skysight-inc/HackerNews huggingface dataset:
Doubtful. Most deals aren’t financed with debt.

There are many but off the top of my head Kroger buying Safeway. Visa buying Plaid. Nvidia buying Arm. Didn't they block a cell phone merger? A mattress merger?
The chart is within the below linked article. The below link I've provided is a gift link, so you should be able to access the article through it.

https://www.bloomberg.com/opinion/articles/2025-01-27/deepse...
If the Alpha Wolf is a myth, it is also a myth that the concept was bought to popular imagination by Rudolf Schenkel and L. David Mech between the 1940 and 1970s.

Jack London's gold rush books explore this concept in detail, the first of which, Call of the Wild, was published in 1903. These were very popular books, then and still today.

The alpha wolf concept was in public psyche at least in the early 1900s, but probably earlier too. I don't think it is likely that London invented this myth himself and it existed earlier.
Purpose of corporations is to make money. It's a tool. Nothing less and nothing more. Using people work is the way they are doing it. Expecting something different is very naive.

I think the only wise way to cope with that is maximize your output and minimize your input. If you are here not for experience or mission itself there is no point in undercutting yourself. You can't expect loyalty from a tool. You can expect common decency from a management but that's different story.

Don't become only cynical. It's just how it is. It's an opportunity for you to get more money and experience. From finance perspective it's usually a win.

Good luck!
:)
haha thats too funny. i wonder if his eye starts to heat if he buys too many drinks
I assume the State of New Mexico will be forced to change its name, too.
Dr. Rhonda Patrick's Insights on Exercise's Impact on Longevity and Brain Health
But will Google follow suit when the Atlantic is renamed Lake Bedminster, and Europe renamed Putainia.?

Not to mention Eurasia, Eastasia and Oceania.

And Mars? You already know that one.
Ballsy of him to say some of that in China as a Chinese subject!

I feel like the reaction of the west is protecting him from a reaction from Chinese authorities
Bro I define an alpha as someone who leads and controls others. Someone people follow whether by will or by force or because they are paid a salary.

You’re just being pedantic. I don’t need to explain to you why people intrinsically know Elon musk is an alpha and the person going to Disney world is a beta.
damn the HN title got changed. The original title was "VPN is now the resistance tool of choice in authoritarian regimes" I thought its pretty funny that another VPN app is listed as #10.
Is it boring technology? I'm actually reluctant to pick up Rails because it had always been sold by the Basecamp cult and Jason Fried gives off Musk vibes.

Many opinionated frameworks are also less reliable because of the layers of abstraction, so I'd also associate opinionated framework = sexy and temporary.

I've never actually used Rails in production, just did some tutorial, so I'm probably wrong about this.
*Swiss
It’s made a NVIDIA Digits even more attractive to me now.
I admit to being rude and to being a very bad builder myself.

But the article is bad. Just about every piece of evidence has some sort of issue. Correlation-causation, or not enough data, or just assumptions. The wolf stuff (seems to be) based on only 2 observations. The author cites big tech in CA, but then describes a single clothing company that has a high random metric that is supposedly an accurate indicator of all of the above.

And the connections between arguments are not even that good. Skimming over it, I wasn't sure what the article's point was.

As for the conclusion, the vague words on what could be done are the kind of stuff everyone is trying anyway for other reasons, and it isn't (?) working.
Merkle Tree 101
Is it luck, or is scaling arithmetic genuinely a useful capability to offer the world?
Microsoft 365's Copilot Bundle Triggers an Automatic Price Increase
Make mutton great again
When Pebble Watch was released, I was a 16 year-old child, and I was so fascinated by the watch, that till this day, I haven't bought any smartwatch, because deep in my mind, I knew they were nothing aganist a Pebble Watch. After I grew-up, I tried to look for any second hand pebble watch, but couldn't find any in my country. BUT I would love to get a new one now!

> The new watch we’re building basically has the same specs and features as Pebble, though with some fun new stuff as well.

why use the same specs? they are almost a decade old :-/

Please ship to my country, India, I will definitly get one. and please don't change some hefty shipping, most of the time, the shipping charges are more than the product itself :-(
What would you recommend for a backend developer looking to make the switch from rest crud apps to ml platforms?
I have been using LibreOffice for craft both personal and scholarly documents. I do not miss the current Microsoft Office.
i've never been as disgusted by a website as by stack overflow so getting rid of that drastically improves joy
Global Game Jam Bandung 2025
CEOs are not a legal construct, that's the "President" of a corp, or the "Chairman of the Board". CEO is a popular sobriquet because it sounds cooler.
Double opt-in emails go back as far as LISTERV in 1993
By that time you can have your personal humanoid robot clean your gutter. You just do nothing but prompt, what a life that’s gonna be.
I believe in you! (I'm one of the instructors of the course :) )
You could always sell it. <hint hint>
It's definitely possible to transmit multiple TV channels at once, and I have experimented with that in the past. Since TV channels are 6 to 8 MHz wide (depending on what part of the world you're in) there are practical limits to how many channels can be transmitted at once. Consumer-grade SDR boards are limited to about 56 MHz total bandwidth, which would be enough for 7-9 channels.
Tool for seeing which TLDs are recognized by Apple Messages
like many people, i have a bad habit of looking for domains for side projects that never quite get off the ground. one annoyance is knowing which domains will be treated properly in the Apple Messages app. Aka they are tappable hyperlinks. So I found a list of TLDs online, pre-pended `example` to each of them -> example.com, example.ai, etc.

Then I figured others could use this list for themselves. So it's available in a searchable table at recognized.link. I even used the tool when selecting the TLD.

Please share feature requests. A couple that seem obvious: Android (https://android.stackexchange.com/questions/241293/wheres-th...) and per-TLD links out to domain registrars (e.g. namecheap).

Hopefully this saves some folks a few minutes :)
dang has provided an answer for how the algorithm works whenever I've asked similar question.

But I still don't get it. 6 hours + 170 points and it's on third page. Meanwhile second page has "Null Byte on Steroids" at 12 hours + 20 points. ??
I'm not convinced that this is more than the market having a jump-scare at an incremental leap in model building technique.

Say DeepSeek has worked out how to do more with less - that's great! I don't think it means that the market for Nvidia's silicon (or anyone else who can hop the CUDA moat) is going to shrink. I think that the techniques for doing more with less.. will be applied to _more_ hardware, to make even bigger things. AI is in its infancy, and frankly has a long way to go. An efficiency multiplier at this stage of growth isn't going to reduce the capital needed, it will just make it go further. There may be some concern about scaling the amount of training material, but I don't see that as the end of the road at all. After all, a human's mental growth is hardly limited by the amount of available reading material. After all written material is trained upon, the next frontier will just be in some other mimicry of biological metacognition.

At least that's my armchair analysis.
I take a biologic that costs $5,000 a month without a prescription. $1k a month is honestly easier and I can afford it. I enjoy the luxury of being able to afford to not have to navigate the stupid “oh, so you’re poor” patchwork bullshit that exists. My roommate is not such a person.
`go tool` doesn't require a rebuild, but it does checking that the tool is up-to-date (which requires doing at least a bit of work).

This is one of the main advantages of using `go tool` over the "hope that contributors to have the right version installed" approach. As the version of the tool required by the project evolves, it continues to work.

Interestingly, when I was first working on the proposal, `go run` deliberately did not cache the built binary. That meant that `go tool` was much faster because it only had to do the check instead of re-running the `link` step. In Go 1.24 that was changed (both to support `go tool`, but also for some other work they are planning) so this advantage of `go tool` is not needed anymore.
> US relied too much on secrets and menufactured inefficiency

You are replying to a thread with the DeepSeek CEO saying the opposite (e.g., DeepSeek built upon transformers, Llama, PyTorch, etc.)
Still don't know if it's even gold
How is this going to affect the Beeper / Beepberry project? Are you involved with the hardware side of that project still?
Money isn’t fringe, and the target for crypto is all transactions, rather than the existing model where you pay between two and 3.5% to a card company or other middleman.
The _tooling_ is not reproducible. Take a not small golang project with some number of dependencies and there should be a single list of the latest versions for the entire project. And exactly what golang commands do you run to generate that list? It's totally broken. This is why so many tools cropped up like go-mod-upgrade and so on.

Everyone downvoting obviously doesn't understand the problem.
Because you could turn Clippy off.

You can 'agree' to Copilot not offering help. But that doesn't 'turn it off', just agree with it to turn to another use mode while it 'sits there'.

Copilot does not crash, copilot crashes you.
And, walking in dense city, some of the "micro" spike traction aids are amazing for walking over the slipperiest surprise slick ice spots, like they're nothing.

Occasionally, I feel like I have to warn people coming the other way on the sidewalk, since I'll stomp right over, say, some ice that has has filled a porous sidewalk, and left a slightly wet layer atop that smooth surface -- basically, you'd have a lot of trouble simply standing on it without falling down, much less moving on it -- but the person coming the other way probably doesn't realize I've got gear making all the difference.
I really don't understand the market thinks Nvidia is losing its value.

If DeepSeek reduce the required computational resources, we can pour more computational resources to improve it further. There's nothing bad about more resources.
Excited for this—was NOT expecting it to tell me to follow them on Twitter after signing up! That one sure hits different than the last time…
That seems reasonable. I’m talking about testing APIs for performing a variety of different kinds of transactions, not just CC.
I can’t imagine getting Medicaid to cover the biologic that I take that costs $5,000 a month without a prescription to be anything other than a nightmare.
GPUs are now 47 times faster, thanks to all the software improvements, so the prices are about to go up, right? Buckle up!
One Week with Claude 3.5 Sonnet: Surprising Realities of AI Pair Programming
Debian weak keys from 2006-8 are still in use even as github SSH user keys according to this researchers.

There was a blog page with a lot more details. https://google.com/search?q=https%3A%2F%2Fcryptographycaffe....

The blog page is taken down now but you can see the google cached headline:

This post describes a survey of 20 million public keys from diverse sources on the Internet and cryptographic weaknesses found.
The way it's implemented is the way that almost everyone already does it. It's just more convenient now.
At this point I think you're being less than honest with yourself. A group organizing 60 protests is organizing at scale because they want to create the perception of a movement.

> There's an aspect of this reasoning that delegitimizes real protest movements

Who cares? Our goal is to tell the truth, not to legitimize this or that. The fact is Russians organize a lot of protests in our country. And they're not the only ones who do.
But there isn’t a finite amount of work. If we can do something with less then we should be able to do significantly more with more by applying the same optimizations.
This should be not just flagged but the entire blog blacklisted from HN. For fuck's sake, there's literally no value in a post that's nothing but "here's what some AI said about it."
It's fascinating how this keeps repeating like a bad burrito. For the actual situation: https://www.icann.org/en/blogs/details/the-problem-with-the-...
Market reactions go to immediacy usually. You don't see people stonking in or out of something for an outcome in 5 years time: It's immediacy which makes a wave happen.

So noting your long term investment ideas seem plausible, what do you think is the immediate short term impact on this kind of spend? Do you think Nvidia will sell more or less units in the next reporting interval? Because thats what most people are reacting to.

It would not surprise me if there are plenty of willing buyers, looking to buy in a dip and sell on the inevitable upward swing.

I am not a direct investor. I have no idea what my pension fund did, if anything.
We've changed the title now. Submitted title was "Slack Overflow".
I second this. I'll be very hesitant to buy in if it's locked to a cloud service. And people are waking up to this, with the Bambu controversy and all. Please don't make this mistake.
Incorporations are legal constructs. Any position in one is even more so.
2 points:

I've had people not know why I'm reaching out; I've also gotten references selected by the candidate that did not have good things to say. eg "X is difficult to work with."

And most people aren't good impromptu liars. So pushing a bit with a reference on what did you work on together? Why is this person fantastic? Would you hire this person? can get you far. And if the reference has left their shared employment, the classic: why haven't you hired this person?
Really enjoyed reading your article. Haven’t laughed as much reading a tech article in quite some time. You should consider doing some YouTube videos as your communications style is very humble and entertaining.

Made me wanna join in your garage and help out with the project :)
Or, given the legendary vindictiveness of the boss, bureaucrats are being cautious.
At the very top of the article is a collage of them
Nom released 8.0: A byte-oriented, zero-copy, parser combinators Rust library
Invisible State Machines in Rust: Navigating Rust's Impl Future Return Types
Discover how compiler-generated futures work behind the scenes—and why they’re both powerful and perplexing.
> the models are going to get better/smaller/faster overtime reducing our reliance on the GPU

Yes, because we've seen that with other software. I no longer want a GPU for my computer because I play games from the 90s and the CPU has grown powerful enough to suffice... except that's not the case at all. Software grew in complexity and quality with available compute resources and we have no reason to think "AI" will be any different.

Are you satisfied with today's models and their inaccuracies and hallucinations? Why do you think we will solve those problems without more HW?
I know one of their company's products, it's https://zsxq.com/. But it came out in 2015, and I've never tried any of their other stuff.
If you’re expecting to pop a bubble I think you’d buy options ahead of time to take advantage, instead of waiting for a recovery that may never come.
More like the shenanigans aren’t new and can move up and down. And there’s coordination between the segments in the chain. How is it that farmers are making less than ever before but the products are more expensive than ever before? Look at spot prices for food commodities like corn going back a decade or two. The price is flat. Why are prices of goods up? Why are companies now less efficient instead of more efficient? There are plenty of ways that middle men bloat costs. Profit margins are after expenses. Load up a company with debt. Sell all the real estate and pay rent. Bloat executive salaries. Play games with shell companies and other middlemen. It’s not rocket science.
I wouldn’t use a tree to depict a DAG.

While technically true, it’s not the first thing that comes to mind when you think about DAGs. And in the context of the Product Management, I would’ve split it into Trees and DAGs.

E.g. a tree is when you recursively subdivide tasks into smaller ones, where at the leaves you have a ready for execution tickets. While DAGs are more like workflows or pipelines.
Older Samsung TV with microphone remote suddenly only understands Russian
That's not how the word alpha is used colloquially. I believe error_logic is referring to its colloquial usage.
Well the site is currently showing a reference to a 2025 conference in India.

http://shakti.org.in/
Serious question - how do we know the Deepseek APIs ARENT chatGPT? Couldnt they have just registered for chatGPT APIs through intermediaries for their consumer facing app, release a open source model that in no way replicates the performance of the consumer app (“because of no RL”), and tell everybody its just really innovative training? They are losing a lot of money for now, but building a worldwide brand that im sure the CCP would be more than happy to foot the bill for mobing forward given its damage to the US economy and ability to steal IP from any coder dumb enough to use it.
But those extra dollars aren’t with consumers. Otherwise, yes. That’s where the money supply causes inflation argument falls apart — at least for this case.
Some sock puppets are posting nonsense...These directives to NSF, NIH, NASA, etc are coming directly from Trump appointees.

Edit: Here's the relevant directive from HHS that affected NIH, CDC, etc.

https://www.science.org/do/10.1126/science.z7pm10i/full/acti...
It’s a company at China, at first we dev software on windows and sale it, today we run am app name knowledge planets, url zsxq.com(in Chinese).
ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2025)
It won't last long. Agents are where AI is going to go imho. That means giving the ai software access to the internet, and that means telemetry.
Ah, but if your neighbor's stereo is faintly audible in the distance while you record a screencast, your video will get taken down off Youtube very quickly.
I too can't understand why? won't a cheaper model make people use AI more?
For example, the current $200 chatgpt plan is too expensive for me, but making it $4, I will become a customer.

Many small companies, which would never think about training models in house, could now do it.

I see this will only boost the AI hardware market.
So arbitrarily renaming established things for jingoistic supporters is just now a thing we're doing as a country?

If Trump wants to open that door, I wonder if there's any chance for future comeuppance. Are there any government-owned manure retention ponds?
Wasn't too hard for me. It took about a month for a full prototype, another month to turn it into a full product, and another to refactor it into the existing codebase. But the team had trouble with it and there was a lot of stuff they thought was impossible that turned out to be easy. It's the kind of thing I've been doing since 2021, so it could be a matter of experience as well?

I find most people have trouble because they assume it's like programming - they talk to it like a robot and assume it uses robot speak. But it's trained on human language and works better when talked to like a person. It's more like talking to a gifted child. Some,like Claude, have been trained to use tags and such. There's also a lot of core stuff that people don't understand, things like when to fine tune, when to RAG, when to prompt engineer and use large context windows, the difference between models and how they're trained. It's useful to read the documentations; GPT and Claude function similarly at first glance, but the documentation tells you the differences.

Many mistakes are solved in the same way you would do it with a child. If they're getting the answer wrong, there might not be enough context or enough hints. People say that LLMs only get sarcasm when they know the source of the material, well, that's exactly how humans understand sarcasm as well. Instead of asking, "Solve this math question," a prompt like, "What's the best way to solve this math question?" might lead to better results. Things like Cursor works so much better vs Copilot despite the same models, because it's trained to think on the solution.

I would recommend doing hackathons to learn. Set a small goal, one that can be solved in a day or two. Solve it using AI. If you can't, you'll at least learn why not.
It is hilarious to see people use bro pseudo-science to reconstruct dialectical materialism.
Do you have more info on free IOT sims? Are the plans just super low data rate?
Thanks. We build software and sale it to big companies at first,and then develop anti virus software etc.
Not if I only seeing updates from the people I actually know and explicitly connected to on the social graph.

The current problem exists because the content is chosen algorithmically
"Watching [Trump] more carefully recently has really changed my perspective on him (i wish i had done more of my own thinking and definitely fell in the npc trap)... i'm not going to agree with him on everything, but i think he will be incredible for the country in many ways!" -- Sam Altman
We need a global deployment of this as a protective measure just in case aliens like the ones in "A Quiet Place" invade.
After WW2 China was in another civil war, their economy was worse than Ghana's and they also were trying to build a nuke at the same time.
Google was literally declared a monopoly by a court recently. Facebook and Apple both are oligopolies or monopolies in certain market segments. Apple has a monopoly on app store and on device payments. These things are bad enough that they’re being litigated.
Major in the context of Japanese is rough, I can see a significant drop in quality when interacting with the same model in say Spanish vs English

For as rich a culture the Japanese have, there's only about 1XX million speakers and the size of the text corpus really matters here, the couple billion of English speakers are also highly motivated to choose English over anything else because Lingua Franca has homefield advantage

To use LLM's efectively you have to work with knowledge of their weaknesses, Math is a good example, you'll get better results from Wolphram Alpha even for the simple things, which is expected

Broad reasoning and explanations tend to be better than overly specific topics, the more common a language, the better the response
If a topic has a billion tutorials online, an LLM has a really high chance of figuring out first try

Be smart with the context you provide, the more you actively constrain an LLM, the more likely it is to work with you
I have friends that just use it to feed class notes to generate questions and probe it for blindspots until they're satisfied, the improvements on their grade s make it seem like a good approach, but they know that just feeding responses to the LLM isn't trustworthy, so they do and then they also check by themselves, the extra time valuable by itself, if just to improve familiarity with the subject