minraws

Not if we control the prices, the idea of UBI isn't to give money but to give resources, if everyone gets a house, clothes, food and education for free that's UBI as well. Even if it didn't involve a direct benefit transfer.

And that's the only solution to UBI, when resources are abundant enough that UBI isn't needed or with UBI we increase resource enough that there isn't inflation risks.

All UBI experiments till now have proven it's not bad for the people, if we just manage the economy part it will all work out somehow.

As much as I would like to say I agree, I don't really like the LLM ui replacements. I absolutely hate them, they are just horrible, claude code itself is a horrible way of producing code/output you aren't seeing the logical pieces of your project you are largely stuck in a text box with a diff viewer and unable to parse what's happening.

Something like codex desktop is slightly better but still a horrible interface for developing software in any form of serious capacity.

Sure it works because the friction of manually working is just so damn high. And there aren't good alternatives, the jump from pi to claude to codex being almost negligible for most folks is a very high signal this entire pattern just doesn't really work.

I don't yet know where we will land or will we suffer with the current bad type text in a box ux for the next few years but I am certain this is not it.

I am still trying to work out what is it though, so well we will see when we get there.

Not using tools is a good example of the issue, you give up a lot of control to do that, sometimes it's good enough often it's not, and often it's worse because you don't even realize how much control you have given up.

I don't think we will do natural language interactions with our computers, I honestly feel like we will do something more intent based. If LLMs can know from our words what we want to do, then they can certain infer from what we are doing stuff we are about to do.

Think auto complete but for user actions, without taking away user control and understanding intent almost perfectly. Maybe it would require neuralink or something to get good enough, but until that happens I don't think we are moving away entirely from our UIs/UXs entirely.

Some people will, the low skill, low requirements, but no-code has existed for a very long time for the same reason, visual scripting is a similar example.

A video made by LLMs by using Premiere Pro is always going to be worse than what a professional makes entirely on their own in Premiere Pro not in terms of quality but in terms of control hence intent.

Similar issues with software, you can not perfectly describe what you want to another person perfectly that just doesn't happen, otherwise we wouldn't have had companies with more managers than engineers it seems like.

There is a lot of loss of intent, imagine if every action was something where you lost some of your intent, then after 100 requests does any of your intent even remains in it.?

This might be too hypothetical but I don't see LLMs replacing UI in the short term, but I don't know what happens in longer term.

But I do think LLMs will change how the software the interfaces and tooling works almost entirely.

Today it's much easier to llm rather than sql. It's not even a question of whether it's 10% better or something the cognitive load of writing SQL is high enough in data analysis that LLMs are the only solution.

LLMs enable some pretty interesting ways to query data itself, you can ask the data to query itself, imagine being able to prompt inject the data.

But on a more useful case imagine being able to let data build itself, when ever an incident happens, LLMs can enable flags to collect more data automatically based on incidents add reporting apis and telemetry and so much more.

Incident analysis should have changed but it hasn't yet, a human for some random reason still needs to ask an LLM to do the work, then understand it somewhat and then reply to others.

> This is just nonsense. What set the US apart is its mass and ecosystem.

That's only in post 2010s period, aka post apps and social media.

The boom in 80s/90s/2000s all of it kicked off from the deep technical know-how that rest of the planet just didn't have.

People can feel free to disagree, but they are really lying to themselves if they think anywhere else on the planet there was the sheer amount of tech talent as US until even 2010s.

Things have changed since and US is now largely valued because of it's large market and stuff, hence the off-shoring of so much of the technical and even advanced work.

But this was not the case before. With AI pushing the cost of building stuff to near 0 I don't see why you even need the US market to scale up an idea enough to prove viability. Sure the company might have to move to US, but there is no reason for it to be built in US anymore.

I don't think we've seen the last of anything in 2026/27. Lots of interesting projects are yet to start. I'd bet a good amount of money that some of the next Google/Microsoft-sized businesses will come from ideas in the AI harness/tooling space that no one has even noticed yet. No one is building them today, well, not exactly anyways.

And no one will see it coming except that one person in some remote part of the world (I don't say the US because, post-LLMs, I hardly think there's anything unique to US tech anymore. The best part was the sheer technical talent in the US, but that's worth a lot less with modern models and systems).

So no, I don't think we're anywhere near the end of innovation just yet. These will be some fun times, and I don't think the current way of building stuff will last too long. We'll definitely have better tools and ways of doing stuff, or so I hope. Keyboards have honestly lasted a lot longer than I would've expected, even though we've had STT tech for decades now.

Even today, office memes aside, it's just easier to type things out instead of speaking. For most people, typing is faster or fast enough anyway. Except when I'm on my phone.

Honestly if you are putting models behind your own terms of use it's only fair use if I get to do the same for my content, but it's too late for me I folks in US sue them for every dollar or force them to make their models "fair-use".

I don't think scooping all of the internet and saying rules for thee but not for me is the way to go.

Not if you are using enterprise ssds... but this is some insane profit seeking. I think they should just ask for service providers to pay a share of the local revenues that would be easier to digest than this insanity.

I feel like torrenting is tax evasion now as well in France.

> but many of said startups will fail due to said choices. So by the time you have a viable company making good money, the really badly aligned companies are gone.

I wish that was the case, but that isn't how startups fail generally, sure very bad user facing breaches could cause something like that, but lots of platforms with too much jank have somehow survived all of these cyber vulnerabilities before, and will probably keep at it.

For a majority startups it's about connections and relationships rather than competence. Very few even consider building actually useful products to be a priority after the initial work of building it.

That's a problem across all of tech, I know a startup that recently had a security incident, lost over 40K USD and none of the heads have rolled they haven't completely revamped their security posture or anything like that.

I have a bridge to sell you if you think everyone on the Azure team is sub-moron. Infra security is a hard problem to solve, GCP and AWS don't quite have a perfect track record either, perhaps AWS stands out as a better option but it's hard to argue about it.

Can't their millions of agent swarms detect a malicious supply chain vector, sure it can happen to any company but not the one people are literally handing over their entire companies too.

Anthropic holds the SLA/MSA agreements not this bad actors what happens to your data is unknown if these become frequent and accepted. Given how much data is piped to Claude code via these services/extensions.

sigh.. damn I just started star trek.

Personally a doordash and instacart are like utility platforms if we are planning to use them to replace conventional means of delivery and discovery.

So I honestly think they should be under heavy govt regulations or be co-owned by everyone in the supply chain. Or firm regulated to avoid overcharging for useless stuff, everyone loses out including these companies as in needing to compete with eachother they have to offer dozens of benefits offers etc to customers, and customers get shafted when they are the most desperate because making money from the desperate is the best money making formula in the valley atm.

I have managed to find zero-days in my Canon with some effort over the last few weeks, me and a cheap model, well it was never really that hard, but I feel like it has given me more time.

I am considering reverse engineering the entire thing, I honestly don't know if that's worth it given I can connect an rpi to the system and get everything done via my own app now.

And keeping printer off of wifi networks was the best decision I ever made imho. Either way printers suck, but I like them so much as a technology, converting digital to physical is such a great thing.

I mean all big businesses (150+ peep) have to pay that much, it's the reality of the times. Getting some AI imho essential/good, one 200$ plan or spending 5000-7000$ per engineering team sure, 100$ plans or 3000$ for most semi technical staff definitely.

But if you are telling me I am wasting like a good 10-20% of my tokens on summaries I might as well stop using your service, worst part is claude doesn't let you use something else.

Using Argon? Are you certain you aren't using the Flash models?

Their Argon limits are the real issue, Flash is ok, but honestly compared to Clause's limits they are all horrid, OpenAI is the next best option if you want Astra, otherwise suck it up and send money to DeepSeek or find a provider for it for cheap.

It's 0.1 I think brain fart I typed the rest correctly though after 10 summaries you still burn the same amount of tokens

I don't want to sound rude but even at cache hit you are burning almost input * 0.10 * context amount of tokens multiple times.

If it happens 10 times you have already accepted the same cost as the entire session fresh prefill.

People on HN are either too rich or wayyy too rich

Also limits are horrendous on all plans I might as well instead use Fable that would cost me less

Nothing is an easy to use intuitive api with all the features and all the performance, it's (Dx11) the sweet spot of where I felt like it was easy to learn and easy to use without worrying about performance too much.

Sure if you are building the newer rendering pipelines DirectX 11 leaves a lot on the table but it brought a lot of nice things with it, Debug Runtime alone was worth moving to it, 99/100 times your app written in DirectX 11 even if not optimised properly will perform better than DirectX 9 in my experience.

This holds with OpenGL though the modern OpenGL 4.6 and stuff wasn't bad, but it's a lot of cruft still.

Either way there are no perfect APIs, a truly general purpose API that just gives you basics like Texture handling and io and data mapping would be enough today imho. Fully general purpose compute APIs are the solution with some additional tweaks to make graphics stuff convenient. IMHO

Though it's definitely much harder than plain and simple paint colors and textures on vertices & geometry uv approach of old.

That middle ground is often called DirectX 11 but sadly it's stuck to a specific platform.

I don't think people realize that there was no option of do we not log the forest, but imho the issue is any forest being cut down for data centers is a waste of sand and effort, make them in deserts or dry land. In the middle of oceans works as well, we are getting data centers in all sorts of weird and imho wrong places.

I find this issue small but the choice of these companies to pick the convenient location for them to build a data center concerning, and govts shouldn't be bending over. If these things can be built in space we can build them in places where no one lives and no living being is harmed or logged.. cough.

This does feel like the fix took so long to bake and was so obvious way too many people who are into PHP knew about it, I knew about eMudra's cert issue as soon as Chrome and Firefox pushed updates to disallow them for instance because of reasons, and it wasn't even fixed after it was all made public on several platforms, I think Apple still hasn't fixed it properly, the trust Store is still fucked not sure if Safari was separately patched, maybe there is an os update in the last few hours I missed.

This entire RCE race is always annoying.

how are the secrets decrypted, I would like some explanation so that I can have some understanding here, I am starting to feel like all these companies are just meme-ing with their security posture.

Like did someone vibe code too hard, how do env secrets leak for everyone...

they now do something called, Meta Family daily active people, similar thing but aggregate of all Meta stuff. very sus imho.

They beat revenue expectations, and earnings per share was ok, and they guided for even higher revenue next quarter above estimates ofc.

Somehow Meta is making money despite starting to loose DAUs now. So honestly I don't quite understand what's what, also most of the big income is from Ads and biggest Ads spenders are startups and companies heavily dependent on VCs and AI... So it's definitely somewhat circular, and Ads is the most recession affected business so a down turn in markets will cycle through it.

But ngl if all the earnings are this ok then hyperscalers stock might not crash this quarter, well then again I didn't think they would but a person could dream.

I am quite bullish on AI, but would prefer the fluff to get out of the way asap, otherwise don't want it to happen at a bad time, and too many people get caught pants down.

I am concerned for my self hosted servers, well only hope is tailscale should be entirely secure, and egress is filtered heavily... If that doesn't work my home lab is fucked.

Any suggestions folks, not even my terminally online self can handle all of these.

Well we all got fucked by this cert issue.

If US govt bans it, I will move my business out of US lmao. I say that as non us resident who has business there for ease of doing business...

This isn't true, especially not with the inference engine becoming public, now you can build your on models on the same or similar architecture and ship massive gains on top of these stacks.

I think people don't realize the Salesforce SAP Palantir would love to ship these models, and they have/are shipping them.

The threat of exfilteration of data via these models is high but it's nowhere near as high as the margins.

For instance if you could cut your ai input bill by over 90% would you do it? Can you put some of that extra margin say 10-20% to make it more secure.

I know of atleast 10 fortune 500 companies that are entirely planning to or have moved to Chinese models for a large portion of their work.

It's insane people in finance are delusional enough to think that won't happen.

Maybe Govt will try to de-risk with bans on using open models but I don't think that's going to work at scale, people will literally spawn labs to launder DeepSeek/GLM models into a US model by some novel training etc approach or something.

I still don't think that it's as much a kami-kaze rather it's an attempt to normalize the world around the Chinese stack.

If DeepInfer is supported by everyone, it will be much easier to export stuff aka hardware that only supports it for now or is optimized for it.

Assume china starts selling hyper optimized Asics for inference at some point.

This feels like a race to the bottom as soon as possible because they have much lower costs, if there is a Wipeout in AI Labs in US chinese labs are largely insulated, and they can hopefully buy Nvidia chips for cheap if that does happen.

It's not really if you mean to point to the bitter lesson, it was models/intelligence scales better with general/simple methods with more compute better than it scales with any hand-crafted human program/method.

Ala intelligence is a function of compute, there was no guarantee that you need to 10x compute for 10% better performance or something like that.

If you ask the labs they will say the scaling is fairly linear or atleast sub-quadratic, they definitely won't say it's exponential.

No one was thinking we need to 10x compute from here again for another 10-20% increase in performance.

It's only been since Opus 4.6 that the compute growth vs improvements are starting to feel this way.

For instance GPT-3 vs GPT-4 was practically a 10-100x jump for a 10-100x increase in compute, we went from broken sentences to fully formed essays writing, speech and so on.

GPT-4 vs GPT-5 was just as massive we went from no agentic capabilities to fully agentic, 10-100x for a 10-100x increase in compute usage.

GPT-5 vs GPT-6 was atleast a 10x (upto 100x) increase in compute, but the difference is not that clear sure people say that one is significantly better than the other, but GPT-5.5 was good enough compared to where we are today.

Even on benchmarks compared to GPT-5.2 Codex we have almost 2x'ed the performance on say artificial analysis (53 vs 29). This is absurd. 10-100x increase in compute for 2-5x performance improvement is a massive gap.

[1]: https://bitterlesson.ai/ [2]: https://artificialanalysis.ai/?models=gpt-6-astra%2Cgpt-6-lu...