skysight-inc/HackerNews huggingface dataset:
So, banning high-powered chips to China has basically had the effect of turning them into extremophiles. I mean, that seems like a good plan </sarc>. Moreover, it is certainly slowing sales of one of the darling companies of the US (NVidia).

I just can't even begin to imagine what will come of this riduculous techno-imperialism/AI arms-race, or whatever you want to call it. It should not be too hard for China to create their own ASICs which do the same, and finally be done with this palaver.
It's like names of Pokemons. Every kids know that Bulbasaur is grass-poison typed and evolves into Ivysaur at Level 16. You have to memorize them all to be a good player and that's a whole load of nonsense! But that's not relatively huge undertaking, and nothing remotely like the full language.
At least down to "let there be light" or equivalently "How can the net amount of entropy of the universe be massively decreased?"
Also American pride. China is on track to outpace the US in technical, military and economic dominance.

A lot of people want to poke at Chinese weakness wherever it’s exposed because Americans are used to being the best and also unconscious racism. When Japan was about to overtake the US the US pulled some similar moves and that is partly what’s responsible for japans current economic funk. It’s unlikely these moves will work on China.
Thanks! We do not have a SQL editor in the UI yet, but it's one of the things we're actively considering working on soon, it's mentioned in the "What's next?" section of our beta release announcement: https://mathesar.org/blog/2025/01/29/release-0-2-0

I'm not sure if this would fit your use case, but you can also use a separate SQL editor alongside Mathesar, we always reflect the latest state of your DB.
The traditional fix back in the 1980s was to use Tantalum capacitors which had good high frequency response. Unfortunately they turned out to be dependent on oppression for their source material and also tend to short at the smallest possible disturbance.

The cheap option was an electrolytic cap and a .1 uF disc ceramic. The self inductance of a wound aluminum capacitor tended to be ok at 120 hz hum frequency but horrible at higher frequencies found in TTL and CMOS logic.

Those also turned out to self destruct over time due to the extensive use of an incomplete stolen trade secret electrolyte formula in many low cost capacitors.

I'd still use both, personally.
Due to its prohibitively expensive licensing costs, I would have difficulty adopting SQL Server into any app stack. SQL Server quickly becomes expensive in AWS or GCP.
I'm inclined to believe that there is fairly likely to be long-term negative health effects from cannabis use, but that the very obvious correlation many people in this thread can probably identify with their friends in highschool is just that, a correlation, for some reason or series of reasons.

My friends who really got into weed at that time were absolutely addicted to it, and some of them I do believe let it affect their reasoning ability, but it's hard to know what they'd have been like had they not been smoking their paychecks away. I regarded them as stupid at the time, but there were few instances where they weren't stoned, and a stoned person is often dumb as hell. In retrospect, one of them was (highly) likely schizophrenic but also intelligent, and would make shatter with his older brother who was definitely a deadbeat at the time, but they both came from the same conflict-laden upbringing, while another was clearly intellectually capable but raised to be emotionally volatile, and the rest were mostly just having fun and quit shortly after.

I'm thankful I remained friends with them but didn't get heavily into it at that time, but it's much more difficult for me to frame the weed use as a causal factor in anything besides a sort of dampening of their hypothetical willingness to seek a better existence through other means. As South Park put it, weed lets you feel ok about doing nothing, and that's dangerous in aggregate.
In my opinion, it is not vitriol as much as unfiltered recognition of the significant issues and risks that have become a part of DeepSeek’s story: the Chinese government injecting propaganda into LLMs, the threat of apps from adversaries in US app stores (like TikTok and DeepSeek), the disregard for user privacy (their database was open to the Internet with no authentication and no encryption of data), the misleading claim of quoting the cost of a single final run (which amounts to market manipulation of nvidia stock), the theft of OpenAI’s assets that they’ve not admitted to, the likely evasion of sanctions, and so on.
It can be really hard to understand why people do what they do. But I do know from personal experience that shelter insecurity is one of those pervasive stressors that makes everything difficult.

Maybe their phone getting screwed up was the proverbial last straw. Now, instead of a calm, considered approach, they're fighting exhaustion and panic while trying to problem solve.

But no matter what their circumstances, being vile toward them is unwarranted.
Northeastern purges DEI websites and messaging amid Trump executive order
Also this is not necessarily a universally bad thing.

For example if I need to work through something from first principles as opposed to instant recall I may develop a more novel understanding.

Anecdotally I have found a number of individuals that are great a remembering and therefore excel in some academic situations are the quite intellectual rigid and unable to think beyond what they are told.

But as a disclaimer I'm not advocating marijuana use as it can have detrimental affects on motivation for example.
Interesting how many comments here say that a big issue with pot is that it makes you "unmotivated". I suppose this is a problem for people who are in tough spots in life and are using pot as a form of escapism. But besides this, what exactly do we need to be motivated for? Grinding away harder at a corporate job? At a certain level "motivation" can be counterproductive and you might be better off slowing down and appreciating your life as it exists now - something that weed can help with in my experience.
This has been a stereotype for forever. Would be more surprising if they found weed usage didn't correlate with these things.
GetBetter
Hello,

Check out my new universal fitness social platform just launched to the app store. Excited to get better with everyone.
>In 1998, a grant from the National Institute of Justice to the University of Maryland resulted in a report to the NIJ, which among other statements, concluded that "D.A.R.E. does not work to reduce substance use." [...] The evidence suggested that, by exposing young impressionable children to drugs, the program was, in fact, encouraging and nurturing drug use.

>A ten-year study was completed by Donald R. Lynam and colleagues in 2006 involving one thousand D.A.R.E. graduates in an attempt to measure the effects of the program. After the ten-year period, no measurable effects were noted.

>In 2001, the Surgeon General of the United States, David Satcher, placed the D.A.R.E. program in the category of "Ineffective Primary Prevention Programs".

>In March 2007, the D.A.R.E. program was placed on a list of treatments that have the potential to cause harm in clients in the APS journal, Perspectives on Psychological Science.

It was, at best, ineffective. At worst it was harmful.
People saw how much cheaper it was to train DeepSeek v3, and assumed this reduced NVidia's TAM. I think this doesn't make much sense.

a) For inference, cheaper and faster compute will increase total inference spend, because the end-user products will work better and people will use them more.

b) For training, the big labs will continue to spend because we have yet to see diminishing returns to scale - in fact, we have in the past year unlocked a new dimension to scale up training-time compute - doing more RL after pre-training to improve reasoning capabilities. Since current SOTA models are not yet smart enough for all the tasks people want to use them for, this means that any efficiency gains will be used to further improve performance. In the current competitive environment, even with DeepSeek's work, it's near-impossible to imagine OpenAI, Anthropic, Google, or Meta deciding to cut the compute budget for training their next model by an order of magnitude. They will still incorporate DeepSeek's techniques into their next model, but use them to squeeze even more performance out of the compute they have, and will keep purchasing as much compute as NVidia will sell them. Expect this trend to continue until there are no more returns to scale anymore.
The success part is holding them for 10 years through all the ups and downs
Eli Whitney thought he could reduce slavery by making cotton processing 45x more efficient...
That's not the DeepSeek R1 model that they're offering via the API on these servers. That's a Qwen model that's been fine-tuned on output from the big R1 model.
Overall good post, but feels like he has an axe to grind with LLMs to the point it is misleading:

> Last week, DeepSeek published their new R1-Zero and R1 “reasoner” systems that is competitive with OpenAI’s o1 system on ARC-AGI-1. R1-Zero, R1, and o1 (low compute) all score around 15-20% – in contrast to GPT-4o’s 5%, the pinnacle of years of pure LLM scaling

R1-zero gets 14% on private set which is the exact same score June Sonnet got; Sonnet, not 4o, is the pinnacle of pure LLM scaling
Seriously. OpenAI consciously stole The NY Times for almost all news content. Everything about the company is shady.

Sam should focus on the product instead of trying to out-jerk Elon and his buddies.
This is exactly what I was looking for! I had a foggy idea of using a MOSFET and the button to close/open the circuit but I needed something like this to show how it all fits together. Thank you!
Every intelligent colleague is an interesting mix of 'sour but intrigued'

Personally, I know I've lost a lot of street cred amongst certain work circles in recent history as far as my thoughts of 'shops should pursue local LLM solutions[0]' and the '$6000 4-8 tokens/second local LLM box' post making the rounds [1] hopefully gives orgs a better idea of what LLMs can do if we keep them from being 100% SAASlike in structure.

I think a big litmus test for some orgs in near future, is whether they keep 'buying ChatGPT' or instead find a good way to quickly customize or at least properly deploy such models.

[0] - I mean, for starters, a locally hosted LLM resolves a LOT of concerns around infosec....

[1] - Very thankful a colleague shared that with me...
appears to have collided with a helicopter
My advice is do it for yourself, any engagement is a bonus, and don't lock it behind a wall like Substack etc.
This is very cool and I intend to check on it from time to time. I use Clojure (and ClojureScript) all the time, and while performance on the JVM has never been an issue for me (the JVM is an impressive piece of engineering), I'm always on the lookout for new things!
Yep

https://azure.microsoft.com/en-us/blog/deepseek-r1-is-now-av...
I don’t get it. The labs have regularly made improvements that dramatically lower the cost of training an equal-performing model. When they do this, they also train a larger model with even higher performance. This time, DeepSeek did the first part but didn’t do the second. Now every lab in the world will throw their compute into the effort to replicate and beat DeepSeek’s model with larger scale. It’s not like everyone is just going to say “well I guess AI is smart enough now, no point improving it anymore!” and stop building bigger training clusters.

If anything, r1 makes even more GPU demand likely, since it mitigated or at least delayed the risk AI hit a dead end (in which case, ceasing development may actually make sense).
DeepSeek is more affiliated and partnered with the CCP than US companies are with the US government. Their LLM includes literal government mandated censorship and propaganda. Their CEO met with the premier the other day. And obviously the CCP will be using this tech for military applications very soon. But Chinese citizens themselves will also be further controlled and suppressed through the extensive use of AI and robotics by their own ruling dictatorship.
My own anecdotal evidence is myself and many of my peers smoked plenty well under 18 and many of us became successful or reasonably so. the whole moral panic over cannabis use has been overwrought and fraught with bad science. now, would I want my child to use before they were 25? absolutely not. is it a catastrophe if they did? also no.
I think AI is a bubble. The amount of compute for inference is vastly overestimated, because a lot of caching is coming. It's driven by maniacal statements like Sam Altman's insistence that we must spend Trillions on compute, to achieve AGI, and it's more important than anything else.

Project Stargate is some large fraction of that, and of course Softbank is no stranger to losing money on overestimating demand (for example, WeWork). To be fair, China has a lot of overestimation of demand too (for example Evergrande). The other is that rapid competition leads to overinvestment by all parties.

https://www.wsj.com/tech/ai/sam-altman-seeks-trillions-of-do...
Definitely. Conversely I know someone who died young of lung cancer but never smoked.
I knew some top students in college who started smoking weed then and continued. They're still programmers or scientists now, which isn't surprising given their education and talent, but something's wrong every time I talk to them. They seem scatterbrained and unable to remember what either of us said a minute ago.

Edit: Forgot to specify, they're in their late 20s now.
That's good, I hadn't seen that update! I've been using the app for 5+ years and it doesn't appear to have changed its feature set or UI in that time.

My main concern is OS updates and AirPlay protocol changes breaking it, which would mean that it would no longer fulfil its purpose. AirPlay, being a proprietary protocol, is ripe for breaking third party integrations.
It doesnt have to be on powersaving- just by leaving wifi and bluetooth off I would regularly get 3 days on a charge.

Data is cheap where I live, but also I dont use my phone to stream music/video.
It's a nice anecdotes, and maybe that works in some places, but in my experience selling to Enterprise, software quality is pretty low on their check list.

Generally speaking, they're more concerned with the supplier than the product. Yes, it must (generally speaking) meet their requirements, but its also important that they -believe- the supplier can roll it out, and will be around in 10 years still supporting it.

In other words Enterprise doesn't just want software. They want a stability of supply, so suddenly they're looking at things like Support levels, customability and so on.

"You never get fired for buying IBM (a reference likely lost on you if you're a bit younger than me) wasn't about quality, but about longevity.
It’s possible commenter is referring to my team. But yes this project was solely my fault :D, along with a few amazing contributors from the open source community who are credited in the readme
Has being on the front page of the NYT for a software bug or leak killed any companies?

I think they correctly believe security failures are at most a short term PR problem as far as the market is concerned.
You are misunderstanding the meaning of working memory. Working memory is very short-term and small; it's what you use when you read the second half of an equation and still remember what the first half said.

A reduction in working memory is a direct reduction in cognitive capability for some/many tasks.
Oh geez yeah, if they really managed to optimize it with Matrix Multiplication these guys must be good
https://www.businessinsider.com/trump-taiwan-chip-tariffs-nv...

Hopefully it's just posturing, but either way it's utterly asinine yet about par for the course what I would have expected from this administration.
Now you are asking for a perfect modeling of the system. Reinforcement learning works by discovering boundaries.
Lighting and post-processing is a big tell too for those types of games. Unreal Engine has a default motion blur effect which is extremely obvious
Amazing, looking forward to it. My email is on my account, but feel free to just create an issue in the GitHub and we can get started that way
Kids didn't listen to it, but it was right. It painted weed and harder drugs as pointless and dangerous, which they are.
I have been maintaining a semi-successful blog [1] for the last five years and have learned a few things along the way:

- Own your content: Medium, Substack, Hashnode, Dev.to—all of them suck. Your readers deserve better. Don’t waste their time.

- No one cares about the technology behind your site unless it’s huge. So it should be the least of your concerns. Don’t be that JS guy who rewrites their entire site every week in a different stack and writes a blog post about it.

- Consistently writing is a lot of work, and there’s no way around it.

- Picking a niche and writing about it yields better results than trying to write about anything and everything.

- No one will probably read it for a long time, and that’s okay. You should write only for yourself in the beginning.

- POSSE is the way to go. If you don’t promote your work, no one else will.

- That said, if it took less time to write than it would take someone to read, it’s probably not worth writing.

[1]: https://rednafi.com
I think it's hard to argue MikeRoweSoft was a coincidence but Super Mario can't be.
That's a given. Many tech jobs still pay well enough to have a luxurious life. Some jobs pay more because they have to. The biggest nightmare for me would be seeing 7 years go by and accomplishing nothing.
Tantalum and electrolytic capacitors are primarily for bulk storage and lower frequencies. They don't substitute for small ceramic capacitors in this context.

Switching regulator frequencies have become much higher since the 80s. It's common to have switching regulators operating in the MHz range with small ceramic output capacitors and relatively low value inductors.
US strategy towards China as of late seems so defensive and even feels a bit desperate. Banning companies from US markets or their ability to purchase things to applying sweeping tariffs. What’s the endgame here? Trying to keep China contained from eclipsing the west perpetually? What about India?

I’m not a fan of the shenanigans China pulls but I legitimately don’t understand what the point is trying to play whack-a-mole against all these Chinese companies
> Which seems like only a matter of time if we're going to keep doing this.

What's funny is that people have been saying this since OpenCL was announced but today we're actually in a worse spot than we were 10 years ago. China too - their inability to replicate EULV advancements has left their lithography in a terrible place.

There's a reason China is literally dependent on Nvidia for competitive hardware. It's their window into export-controlled TSMC wafers and complex streaming multiprocessor designs. Losing access to Nvidia hardware isn't an option for them (or the United States for that matter) which is why the US pushes so hard for export controls. There is no alternative.
"cross-platform" is interesting. I've been using Keyboard Maestro on MacOS (highly recommended, it does a lot of useful stuff) and this, in combination with UHK keyboards (https://ultimatehackingkeyboard.com) and their switchable keymaps, has been working well for me so far. But, getting something like Keyboard Maestro on Linux would be quite useful indeed.
> Why is marijuana considered so wonderful?

It isn't considered "wonderful". It's just not worth putting people into prison over. It's still a vice, like tobacco, alcohol, or gambling.

There are also some important differences between it and cigarettes.

1. Way less actual smoking needed. Or not needed at all because edibles exist.

2. It isn't chemically addictive or habit-forming for most people.

3. There are legitimate medical applications for pain or nausea relief. Again, without smoking.
The article does not claim that smoking determines outcomes for any individual. It gives statistical evidence that outcomes (measured brain activity while performing certain tasks) for weed smokers are worse than for non-smokers __on average__, and that this pattern persists in various subpopulations determined by demographic and lifestyle factors.
The long-planned return of two astronauts from space is now a political issue
It literally encouraged drug use through exposure
That’s true but I think if a major issue is having to type === instead of == then you’re probably doing okay.
Live Dive into How to Finetune DeepSeek R1 on Synthetic Data
The definition of drug is quite wide reaching. It isn't a food, it isn't inert, has a very measurable impact on the body, and the stuff you buy in a powder is far more potent than what you'd find in food. About the same as caffeine. Just doesn't have mental effects.
The only tar command I can remember reliably is this one:

tar -tf ./archive.tar

It lists all of the files in the archive. I only remember it because of the mnemonic "tar the fuck is in this archive."
Trump cribs Musk's "fork in the road" Twitter memo to slash gov't workforce
You get what you measure. Measure what you want to get.

So first be really sure what it is you want to get.

What you want to get will be hard to measure. Accept that as truth. However accept no proxy measures.

Measure only the specific outcomes you want.
Also, the gravity of asteroids or small planetary bodies like moons that it passes close to will have some small effects that can add up over a long time period.
No offense to OP, but here are a couple of responses

1) Snark Number 1: "Reduced brain function? Sounds like they're chillin'"

2) Snark Number 2: "Reduced brain function? Like a relaxed human being"

3) No Snark: given the following paragraph, should any sentient human ever take posts about cannabis as anything other than provocative and unproductive fight-bait?

"The study has limitations. It was an uncontrolled, cross-sectional study, so the association seen between cannabis and brain function can’t be considered causal. And because the participants were young adults, the results can’t be generalized to other age groups. The researchers also lacked data on typical THC dose and potency, additional components such as cannabidiol (CBD), and how the cannabis was administered."

should any (rot-)content that's this heavily caveated not be auto-removed just like any SPAM would? Again, no offense to the OP or their intentions, but, come on ...
UblockOrigin, on a phone, blocking the javascript, resulted in reading the whole article with zero ads.
What was she expecting exactly?

The Holocaust was a tragedy. For the vast majority of people, it’s a very distant, remote, almost abstract tragedy. It happened generations ago thousands of miles away from most Americans, in a world entirely different from ours. Did she expect him to break down crying? And that he didn’t is just confirmation that he’s indifferent to dead Jewish people?

This is not meant to be a defense of Elon per se, but just of the general attitude that Jewish people deserve unique deference. He didn’t even visit the site of the Holomodor yet when he criticizes Ukraine there’s no impression that he’s anti Ukrainian (because these are entirely unrelated).
https://hsph.harvard.edu/news/is-coffee-good-or-bad-for-your...

> “The overall evidence has been pretty convincing that coffee has been more healthful than harmful in terms of health outcomes,” said Frank Hu, chair of the Department of Nutrition at Harvard T.H. Chan School of Public Health
Because a single person doesn't need a separate house. In many countries, the default is for children to stay home until they're married. Now, if that person is like 30 and doesn't appear to be going anywhere, maybe that's a problem.
DeepSeek... so hot right now.
Ok, and I know programmers and scientists that used to smoke in college and are just as sharp as ever.