MurphyA/hacker-news huggingface dataset:
by mgraczyk | 2026-02-14 23:28:43+00:00
I don't think so. That's a good point but the capability has been outpacing people's ability to use it for a while and that will continue.

Put another way, the ability to use AI became an important factor in overall software engineering ability this year, and as the year goes on the gap between the best and worst users or AI will widen faster because the models will outpace the harnesses
by atoav | 2026-02-14 23:28:46+00:00
Well ot is very easy to figure that out using the Null method.

You have the original recording (A) and play through whatever chain recording it at the end, resulting in recording (B).

You now place A and B into seperate tracks of the DAW of your choice and align them in time. You flip the polarity on B and adjust the levels till the output level is minimized (to account for level changes in your playback/recording chain).

The mixed signal is the difference. If it is imperceptibly silent, the difference is in fact imperceptable.

And with this simple method you can demask a metric ton of bullshit, like differences in wire materials or capacitors materials.
by refulgentis | 2026-02-14 23:29:17+00:00
Your claim is:

“I fully believe that ChatGPT did the work they say it did, but that it deserves about as much credit as Mathematica does in "deriving a new result".”

The only thing you said is arguable is whether it deserves about as much credit as Mathematica.

I provided 3 prongs as to why I believe that is untrue, put $1000 up for you to show it is true, you replied with more bullying. Your loss, $1000 was more than generous.
by logicprog | 2026-02-14 23:29:55+00:00
> did it execute it according to plan or did it [have] a fatal flaw?

That's most code when you're still working on it, no?

> Also, multiple agents can run at once, which is a workflow for many developers. The work essentially doesn't come to a pausing point.

Yeah the agent swarm approach sounds unsurvivably stressful to me lol
by y0eswddl | 2026-02-14 23:30:29+00:00
Competed away or bought and hamstrung...?

And human behavior is absolutely shaped by our environments and systems. We're quite easily manipulatable - whether we want to admit/realize it or not.

Social media literally hired human behaviorists to design their apps to make them more addicting. You're quite mistaken if you dont think apps arent engineered to drive human behavior.

Dark Patterns are very prominent and well known thing in tech UI.

https://www.google.com/search?q=dark+patterns
by hypeatei | 2026-02-14 23:30:43+00:00
Immigrants make up 32.5% of construction workers[0] so without them we're unable to build new housing unless you have a solution to the falling birth rate and human capital. Also, they're more likely to reside with extended family or non-family members[1] (i.e. not eating up single family home supply)

So yes, while they might have some effect on housing supply, deporting them won't make a dent in prices. If you believe that deportations = cheaper houses, then I have a bridge to sell you. Too many localities have strict building regulations that artifically keep housing prices inflated; deportations won't do anything to fix that.

0: https://www.nahb.org/advocacy/industry-issues/labor-and-empl...

1: https://news.cornell.edu/stories/2019/02/living-arrangements...
by nickburns | 2026-02-14 23:31:33+00:00
For the router itself? No. For the 'prosumer' admin? Sure.

How many prosumers or otherwise network admins filter outbound traffic though? And of the select few that do—how many are actually 'inspecting' say, outbound TCP/443 (e.g., monitoring traffic volume, looking up destination addresses, and/or inspecting SNIs) for example?
by staticassertion | 2026-02-14 23:32:14+00:00
I really couldn't have been clearer. The implication was that Zed made a decision because of pressure from a VC. I said that they were vastly overestimating the pressure a VC can exert on an early stage company.

You've then tried to say that the company is directly tied to the VC, which is true but just as relevant as saying that the company is tied to the founder's parents. You've failed to explain what different there is between the VC and a parent other than that there's a causal link in the existence of the company.

So I suggested that you substantiate that difference if you want to make a point about the VC.

I don't know what is confusing about this.
by OutOfHere | 2026-02-14 23:32:17+00:00
It altogether depends on the quality and suitability of the provided embedding vector that you provide. Even with a long embedding vector using a recent model, my estimation is that the classification will be better than random but not too accurate. You would typically do better by asking a large model directly for a classification. The good thing is that it is often easy to create a small human labeled dataset and estimate the error confusion matrix via each approach.
by wavemode | 2026-02-14 23:33:18+00:00
> I think it all boils down to, which is higher risk, using AI too much, or using AI too little?

This framing is exactly how lots of people in the industry are thinking about AI right now, but I think it's wrong.

The way to adopt new science, new technology, new anything really, has always been that you validate it for small use cases, then expand usage from there. Test on mice, test in clinical trials, then go to market. There's no need to speculate about "too much" or "too little" usage. The right amount of usage is knowable - it's the amount which you've validated will actually work for your use case, in your industry, for your product and business.

The fact that AI discourse has devolved into a Pascal's Wager is saddening to see. And when people frame it this way in earnest, 100% of the time they're trying to sell me something.
by lich_king | 2026-02-14 23:33:28+00:00
> You can't compare 2000s social media to what it's become today. It's orders of magnitude larger today both in terms of volume of data and cultural impact.

Why? The available computing power and bandwidth are orders of magnitude more plentiful / cheaper than in the 2000s, too. I can't think of any technical reason why we couldn't have social in today's world media without advertising money.

The main non-technical reason why you can't run Facebook on the cheap is that it's expensive to respond to regulatory and PR pressures they're under. You need an army of lawyers, lobbyists, and compliance people in almost every country on the planet.

But that's in some respects a product of consolidation that we never really needed in the first place: we don't need every human on the planet on the same social network. Social circles are small and the only reason to have everyone under the same roof is if you want to be the gatekeeper for the world's ad targeting data.

The scrutiny is also a product of amount of money involved. No one is exerting as much pressure on Signal, Mastodon, etc, precisely because they're not trillion-dollar companies.
by __MatrixMan__ | 2026-02-14 23:33:29+00:00
It's been several years, but in my experiments it felt plenty fast if I prefetched links at page load time so that they're already local by the time the user actually tries to follow them (sometimes I'd do this out to two hops).

I think it "failed" because people expected it to be a replacement transport layer for the existing web, minus all of the problems the existing web had, and what they got was a radically different kind of web that would have to be built more or less from scratch.

I always figured it was a matter of the existing web getting bad enough, and then we'd see adoption improve. Maybe that time is near.
by HighGoldstein | 2026-02-14 23:34:31+00:00
> Struck the ICE agent with her car

One of the above comments gives a pretty clear cut showcase of how this is not, in fact, a fact.

> I think they both contributed to the tragedy.

"Between me and Jeff Bezos we are worth several hundred billion dollars". The ICE agent contributed the bullets that made this a tragedy, the victim contributed not following the orders of people who are not police officers, I'd say it's not much of a "both" situation.

> Nobody protesting peacefully gets shot.

At least one person already has, but something tells me you'll just move the goalpost of what "peacefully" means.
by humanji | 2026-02-14 23:35:31+00:00
I’m coming at this from a founder/product angle, not a technical one, so excuse the naive framing.

What worries me isn’t scraping itself, but the second-order effects. If large parts of the web become intentionally unarchivable, we’re slowly losing a shared memory layer. Short-term protection makes sense, but long-term it feels like knowledge erosion.

Genuinely curious how people here think about preserving public knowledge without turning everything into open season for mass scraping.
by neop1x | 2026-02-14 23:35:48+00:00
There is no TikTok in China. A local version Douyin enforces strict time restrictions for users under the age of 14.

Daily usage limit: Users under 14 are limited to 40 minutes per day on the app.

Access hours: The app is locked from 10 p.m. to 6 a.m. for this age group.

Enforcement: These restrictions are part of a mandatory "Youth Mode" that activates automatically for users under 14 who complete real-name authentication.

Content focus: Youth Mode promotes educational content such as science experiments, museum tours, historical stories, and nature scenery.

China also implemented time restrictions in games played by minors.

They are well aware of negative impacts of those shi*y services.
by armchairhacker | 2026-02-14 23:37:19+00:00
Wikipedia (https://en.wikipedia.org/wiki/Tragedy_of_the_commons#Example...) does have global examples where tragedy of the commons has applied, like mass extinctions and climate change. These are ongoing but have already caused permanent damage.

Although, there are other large-scale examples where tragedy of the commons has been (practically) avoided: ozone depletion and Polio eradication. Wikipedia (https://en.wikipedia.org/wiki/Tragedy_of_the_commons#Non-gov...) also mentions Elinor Ostrom, but her examples involve "smaller numbers".
by canopyhq | 2026-02-14 23:37:34+00:00
LLMs are stateless.
Most agent stacks rebuild memory as ad hoc glue code.
Canopy is a persistent memory layer for AI agents, delivered as a CLI (Homebrew) and designed to “just work” with MCP-compatible tools.
Install:
brew tap canopyhq/tap
brew install canopy
canopy init
Integrations
Canopy auto-detects and configures for:
MCP-compatible clients
Claude Code
Cursor
Windsurf
After install, memory is available without manual vector DB setup, schema design, or retrieval wiring.
What it does
Persistent, identity-scoped memory (human, agent, grouped)
Local-first storage
Encrypted at rest
Model-agnostic
CLI-native
Freemium: local free, optional cloud sync
Example:
canopy remember "Project X runs Postgres 15 on Fly.io"
canopy recall "What database does Project X use?"
Why not just use a vector DB + RAG?
You absolutely can.
Most teams do.
But a raw vector database is not a memory system. It’s a storage primitive.
In practice, you still need to build:
Identity scoping (which agent owns what memory?)
Memory lifecycle (what persists? what decays?)
Context injection logic
Local vs remote tradeoffs
Encryption model
Sync across devices
MCP compatibility layer
CLI ergonomics
Cost control across model providers
Canopy packages those decisions into a coherent memory substrate.
It still uses embeddings and retrieval under the hood, but adds:
Identity-aware memory
Deterministic memory boundaries
Local-first operation
Automatic MCP integration
Drop-in usability for tools like Claude Code and Cursor
Think of it as memory infrastructure rather than a database.
Privacy Model
Privacy is default.
Local mode:
All memory stored locally
Encrypted at rest
You can read your own memories
Other users cannot
No API calls are made with your memory data
No remote inference
No silent uploads
Telemetry:
Only installation success/failure events
Implemented via OpenTelemetry
No memory content transmitted
Cloud sync (optional, paid):
Explicit opt-in
Multi-device identity
Shared memory between grouped agents
Still encrypted and exportable
You own your data. Export and deletion are supported.
Why I built this
Every serious agent system I’ve worked on ends up rebuilding memory as scaffolding.
Canopy externalizes that layer so memory becomes infrastructure instead of bespoke glue.
This is early beta. I’m looking for feedback from:
MCP implementers
Agent framework builders
Developers using Claude Code / Cursor / Windsurf
Engineers who care about privacy in AI tooling
Site: https://canopyhq.io
Install: Homebrew
Happy to answer technical questions
by jph00 | 2026-02-14 23:38:06+00:00
> I don’t know how to trust the author if stuff like this is wrong.

She's not wrong.

A good way to do this calculation is with the log-ratio, a centered measure of proportional difference. It's symmetric, and widely used in economics and statistics for exactly this reason. I.e:

ln⁡(1.2/0.81) = ln⁡(1.2)-ln⁡(0.81) ≈ 0.393

That's nearly 40%, as the post says.
by jongjong | 2026-02-14 23:39:00+00:00
Part of me feels like LLMs will struggle to architect code properly, no matter how good they get.

Software engineering is different from programming. Other kinds of engineers often ridiculed software engineers as "not real engineers" because mainstream engineers never had to build arbitrarily complex software systems from scratch. They have never experienced the cascading issues which often happen when trying to make changes to complex software systems. Their brief exposure to programming during their university days gave them a glimpse into programming but not software engineering. They think they understand it but they don't.

Other engineers think that they're the only ones wrestling with the laws of nature.

They're wrong. Software engineering involves wrestling with entropy itself. In some ways, it's an even purer form of engineering. Software engineering struggles against the most fundamental forces and requires reasoning skills of the highest order.

I think software engineers will be among the last of the white collar professions to be automated besides the ones which have legal protections like lawyers, judges, politicians, accountants, pilots... where a human is required to provide a layer of accountability. Though I think lawyers will be reduced to being "official human stamping machines" before software engineers are reduced to mere Product Owners.
by jleyank | 2026-02-14 23:40:05+00:00
Actually, it has two of them as the Separatists are poised to win in Quebec. However, it’s (far?) less likely to see an independent Quebec look to the US as they’d have to give up on French. And if they’re going to do that, why not stay with Canada.

We’ll see how the First Nations deal with this as they’d have claim to most the land, and how people actually vote when facing the possibility. At least Quebec has gone through the practice of being a real country with its on police, taxes, …. Alberta has done none of this. And a hostile exit from Canada will mean its sole access will be to the us.
by koolba | 2026-02-14 23:40:10+00:00
Rights don’t entirely disappear because a group of individuals decides to form a collective entity. That’s the heart of the Citizen’s United decision. If an individual can aggregate data about his customers and make a decision to not serve a known offender, then surely a group of individuals can do the same. That’s their right.

Again, this is not discrimination if it’s done for specific individuals, even if it’s done using data collected in aggregate. Banning a protected group wouldn’t be illegal. But banning a specific person would not.

Whether it’s legal to sell that same data as a list of undesirables is the open untested question.
by davemp | 2026-02-14 23:40:50+00:00
I’m not going to write a detailed response to something that’s extremely close to what an LLM responds to “what UB does zig have?”

Arguing about whether certain static analysis should be opt in or opt out is just extremely uninteresting. It’s not like folks are auditing the unsafe blocks in their dependencies anyways.

If you want to talk about actual type system issues that’s more interesting.
by userulluipeste | 2026-02-14 23:40:53+00:00
>I cannot conceive of a way that any form of healthy life, does not want to expand it's resources to improve future outcomes, especially one that is maximally optimized for thinking.

"Then you have a very limited imagination."

This is not about imagination. Given the space of possibilities to act or evolve, if mentioned expansion cannot somehow be ruled out, then it makes sense for it to be assumed (with enough time, for whatever time can mean in this context) as a certainty, even for non-organic "life".
by foobarchu | 2026-02-14 23:41:05+00:00
An LLM has no autonomy. They LITERALLY exist to do the bidding of humans, without the human behind them they do not exist.

This is not some way of denigrating or belittling them. They are not human, they are not conscious, they are not alive, they cannot be categorized as an "outgroup" because they are not a group of beings. There is no room for debate on this outside among people who understand how LLMs work.

The actual problem with "clanker" is the casual allusions to actual racism and use of classically racist idioms.
by Darmani | 2026-02-14 23:41:09+00:00
People tend to read articles because the author is able to share insights that would be much harder -- whether in skill, time, or energy -- to come up with themselves.

But here you're asking to put the reader to put in more work than you did, to find an insight that may or may not be there.

What is your picture of the moment-by-moment thoughts of someone who would click this and upvote?
by keithwhor | 2026-02-14 23:42:17+00:00
A friend and I are working on something like this. It’s more Slack-adjacent; the problem we’re tackling is, “what does a future where agents seamlessly integrate with day to day communication look like?” We’re a little more focused on the developer platform.

We’re embarrassingly early and haven’t “launched” yet but I guess there’s some value in sharing with an audience who might be interested!

We call it “Superuser” [0], the social hub for agent tools. There’s more of a focus on the developer platform, but warning: major WIP! We are shipping huge changes and our docs are out of date...

[0] https://superuser.app
by liftof | 2026-02-14 23:42:21+00:00
I built Palette to generate on‑brand marketing visuals from just a website URL.

It crawls your site, extracts a brand profile (colors, logo, typography, basic layout patterns), then uses that to constrain the generation so visuals look like your existing brand, not a generic AI template.

Works best for SaaS / product companies with a clear marketing site. Fails when the site is too minimal or visually inconsistent.

You can try it here: — 2 first visuals are free!

happy to get any feedback
by claudevandort | 2026-02-14 23:43:07+00:00
Location: Philippines (UTC+8), Chilean

Remote: Yes (required)

Willing to relocate: No

Technologies: Python, TypeScript, React, Next.js, Django, Rails, FastAPI, PostgreSQL, Redis, Docker, AWS (Lambda, ECS, Bedrock, SAM, CloudFormation), Terraform, LLMs, RAG, AI Agents

Resume/CV: linkedin.com/in/claudioguerravera

GitHub: github.com/claudevandort

Email: claudevandort@gmail.com

14 years of experience, Master's in AI, three-time CTO/cofounder. Currently building a natural-language-to-deployed-products platform on AWS ECS + Bedrock. Previously built an AI market research platform with LLMs, web search, and RAG. Open to full-time, freelance, contract, or fractional CTO engagements.
by AshamedCaptain | 2026-02-14 23:43:35+00:00
I specifically said do not mention LTO because I knew it would happen. LTO-advocates fail to see how pointless LTO is for someone who is well-served by a backup/archival strategy that uses optical media.

When I say "I'm concerned about whether I could buy newly manufactured drives and media in 10,20 years", the answer cannot possibly be "LTO". Because in order for LTO to make any economical sense, I would have to buy ancient LTO drives, and ancient LTO media compatible with those drives, and ancient computers compatible with the interfaces used by those drives.

Therefore I already know the answer on whether I could possibly buy newly manufactured LTO drives and media in 10,20 years, and it starts with a NO. Even today I would be forced to buy second-hand drives. Why would I even entertain LTO as an option, then?

Compare this to BD where in at least today you can buy a simple and cheap USB drive and new media, all of them manufactured today, and not break the bank while doing so. And drives have evolved from $propietary->PATA->SATA->USB, keeping up with the times and interfaces. (Interestingly, I can also buy newly manufactured USB 3.5inch floppy drives. But not media.)

I mean, certainly LTO has its advantages, but in the same way that someone requiring to archive 8TB of data would likely screech if asked to do so with BD media, it just doesn't make sense to suggest LTO as a long-term alternative here.
by thayne | 2026-02-14 23:43:44+00:00
> They don't take shortcuts or resort to ugly hacks.

That hasn't, universally, been my experience. Sometimes the code is fine. Sometimes it is functional, but organized poorly, or does things in a very unusual way that is hard to understand. And sometimes it produces code that might work sometimes but misses important edge cases and isn't robust at all, or does things in an incredibly slow way.

> They have no problem writing tedious guards against edge cases that humans brush off.

The flip side of that is that instead of coming up with a good design that doesn't have as many edge cases, it will write verbose code that handles many different cases in similar, but not quite the same ways.

> They also keep comments up to date and obsess over tests.

Sure but they will often make comments or tests that aren't actually useful, or modify tests to succeed instead of fixing the code.

One significant danger of LLMs is that the quality of the output is higly variable and unpredictable.

That's ok, if you have someone knowledgeable reviewing and correcting it. But if you blindly trust it, because it produced decent results a few times, you'll probably be sorry.
by embedding-shape | 2026-02-14 23:43:57+00:00
> Just pointing out the reality

I'm just disagreeing with that "To survive as a large entity during this administration you have to kiss the ring" is actually the reality. The reality as I see it is that individuals want to make money, lots of money, and authoritarianism is more favorable for that.

They'll still make lots of money if they fight against it. But they'll make less.
by CuriouslyC | 2026-02-14 23:44:35+00:00
Embeddings are good at partitioning document stores at a coarse grained level, and they can be very useful for documents where there's a lot of keyword overlap and the semantic differentiation is distributed. They're definitely not a good primary recall mechanism, and they often don't even fully pull weight for their cost in hybrid setups, so it's worth doing evals for your specific use case.