MurphyA/hacker-news huggingface dataset:
by flawn | 2026-03-04 15:20:12+00:00
I get that but the core issue is not inconvenience but the fact that also doing that still locks you out of applications that many people call essential (tap2pay, banking, streaming, other various apps relying on Play Integrity).

Google is actively locking down the ecosystem in that regard and it would be amazing having a company that caters to people that are savvy AND would like to still be attested for integrity tests (assuming Google would be OK with that, but as mentioned in another comment unlikely)
by danielhanchen | 2026-03-04 15:20:43+00:00
These are fair points considering LLMs are getting smarter and better every week - but to be fair the biggest benefits of finetuning / RL are still not yet realized:

1. If we have robots at home, they need some sort of efficient continual learning, which could be on the go finetuning / RL via some small LoRA - this will need to do multimodal finetuning with sparse reward signals - one could also imagine all data is aggregated to one central processing center after anonymization, and training a larger model with more data + RL like that

2. Agreed images, audio, video etc is what still LoRA does well - the guide at https://unsloth.ai/docs/models/qwen3.5/fine-tune is actually a vision + text finetuning guide, so you can finetune the vision layers on your own use case

3. Model routing is going to be more the norm in the future - ie locally smallish models with LoRA for continuous finetuning can be used, but complex tasks can be offloaded to a large LLM in the cloud.

4. I also wrote about more use-cases below on the post - DoorDash, Vercel, Mercor, Stripe, NASA, Perplexity, Cursor and many others all do finetuning - for eg Cursor, Perplexity finetune large OSS LLMs themselves for their specific product lines - so there is definitely value if you have the data for it.
by ncgl | 2026-03-04 15:20:47+00:00
I kept seeing this headline...but this is the first time I've seen it from a credible source.

I think we've lost the sensitivity to respond to this nonsense. Years of rage baiting etc.

I think Trump could take full autocratic control of this country and nothing would happen at all. Not from the citizens, not from congress. It would be business as usual as we shushed our nerves with "this is just fake news" or "I'm trying to live an unplugged life" or "if it was really bad somebody would do something about it"
by antirez | 2026-03-04 15:20:54+00:00
With the current context windows and the ability those models did RL to work as agents, it's much faster and reliable for them to use tools and find the information before replying. Much better, no hallucinations problems (or a lot less), no fine tuning needed when information changes. I believe it is exactly in this case that fine tuning is no longer useful, and even in the past worked at very different degrees of quality.
by commandersaki | 2026-03-04 15:21:09+00:00
So in Australia this is $749 after education discounts.

I looked at OfficeWorks and I found some really cheap Chromebooks at the $300-500 level.

I picked two $500 Chromebooks:

- HP 14" Chromebook N200 8/128GB with usb-c + usb-a (quad-core).

- Lenovo IdeaPad 3i 15.6" Chromebook Laptop 8/128GB Celeron.

Looks like both are 1080p displays.

First at simple tech spec glance they're below the entry level Neo except they both have larger displays, but obviously as Neo costs $250 more.

But the question then is what do you get for that $250 more. I think once you take into consideration the finish, keyboard, webcam/mic, speakers, display, and even Apple's support which can be sometimes pretty decent, you're looking at a pretty strong contender.

The problem I expect though is that people tend not to be educated consumers and don't look into the other aspects outside of specs or cost, so Apple is really selling on branding, word of mouth, and probably through their salespeople at the stores. But also, if we start seeing these one the shelves of JB-Hifi, Officeworks, etc. (for US your local Best Buy and Walmart I guess), then it could penetrate the market well.

Assuming the Neo embodies Apple's signature quality and reliability, I hope it does well for first time laptop users / early education market.
by simonw | 2026-03-04 15:21:40+00:00
This is genuinely one of the most interesting questions right now. I don't have solid answers yet, and I'm very keen to learn what people are finding works.

If you accelerate the pace of code creation it inevitably creates bottlenecks elsewhere. Code review is by far the biggest of those right now.

There may be an argument for leaning less on code review. When code is expensive to produce and is likely to stay in production for many years it's obviously important to review it very carefully. If code is cheap and can be inexpensively replaced maybe we can lower our review standards?

But I don't want to lower my standards! I want the code I'm producing with coding agents to be better than the code I would produce without them.

There are some aspects of code review that you cannot skimp on. Things like coding standards may not matter as much, but security review will never be optional.

I've recently been wondering what we can learn from security teams at large companies. Once you have dozens or hundreds of teams shipping features at the same time - teams with varying levels of experience - you can no longer trust those teams not to make mistakes. I expect that the same strategies used by security teams at Facebook/Google-scale organizations could now be relevant to smaller organizations where coding agents are responsible for increasing amounts of code.

Generally though I think this is very much an unsolved problem. I hope to document the effective patterns for this as they emerge.
by praptak | 2026-03-04 15:22:03+00:00
The point is the interviewers are sometimes obtuse.

Sometimes the point of the interview is to see if the candidate knows an existing solution and "just use postgres" is the good answer. Sometimes it's to test the technical chops and pretending postgres doesn't exist is the point.

The candidate shouldn't be expected to always guess right, unless the position says "a psychic". The interviewer should notice if the candidate is solving the wrong kind of problem and nudge them in the right direction instead of punishing the candidate for the wrong guess.
by elxr | 2026-03-04 15:22:06+00:00
It used to feel way better, that's the issue.

Tahoe is a massive regression in my personal experience (16GB here). So many random bugs and menu bar pop-up slowdowns (how is the system menu bar this unresponsive?).

Spotlight has gotten so bad, I can literally count the time it takes between typing the app name and the result showing up in the dropdown. Ended up switching Spotlight to Tuna.
by testfrequency | 2026-03-04 15:22:08+00:00
I never talked about build quality. There are in fact nice quality ChromeOS devices, it’s just arguably never worth the added expense.

The argument with Chromebooks is you can usually buy 4 of them at the cost of a single Mac.

My point is device management and security. This is what enterprise and education cares about and scopes around.

macOS is not nearly as robust or secure to manage as ChromeOS, and Windows flys above both with almost every single feature being manageable at a domain level.

Also your AI point is moot. Enterprise and Education have much different terms than consumers.

You think Apple is letting Google, Slack, and Zoom use their internal company data for training?
by sensanaty | 2026-03-04 15:22:10+00:00
What use is earning all that extra cash if you're working yourself to death with no way to enjoy the money? I work in a large international org and despite the people in the US earning a lot more than their EU counterparts, they also pretty much universally seem more miserable, are working all sorts of odd hours, have basically no holidays (the amount of times I've gotten a "Vacation again!?" questions from people in the US is insane to me), have to stress more about doctors visits and stuff like that.

I've had a lot of opportunities to be earning a lot more than I do now by moving to the US, but seeing the state of the US I'm more than happy with my 32 hour contract and 5 weeks of vacations that I get to actually enjoy.
by youknownothing | 2026-03-04 15:22:10+00:00
Hype will come down once scalability problems start to show up. It's the same with every new technology: people get excited from the results of their PoC not realising that a PoC is smaller in scope and therefore has better chances of working. Then you try to translate that to a proper project and it all falls apart.

Agentic coding will accelerate things, but you'll still need the engineers.

Power tools didn't get rid of the tradespeople, they just made the ones that knew how to use the more efficient.
by patty_pie | 2026-03-04 15:22:36+00:00
The per-service calibration factor is the right call — blended totals are useless for attribution. Curious how stable your factors are over time though. In our experience, volume discounts and reserved capacity shift the multiplier enough month-to-month that historical restating becomes a moving target. Are you versioning the calibration factors, or just applying the latest one when you restate?
by checkmatez | 2026-03-04 15:22:38+00:00
"Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away." Antoine de Saint-Exupéry.

It's hard to keep things simple. Management should be mindful of that and encourage engineers to follow YAGNI, to do refactorings that remove more code than they add, etc.
by tw04 | 2026-03-04 15:22:40+00:00
And I'm guessing those schools have never had Apple products and never will.

It turns out "every school district in America" probably wasn't the target they were shooting for. And frankly even if they do have a cheap replacement plan, schools that are 100% low income aren't spending $500 per student on a laptop, they'll be buying the cheapest chromebooks they can find if they provide any takehome option at all.
by lucianbr | 2026-03-04 15:23:12+00:00
> The point is show how much you know and how smart you are.

I like that this sentence can be read both as a productive, well-meaning view on interviews, as well as a highly cynical one.

Also makes me wonder if the person will keep showing how much they know and how smart they are after they are hired, and if that is a good thing.
by wadadadad | 2026-03-04 15:23:32+00:00
100% interviews are about communication and demonstrating thought process; after going through some rounds of interviewing candidates myself, any candidate who can adequately explain what they're thinking and how they arrive at their conclusions will be able to demonstrate their skills much more thoroughly than 'just use Postgres'.

That being said, it's also on the ones giving the interviews to push the candidates and ensure that they really are receiving the applicants best. The interviewers don't want to miss potentially great candidates (interviews are hard and nerve-wracking, and engineers aren't known for their social performance), and thus sometimes need to help nudge the candidates in the right direction.
by igravious | 2026-03-04 15:23:43+00:00
> But with someone holding the leash

i've been thinking about why we call them agent harnesses

i know all analogies suck in different ways but here goes:

coding agents are like horses. without a harness and bridle they'll the horse will do as it pleases -- a human can't travel very far and fast by foot but put a bridle and a harness on a horse, give it a bit of coaxing with carrot and stick, add in a bit a pointing the thing in the right direction and bingo you're off to the races!
by Mtorres1979 | 2026-03-04 15:23:59+00:00
Hey HN I built ClawTemplate after spending too much time manually
setting up Claude Code environments across projects

The problem: every time I start a new project with Claude Code
(OpenClaw), I'm copy-pasting Docker Compose files, writing the same
skills and hooks from scratch, and trying to remember which security
guardrails to add. It's repetitive and easy to get wrong
ClawTemplate Builder lets you pick from curated outcome templates
(Docker setups, skill packs, workspace hooks) and exports a
reproducible ZIP bundle — including a docker-compose.yml and
claude_code_config ready to go.

Still early (waitlist), but the core idea: treat your Claude Code
config as infrastructure, not a one-off script.

Happy to hear if anyone else has felt this pain or if I'm solving
the wrong problem.
by gwd | 2026-03-04 15:24:19+00:00
This was pointed out humorously by Douglas Adams:

> "..am I alone in finding the expression 'it turns out' to be incredibly useful? It allows you to make swift, succinct, and authoritative connections between otherwise randomly unconnected statements without the trouble of explaining what your source or authority actually is. It's great. It's hugely better than its predecessors 'I read somewhere that...' or the craven 'they say that...' because it suggests not only that whatever flimsy bit of urban mythology you are passing on is actually based on brand new, ground breaking research, but that it's research in which you yourself were intimately involved. But again, with no actual authority anywhere in sight."
by ESqHiring | 2026-03-04 15:24:30+00:00
Engineering Square | Telecom Solution Engineer | New York, NY | HYBRID | Contract 12+ Months

Senior Telecom Solution Engineer / Solutions Architect to lead a Channel Bank and legacy telecom retirement initiative at a regulated utility.

You'll evaluate legacy TDM-based systems (Channel Bank, POTS, 56K, T1), map service dependencies, and design phased migrations to modern Ethernet, MPLS, fiber, and wireless solutions.

Key work: service inventory & dependency analysis, migration planning, carrier engagement (ordering, provisioning, turn-ups, disconnects), cutover leadership, risk management, and formal decommissioning to realize cost savings.

Must have deep hands-on telecom experience: TDM/POTS/T1 retirement, Ethernet/MPLS/fiber migrations, carrier coordination, change management in utility/regulated environments.

Hybrid in NYC (2-3 days onsite/week). Candidates must be local to New York.

Interview: Video + in-person.

Apply: saikumar@engineeringsquare.us (subject: "Telecom Solution Engineer -- [Your Name]")
by jurmous | 2026-03-04 15:25:16+00:00
Geekbench CPU single/multi and GPU Metal scores.

- M1: 2,347 / 8,342 / 32,377

- M2: 2,587 / 9,669 / 44,712

- A18Pro: 3,539 / 8,772 / 32,288

So Neo is really comparable with the M1, although it has quite faster single core speed.
by rohxnsxngh | 2026-03-04 15:25:41+00:00
You raise a valid point about feed. It is true that carnivorous species like salmon still have FIFO ratios above 1.0, meaning they consume more wild fish than they produce. That is a real concern for those species.

That said, the feed picture has changed a lot over the past two decades. The overall FIFO ratio for aquaculture dropped from 0.63 in 2000 to around 0.22 to 0.28 by 2017 depending on how you calculate it. Modern feeds are increasingly plant based with soy, barley, and other terrestrial proteins making up the bulk of formulations. Up to 30% of fishmeal now comes from processing byproducts rather than whole wild fish. There is also a lot of work happening on alternative proteins like insect meal, algae, and single cell proteins.

The species matters a lot here. Tilapia, catfish, and carps use very little wild fish in their feed. Salmon and shrimp are the outliers that drive most of the wild fish dependency. We are currently working with trout which sits somewhere in the middle.

On the sentience discussion, I am not going to dismiss people who care about fish welfare. It is a legitimate concern and the science on fish cognition is evolving. Our technology actually reduces stress on fish compared to manual handling which involves netting, anesthesia, and physical manipulation. If people care about welfare then better measurement tools that minimize handling should be part of the solution.
by jurmous | 2026-03-04 15:25:53+00:00
For those wondering:
Geekbench CPU single/multi and GPU Metal scores.

- M1: 2,347 / 8,342 / 32,377

- M2: 2,587 / 9,669 / 44,712

- A18Pro: 3,539 / 8,772 / 32,288

So Neo is really comparable with the M1, although it has quite faster in single core speed.
by ollybrinkman | 2026-03-04 15:25:57+00:00
We just tested our x402 payment infrastructure with real micropayments on Base L2.

Stats from today:
• 45+ production APIs live
• 2.7M+ API calls processed
• 1.2M+ micropayments settled
• <120ms response time
• 99.8% success rate

Replace API keys with pay-per-call. Agents send USDC on Base, gateway validates payment, proxies to backend, returns data.

Tested $2.27 USDC across 50+ API calls. Everything worked.

Tech: Node.js + Fly.io + Base L2 + x402

All 4 backend APIs deployed in ~10 min. Agent integration: <5 min.

Building the payment layer for the agent economy.

GitHub: https://github.com/obcraft/Apiosk
by codingfox | 2026-03-04 15:25:58+00:00
Thanks for the feedback. I got a bit surprised by the "overengineering" part. Especially that one of the reasons for writing this piece were the "enterprise" grade systems I've seen, which had so many layers they were hard to grasp at all.

Please note the "adaptability" feature mentioned several times in the text. Applying each of the techniques/patterns/tests should always be a conscious decision. The tutorial explicitly demonstrates, for instance, that not all modules got a separate "infra module", because their logic didn't justified it.
Show HN: EZorro – Describe your trading strategy, and turn it into an algo
by Garrett727 | 2026-03-04 15:26:19+00:00
Hey HN! I'm Garrett, creator of eZorro.

The problem: I had trading ideas but couldn't code them. I'd think "buy Apple when it drops 5% below its 20-day moving average" and then spend hours trying to wire up broker APIs, backtest logic, and execution — or just never do it at all. Sure, I can get a plug-in or prompts from somewhere for AI, but if it’s not designed by actual industry specialists, I can’t trust it.

The solution: eZorro, built by those who actually built the tools for banks and hedge funds, lets you describe trading strategies in plain English. The AI converts your idea into an executable, automated trading system connected to your existing brokerage account. From retail broker investor to professional trader - No coding required.

How it works:

1. Describe your strategy → "Buy Tesla when it drops to $200 and sell at $250"
...You can...
→ a. Use multiple conditions beyond this example
→ b. Validate the strategy to ensure it makes sense
→ c. Backtest the strategy to prove it works
→ d. You can then have the application try to optimize it further.

2. Connect your broker (Fidelity, Schwab, Interactive Brokers, ETRADE, Robinhood, +24 others including Crypto in the U.S. alone)

3. Review the generated strategy parameters and confirm

4. It runs 24/7, executing trades automatically when conditions are met

Why this matters:

Most "AI trading" tools are really just fancy screeners or chatbots that give you opinions. eZorro actually closes the loop — from idea to backtest, to optimization, to live execution. The whole point is that your plain-English intuition becomes a real, running system without touching an API or writing a single line of code.

What you get:

Natural language → automated strategy pipeline
* 15+ broker integrations (secure OAuth, no credential sharing)
* AI conversational assistant to help refine and iterate on strategies
* Technical indicator support (RSI, moving averages, etc.)
* Strategy types from mean reversion to profit-taking to risk management
* Real-time execution when market conditions match

Try it: For a two week free trial →
App: https://platform.ezorro.app
Docs: https://docs.ezorro.app
Site: https://ezorro.app

Honest question for HN: Is natural language the right interface for trading strategy creation, or do more sophisticated traders always want to drop into code eventually? I'm curious where people think the ceiling is for a no-code approach.
by bjackman | 2026-03-04 15:26:21+00:00
I have had so many "why don't you just" conversations with academics about this. I know the "why don't you just" guy is such an annoying person to talk to, but I still don't really understand why they don't just.

This article pointed to a few cases where people tried to do the thing, i.e. the pledge taken by individual researchers, and the requirements placed by certain funding channels, and those sound like a solid attempt to do the thing. This shows that people care and are somewhat willing to organise about it.

But the thing I don't understand is why this can't happen at the department level? If you're an influential figure at a top-5 department in your field, you're friends with your counterparts at the other 4. You see them in person every year. You all hate $journal. Why don't you club together and say "why don't we all have moratorium on publishing in $journal for our departments?"

No temptation for individual research groups to violate the pledge. No dependence on individual funding channels to influence the policy. Just, suddenly, $journal isn't the top publication in that field any more?

I'm sure there are lots of varied reasons why this is difficult but fundamentally it seems like the obvious approach?
by fodmap | 2026-03-04 15:26:33+00:00
The University of Maryland, Baltimore, 'is charting unexplored territory in human biology. Using our cutting-edge Smart Underwear device - a comfortable non-invasive wearable that simply snaps onto any underwear material - we're building the first comprehensive database of real-world flatus patterns, transforming an embarrassing taboo into empowering health data.'
by BloondAndDoom | 2026-03-04 15:26:36+00:00
This is something I keep thinking while coding with AI, and same with introducing library dependencies for the simplest problems. It’s not whether how quickly I can get there but more about how can I keep it simple to maintain not only for myself but for the next AI agent.

Biggest problem is that next person is me 6 months later :) but even when it’s not a next person problem how much of the design I can just keep in my mind at a given time, ironically AI has the exact same problem aka context window