skysight-inc/HackerNews huggingface dataset:
First of all, what's been a pain wasn't modules (their encapsulation wasn't turned on until JDK 16; all JDKs before that had the exact same runtime access permissions as JDK 8), but rather the lack of strong encapsulation which led to many libraries simply being non-portable, which then made the applications using them non-portable without their knowledge. People only thought modules were the cause because modules landed in JDK 9 and were the most famous feature in that release (even though their runtime encapsulation wasn't turned on until JDK 16), and JDK 9 happened to be one of the biggest releases ever, which changed many internals that libraries had hacked into. If virtual threads had landed in JDK 9 rather than modules, the result would have been similar. The only reason you didn't see a lot of breakages due to virtual threads is that they were introduced after strong encapsulation.

Second, the point about SecurityManager is a subtle one. SecurityManager was a complex security mechanism; this isn't. However, because integrity is a prerequisite to robust security, SM had to allow configuring integrity, but it was extremely hard to configure correctly. Now it's on by default.

If you have any sort of authentication/authorisation mechanism in your application (nothing to do with SecurityManager), then an accidental mistake in any dependency or transitive dependency may result in a vulnerability that would allow a remote attacker to bypass your security mechanism, because the attack surface area is the entire program.

Finally, the lack of integrity meant that some powerful performance optimisations can't be performed. Even simple constant-folding of Strings or final fields cannot be done because any library could unilaterally choose to mutate a String or a final.
> like what's it doing differently, is it just a matter of more training data or is there something more going on

Well, the model doesn't start with "GPT", so maybe they have come up with something better.
A Sony camcorder for me, one of those that flipped open with a screen. I would take that thing everywhere. It had quite a bit of storage and battery life, and recovering those videos years later was a joy.
No - in fact I habitually leave my speaker muted, to prevent programs like Slack from distracting (and likely irritating) my co-workers in the office.
Given that their compute-time vs accuracy charts labeled the compute time axis as logarithmic would worry me greatly about this aspect.
I cannot, in fact, attest that they are useful and smart. LLMs remain a fun toy for me, not something that actually produces useful results.
https://openai.com/index/introducing-openai-o1-preview/

> ChatGPT Plus and Team users will be able to access o1 models in ChatGPT starting today. Both o1-preview and o1-mini can be selected manually in the model picker, and at launch, weekly rate limits will be 30 messages for o1-preview and 50 for o1-mini. We are working to increase those rates and enable ChatGPT to automatically choose the right model for a given prompt.

Weekly? Holy crap, how expensive is it to run is this model?
> If anything this highlights how important Vienna was pre-WW1 and how much that status has changed.

The status might have changed, but the city remains beautiful, and is an amazing place to visit. It’s up there as one of my favourite places. The architecture, museums, galleries, food etc.
Astronomer here.
Sorry for criticism, but I think it would be much better if galaxies were shown in 3d. There are a lot of surveys providing redshifts, hence 3d positions. Then one would see the cosmic web, otherwise it looks a bit weird just projected on the sphere.
I can only imagine how many of these are sold, either as a bribe of some flavor, or literally just for hard cash because who doesn't want a get out of jail free card?

They settled this because they didn't want dirty laundry aired, but this should be on headlines in news outlets everywhere. This should outrage people. I want a corrupt cop card too, especially with their badge and name of the offender on them!

Years ago I read about this because they were being resold on ebay commonly, it disgusted me then, it still disgusts me now.

So much for equal rights for all.
Any plans to make a hot tweezer tip for this? It's hard to come by those for a reasonable price and that would be very appealing since I've often found myself needing to desolder surface-mount components.

I was initially skeptical about the cap vs. a traditional stand until I saw that it mounts to the side of the battery pack to double as a stand. I like that idea!

Also, is there documentation on the serial protocol used in case someone wanted to write a temperature control program that didn't rely on a webapp?
We considered having a sensor to detect when the cap is installed, but found that the accelerometer met that need. The default sleep timer is 30 seconds, but I set mine to 5 seconds and it works great.

All of the settings, including the temperature setting, are available in the web interface for free. The settings persist permanently on the iron so you can use it with any USB-C PD power source that you've already got. We worked hard to make sure that the iron works well standalone from the power station.
https://www.ifixit.com/fixhub/console
> Therefore, after weighing multiple factors including user experience, competitive advantage, and the option to pursue the chain of thought monitoring, we have decided not to show the raw chains of thought to users.

What? I agree people who typically use the free ChatGPT webapp won't care about raw chain-of-thoughts, but OpenAI is opening an API endpoint for the O1 model and downstream developers very very much care about chain-of-thoughts/the entire pipeline for debugging and refinement.

I suspect "competitive advantage" is the primary driver here, but that just gives competitors like Anthropic an oppertunity.
> Hopefully the open source community will figure out how to effectively match and replicate what OpenAI is doing.

No need for that, there is a Reflection 70B model that does the exact same thing - with chains of thought being separated from the "final answer" via custom 'tag' tokens.
"Open"AI. Should be ClosedAI instead.
"Open"AI is such a comically ironic name at this point.
The FDA approved these which feels big. Once Samsung and all the others follow this hearing aids will be much more affordable and accessible.
I have been deploying useful code from LLMs right and left over the last several months. They are a significant force accelerator for programmers if you know how to prompt them well.
Any interest in getting a steam deck?
Scala 3 has had union types for 4 years now. Scala can be used to do Haskell style pure FP, but with much better tooling. And it has the power of the JVM, you can fall back to Java libraries if you want.
Pinecil V2 is specified to be 88w -- less than 100, but not very far off.

And with a (simple) firmware change and the appropriate 28v EPR charger, it can do 140w.
You're pooh-poohing this idea a bit to harshly IMO. I almost wonder if your knowledge here may be out of date. You're aware that there's now evidence of the Americas' being populated over 20,000 years ago, right? Footprints in White Sands and now sloth bone carvings in Brazil. Far earlier than the Norse you mention.
> Using a very well designed library for your use case is not nonsense.

Could you recommend your personal favorite(s) of such libraries?
Enquiring minds want to know!
Thx.
Sounds great, but so does their "new flagship model that can reason across audio, vision, and text in real time" announced in May. [0]

[0] https://openai.com/index/hello-gpt-4o/
Is the reason a buck converter is required so that it can increase I? I = V/R, by increasing V we can increase I?
Wouldn't this introduce new economics into the LLM market?

I.e. if the "thinking loop" budget is parameterized, users might pay more (much more) to spend more compute on a particular question/prompt.
808 ELO was for GPT-4o.

I would suggest re-reading more carefully
it's funny that they have to debunk the "root is root, why would AMD patch this" that goes around every time there's a serious issue that allows guest-root escape from virtualized containers.

the same thing happened with the ryzenfall/masterkey exploit, where people were just in utter denial there was an actual exploit there, because root is root! People literally spent more time talking about who released it and their background image than the actual exploit. AMD obvious cannot have exploits, that's only an intel thing. /s

"alleged" flaws" (rolls eyes) https://old.reddit.com/r/Amd/comments/845w8e/alleged_amd_zen...

assassination attempt* https://old.reddit.com/r/hardware/comments/849paz/assassinat...

doxxing the researchers: https://old.reddit.com/r/hardware/comments/845xks/some_backg...

https://old.reddit.com/r/Amd/comments/84tftt/clarification_a...

https://old.reddit.com/r/Amd/comments/8589t2/cts_labs_clarif...

HN discussions were not much better, although tpacek is cool.

https://news.ycombinator.com/item?id=16576342

https://news.ycombinator.com/item?id=16576516

https://news.ycombinator.com/item?id=16597626
Is it? They talk about 10k attempts to reach gold medal status in the mathematics olympiad, but zero shot performance doesn't even place it in the upper 50th percentile.

Maybe I'm confused but 10k attempts on the same problem set would make anyone an expert in that topic? It's also weird that zero shot performance is so bad, but over a lot of attempts it seems to get correct answers? Or is it learning from previous attempts? No info given.
> -0.001

Should be -0.01 You have added an extra 0, but it's not the point. You can pick any V, but the bigger it is the more quantum like the correlation are.

>secret angle

Also called "phase" this is the thing there is to "see" : It has a definite value for a single experiment, but every time you do the experiment it has a different value. It behaves like a random variable and that's what allows you to replicate the behavior of what QM does by generating random numbers. That's the subtlety that makes it so that Bell's theorem don't apply.

>So this is a device that can measure the secret angle of the photon.

It uses the secret angle of the photon, to give you something observable, but doesn't leak info about the state. ("it mixes trajectory space" so that each trajectory behave the same, but trajectory are independent, each trajectory just cycle through all the possible hidden states (like the seeds of a linear congruential generator) ).

For a definite (monte-carlo) trajectory, the photon will be definitely absorbed, or not absorbed, (or maybe absorbed later), but the simulator has a state and knows unambiguously how to evolve it, you as an observer though will have to define measurements more ambiguously (due to Heisenberg uncertainty principle (but that's not the point here) )

One other way to see what we are trying to do is factorizing the QM integral.

In QM you have proba = integral( wavefunction ),

You introduce a random variable and condition on it by writing it as proba = integral( integral( wavefunction | hidden_state) dhidden_state )

The point being that you can be smart in the choice of the hidden_state such that the inner integral behaves classically : You push the quantum correlation to the outside integral.

If you want to calculate the probability, you use monte-carlo for the outside integral. And classical simulation for the inner one.

But once written in such a way, you realise that if you want to simulate a universe (like Nature does it), you don't have to simulate all trajectories : Any one will do, as they are all independent from each other.

From inside the universe because you don't have the initial phase, if you want to calculate the proba you have to do a monte-carlo.
Interesting thought but probably not likely.
Here are some other reviews! We'll be shipping on October 15 and you can try it out for yourself.

https://www.pcmag.com/news/ifixit-new-soldering-iron-power-s...

https://www.tomshardware.com/maker-stem/ifixit-fixhub-portab...

https://www.theverge.com/2024/9/12/24242497/ifixit-fixhub-us...

https://www.youtube.com/watch?v=30LOTlQ3Cc8

https://www.youtube.com/watch?v=_IRP2LCswHs
> The article isn't about breastfeeding at all

What? It's about breast milk, so breastfeeding seems at the very least highly relevant. Moreover, several parts of the article talk about breastfeeding in the context of babies and the benefits it provides them.
Do people see the new models in the web interface? Mine still shows the old models (I'm a paid subscriber).
Won't be surprised to see all these hand-picked results and extreme expectations to collapse under scenarios involving highly safety critical and complex demanding tasks requiring a definite focus on detail with lots of awareness, which what they haven't shown yet.

So let's not jump straight into conclusions with these hand-picked scenarios marketed to us and be very skeptical.

Not quite there yet with being able to replace truck drivers and pilots for self-autonomous navigation in transportation, aerospace or even mechanical engineering tasks, but it certainly has the capability in replacing both typical junior and senior software engineers in a world considering to do more with less software engineers needed.

But yet, the race to zero will surely bankrupt millions of startups along the way. Even if the monthly cost of this AI can easily be as much as a Bloomberg terminal to offset the hundreds of billions of dollars thrown into training it and costing the entire earth.
Ask HN: Is webdev getting complicated without results to show for it?
SPAs, SSR, typescript, bundlers, transpilers, jamstack, headless CMS, serverless adapters...

But where is all that complexity going? Most websites and web apps I encounter are no better than they were 10 years ago. Sure, they look better, but that's largely orthogonal. There's maybe a bit more interactivity but it's still basic CRUD most of the time. They break the same, sometimes even more.

It seems like chasing marginal improvements in dev and user experience leads to complexity which begets even more complexity.
The best single volume overview is this page-turner, which embraces Vienna and Paris, for math, science, philosophy, literature and art at the turn of the 20th century:

The First Moderns: Profiles in the Origins of Twentieth-Century Thought

William R. Everdell

https://www.goodreads.com/book/show/244346.The_First_Moderns
This new approach is showing:

1) The "bitter lesson" may not be true, and there is a fundamental limit to transformer intelligence.

2) The "bitter lesson" is true, and there just isn't enough data/compute/energy to train AGI.

All the cognition should be happening inside the transformer. Attention is all you need. The possible cognition and reasoning occurring "inside" in high dimensions is much more advanced than any possible cognition that you output into text tokens.

This feels like a sidequest/hack on what was otherwise a promising path to AGI.
How voters feel artificial intelligence will impact election integrity
It'd be interesting for sure if true. Gotta remember that this is a marketing post though, let's wait a few months and see if its actually true. Things are definitely interesting, wherever these techniques will get us AGI or not
This is something that people have toyed with to improve the quality of LLM responses. Often instructing the LLM to "think about" a problem before giving the answer will greatly improve the quality of response. For example, if you ask it how many letters are in the correctly spelled version of a misspelled word, it will first give the correct spelling, and then the number (which is often correct). But if you instruct it to only give the number the accuracy is greatly reduced.

I like the idea too that they turbocharged it by taking the limits off during the "thinking" state -- so if an LLM wants to think about horrible racist things or how to build bombs or other things that RLHF filters out that's fine so long as it isn't reflected in the final answer.
Again, the phone won't stop working. It will still do everything that it did the day you bought, and in many cases more. It will connect to any 2g/3g network that you subscribe to, and connect to any server that operates on the same protocols that existed on the last day it was supported.

You can't blame Apple that network and site providers don't continue to provide service, anymore than model T drivers can be upset that their local tire store doesn't stock tires for their car.

How is any company supposed to provide updates in perpetuity for technology advances that wasn't even planned at the time of purchase.

The fact that Apple has teams of developers providing free seamless updates to my iphone 11 from 6 years ago is a modern miracle. What other item in the market can you expect the maker to provide free maintenance and functional improvements for years after purchase?
Query limits: 30/week (50 for mini model). I wonder what the API pricing is.

(not a typo: that's PER WEEK)
Hm, I really need to study this more. The early claim that it requires "complicated float arithmetic" took me by surprise. I'm used to fixed-time-period sampling, so you can just do:

// Textbook version:
//average = alpha * new_value + (1-alpha)*average
// Which is equivalent to:
//average += (new_value - average)*alpha
// To get rid of the float, define w=1/alpha and make it an integer.
// If w is a power of 2 (try 8), this is just a shift.
average += (new_value - average) / w
Dang, I just payed out for Kagi Assistant.

Using Claude 3 Opus I noticed it performs <thinking> and <result> while browsing the web for me. I don't guess that's a change in the model for doing reasoning.
Rate limited to 30 messages per week for ChatGPT Plus subscribers at launch: https://openai.com/index/introducing-openai-o1-preview/
That’s just it though. Creaking empires would remain as would the politics and attitudes that led to the war and its flow into WW2.
Something else would start it. What would it be?
The correct metaphor is that 10,000 attempts would allow anyone to cherry pick a successful attempt. You’re conflating cherry picking with online learning. This is like if an entire school of students randomized their answers on a multiple choice test, and then you point to someone who scored 100% and claim it is proof of the school’s expertise.
Did Apple start their company by saying they will be selling apples?
'Not useful' is a pretty low bar to clear, especially when you consider the state of the art just 5 years ago. LLMs may not be solving world hunger, but they're already being used in production for coding

If you're not seeing value in them, maybe it's because you're not looking at the right problems. Or maybe you're just not using them correctly. Either way, dismissing an entire field of research because it doesn't fit your narrow use case is pretty short-sighted.

FWIW, I've been using LLMs to generate production code and it's saved me weeks if not months. YMMV, I guess
Wait, are they comparing 4o without CoT and o1 with built-in CoT?
I feel that you desire agency on both parties. I believe that agency already exists. Like: "Let's play a game"; "I don't want to"; .... "ok?"

NVC, yes, is a cooperative framework. The agency is to accept that, propose something different, or withdraw from communication. This has nothing to do with denying agency. It is tooling for communicating needs. I don't find the criticism to make sense.

Perhaps you can help me understand by proposing an alternative or let me know where I am not understanding
LLM performance, recently, seemingly hit the top of the S-curve. It remains to be seen if this is the next leap forward or just the rest of that curve.
Even without AI, it's gotten ~10,000 times easier to write software than in the 1950s (eg. imagine trying to write PyTorch code by hand in IBM 650 assembly), but the demand for software engineering has only increased, because demand increases even faster than supply does. Jevons paradox:

https://en.wikipedia.org/wiki/Jevons_paradox
Oof £240 though. That's the same price as something like a Metcal PS-900 which is undoubtedly better.

Edit: never mind £240 is actually for the battery powered version
In Central/Eastern Europe? It's possible. In US, especially SF? No chance.
I will pay if O1 can become my college level math tutor.
> There is no such obligation. Yes, if you don't enforce a trademark you can lose it...

Your second sentence kinda refutes the first, doesn't it?

I mean, if your company gets a cease-and-desist demand from the owners of the Chili Crunch trademark, and ends up buying the trademark to continue running your business, it seems like a Pretty Bad Idea to not hold on to that trademark.

I know you think the trademark should never have been granted, but the USPTO did grant it, and Chang's company did get a C&D from the grantee. So, if Chang's company ever let that trademark go (e.g., to be "good, decent people," as you suggest), the history of this particular matter suggests that someone else could easily pick the trademark up, and probably would (not everyone is "good, decent people," right?), and would then start sending cease-and-desist demands to extract fees.

So I'm having a hard time faulting Chang's lawyers for avoiding the obvious trap.
> People should realize we’re reaching the point where LLMs are surpassing humans in any task limited in scope enough to be a “benchmark”.

Can you explain what this statement means? It sounds like you're saying LLMs are now smart enough to be able to jump through arbitrary hoops but are not able to do so when taken outside of that comfort zone. If my reading is correct then it sounds like skepticism is still warranted? I'm not trying to be an asshole here, it's just that my #1 problem with anything AI is being able to separate fact from hype.