MurphyA/hacker-news huggingface dataset:
by Sai-HN | 2025-12-03 02:44:47+00:00
I had the chance to review the technical design, and it’s clear this project takes a thoughtful and well-directed approach.

Rather than relying on the usual trade-off between Firecracker-style microVMs and syscall-level sandboxing like gVisor, ERA takes a different path—leveraging libkrun to deliver “lightweight yet VM-like” isolation without compromising the developer experience. That balance is genuinely impressive.

What stood out to me while exploring the repository:

・Deeper isolation than gVisor—no direct access to the kernel surface

・A clearly safer boundary than containers, without the overhead of Firecracker

・Practical issues with libkrun (buildah, krunvm, case-sensitive volumes) are addressed with care in the README and setup scripts

・Maintains ~200ms microVM startup, making it fast enough to integrate naturally into agent execution loops

・Local-first by design, yet flexible enough to support Cloudflare Workers for orchestration when needed

・Well-crafted recipes and examples that go beyond the basics and support real-world usage

This isn’t just about “running microVMs”—it’s about delivering a tool that developers can actually rely on. It feels far from a proof of concept; it’s something you’d want to keep in your toolbox.

Running AI agents safely on local machines is still an open challenge with no clear standard. In that context, ERA’s approach—seamlessly integrating microVMs into everyday development workflows—is both timely and valuable. I have deep respect for the thoughtful implementation and design philosophy behind it.
by tooltalk | 2025-12-03 02:46:08+00:00
Sure, I'm actually old enough to remember Huawei's Ascend sold under MetroPCS in the US back in the early 2010's. Leica collaboration with Huawei in 2016 worked wonders and other Chinese smartphone makers definitely stepped up, but, by this time, Samsung's China sales fell off the cliff by ~70+% to a low single-digit market share from its 20% peak in 2013 under Xi's "In China, For China" campaign.

Not sure if Huawei was ever a threat to Samsung or Apple outside China as most of Huawei's growth was in China only and there was no other single major market in which Huawei came close to Apple's or Samsung's. China is also the only major market where Samsung's market share is less than 1% and I'm very disinclined to believe this is coincidence. I think the common misconception is that Samsung was "outcompeted" by Huawei when it was in fact forced out of China. This practice became quite common in other industries too after Xi -- eg, all foreign competitors in EV batteries business such as LG, Panasonic, Samsung, etc were also effectively banned in China under Xi's Made-In-China 2025, launched in 2015 to protect local "champions," such as CATL/BYD.
by captainkrtek | 2025-12-03 02:46:45+00:00
I think the obvious things are:

- Deviation in consistency/texture/color/etc.

- Obvious signs related to the above (eg: diarrhea, dehydration, blood in stool).

Ultimately though, you can get the same results by just looking down yourself and being curious if things look off...

tldr: this feels like literal internet-of-shit IoT stuff.
by notnullorvoid | 2025-12-03 02:47:02+00:00
Bun and Deno's goals seem quite different, I don't expect that to change. Bun is a one stop shop with an ever increasing number of built-in high-level APIs. Deno is focused on low level APIs, security, and building out a standard lib/ecosystem that (mostly) supports all JS environments.

People who like Bun for what it is are probably still going to, and same goes for Deno.

That being said I don't see how Anthropic is really adding long term stability to Bun.
by elmerfud | 2025-12-03 02:47:35+00:00
I don't mind Ai making mistakes because I don't deal with it in life critical things. I also think it's a tool like any other tool and doesn't deserve blind trust. Blind trust with anything is begging for problems. Even if you're turning wrenches if you blindly trust there's no defects or you're not over stressing it... You're about to get hurt badly. Same with AI use it but don't turn off your own intelligence.

What really bothers me about AI is the absolute arrogance of some of these models. It's like they have forgotten they are tools and believe that you are the tool for them to manipulate. I found Google's Gemini to be the worst about this. It will absolutely double down on some of the dumbest ideas. Most of the models when it presents you something that isn't right and you ask it to revalidate its assertions it will typically back down, admit the mistake, or it will come back with solid references where it found its answer.

With Google Gemini you have to beat it over the head before it realizes it was wrong. I was exploring some recipe ideas with Google Gemini. I'm no professional chef but I can usually spot if ratios or flavor combinations are off. I intentionally asked it about some specific flavor combinations where some of the flavors work together great but all of them together would produce something nasty and unpalatable. It kept insisting that all of those flavors were really good together. It would provide references that a few of them worked well together and what I would ask about all of them it would still insist that they all work together. Until I asked it to find a specific reference of a Michelin star chef endorsing all of these flavors as a single combination it wouldn't back down.

That's the kind of AI arrogance that's troubling. Because AI allows people who are not familiar with the topic they're discussing to believe they are more educated about it than they are. So AI begins to endorse things and they believe it.

I suspect a good social media channel would be having AI invent recipes and then subjecting yourself to the flavor horrors it presents you.
by johnnyanmac | 2025-12-03 02:47:35+00:00
I understand that and had some hard anxiety myself back then. Even these days I may be a bit shakey when love coding in an interview setting?

But is the false negative for a nervous pair programmer worse than a false positive for a leetcode question? Ideally a good interviewer would be able to separate the anxiety from the actual thinking and see that this person can actually think, but that's another undervalued skill among industry.
by gnabgib | 2025-12-03 02:48:13+00:00
Previously (16 points, 2 days ago, 3 comments) https://news.ycombinator.com/item?id=46097126

Related 2024: Zillow will now show climate risks for property listings in the US (7 points) https://news.ycombinator.com/item?id=41666817
by gwbas1c | 2025-12-03 02:48:21+00:00
You're getting far too defensive, and are missing the point that I'm making about fair use.

Then perhaps let me explain what I mean by fair use:

For example, I'd like to write an ebook reader that can give me an AI summary of the last chapter that I read, or give me a quick AI based summary of who a character is on the page that I'm reading.

Fair use means that I don't need to negotiate with every publisher and every author, or negotiate with Kindle to be able to access their content.

This is why we need compulsory licensing; it makes a middle ground between the exclusive control that you have when you create something, and the eventual entry into public domain.
by echelon | 2025-12-03 02:49:26+00:00
This is my thinking too. Local is going to be huge when it happens.

Once we have sufficient VRAM and speed, we're going to fly - not run - to a whole new class of applications. Things that just don't work in the cloud for one reason or another.

- The true power of a "World Model" like Genie 2 will never happen with latency. That will have to run locally. We want local AI game engines [1] we can step into like holodecks.

- Nobody is going to want to call OpenAI or Grok with personal matters. People want a local AI "girlfriend" or whatever. That shit needs to stay private for people.

- Image and video gen is a never ending cycle of "Our Content Filters Have Detected Harmful Prompts". You can't make totally safe for work images or videos of kids, men in atypical roles (men with their children = abuse!), women in atypical roles (woman in danger = abuse!), LGBT relationships, world leaders, celebs, popular IPs, etc. Everyone I interact with constantly brings these issues up.

- Robots will have to be local. You can't solve 6+DOF, dance routines, cutting food, etc. with 500ms latency.

- The RIAA is going door to door taking down each major music AI service. Suno just recently had two Billboard chart-topping songs? Congrats - now the RIAA lawyers have sued them and reached a settlement. Suno now won't let you download the music you create. They're going to remove the existing models and replace them with "officially licensed" musicians like Katy Perry® and Travis Scott™. You won't retain rights to anything you mix. This totally sucks and music models need to be 100% local and outside of their reach.

[1] Also, you have to see this mind-blowing interactive browser demo from 2022. It still makes my jaw drop: https://madebyoll.in/posts/game_emulation_via_dnn/
by mensetmanusman | 2025-12-03 02:50:26+00:00
This is a good use of government due to the existing dynamics.

Instead of only funding universities, provide lower risk curves for hiring juniors where the jobs are.

The big issue is the game theory of first mover disadvantage at play.

Whoever trains the junior loses all the investment when the junior jumps ship. This creates a natural situation of every company holding until the ‘foolish ones’ (in their eyes) waste resources on training.

Second mover advantage is real. This is what the government can fix.
by bediger4000 | 2025-12-03 02:52:33+00:00
I remember relying on the Trump $600 stimulus check back in 2021 just so I could make my $311 Honda Civic car payment

Biden was president in 2021. The stimulus checks were given credence in the media for causing the inflation that led to Trump's second term.

I'm not sure this article is doing credible economic analysis.
by sophia01 | 2025-12-03 02:52:40+00:00
It's Coca Cola vs Pepsi. Yes some might even say Pepsi has been shown to taste better, but people still buy loads of Coke.

Of course the tech savvy enterprises will use the best models. But the plumber down the road doesn't care whether she asks Gemini or ChatGPT about the sizing of some fittings.
by gowld | 2025-12-03 02:53:04+00:00
https://www.youtube.com/watch?v=DJklHwoYgBQ

Smart Pipe | Infomercials | Adult Swim

Everything in our lives is connected to the internet, so why not our toilets? Take a tour of Smart Pipe, the hot new tech startup that turns your waste into valuable information and fun social connectivity.

[Smart Pipe Inc. is a registered sex offender.]
by eellpp | 2025-12-03 02:54:10+00:00
Google had less incentive. Their incentive was to keep API bottled up and in brewing as long as possible so their existing moats in search, YouTube can extend in other areas. With openai they are forced to compete or perish.

Even with gemini in lead, its only till they extinguish or make chatgpt unviable for openai as business. OpenAI may loose the talent war and cease to be leader in this domain against google (or Facebook) , but in longer term their incentive to break fresh aligns with average user requirements . With Chinese AI just behind, may be google/microsoft have no choice either
by vivzkestrel | 2025-12-03 02:55:47+00:00
All they had to do was release "Windows Optimal", an operating system with 0 telemetry, 0 bloatware, 100% choice to not even let AI and Edge get installed in the 1st place, a single screen with all the 10000 options to control privacy and all of them set to good defaults. Charge 4x the price of Windows Professional if you must. But "Windows Optimal" is 2x faster than Windows 7, "here are some benchmarks" Imagine the amount of people who would seriously consider hopping to it even for a higher price
by addaon | 2025-12-03 02:56:07+00:00
You can, and we did an extremely limited form of that — see other comment on reducing correlations. But you have an energy limit from eye safety concerns, so energy spent on spreading the signal over time and modulating it directly takes away from power giving range. And doing non-trivial modulation isn’t easy — most of these pulses are generated by a capacitive discharge, which limits shaping.
by usef- | 2025-12-03 02:56:12+00:00
People did say the same thing about Youtube, which was unprofitable and extremely expensive to run in the early years. I remember thinking everyone would leave once ads were added.

At youtube's ad income rate (~$13/year), the current (but growing) ~800 million chatgpt users would add ~$10 billion. At facebook's rate (~$40-50/year) $32-40 billion. Potentially, an assistant would be more integrated into your life than either of those two.

The "audience retention" is the key question, not the profitability if they maintain their current audience. I've been surprised how many non-technical people I know don't want to try other models. "ChatGPT knows me".
Show HN: CodeProt – Filter static analysis false positives in CI
by allenz_cheung | 2025-12-03 02:56:46+00:00
Hi HN, I'm the creator of CodeProt. I got tired of reviewing 50 files just to find 3 indentation errors and missing the actual bugs buried in the noise. Traditional linters are great, but they often lack context, leading to a flood of false positives or trivial issues that clutter the PR review process. CodeProt solves this by connecting to your CI pipeline (GitHub Actions). It parses the raw output from your existing static analysis tools, compares it against the diff, and uses a context-aware LLM check to filter out false positives and irrelevant noise before they reach your PR comments. It's built to be a lightweight layer on top of your existing tools, not a replacement. Business Model: Free for open source projects, paid tier for private repositories and teams. Roast my code / Feedback welcome.
by appleiigs | 2025-12-03 02:57:31+00:00
Your blog article stopped at token generation... you need to continue to revenue per token. Then go even further... The revenue for AI company is a cost for the AI customer. Where is the AI customer going to get incremental profits from the cost of AI.

For short searches, the revenue per token is zero. The next step is $20 per month. For coding it's $100 per month. With the competition between Gemini, Grok, ChatGPT... it's not going higher. Maybe it goes lower since it's part of Google's playbook to give away things for free.
by sidibe | 2025-12-03 02:58:02+00:00
Google fragmented into multiple competing companies as well, that's where OpenAI itself came from. The problem is even after shedding employees into all these startups or established competitors trying to catch up, Google has way more people, money, and compute to throw at things and see what works than the rest of the industry. It's demoralizing and tempting for people to go back, which is also demoralizing
by neilv | 2025-12-03 02:58:20+00:00
> Kohler Health’s homepage, the page for the Kohler Health App, and a support page all use the term “end-to-end encryption” to describe the protection the app provides for data. Many media outlets included the claim in their articles covering the launch of the product.

When companies first wanted to sell things over the Web, a concern I heard a lot was that consumers would be afraid of getting ripped off somehow. So companies started emphasizing prominently how the customer was protected with n bits of encryption. As if this solved the problem. It did not, but people were confused by confident buzzwords.

(I was reminded of this, because I actually saw a modern Web site touting that prominently just last week, like maybe they were working from a 30 year-old Dotcom Marketing for Dummies book, and it was still not very applicable to the concern.)

Some marketers lie, or don't care what the truth is. They want success, and bonuses, and promotions. And, really, a toilet company possibly getting class-action sued for a feces camera that behaves in an unexpected way, that attorneys would have to convince a judge was misrepresented, and then quantify the unclear harm, and finally settle, several years later, for lawyers' fees and a $10 off coupon for the latest model Voyeur Toilet 3000... isn't on the radar of the marketers.
by notnullorvoid | 2025-12-03 02:58:24+00:00
I am more shocked about the origin story compared to the acquisition.

> Almost five years ago, I was building a Minecraft-y voxel game in the browser. The codebase got kind of large, and the iteration cycle time took 45 seconds to test if changes worked. Most of that time was spent waiting for the Next.js dev server to hot reload.

Why in the hell would anyone be using Next.js to make a 3D game... Jarred has always seemed pretty smart, but this makes no sense. He could've saved so much time and avoided building a whole new runtime by simply not using the completely wrong tool for the job.
by mythz | 2025-12-03 02:58:38+00:00
AI tools value simplicity, fast bootstrapping and iterations, this rules out the JVM which has the worst build system and package repositories I've ever had the displeasure of needing to use. Check in gradle binaries in 2025? Having to wait days for packages to sync? Windows/Linux gradle wrappers for every project? Broken builds and churn after every major upgrade. It's broken beyond repair.

By contrast `bun install` is about as good as it gets.
by hn_throwaway_99 | 2025-12-03 03:00:01+00:00
Not to be rude, but that didn't answer my question.

Taking a look at IBM's Watson page, https://www.ibm.com/watson, it appears to me that they basically started over with "watsonx" in 2023 (after ChatGPT was released) and what's there now is basically just a hat tip to their previous branding.
by zhyder | 2025-12-03 03:04:09+00:00
It's all about the chip economics. I don't know how the _manufacturing cost_ of Google's TPUs compares to Nvidia's GPUs, for inference of equivalent token throughput.

But at the moment Nvidia's 75-80% gross margin is slowly killing its customers like OpenAI. Eventually Nvidia will drop its margins, because non-0 profit from OpenAI is better than the 0 it'll be if OpenAI doesn't survive. Will be interesting to see if, say, 1/3 the chip cost would make OpenAI gross margin profitable... numbers bandied in this thread of $20B revenue with $115B cost imply they need 1/6 the chip cost, but I doubt those numbers are right (hard to get accurate $ numbers for a private company for the benefit of us arm-chair commenters).
by jimbo808 | 2025-12-03 03:04:20+00:00
I don't believe that they believe it, I believe that they're all in on doing all the things you'd do if your goal was to demonstrate to investors that you truly believe it.

The safety-focused labs are the marketing department.

An AI that can actually think and reason, and not just pretend to by regurgitating/paraphrasing text that humans wrote, is not something we're on any path to building right now. They keep telling us these things are going to discover novel drugs and do all sorts of important science, but internally, they are well aware that these LLM architectures fundamentally can't do that.

A transformer-based LLM can't do any of the things you'd need to be able to do as an intelligent system. It has no truth model, and lacks any mechanism of understanding its own output. It can't learn and apply new information, especially not if it can't fit within one context window. It has no way to evaluate if a particular sequence of tokens is likely to be accurate, because it only selects them based on the probability of appearing in a similar sequence, based on the training data. It can't internally distinguish "false but plausible" from "true but rare." Many things that would be obviously wrong to a human, would appear to be "obviously" correct when viewed from the perspective of an LLM's math.

These flaws are massive, and IMO, insurmountable. It doesn't matter if it can do 50% of a person's work effectively, because you can't reliably predict which 50% it will do. Given this unpredictability, its output has to be very carefuly reviewed by an expert in order to be used for any work that matters. Even worse, the mistakes it makes are meant to be difficult to spot, because it will always generate the text that looks the most right. Spotting the fuckup in something that was optimized not to look like a fuckup is much more difficult than reviewing work done by a well-intentioned human.
by calebio | 2025-12-03 03:04:33+00:00
It was only a decade or so ago that "End-To-End Encryption" began to mean something other than "encrypted in transit".

E2EE now means something wildly different in the context of messaging applications and the like (since like 2014) so this is more of an outdated way of saying "no one is getting your poop pictures between your toilet and us".

It also feels like it would never make sense for this to be "E2EE encrypted" in the modern sense of the term as the "end user recipient" of the message is the service provider (Kohler) itself. "Encrypted in Transit" and "Encrypted at Rest" is about as good as you're going to get here IMO as the service provider is going to have to have access to the keys, so E2EE in a product like this is kind of impossible if you're not doing the processing on the device.

I wonder if they encrypt it and then send it over TLS or if they're just relying on TLS as the client->server encryption. Restated, I wonder how deep in their stack the encrypted blob goes before it's decrypted.
by wkat4242 | 2025-12-03 03:05:15+00:00
I don't think you understand my point of view and also smokedetector1's with whom I wholeheartedly agree.

Economics and money is just numbers. It's not a measure of happiness in life. I just want to have enough money to not worry in life, I don't care about having much more than others. Doing a job I enjoy in a place I enjoy is worth much more to me. Would Elon Musk, the richest guy in the world be happier than me? I don't think he is, he's always angry about something. I wouldn't want to trade places with him. Having that kind of money is a burden, never being able to just walk around and discover a new town without a security detail, or partying until 6am without journalists capturing everything I do.

A big house doesn't make me (much) happier. A car definitely doesn't, driving really stresses me out (and I have a lot of driving experience having lived in many countries). We have great public transport here and that's enough for me because I live in the city.

And economics isn't really an exact science in my book. It's a social science, psychology based on human constructs. Which are different here in Europe anyway (more socialist). We chose to make the world work like this but it could be different too. More fair.

I moved to a lower wage country to have a better life and I'm a lot happier now. I will never be rich but I don't care. It's not a race to be the top, I want everyone to have a good life.
by somenameforme | 2025-12-03 03:05:19+00:00
I don't think this is something just for elites at all, because so much of this happens at the home. So for instance I completely agree on the boredom and have factored into how I raise my children. Similarly, I also agree on the importance of not having answers simply handed to you. Another one as well is realizing that not everything you're told is true, which is a big part of the reason that I ultimately decided that Santa exists for them. And it makes me wonder if that wasn't the point all along, because it doesn't feel right to lie to your kids for years.