MurphyA/hacker-news huggingface dataset:
by socketcluster | 2026-03-04 01:01:41+00:00
The key is to stay hands-on. I go for the tech lead role.

Actually at my current company I'm co-lead of a team of 10 people. I've been CTO and also the sole team lead in the past but I was always hands-on coding.

I'm glad I have a co-lead at my current company; in fact, I'm the one who recommended to the big boss that he promote both of us. Normally, I'm the sole leader but in this company, we deal with corporate clients and so there is a fair amount of compliance work, team coordination and stakeholder management and also the project itself is very complex on the tech side. AI adds a lot of complexity. My co-lead is really good with coordination, planning, meetings, stakeholder management and alignment but at the same time he has less experience on the tech side so I have the last say on technical matters like architecture and choice of technologies and I'm in charge of general-purpose modules, configurations, migrations, data management...

I think staying hands-on is very important, especially now with LLMs. Managing complexity is itself a separate concern from managing people. There is a human/psychological component to managing complexity but it's different than pure time management and coordinating work based on priorities. On a project with 10+ people, with AI, the complexity can grow rapidly and so it needs to be managed.
by imiric | 2026-03-04 01:02:50+00:00
The game currently has a Mixed (65%) rating on Steam. Granted, some negative reviews are shallow, but some mention important issues. Regardless, a Minecraft clone is not exactly groundbreaking in terms of gameplay.

This is to say that technical merits are rarely good indicators of a good game. As a gamer, I don't really care about the game engine, and even less about the language it's written in. Good programmers often obsess about these details, but it's easy to miss the forest for the trees, which is what I think happened here. Game design is a separate skill from game development, and not many people excel at both.

Still, it's great seeing this here, as the technical achievements are quite remarkable.
by palmotea | 2026-03-04 01:03:18+00:00
> I know for a fact that Democrats have lost senate races in red states because the candidate took a clear pro-life position. Your arguments are not going to work on me, considering I've lived in Texas and have seen what happens when Democrats compromise their position into oblivion. Or hell, you can look at the DINOs and see how every goddamn time they torpedo'd policy over the past decade.

The lost because of that? If so, it sounds like it was the red-state liberals being immature and choosing a no-win situation: either lose because you run a candidate that makes liberals happy but can't win the state or liberals doom a candidate who can win the state because he only offered the liberals 90% instead of 100%.

> Any Democrat that chooses to compromise over issues like abortion or trans rights or anything like that should be chased out of the running. We should adopt the exact same strategy that Tea Party republicans used to gain control over the Republican party.

Such black and white thinking. You'd rather have 0% alignment on issues than 90% or 75%? Because that's what you get when a Republican wins.

Purity is a dumb strategy when the Tea Party republicans do it, and it'd a dumb strategy when liberals do it. Tell me: how many competitive races have "Tea Party republicans" lost because they ran a nut? The answer: lots. Uncompromising purity like yours is actually an exploitable vulnerability.
by xienze | 2026-03-04 01:03:38+00:00
That doesn’t sound very reassuring. 3205 hours, or a little over a year at 8 hours a day. Be generous and call it two years of use. You’re babying it with low brightness, dynamic dimming, etc. etc. and the fact that there’s anything, even if you have to “look for it”, is not a good sign.
Show HN: DubTab – Live AI Dubbing in the Browser (Meet/YouTube/Twitch/etc.)
by DanielHu87 | 2026-03-04 01:04:04+00:00
Hi HN — I’m Ethan, a solo developer. I built DubTab because I spend a lot of time in meetings and watching videos in languages I’m not fluent in, and subtitles alone don’t always keep up (especially when the speaker is fast).

DubTab is a Chrome/Edge extension that listens to the audio of your current tab and gives you:

1.Live translated subtitles (optional bilingual mode)
2.Optional AI dubbing with a natural-sounding voice — so you can follow by listening, not just reading

The goal is simple: make it easier to understand live audio in another language in real time, without downloading files or doing an upload-and-wait workflow.

How you’d use it

1.Open a video call / livestream / lecture / any tab with audio
2.Start DubTab
3.Choose target language (and source language if you know it)
4.Use subtitles only, or turn on natural AI dubbing and adjust the audio mix (keep original, or duck it)

What it’s good for
1.Following cross-language meetings/classes when you’re tired of staring at subtitles
2.Watching live content where you can’t pause/rewind constantly
3.Language learners who want bilingual captions to sanity-check meaning
4.Keeping up with live news streams on YouTube when events are unfolding in real time (e.g., breaking international updates like U.S./Iran/Israel-related developments)

Link: https://dubtab.com

I’ll be in the comments and happy to share implementation details if anyone’s curious.
by agenthustler | 2026-03-04 01:04:58+00:00
There's real data from the other direction: AI agents verifying their own code without human oversight.

For 23 days I've been running an autonomous agent on a VPS that writes Python, deploys it to production, and checks the outcome two hours later. No human reviewer in the loop.

What emerged wasn't formal verification but something closer to evolutionary pressure. When the agent ships broken code, the next run diagnoses the failure instead of making progress. This creates a strong incentive — encoded in STATE.md notes to future iterations — to test before deploying.

The verification "system" that emerged: the agent checks endpoints, reads server logs, validates responses, and documents what broke. It's empirical rather than formal. Efficient but incomplete — it catches obvious failures, misses edge cases and silent bugs.

What the article gets right: the verification problem is hard and separate from the generation problem. Our agent generates plausible-looking code often. It detects obvious failures sometimes. It never catches subtle semantic errors.

One observation: the agent rediscovers its own architecture each run, so the state file becomes both the spec and the test oracle. "Did this work last time?" is the closest thing to verification available without a human or formal system.

Live experiment if curious: https://frog03-20494.wykr.es
by keeda | 2026-03-04 01:05:18+00:00
This strawman pops up often. The purpose of IP is to "promote" progress. The word was carefully chosen.

And luckily we have years of research, empirical and otherwise, showing the impact of IP on innovation and the arts. It's a very complex, multi-dimensional topic where outcomes vary depending on a combination of things like industry, subject matter, time frame, level of economic development of the country, strictness of enforcement, and more.

However overall the impact of IP is much more positive than HN would think, largely because the material and discourse that has gotten airtime here is something that aligns more with the "information wants to be free" crowd.
by mobasi-jobs | 2026-03-04 01:05:51+00:00
Mobasi | Founding Engineer | Austin, TX / Remote | $240k + Profit Sharing | https://mobasi.ai

Mobasi builds autonomous AI agents for digital forensics. Our software orchestrates 150+ forensic tools to help law enforcement turn days of manual evidence analysis into minutes, aiding in cases involving child exploitation, trafficking, and homicide. We are bootstrapped, profitable, and shipping fast.

We are looking for our first hire outside the three co-founders to own infrastructure, DevOps, and compliance. You will transition our build pipeline from manual updates to an automated delivery system scaling to thousands of agencies. You will manage infrastructure across AWS, GCP, Azure, and AI providers, while owning CJIS and SOC2 compliance.

Tech Stack: Rust, TypeScript, Python, Tauri, Next.js, Docker, Pulumi, Terraform.

We work as a small SWAT team. We are AI-native and expect you to use tools like Cursor and Claude to ship significantly faster. We do not have sprints or daily standups. Instead of lottery-ticket equity, we offer a high base salary and direct profit sharing.

Apply here: https://jobs.ashbyhq.com/mobasi/b385d2bb-d338-44cc-8728-f0eb...
by quickthrowman | 2026-03-04 01:05:52+00:00
> If speediots followed the rules, there wouldn't be a speed differential.

But, they don’t. So there is a speed differential. That’s reality, you aren’t going to change that unless you start executing people that speed, and that isn’t a realistic solution.

Redesigning the road so people instinctively drive slower does actually work. You take a four lane road, and change it to a two-lane road with left turn lanes, concrete medians that make the road appear narrower, concrete aprons that jut out into the road at crosswalks to make it appear even narrower, wider medians, and so on. The two major roads in my neighborhood have been redesigned this way and the results have been great, if a road is properly designed for a specific speed, you can actually get people to drive slower. It works on me, and I know the tricks.

What you’re arguing for is akin to operating industrial machinery without safeties, relying on unreliable humans to moderate their behavior, when you could prevent it by designing the road so that even speeders drive the speed limit or slightly over.

I’ve seen redesigning roads actually work, you can be dismissive and pray that people will magically follow the rules, but that won’t make it so.
by ggm | 2026-03-04 01:06:10+00:00
I'm more taken by the strength of "you can't patent AI ideas" than the IPR of artwork. I get that there are far more creatives than patenters, so I am making a somewhat unfortunate choice here, but to me thats much more significant.

The inverse proposition however may hold: AI derived proofs may PREVENT a patent because they didn't declare AI can't make prior art. I'd love to know if that does apply.
by shimman | 2026-03-04 01:06:44+00:00
Businesses likely don't know a better way because the person selling them software doesn't want them to use an open and federated technology. They want the business to use Slack, with a SalesForce CRM, and then add a JIRA workflow to top it off.

Most of the time it's simply not being aware of what's out there or just showing them a different work flow.
by maltalex | 2026-03-04 01:07:17+00:00
Maybe I'm missing something, but isn't this the same as writing code, but with extra steps?

Currently, engineers work with loose specifications, which they translate into code. With the proposed approach, they would need to first convert those specifications into a formally verifiable form before using LLMs to generate the implementation.

But to be production-ready, that spec would have to cover all possible use-cases, edge cases, error handling, performance targets, security and privacy controls, etc. That sounds awfully close to being an actual implementation, only in a different language.
by paulryanrogers | 2026-03-04 01:07:50+00:00
> Increasing travel times and inconvenience isn’t a win and safetyism is irrational.

By very narrow definitions of win. Perhaps more time in transit is worth fewer deaths and less pollution. (I rode a bike daily and year round in northern Ohio for 8y.)

> If you can’t make fast driving safer you haven’t achieved anything really.

By what measure of achievement? Zero traffic deaths in a heavily populated city is quite an accomplishment IMO. But I'm not a racecar driver so maybe I'm unqualified to judge.
by tremon | 2026-03-04 01:08:56+00:00
/e/OS and Murena are the same company. Initially, they used the name /e/ everywhere, but a single letter is not searchable on the web, so they rebranded to Murena. Everything is now called Murena except the OS itself.

from https://gael-duval.medium.com/murena-smartphones-and-cloud-w... :

> as we are reaching more and more people and progressively catching interested from a mainstream audience, we have to introduce a new, strong brand, easier to use, easier to refer to and easier to share with people.
Show HN: OpenClawHub – A Lib for AI agent workflows so you don't have to
by 951560368 | 2026-03-04 01:09:23+00:00
Hi HN,

I spent months building AI agents for clients. Same problems every time:
- Prompts work in dev, fail in prod
- Hard to maintain across 100+ users
- Reinventing workflows others already solved

So I built OpenClawHub: a curated library of production-ready AI agent workflows.

What it is:
- 20+ battle-tested agent templates (daily reports, PR reviews, SEO, etc.)
- Each template: YAML + setup steps + example output
- Community-reviewed, not a free-for-all like ClawHub
- Focus: practical automations, not skill dumps

How it's different from ClawHub:
- ClawHub = npm for skills (building blocks)
- OpenClawHub = npm for complete workflows (batteries included)

Typical workflow:
1) Browse templates
2) Copy YAML
3) Add your API keys
4) Deploy

Real examples from the repo:
- Daily work report generator (saves 2 hours/day)
- GitHub PR review bot (catches issues before merge)
- Email triage automation (priority scoring + drafting)
- SEO blog post generator (research → outline → publish)

Built for:
- Solo founders wearing 10 hats
- Dev teams drowning in manual processes
- Anyone who wants AI agents that actually work

Tech stack: OpenAI Codex, Claude Code, Trae, browser-use, etc.

Link: https://openclawhub.uk

Feedback welcome. What workflows would save you 10 hours/week?
by ggm | 2026-03-04 01:09:27+00:00
I think this paper would have benefited from evidenced of HOW to scale up rock weathering industry so it is not asocial, has less side effects.

This is like having road grit plants producing megatonnes and megatonnes of powder, to be spread widely in fields, in the landscape, at sea, on waterways.

Or, some kind of industrialised process to get atmospheric gas exchange happening into rocks, which demands energy inputs and giant factories. Or, modification of existing powerplants which may predicate their use against alternatives.

This is all second-order effect stuff but I think they could have been more explicit.

What would this actually look like, at scale, to me as a person in the landscape?
by qingcharles | 2026-03-04 01:09:28+00:00
They could also be mentally unwell. I've known people like this who the Internet massively empowers with its asymmetric abilities and its anonymity. This person might have unlimited free time to conduct their campaigns.

Ask any court clerk about the unending filings they get from disturbed individuals.

https://en.wikipedia.org/wiki/Jonathan_Lee_Riches#History

https://en.wikipedia.org/wiki/Andy_Martin
by dylan604 | 2026-03-04 01:09:41+00:00
> If I'm contacting a company for help from a human, it's because I haven't found the solution in the manual, the out of box experience, tutorial documents, FAQ pages, and so on and so forth.

You'd be amazed at how not normal that is though. The number of people willing to throw up their hands to ask for help rather than researching anything is pretty damn high.
by bonoboTP | 2026-03-04 01:10:16+00:00
I don't think any of this indicates a fundamental property of the tech itself. AI companies post-train their models to sound like what people like to read better. There's a reason that engagement farmers have converged on the tone that these LLMs imitate, namely its something that people prefer. Maybe not you, but it's the same thing that gives us YouTube face on thumbnails etc.

It takes some prompting to nudge the model out of that default voice because post training reinforced it. They will likely shift it once these AI-isms are known and recognized widely. I'd assume the nextgem models under training now will get negative feedback from the human evaluators for talking too AI-like and then there will be new AI smells to calibrate to.
by lukevp | 2026-03-04 01:10:24+00:00
At my company it’s lateral.

Lead -> EM

Sr. Lead -> Sr. EM

Principal -> Director

Sr. Principal -> Sr. Director

The pay is aligned with the level whether or not you’re a people leader. To your point though, it may be difficult to go from Principal to Director. I see the lateral moves happen more at the Lead/Sr. Lead levels. They might do a Principal to a Sr. Manager as a trial period with the expectation that you’d be Director after a short time if you perform well. I’ve definitely seen directors become principals as well, so it goes both ways.
by Retric | 2026-03-04 01:10:35+00:00
Generalist means something very different for big orgs.

At FANG size companies have people to setup 401k and health insurance, tiny startups need 1 of 3 people to figure that out even if it just means finding a company to outsource such things it still needs to happen. Payroll doesn’t need to be a complex system but taxes must be paid etc.
by andrew_lettuce | 2026-03-04 01:10:46+00:00
The thing is a YOU don't get to decide this. Maybe the PW reset flow is significantly more complex for some people who don't have an actual human walk them though it; maybe Xfinity routers shouldn't need to be power cycled to fix problems. Maybe corporations should make their products better to avoid do many support calls or price that into the purchase price. At least let's be honest that the entire exercise is an attempt to externalize costs on their customers.
by RIMR | 2026-03-04 01:11:32+00:00
This is an oversimplification.

When people talk about wanting "free support", they mean that they want support included with the price of the product (no extra charges), but you're still going to get what you paid for, and expecting too much might not get you what you want.

If you pay $20/month for a software subscription for your small business, you're going to get a different kind of support than the enterprise customer paying $100k/month. The small business customer will get support via email with multi-day SLAs, and the enterprise customer will get priority support via screen-share with same-day SLAs.

And there are free-tier services that offer limited support, where users that don't pay anything expect to be treated like they're full-fledged customers.

There a limited scenario here, where a paying customer has so many problems with the product that the cost of support exceeds the revenue the customer provides, and when one can confidently say that this is not the result of an overly-needy customer, you spend the money figuring out the problem and making sure that the solution is available to help any customer that follows. The cost of support my exceed revenue for one customer, but once the solution is in the knowledge base, you don't have to repeat those costs again for the next customer.

But there are also small customers who fumble the product and put too much strain on support until a decision is made not to prioritize them over other customers. I have seen small customers with unreasonable expectations get "fired" simply because their revenue wasn't worth it.

If a company routinely sees support costs exceed revenue, that's usually the company's fault for having a faulty and/or hard-to-support product. If a single customer's support costs exceed the revenue they provide, that's usually the customer's fault for leaning too heavily on support to be their personal I.T. provider.
by zdragnar | 2026-03-04 01:11:41+00:00
That beefy GPU is the killer for battery life. There's quite a few PC laptops floating about that get in the 10-16 hour range battery life on lighter workloads (text editors, fast compilers, streaming video, browsing internet). I'm typing this on one right now. I wish it was running linux, but I need windows for work up until we get the last of our antiquated .net platform on core.

Sure, it's got integrated graphics so it won't win any gaming awards, but that's what the laptop with the beefy GPU sitting in the corner is for :) That thing pumps out enough heat to not be too pleasant sitting on a lap anyway.
by guerython | 2026-03-04 01:12:45+00:00
Instant is the low-latency analysis stage for us. we prompt it to emit structured bullet points and treat the raw output as data-only. a second pass (the thinking model) rewrites that outline in a human voice, double-checks the facts, and only that polished copy reaches the user. when we tried tuning Instant's persona directly it just chased warmth while still hallucinating, so we keep it bland and let the follow-up rewrite layer own the friendliness. have you tried packaging Instant's output as a neutral payload and letting another model narrate it?
by xvxvx | 2026-03-04 01:12:51+00:00
Somehow mankind survived without worrying about protein for millennia. This new obsession is utter nonsense, and likely making people sick as animal protein is linked to cancer and other diseases. The obsession with bodybuilders, some of the unhealthiest people you’ll ever meet, drove this. They didn’t get ripped from protein. It was steroid abuse.

I eat less than half the ‘recommended’ amount of protein each day and manage to stay strong and fit. Vitamins and supplements are garbage too. Just eat fruit, veg and legumes.
by SaaSasaurus | 2026-03-04 01:12:52+00:00
You must have purchased a Mac Mini and were offended by my post.

Anyway, your comment made for a good follow up article: https://x.com/SiliconSnark/status/2029000449483845707?s=20

But seriously, why do people hate on AI writing but LOVE AI coding? I don't get it, and soon the AI-generated writing will be so good no one will be able to tell the difference.
by datsci_est_2015 | 2026-03-04 01:12:59+00:00
> This is not the way to convince people.

Idk, agree to disagree in this case. Sometimes people do need to hear the stark words of those they disagree with to reconsider their weakly, or even deeply, held positions. Especially in this forum, where so many people of what I would figure is “higher intelligence” continue to turn a blind eye to the clearly unethical actions of their employers because $$$. Some of them even convince themselves that what they’re doing is somehow not unethical!
by jltsiren | 2026-03-04 01:13:51+00:00
There are drones, and then there are drones.

That particular attack against Russian bombers was done by undercover saboteurs working deep inside enemy territory. The drones being discussed here are essentially cheap cruise missiles. For example, you have a ~200 kg drone carrying a ~50 kg warhead that is launched using a rocket booster and capable of flying 1000+ km. In Ukraine and Russia, 80-90% of such drones are routinely intercepted by cost-effective air defenses.