skysight-inc/HackerNews huggingface dataset:
The evidence is mixed, but some studies (e.g. Jaeggi) did find transfer effects from n back training to fluid intelligence.

It only takes 40 mins a day for 8 weeks to test it out. Much less time than the commitment to learn a new language.

Having tried it, I wouldn't be surprised if the mixed results were due to improper adherence and misunderstanding of how n back works by some study participants. In other words, I think it's possible that results would be less mixed for someone who is already starting from a point of solid intelligence and who is driven enough to put in the hard,focused work to get to higher n back levels.
God really lowered his standards after he created Earth.
I'd agree that when CDs get scratched there will be parts of the CD that some players can no longer handle. The great thing is that when your CD gets scratched to where your old CD player can no longer play it, there's a good chance your computer can rip the CD without issue so you can burn it to a CD-r.

It's not a perfect solution, but in most cases, the raw data on the CD stays intact in one way or another.
It is a good way to learn Java basics.
I still have mine sans player.
What are you even talking about?

You said a month's salary; cedws said "third world" devs can't afford $5000 — and this is correct, third world devs can't afford that. cedws did not say EU, they said third world, at least not here. You said EU, not them.

When you reply to me with "With salaries like that it's not first world either", who is "they"? The country I said explicitly was third world? Because that's a tautology.
[LLNL] "US scientists achieve net energy gain for second time in nuclear fusion reaction" (2023-08)
https://www.theguardian.com/environment/2023/aug/06/us-scien...

But IDK if they've seen recent thing about water 100X'ing proton laser plasma beams from SLAC published this year/month;

From https://news.ycombinator.com/item?id=43088886 :

> "Innovative target design leads to surprising discovery in laser-plasma acceleration" (2025-02) https://phys.org/news/2025-02-discovery-laser-plasma.html

>> Compared to similar experiments with solid targets, the water sheet reduced the proton beam's divergence by an order of magnitude and increased the beam's efficiency by a factor of 100

"Stable laser-acceleration of high-flux proton beams with plasma collimation" (2025)
https://www.nature.com/articles/s41467-025-56248-4

Timeline of nuclear fusion:
https://en.wikipedia.org/wiki/Timeline_of_nuclear_fusion
The last version was chunky and cheap looking. I couldn't find a use for them and sent them back. And that was when I worked there. Wouldn't touch them now.
I'm male and I get visual auras with migraines (not often, only once or twice a year). It's like a small area of old TV static or (as I call them) "dead pixels" in my vision. It's usually centered right in the middle of my vision, so reading becomes impossible but I could do something else.

It usually spreads a little bit before dissipating. They can happen with or before the actual migraine pain.
They've given out Source 2 to others AFAIK.
Please don't try and box the user base of a web community. It's exclusive rather than inclusive. You have no idea who is reading these pages.
Getting through a tech interview seems like a concrete problem.
Would be great if there were more details on the costs of doing this work - especially when loading lots of tokens of context via repo mix and then generating code with context (context-loaded inference API calls are more expensive, correct?). A dedicated post discussing this and related considerations would be even better. Are there cost estimations in the tools like aider (vs just refreshing the LLM platform’s billing dashboard?)
If the AI is really that good, we could use it to develop replacements all the existing commercial software (ie Windows, Oracle, SAP, Adobe etc) to put those companies out of business as payback.
Same for me, I would prefer a one off fee, or a subset of features for free. I like owning my tools though.
Spring by far - Spring is effectively a build tool running at run time (scanning, enhance, code generation, etc.) - most of it is just startup as JVM does a decent job at optimizing the cruft. In most cases the boot times don't matter, though - at least for most people, esp. when it comes to production. (it's mostly developers time wasted)

I have some personal experience optimizing Spring to record previous runs and effectively cache resolution and code generation, etc. for massive boot latency improvements. Never got around contributing it back, though (not a real spring user)
Could be that he did it for fun and not to reach a target audience?
Can confirm, this is an excellent tactic when working with LLMs!
“But Next Level continuously and willfully spreads its false narrative that it created and owns Skibidi Toilet-related copyrights, and is using its knowledge of YouTube’s DMCA Takedown Notice policy, including its ‘multiple strikes’ policy, to hold legitimate Skibidi Toilet content hostage—unless Invisible Narratives pays Next Level a hefty ransom,” lawyers wrote. […]

“We want creators to play with our IP,” Goodman said. “We want to make sure that people are doing things, obviously within reason, so long as it kind of follows a certain guideline for us.” For instance, there’s a bunch of games on Roblox — Skibidi Toilet Tycoon has 84.6 million lifetime visits — that use the Skibidi Toilet IP. Next Level’s approach, clearly, is not within reason, likely due to the domain squatting, the game, and the copyright and trademark threats combined."
Only if they were breaking the law too.
Wish the industry could torrent as well as not everyone has a stable connection....
They have been ignoring almost all bugs in the goldsrc tracker for years.
uv is overposted as hell, but oh my god I love it so much I understand every single one of these posts. Simple things just work so effectively.
Yep.

No one cares about the details. (Heck, I'd be willing to wager good money that the politicians and most of their staffers don't even understand the details). In the end, it's just one more reason that Chinese models will not be legal in the US in the near future.
I still find 3.5 Sonnet the best for my coding tasks (better than o1, o3-mini, and R1). The other models might be trying to game system and fine tune the models for the benchmarks.
quote:

> not claiming that this will necessarily be a good thing
If the AI is really that good, it could also replace the people using all the existing commercial software. And the people managing them.
> It’s worth asking whether that skepticism comes purely from a neutral assessment

My point of view comes from the other side. I am asking how species/societies fail and land on the 3 categories of failure, call it the great filter if you like. I should have pointed them out more clearly, that resources, waste products and selective factors are what we need to solve in the long term. CO2 is just one waste products of the many, that is in public awareness.

I am not downplaying the advances in space flight. I am also not ignoring, that there are limited benefits along the road for the general population. I strongly do object to the hype, framing it as a solution to societal problems though. I hope I made my self clear now.

Calling me shortsighted is the wrong word, I am pessimistic. Shortsightedness would imply that there are actual things to see. I am pessimistic about the competitiveness of orbital solar energy and about the cost-benefit of bulk deorbiting of resources – which still would be unsustainable. I am also pessimistic about upper atmospherical pollution, space debris and even more detached/delusional and politically way overrepresented billionaires on an ideological doomed mission to mars, while earth burns out.

Besides that, there are military, astronomy and telecommunication usecases (intentionally ignoring geoengineering), which I am also not downplaying, they are just irrelevant to our pressing issues. I kind of agree with one label you threw around: “distraction”.

Just pointing at

> progress in ways that aren’t always obvious at first but turn out to be game-changers.

> cost [drops] by another order of magnitude. [...]. That completely changes what’s possible.

> Just like how early computing looked niche and impractical until it took over everything, _space development is on that same trajectory_

> if history has shown us [...] ambitious projects often look like distractions — right up until they change the world.

does not impress me at all. To me, that is just vague gesturing at the sky. Except Computers, which can digitally model anything, which is why they pushed into every aspect of our lifes, space flight has limited use cases and unique constrains. That is the foundation of my pessimism.

To make myself clear: My point of view comes from the other side. I am asking how species/societies fail and from there I focus on sustainability as a key principle for any attempt of solving things. A cloud-castle as a promise of salvation and source of hope for our future does not work for me. On the contrary, space flight delusion _in a thread about the broken promises of carbon capturing_ – the lack of problem awareness generally – angers me every time. We should have sustainability departments with strong regulatory tools by now, but i think elon would disagre with me on that. I am slowly losing my hope living in this idiocracy. Thanks for questioning my objectivity.
I long for a deep article about the same topic. The real, core difference between Java and Go for backend is declarative vs imperative coding styles.

This one, as typical for such articles, repeats typical secondary talking points and even makes similar mistakes. For example it conflates the concept of DI with specifics of implementation in some frameworks.

Yes there are older Java frameworks that do runtime magic. But both new Java apps and well designed Go services use compile time dependency injection as a way of achieving dependency inversion.
>Regardless of how somebody establishes their birth date, that field would still get updated with the data that gets accepted.

Nope. Social security data has a lot of "readers" that need to query the government with a question and get the answer, but do not get the actual data that can give you the answer.

None of those organizations are empowered to write back any confirmation they get. For very good reasons, the government does not let random consumers overwrite social security data. The system is instead designed to be tolerant of bad data and encourage lower level groups to merely check for eligibility.

A concrete example: In our state's insurance marketplace, if your name on the application does not match your name in the Social Security database, it gets flagged. You then provide the state documentation that proves you are the person with the name on the application. That clears the issue and allows you to get your health insurance benefits, but does NOT update the row in the social security database! Doing so would require allowing a downstream, el-cheapo third party contractor application to randomly overwrite whatever it wants in the literally national database. That's a stupid idea. This isn't Google, where randomly shutting off accounts on mistakes is fine. When the government does that, we are supposed to tell them not to do that.
> keeping memory "in the state of the world"

This is what I do as well. If things aren't exactly where I left them, I'll not only never find them, but I'm likely to forget they ever existed.
You can write clean beautiful Java and make it perform beautifully if you're careful with what you pull in for dependencies... but then you're not really using Java to its full potential as an ecosystem for basically building massive line of business apps and services that you can spin up everything from junior to offshore to 30 years of experience developers. The tradeoff for this is performance and it's a thing a lot of companies are willing to trade off on.

Things get messy the moment you involve large frameworks, reflection, ten different approaches to parallelism etc. There's also the problem of code base evolution in Java. Code before JDK-8 feels different than code after it and there's a lot of Pre-JDK 8 code out there in the wild.

And that's just it at the end of the day... it's a cultural difference in the ecosystems.
e-Fuel: Could It Save the Gas Engine? [video]
LOL - they're made out of meat
> I really want someone to solve this problem in a way that makes coding with an LLM a multiplayer game. Not a solo hacker experience. There is so much opportunity to fix this and make it amazing.

This i think is the grand vision -- what could it look like?

in my mind programming should look like a map -- you can go anywhere, and there'll be things happening. and multiple people.

If anyone wants to work on this (or have comments, hit me up!)
My experience with very simple Jersey web apps is ~1.5 seconds to start up. Much less than his reported ~8 seconds with Spring Boot, but still not in the 100 ms range he reports with Go. I assume one second or so is about as low as you can go with a mainstream Java framework without AOT, though I'd be happy to be corrected.
Adding to the article (which I agree with): Lack of `uv pip install --user` has made transitioning our existing python environment a bit more challenging than I'd like, but not a deal breaker.
It looks really great. Is there something similar for Linux?
Models tested: o1, 4o (August 2024 version), 3.5 Sonnet (June 2024 version)

Notably missing: o3

Consult this graph and extrapolate: https://i.imgur.com/EOKhZpL.png
3.5 Sonnet is definitely my goto for straightforward tasks in github copilot. It seems much more effective due to its lack of verbosity and focus on completing the task rather than explaining it. Really helps in the new agent mode too.

Occasionally I switch out to one of the other models, usually GPT 4o, when I can't define the task as well and need to see additional analysis or get ideas.
The landing gear didn't collapse, the wings ripped off from landing too hard.
It would be mice for it to work in concurrent contexts as even using mutexes adds responsibility (for not messing up).
Those subsidies are called The Defense Budget.

There would probably be near zero electronics and machine manufacturing in the US without military spending. I really cannot emphasize enough how many shops out there are kept alive by military contracts stipulating domestic manufacturing.

This is also why the defense budget never gets cut, by dems or repubilicans. It's the backstop for a gazillion jobs and domestic manufacturing capability.
> I like cheap sunglasses and I don't like talking to chatbots. I don't understand why we can't have dumb tools anymore.

It really sucks that dumb, cheap sunglasses no longer are sold. It’s either these meta sunglasses or have your eyes melt
Hi HN: We are Recipe Cup, eager to make connections
Hello HN Community,

I am Rushabh Jhaveri (RJ), founder of Recipe Cup. Recipe Cup is a B2B2C platform based out of India that enables home chefs and small brands to sell home cooked food and home cooked shelf stable ingredients to customers in hyperlocal geography and globally thereby enabling them to become independent brands.

With over 20+ years of work experience in Data and Analytics across US, a die hard shared passion for food, & having lived away from the foods I grew up eating from my favorite street vendors in Mumbai, I always reminisced what it would be like to have those favorite foods one day in New York, miles away from the streets they were available in. With this idea in my head and some conversations with those street vendors, I set out to build Recipe Cup. I launched Recipe Cup about 2 years ago with a focus on everything home cooked but have been working on significant market research for years now.

With offline pilot revenues exceeding a significant threshold of INR 19 Lacs, we got some early stage traction post which we decided to go build an app and take this process digitally in India.

Recipe Cup isn’t just another food delivery platform — it’s a movement designed to empower home chefs, elevate food culture, and give consumers access to real, homemade meals. We’re transforming small kitchens into thriving businesses while delivering authentic, healthy, and personalized meals to customers. We boast 115 authentic and unique home kitchens that today serve in the Indian cities of Bangalore and Delhi. Our goal is to take their foods in various different formats from hyperlocal geographies to global geographies.

Unlike mainstream platforms that take 20-30% of earnings, we let home chefs keep what they earn, ensuring financial independence and for that we pride ourselves to be a zero-commission platform!

Every dish tells a story, and with Recipe Cup, each home chef becomes a brand, their kitchen a business, and their recipes a lasting tradition.

I don't know if this post of mine will get any of those eyeballs but hey I am here! & eager to make connections, solicit inputs, advices to make Recipe Cup successful in the long run. Shout out to this brilliant HN Community to help me with my mission here at RC that has in the past helped many entrepreneurs like me to become successful.

www.recipecup.com

Thanks,

Rushabh
Podman is in an experimental state for FreeBSD 14, and can even run Linux containers using the Linux binary emulation. https://podman.io/docs/installation#installing-on-freebsd-14...

(I'm personally using it now to run the ArchiveTeam Warrior docker container on FreeBSD, albeit with a few hiccups)
The technical term is babbling! It's a step on the road to acquiring language and it occurs in different phases at different ages for different infants.

https://en.m.wikipedia.org/wiki/Babbling
That's why fusion blankets for D-T reactors use lead or beryllium as neutron multipliers. CFS for example uses FLiBe molten salt. Doing it this way a tokamak can not only sustain its own tritium supply, but periodically provide startup fuel for additional reactors.

Initial tritium load for a small, high-field reactor like CFS is much smaller than for ITER. And I'll note that the paper you linked has this conclusion:

> The preliminary results suggest that initial operation in D–D with continual feedback into the plasma of the tritium produced enables a fusion reactor designed solely for D–T operation to start-up in an acceptably short time-scale without the need for any external tritium source.
If the writing is on the wall shouldn't we be seeing a massive boost in open source contributions? Shouldn't we be seeing a spike in new kernels, operating systems, network stacks, database, programming languages, frameworks, libraries...?
> 100 000 miles is like 4 years of driving for anyone who drives a bit more. This is about 70% battery capacity in most cases.

Are you just making stuff up?

https://insideevs.com/news/723734/tesla-model-3y-battery-cap...

> According to Tesla's 2023 Impact Report, the average battery capacity loss of the Model 3 and Model Y Long Range versions after 200,000 miles is 15%.

And this isn’t even LFP, which will get 2-3x the number of cycles.

> Your car is already useless in winter.

Yep, hate my scheduled pre-heated, defrosted car that’s fully charged every morning at 1/5th of the price per mile and does all the journeys I need. Wish I was spending 5x to stand at a pump once a week. Totally useless.

> With reduced capacity the cold hits even harder. And only way to fix it is to buy a new battery for a one-third price of the new car.

Battery prices are falling every year. You will not pay today’s prices when you might need to replace it after 200k miles.
That is a very attractive page.

I know the stuff loading from elsewhere will be slow, but the About page content seems to be pretty lazily lazy-loading.

Is this 100% by design? Pagespeed scores and such?

Thanks for sharing.
Sparse attention essentially combines 3 types of attention optimizations:

1. Compression of the query input vectors to reduce the size of the KV cache

2. Selectively computing uncompressed attention on a subset of tokens based on the compressed blocks with the highest attention scores

3. Using sliding window for local attention at full resolution

> Both Full Attention and sparse attention models are pretrained on 270⁢B tokens of 8⁢k-length texts, followed by continued training and supervised fine-tuning on 32⁢k-length texts with YaRN to achieve long-context adaptation. Both models are trained to full convergence to ensure fair comparison.

> our experiments adopt a backbone combining Grouped-Query Attention (GQA) and Mixture-of-Experts (MoE), featuring 27⁢B total parameters with 3⁢B active parameters

Evaluated on MMLU, MMLU-PRO, CMMLU, BBH, GSM8K, MATH, DROP, MBPP, and HumanEval. NSA outperforms full attention on 7/9.

Beats out H2O, InfLLM, Quest, Exact-Top, and full attention on LongBench

Perfect retrieval on 64k needle-in-a-haystack

The CoT eval is less convincing, but outperforms the FA on AIME24.

Training speed of 2-9x vs. FlashAttention

Decoding speedup of 4-12x vs. full attention ["expected"? Didn't see comparison to other attention mechanisms]
The earliest(? - who knows) release of the port is from 1994, ran on 3.x and used the WinG and Win32s API:

- https://www.doomworld.com/idgames/historic/wdoom

- https://www.doomworld.com/idgames/historic/wdoom2

- https://virtuallyfun.com/2011/03/29/windoom-wing-win32s-on-w...
I'll give it a try. Thank you!
> most of it is just startup

Yep, I have some Spring code in AWS ECS and it hits 100% CPU usage on start-up before dropping back to 1.5% when idling (this is with 1 vCPU I think).

But yeah I remember reading one of the Spring devs say that some (a lot?) of the runtime reflection could be done at compile time but isn't.
I worked on an app in kotlin a while back, and am currently working in a dotnet app. We can run our entire unit test suite faster than the JVM started up on that project.

Also, 8 seconds is quick in my experience for Java - I’ve seen more like 15-30
They should be able to boot into CP/M. Even MP/M should be possible.
I think at this point, the only question it remains is how Astral will make money. But if they can package some sort enterprise package index with some security bells and whistles it seems an easy sell into a ton of orgs.
Biggest features of these is the speakers. I use mine to listen to podcasts all the time when I’m out and about. Or even just scrolling TikTok when I’m not alone. The camera has allowed me to get some great photos of my pets. The fpv video is delightful. I wish I could change the ai. I look forward to competition in this space. I think it will end up being the next smart watchesque market segment.
1. We don't have a perfect understanding of plasma dynamics and how they'll react to different conditions. Predicting plasma instabilities before they mess with your reactor remains a big challenge for our computation capabilities.

2. Yeah, material science is also a big one. When you are working with the magnetic forces typical in a modern fusion reactor, your materials undergo a lot of mechanical stress. The "first wall" that has to bear the brunt of the nuclear reactions becomes radioactive. Some plasma ions invariably go off trajectory and we have a "diverter" to prevent them from hurting the reactor but that reduces the temperature.

3. Our reactors aren't efficient enough. Everyone taking about "q" value means the energy they put into creating the reaction to get the plasma to fuse. It's called q-plasma which is a misleading metric. The true breakthrough will be sustained q-total, which will be the ratio of the total energy you get out over the total energy you put in. Nobody in the industry likes to talk about it, because we are decades away from reaching this.

4. Modern designs are becoming extremely expensive. The most serious design right now is being funded not by a state of a country but by the biggest countries in the planet.

5. Someone help me here I've ran out of points