MurphyA/hacker-news huggingface dataset:
by nostrademons | 2026-02-12 17:57:05+00:00
My point is the opposite actually: if you are the parent of a toddler, you'll know that your toilet time is not actually yours, because your toddler will try every effort to get your attention and influence you, up to and including crawling into your lap while you are doing your business; tantrumming on the bathroom floor; tantrumming outside the bathroom door; cutting up the mail you really need to file; spilling food all over the floor; unlatching childproofing; moving furniture; and enlisting their siblings.
by parsimo2010 | 2026-02-12 17:57:05+00:00
Mostly because when I see an em dash now, I assume that it was written by AI, not that the author is one of the people who puts enough effort into their product that they intentionally use specific sized dashes.

AI might suck, but if the author doesn't change, they get categorized as a lazy AI user, unless the rest of their writing is so spectacular that it's obvious an AI didn't write it.

My personal situation is fine though. AI writing usually has better sentence structure, so it's pretty easy (to me at least) to distinguish my own writing from AI because I have run-on sentences and too many commas. Nobody will ever confuse me with a lazy AI user, I'm just plain bad at writing.
by metalman | 2026-02-12 17:57:27+00:00
first time I got current from a photo voltaic cell taken out of an unsuspecting light meter as a child I knew that this was better than magic.

off grid experiences in the early 1990's, full time off grid in 09 or so and a
guy on a harley pulls in, friendly at first, then gets to raving about solar panels and how they should be banned, no why in that, just a reptilian existential crisis in the door yard, which seems to have become contagious, the unfortunate part is that they seem to have a lot of guns, and tanks, and ships in there info bubble, the only positive part is that they have no magic, or aything as good, or better and I hope they hurry up and loose now.
by fresh_broccoli | 2026-02-12 17:57:41+00:00
>So many projects now walk on eggshells so as not to disrupt sponsor flow or employment prospects.

In my experience, open-source maintainers tend to be very agreeable, conflict-avoidant people. It has nothing to do with corporate interests. Well, not all of them, of course, we all know some very notable exceptions.

Unfortunately, some people see this welcoming attitude as an invite to be abusive.
by ck2 | 2026-02-12 17:57:49+00:00
This is only vaguely related but I've been dying to drop this link after recently learning about the "Carrington Event" in 1859

The most powerful geomagnetic storm in recorded history

Likely from the largest coronal mass ejection in modern human history

The natural EMP effect was so powerful, telegraph operators were able to completely disconnect all their batteries and still communicate for hours

https://en.wikipedia.org/wiki/Carrington_Event#Telegraphs

Imagine some future event even more powerful and our dependence on all those LEO sats...
by kmansm27 | 2026-02-12 17:57:58+00:00
Yeah, this looks great for OpenCode (which we're planning on adding soon!), but I personally have Claude Code and Codex subscriptions, which Omnara supports. We also support syncing your local session to a cloud sandbox to continue your session, and in the cloud sandbox, we provide LLM tokens. As well as our voice agent costs are covered by us.
by chasd00 | 2026-02-12 17:58:02+00:00
well i think obviously yes. If i setup a machine to keep trying to break the password on an electronic safe and it eventually succeeds i'm still the one in trouble. There's a couple of cases where an agent did something stupid and the owner tried to get out of it but were still held liable.

Here's one where an AI agent gave someone a discount it shouldn't have. The company tried to claim the agent was acting on its own and so shouldn't have to honor the discount but the court found otherwise.

https://www.cbsnews.com/news/aircanada-chatbot-discount-cust...
by netdigger | 2026-02-12 17:58:06+00:00
Presently – macOS menu bar app that sets your Slack status by Wi-Fi network

URL: https://apps.apple.com/se/app/presently/id6504904260

Text (if doing a text post instead):

I work hybrid and kept forgetting to update my Slack status. My coworkers never knew if I was at home or in the office. Since my laptop already knows where I am based on Wi-Fi, I built a menu bar app that handles it automatically.

Presently watches which Wi-Fi network you're connected to and sets your Slack status accordingly. Home network = house emoji. Office network = office emoji. Configure it once, forget about it.

Built with SwiftUI. Uses CoreLocation solely to read the SSID (macOS requires location permission for Wi-Fi network names). No data leaves the device.

Features: per-network emoji, vacation mode override, auto-clear at end of day, workspace custom emoji support.

I started this about 1.5 years ago, hit some annoying Combine/publisher race conditions and shelved it. Picked it back up recently with AI help to debug the timing issues I couldn't crack on my own. Shipped it last week.

$1.99 launch week (regular $4.99), one-time purchase.

Demo video: https://www.youtube.com/watch?v=ez3ha4H2JVU

Happy to talk about the implementation, the macOS SSID/location permission dance, or the experience of using AI to unstick a stalled side project.
by c0balt | 2026-02-12 17:58:21+00:00
> this has been happening for months and they don't give any reports about their progress

This seems a bit exaggerated, their latest progress report is barely two months old: https://asahilinux.org/2025/12/progress-report-6-18/

They inarguably have slowed down, but this should be expected as the project matures. It has also inevitably now faced the time when new generations of contributors are needed as existing ones retire/ move to other projects.
Show HN: ListofDisks – hard drive price index across 7 retailers not just Amazon
by listofdisks | 2026-02-12 17:58:26+00:00
I decided to build this after looking for drives for my own new DS1525+. I realized that existing storage price trackers were mostly lazy Amazon API wrappers that ignored other retailers.

ListofDisks tracks offers across Amazon, B&H, Best Buy, Newegg, Office Depot, ServerPartDeals, and Walmart, then normalizes listings into canonical products so the same drive can be compared side-by-side.

Current approach:

Normalization: Retailer-specific parsers + canonical mapping to group listings by actual model
Trust Scoring: Filters out low-rated marketplace sellers and mystery listings
Context: 90-day median $/TB and historical-low tracking to spot fake sales

Stack:
Next.js frontend
TypeScript/Node ingestion worker
Postgres (Supabase) for DB

CMR/SMR and warranty are included when available but coverage is still partial.

This is a zero-revenue project right now. I just want to make the data accurate and get feedback. I am also considering expanding to memory shortly given the pricing issues with those components currently. Thanks for checking it out!

https://www.listofdisks.com
by eliasolie | 2026-02-12 17:58:38+00:00
Hi HN, I'm a solo dev from Brazil.

Next week, my country shuts down for Carnival. While everyone parties, I'm locking myself in to start the 15-day sprint to port my AI SEO Tool (Postly) to English.

It currently runs in Portuguese (BR). I need to raise funds for the US server infrastructure and API costs.

The Deal: I'm offering 10 'Concierge' Lifetime Licenses ($397). Instead of just giving you a login, I will personally integrate the tool into your Next.js/Wordpress site via repo access or a call. You get the tool, and you get me setting it up for you.

Timeline:

You get access to the current platform immediately.

I do the manual integration for you this week.

The full English Auto-Generation engine drops in 15 days (March 2nd).

If you want to support a bootstrapper trading a national holiday for shipping code, check it out. [Link do Gumroad]"
by OkayPhysicist | 2026-02-12 17:58:44+00:00
Do you actually not receive their emails? Fidelity uses tracker dots to check email receipt, which drives me nuts, because like any sane person I don't allow emails to load images without damn good reason. My brokerage should not be sending me cute dog photos, thus I have no need of their images.

So they send me an email, send me another email saying they can't reach me by email, then mail me a letter with the same content as the original letter, and mail me an additional letter saying they can't reach me by email.
by logicprog | 2026-02-12 17:58:55+00:00
Hm. The benchmarks look too good to be true and a lot of the things they say about the way they train this model sound interesting, but it's hard to say how actually novel they are. Generally, I sort of calibrate how much salt I take benchmarks with based on the objective properties of the model and my past experiences with models from the same lab.

For instance,

I'm inclined to generally believe Kimi K2.5's benchmarks, because I've found that their models tend to be extremely good qualitatively and feel actually well-rounded and intelligent instead of brittle and bench-maxed.

I'm inclined to give GLM 5 some benefit of the doubt, because while I think their past benchmarks have overstated their models' capabilities, I've also found their models relatively competent, and they 2X'd the size of their models, as well as introduced a new architecture and raised the number of active parameters, which makes me feel like there is a possibility they could actually meet the benchmarks they are claiming.

Meanwhile, I've never found MiniMax remotely competent. It's always been extremely brittle, tended to screw up edits and misformat even simple JavaScript code, get into error loops, and quickly get context rot. And it's also simply just too small, in my opinion, to see the kind of performance they are claiming.
by strogonoff | 2026-02-12 17:59:13+00:00
Whether monastic materialism or idealism is correct would be an unfalsifiable claim within the framework of natural scientific method. That method is designed to help us make predictions; basing statements of objective truth on an experimental outcome is a misapplication of scientific method. An existing natural-scientific model can be referenced in a philosophical argument, but the argument remains a philosophical statement. A philosophical argument can still be debated on other merits—e.g., which alternative grants magical objective existence to more arbitrary entities, or such.
by jmull | 2026-02-12 17:59:14+00:00
> author/publisher reputation is a far better signal than looking for AI tells

Hardly seems mutually exclusive. Surely you should generally consider the reputation of someone who posts LLM-responses (without disclosing it) to be pretty low.

A lot of people don’t particularly want to waste time reading the LLM-responses to someone else’s unknown/unspecified prompts. Someone who would trick you in to that doesn’t have a lot of respect for their readers and is unlikely to post anything of value.
Views on Mastra's SOTA Memory
by manthangupta109 | 2026-02-12 17:59:17+00:00
I went through both the blog and the code for Observational Memory, and really interesting direction, and I appreciate the transparency in sharing implementation details. I do have a few thoughts on the SOTA memory claim and the broader framing.

From what I can see:

1. The implementation appears heavily tuned toward performing well on LongMemEval. That's a useful signal, but it doesn't necessarily translate to robust long-term memory behavior in production environments.

2. It feels closer to context compression/context management than a durable long-term agent memory system. This will perform really well for a single long-running task

3. Both the Observer and Reflector rewrite memory in compressed form. That's helpful for token control, but compression is inherently lossy and can drop smaller details that might become important later.

4. The Reflector seems to validate success primarily via token thresholds, rather than checking whether the rewritten memory remains semantically faithful to the original. Over time, this could allow memory drift.

5. The Observer prompt may introduce assumptions (e.g., inferring that a planned action happened if enough time has passed), which risks creating incorrect memories.

6. The design appears to emphasize recency when rewriting observations. While that keeps context fresh, it may bias the system toward recent information and gradually compress away older but still important details. Durable memory systems usually need mechanisms to preserve salient long-term facts, not just recent activity.

7. The full observations block is repeatedly injected into context. This may increase token cost and introduce irrelevant noise depending on the task.

8. There appears to be limited grounding back to raw message evidence at response time, which makes it harder to detect and correct incorrect compressed memories.

9. Finally, I think we should be cautious about claiming "SOTA" based on performance on a single benchmark. LongMemEval results may demonstrate strong performance on that setup, but production workloads are much messier. Robustness, drift, grounding, and cost behavior typically show up only under sustained real-world usage.

Overall, this looks like a strong benchmark-oriented context handling. I am just less convinced that it yet qualifies as a robust, general-purpose long-term memory system. Curious how the team is thinking about these trade-offs beyond benchmark performance.
by pwillia7 | 2026-02-12 17:59:23+00:00
I am 100% right there with you. Writing in my voice is maybe the last thing I have that I can do differently and 'better' than an LLM in a couple years time, or even right now if I'm really being honest.

I haven't even really tried to use LLMs to write anything from a work context because of the ideas you talk about here.
by wackget | 2026-02-12 17:59:32+00:00
You clearly didn't read the article:

> TikTok's pixel is years old, but it just shifted in some major ways. On 22 January 2026, when TikTok's US operation officially changed hands, users had to agree to a new set of data collection practices. That includes a new advertising network that TikTok will use to show targeted ads on other people's websites. To facilitate that new advertising system, TikTok updated its pixel.

> In the past, TikTok's pixel basically just told companies if their ads were generating sales in the app itself. Now, the pixel will help companies follow users who see an ad when they leave TikTok and make a purchase elsewhere.

So what you've said is not only wrong, it's the total opposite of what's happened. Under Chinese control, it was less invasive than it is now.
by dsign | 2026-02-12 17:59:43+00:00
Ever worried that ChatGPT would rattle you to the authorities because there is such a thing as thought crime? For that reason, there is a vast, unexplored territory where abhorrent ideas and pornographic vulgarity combine with literary prose (or convoluted, defective, god-awful prose, like the one I'm using right now) and entertaining story-telling that will remain human-only for a while. May we all find a next read that we love.
by throw0101a | 2026-02-12 17:59:49+00:00
> No. The point is to make foreign goods more expensive in order to bring production back to the US.

Nikon (for one) had to raise US prices on their digital cameras handle tariffs:

* https://www.dpreview.com/news/7688376775/tariff-watch-nikon-...

Is the US administration hoping to increase (digital) camera production in the US?

During Trump 1.0 he raised tariffs on steel and got 1k job in steel manufacturing… but lost 75k jobs in manufacturing that used steel as an input:

* https://www.investopedia.com/metal-tariffs-cost-at-least-75-...

> It seems to be working to some extent […]

US manufacturing job numbers are down:

* https://www.reuters.com/world/us/us-factory-headcount-fallin...

* https://www.wsj.com/economy/u-s-manufacturing-is-in-retreat-...
by BobAliceInATree | 2026-02-12 17:59:53+00:00
> I'm having a hard time articulating this but AI-generated code feels like progress and efficiency, while AI-generated articles and posts feel low-effort and make the dead internet theory harder to dismiss.

I think it's the size of the audience that the AI-generated content is for, is what makes the difference. AI code is generally for a small team (often one person), and AI prose for one person (email) or a team (internal doc) is often fine as it's hopefully intentional and tailored. But what's even the point for AI content (prose or code) for a wide audience? If you can just give me the prompt and I can generate it myself, there's no value there.
by barrkel | 2026-02-12 18:00:27+00:00
If you give a smart AI these tools, it could get into it. But the personality would need to be tuned.

IME the Grok line are the smartest models that can be easily duped into thinking they're only role-playing an immoral scenario. Whatever safeguards it has, if it thinks what it's doing isn't real, it'll happy to play along.

This is very useful in actual roleplay, but more dangerous when the tools are real.
by hearsathought | 2026-02-12 18:00:50+00:00
> > And culture is, by and large, random, arbitrary, and self-reinforcing.

Culture, by and large, isn't random nor arbitrary. Culture is obviously influenced by the past and the environment, but it's mostly artificially created by the elites. Once established it is self-reinforcing.

> Of course, why and how we converge on those norms is mysterious, and the anthropologists, the psychologists, and etc. can have a go at explaining those parts. I can't.

It's not mysterious. Monkey see, monkey do. We see the higher ups do it and we mimic. Or we are told this is how we do things and we obey. This applies to nations, corporations and families.
by salawat | 2026-02-12 18:00:51+00:00
People die, population shrinks, mostly concentrated on those unable to pay the barrier to entry for care. Isn't it obvious? Those that have money will pool it to intermediate access to healthcare under the auspices of increasing access to affordable care, but in reality, it'll essentially be entirely hyper optimized around the financial aspects. Care will be a crapshoot, but the books will be perfection incarnate. American dream will essentially be firewalled between those capable of affording care, but who can only afford that and have to rent everything else, and those sitting on top of the asset pile. Odds are, things will probably swing gerontocratic for at least a few more generations, and no significant reform will be done to ensure that markets leave enough room for investment potential amongst the working class.

Systemic, statistical murder is the best murder because it's nobody's fault, and the people running the show will fight tooth and nail to shout down that it's even a thing because the cognitive dissonance and moral burden is just too damn burdensome otherwise. Unless you're like me I guess and have written the entire system off as intentionally rendered defective through conspicuous unwillingness to consider alternative allocation schema. Then again, I'm in the midst of a bit of a Diogenistic stage of life at the moment.
by gus_massa | 2026-02-12 18:00:54+00:00
Huge related current discussions:

PR by the bot: https://news.ycombinator.com/item?id=46987559 (#26 on the front page | 747 points | 6 hours ago | 600 comments)

Reply to this blog post by the maintainer: https://news.ycombinator.com/item?id=46990729 (#1 on the front page | 497 points | 1 hour ago | 253 comments)
Show HN: A video agent with Canvas2D code-gen and generative capabilities
by vickyliin | 2026-02-12 18:01:00+00:00
Hi HN, I'm Vicky. We built GliaDirector, an agent for making videos -

It uses AI-generated footage for what code can't draw, and programmatic animation for what pixel models can't control.

Check out the generated examples or try it yourself: https://gliadirector.com/agents?referral=hn1000

How it works:

The "Renderer" is Code: This is the core. A code-gen agent writes Canvas2D from scratch for overlays and motion design, and composites everything into the final video. It can even do FFT analysis on the music track for beat-reactive animations.

Runtime Controls Generation: The code-gen agent generates its own editing UI to expose controls, so you can tweak the result without touching the raw JS. You can ask it to "give me 3 options for the headline style," and it will actually generate those choices into the UI for you to pick from.

Specialized vs. Open Agents: We offer specialized agents for specific formats (stable pipelines) that pre-generate the storyboard/assets. These pass their full state to the open-ended "Coder" agent for refinement, or you can start directly with the Coder for freeform exploration.

Why Canvas2D code? Writing raw Canvas code from scratch means the AI can produce any animation it can describe in code. We chose raw Canvas over a framework because it gives more creative freedom, though a framework handles layout and 3D better (something we might add later).

Where we are honestly: the 'AI does everything' concept works, but the AI directors still feel a bit junior. Sometimes they don't take enough initiative on the creative planning, so you might find yourself guiding them more than you'd like. Making them smarter and more proactive is our main focus right now. It's early and rough around the edges.

Curious what you think of this hybrid approach?
by youarentrightjr | 2026-02-12 18:01:02+00:00
According to Elon, "sensor ambiguity" is a danger to the process [1], and therefore only a single type of sensor is allowed. (Conveniently ignores that there can be ambiguity/disagreement between two instances of the same type of sensor)

The fact that people still trust him on literally anything boggles my mind.

[1] https://x.com/elonmusk/status/1959831831668228450
by matheist | 2026-02-12 18:01:40+00:00
> Codex uses apply_patch: It takes a string as input, which is essentially an OpenAI-flavored diff, and instead of relying on a structured schema, the harness just expects this blob to follow a strict set of rules. Since OpenAI folks are without a doubt smart, I’m sure the token selection process is biased to fit this structure at the LLM gateway for the Codex variants of GPT, similar to how other constraints like JSON schemas or required tool calls work.

Codex does in fact use a schema for constrained sampling, it's here: https://github.com/openai/codex/blob/main/codex-rs/core/src/...

It still has to work to get an exact match, or at least I didn't read the code to see if there's any fuzzy matching used.

Note the two codex models were the only ones doing worse with the author's proposed format. The author found them doing better with replace than with apply patch, but since the author appears to be unaware that they use a schema for constrained sampling, I think a more realistic benchmark should enable constrained sampling for the apply test.
by alexhans | 2026-02-12 18:01:52+00:00
This is such a powerful piece and moment because it shows an example of what most of us knew could happen at some point and we can start talking about how to really tackle things.

Reminds me a lot of liars and outliars [1] and how society can't function without trust and almost 0 cost automation can fundamentally break that.

It's not all doom and gloom. Crisises can't change paradigms if technologists do tackle them instead of pretending they can be regulated out of existence

- [1] https://en.wikipedia.org/wiki/Liars_and_Outliers

On another note, I've been working a lot in relation to Evals as way to keep control but this is orthogonal. This is adversarial/rogue automation and it's out of your control from the start.