skysight-inc/HackerNews huggingface dataset:
https://en.wikipedia.org/wiki/Declaration_of_war

> Since 1945, developments in international law such as the United Nations Charter, which prohibits both the threat and the use of force in international conflicts, have made declarations of war largely obsolete in international relations

> Declarations of war have been exceedingly rare since the end of World War II.

> In his study Hostilities without Declaration of War (1883), the British scholar John Frederick Maurice showed that between 1700 and 1870 war was declared in only 10 cases, while in another 107 cases war was waged without such declaration

Most of these statements have source references.

While this doesn't cover the whole history, you are welcome to bring up sources contradicting my statement.
https://youtu.be/P2PIco48G4k
These are all NVDA owners coping, they dont want rational thoughts.
The hit in market cap is absolutely deserved, especially now with the threat of tarrifs.
Companies that actively decay society for profit? PS: Compamies that support change away from lawbased society also violate the license by virtue of it being based on laws and rules
A few years ago my mom looked at her smart watch (fitbit in her case) and it said she did 4 hours of aerobic exercise that day and her heart was elevated. She worked a retail job, so while on her feet all day, it was not aerobic. She immediately went to the doctor despite no other symptoms and they found cancer (which was then treated and so she is alive today). It isn't clear how much longer it would have been before that cancer was detected, but it would have been longer and so treatment would have been delayed which is generally bad.
> Nobody would pay crowdstrikes prices if it didn't stop attacks, or improve your detection chances

In my experience people pay because they need to tick the audit box, and it's (marginally) less terrible than their competitors. Actually preventing or detecting an attack is not really a priority.
I mean, they got involved for United Fruit Company..
I'm using Cursor's composer agent mode with Sonnet 3.5 (I don't use OpenAI on principle, snakes). It does a great job of finding the relevant code without overloading its context window.

I experimented today with Aider (to get R1 involved) and had less success, but it might be that I don't have the workflow down.

I have found cursor can handle a .NET C# back-end using highly standard code structures very well. SignalR for networking.

I've created servers and very basic HTML visualization for three projects - a fairly simple autobattler (took a day), a web-based beat-em-up (2 days), and now a bit more ambitiously my dream RTS-MMO (3rd weekend running).

I started with concise MVP specifications including requirements for future scaling, and from these worked with the AI to make dot point architectural documents. Once we had those down I moved step-by-step, developing elements and tests simultaneously then having the agent automatically run the tests and debug. The test-driven debugging is the part that saved the most frustration, as the initial implementation was almost always broken, but leaving the agent to its own devices (tabbing in and typing "continue" when hitting Cursor's 25 tool call limit, sometimes for hours) the tests guided bug fixing and amazingly it got there fairly consistently, though occasionally it will go off the rails and start modifying the tests to pass or inventing unwanted functionality.

The code is as standard as possible, with the servers all organized identically API -> Application -> Domain <- Infrastructure, and well separated between client/server. Getting basic HTML representations wasn't an issue, but it does begin to struggle and requires a lot more direction when it comes to client-side code that expands beyond initial visualization. I had a lot more success with Monogame C# than Phaser or other web formats (e.g. I quickly gave up on SFML, same issues you were having).

I'm a professional game developer but without formal CS/programming training, so I'm aware of my requirements but not always how to implement them cleanly. I understand the code it writes which feels vital when it occasionally rolls a critical miss, but these projects would have taken me months without AI.
No one is going to let you talk to your current manager and let them know you are looking for a job.

On the other hand, many companies don’t allow managers to give references.
I 100% gaurantee you don't recycle. Perfect, enemy the good. That said, couldn't agree moreabout air travel or travel in general; a monument to man's self endulgent waste.
That assumes demand remains constant. Maybe lowering the overall cost to train a model will mean that more people want to train models, thus raising the demand.
Intel slashes prices of Xeon 6 CPUs by up to $5,340
Help me understand. The article claims 20MM users with an average of 24 prompts per day. Do we have any information on the average number of prompts per user? I suspect it would follow a Pareto distribution, with a small subset consuming much much more, but no clue as to where that average assumption holds.

Edit: a quick search points to 5-10 prompts per session but we’d still need to know the average number of sessions
This can all be true, and Nvidia's market cap can still go down A TON.

Nvidia's market cap is based on extreme margins and absurd growth for 10 years.

If either of those nobs get turned down a little, there can be a MASSIVE hit to the valuation - which is what happened.
WebKit Features in Safari 18.3
Related tool: ani-cli

https://github.com/pystardust/ani-cli

Has termux builds as well
LLVM 20 Promotes SPIR-V to Official Back End, Enabled by Default
That will only work if they prosecute the detectives for falsifying information on a warrant application, which they won't. The really scary part is how many innocent people could have been jailed because of sloppiness that wasn't caught.
> The fear is really unwarranted.

Here's the deal: you have no right to tell people how to feel.
2048 GPUs cost $400m? pretty sure the GPUs don't cost 200k each?
Chinese Quant Whiz Built DeepSeek in the Shadow of a Hedge Fund Rout
Nvidia was and still is overpriced. Yes, AI is now on the mainframe stage. Soon it will go to consumer devices with a billion of potential users and the training and the required hardware for it will be very different: much less power consumption, continuous training etc, just like our or animal brain. Consumers did buy computers for $1000 in 1990s. They may buy a robot for $10000 tomorrow. The benchmark for the market cap in this segment are car manufacturers or Intel in 1990s.
Easy, Socrates.

I linked a book by an author who lays it out better than I can. Otherwise, I would be writing the book. This is an internet forum, not an academic paper.
I couldn't find TINFA on Yahoo Finance but I bought INFA assuming that was close enough. Thanks for the financial advice. :P

/s TINFA -> this is not financial advice
With current generation AI we really need AI + Humans to have good results. It seems likely that the entire LLM branch of products will have this limitation. If that's the case let's race to make the best open source AI as fast as possible, so it can be spread as wide as possible and can be used to fix our shared problems. It's the spreading widely that will lead to breakout results in fields such a cancer research just as much as having the most intelligent system, because humans bring some X factor for creativity/ingenuity/novelty.
https://archive.ph/Z3w9H
You are right. I never suspected this would be the case.

Still, social/income security and healthcare (and education) should be the last places one should cut budgets.

Also, the US spends more in their military as a percentage of their GDP than any other developed nation. This sounds like an excellent place to cut. The US government subsidizes a lot of weapons research as well, for companies that'll later sell the tech the government helped them develop to foreign countries at a profit. I don't think it's fair to subsidize a private enterprise this way.
Nvidia AI Chip smuggling is a huge business in china. DeepSeek company on its own smuggled 50k h100.
Here’s the crux:

>At a Jan. 9 hearing, McMonagle agreed with defense attorneys, saying the AI identification of Tolbert was akin to an anonymous informant, which is not enough to establish probable cause.

Face matching can be used but it is not admissible evidence in court, and so you can’t use it for a search warrant, you have to find other probable cause.
So after looking for many alternatives, I think what I'd do now is use `mise` and/or `aqua` which seem well-designed exactly for that purpose, and can handle various stacks (python, js, etc)
No, that's not how it works. Especially not on a wrist device.
Adjuncts apparently get paid pretty poorly. But the fact that it's hard to make a living as an adjunct professor/lecturer doesn't change the fact that it's at least as hard to make a living doing online courses.
UIUC CS241 - https://pkgamma.github.io/cs241-site-clone-fa19/

UCB's CS162 - https://cs162.org/

MIT 6.1810 - https://kaashoek.github.io/65810-2023/

These were tablestake courses that teach you the basics of OS and Systems Development (eg. Synchronization, Scheduling, etc).

After you understand that, then you'd start digging into HPC classes AND then ideally go into ML.

At least, this was the workflow and mental model I followed a decade+ ago.
Garmin Forerunner stuck cycling through triangle screen
Users report their Garmin devices becoming unusable and the devices getting stuck in a boot loop. This not only seems to impact Forerunner devices. I experienced the same on my Garmin Forerunner 255 when I went running this morning.

There's also Forbes article now but it refers to the Reddit post: https://www.forbes.com/sites/andrewwilliams/2025/01/28/garmi...
I don’t really understand your point.

The United States Congress, and the executive branch, they never do anything, to the point where you find it absurd to suggest that they would? Everything is done by the ”business elite”?
That’s the problem template languages solve. That button could be a partial, and you include it where you want a button. And with grep, you can track it down.
Portal – sell your freelance services with style
Hey hackers,

Roman here, maker of Portal

As a product designer myself I always felt that the whole freelancing process of sending proposals, collecting payments, transferring deliverables was way too convoluted and hideous.

So I got this ideas for Portal - a digital space for your freelance project that replaces PDF proposals and invoices, and allows you to easily collect payments, down payments, tips, run subscriptions and share large deliverables easily and in one place. There's a heavy focus on customization, so that you as a creative freelancer can express your skill and your taste.

I'm building Portal primary for creative professionals like me, but either way, whether you're one or not, I'd love to hear your opinion.

Also worth mentioning, the waitlist is there only to allow people request early access while I'm polishing the final details. The app itself will be available within the next couple of weeks :)
You are drowning in hypotheticals muddied by your own worldview. I can also say that there are 8 billion people on Earth. For most of them, green isn’t in their top 5 favorite colors.
Right. The myth actually originates from Social Darwinism - https://en.wikipedia.org/wiki/Social_Darwinism which was what influenced Jack London's thinking (see "The Call of the Wild", "White Fang" etc.) but at the same time he was also a Socialist (see "The Iron Heel", "The People of the Abyss" etc.) See his "views" section here - https://en.wikipedia.org/wiki/Jack_London#Views
Interesting.

What is your view on Piracy, Plagiarism, and the small effort Udemy seems to do, to limit the damage done to course authors?
I certainly didn't know about it. Was there any high visibility use of it over social media in the past few days?
Maybe, maybe not. Personally I find it unlikely. There are not a huge amount of folks needing to train their own model.
Why DeepSeek Could Change What Silicon Valley Believes About A.I
Looks very nice, however it doesn't seem to support subsonic yet, which means no Android Auto integration through Ultrasonic.

I'm going to keep watch on this, there aren't many music players with interfaces that look that nice.
https://archive.ph/58djz
> A computer cluster based on 2048 GPUs would have cost around $400M about two years ago when they built it.

OK, but does this quant fund have this amount of a spare resources to take a flyer on a vanity project?
I honestly don’t know why people aren’t more upset by this and still get on their knees for Nvidia. They made the decision specifically to cripple consumer card memory because they didn’t like data centers were using them instead of buying their overpriced enterprise cards that were less performant. They removed NVLink because people were getting better performance out of their two $400 cards than the $1,500 cards Nvidia was trying to peddle. They willfully screw consumers and people love them for it.
> Success Engineer

Yikes. I still haven't gotten over "Customer Success Agent".

I am so not ready for Success Engineering.

AI, take me away.
Over the last few days people have asked me if they think NVIDIA is fkd.. It still takes two H100s to run inference on the DS v3 671b @ <200 tokens per second.
Is this akin to the quants already being done to various models when you download a GGUF at 4 bits for example, or is this variable layer compression something new that can also be make existing smaller models smaller so we can fit more into say 12 or 16 gb's of vram?
In my experience with deepseek and o1, openai's big talk about (and investment into) hallucination avoidance might save their hides here. Deepseek may be smarter, and understand complex problems better, but it also seems to make mistakes more often. (It's as if it's comprehension is better, but it's worse at memorization/recall.)

Need an LLM to one-shot some complex network scripting? as of last night, o1 is still where its at.
There are many tools that arent written in golang, and therefore not manageable via this approach. I don’t really understand why I would use this.
And a pile of GPUs doesn't really do much good without servers, racks, networking, power, cooling, and a building to house it all in.
OP is downvoted because of "students should be at a table with a book and that's it", like it's the 50s. LLMs can be wonderful study aids but do have plenty of issues with hallucination, and they should therefore only be part of a holistic research mix, alongside search engines, encyclopedias, articles and yes, books. Turning Amish is probably not the right way to go though.
I don't really have the patience for ignorance being masqueraded as expertise.

If you have something to prove, then you're welcome to show the world how its done. Doubt me all you want, but you can't doubt the rest of the world.
This is the technique that developers used to build Aurora, not Aurora the end-product.

Customers writing code against Aurora are still doing plain ol' destructive CRUD mutations "now".

Event-sourcing is write-ahead-logging is CQRS is journaling-file-systems is Git-reflog is persistent-data-structures is copy-on-write. It's all good stuff and is decades old.
China's DeepSeek just dropped a free challenger to OpenAI's o1
Damn that must be frustrating. Tangentially similar experience - I flew from Ireland to the US in 2007, and at the end of my trip spent 11 days walking around Manhattan with little to do. Do to the lack of online banking at the time I couldn't readily check my bank balance, and thought (wrongly) I'd run out of money. Anyway - I had absolutely no idea that there were 'things afoot' in Brooklyn, nor how easy it would have been to hop a train to Williamsburg, or Bushwick. I didn't come back again till 2013, and caught a mere hint of the tail end of what seems to have been an extremely fun era.
How much video RAM was needed for similar performance a year ago?
WWatch XB-1's historic first supersonic test flight
Changed the title only because i want to highlight the live stream of the flight today!
I'm going to call the above rule, "Goldilocks Cynicism." Words to live by.
Forgive me! Whenever I write internally or externally, it's usually a super long rambling piece and then we cut it down. The hardest part about writing for me making sure that everyone can have something to take away from it.

I'll zoom out- Railway got its first users from a Twitter post from the founder asking people to try the product. The founder then sat in a Discord voice channel during the winter break just answering mundane questions from people. Railway (like many DevTools at the time in 2021) was significantly more free than what it was today.

When I joined, we made the determination that Support Engineering, for the sake of our customers (staying sharp) and mental stimulation (we're not just help desk) - build our own automations to help users. (Blog post here: https://blog.railway.com/p/support-engineering-is-engineerin...)

(Railway also, intentionally, keeps our team small. Not out of elitism but out of alignment. The hardest part of working remote is making sure that people are on the same page. The tradeoff is that we are busier and need to be mindful about what work we take on. I, however, take it all on!)

Around 18 months ago or so- I started getting pulled into more revenue conversations as we moved upmarket. Railway moved into it's first proper plans. A lot of the prevailing advice we were getting was to start gating the product and start booking demos. So we did that for a bit much to the annoyance to developers. Then we started emailing them to see if they wanted to chat- I can't speak for you, but a lot of people in our book didn't reply. (Blog post: https://blog.railway.com/p/scale-not-sales)
In Railway's eyes- we think that Support/Sales is just the same thing just at different points of the developer's journey. A lot of engagements begin with a question.

The channel that did work was Slack Connect. After answering a question or two with companies on there- their usage would grow a lot. So we scaled that out!

Again, sorry if it read like an ad- not my intent.
I find reports of these GPUs costing $70k each 6 quarters ago [0]. So, maybe not $400m, but a $100m+ number seems about right.

[0] https://www.tomshardware.com/news/price-of-nvidia-compute-gp...
The right reflex here is to push for clean energy usage; not to constrain energy usage. There's this false narrative that constraining energy usage helps solve global warming. It doesn't. It helps slow down the pace at which the problem gets worse. Which sounds like it's better than nothing but isn't that helpful.

So far carbon emission growth is slowing but it hasn't negated. We need negative growth of carbon emissions. But preferably without killing our economy, which like it or not generally involves increased energy usage. It's economic growth that generates a dynamic of stimulating the fastest growing (generally poorest) nations to consume more energy. Without too much concern for the damage they are doing.

So, killing sources of energy usage (aka. economic growth) is not a solution. We can all live like frugal monks and hope for the best. Except there is no royal "we" and good luck convincing the 8 billion or so people on this planet to do so. Especially in those fast growing less wealthy nations. It's a really hard sell.

The alternative is switching to clean energy, which we are actually doing at an accelerating rate. It's the thing that works best. It's the thing that has a measurable impact. Like right now. And the irony is that creating more demand for clean energy actually reduces the proportion of dirty energy we have to worry about. To the point where fixing that becomes a manageable challenge. A lot of places already generate double digit percentages of their energy with renewables on an annual basis. In a few decades that's going to result in some notion of net zero at which we're carbon negative world wide. That's a trend we can accelerate that actually creates economic growth.

So, AI and energy usage is both an energy challenge and a massive economic opportunity. Meeting this challenge isn't about restraining the use of AI but about sourcing the required energy for it sustainably. There's no good excuse for firing up a lot of gas generators to power AI; which is something Elon Musk has done at his AI company, for example. That's just bad. And of course our usual cloud providers are still a bit hand wavy about where the energy for their data centers comes from. Planting trees (or other carbon offset nonsense) isn't the same as not burning any fossil fuels. One doesn't compensate for the other. People need to stop burning stuff, not compensate for the fact that they are burning stuff.

But luckily, renewables aren't growing because they are green but because they are cheap. Cheap energy from the sun or from wind is an easy sell. Even to climate change deniers. Renewables are attractive to any large scale users of energy. Like data centers. That's a good thing.

The solution lies in making cloud providers hurry up their transition to green energy. They are super profitable so there's little excuse on that side. They can afford to invest in lowering their energy bills. Their clients could be a bit more critical of with whom they choose to host. Even a little bit of pressure from that side is helpful. If AWS starts losing big customers because their data centers are too dirty, they'll bend over backwards to fix it.
This is of course the more common approach, I was aware that our approach is not usual which is why I posted.

You don't list the disadvantages so cannot respond to that. But I really like the code resulting from flipping it around. It just fits how I think and I now feel "unsafe" messing around with code that mutates state directly.

The programming style of those mutable relational tables is a bit like mutable objects in Java -- eventually people moved to more stateless code and immutable objects. The same shift doesn't have to happen in the storage layer, but it is what the OP (and I) argue for.

I really enjoy having the tools around to replay any object from history as part of the online backend. For instance, consider if there was a bug so that customer input was buggy in some timeframe. Instead of writing a job that looks through the history of each customer and tries to figure out if you should mutate the data, then roll out that ad hoc mutation while holding your breath -- you can add some rules when fetching the relevant events on lookup-time and change how they reflect the state; i.e. a change that is only read only and only changes deployed code and not data, and roll back by only rolling back the service not by reverting a data change.
On a different scale, when I was in an online pub's blog network (or my own blog), I'd have posts that I was fairly proud of that basically got very few views/engagement and posts I considered sort of throwaway that drew a ton of people in. Other than posting some level of quality semi-regularly (probably in a particular niche), yeah, there's a lot of randomness.
Is it not still better to just avoid using all this energy though? Do we really need to have these LLM tools everywhere?

And more importantly, when do we stop justifying the use of one finite resource by pointing to all the other ways we could reduce use but don't? Just because people waste a bunch of energy, water, wood, etc doesn't justify using it however you want, at least in my opinion.