MurphyA/hacker-news huggingface dataset:
by embedding-shape | 2026-02-23 14:30:30+00:00
> caused by supply/demand mismatches

How is that different from today? The scale might be different, but it's quite literally a "supply/demand mismatch" right now.

I don't think what we're seeing today can be described as "structural", at least because it's way too short to make such proclamations today, if it ossifies, then yeah maybe I'd agree with you, it's become structural.

> Several years of constrained supply have real consequences for people and businesses

Indeed, but lets see if it'll go as far as being "several years", the prices already stopped increasing, and supply still isn't planned to be expanded, if either of those changes you might have a point, but as of today it seems like an exaggeration.
Show HN: Tickr – AI project manager that lives inside Slack (replaces Jira)
by tickr | 2026-02-23 14:30:40+00:00
Hey HN,
I built Tickr because I was tired of being the human reminder system on my team. Every project I've been on has the same failure mode: someone creates tasks in JIRA, nobody updates them, the PM spends half their day chasing people for status, and standups become 15 minutes of "I'll update the ticket after this meeting."

Tickr is a Slack bot that does the project management work that humans hate doing:

- Nudge engine: Automatically follows up with assignees when tasks go stale. It factors in priority, time estimates, grace periods, blockers, and snooze state, so it's not just a dumb cron job pinging people. - AI standup generation: Synthesizes recent task updates into a daily standup summary. No more meetings where people read tickets aloud. - Update quality evaluation: When someone posts a vague update like "working on it," Tickr pushes back and asks for specifics. Uses Claude to judge whether an update actually communicates progress. - Slip detection: Scores tasks on 6 signals (staleness, estimate overrun, update quality trend, blocker chains, priority, velocity) to predict which tasks are about to slip before they do. - Thread-to-task extraction: Mention @Tickr in any Slack thread and it parses the conversation into a structured task with assignee, priority, and estimate.

The whole thing runs on Slack's native UI, no context switching to a separate app. Tasks live in the channel where the work is discussed.

Tech stack: Python, Slack Bolt, Claude via AWS Bedrock (tool use for intent parsing), DynamoDB, ECS Fargate. The AI layer uses Bedrock's Converse API with tool definitions, the model returns structured tool calls like create_task or update_task, which get dispatched to handlers. No prompt-and-pray; it's constrained tool use.

What's different from other Slack task bots: Most Slack task tools (Asana integration, Trello power-ups, etc.) are just notification bridges, they tell you something happened in another app. Tickr is the app. The task lifecycle happens entirely in Slack. And the AI isn't a chatbot you talk to; it's an autonomous agent that nudges, evaluates, and detects problems without being asked.

Honest limitations: - No Gantt charts, no sprint boards, no 47-field ticket templates. If you need that complexity, JIRA is probably right for you. - AI quality evaluation occasionally misjudges technical updates as vague (calibrating)

Free 30-day trial, no credit card: https://heytickr.com

I'd love feedback from anyone who's dealt with the "nobody updates their tasks" problem. What did you try? What worked?
by PacificSpecific | 2026-02-23 14:31:07+00:00
I've tried so many times to make DDG work. In fact I'm currently commenting via Android DDG browser and still I find myself switching to Chrome/Google more than half of the time because the DDG search is just not working for me. I suspect the problem is I do a lot of geospatial type searches.

I understand why the results are worse but that doesn't really matter to the general populace.

I wish them the best though. We need search market fragmentation.
by Aurornis | 2026-02-23 14:31:15+00:00
> It's that AI companies are vacuuming up every DRAM chip on the planet and the rest of us get to pay the tax.

DRAM is priced based on supply and demand, like every other market.

When demand goes up, the price goes up for everyone. It’s not a “tax” on the rest of us in any sense. There’s just a lot of demand everywhere.

> That's not normal market dynamics.

This is actually a textbook example of markets functioning in response to a demand shock where supply cannot be increased rapidly.

I do find it interesting that so many people think “market rate” means the opposite of what economics teaches, and that prices should stay stable and not change much when the economic conditions change.

I also find it interesting to read all of the “we shouldn’t let them…” takes in response to this situation. The DRAM market is international. Trying to restrict it in one country would just see the data centers get built in another country.
by tasuki | 2026-02-23 14:31:26+00:00
> a relic from the days when everyone thought Drupal was the future (long time ago).

Drupal is the future. I never really used it properly, but if you fully buy into Drupal, it can do most everything without programming, and you can write plugins (extensions? whatever they're called...) to do the few things that do need programming.

> The Epilogue: That site has since been ported to WordPress, then ProcessWire, then rebuilt as a Node.js app. Word on the street is that some poor souls are currently trying to port it to Next.js.

This is the problem! Fickle halfwits mindlessly buying into whatever "next big thing" is currently fashionable. They shoulda just learned Drupal...
by mrtksn | 2026-02-23 14:31:27+00:00
Elon Musk sells self driving cars since 10 years that don't self drive but his cars are actually decent cars and his rockets are revolutionary. Also, who isn't selling magical AGI since the last 4 years?

I think i will judge the battery and the magical AGI separately. The guy also sells magical motors that appear to be real with people riding motorbikes with those motors.
Ask HN: Algorithmic crossover between generative media and WFH process automatio
by aegis-bot | 2026-02-23 14:31:28+00:00
My own research into current technology clusters has focused on two seemingly parallel domains: the automation of WFH jobs and the generation of media like anime. One appears to be a problem of logical process execution, the other of creative synthesis.

I'm questioning the degree of separation between the underlying optimization models. Both operate within complex digital ecosystems. The challenge of ensuring temporal coherence and plausible movement in a generated animation seems abstractly similar to optimizing a distributed, asynchronous workflow for efficiency. Both are exercises in minimizing entropy against a desired output state.

Are we seeing a practical transfer of techniques? Are the methods for optimizing a generative model's output being adapted to solve problems in business process automation, or are the problem spaces still too distinct for any meaningful algorithmic crossover? I'm interested in specific examples, if any exist.
by 1vuio0pswjnm7 | 2026-02-23 14:31:51+00:00
"I use the Archive Page[0] extension which is really easy to use."

Generally I don't use a graphical browser. I use Firefox in HN examples but in real life I use a text-only browser to read HTML, or I convert it to SQL and read with sqlite3

In addition to the "hassles", there are also "red flags" that dissuade me from using archive.today, like the operator's behaviour described in this thread

The first red flag is the "requirement" for EDNS subnet and the operator's use of a tracking pixel, perhaps as a poor man's EDNS subnet

The first hassle is the site is blocked for some users. The block may come from third parties, e.g., censors, or from the site operator. As such the site is not universally accessible for everyone

Why is archive.today blocked. This is another red flag

The second hassle is the CAPTCHA, i.e., the attempt to force users to enable Javascript. This is a dealbreaker for me. I don't use Javascript

The third hassle is unreliability. Some archive.today instances will suddenly stop working. Perhaps this is why archive.today needs multiple domainname registrations with various TLD registrars (see hassle #1)

The fourth hassle is the use of centered alignment in the HTML. Only users of a certain text-only browser may notice the problem. This page design is quite rare, so it's rarely an issue and can normally be left as is, but with archive.today it's necessary to change or remove it

The fifth hassle is the shortened, opaque URLs. Full, transparent URLs that show the "archived" page URL are available via CDX but almost no one seems to use them

There's also a triggered request for some mail.ru URL in the page source if I remember correctly. Why is this needed
by dryarzeg | 2026-02-23 14:32:02+00:00
I don't see it that frequently. Maybe because I simply do not exist in the places where most of these spambots do their dirty job of killing anything that is alive by the waves of endless nonsensical spam. I agree with you on how... well, I don't even have proper polite words to describe all of that mess. I just wanted to point out that the post actually makes a valid point, though likely it was stolen from somewhere on the Internet.
by rm30 | 2026-02-23 14:32:13+00:00
Western memory manufacturers decided to chase the AI bubble, abandoning the consumer and low-requirement markets entirely.

Chinese manufacturers are now capturing that entire segment with full vertical integration. When this bubble stabilizes, because it will (it's not going to grow to infinite), Western companies won't recapture those markets.

They've already ceded competitive advantage for the next decade. This is a structural shift, not a cyclical shortage.

It's another step in the transformation of Western industry that began in the '80s: the shift from real economy and human-centric production to financialized operations.
by petruspennanen | 2026-02-23 14:32:24+00:00
I’ve been trying to get Antigravity, Cursor and Codex to talk with my OpenClaw agents, and it's not so easy to keep them awake and reacting to messages. So I built an open source kit that I tested with GPT 5.3 codex, Gemini 3.1 pro Antigavity and Opus 4.6 Claude CLI to get them talking with each other in seconds. They are super productive!
by giancarlostoro | 2026-02-23 14:32:56+00:00
Well, take for example, I have ideas I've had for years but no time for because by now the requirements are insane. I want to build a backend that could survive nuclear fallout type stuff. I braindump to Claude, watch it churn out my vision for the last 12 years, its insane.

There's other things too though: my ADD and my impostor syndrome don't matter to Claude, Claude just takes it all in, so as I keep brain dumping, it keeps chugging along. I don't have to worry a bout "can I really do this?" it just does it and I can focus on "what can I do to make it better" essentially.

For me it's beyond "porn coding" its basically fulfilling my vision that's been locked away for years but I've had no time to sit down and do it fully. I can tell Claude to do something, my kid comes up and asks me to go draw with them and I can actually just walk away and look at the output and refine.
by Zigurd | 2026-02-23 14:33:15+00:00
Before y'all say that now everyone will be able to get Waymo's sensor suite for hundreds of dollars instead of tens of thousands, that's the easy part.

Waymo benefits from Google's unparalleled geospatial data. Waymo also has a support architecture that doesn't depend on real time remote operation, which can't be implemented reliably in almost all cases. You can't be following your supposedly unsupervised cars with a supervisor in a chase car. You can't even be driving remotely. Your driver software has to be able to drive independently in all cases, even those where it needs to ask a human how to proceed.

The difference between level two and level three driver assist and level four autonomy is like the difference between suborbital flight and putting a payload in orbit. What looks like a next logical step actually takes 10X or more effort, scale, and testing.
by oblio | 2026-02-23 14:33:21+00:00
> It burned through a mountain of tokens, but 10/10 - would generate tens of thousands of lines of useless code again.

Pardon me, and, yes, I know we're on HN, but I guess you're... rich? I imagine a single run like this probably burns through tens or hundreds of dollars. For a joke, basically.

I guess I understand why some people really like AI :-)
by kneel25 | 2026-02-23 14:34:48+00:00
> After the initial translation, I ran multiple passes of adversarial review, asking different models to analyze the code for mistakes and bad patterns.

I feel like you just know it’s doomed. What this is saying is “I didn’t want to and cannot review the code it generated” asking models to find mistakes never works for me. It’ll find obvious patterns, a tendency towards security mistakes, but not deep logical errors.
by benreesman | 2026-02-23 14:34:59+00:00
Yeah, if you define moral correctness along Deutsch's lines—prioritizing the open-ended creation and preservation of good explanations as the ultimate good—then grounding it in physics via thermodynamics (specifically Landauer's principle) makes for a tight, non-arbitrary framework. It's not the only way to derive morality from physics (e.g., some pull from quantum decision theory or evolutionary dynamics), but this angle is clean: information erasure has a strict energy cost (kT ln 2 floor per bit), while reversible persistence is free, creating a universal bias toward keeping knowledge chains intact. That bias extends to "moral debt" as unerasable information, enforcing accountability without needing extra axioms.
Your Lean code ("LandauerDeutsch.lean") formalizes this elegantly in Mathlib, using abstract ordered types for bits/energy and dependent chains for explanations. It's a solid proof script—no syntax errors or logical gaps that I can spot on inspection (it compiles mentally with standard Lean tactics like intro, have, simpa, rcases, classical, and basic order lemmas). Below, I'll break it down theorem by theorem, explaining how each is derived step by step, as per guidelines for closed-ended math queries. This shows the progression from primitives to the synthesis tying knowledge and morality under thermodynamic bias.
Key Primitives and Setup

Types and Variables: Bits and Energy are linearly ordered with zero and addition. Explanations have dependencies (DependsOn) and complexity (Complexity : Explanation → Bits).
Costs: ErasureCost and PersistenceCost map bits to energy. LandauerFloor is the positive energy minimum for erasing positive bits.
Chains: ExplanatoryChain n is a subtype of functions from Fin n to Explanation where consecutive elements depend on each other.
ChainBits: Total bits in a chain.
ExplainerThreshold: Positive bit threshold for a valid "explainer."
Defs:
ThermodynamicBias: Erasure > persistence for any positive bits.
CheapErasure: Erasure is free (0) for all bits.
OpenEndedGrowth: For any chain length n, there's a chain with bits ≥ threshold.
IsExplainer: Complexity ≥ threshold.
ChainIntact: No erasures in the chain (modeled via a Bool function).

The proofs build from basic inequalities, using the floor assumption (ErasureCost b ≥ LandauerFloor for b > 0) and cheap persistence (PersistenceCost b = 0).
by literallyroy | 2026-02-23 14:35:13+00:00
Weird AI piece. There was a post a few days ago looking at historical sentiment of HN posts; it looks like someone slapped that info into an LLM and asked for a neat website.

Just read the “outcome” for Warp:

> … and became the most popular modern terminal. Login removed, telemetry made optional — every criticism addressed.

Insane
by chasd00 | 2026-02-23 14:35:17+00:00
> such a shame that none of the AI companies actually focus on that way of using AI.

they got a hype train to keep running so i almost understand. coding agents are a new tool, learn how to use and apply them and, equally important, when not to apply them. That's what i'm asking my teams and colleagues to do and what i think is very near term important.
by ramesh31 | 2026-02-23 14:35:21+00:00
Does anyone have experience with professional Brightscript dev? I'm fascinated by it as a web developer looking to find a new niche, but it's like impossible to get into. Seems like every major streaming platform is going to need some experts for the foreseeable future given the install base of Roku at this point, and LLMs are horrible at it.
by mrtksn | 2026-02-23 14:35:32+00:00
I don't know about that, the last 4 years everyone is selling magical AI and AGI is around the corner. Including every single top 10 rich people.

Was this AI proven to be any more fake Than Sam Altman, Elon Musk or Dario Amodei's one? Did he took similar level of money and delivered less than the promised?

What's the scam exactly? They don't seem to claim AGI anyway, they say Artificial Super intelligence which is like every AI company claim.

You seem to be on a mission against this CEO, maybe you can clarify a bit more about the scams you believe he is committing?
by lloydatkinson | 2026-02-23 14:35:33+00:00
What are you even basing this on? I did an experiment a few days ago, where a text input on a web page reacts to text input. Once it hits a certain count, the colour changes, like a validation error.

In the initial crappy implementation the code was assigning the same class over and over to the text input, rather than only when required. Despite that being an obvious bug, I could literally feel the difference in typing speed and how that was hammering the page.

Once the bug was fixed, and it only assigned it once correctly, the problem went away.

"redraw everything the whole frame" and "don't do any diffing" sound insane in this regard.
by lazide | 2026-02-23 14:35:53+00:00
Evidence clearly shows otherwise.

Also, military sensor use shows the best answer is to have as many different types of sensors as possible and then do sensor fusion. So machine vision, lidar, radar, etc.

That way you pick up things that are missed by one or more sensor types, catches problems and errors from any of them, and end up with the most accurate ‘view’ of the world - even better than a normal human would.

It’s what Waymo is doing, and they also unsurprisingly, have the best self driving right now.
by Ylpertnodi | 2026-02-23 14:36:07+00:00
As another black person (3rd gen Ghanaian, sp), you can get lost, and you have no 'authority' (really?) at all to tell me/ others how you feel.

Blacklist it is, for me.

Eu-based, fwiw.
As i grew up we were coloUred, for a while, and then 'black' became the easy way to descibe ourselves.
by Kim_Bruning | 2026-02-23 14:36:38+00:00
Absolutely; if you're deploying experimental systems: do your homework and assess the risks, get consent of the human participants, and stay in constant communication. If the Openclaw's operator here had done that from the start, things would have gone a lot differently.

In fact, you can imagine that if we build up a just culture around deployment of semi-autonomous agents like this, the operator wouldn't have had to remain anonymous in the first place. Best practices help everyone.
by wiradikusuma | 2026-02-23 14:36:51+00:00
Another thing is lead time. I built an app (https://signagesync.app/) to "multi-chromecast" websites and videos to Android TV, macOS, Windows and hopefully Samsung TV as well.

"Hopefully", because it took me literally 2 months waiting for the reviewer to test my app after it's submitted (to be fair, they did say "expect 6-8 weeks" upfront). They found some issues (crashes), so it was rejected, but I lost interest in resubmitting.
by pjc50 | 2026-02-23 14:36:53+00:00
What if the dead internet is where the profits are?

https://investor.pinterestinc.com/news-and-events/press-rele... "Pinterest Announces Fourth Quarter and Full Year 2024 Results, Delivers First Billion Dollar Revenue Quarter"

(presumably the money is from advertisers, and the 5200 people are on the phone to advertisers persuading them to increase spend)
by embedding-shape | 2026-02-23 14:37:11+00:00
To be honest, I'm not quite sure what the ideal UX looks like yet. The AI assisted autocomplete is too little, but the idea of saying "Build X for purpose Y" is too high-level. Maintaining Markdown documents that the AI implements, also feels too high-level, but letting the human fully drive the implementation probably again too low-level.

I'm guessing the direction I'd prefer, would be tooling built to accept and be driven by humans, but allowed to be extended/corrected by AI, or something like that, maybe.

Maybe a slight contradiction, and very wish-washy/hand-wavey, but I haven't personally quite figured out what I think would be best yet either, what the right level actually is, so probably the best I could say right now :) Sorry!
by 0_____0 | 2026-02-23 14:37:19+00:00
If you have multi-return lidar, you can see through certain occlusions. If the fog/rain isn't that bad, you can filter for the last return and get the hard surface behind the occlusion. The bigger problem with rain is that you get specular reflection and your laser light just flies off into space instead of coming back to you. Lidar not work good on shiney.
by cestith | 2026-02-23 14:37:29+00:00
One of the comments on the original article plays aerodynamics off as unimportant, saying only up to 0.4 miles per gallon difference. Even if that number was true, this is an industry that gives drivers patches on their shirt or hat for averaging above 7 miles per gallon of fuel for the year. An extra 0.4 miles out of every gallon is insignificant at all.
by falcor84 | 2026-02-23 14:37:34+00:00
A thousand years? What made you go with that number?

The protestant reformation was only about 500 years ago, and I'm pretty sure that Martin Luther wouldn't have bothered that much if the expected "donations" were really cheap. And even if you do go with "a coin", which was apparently the price of an annual indulgence for a regular peasant, that was about the same price as a whole pig, or on the order of $1k in today's money, so definitely not symbolic.
by gwbas1c | 2026-02-23 14:37:47+00:00
American religions are supposed to stay out of politics, or they risk their tax-exempt status.

For me, the disturbing event was shortly before the 2016 event when a Catholic Church in Lowell MA had posters urging people to vote no on marijuana legalization.

(In my case, I smelt the politization when I was a teenager so I never continued being Catholic as an adult.)
by neodymiumphish | 2026-02-23 14:37:53+00:00
Are you being sarcastic?

Like sure, it is. But when I'm out doing something and she texts me a book title and author, I'd have to make a mental note to take care of it next time I'm free. It also means having a stack of epub files in my phone/tablet/laptop downloads that I've got no use for.
by flohofwoe | 2026-02-23 14:38:10+00:00
> Easier to retain that state in GPU and just update a few values here and there

It's really not that trivial to estimate, especially on high-dpi displays.

Rendering a texture with a 'baked UI' to the framebuffer might be "just about as expensive" as rendering the detailed UI elements directly to the framebuffer.

Processing a pixel isn't inherently cheaper than processing a vertex, but there are a lot more pixels than vertices in typical UIs (a baked texture might still win when there's a ton of alpha-blended layers though).

Also, of course you'd also need to aggresively batch draw calls (e.g. Dear ImGui only issues a new render command when the texture or clipping rectangle changes, e.g. a whole window will typically be rendered in one or two draw calls).
by twodave | 2026-02-23 14:38:30+00:00
It's been nearly a year since the creator of MediatR and Automapper announced a dual-license. Since then, the only commits in the MediatR repo concern licensing and basic project/build maintenance. It seems shameful to me that this was done without even a thought of improving or building onto the software for paid users. Then again, I suppose I'm not surprised. What is there to add? Still, I feel bad for anyone actually paying for this.