a persona-- Claude will almost always refuse.

Either way, I'm a bit confused with the way GPT 4 has been changing over time. It seems the team made significant changes to the model quality in favor of performance. Whether accuracy or performance is more important is up for debate, but something is clearly changing.

[0] https://archive.ph/2RQ8X
And like always, Sweden's is much nicer...
Not to negate the amazing accomplishments here but, is saved the right word? After all they were saved but only to later die of something else. So prolonged might be more accurate although then you are forced to consider if that’s a good or bad thing. Because if you prolong someone’s life and they have a poor standard of living is it even worthwhile or are you just dragging out their suffering? I mean I see the most successful businessmen in history spending billions on rockets rather than buying mosquito nets to save lives by the dollar and I have to wonder if they haven’t come to the same conclusion. That is; the quality of the experience is as important as the length.
Those kind of tax and price variations are quite common in the U.S. too.

Some examples: Bread from bakery plus lunchmeat from deli = taxed at grocery rate, but a shrinkwrapped sandwich using the same bread and lunchmeat = taxed at the higher 'prepared meal' rate (because that's a luxury).

One candy bar is taxed at the grocery rate, because it includes wheat in the ingredients, while another is taxed at the junk food rate because it doesn't. They're both mostly chocolate and nougat, but one has some wheat, so it's legally considered a cereal.

And of course all of that varies from town to town and state to state, and sometimes even in different neighborhoods within the same town. And of course, some towns cross those political boundaries. I used to live just down the street from a shopping center where the tax rates were different depending on which store you were in (east side of the mall vs west side of the mall).

That's all before you get to sales and specials and membership discounts and such. Oh, and tax-exempt shoppers (because they work for a charity or something).

People always make fun of the U.S. for not just putting the total final price (tax included) on the shelf but the reality is, we can't because quite often we just can't know what it will be until you checkout.

For something that seems so simple and everyday, it really is bafflingly complex.
Funny that there's a worm by Glycera....

https://news.ycombinator.com/item?id=36781660
Honest enshittification is good but rare. Like a cloud telling you what specific CPU SKU is in the hardware (not just 1 vcore).

They should say what you are paying for in terms of technicals, either spill the beans on the architecture or have some SLAs on how good the thing is.
At the same time, it’s not much to get surprised or worked up about. The marketing copy on any given PC OEM website for any particular product has always been complete jibberish.

These are companies running on extremely thin margins that have minimal marketing budgets.
A Story of a Stone
>Keep in mind my point was that the political emphasis on race is at a high point.

A high point compared to what? The 90s? You have some recency bias in your understanding of this topic.

> agree that if activist put a lot of emphasis on this and make it more visible that this feeling will be stronger. That doesn't negate the point above, it supports it.

You didn't make a point, you said something was 'interesting' which I commented on because its really not, it just makes sense.

>Sure, people can argue over how productive the additional attention is for actually resolving issues, but that's not what I'm trying to do. I merely staying that attention is very high right now

I think you're mostly trying to backtrack a hot take
The plan is to use origami techniques to fold the H1-B Visa into an affordable home in Canada.
Just because two phenomena are described by similar equations doesn't mean they are driven by the same physical mechanism. Wave equations are ubiquitous in physics. Sound waves. Water waves. There is no connection between any of these and QM.
Good point. SIMD routines!
Embedded Generative AI Will Power Game Characters
We just had some major posts on Reddit (on /r/canadahousing) demanding that our housing minister resign so that someone more competent might take over. I am trying to see if a group effort can be done by Canadians and related parties in tackling the Canada housing crisis . Personally, I have applied for some funding to get some relief for 500-1000 Canadians if not more with things such as grocery. But if you are interested in helping out with our billboard campaign check out: https://gofund.me/704edbaa
OpenGroup manages that social construct, the government stuff is just there to protect against misidentification and encroachment. The standards for Unix, Sockets, and LDAP were all transferred to OpenGroup to manage and they've done so.
We’re all going to die eventually, but hopefully not today.
It's unrelated to the article, and blatantly violates the HN guidelines:

> Eschew flamebait. Avoid generic tangents. Omit internet tropes.

https://news.ycombinator.com/newsguidelines.html

I flagged it - I suggest you do, too.
It's not obvious that companiese are actually facing consequences. Nothing in the article suggests that office companies are doing poorly, just that there is a correlation between increasing head count and openness to wfh. Dunno if you've been paying attention, but every well established company has been very conservative in hiring the past year. These numbers are not particularly meaningful.
What enables this?

There's a huge gap between GPT-3.5 and 4, put there by a massive amount of money, from my understanding.

To compete, with open source projects being less well funded, I would assume that orders of magnitude improvements in training cost would be required. What do you see driving this, and who do you see paying for it?

If Meta, or anyone else, gets something that beats GPT-4, I would naively assume they would monetize it. If someopen source effort manages to beat GPT-4, then I assume some well funded, profit seeking, entity will dump orders of magnitude more money into whatever enabled the open source offerings to compete.

I don't think GPT-4 is the pinnacle of OpenAI, or that their funding will run dry, so they shouldn't be viewed as a static entity.
Cython 3 also uses python type annotaions to infer C types now too, so if you add python types you might see surprising cython speedups.
Interesting. I feel much better having some kind of explicit indicator, especially with numeric types.
> fewer

Thank you for getting this correct. I have been seeing everyone get this mixed up with "less" lately and it has been driving me insane. it's like almost everyone forgot how to use these words at the same time.
And the Taliban is back in power now, with a population that is more impoverished [1] than before the US invasion. So the US brought 20 years of war and suffering [2] and then left the country to resume under the same government they originally overthrew but now worse off.

[1] > The United States war in Afghanistan continues destroying lives due to the war-induced breakdown of the economy, public health, security, and infrastructure. Afghans have been massively improverished by the conflict. 92% of the population faces some level of food insecurity and 3 million children are at risk of acute malnutrition. Some regions are currently facing famine. At least half the population is living on less than $1.90 per day.

https://watson.brown.edu/costsofwar/costs/human/civilians/af...

[2] https://theintercept.com/2021/08/26/afghanistan-america-fail...
Fascinating. Thanks for sharing. While Calhoun comments seem crass, they have significant parallel in contemporary politics.
Famously, some of the image models were so overtrained they could still yield impressive results if the colors were removed.
It's not a "mentality" - it's an opinion born from actual experience with broken Linux setups. I can find you literally hundreds of HN comments about all sorts of ways that their Linuxen have broken, and I can name a few dozen (possibly up to a hundred) myself.
CEO of crypto exchange EminiFX sentenced to 9 years for $240M fraud
We’ll see what the net savings in human hours really are when that experiment concludes
Why Open-Source a Model?
With one of the third party cases, such as those from Akasa, they are nice inexpensive fanless machines with excellent Linux support and low power consumption.
In general the default LLM models are too big to run on a consumer GPU without quantization.

That means additional steps or alternative downloads are needed.

Also generative graphics models are about 6 months further advanced than generative text models because Stable Diffusion came out before Llama (Llama being the first "useful" smaller-large-language-model)
Great resource, and the palette and graphics are clean and simple, one suggestion I have and I don't know if it is public info would be to add a calendar with the turistfarten days and manufacturer days, race testing etc...
Could be funny to make a cheeky Nring lap timer
Suprised they don't already do this.

In BigCo land there are multiple attack vectors to the top execs.

I was literally in a convo today where our CFO and his EA are now virtually unreachable due to this type of stuff. Our IT team gave everyone burner phones above a certain grade level.

Strange days!
The only thing I don't like is your render distance is drastically limited. Under Linux I can only set it to 12 (I believe), whereas in Windows I can go all the way out to 51 if I so choose (which is useful when looking for end cities).
Good thing I'm not offering anecdots ;)
I understand, but I feel like nucs always end up at this weird, “I’m going to drop 200 on ram, 200 on a ssd and have a 700-900 dollar thing that has no second hand value and really isn’t that powerful”. I remember throttling being an issue as well. Add a custom heat sink and some thermal paste? (50-100 more..)

It just feels like you’re paper cutting your way into a more expensive system. Not sure on small form factor pcs otherwise though. Hp z2 minis always seemed neat and typically have a promo code that works with a bare config you can bring your own ram/disk + Linux.
Sigh...yes. I have had to resort to saying "cryptography, as in encryption", because if someone says "he's a crypto SME" there's That Guy (virtually always a guy) who wants to hijack whatever is going on to harrass me as to why are we such Luddites that we aren't telling our regulators to pound sand and jump in feet first to whatever the latest Pons...err...sure bet coin opportunity is. "Probably the potential jail time" isn't a deterrent.
Counterintuitive to me! I would imagine that while people might get stuck with Java syntax, Python would make it easier, and that Logo would just make it harder when they found out most languages aren't like it...
Way to generalise people. Bravo.
enjoy functions as first class objects

I roll my eyes every time I hear this trope. What do Python functions have that Java functions do not have? To the average developer, a lambda that maps to the Runnable interface _is_ a first class object.

try to avoid using an IDE

Ugh. More purism. So now I need memorize more things? No thanks. The IDE can do that for me. Every trivial fact that I need to memorize takes a space in my mind that could be used for more valuable information, including other programming languages.
It is a funny idea. What will you do if you receive a fine?
Could it be the case that many of these benchmarks are just learning this material included in their parameters?
Looking at the bandwidth numbers a PCIe 3 x4 slot (like those used for M.2 slots) should be good for 4x SATA 3 ports, no "serialization" required.

There's this https://www.tomshardware.com/news/silverstone-turns-one-m2-s... but it's only x2 and theoretically a bottleneck.
Or OpenAI can stop being stupid and adopt LLaMA-like tokenization, which special cases numbers and tokenize them into individual digits.
You can take the same approach as browsers: block the guest from using high-precision timing functions.
This is really a best case outcome. NUCs are great but Intel is sort of a lousy manufacturer to get PC support from, and ASUS is already on the premium end of consumer PC brands.
I don't have any answers to your questions, but have you checked the dmesg output when you plug it in? That should tell you something about how the system is seeing the device and what drivers are being loaded.
Why Are Emulators Legal? Dolphin vs. Nintendo and the Fate of Emulation [video]
That are many languages that can run on the JVM.
Dominos is card/internet only

Where you are. You are not everywhere.

The Dominos down the street from me takes cash.

In a growing number of cities, it's illegal for a retail business to not take cash.
Yes. Over the last few months I've noticed increasingly political content from accounts I do not and would not follow. My feed used to be mostly upbeat, a mix of technical posts, lighthearted humor, and the occasional news story. News on my feed came from real people, not news accounts, as I've blocked just about every corporation on the app.

What I've noticed lately is more fringe personalities coming up on my feed, and several times I went into the replies just to see if anyone I followed was interacting with the post. Many times, the tweet was recommended just because Elon Musk replied to it. I used to follow him so it makes sense, but I am confused for two reasons: one, this happened far less in the past, and two, Twitter used to IDENTIFY why a tweet showed up in my timeline with a label (ex: "Elon musk replied to this") but those labels do not show up anymore.

Twitter used to be a place for real people and real news. It's becoming more and more of an echo chamber every day.
Have you seen the prices of RAM and SSDs lately? You can get name brand 32gb of DDR5 and a 1 TB NVME drive for a little over $100. Apple is literally charging 1000% markup on these upgrades.
> You just pass by value, return by value everywhere, all day long

This is actually how I've been writing PHP programs for years, passing arrays around like I just don't care.[3]

I think the PHP interpreter is smart enough to actually only copy-on-write, but I admit I've never profiled these programs. But anecdotally, I've done some pretty complex stuff[1] this way and it never caused noticeable performance problems.

[1] Complex as in 'wow I sure am making the computer process a lot of data, parse some DSL character-by-character, dynamically generate SQL and massage the results into some arbitrary structure for EACH PAGE LOAD, geez'. Not as in 'print hello world, but using Laravel', which somehow manages to be about 30x as computationally expensive[2].

[2] quip about how 'web artisans' spend the time between page loads brewing coffee using their CPU as a heating source while thinking deep thoughts. But I digress.

[3] Back in the PHP 4 days, objects, too, acted as if stored in variables rather than just pointed-to by them. Not that anyone expected language design excellence from Rasmus et al, but strikes me as a missed opportunity when they changed object variables to having reference semantics to have 'value, variable reference, or pointer-to-value' be a property of variables orthogonal to the type of value they store/reference. e.g.

$a = $b; // Copy $b's value into $a
$a = &$b; // $a and $b are now the same variable
$a = *$b; // $a points to the same object as $b, but unlike $a = &$b, the variables themselves are not linked