MurphyA/hacker-news huggingface dataset:
by lynx97 | 2026-03-03 14:26:59+00:00
The topic is MacBook, so my criticism is a little off. However, I really dont believe in this "local LLM" promise from Apple. My phone already gets noticeably warm if I answer 5 WhatsApp messages. And looses 5% of battery during the process. I highly doubt Apple will have a useable local LLM that doesn't drain my battery in minutes, before 2030.
by gurachek | 2026-03-03 14:27:18+00:00
I built this because it's easier for me to treat interview & job search as a math game, and math needs numbers(lol?). The original component works with voice, because engineers delivery collapse under interview pressure and it's hard to practice with just text.

The tool scores your answer on Structure, Completeness, Clarity, and
Conciseness (0-10 each), then gives you one specific fix. No signup required.

Built with Laravel + Vue + Claude Sonnet 4.6. The scoring rubric is visible on the page + OG image.

Looking for feedback on the scoring calibration especially. Does it feel
accurate to your experience?
by game_the0ry | 2026-03-03 14:27:24+00:00
> Are they doubling down on local LLMs then?

Honestly, I think that's the move for apple. They do not seem to have any interest in creating a frontier lab/model -- why would they give the capex and how far behind they are.

But open source models (Kimi, Deepseek, Qwen) are getting better and better, and apple makes excellent hardware for local LLMs. How appealing would it be to have your own LLM that knows all your secrets and doesnt serve you ads/slop, versus OpenAI and SCam Altman having all your secrets? I would seriously consider it even if the performance was not quite there. And no need for subscription + cli tool.

I think apple is in the best position to have native AI, versus the competition which end up being edge nodes for the big 4 frontier labs.
by 9rx | 2026-03-03 14:27:33+00:00
Not really. That might change due to what is going on in the world, which is now seeing provinces having to become serious about expanding into new markets, but in the past sharing timezones with the USA has been much more important for the sake of industry. Again, things are now starting to change, but historically the provinces haven't even had free trade between themselves — despite having free trade agreements with the USA. That's how much they have worked together.
by bluefirebrand | 2026-03-03 14:27:49+00:00
> I'm still balancing on whether we "need" to know what's happening.

Of course we do. Otherwise we start trying to water crops with Brawndo

> Very few understand deeply what's happening within the computer between the cou and the bridges and the rest

But it's very very important that those people deeply understand it. We cannot replace their actual knowledge with LLM approximations of their knowledge
by jsheard | 2026-03-03 14:28:05+00:00
> Look how many people bought Minis and ended up just paying for API calls anyway. (Saw it IRL 2x, see it on reddit openclaw daily)

Aren't the OpenClaw enjoyers buying Mac Minis because it's the cheapest thing which runs macOS, the only platform which can programmatically interface with iMessage and other Apple ecosystem stuff? It has nothing to do with the hardware really.

Still, buying a brand new Mac Mini for that purpose is kind of pointless when a used M1 model would achieve the same thing.
by tea_guppy | 2026-03-03 14:28:07+00:00
I'm the author. I was using Claude Cowork — Anthropic's research preview that controls your browser — to help fill out App Store Connect forms. It's a complicated process to fill it out right. This was my first submission, and I was on my third round of revisions. About 24 hours later I got a termination letter citing 'fraudulent conduct' and Section 3.2(f) — which covers 'actions that may hinder the performance or intended use of the App Store.' That's not a fraud clause. That's an interference clause. It reads like their system flagged automated browser activity. The app had zero users, zero revenue, and is live on Google Play with no issues. My warning to other devs: be very careful using any AI tool or browser automation near App Store Connect.
For context: Apple terminated 146,747 developer accounts in 2024. Only 225 were reinstated — a 2.8% rate. EU developers get mandatory explanations and real appeals under the DSA. American developers get silence.
by andy_ppp | 2026-03-03 14:28:09+00:00
It is simply marketing nonsense - what they really mean (I think) is they support matrix multiplication (matmul) at the hardware level which given AI is mostly matrix multiplications you'll get much faster inference (and some increase in training too) on this new hardware. I'm looking forward to seeing how fast a local 96gb+ LLM is on the M5 Max with 128gb of RAM.
by armchairhacker | 2026-03-03 14:28:23+00:00
The gist ("product becomes a black box") applies to any abstraction. It could apply to high-level languages (including so-called "low-level" languages like C), and few people criticize those.

But LLMs are particularly insidious because they're a particularly leaky abstraction. If you ask an LLM to implement something:

- First, there's only a chance it will output something that works at all

- Then, it may fail on edge-cases

- Then, unless it's very trivial, the code will be spaghetti, so neither you nor the LLM can extend it

Vs a language like C, where the original source is indecipherable from the assembly but the assembly is almost certainly correct. When GCC or clang does fail, only an expert can figure out why, but it happens rarely enough that there's always an expert available to look at it.

Even if LLMs get better, English itself is a bad programming language, because it's imprecise and not modular. Tasks like "style a website exactly how I want" or "implement this complex algorithm" you can't describe without being extremely verbose and inventing jargon (or being extremely more verbose), at which point you'd spend less effort and write less using a real programming language.

If people end up producing all code (or art) with AI, it won't be through prompts, but fancy (perhaps project-specific) GUIs if not brain interfaces.
by gracelynewhouse | 2026-03-03 14:28:27+00:00
The pattern here isn't really about individual negligence — it's a systems design problem. We keep deploying LLMs into workflows where the failure mode is "plausible-sounding fabrication" and the downstream consequence is legal or institutional harm, then blaming the end user for not catching it.

The better question is why these tools are being integrated into judicial workflows without mandatory citation verification layers. The EU AI Act classifies judicial AI as high-risk and requires human oversight mechanisms specifically for this reason. India's Digital Personal Data Protection Act (2023) doesn't yet have equivalent provisions for AI in courts, which is the actual gap.

From an engineering standpoint, the fix is straightforward: any LLM-assisted legal research tool should require grounded retrieval (RAG against verified case law databases) with mandatory source links that the user must click through before citing. The fact that most legal AI tools still don't enforce this is a product design failure, not a user education problem.
by seethishat | 2026-03-03 14:28:52+00:00
Abstractions have been happening since the 1970s when ASM was replaced by the C Programming Language. From there we got C++ (look, it actually has a string type that most humans understand!) then we got memory safe managed languages like Go that is almost human readable, runs almost everywhere and doesn't have buffer overflows.

ASM was machine specific. C was portable but required expert programmers. C++ was even more user friendly, but still very hard for normal people. Today, most anyone can write a program in Go.

The more we abstract, the less knowledge/expertise is needed. So yes, programs are being built by people who don't really understand what they are doing. That is intended.
by abrie | 2026-03-03 14:28:54+00:00
TinyJet[1] is a game I've been working on. Left and right arrows control thrust. Pick up cargo and carry it to the terminal at the other end. It's very difficult. Almost entirely AI generated. About 1100 prompts so far with a growing collection of (vibe coded) agents and tools to facilitate development.

[1](https://fargostation.itch.io/line-of-flight)
by evara-ai | 2026-03-03 14:28:58+00:00
This is a real operational problem when you're building client-facing automation systems on top of these APIs. I build chatbots, workflow automation, and AI agent systems for clients — and the hardest conversation is explaining that your system's uptime is fundamentally capped by your LLM provider's uptime.

Patterns that have helped in production:

1. Multi-provider fallback. For conversational systems, route to Claude by default, fall back to GPT-4 on 5xx errors. The response quality difference is usually acceptable for the 2-3% of requests that hit the fallback. This turns a hard outage into a slight quality degradation.

2. Async queuing for non-real-time workflows. If you're processing documents, generating reports, or running batch analysis — don't call the API synchronously. Queue the work, retry with exponential backoff, and let the system self-heal when the API recovers. Most of our automation pipelines run with a 15-minute SLA, not a 500ms one.

3. Graceful degradation in real-time systems. For chatbots and voice agents, have a scripted fallback path. "I'm having trouble processing that right now — let me transfer you to a human" is infinitely better than a hung connection or error message.

The broader issue: we're all building on infrastructure where "four nines" isn't even on the roadmap yet. That's fine if you architect for it — treat LLM APIs like any other unreliable external dependency, not like a database query.
by moebrowne | 2026-03-03 14:28:59+00:00
Is this it:

> Telephone company executives wondered whether the standard cord, then about three feet long, might be shortened. Mr. Karlin’s staff stole into colleagues’ offices every three days and covertly shortened their phone cords, an inch at time. No one noticed, they found, until the cords had lost an entire foot.

https://www.nytimes.com/2013/02/09/business/john-e-karlin-wh...
by dennisnguyen | 2026-03-03 14:29:20+00:00
Senior Front End Engineer | Ex Meta | Data Visualization | Proficient in React, TypeScript, Next.js | Web & Mobile & PWA

⬤ Available Now ⬤

Location: US Remote | Gainesville, FL, United States
Remote: Yes
Willing to relocate: No
Technologies and tools:
* Frameworks and Languages: TypeScript, JavaScript, Next.js, React 18+, 19, HTML, CSS, Python, Node.js, Django
* Mobile Responsive and UI/UX: Tailwind CSS, ShadCN, Daisy UI, Chakra UI, Material UI, styled component
* State Management: Redux ToolKit (RTK), Zustand, Jotai
* Data Visualization: D3, Visx, WebGL, Three.js
* API Integration: Restful API, GraphQL, SWR, tRPC, Prisma
* Testing: Jest, Cypress, Playwright
* Cloud: AWS, CloudScape, GCP, Azure
* Others: AI/LLM, Luma, Webpack, Docker, Cursor, Claude code
Résumé/CV: https://drive.google.com/file/d/15N4TPbI4Z5uOu3vHqnjL90NlwCAT3lVP/view?usp=sharing
Email: dennisduongn@gmail.com
Personal Website: https://dennisawesome.vercel.app/

Hi there! I'm Dennis, Senior Frontend Engineer with 7+ years of experience designing, building, and leading the delivery of sophisticated web applications across diverse environments, from Meta's large-scale platforms (WhatsApp, Ads) to dynamic agency startup environment (Wolf Carries) and enterprise SaaS (InfoTech). Proven ability to architect performant, accessible, and scalable UIs using React, Next.js, and TypeScript, seamlessly integrating with various backends (GraphQL, tRPC, REST) and cutting-edge technologies like AI/LLMs, WebRTC, and blockchain analytics. Adept at translating complex requirements into user-centric solutions that drive engagement and business value.

※ If you want to learn more about me, please check it out here: https://dennisawesome.vercel.app/

Then drop me a line! Thank you,

Dennis.
by mistersquid | 2026-03-03 14:29:20+00:00
> Also the non-XDR is only a small upgrade otherwise, no 120Hz, no HDR, only Thunderbolt 5 and a new camera. Finally a downstream Thunderbolt port though.

The camera is still 12MP but offers Desk View. Maybe this is a feature unlocked by the improved onboard A-series chip (A19?).

I wouldn't sniff too hard about Thunderbolt 5. Thunderbolt 5 doubles throughput to 80 Gbps from 40.

Would have loved refresh above 60Hz but then who's gonna get the XDR?
by gracelynewhouse | 2026-03-03 14:29:41+00:00
Interesting to see CV applied to aquaculture — this is one of those domains where the ROI on automation is enormous but underexplored because the talent pipeline skews toward adtech and fintech.

One thing I'd push on: how are you handling distribution shift from turbidity and lighting variation across facilities? In my experience deploying vision models in non-controlled environments (industrial, not fish specifically), the gap between lab accuracy and production accuracy is almost entirely driven by domain shift in image quality. Continuous calibration pipelines — where you flag low-confidence predictions for human review and retrain on the corrected labels — tend to matter more than the initial model architecture choice.

Also curious about the welfare angle that came up in the thread. Selective breeding guided by phenotype scoring has obvious parallels to the poultry industry's problematic optimization for growth rate. Are you building in any multi-objective constraints (e.g., health markers alongside growth metrics) to avoid that failure mode?
by murm | 2026-03-03 14:29:50+00:00
Well, the Hebrew word for adversary or opponent is satan. Regardless of whether you actually believe in satan or god(s), I don't think it's entirely unreasonable to point out that there are lots of adversarial things happening in the world at the moment. All sorts of things in opposition to peace, to harmony, to human flourishing, etc., which are the good things any sane human would pursue.

I think the main goal of an opponent, concrete or imaginary, is to leave you in a discouraged state. When you get discouraged, you start to lose your momentum and your will to live. You become anxious, paralyzed and confused, which is to say: easy to defeat. This is exactly what an adversary would want you to do.

So, to answer the question: I do everything in my power to not get discouraged. I keep on trucking, being productive, helping out people, taking care of my loved ones and maintaining a positive, lighthearted mindset. I am hitting back by the sheer audacity of staying cheerful in these times, because that would absolutely enrage an enemy that wants to see me discouraged and defeated.
by PacificSpecific | 2026-03-03 14:29:57+00:00
That's definitely been my experience. I work with a lot of weird code bases that have never been public facing and AI has horrible responses for that stuff.

As soon as I tried to make a todomvc it started working great but I wonder how much value that really brings to the table.

It's great for me though. I can finally make a todomvc tailored to my specific needs.
by gracelynewhouse | 2026-03-03 14:30:41+00:00
The individual firing is a distraction from the structural issue. Newsrooms have been cutting editorial staff for a decade, which means the verification layers that would have caught this — fact-checkers, copy editors, senior editors doing source verification — largely don't exist anymore. Then they adopt AI tools that increase throughput without increasing oversight capacity, and act surprised when fabrication slips through.

This is a classic systems failure: you remove the safety mechanisms, add a new source of risk, and punish the individual operator. It's the same pattern you see in industrial accidents. The Swiss cheese model applies — every editorial layer that got cut was a slice of cheese being removed.

The more interesting policy question is whether publications should be required to disclose AI tool usage in their editorial process, similar to how financial publications disclose conflicts of interest. The FTC has signaled interest in AI-generated content transparency but hasn't issued concrete guidance for journalism yet.
by brookst | 2026-03-03 14:30:50+00:00
I interpret the same facts differently: I see Apple realizing that the SE form factor doesn’t sell enough to be worth it, and trying something different with the Air. It sounds like the Air will likely go the way of the SE, with occasional updates but not every year.

Apple is very good at market research and understanding users… but not perfect. I think they genuinely believed the Air would sell a lot more than it did.

And “millions” is not necessarily a lot. Apple sells 250 million phones a year. A SKU that sells 3 million is a distraction with much lower ROI against R&D than a mainline phone. It takes just as much engineering to create and as much manufacturing to produce, so fixed costs are spread among many fewer units.
by a4isms | 2026-03-03 14:31:43+00:00
A few of the remaining newspapers I'm aware of run business awards (Best restaurant, etc), and the way to win is via wining and dining them, even though the paper claims it's based on people's votes.

Is that how it works where you are? Because over here, the best way to win an award from a publication is to advertise in that publication. Advertise enough, and you'll also become their go-to when they need a quote about anything vaguely related to your restaurant or other business, and once a year or so they'll print some hagiographic article about the amazing things going on under your leadership.
by roywiggins | 2026-03-03 14:32:49+00:00
I'll be honest I really did have slightly higher hopes for computer-touchers when it comes to retaining cognitive authority over machines.

Instead it seems like there's a solid core of people who have always wanted to outsource their brains entirely to machines, and have finally got their wish.

I'm old enough to remember when we joked about normies who were dumb enough to let computers think for them.
by giancarlostoro | 2026-03-03 14:33:16+00:00
I don't think it was respect, as much as I respect what he did with Apple and tech in general. Every single story about money with Steve Jobs revolves around him refusing to give up any of it. He even scammed Steve Wozniak by lying to him how much they were being paid, to which Steve said he would have gladly given him money if he needed money. I don't think Steve needed it, he was like Mr. Krabs from Spongebob. Even his biological daughter, he refused to leave her a penny or acknowledge that she was his daughter, even after a court ordered DNA test proved she was his daughter. He paid the minimal in child support.

For Steve Jobs it was not about respect or value, that's the lie. It was about greed.
by ElProlactin | 2026-03-03 14:33:17+00:00
I think his actions speak for themselves. Facebook, effectively completely controlled by Zuckerberg, has consistently taken actions that erode privacy and degrade mental health.

And no, not every young person has the attitude that Zuckerberg demonstrated in his "dumb f...s" comment. If my son or daughter was behaving like that in their late teens/early twenties I would be ashamed and feel like a failure as a parent.
by OutOfHere | 2026-03-03 14:33:27+00:00
Why is "AI-generated code" not also "AI art"? What makes "AI-generated code" copyrightable then? Nothing! Being that everything will be made using AI in the future, the courts just suicided the copyright system! Or where exactly does art end and code begin? The same applies to documents and designs.

If I take your AI-generated code file and write it as an artsy-looking image, do I get to deny you copyright?
by eager_noob | 2026-03-03 14:33:31+00:00
Location: India
Remote: Yes (preferred)
Technologies: Ruby on Rails, Go, Elixir, Rust
Résumé/CV: https://namanjha.in/cv/
Github: https://github.com/jha-naman
Email: createnaman@gmail.com

Backend developer with over seven years experience building, maintaining and debugging complex web-apps.
by general_reveal | 2026-03-03 14:33:38+00:00
It’s not necessarily doubling down on local. The reality is your LLM should be inferencing every tick … the same way your brain thinks every. Fucking. Nano. Second.

So yes, the LLM should be inferencing on your prompt, but it should also be inferencing on 25,000 other things … in parallel.

Those are the compute needs.

We just need compute everywhere as fast as possible.
by sct202 | 2026-03-03 14:33:39+00:00
You can shape the AI responses for some niche topics relatively easily even on accident. I recently saw 2 people arguing on a forum on a very niche industry topic and one of them started to use Gemini as a source to argue and Gemini was already referencing their thread as a source. I'm imagining people could start doing that on purpose with their own astroturfed blogs and public social media accounts.
by neom | 2026-03-03 14:33:59+00:00
For me going way back, it was exciting when I had to save a bit (but not too much!) for a new 512 DIMM, and when I opened the box and smelled the chip smell, put it in always worried I was going to fuck it up, and then computer literally felt faster that next boot...that was pretty fun!! Now it's like oh great $5k for a slab of stone that can do pretty much anything, neat. I still think computers are cool, just not particularly exciting.
by brookst | 2026-03-03 14:34:03+00:00
Actually… no. Now that you mention it, and thanks for the interesting thought, the failure modes seem pretty similar to me.

Shoddy research / hallucination, tendency to lose the thread, lack of historical / background context… the failure modes are at least qualitatively similar.

Show me an LLM failure and I’ll show you a high profile journalist busted for the same thing. And those are humans who focus on these things!
by dathinab | 2026-03-03 14:34:06+00:00
Long standing well known issue, no copyright (in many countries) and (in some countries) non patentable, too.

Through this isn't true for AI assisted art.

And the gray area is very wide and very legal unclear (gray area between human art with AI assistance (e.g. "AI"/transformer architecture based line smoothing or color calibration) and AI art with human touch added to it).
by sofixa | 2026-03-03 14:34:08+00:00
There is, and it would cause an outage while still not achieving the supposed goal of not going over budget. You don't want to be killing your customer's production over potential misconfigurations/forgotten budgets. Especially when you'd continue to bill them for the storage and other static things like IPs.

It's so much easier for them to have support wave accidental overuses.
by Growtika | 2026-03-03 14:34:44+00:00
A couple years back John Reilly posted on HN "How I ruined my SEO" and I helped him fix it for free. He wrote about the whole thing here: https://johnnyreilly.com/how-we-fixed-my-seo

Happy to do the same for you if you want.

The quickest win in your case: map all the backlinks the .net site got (happy to pull this for you), then email every publication that linked to it. "Hey, you covered NanoClaw but linked to a fake site, here's the real one." You'd be surprised how many will actually swap the link. That alone could flip things.

Beyond that there's some technical SEO stuff on nanoclaw.dev that would help - structured data, schema, signals for search engines and LLMs. Happy to walk you through it.
by thenamo | 2026-03-03 14:35:09+00:00
Built Knowdust as a single place for the small utilities people constantly Google separately — QR code generator, barcode maker, JSON encoder, and more. Free to use, no account needed for most tools. Pro unlocks batch processing, usage history, and custom themes. Would love feedback from the HN community on the tool selection, UX, and what's missing.