skysight-inc/HackerNews huggingface dataset:
An LLM is one very big nonlinear regression used to pick a token with a clearly defined input, output, and the corresponding weights. It's still far too straight-forward and non-dynamic (the weights aren't constantly changing even during a single inference) compared to the human brain.

As far as the latest "thinking" techniques, it's all about providing the correct input to get the desired output. If you look at the training data (the internet), the hardest and most ambiguous problems don't have a simple question input and answer response, they instead have a lot of back-and-forth before arriving at the answer, so you need to simulate that same back-and-forth to arrive at the desired answer. Unfortunately model architecture is still too simple to implicitly do this within the model itself, at least reliably.
Training a language model on non-verified publications seems… unproductive.
Be warned, I found it a bit depressing though. Never meet your heroes they say...
Because some of us live in a climate where we have 0 Celsius in the morning and 20 Celsius at 2pm.
Calgary. I remember it being asymmetric, probably 256 or 512 up.
I'm a fan of memcache specifically because ALL it can do is be a cache. No one can come in later and add a distributed queue to it. In-memory caching is also underrated, I agree. Using a hashmap and a minuscule TTL (like 5 seconds) can have huge performance benefits depending on your traffic, and it takes like 5 minutes to code up.
Ah ok gotcha. Your issue is with the ‘family’ nomenclature not the functionality, and I fully agree with you.

For what it’s worth Bitwarden doesn’t use that term, they call it Organisation. Personally I feel like ‘Group’ is actually the better term.
Oh same deal. We've been yapping about it for years. Probably reached our limits in terms of technology to deal with these things.

Another thing with AI is the insane progress and clear knowledge of the fact we are well below the limit.
Also doing crypto properly is complicated and risky.

If I give wrong IBAN to someone good likelihood is that transactions fails and I keep money. Or I have at least some legal chance to claim it back.
The technology is not. How people have chosen to use it is by and large pretty scammy or at least purely opportunistic.

Most consumers holding crypto are doing so in the hopes of cashing out later, most (virtually all) retail investors barely understand what a blockchain even is, they're just random people who downloaded coinbase.

At the same time rug pulls and blatant fraud / money laundering / corruption has been enabled with this tech.

Memecoins etc. are frankly the financial wild west and with institutions like the SEC in the bin completely right now the average consumer has no business investing in crypto other than speculatively and, depending on the coin, with a pretty high risk of losing their investment.
It preserves a left to right reading of the code. You don't have to jump visually elsewhere.
Thinking about what companies have the adtech infrastructure to buy Chrome and make enough money the justify a bid high enough than Google just shutting it down: Microsoft, Meta/Facebook, Bytedance?

I don't see a real need for Chrome. The stuff they've done to break Adblocking makes it pretty much a dead project today. Web browser development should be open source and not for profit. There is a fair argument that it has been because of Google's funding. There's a strong argument that Chrome has existed to further Google's business and at a minimum protect it's business and ensure third parties didn't hijack all of their PPC revenue in the early days.

It is easy to foresee an outcome here where someone politically connected gets a hold of Chrome and does a lot of crap they shouldn't. The worst case outcome is unrelated to any of this, and something where we end up with government mandated garbage in a web browser. It is very possible that DRM and biometric age verification, and who the fuck knows what else thanks to AI, could be required either by the US or EU, and kill the open source web browser. That's worse than anything Google did.
You're describing the fallacy fallacy, the fallacy that just because an argument might be an example of a logical fallacy, doesn't mean the claim is incorrect.
Postgres has Bloom filters: https://www.postgresql.org/docs/current/bloom.html

It also has arrays, sets, and bitstrings, though for the latter you can just as easily (and with less space consumed) map it in your app, and store an integer.
And herein lies the problem with vibe coding - accuracy is wanting.

I can absolutely run models that this site says cannot be run. Shared RAM is a thing - even with limited VRAM, shared RAM can compensate to run larger models. (Slowly, admittedly, but they work.)
> All forks are free to keep manifest v2.

In theory, yes. In reality, the more diverged forks become from mainstream the more expensive they become to maintain, until eventually it becomes entirely unsustainable. With the sheer number of Chrome patches Google churns out, the level of divergence where maintainence becomes overwhelming is actually pretty low. It’s like trying to handle Niagara Falls with a Solo cup.

So in effect, what Google says goes.
FreeBSD 13.5-Release ISO Images Available
Fair, and sorry about that. The point stands, though.
It is the Putinization of America: https://www.theatlantic.com/international/archive/2025/02/pu...

And that's sure working for Putin: https://www.theatlantic.com/ideas/archive/2025/03/putin-russ...
When a toddler can pull the trigger and kill someone, you may argue guns are pretty good at killing. Key point being, people don't have to be good at guns to be good at killing with guns. Pulling the trigger is accessible to anyone.
This was posted on scattered-thoughts.net ;-)

If this was a joke, I'm sorry for explaining it.

If this was not a joke, I point you to the giant

<h1>!!! DRAFT !!!</h1>

as the first element of the <article>
Because the legislation doesn’t require that. And they want even less legislation. I mean, how does one even come up with a car made out of stainless steel with edges sharp like knives.
I mean we need to speak plainly: Ukraine certainly didn’t provoke Russia, but the U.S. did, using Ukraine as a pawn. Thats what makes Trump and Vance’s actions so terrible: Ukraine would be a lot better off if the U.S. (and Europe to a lesser extent) had never interfered with its affairs.
By that logic google can not make any changes to their browser unless all forks agree to it, as the forks will definitely not be able to continue maintenance for long. By this logic it makes more and more sense to not open source anything and keep your product as tightly closed as possible (what Apple/MSFT have been doing).
> CarPlay maps are garbage.

What? The benefit of CarPlay is that I can use my map app of choice. Apple Maps, Google Maps, Waze, whatever. In 5 years of daily driving I rarely used Tesla’s maps and opted for my phone connected via Bluetooth.
Who do you think benefits from each transaction having a unique ID? Most cryptos are so brazen they even make traceability of funds unavoidable.

Crypto solves lots of agency problems and makes those that promote it rich.
This was the only way I could study in college. I had “study groups” but in reality all we did was sit quietly next to each other working through our own material. Worked amazingly.

I’m not ADHD, but that’s probably a bigger discussion
The Stoicism of the Caregiver
What is analog? Voltages and circuits and currents, but not digital tubes and transistors?

Most coders in my vicinity are interested in woodworking, is that analog? I think not.
They kept it for a long time, I had an '87 900 and a '04 9-3 which had a fob but still plugged in and turned in the center like the old ones. I liked the position; I heard it used to foil car thiefs who couldn't figure out where the ignition was
That was definitely me, but I don't know where that quote is from.
the people complaining about firefox are not switching to chrome! they just keep complaining. don't know where you took that wildly inaccurate idea from.

people who don't complain about mozilla sorry state do move to chrome tho.
Well, the most concrete example of this is Pieter Levels and his new flying around in cyberspace video game where he's making $60k MRR on. It's a concrete thing that he wouldn't have been able to build otherwise on that cadence.
Alternative https://maaslalani.com/slides/
no, decades is plenty long enough to destroy modern civilisation, lots of wifi, but no food
Ask HN: Old Unix technologies like cron and SSE in modern workflows?
I've been in the industry for over a decade and find myself repeatedly returning to battle-tested UNIX technologies despite the constant stream of new frameworks and tools.

Cron jobs still power critical scheduled tasks across our infrastructure. Server Sent Events handle real-time updates more efficiently than many WebSocket implementations I've tried. Shell scripts glue together components that modern architectures claim to integrate seamlessly.

I'm curious how others are leveraging these older technologies in modern stacks. Have you found creative uses for old UNIX tools that outperform newer alternatives? Are there specific combinations of old + new that work particularly well? Any war stories where a simple UNIX solution saved the day when modern tools failed?
- Google pays Firefox ~$500M/year for 2.5% market share, 65% market share should get a healthy annual payout for default search status.

- A pure focus on web browser monetization could lead to some interesting enterprise options. Presumably there'll be a lot of attempts to leverage Chromium, and an aggressive fork at some point.

- As AI proliferates, can they pull additional revenue by getting revshare from subscription AI products, alongside SEM? Or even revshare?

This could also change the calculus for Apple building a search engine. If they could get an independent Chrome to sign on, with some data sharing provisions to help with development, they'd have a huge leg-up.

Alternatively, maybe they try to create a fusion of search results and AI from a variety of providers, so they can monetize SERPs themselves.

Revenue seems incredibly strong. My question would be whether they could get back to aggressive product execution, given the size of the codebase.
Huh because I thought it was nuts I could block youtube ads. I thought it was ublock.
At my workplace, Block, people are sinking a lot of effort into Goose: https://block.github.io/goose/

Most of the folks I've talked to about it have been trying it, but the majority of the stories are still ultimately failures.

There are exceptions though: there's been some success for porting things between say JUnit4 and JUnit5.

The successes do seem to be coming more frequently, as the models improve, as the tools improve, as people develop the intuition, and as we invest time and attention to building out LLM-tailored documentation (my prediction here is that the task-focused, bite-sized documentation style that seems like a fit for LLMs will ultimately prove to be more useful to developers than a lot of the existing docs!)

On the part of the models improving, I expect it's going to be a bit like the ChatGPT 3.5 to 4 transition: there are certain almost intangible thresholds that when crossed can suddenly make a qualitative difference in usability and success.

I definitely feel like my emotions regarding LLMs are a bit of a roller coaster. I'm turning 50 these days, and some days feel like I would rather not completely upend my development practices! And the hype -- oh god, the hype -- is absolutely nauseating. Every CTO in existence told their teams to go rub some AI on everything. Every ad is telling you their AI is already working perfectly (it isn't).

But then I compete in our internal CTF and come in third even though the rest of my team bailed, because ChatGPT can write RISCV assembly payloads, and I don't have to learn or re-learns it for half an hour. Or I get Claude to write a Javascript/SVG spline editor matching the diagramming-as-code system I'm using, in like 30 or 45 minutes. And it's miraculous. And things like Cursor for just writing your code when you already know what you want… magical.

Here's the thing though. Despite the nauseating hype, we have to keep trying and trying to use AI well. There's a there there. The things are obviously unbelievably powerful. At some point, we're going to figure out how to use them effectively, and they're going to get good enough to do most of our low- to medium-complexity coding (at the very least). We're going to have to re-architect our software around AI. (As an example, instead of kludgy multi-platform solutions like React Native or Kotlin Multiplatform or J2ObjC, etc., why not make all the tests textual, and have an LLM translate changes in your Kotlin Android codebase into Swift automatically?)

We do still need sanity. I'm sort of half tongue-in-cheek trying to promulgate a rule that nobody can invoke AI to discount costs of expensive migrations until they've demonstrated an automated migration of the type in question with a medium-complexity codebase. We have to avoid waving our hands and saying, "Don't worry about that; AI will handle it," when it can't actually handle it yet.

But keep trying!
GOOD search might be worth a try: https://european-alternatives.eu/product/good-search

It’s hosted in Germany and uses the independent Brave search index.
this will reduce demand for artworks containing bananas and packing tape
Well I have also worked on systems of multiple millions of lines, well pre-llm, and I sure as he'll didn't actively understand every aspect of it. I understood deeply the area I work on and the contracts with my dependencies as well the contracts I provide. I also understand the overall architecture. We'll see how it goes if my project grows to that point, but I believe by clearing documenting those things, and overall focusing on low coupling, I can keep the workflow I have now, but with context loading for every session. Time will tell.

In general though, its been a lot of learning on how to make llms work for me, and I do wonder if people simply dismiss too quickly because they subconsciously don't want them to work. Also "llm" is too generic. Copilot with 4o sucks but claude in cursor and windsurf does not suck.
- Google pays Firefox ~$500M/year for 2.5% market share, 65% market share should get a healthy annual payout for default search status.

- A pure focus on web browser monetization could lead to some interesting enterprise options. Presumably there'll be a lot of attempts to leverage Chromium, and an aggressive fork at some point.

- As AI proliferates, can they pull additional revenue by getting revshare from subscription AI products, alongside SEM? Or even revshare?

This could also change the calculus for Apple building a search engine. If they could get an independent Chrome to sign on, with some data sharing provisions to help with development, they'd have a huge leg-up.

Alternatively, maybe they try to create a fusion of search results and AI from a variety of providers, so they can monetize SERPs themselves.

My question would be whether they could get back to aggressive product execution, given the size of the codebase. Acq
- Google pays Firefox ~$500M/year for 2.5% market share, 65% market share should get a healthy annual payout for default search status.

- A pure focus on web browser monetization could lead to some interesting enterprise options. Presumably there'll be a lot of attempts to leverage Chromium, and an aggressive fork at some point.

- As AI proliferates, can they pull additional revenue by getting revshare from subscription AI products, alongside SEM? Or even revshare on the SEM clicks themselves?

This could also change the calculus for Apple building a search engine. If they could get an independent Chrome to sign on, with some data sharing provisions to help with development, they'd have a huge leg-up.

Alternatively, maybe they try to create a fusion of search results and AI from a variety of providers, so they can monetize SERPs themselves.

My question would be whether they could get back to aggressive product execution, given the size of the codebase. Acquiring the Browser Company would make a lot of sense.
to be fair, gnome3 unwritten moto was "we macos now", so, mission accomplished?
Anything not digital.

Coders already do love it. Terrible premise.
>Humans don't need to learn from 1 trillion words to reach human intelligence.
What are LLMs missing?

A Yann Lecuun quote from the page.

LLMs are blank slates. Humans have millions of years of pretraining recorded in the neural network not as weights but as the structure of the neural network itself. Our physical bodies are biased towards living in an oxygen environment with light and ground and our brains are biased in that same direction.

If you put humans in a completely different context. Like utterly completely brand new context say like 50 dimensional space where all our sense become useless and logic and common sense is completely overridden with new rules...

the Human will perform WORSE then the LLM when trained on the same text.
This is not about "spicy" typography but Unicode abuse...
The difference between Tolkien and this article is that this author uses extra words while Tolkien introduces extra ideas. Such ideas are for enjoyment like you said. On the other hand, extra words just makes it hard to understand the author's intention. Tolkien presents his ideas so clearly that you almost never have to reread a sentence because of lack of comprehension.
It’s explicitly changes that are a net negative for users and privacy (e.g. manifest v3) or try to circumvent the web standards process (e.g. WebUSB) that are problematic and would be of interest to forks. Most changes are fine.
Same, and they all had great sightlines. When I bought my 9-3 as the dealer was going out of business, he told me what a huge deal it was internally that they didn't offer cupholders in the US, the idea being that you should be focused on driving not drinking. US dealers pressured them into finally adding that ninja popup before they went out of business
Toward a Passwordless Future
I respect those that have come before and I know there still exists some places where analog is not only the superior option but the only option however almost everything you want to do is ADC then back DAC.
That is my understanding, they can’t fully implement some of the lower level functions on iOS. The APIs seem to fail but fail silently so you can install the extension, it appears to be working but it does not.

I think failing loudly would be better for users.
I'm not entirely sure what you're getting at re: hype.

While there is undoubtedly a lot of hype around these tools right now, that hype is based on a pretty major leap in technology that has fundamentally altered the landscape going forward. There are some great use cases that legitimize some of the hype.

As far as concrete examples, see the sibling comment with the anecdote regarding health insurance denial. There are also portions of the tech industry focused on rolling these tools out in business environments. They're publicly reporting their earnings, and discussing the role AI is playing in major business deals.

Look at players like Salesforce, ServiceNow, Atlassian, etc. They're all rapidly rolling out various AI capabilities into their existing customer bases. They have giant sales forces all actively pushing these capabilities. They also sell to governments. Hype or not, it adds up to real world outcomes.

Public statements by Musk about his intention to use AI also come to mind, and he's repeatedly shown a willingness to break things in the pursuit of his goals.
This is funny, I've been running remote companies for mostly the last 20 years (with physical offices during some of the time.) When I first saw the coworking concept and the inside of a WeWork I thought none of these people are working, they are just screwing around.
If prefix * bugs you, C has a suffix deference operator as well, `[0]`.

(Yes, C programmers will probably hunt you down if you do this, but it does work.)
because gramps had to suffer gnome or the tiling wm du jour while kde was fixing itself.

and if you think we were exaggerating in how bad our school route was, get ready for this one...
The VisiCalc/Lotus erasure is very strong in this comment.
You're right! It looks like I misunderstood the report and the "hidden opcodes" are only accessible to the ESP32 itself, not to connected devices? The article is somewhat confusingly worded.
yes I agree that you can run. I have personally run Ollama on a 2020 intel macbook pro.
Its not a problem of vibe coding, but of the choice of logic i went with.
To set it as your default search engine on iOS, you need to first install a separate Kagi Search app from the App Store, enable the extension, and then dig through some fairly obscure Safari settings so that the Kagi app can run with enough permissions to intercept/redirect search URLs for other search engines.

So now when I search in Safari, the browser says “DuckDuckGo Search” but when I hit return Kagi jumps in. I also had to turn off search suggestions because those (as far as I know) would still come from DDG.
We don’t know what proposals the court will accept.
Software architecture is dominated by a few inequalities that tend to remain in the same order most of the time, get closer or farther away from each other, and only occasionally reorder themselves because some big breakthrough in one kind of hardware has no equivalence in another and things get out of whack.

When they get out of whack we try some really crazy algorithms that make sense when the inequalities invert, and then disappear when order is restored.

One of the first times networking got faster than local storage, John Ousterhout (of Raft fame) and his group at Berkeley introduced a distributed operating system called Sprite (which featured heavily in the Distributed Computing class I took) that could not only run processes on different machines but could also do live process migration - in the 1980's. NICs getting faster than disk also brought us in-memory and disk-backed, in-memory KV stores, which haven't really gone away even with the introduction of NVMe storage.

B-trees fit well with the dominant equation, so they never really go away.
So how does MCP differ from a regular library like aisuite or vercel ai sdk?

Regular SDK lib:
- Integration Effort: just like MCP
- Real-Time Communication - Sure
- Dynamic Discovery - obviously. just call refresh or whatever
- Scalability - infinite, it is a library
- Security & Control - just like mcp

i trully don't get it
People keep offering this hypothetical 10% acceptable false positive rate, but the article says it’s more like 35%. Imagine if your workplace implemented AI and it created 35% more unfruitful work for you. It might not seem like an “unqualified good” as it’s been referred to elsewhere.
Yes. I see it all the time on YouTube in video titles for example. Common with specific genres of music videos.
> Can you explain why? From privacy and free speech perspectives aren’t US services now better?

In regards to privacy, the country is increasingly trying to pass age verification bills as a way to backdoor more surveillance into law while a billionaire is running around slurping up everyone's private data.

In regards to free speech, the President sues journalist he doesn't agree with, passed an executive order to target lawyers he doesn't like, and is trying to get a law passed that will allow him to further target people who try to hold him accountable.

To say the US is better on both privacy and free speech is either uninformed or delusional.
Hyundai and Kias have good ADAS, and can be had for less then a Tesla.
In Japan I've only seen them at cheap family restaurants and all-you-can-eat yakiniku (korean bbq) places where they want to save on labor.
thanks for your feedback, there is room to show how fast or slow the model will run. I will try to update the app