skysight-inc/HackerNews huggingface dataset:
I feel it-- I gave up on open source about ~6 years ago when MS bought Github. I grew frustrated for a variety of reasons.

- I didn't like MS getting their hands on Github, knowing my code would be used to feed whatever MS had cooking.

- I began self hosting my code, only to become bitter with self-hosting solutions and peoples' general attitude towards it (why are you not on Github)?

- I refused to create a "Github" mirror to stay relevant.

- I also gave up writing (blogging) in general after realizing no one gave a damn what I thought.

- I then gave up sharing code in general as it felt like a burden. Why put my blood and sweat into something people won't use if it's not on Github, and then people feel entitled to whatever I make?
I'm willing to take this bet, if we can figure out what the heck "major" trained-from-scratch models are and if we can figure out some objective source for tracking. Right now I believe I am on the path to easily win given that both the major upcoming models, (GPT-5 and Claude 4?) are training in large companies actively working on reducing their carbon output (Microsoft and Amazon data centers)

Mistral appears to be using the Leonardo supercomputer, which doesn't seem to have direct numbers available, but I did find this quote upon its launch in 2022:

> One of the most powerful supercomputers in the world – and definitely Europe’s largest – was recently unveiled in Bologna, Italy. Powerful machine Leonardo (which aptly means “lion-hearted”, and is also the name of the famous Italian artist, engineer and scientist Leonardo da Vinci) is a €120 million system that promises to utilise artificial intelligence to undertake “unprecedented research”, according to the European Commission. Plus, the system is sustainably-focused, and equipped with tools to enable a dynamical adjustment of power consumption. It also uses a water-cooling system for increased energy efficiency.

You might have a greater chance to win the bet if we think about all models trained in 2030, not just flagship/cutting-edge models, as it's likely that all the GPUs which are frantically being purchased now will be depreciated and sold to hackers by the truckload here in 4-5 years, the same way some of us collect old servers from 2018ish now. But even that is a hard calculation to make--do we count old H100s running at home but on solar power as sustainable? Will the new hardware running in sustainable datacenters continue to vastly outpace the old depreciated?

For cutting-edge models which almost by definition require huge compute infrastructure, a majority of them will be carbon neutral by 2030.

A better way to frame this bet might be to consider it in percentages of total energy generation? It might be easier to actually get that number in 2030. Like Dirty AI takes 3% of total generation and clean AI 3.5%?

Something else to consider is the algorithmic improvements between now and 2030. From Yann LeCunn: Training LLaMA 13B emits 24 times less greenhouse gases than training GPT-3 175B yet performs better on benchmarks.

I haven't done longbets before, but I think that's what we're supposed to use for stuff like this? :) My email is in my profile.

One more thing to consider before we commit is that the current global share of renewable energy is something close to 29%. You should probably factor in overall renewable growth by 2030, if >50% of energy is renewable by then, I win by default but that doesn't exactly seem sporting.
IBM had ~$14B cash to start the year.

Additionally, you don't need the full purchase price in cash to buy the company. You can do leveraged buyouts, etc.
I actually disagree, if it can be shown to be safer overall then I don’t think it should be required to be a strict superset of human abilities.

AI will always behave differently to human cognition, we should expect them to have different illusions and different failure cases. That doesn’t mean worse, if they perform better than a legal human driven car on average then I don’t think there’s a justification to exclude them.

That said, they will probably have to be _significantly_ better than human drivers in order to survive the media and public perception, so this might be irrelevant in the end.
Shout out to my old homies from LC3 LAN (Loraine County Community College in Ohio)
I was looking forward to my kids introducing me to new music as I've stagnated. Their favourites?

- Nirvana
- Weezer
- Blink 182
- Jimmy Eat World

:-/

(although my new favourite band is The Beaches)
> This is detrimental to music discovery, because discovering a song is a lot less meaningful than discovering a new album and consuming the project as a whole and appreciating its composition.

This is a very silly statement. As someone who prefers to listen the full albums and does so 95% of the time and basically never seek to play a specific single; I’m definitely not going to listen to an entire albums of new artists at a time.

I look at the discover weekly / release radar. If I like a song, I’ll listen to the album. If it I like the album, I’ll listen to the discography.

Most music is not great, but it’s easy to sample and dive deeper.
>I've watched people end up radicalized by content on TikTok - in ways that twitter, facebook, youtube, et al doesn't seem to do.

QAnon, birthed in 4chan and largely disseminated to Boomers through Facebook isolated people and convinced a large number of people to stage a coup on the US government. I can't tell if you missed the QAnon craze, or you are intentionally being ignorant. I can't think of a single TikTok trend that comes close to the level of radicalization of QAnon.
https://sanguinel.github.io/PietPlus/

Save the image of the program and import it (e.g. https://www.toothycat.net/~sham/fizzbuzz.png ). You can then step through it.

There are several other implementations listed at https://esolangs.org/wiki/Piet
Hashi never sold me on the integration of their products, which was my primary issue with not selecting them. Each is independently useful, and there is no nudge to combine them for a 1+1=3 feature set.

Kubernetes was the chasm. Owning the computing platform is the core of utilizing Vault and integrating it.

The primary issue was that there was never a "One Click" way to create an environment using Vagarent, Packer, Nomad, Vault, Waypoint, and Boundry for a local developer-to-prod setup. Because of this, everyone built bespoke, and each component was independently debated and selected. They could have standardized a pipeline and allowed new companies to get off the ground quickly. Existing companies could still pick and choose their pieces. On both, you sell support contracts.

I hope they do well at IBM. Their cloud services' strategy is creating a holistic platform. So, there is still a chance Hashi products will get the integration they deserve.
California lawmakers rein in bill to limit car speeds
Just guessing - large corporate bespoke software / integrations projects?
Conjecture, but did the prior report have a one time tax hit? That's fairly common.
They learned from Musk and his "If X dies because of advertiser boycotts the world will know and they will judge". Ironically the world knew and did not care in that instance haha.
Is OpenTofu better?
So much discussion about children's books, yet they don't mention The Hardy Boys, Tom Swift, Rick Brandt, Ken Holt, Nancy Drew, Dig Allen, Tom Corbett, Dana Girls, Trixie Belden, Donna Parker, Brains Benton, Power Boys, Sandy Steele, Biff Brewster, Judy Bolton, and all the shenanigans of the Stratemeyer Syndicate.
Might not work for my use case then. djot is single-pass so dovetails better with forth-style languages.
I do like the blocks and mistake marking though :)
I see variations of this argument pop up in this debate, which always confuses me.

I’d expect the takeaway to be “That’s bad, so we shouldn’t do it” instead of “Hold my beer and let me show you how we can follow their example.”

I always thought that the point was to not be like authoritarian countries.
Overall, music plays its own specific role for each person. For some, music is a significant part of life, almost like a whole life, while for others, it's simply meant to be in the background.
This type of comment appears here every time the name IBM shows up, but it is more symptomatic, of the bubble a part of HN lives on.

Think every core IT infra of most of the developed world countries, most of the ebanking and core messaging infra of your large banks and insurance companies, plus billions per year in consulting services revenue.

https://www.ibm.com/products

https://en.wikipedia.org/wiki/List_of_IBM_products
Yup, I have that happen a lot. So, I can definitely empathize.

We're in this really weird place where some of us on different parts of the political spectrum who may not have previously agreed are now in general agreement one way or the other, just because politics itself has become so insane.

I mean, I'm a little crazy, I won't deny that. But it's kind of bugging me that phrasing matters far more than the idea. Most reasonable people would agree that the system is fundamentally broken. We might not agree on a solution, but at least we can look at it and say "yeah, this isn't sustainable." Unfortunately, if you use the wrong word around the wrong group of people, you get branded a little bonkers. :)
What happens to shares? Are people getting IBM stock or cash?
thermokinetic energy is required for water to transition from liquid to vapor.
when heat [thermokinetic motion] spreads from the body to the liquid water, this is a net loss loss of heat from the body as water transitions to vapor phase and diffuses away from the body. if surrounding air is already saturated with vapor [relative humidity 100%] no evaporation can occur at a temperature, that humans will survive
It's just bonkers.

If the USA was really a leader, then it would lead; it wouldn't need to throw its toys out of the pram when someone does something better than it can.
For sure "Established Publications" have some protocols to pass sensitive informations to relative government agencies.
APU: Agent Processing Unit-Democratizing High-Speed AI with an Open Source Chip
The Agent Processing Unit (APU) is an open source hardware project to build a high-performance chip architecture optimized for AI agent workloads. APU aims to dramatically accelerate reasoning, learning, and interaction in intelligent agent systems while substantially reducing deployment costs.

Inspired by the potential of open source innovation in the AI chip space, you embarked on an ambitious project to create the Agent Processing Unit (APU) - a high-performance, open source chip architecture optimized specifically for running AI agents at breakneck speeds.

Your vision is to dramatically accelerate agent-based AI workloads while driving down costs, enabling a new wave of intelligent systems that can reason, learn, and interact in real-time. By leveraging insights from industry pioneers like Groq and Cerebras, while harnessing the power of open collaboration, the APU aims to be a game-changer.

The APU architecture incorporates key techniques like massive parallelism, high memory bandwidth, dataflow execution, and novel sparse compute approaches to maximize performance and efficiency for AI agent workloads. Uniquely, it also explores tight hardware-software co-design, with the hardware optimized for common agent algorithms, and an open software stack enabling seamless deployment.

You imagine the APU empowering academic researchers to push the boundaries of agent AI, startups to bring intelligent products to market faster, and established companies to deploy smart systems at scale. By driving down costs and expanding access, the APU can help democratize advanced agent AI technologies.

Challenges remain in developing a new AI architecture from the ground up. But by leveraging open source EDA tools, PDKs, and new cloud-based design flows, you believe the APU can be taped out efficiently. Google's Open MPW initiative also provides a path to prototype the APU at low cost.

Ultimately, you envision the APU as a catalyst for innovation, heralding a new era of ubiquitous AI agents that can learn, reason and act with unprecedented speed and intelligence. The journey will require a collaborative effort from the open source community - but the destination promises to be truly transformative.
Even the current tensions at the South China Sea alone where a war could break out is a pretty good sign that they are. In fact China is probably the biggest threat to the US but Israel will make you think it is Arabs as they continue to use the US for its own goals.
Who are you referring to? Is it even someone in this thread?
IBM M&A person: "We'd like to buy you in all IBM stock! <jazz hands>"

Hopefully someone at HashiCorp: "Hell no, cash please"
Tesla: Designed in and for California.
Part of me says - and this is somewhat of a hot take - "then stop using platforms that mash ads into everything?" I don't know, like, I'm here for the rebel yell against global industrial capitalism - let's replace it with the solar punk world of our dreams, but... like, we're not going to do that any time soon, so instead of complaining about "how terrible everything is" let's try to do better. Let's be excited about this stuff. Let's be positive.
100%. The iOS vision accessibility APIs are top notch and consistent throughout the system. A simple example, Siri describes the image in the notification if you have announce messages turned on
Or maybe TikTok decides to exit US in protest because they don't want to comply with the law. We've been seen this 15 years ago.
I guess this shows us how overvalued HCP IPO was.
Any recommendation to stop this? Perhaps only offer social sign on?
They did $14.5 billion dollars in revenue in Q1, with a 54% gross margin, split across software, consulting and infrastructure:

https://finance.yahoo.com/news/ibm-releases-first-quarter-re...
Interesting, neither Google, nor GPT-4 know anything about that term, outside of TFA.
I go through periods like that
https://m.twitch.tv/clip/RefinedGracefulGrouseItsBoshyTime-b...
What about jsii? The technology behind AWS cdk sdks: https://aws.github.io/jsii/

Is Stainless similar, different?
.. what, how does that track? The article is inscrutable because you happen to have been visually impaired at an early age? What's the logic here?
I listen to anything new I can get my hands on without a bunch of ads disrupting the vibe.. YouTube is my favorite music resource these days, as the videos are better in telling me more about whether an artist is genuine (non Ai, and non-industry-plant).

The genre is not really defining in most cases for me, because so much is mislabeled, or not even labeled at all, and I've found in searching music by genre, that most of the recommendations are flooded with SEO spam, and typically never the best music within the genre to begin with...

Ai recommendations will also primarily be based on what makes platforms and their partners the most money, which is often coincidentally the generic sounding pop drivel we're all so used to being played in every retail outlet around us, the best music I've noticed is often hidden below 10k views or less.
Well, it was nice while it lasted! HashiCorp always felt like a company made by actual engineers, not "bean counters". Now it will just be another cog in the IBM machine, slowly grinding it down, removing everything attractive, just like RedHat and CentOS.

Hopefully this will create a new wave off innovation, and someone will create something to replace the monopoly on IaC that IBM now owns.
No, as Hinton says in his own words "it's crazy to open source something so powerful". OpenAI is being responsible, LeCun still thinks AI is not smarter than a cat (literally he said that month ago). And he has taken Zuck for a ride.

Ilya and Hinton can be considered the inventors of this whole LLM novelty and they both agree they should not be open sourced. Says a lot.
I recently switched off Amazon Music and went back to Pandora (must have started using it in like 2010 and then gone on a 13 or so year long diversion into the on-demand streaming services).

I guess it isn’t surprising because it is their core value proposition, but the Pandora discovery algorithm seems so much better than the competition, at least to my ears.

I miss the ability to hyper-focus and play an album over and over, but on the other hand, it is probably better not to burn out on an album, and anyway, if I really want to, I can buy the album I guess.

Pandora + Bandcamp reminds me of what the internet looked like it could be. Sad that Amazon and their ilk have to silo everything.

Last.fm was pretty good too. I wonder how they are holding up…
I don't use TikTok, so I'm not particularly worried about the Chinese government using it to spy on me. What I am worried about is the Chinese government using TikTok to launch influence and misinformation campaigns against US citizens.
What about how I described music practice isn't slack?
It's when monetizing your users is more important than maintaining and growing your product.

With AI, it's going to get even worse. I mention that in this new post I just wrote: https://renegadeotter.com/2024/04/22/artificial-intelligence...
Britain is max 200kph (125mph) currently although there is infrastructure designed for 225kph (140mph) on conventional lines though this is not permitted any more. It’s not correct to say that trains circulate at close to top speed a lot of the time as they share tracks with freight and commuter and there is a lot of congestion on uk lines. It’s not as bad as the US as commuter trains can also travel at 100mph and freight at 70-80mph. But it does prevent faster trains from travelling at 125mph for sustained periods. Also most routes were built in the mid 19th century and are not designed for sustained high speed running. If you look on openrailmap you’ll see there are occasional stretches of 125mph, longer stretches of 110mph but both are interspersed with 60-80mph here and there as the line threads its way round various hills that steam locomotives couldn’t cope with 175 years ago. So trains have to constantly decelerate and accelerate for curves and trains that stop more frequently. E.g the average speed of the fastest Glasgow to London train is about 90mph. British intercity trains are dogshit compared to France e.g the fastest Paris Bordeaux train at average 186mph is cheaper and more comfortable. Britain urgently needs more capacity and it might as well be high speed, but we’ve dropped the ball on that. Glasgow/Edinburgh-London should be 2-3 hours making it competitive with flying but it’s more like 4-5 hours, more expensive and as cramped as Ryanair but 6 times longer journey time.

[0] https://www.openrailwaymap.org//mobile.php?availableTranslat...
Ecuador got some very big loans from China,so they were force to turn to them "for engineering & development work" specially in oil and energy production, this proved itself disastrous. Corruption increased and the quality of the engineering was insulting as cost cutting from Chinese companies would make most Americans blush.
A Typeform Alternative
> follow their example

Nothing about this is following their example. It's saying, "if you do the bad thing we won't let you operate here."
I think we have the same taste from the 2000s on. If you had to recommend one artist\track I probably haven't heard of yet, which would it be?
I wouldn't bet on it. Meta is leading the pack right now and they're an advertising company. I wouldn't expect an advertising company to choose a model without advertising.
This is amazing. I wonder, is one allowed to speak like this in the Bay Area, or would this mark you as a deplorable to the kind of people who erase racism by erasing race.
There's an old movie called "The day The Fish Came Out".
Gun violence! Apologize for the typo, I spotted it after edit window ended.

I am not proposing to do anything. I just described a possible mechanism for how additional policing can lead to additional incarceration, aside from homicide and attempted murders.
I don't know about the Spotify analysis here, but certainly cosign RateYourMusic, which I just learned about this last weekend and am now a little bit obsessed with. It's like IMDB crossed with Pinboard, and the list of new stuff I have to listen to now is long and intricately connected to what I already listen to. It's a pretty amazing resource, even if everyone there is wrong about Uncle Tupelo's "Anodyne".
cool "100000baseSR4"

I remember 10base*, so I find 100000base* pretty amazing.
If urelements may be distinct from each other, or the same, it seems like you could place the universe under a type and name it urelement, without creating a new axiom -- Except for, a urelement defined in this way could never be equal to the empty set - hence the new axiom? Am I understanding this correctly?
I wonder if there simply is no killer app using the current approach. Maybe we will have to hook into the brain.
Also wonder whether the law names TikTok in particular or just some criteria that matches it. If it's the latter, are other companies also on the clock?
This is just an AI-generated blurb and a license in a Github repo. Is there any other work associated with it, or is this it?
Upvoting because you are a ΛΕΒΕΝΤΗΣ! I love, L O V E seeing such beautiful solutions.

Well done my friend, all the best!
And as long as the kids could claim ownership of resources that they found or were offered and actually belonged to someone else (the school).
There's literally an ad on the front page right now for a YC startup hiring engineers to protect patient privacy. Follow the link? The company exists to better sell ads based on patient data (but in a "compliant" manner).
They bought Red Hat in 2019 for $34B, which means their customers are at a minimum every RHEL customer.

https://www.redhat.com/en/about/press-releases/ibm-closes-la...
As best I can figure #1 is your 'guaranteed hits' - songs that you have listened to the most. As you go higher it may be your most-loved music of a different genre or the 1st genre again but with more new-to-you music.
> Another theory I've heard is that the driver was holding down the accelerator to prevent phantom braking.

Would be interesting to know how commonly this workaround is applied by Tesla owners. If this is common enough it seems like a case where a feature that's merely unreliable becomes a safety issue due to second-order effects. Echoes of Therac 25[1].

[1] https://en.wikipedia.org/wiki/Therac-25
Why don’t they just hire devs who have clearly spent years building their own 3d projects alone, bootstrapping themselves? Tbf they tried to interview me during my peak where I had already made my own networking engine and a custom 3d env but I was too scared to interview after hearing they prefer fresh code monkeys out of college .

Just offering some advice I think they reap what they sow with their unfortunately overfitting in their main? choice of applicant.maybe I’m wrong

To be fair to Facebook - they actually did offer me an interview

TLDR; im a self made millionaire now I’m just saying the people you want are the ones that don’t apply, too busy coding instead of applying to FAANGS
Not really.

A Facebook or Twitter-esque addiction algorithm is WAY better than a CCP addiction algorithm since the latter tries to socially engineer unrest and disillusion, on purpose, as a targeted act of Nakatomi-esque cyberwarfare against a totalitarian regime's rivals. The former kind maybe does so as an inadvertent externality, and with every reason to wager to a far lesser degree.

Meta won't turn up the heat on antisemitism and down on something the CCP doesn't like. It might turn up the heat on, I don't know, trans rights, and down on neo Nazis, but it's much more benign dystopic info filtering than an actual "what will destabilize the US and fuel stochastic terrorism and civil war?" agenda (which is against Meta's best interest).