skysight-inc/HackerNews huggingface dataset:
Hi, I just renewed my sublime text and merge licenses after starting in 2021. Thank you for sticking to simple product excellence and not following trends. Thanks for focusing on the editor for human users and not pushing some service based enterprise licensing system or ai tooling where the company aspires to 1000x.
It’s a great product and my most used PC software.
Life's building blocks in Bennu samples
The real value in this: a new way to more easily disable Windows Defender on Windows 11.
> EU should maybe focus on like not having titled nobility and monarchy

In Europe we have titles for show, in the US you don't have the titles but you still have the lords
DeepSeek-R1's multi-step bootstrapping process, starting with their DeepSeek-V3 base model, would only seem to need a small amount of reasoning data for the DeepSeek-R0 RL training, after which that becomes the source for further data, along with some other sources that they mention.

Of course it's possible that DeepSeek used O1 to generate some of this initial bootstrapping data, but not obvious. O1 anyways deliberately obfuscates it's reasoning process (see "Hiding the chains of thought" section of OpenAI's "Learning to reason with LLMs" page), such that what you see is an after-the-fact "summary" of what it actually did; so, if DeepSeek did indeed use some of O1's output to train on, it shows that the details of O1's own reasoning process isn't as important as they thought it was - it's just having some verified (i.e. leading to good outcome) reasoning data from any source that matters to get started.
My feeling is that they will ban DS anyway because, like TikTok, it can become a massive intelligence source for the CCP. Imagine sending all your code to it, or your internal emails.
https://archive.fo/EOiv1
My preference is that it could use .ssh/config to explore the remote machine and then open/edit the file/dir.
> The concept of "Induced Demand" is easily explained by the default state of the downward sloping demand curve, and upward sloping supply curve. In basic economic theory, if you reduce the cost of a good, more people will consume it.

It is easily explained by that because that is literally the definition of induced demand (see sentence one of wikipedia). The concept has a name because its important to discuss the externalities and long term implications of that additional consumption.

w.r.t your highway example, how you define the market is extremely important and is sensitive to context. The market for "transportation between suburb X and city Y" experiences a durable change in the demand curve as a result of the construction of all that cheap housing. Both market definitions are valid but if your concern is e.g. urban sprawl then contextually one is a lot more relevant than the other. All that said, you can think of the change in the demand curve of market B not as induced demand itself, but as a consequence of realized latent demand (i.e. induced demand) in market A (cheap housing with accessibility to downtown). Alternative solutions to realizing latent demand in Market A (public transit, denser housing, etc.) have different and potentially preferable externalities which is why considering induced demand and its consequences are important.
natural consequence of jobs optimising for productivity but actually abstracting all power to some mythical C suite job.
Long covid, and CFS, are almost certainly the same disease. The person you're replying to is massively overselling the efficacy of treatment though, most people with this kind of fatigue tend to improve to a lower level of functioning than before their fatigue. Nobody has much idea of what the underlying disease is, and there's no evidence that you can cure it with any treatment
Surely the architecture released as a HF transformers python file counts as "open source". https://huggingface.co/deepseek-ai/DeepSeek-R1/raw/main/mode...

Yes training is left as an exercise to the user, but it's outlined in the paper, and a good ML engineer should be able to get started with it, cluster of GPUs not included
For remote IT, in the shitter.....
Expecting megacorporations to play by the same rules they want us to follow when in comes to their rights is pretty far from copyright maximalism. Anti-human is giving corporations more rights than humans.
AI model output is not copyrightable, though presumably that will change soon.
I was expecting Jack Dorsey to do this with Twitter and SQ/Cash App (since he was the founder and CEO of both of them) ages ago, but it never happened. One of the most baffling losses of steam and vision in my life to watch him do so little for so long.
For people who have the disciplinary background in neural networks and machine learning I imagine that replicating that paper into some type of framework would be straight forward right? Or am I mistaken?
There's also Mark Zuckerberg from Facebook.
> It is absolutely undeniable that people's diets are the result of the culture they live in. Many of our behaviours are the result of the advertising industry, data science and algorithms being applied like an attack on us.

Being influenced doesn’t absolve someone of accountability for their actions. You will be influenced by many things throughout your life, but your decisions as an adult are your responsibility. In the modern era of the internet and unprecedented availability of fresh foods, you don’t have to let your diet be defined by society and ads. Seeing a McDonald’s ad isn’t an “attack” that forces you to choose to eat McDonald’s.

Thinking that we can’t be blamed for our decisions, in my experience, is counterproductive to overcoming bad habits. People who think that Mark Zuckerberg is forcing them to scroll Instagram for 3 hours per day should rationally choose to uninstall the app or set time limits.

Yet I see the opposite happening more often: They believe that because “the algorithm” is addictive, they shouldn’t feel bad about using social media to excess. It’s not my fault, it’s the algorithm! Blaming something external creates the illusion that we shouldn’t be accountable for our choices, which only makes it easier to make more of those bad choices.
Elon actually did engineering and had some good ideas. I'm talking pre-social-media-brain-rot Elon.
Yeah might be worth regularly eating foods like kimchee or kefir. Or high quality yogurt. It seems to help with my psoriasis which is related to inflammation.
With an LLM, the actual 0s and 1s of the model are fairly standard, common, and freely available to anyone that wants to use them. The "source code" for an LLM, is the process used to create the outcome, and to an extent, the data used to train with. DeepSeek released a highly detailed paper that describes the process used to create the outcome. People/Companies are actively trying to reproduce the work of DeepSeek to confirm the findings.

It's more akin to scientific research where everyone is using the same molecules, but depending on the process you put the molecules through, you get a different outcome.
> we used a combination of two data collection methods: a survey administered to 651 employees and in-depth interviews conducted with 35 employees from the same organization.

I’m no statistician but surveying a single org does not seem to be a representative sample of the whole population of software developers.
Is anyone aware of a site that shows various builds or off the shelf systems (new and old) and how they handle various models? Like I’d love to see the above vs a Mac Studio 198gb vs an old m1 studio vs other models. I don’t have $6000, but what is a good happy medium I could get to on a used system with a smaller model.
Makes no sense in the Us either though with basically everyone having access to Zelle.
I'm getting increasingly irritated by Grammarly's attempts to boringify my writing. I've even considered doing away with it entirely, even if it means I have to do my own spell-checking.
yes and as a bonus they may get sued, which in the long-term, makes free / offline models to not be viable

It would be so much better if all models were trained with LibGen.
I'm a professional data scientist and still use TextMate, AMA
Yes, he also said people sending payments on Twitter would become 50% of the world financial system (lol)
You have to test that your bundle _actually works_, especially if you are using non-standard compression.

But yes- you could bundle less, but that would be a disadvantage, particularly if a bundle suddenly fails and you don’t know which change caused it. But maybe that’s not a big deal for your use case.
It’s also important to recognize that the Chinese government is known to walk into internet service companies and demand they censor, alter data, delete things. No court order or search warrant required.

China considers industry to be completely subservient to government. Checks and balances are secondary to ideas like harmony and collective well being.
> member states’ demands over fishing rights and a youth mobility scheme

> without early assurances on fish and mobility

> bloc’s demands for continued fishing rights and a youth mobility deal

> The EU has made clear that a youth mobility agreement to allow for 18 to 30-year-olds to study and work in the UK — which Brussels is calling a youth experience scheme — is vital to any wider reset with the UK.

Why is the EU so desperate for EU people to go live and work in UK? I thought the EU was superior in every way and the UK was 3rd world gutter, a money laundering country that produces nothing with worse pay and living conditions inflation than glorious world super power EU?
I wonder if this is due to the "repeal" of Net Neutrality. I know little about network architecture so just speculating.
> DRY, they make the most hard to debug monstrosities full of meta programming all so they could write a thing one one line of code instead of 3.

I feel like this is one of the mistakes that many developers make, and it's achieving a kind of wisdom to eventually realize it -- that optimizing for DRY above all else creates a mess.

I've definitely seen this done in many languages, but I've been mostly using ruby so much these days that I can't actually compare. Do any people who do have deep experience on multiple platforms (these people are few and far between) find this problem is worse in ruby than other places? Maybe it's that ruby gives you tools such that when you do optimize for DRY abstraction above all else you create a bigger mess, compared to other platforms?
Using v2ray with Caddy to Access the Internet in China
AaronSw exfiltrated data without authorization. You can argue the morality of that, but I think you could make the argument for OpenAI as well. I'm not opining on either, just pointing out the marked similarity here.

edit: It appears I'm wrong. Will someone correct me on what he did?
I guess something like a kickstarter campaign would be needed to get together the millions of dollars needed per training run
Nadella and the board approved billions of dollars in spending for AI. It's going to be in every single thing whether you want it or not. Otherwise, there will be a shareholder lawsuit.
Becoming a Force Multiplier
Between the ability of DS R1 to be run offline in ollama and OpenAI publicly kvetching that DS might have "stolen" their data (hahahahahahahahahahahahahaha) I'm pretty sure this isn't just some GPT Pass-through like other LLM Cons of the past. (not to mention DSv3 was released in November and no one has claimed it is a pass-through either)
Ah, I understand now.

For one thing, you could weaponize asteroids as a second-strike response, if there's an imbalance where one superpower has asteroid deflection and one does not. Even if it's delayed by months, the certainty that the asteroid will eventually hit establishes a deterrent against attacking the asteroid-controlling country. If there's defenses against ballistic missiles, this circumvents those.

For another, the asteroid-deflecting nukes are dual-use as weapons themselves. A nuclear warhead in deep space defeats conventional ballistic missile defenses. If that warhead is turned towards Earth, that (first-strike) attack's not visible to the adversary until a few seconds before impact—unlike an ICBM launch, which has tens of minutes of warning, enough to launch (conventional) interceptor missiles.
After a recent Show HN, I got an email from someone saying that they'd set up a page for my 'product' on their product showcase startup site. I followed the link and saw my open-source project pitched as ChatGPT slop. It felt like a violation because it wasn't just an aggregated link, but a rewrite of my readme with an associated 'pitch'.
Free bank transfers are not mandatory in the EU. The bank just has to charge the same for a national transfer as an EU transfer: https://europa.eu/youreurope/citizens/consumers/financial-pr...
I don't really use it as a (lightweight) IDE or the like anymore, but as a place to keep unstructured notes and snippets and the like because SublimeText never ever loses anything unsaved. It's pretty much indispensable at this point, whenever I compose something a bit longer or have some text to do a search-replace on or just some text I need three steps later in what I'm doing, it goes in another tab in Sublime. I have at least one tab I re-use since before Covid-19, it's absolutely fantastic how stable it is. Love it for that.
For the curious, it was vertical integration in the railroad-oil/-coal industry which is where the money was made.

The problem for AI is the hardware is commodified and offers no natural monopoly, so there isn't really anything obvious to vertically integrate-towards-monopoly.
for evals? time to test
My guess is that OS vendors are the real winners in the long run. If Siri/Goolge can access my stuff and core of LLMs is this replicable then I don't see anyone downloading any apps for their typical AI usage. Specially that users have to go out of their way to allow a 3rd party to access all their data.

This is why OpenAI is so deep in the product development phase right now. They have to become the OS to be successful but I don't see that happening
"Someone is probably selling drives that are being retired from datacenters."

I would suspect CHIA miners. CHIA miners have long been known to reset SMART parameters for resale:

https://news.ycombinator.com/item?id=28436558

As that (absurd) project
Libra was shuttered due to feds saying “we have no legal reason to stop you but we still wish you to stop” and Zuckerberg (after some things we are not privy to) agreeing. There was a submission on this from an insider sometime in the past year.

(IMHO: no loss to the world whatsoever.)
Thank you for the explanation, that cleared it up a lot for me. In astro I didn't yet use SSR, I will try this out as well.

I do still believe that it may be good to point this out in the docs more thoroughly. In general though, couldn't there be some situations where using a universal load function like this may increase the chance for some security critical logic bugs?
> all text data is personal data

Where did you get that from lol
Not to mention the total dodge when Murati was asked about training on the YouTube corpus during that television interview.

Sorry for the Short: https://www.youtube.com/shorts/M0QyOp7zqcY
Only if you managed to leave the trajectory the same if it was already on a collision course or change the direction to a collision course. Do you think you can control that with a nuclear explosion? You probably don't know enough about to the system to make a high confidence prediction of the new outcome.
This makes no sense. Elon Muk hase nough money that he doesn't need to partner weith Visa at all. Especially in the EU all he has to do is acquire a license for an E-Money Institute.

This is nothing but a glorified patreon or twitch subscription.
That's cool, they must be investing more in their watches lately, the couple I had right after Pebble died were very basic. The stuff they did worked well, but they were similar to how you bought a GPS back in the day, what it came with was what you got and there were minor updates and you could get new maps but not much else
There was an early SMR talk by a WD (IIRC) engineer to a crowd of ZFS devs and sysadmins, and the engineer thought it should fit well because he misheard the default record size being 128MB rather than the actual 128kB, so thought it one record would fit one zone.
Venmo, Facebook Messenger payments, PayPal, CashApp, Zelle, now X.

These are all symptoms of a complete failure of our (US at least) banking system to provide a secure, nice to use system that is universal.

The closest we get is Zelle and it's a complete joke with vague mechanics that are sometimes-email-sometimes-phonenumber.

My personal bank's integration to Zelle is clunky and takes about 10x as much effort vs Messenger pay or Venmo.
PayPal was definitely a useful thing years ago. Now, online payments are way better than they used to be. Before though, PayPal was a nice layer to send money without checks. I got some of my earliest internet payments via PayPal when it still felt sketchy to receive money online.

That said, PayPal (the product) is much less useful now IMO with Venmo (I know they own it now) and all the digital wallet payment services.
Great! Let´s go there, kill all life and destroy everything, like we are doing on our own planet! Just imagine how RICH we can get!
1 hour? How do you even justify getting equipment if you don't intend for it to be used?

Those machines will be obsolete before they have been used the equivalent of 2 days.
>Energy-efficient lighting, such as LED bulbs, has become a popular solution to reduce energy consumption. However, it serves as a notable example of the Jevons Paradox. While LEDs significantly lower the cost of lighting per unit, this reduction often leads to increased usage. For instance, people may install more lights in their homes or businesses, use them for longer durations, or adopt decorative and outdoor lighting more extensively. As a result, the total energy consumption for lighting has not decreased significantly despite the efficiency improvements.

This felt false to me, LED bulbs are generally 10x more efficient, so the average number of lights would have had to increase 10 fold, and this is ignoring the savings from not having AC cool those other 50 watts a bulb that went to heat.

So I took a look at the source, which doesn't actually have a source and just links to another white paper that claims light pollution increased, but is unclear about how much and due to what. Perhaps that whitepaper links to another whitepaper, but this is where I stopped.

Kind of makes me question how often I blindly trust Wikipedia, though this point in particular is pretty minor.
Most believe that they're trying to prevent safety issues with overheating batteries. This update prevents the battery from being charged too much or too little.
I think this is a great suggestion, but as a remote employee with occasional travel it sure feels bad to pay for the storage upgrade for a macbook pro.
Alibaba launches new AI model, says it outperforms DeepSeek
Well, yes.

Handle PII as you would handle live ammo. Always know where you store it. Don't toss it randomly. Don't experiment with it; neutralize it first!

Use it to hit particular targets, and never shoot it at random directions.
Reminds me of that quote from Paul McCartney and John Lennon (from The Beatles) about Jesus (from the Bible)...
They do exactly this all over the world. Look at WhatsApp Pay.
"Babylon rectangles"
My father bought me an Amiga 1000 at a Federated Group store in late 1985.

Coming from a C64, my mind was blown by the Amiga's graphics and the multi-tasking. I could run the amazing RoboCity animation demo and then drag it down half way and see my Workbench.

Marble Madness on the Amiga looked and sounded just like the arcade.

1985 was a magical year in general for me, but a big part of that magic was conjured by the Amiga.
Bioinformatician here. These kinds of p-values are common in these kinds of experiments (GWAS, or association studies), and happens almost automatically once you get enough statistical power.
The big problem is that once you have so much statistical power, you get very small p-values from small effects, and then the often-overlooked assumptions behind frequentist statistics begins to matter. Are your samples _really_ idenpendent and identically distributed values? No. Are they really normal distributed? No.

Also, things like gut microbiome and depression are linked through what some people call the _crud factor_, which are weak correlations between nearly all social aspects. For example, probably depressed people eat differently from non-depressed people, causing changes in their gut microbiome. Probably, there are variations in human population's depression rates and obesity rates (correlated with gut microbiome) that somewhat correlate.
When you have enough statistical power, you see the crud factor everywhere.
Source:

- Training SW [x]

- Inference SW [x]

- Evaluation SW [x]

- Data [x]

Output:

- Weights []

DeepSeek is closed-source with *open-weights*
Also, "why Visa" from the X.com perspective. As far as I can tell, Musk's vision was WeChat for the Western world. The platform for everything. WeChat replaces Visa, it doesn't use Visa or a competitor. If X.com is using Visa then Visa is the platform, not X.com. Using Visa feels like an admission of defeat to me.