skysight-inc/HackerNews huggingface dataset:
> So unless the state is censoring models, I don't see what complaint you could possibly have.

Eh, RLHF often amounts to useless moralizing, and even more often leads to refusals that impair the utility of the product. One recent example: I was asking Claude to outline the architectural differences between light water and molten salt reactors, and it refused to answer because nuclear. See related comments on this discussion for other related points.

https://news.ycombinator.com/item?id=40666950

I think there's quite a bit to complain about in this regard.
The fragility of this planet is a very large reason to learn to survive outside of our nest. The more fragile the more important.
Agree with you in principle. However like social media content rules, the set of morality and ethics are a very specific subset of American/Silicon Valley ones. These are the companies with the money to build these things, and what they produce is what most global users (the 95% of the world that isn't from the USA) consume.

I acknowledge they paid for them and they are their models, but it's still a bit shitty.
I agree, also think about just how much paper one should print/buy in bookform to get the same data.

That said Jevons Paradox seems to be a hardcoded feature of the physical underpinnings of modern society, so we're probably headed for some sort of "busybody" machine world with AI's everywhere that are highly efficient but also highly wasteful.

Very few modern process so far has lead to more efficient / scarcer use of earths resources, well mirrored in the ever increasing layers of abstraction in computing where a supercomputer at home can have trouble rendering a basic desktop interface without latency these days.
Does it need to be sold in the US or simply chaning os settings to use the en_US language is enough to activate this ?
I'm in europe but working mostly in english and therfore I set my mac in english. Could I use Apple Intelligence ?
Language aside, the entire point of the EU is the single market so you don’t have 26 different rule sets. (There are some exceptions such as health care but that is no different in the US.)
The project sounds quite interesting but I'm not sure running it is going to work!
The code `gpt_model = "gpt4_20231230_1106preview"` is not using a valid model name as best as I can tell, so it seems unlikely to work - from https://github.com/SakanaAI/DiscoPOP/blob/main/scripts/launc...
Unusually, the issue section doesn't exist so I can't provide feedback to them that way. But luchris429's repo does have it so will do so there.
Maybe it's dead code. Still, it's wrong.
Is the AVC/H.264 Codec Fading?
1.Investing (wasting) the billions. 2. Receive downvotes on ycombinator lol
I've seen it repeated multiple times, and in the past have even repeated it myself. But these days I'm not so sure. I think you should go into it being ok with the possibility that it'll be worth zero, but I don't think you should plan for it to be worth zero. Put another way, I don't think you should evaluate competing startup offers completely discounting the equity comp. A company that offers $200k and 0.05% of itself is not automatically worse than a company that offers $250k and 0.01% of itself. Hell, that's still true even if they're both offering the same equity ownership percent.
It’s always unclear if proverbs actually work or if they are outdated, or an inside self-prophecy of those using them.

E.g. the set of those affected by TMMAT may hugely intersect with those who think it works. Which makes it objective but sort of self-bootstrapping. Isn’t it better to educate people about information and fallacies rather than protecting them from these for life.
ChatGPT first.

In conversation with reporters after the WWDC keynote, Apple's senior VP of software engineering Craig Federighi revealed that as Apple Intelligence evolves, the company eventually wants to give its users a choice between different AI models, and suggested that Google Gemini could be an option in the future.

"We think ultimately people are going to have a preference for certain models they want to use, maybe one that's great for creative writing or one that they prefer for coding," said Federighi. "Maybe Google Gemini in the future. I mean, nothing to announce right now, but that's our direction."

https://www.macrumors.com/2024/06/11/apple-add-more-ai-model...

I suppose they will do the app-store financial model. They take 30% cut.

Some possible vendors: Google Gemini, Anthroic Claude, Mixtral, and other Chinese vendors in China market.
Ok am I being pranked? Because I could swear that this was AI generated as well.
Lean (and Coq, and Agda, etc) do not use ZFC, they use variants of MLTT/CiC. Even Isabelle does not use ZFC.
The feature to customize keyboard shortcuts in the app is #2 on the list of requested features.

I will let you know when I implement it and open source the project.
> Google is not just ads.

Bad example given how aggressively they terminate products which don't generate the same revenue as ads.

> Apple is not.

Best example, they have done a fantastic job of being both a tech company and pseudo-fashion company.

> Amazon is not.

They don't make anything (at least nothing people want to buy) and have ad revenue as an increase slice of their pie.

> Tesla is not.

Even bigger hype/speculation vehicle than Nvidia.

> NVidia is not.

Nvidia of 5 years ago would not have appeared on this list, being too much of a niche tech company. Good at what they do, but hugely hype-fuelled.

> Netflix is not.

Running out of growth potential with their current business model, starting to introduce ads!
I would have liked an estimate of the natural sources to compare.
Depends on the metric you use. If we take nominal GDP instead of area, Germany is #1 in Europe [0].

[0] https://en.wikipedia.org/wiki/List_of_sovereign_states_in_Eu...
Lowering the barrier to entry on finding, summarizing, and ultimately internalizing information for actual practical uses has largely put into question many free speech principles.

It’s not new, we’ve had restrictions on a variety of information already. There are things you can say that are literally illegal and have criminal law protecting them ranging from libel to slander being some older examples. You cannot threaten the life of the current US president, for example. When under oath you cannot lie. Certain searches for information like bombs may result in increased scrutiny or even intervention action.

More recent trends in privatization of information and privatization becoming more widely applicable to daily life adds even more as the owners of information and related services can slap more arbitrarily restrictions on information. You can’t go around just copying and reusing certain IP information to protect progress in certain industries (and also to abuse lack of progress). Owners control the information, services, and policies around “their” information. Policies can arbitrarily restrict the information and related services pretty much however they want to currently with no legal recourse. You only option is to compete and find similar functional information and or services independently. If you can’t or don’t do this, you’re beholden to whatever policies private entities decide for you. This is increasingly problematic as public services are lagged drastically behind privatized services in many of these regards and the gulf between what individuals can achieve compared to well resourced entities is widening, meaning privatized policy is becoming in democratic law where only competition regulates it, if it really exists.

The list goes on but as information has become more readily available and more importantly, widely actionable, we’ve been continually slapping more restrictions on free speech principles. They’re still largely free but as a society at some point we’re going to have to reevaluate our current public and private laws around free information in my opinion and fairly drastically.
Cyberattacks are hitting research institutions – with devastating effects
They’re probably talking GDP
> a team at Concordia University in Wisconsin developed micro photosynthetic power cells that generate electricity from algae.

Cool! But I’m so cynical about this: there are so many cool party tricks you can pull off in a lab.

The hard part is making it scale and be economical. And that’s why 99.9% of these stories end with: “and we never heard from them again”.

Still I genuinely hope I’m wrong
At this point I've fixed enough bugs similar to this to do:

float ts = 1.0f / (float)FRAMERATE;

I would still go further in modern times (C++23) and use the compiler to ensure fixed width types [1]:

#define _float std::float32_t
_float ts = 1.0f / (_float)FRAMERATE;

Annoyingly though printing these numbers requires a cast which is not ideal.

[1] https://en.cppreference.com/w/cpp/types/floating-point
Is it really carbon net negative through the whole lifecycle? What happens to the carbon when the algae dies? What happens when the system gets decommissioned?

For the electricity, it's cool that this works at all, as opposed to turning the algae into fuel. I wonder what the efficiency is, and what maintenance is like. Presumably you wouldn't use something like this for home power, but only at commercial plants that are staffed and regularly maintaijed / gardened?
Email, etc, is all Apple inference, the presentation strongly implied that was on-device. The system always explicitly asks “Ok to send this query to OpenAI?” or user initiated request.

I think the Apple server inference is handling things like image generation where you need a beefy guy to get results quickly, and don’t need to transmit as much user context to service the request.
From Zero to Swift – Configuring Neovim for Swift Development
I think that was the entire point the GP was trying to make. The founders were doctors that decided to start a side hustle, and then one day, boom, they got a huge payout and suddenly stopped "working" and became private investors. (And meanwhile, their employees didn't get all that much out of that "boom".)
Intel's all time high was in 2000, if I'm reading the charts correctly.

Of course the equivalent can happen to Nvidia. Seems almost certain.
Asked the smartest person I know and got a prediction of AGI in 1 to 2 centuries.

This is basically a self-assessed IQ test.
They will not be thrown in the dumpster, but that's actually a bad thing for NVIDIA. We had a very short period when lots of miners dumped their RTX cards on ebay and the prices fell a lot for some time. (then AI on RTX became a thing at small scales) When the A100/H100s get replaced, they will flood the market. There's many millions of $ stuck in those assets right now and in a few years they will dominate research and top end of hobbies. Only high profile companies/universities/researchers will look at buying anything newer. Maybe NVIDIA can do 2 generations of those cards, but ASIC-based solutions will hit the market and the generic CUDA will become a problem rather than a blessing. Same story as BTC miners and graphics cards.

Sure, they didn't get lucky with the tech they had to offer - that was well developed for years. They just got lucky that the next big thing was compute-based. If the next thing is memory/storage-based, they're screwed and the compute market is saturated for years - they have only gamers left.
>We can now print them and manually select the layer (block) that provides an uncensored response for each instruction.

I'm curious why are they selecting output from an intermediate layer, and not the final layer. Does anyone have an intuition here?
The origin of 3D Pipes, Windows' best screensaver
Version 256 of systemd boasts '42% less Unix philosophy'
This is a job for Perplexity:

MERN (MongoDB, Express.js, React, Node.js) stack. Here's why:

The MERN stack is a highly popular and versatile full-stack JavaScript solution that allows you to build modern web applications efficiently as a solo developer. It provides several advantages:

1. Full JavaScript Stack: By using JavaScript across the entire stack (frontend with React, backend with Node.js/Express), you can leverage your JavaScript skills without having to learn multiple languages. This reduces the learning curve and increases productivity.

2. React for Frontend: React is a powerful and widely-adopted library for building user interfaces. Its component-based architecture and virtual DOM make it efficient for developing complex and interactive UIs.

3. Node.js/Express for Backend: Node.js, with Express.js as the web framework, allows you to build scalable and high-performance backend services using JavaScript. This eliminates the need for a separate backend language.

4. MongoDB for Database: MongoDB is a popular NoSQL database that integrates seamlessly with the MERN stack. Its flexible schema and scalability make it suitable for various types of applications.

5. Large Community and Ecosystem: The MERN stack has a vast and active community, ensuring abundant resources, libraries, and tools for efficient development. This can significantly boost productivity for a solo developer.

6. Isomorphic/Universal Rendering: With the MERN stack, you can implement isomorphic/universal rendering, which allows you to render the same code on the server and client-side, improving performance and SEO.
It starts with the sentence

"You can see the future first in San Francisco"

and while the following paragraphs make a good, positive upbeat point, reading it out of context I cannot help thinking about homeless people in the streets and a pretty dark and dystopian future.

It's interesting how a place can be so radically different things at the same time.
Are all chemistry textbooks banned in the UK then?
Maybe he means by GDP. That would fit. https://en.wikipedia.org/wiki/List_of_sovereign_states_in_Eu...
Also home to Tesla's Berlin factory, which accounts for around 1/4 of German EV output.
The argument is that Nuvia got a licence for server usage and development support from arm to develop custom arm processors.

Qualcom now wants to use technology developt under a specific licence agreement in use cases not covered in that licence agreement, because they have general licence agreement with arm.

The question is:

Does the general licence agreement from qualcom override the specific licence agreement between Nuvia and arm for this specific technology.

I found some sources which partially explains this:

https://www.ft.com/content/5535ce39-ab22-497a-a8d6-52a690d1b...

https://www.cnbc.com/2022/09/01/why-arms-lawsuit-against-qua...

(...Nuvia, a startup founded by former Apple and Google engineers, was developing a server chip with custom cores under an architecture license. It also had access to Arm’s core designs....)
Well actually, technically I wasn’t saying that “mistrial” looked like an AI. I was saying their comment looked AI generated. Which really seems to have set you off. Are you sure you’re not an AI? Because you seem quite offended that I made a joke about AI’s reading comprehension.
Thanks for summarizing. Note that the article specifically observes:

> Professors strongly disagreed on the truth status of 10 candidate taboo conclusions: For each conclusion, some professors reported 100% certainty in its veracity and others 100% certainty in its falsehood.

So it's worth contextualizing these with the note that there's _disagreement_ about whether or not any of these statements is actually correct or not. But it's not 50/50: Some of the statements had higher overall belief ("Biological sex is binary for most people" being the most widely-believed among survey participants, with 66%), and some had much lower belief ("demographic diversity .. worse performance" being the lowest, at 21%).

(Table 2 in the article, about 1/3 of the way down)
No network calls and access to external web servers (except when you check for updates). No logs and usage statistics. You can use it offline.
It's not just the current prompt, but the whole conversation, if possible. Or, if you want the AI to summarise an article, the article has to fit in.

If I understood that correctly, context length is something like session storage or short term memory. If it's too small the AI starts to forget what it's talking about.
There was a press release on the same day talking about how Oracle, Microsoft and OpenAI have a deal for burst capacity. That may be connected.
>If you look into the actual GDPR,

oh good! Cause I've done that.

>you will find the phrase "data subjects who are in the Union", which are "natural persons", for whom the data protection laws apply.

tourists who are in the union also apply, there is no idea that you can figure out if that person is just traveling through the EU for some months you can do what you want with them.

https://www.dataprotectionreport.com/2018/12/edpb-clarifies-...

>Data subjects in the Union means any person in the Union whose information is being collected at that moment, regardless of their nationality or legal status. That means EU citizens and residents are squarely in scope. And someone in the EU, even a US tourist using an app in the EU, is a data subject in the Union for purposes of the GDPR.

on edit: if you were just clarifying/backing up my original point, sorry, I thought it seemed you were going with interpretation of the person who I was replying to an EU company can do what they want with any U.S citizen's data.
So? If you get twice the RAM at a comparable price and that leads to twice the performance, what's wrong with comparing that?
If you want to be pendantic: the biggest country by population in the EU. I don't think area has any relevance in the context of this discussion.
Asus built supercomputers, datacenters and an LLM. Now it's selling them
I'm sure he meant by population

https://en.wikipedia.org/wiki/List_of_European_countries_by_...

Russia and Türkiye are partly in Asia, so not really completely European
> a) Microsoft pays for compute. OpenAI never intended to run their own cloud.

No, Microsoft INVESTED in OpenAI and in exchange became OpenAI's exclusive cloud provider. That doesn't mean they pay for the compute of all customers.

> b) Apple's 15%/30% is a "cost of channel" for developers. It is the fee they pay to get free users delivered to their app. And the decision to do this is purely a business one that can be changed at will and does not apply at all to this situation.

Not sure what you meant to say here. Purchasing of OpenAI "premium" would be handled via Apple's payment platform, for which Apple will likely take a cut.
Regardless, OpenAI's gamble would be to onboard ~100M iPhone users under a "free" tier in a single rollout step, in hopes that the conversion-rate to an OpenAI premium will be high enough to offset the (infrastructure!) cost of serving all those users for free

> c) Calling Apple a gatekeeper for implementing additional features to their OS is odd to the say the least. They have made it clear during the keynote/WWDC presentations that they plan to add additional providers than OpenAI.

Apple is the gatekeeper because they are in control of the decision to offload AI-tasks to a 3rd party service or do them "in-house" (on-device/Apple-cloud),
This doesn't change regardless whether they stated this upfront at the keynote/WWDC or not.

Because of this structure, Apple is are aware of every single AI-task that is to be done and will use this information to influence their in-house roadmap (a natural decision, because on-device is better than cloud, and Apple-cloud is better because <insert tech of Apple cloud here>).

At some point in the future, the user will be able to select WHICH 3rd party he wants to use, but so far I don't see any indication that Apple considers themselves as a 3rd party.

And even if they would, they hold more information than all other providers because they FIRST decide whether a task can be handled on-device or not.
If feels that way sometimes. I heard a joke the other day related to this:

Q: What is the most important priority?

Liberal A: Letting kindergarten teachers help kids transition their gender.

Conservative A: Banning abortion and contraceptives.
The thing with art is, everyone is entitled to an interpretation. So any assertion about the intent of a work is subjective.

Interestingly, this continues to be the case even when the author states his intent plainly. Jonathan Blow's "Braid" is a great example of this: there are several different readings of the story, despite Blow openly talking about his intended meaning.

(I would argue that a text that only allows a single "correct" interpretation is an instruction manual, not a work of art.)
I will add functionality to customize ANY keyboard shortcut in the app. Thank you for your feedback.
Remember that the average American reads at the level of like an 8 or 9 year old. I think it's 4th grade, is what they say.
> magical contract fairy

I've never heard anyone call the federal government that.
If you need per-core number crunching performance you'd reach for Nx, similar to how you would do the crunching in Python. With OTP it's then (almost) trivially concurrent.

Compared to squeezing performance out of multiple cores with the JVM it's absurdly convenient and consumes way less RAM. I have two reasons for still working with the JVM, multiplatform desktop GUI and high quality PDF libraries that support rather low-level aspects of the standard that I need. It's kind of obvious why these things aren't readily available on the BEAM, though.
Original title was "ASUS quietly built supercomputers, datacenters and an LLM. Now it's quietly selling them all together". HN title was truncated to meet length restrictions.
These posts by Zvi might be helpful (as in condensing the information, no analysis though):

https://thezvi.wordpress.com/2024/06/07/quotes-from-leopold-...

https://thezvi.wordpress.com/2024/06/10/on-dwarkshs-podcast-...
Except you do have 26 different rules.

It's a single market on paper as the eu only mandates a small subset of common rules and regulations such as removing tarrifs or freedom of movement, but have you ever tried in practice to launch your company from Belgium to France or from Netherlands to Belgium or from Austria to Germany, or from Romania to Italy?

It's much more difficult when the rubber hits the road as every country has various extra laws and protectionist measures in place to protect it's domestic players from outsiders even if they came from within the EU. And that's besides the language barrier which means added costs. This is much less efficient than the US market.

EU countries and voters still value their national sovereignty and culture (both with the upsides and downsides) above a united EU under the same laws and language for everyone, ruled from outside their country's borders. See what happened with Brexit and the constant internal squabbling and sabotaging over critical EU issues that affect us all like the war in Ukraine or illegal mass migration. An US style unification just won't work here since every little country wants to be it's own king while having its cake and eating it too.
Apple Intelligence doesn't use OpenAI
Where I'm from, when you say "biggest" country, it's by default population unless specified otherwise. Area really isn't an important metric here (unless your country is tiny), because the ability of economic and industrial output scales with population more than with area. The most logical comparison would be by GDP here, because we're comparing economy.

But for population, which is what I think about when specifying country size without any explanation:

https://en.wikipedia.org/wiki/List_of_European_countries_by_...

Germany is #3 here. You'll see that Russia and Turkey are partly in Europe and bigger than Germany, but since they're mostly in Asia I think most people wouldn't consider them mainly European but rather mainly Asian. There's bound to be some discussion here since it really isn't very clear cut. I'll rephrase to "Germany is at least the third-biggest country in Europe".
It's the biggest car producer in Europe so makes sense...