MurphyA/hacker-news huggingface dataset:
by _fat_santa | 2025-12-15 13:55:31+00:00
I think what’s worse is how Grok is used on X. You can summon it on any thread by just @grok with your question.

I see this sooo soooo much but folks will just straight up ask “@grok is this true?” and its response it taken as gospel.

Though I have to say, grok code-fast-1 is one of the best coding models I’ve ever used.
by nobodyandproud | 2025-12-15 13:55:44+00:00
Not all innovation or value offerings are technical, though admittedly it's what first drew me in.

Example: I buy an iPhone over the competition because it's a superior experience. Their walled-garden (RIP) made for a less appealing attack vector than Android, their commitment to privacy is real (a reflection of Tim Cook), and how they as a company project those values against government entities are all positives.

Before then, I never imagined buying Apple products; and always believed they were overpriced (in many respects, yes) but there are other harder-to-quantify benefits.
by Simulacra | 2025-12-15 13:55:53+00:00
This. I support recycling, but it is an absolute wasted endeavor so long as we continue to produce and dump plastic. No amount of recycling can hold a candle to the damage being done by the inability to recycle plastic, the insane production of new plastic, and the disposable of all of that plastic.

Until we learn to do something with the plastic, recycling is just a pipe dream to make people feel better.
by dwa3592 | 2025-12-15 13:56:30+00:00
It was bound to happen. I had bought two different robo vaccums at two different times (in 2022[irobot], then 2025[eufy], both upwards of $400) - they both were pretty terrible and I ended up returning both of them. I can't believe people are still using these things. They get stuck when there is no reason to get stuck, they miss dirt that should be picked up.
Show HN: Ace interviews with AI, real time feedback
by michelutti | 2025-12-15 13:56:31+00:00
This is a side project I've been building from scratch, from code to infrastructure and deployments, and now the marketing.

Training interviews and getting instant, accurate feedback would have saved me a lot of time interviewing people. At the end of each interview, a complete report is delivered with next steps to improve in the next one. Furthermore, each person can create their own agent and define tones, questions, and topics, allowing for further customization to their liking.

The feedback process consumed a significant amount of time for validation, using a lot of langchain and several interactions to achieve a good and well refined result. I'm sure it's extremely valuable for anyone with upcoming interviews.
by ilamont | 2025-12-15 13:56:37+00:00
There’s a really good interview with Rob Reiner on Fresh Air, recorded as Spinal Tap 2 was being released a few months back. He talks all about the many movies he’s worked on as well as growing up in the household of a comedian. Well worth 45 minutes of your time:

https://www.npr.org/programs/fresh-air/g-s1-87790/fresh-air-...
by thatjoeoverthr | 2025-12-15 13:56:43+00:00
“Boo capitalism” on the outside, AI personhood on the inside. Actual agenda: disposable moral vehicles. AI liability is the goal.

A tax on corporate profits is a tax on cost cutting already.

A tax on “AI” is a way to compartmentalize. But you can’t, and you shouldn’t.

First, you won’t be able to formalize which gains are “AI” and which are not. Is it deep learning? If so, a gunshot detector is taxed and a McDonald’s touch screen is not. Is that what you want?

Second, a host of labor savings that don’t look like “robotics” or “AI” are also not covered. If you increase the MTBF on a traffic light, you cut the labor of light replacement. Is this morally different than a McDonald’s kiosk?

What about the traffic light itself? Shouldn’t that be a cop with a whistle?

We can do this all day.
by nutjob2 | 2025-12-15 13:57:00+00:00
> artificial protections

Everything is an artificial protection by your standard. Laws are written for a reason.

IP is an incentive to develop the IP in the first place. Why would anyone sink huge amounts of money into developing IP if a competitor can just wait and then take it for itself.

And if its such a good idea, why hasn't China been a superpower for so long? America and Europe have been creating and innovating for centuries and millennia. In recent decades China has risen by replicating the West's technology and techniques. Where would China right now be without the West? What is the plan to surpass the West without someone else supplying the IP? Suddenly China is going excel at something at something they haven't done? Japan is instructive because they rose economically in a similar fashion.

A key difference is that the West are liberal democracies and there is strong evidence that freedom and a cosmopolitan society promotes innovation.

Which system is better isn't hard to spot. The naivete of some here is incredible.
by twodave | 2025-12-15 13:57:09+00:00
Yes, being able to pay wages that amount to slavery opens a lot of doors. There is a lot of positive Chinese sentiment on this website, much of it exaggerated, and all of their accomplishments pretty much hinge on being able to exploit their workforce, of which we just sort of wave our hands and dismiss it in these types of discussions.

Not to mention the blatant corporate espionage. They may have some of their own innovations, and I’m sure there are plenty of smart people there who, despite being oppressed, still find joy in building things. But let’s not pretend this is all due to excellence.
Show HN: FocusFour – Eisenhower Matrix on Apple Reminders
by qzcanoe | 2025-12-15 13:57:44+00:00
I built FocusFour because I was busy all day but still missing the things that actually mattered.

FocusFour is a task manager based on the Eisenhower Matrix, built directly on top of Apple Reminders. Recently I added lightweight AI to help identify and surface tasks that are likely important but getting ignored.

What it does:

* Four-quadrant (important vs. urgent) task view * Uses AI to highlight and reprioritize important tasks * Native Apple Reminders integration (no new inbox, no migration) * Local-first, no accounts * iOS, iPadOS, macOS

I’m curious about two things:

* Whether AI-assisted prioritization is actually useful long-term * Tradeoffs of building on system tools instead of owning all task data

Happy to answer questions or hear criticism.
by josefresco | 2025-12-15 13:57:52+00:00
I have a second-hand "dumb Eufy" and it's great. No cameras, no microphone, no Wi-Fi, no app, no calling home to mommy. It just spins, sucks and bangs (gently) around my house and I don't get mad when it gets stuck. It cleans under things I can't reach easily with a vacuum, and it cost me almost nothing.
by timschmidt | 2025-12-15 13:57:54+00:00
"After 9/11, they took one of the programs I had done, or the backend part of it, and started to use it to spy on everybody in this country. That was a program I created called Stellar Wind. That was seperate and compartmented from the regular activity which was ongoing because it was doing domestic spying. All the equipment was coming in, I knew something was happening but then when the contractors I had hired came and told me what they were doing, it was clear where all the hardware was going and what they were using it to do. It was simply a different input, instead of being foreign it was domestic." - William Binney

https://www.youtube.com/watch?v=590cy1biewc

Clear as day to me. Only reason to chop it up or not cite the source would be to misrepresent what he said.

> I very clearly stated the EFF doesn't (present tense) claim what you're claiming.

"In February 2015, Judge White dismissed the latest motion by the EFF, accepting the NSA's argument that the requirements placed upon the agency would engender the "impermissible disclosure of state secret information." White also held that the plaintiffs did not have standing to pursue their claims.[20] This procedural ruling allowed White to avoid addressing the constitutionality of the NSA's mass surveillance program.[21]

Upon the disclosure of more information about the NSA's surveillance methods, the EFF filed another motion in May 2017 requesting that the agency disclose information about surveillance conducted against Carolyn Jewel and the other plaintiffs. Judge White granted this motion and ordered the government to hand over the information.[22][23] However, the NSA filed a motion in opposition to that order, claiming once again that the plaintiffs lacked the standing to sue. After further arguments, the District Court accepted this argument in April 2019.[24]

The EFF appealed that ruling to the Ninth Circuit. In a memorandum opinion, that court ruled in favor of the NSA, once again on the matter of standing.[25] In June 2022, the EFF made a final request to the U.S. Supreme Court to take the case, but that court rejected the request and did not grant certiorari."

https://en.wikipedia.org/wiki/Jewel_v._National_Security_Age...

No retraction. A willingness to take it all the way to the supreme court. Procedurally dismissed without deciding any of the issues raised. Clear and present.
by mrsmrtss | 2025-12-15 13:57:56+00:00
Sorry, I can't seem to edit my answer anymore, but I was mistaken, C# version is using AOT. But the are other significant differences here:

> var rounds = int.Parse(File.ReadAllText("rounds.txt")); > var pi = 1.0D; > var x = 1.0D; > for (var i = 2; i < rounds + 2; i++) { > x = -x; > pi += x / (2 \* i - 1); > } > pi \*= 4; > Console.WriteLine(pi);

For example, if we change the type of 'rounds' variable here from int to double (like it is also in Go version), the code runs significantly faster on my machine.
by lelandfe | 2025-12-15 13:58:02+00:00
> technological unemployment is not something that will be sudden or obvious

I already have friends experiencing technological unemployment. Programmers suddenly need backup plans. Several designers I know are changing careers. Not to mention, the voiceover artist profession will probably cease to exist besides this last batch of known voices. Writer, editor - these were dependable careers for friends, once. A friend travelled the world and did freelance copyediting for large clients.

ChatGPT was just released three years ago.
by vjvjvjvjghv | 2025-12-15 13:58:22+00:00
I think you are on to something. In the US I feel the focus is more and more on catering to the maybe top 20% who can afford to pay a lot more for things. There are less and less low end cars. Concerts and sports events are super expensive. New apartments are usually in the higher price range. No starter homes anymore. Instead of innovating, we just increase the price of assets.
by lo_zamoyski | 2025-12-15 13:58:58+00:00
> the deeper I got into the world of literature, the further I was pushed towards simpler language and shorter sentences

Language is like clothing.

Those with no taste - but enough money - will dress in gaudy ways to show off their wealth. The clothing is merely a vector for this purpose. They won’t use a piece of jewelry only if it contributes to the ensemble. Oh, no. They’ll drape themselves with gold chains and festoon their fingers with chunky diamond rings. Brand names will litter their clothing. The composition will lack intelligibility, cohesiveness, and proportion. It will be ugly.

By analogy, those with no taste - but enough vocabulary - will use words in flashy ways to show off their knowledge. Language is merely a vector for this purpose. They won’t use a word only if it contributes to the prose. Oh, no. They’ll drape their phrases with unnecessarily unusual terms and festoon their sentences with clumsy grammar. Obfuscation, rather than clarity, will define their writing. The composition will lack intelligibility, cohesiveness, and proportion. It will be ugly.

As you can see, the first difference is one of purpose: the vulgarian aims for the wrong thing.

You might also say that the vulgarian also lacks a kind of temperance in speech.
by OneDeuxTriSeiGo | 2025-12-15 13:58:58+00:00
There's a lot of things that really jam up recycling.

One of them is plastic grocery bags. They just cause a lot of problems in the mechanisation of recycling so it's very non-trivial to work around them.

Oils and biowaste of course are of course another issue. Especially for corrugated fiberboard (brandname: cardboard) and the like.

And then also it's hard for machines or lineworkers to easily differentiate plastics without sufficient market or regulatory pressure. If consumers are already generally sorting by broad category then they take most of the legwork out (leaving the facility to check their work) and those consumers also apply market pressure on manufacturers to make it obvious how their product is expected to be recycled.

And of course also there's just a general component of everyone doing a little at a time to keep things organised from the start making the entire process an order of magnitude easier and more efficient for everyone downstream.
by IAmBroom | 2025-12-15 13:59:02+00:00
So, you're anti-vaccine? And anti-antibiotic? And pro-dying of disease and cancer, in general?

I'm sorry that you're also so numerophobic, but real people use numbers of those magnitudes every day. Your own computer, in fact, has billions of storage slots in its disk space - although perhaps that's something that doesn't fall into your job description.
by mexicocitinluez | 2025-12-15 13:59:17+00:00
Totally agree.

It also rubs me the wrong way since "AI" quite literally means everything from LLMs to how the ghosts in Pacman move.

Like, you don't hate AI. You hate the way it's being used. It would be weird to say "I hate that computers have the ability to transpose spoken language to text". Or "I can't stand the ambient listening tool being used to treat my father's UTI's while he has Alzheimer's". Or even better "I hate that my credit card company is trying to determine whether someone is fraudulently using it".

And what's worse is that it treats this is a relatively new problem. But rich people abusing the system to make more money at the cost of making others poor is hardly a new thing.
by syntaxing | 2025-12-15 13:59:20+00:00
I think the XV-11 was the first affordable (as in, affordable enough to be part of the COGS and reliable enough to be in a product) for consumers. It helped how there was a cult like following (understandably so) and everything got reversed engineered from schematic to firmware. By principle, a lidar is simple but most things are. The hard part is how to make a product out of it. One of the main things Chinese suppliers improved on 2D LiDAR is having the laser portion completely wireless. Induction powered, and LED light pipe for data communication. This removes the need for the slip ring which wears out and is hard to package.
by giarc | 2025-12-15 13:59:23+00:00
The concern - for you, maybe nothing. However, the new company could say "turn on microphone for all vacuums in the DC area and send transcripts to us" (trying to capture private conversations of politicians. Or it could do the same for vacuums located new military bases or corporate headquarters. With transcription software and AI, it could simply record and transcribe every conversation it hears and look for important information or mentions of key phrases.
by treewhopper | 2025-12-15 13:59:27+00:00
Postr | https://www.postr.com | Staff Engineer | Full-Time | 160k+ | Must be in the US | REMOTE (US) - Miami, FL

Hi, I'm Matt from Postr. We're a small, senior team looking for staff-level engineers who are capable sole-contributors and team players. We have a high bar for quality. Salary is negotiable based on your skill-level.

Postr is a marketing and metrics marketplace connecting social media content creators to advertisers -- large and small. Our advertisers are looking for targeted, authentic content at scale, and we provide the end-to-end service that automates this process. Our strategic industry connections and automated marketplace approach brings content creation into the gig economy while protecting creator and brand rights.

Web Stack: (Next.js, TailwindCSS, Mantine UI) <-> AWS AppSync <-> DynamoDB

Mobile Stack: React Native Expo (EAS), Nativewind

CI: Amplify (Gen 2) and Terragrunt

We are hiring in the following expertise areas: Real-time UI/UX, RN Expo Mobile Apps, Social Media platform APIs, CRM sync, AI taxonomy, Banking Deposits, KYC/Gig payout APIs, AWS CDK, Logistics/Shipping, GPU accelerated mapping, and Apple Wallet/Google Wallet card provisioning.

Reach out directly with at least one example of your work that showcases an engineering pattern that you are proud of. Attach your resume and portfolio.

Contact: matthew@postr.com
by anonymous908213 | 2025-12-15 13:59:34+00:00
To be clear, I found the dry quip about the 4th of July amusing, and specifically pointed out that I thought that specific parenthesised line was inserted by the author. I don't think a British author would naturally reach for "4th of July" as their frame of reference for bombastic celebrations in the first place, though. My point was that seemed to be something the LLM generated and the author riffed off of.

I'm not about to go into a deep dive analysing the author's past writing style, but there is a clear difference just from glancing at the headers alone. Looking at older articles, such as this "featured" one[1], they all share a commonality: the headers are boring. Matter-of-fact. Plainly descriptive. "The reasoning". "The background". "The research".

[1] https://drobinin.com/posts/what-ive-learnt-after-sending-147...

Then a sudden spate of activity in late 2025 after years of not having written anything other than yearly recaps, and all of the new posts share a different commonality: the headers are 'creative'. "The Childhood Trauma". "Teaching a circle to care". "47 seconds: a villain origin story"[2]. "The uncomfortable engineering truth".

[2] https://drobinin.com/posts/how-i-accidentally-became-puregym...

It is quite a noticeable shift to go from always writing useful headers that clearly communicate the purpose of the following text, to always writing clickbait headers that try to hook the reader's emotional attention.
by nalife520 | 2025-12-15 13:59:52+00:00
That’s a good question, honestly.

I don’t think “no ads or tracking” should be a merit at all. It just ended up that way because this started as something I built for myself, and I never bothered adding anything beyond what was needed to make it work.

And yeah, you’re totally right about Math.random(). I didn’t think much about “randomness quality” when building it — it’s very much a naive implementation. If someone opens the console and tweaks it, that’s fair.

For me it was less about randomness being correct, and more about having something external that nudges me to start. At that point, the coin flip has already done its job.
by wongarsu | 2025-12-15 14:00:17+00:00
It's not like there are dozens of options and you constantly have to switch. You just have to estimate if at maximum growth your table will have 32 thousand, 2 billion or 9 quintillion entries. And even if you go with 9 quintillion for all cases you still use half the space of a UUID

UUIDv4 are great for when you add sharding, and UUIDs in general prevent issues with mixing ids from different tables. But if you reach the kind of scale where you have 2 billion of anything UUIDs are probably not the best choice either
by thehours | 2025-12-15 14:00:33+00:00
I use the Raycast + Whisper Dictation. I don't think there is anything novel about it, but it integrates nicely into my workflow.

My main gripe is when the recording window loses focus, I haven't found a way to bring it back and continue the recorded session. So occasionally I have to start from scratch, which is particularly annoying if it happens during a long-winded brain dump.
by ggap | 2025-12-15 14:00:39+00:00
MediaReduce is a SaaS platform that helps e-commerce sellers and brands automate product image processing to meet marketplace requirements for Amazon, Shopify, Etsy, and Google Shopping.

Instead of manual editing or one-off AI tools, MediaReduce provides workflow-based image automation that delivers consistent, professional, and marketplace-ready results at scale.

What MediaReduce does

- Automates product image compliance (dimensions, formats, backgrounds, file size)

- Provides prebuilt workflow templates for Amazon sellers, Shopify merchants, and e-commerce teams

- Enables bulk processing with predictable, repeatable output

- Powers a Shopify App that processes and replaces images directly inside Shopify Admin

- Optimizes images for speed, zoom, and conversion without manual intervention

Why it’s different

Most image tools optimize for “AI magic.” MediaReduce optimizes for consistency, compliance, and scale.

- Deterministic processing (no random results)

- Professional edge refinement and enhancement

- Platform-aware outputs (Amazon, Shopify, Etsy rules)

- Clear free → paid upgrade path for premium workflows

- Built for real production catalogs, not one-off edits

Who it’s for

- Shopify merchants managing growing product catalogs

- Amazon and Etsy sellers tired of image rejections

- Agencies handling multi-store or multi-platform listings

- E-commerce teams that need reliable automation, not manual editing

Core use cases

- Amazon main image compliance

- Shopify speed & zoom optimization

- Product image enhancement for low-quality photos

- Multi-platform export workflows

- Bulk catalog image processing

MediaReduce turns product image preparation into a reliable, automated system — so sellers can focus on selling, not fixing images.
Show HN: Far RAG API – Semantic Search for Federal Regulations (OpenAPI)
by blueskyline | 2025-12-15 14:00:41+00:00
I built an API that provides semantic search over Federal Acquisition Regulations for GovCon AI systems and compliance bots.

*What it does:* - Semantic search across 617 FAR Part 52 clauses - Pre-vectorized with 384-dim embeddings (all-MiniLM-L6-v2) - Returns relevant clauses with similarity scores - Daily auto-updates from acquisition.gov - OpenAPI spec for AI agent integration

*Why it exists:* If you're building AI for government contracting, your LLM will hallucinate legal citations. A wrong FAR clause = disqualification. This solves that.

*Try it free:* https://blueskylineassets.github.io/far-rag-api/honeypot/

*API access (RapidAPI):* https://rapidapi.com/yschang/api/far-rag-federal-acquisition...

*Code (open source):* https://github.com/blueskylineassets/far-rag-api

Built with FastAPI + sentence-transformers. All data is public domain (17 U.S.C. § 105).

Open to feedback!
by jklowden | 2025-12-15 14:00:47+00:00
iRobot’s largest creditor isn’t its Chinese supplier. It’s the US government, in the form of unpaid tariffs, some $3.5 million. Arguably it was Trump’s stupid tariffs that drove the company out of business. Rather than bringing manufacturing to the US, it allowed the Chinese to acquire an American company, leaving production right where it is.
by Joel_Mckay | 2025-12-15 14:01:04+00:00
If a task involves zero workmanship, than the opportunity cost is near $0 anyway.

To be clear, LLM is not real "AI", not sustainable, and already losing money with every new user.

An imperfect mirror shows only the irrational what they wish to see.

https://www.youtube.com/watch?v=yftBiNu0ZNU

I look forward to likely having a cluster of heavily discounted GPUs in a few years. =3
by popupeyecare | 2025-12-15 14:01:11+00:00
https://trypixie.com

I’ve been working on Pixie, a platform to employ and track your kids for real work; for families with a business, it helps reduce tax burden and fund a child’s Roth.

I’m actually an anesthesiologist with some 1099 income, built the platform myself because my kids help with my side projects, and have since onboarded CPAs who now offer it to their clients. It's been a fun journey!