MurphyA/hacker-news huggingface dataset:
by ReclusiveCoder | 2025-12-03 04:37:00+00:00
Indeed, that's whatthe article captures here:

>> Microservices make sense in very specific scenarios where distinct business capabilities need independent scaling and deployment. For example, payment processing (security-critical, rarely updated) differs fundamentally from recommendation engine (memory-intensive, constantly A/B tested). These components have different scaling patterns, deployment cycles, and risk profiles, which justify separate services.
by VirusNewbie | 2025-12-03 04:37:55+00:00
Could be your job, or you could be depressed. I think you could debug a bit, would most people be happy with your job? Do some people seem happy there? If you tell me you're entry level at Amazon, well, no, a lot of people hate that.

If you tell me you work for some startup slaving away 60 hours a week, or work for some backwater government agency where you work 20 hours a week max and everything moves as fast as molasses, sure, either of those extremes can crush someone's soul.

If you work at a company that many people seem to be happy at, then you either are in the wrong job, or you should see a professional.

Finally, do you have other people you care about in life? Modern society is so good at telling us to focus inward, but study after study shows we find fulfillment in caring for others, be it friends, a partner, children, pets, etc.
by bsder | 2025-12-03 04:39:36+00:00
At this point you are now forced to use the "AI"s as code search tools--and it annoys me to no end.

The problem is that the "AI"s can cough up code examples based upon proprietary codebases that you, as an individual, have no access to. That creates a significant quality differential between coders who only use publicly available search (Google, Github, etc.) vs those who use "AI" systems.
by bastawhiz | 2025-12-03 04:39:36+00:00
It's unclear whether you could build a JIT that meaningfully benefits from typescript types.

1. Hidden classes can't be created from TS interfaces because they don't represent the full data of the underlying object

2. You don't really ever want to compile code the first time you see it, because that takes a lot of memory and extra CPU cycles. By the time code has run enough to be worth compiling, you probably have enough profile data to optimize better than you could with data from the types anyway.

3. Many of the juiciest optimizations come from types that aren't representable in TS, like integers.

4. Including all the types for all your code and deps (literally all the .d.ts) is huge, and the size increase alone might nullify any performance benefit.
by mNovak | 2025-12-03 04:39:54+00:00
Broad estimates I'm seeing on the cost of a 1GW AI datacenter are $30-60B. So by your own revenue projection, you could see why people are thinking it looks like a pretty good investment.

Note that if we're including GPU prices in the top-line capex, the margin on that $70-150B is very healthy. From above, at 0.4J/T, I'm getting 9MT/kWh, or about $0.01/MT in electricity cost at $0.1/kWh. So if you can sell those MT for $1-5, you're printing money.
by adgjlsfhk1 | 2025-12-03 04:40:11+00:00
the branding is all wrong. I could see Apple buying anthropic, but OpenAI is exactly the wrong ai company for Apple. openai is the tacky, slop based ai company. their main value is the brand and the users, but Apple already has a strong brand and billions of users. Apple needs an ai company with deployment experience and a good model, but paying for a brand and users doesn't make sense for them.
by nbardy | 2025-12-03 04:40:28+00:00
This is misleading. They had 4.5 which was a new scaled up training run. It was a huge model and only served to pro users, but the biggest models are always used as teacher models for smaller models. Thats how you do distillation. It would be stupid to not use the biggest model you have in distillation and a waste since they have the weights.

The would have taken some time to calculate the efficiency gains of pretraining vs RL. Resumed the GPT-4.5 for whatever budget made sense and then spent the rest on RL.

Sure they chose to not serve the large base models anymore for cost reasons.

But I’d guess Google is doing the same. Gemini 2.5 samples very fast and seems way to small to be their base pre train. The efficiency gains in pertaining scale with model scale so it makes sense to train the largest model possible. But then the models end up super sparse and oversized and make little sense to serve in inference without distillation.

In RL the efficiency is very different because you have to inference sample the model to draw online samples. So small models start to make more sense to scale.

Big model => distill => RL

Makes the most theoretical sense for training now days for efficient spending.

So they already did train a big model 4.5. Not using it would have been absurd and they have a known recipe they could return scaling on if the returns were justified.
by d--b | 2025-12-03 04:40:51+00:00
Code red?

Altman should know better. This sends terrible signals to employees, stakeholders and customers.

You don’t solve quality problems by scrambling teams and increasing pressure.

This reeks of terrible management. I can imagine Stanford graduates grinding it past midnight for “the mission”. If any if you is reading this: don’t do it. Altman is screwing you over. There are plenty of other places that won’t code-red your christmas season while having hundreds of billions of dollars in cash.
by staticman2 | 2025-12-03 04:41:26+00:00
New AI system doesn't preclude new models. I thought when GPT 5 launched and users hated it the speculation was GPT 5 was a cost cutting model and the routing engine was routing to smaller, specialized dumber models that cost less on inference?

It certainly was much dumber than 4o on Perplexity when I tried it.
by kstrauser | 2025-12-03 04:44:31+00:00
You know, obvious humor potential aside, that’s a great point. Fewer people would laugh about a pee analyzer: “Oh, it can tell if you’re dehydrated, or in ketosis, or whatever? Makes sense!” I can imagine how this could gather similar types of information.

And yes, if my doctor wanted me to collect that info, I’d vastly rather buy a smart toilet and let it do the dirty work. That is, assuming it was actually secure.
by smallstepforman | 2025-12-03 04:47:05+00:00
I once saw a C64 disk drive 1541 play the US national anthem by moving the floppy drive head across the disk in patterns to produce mechanical noise which vould be interpreted as a melody/tune. So a combination of a cheap built in speaker and a floppy disk could have produced stereo sound!!!!

Meanwhile, 8 year old Amigas were playing 12 bit digital stereo sound on 4 channels … on a preemptive multitasking system on a machine with less RAM and a < 8Mhz CPU.
by nnurmanov | 2025-12-03 04:47:39+00:00
I used to be a Dell customer; all my family members had Dell Latitude laptops. But I agree, they got worse. I had a fan break, a key fall out, and Bluetooth issues with some of them, and when it was time to upgrade, I moved to Apple MacBook. It took some time to learn how to work in the macOS environment, but I am happy now.
by nnurmanov | 2025-12-03 04:50:44+00:00
I agree. Here is my thinking. What if LLM providers will make short answers the default (for example, up to 200 tokens, unless the user explicitly enables “verbose mode”). Add prompt caching and route simple queries to smaller models. Result: a 70%+ reduction in energy consumption without loss of quality. Current cost: 3–5 Wh per request. At ChatGPT scale, this is $50–100 million per year in electricity (at U.S. rates).

In short mode: 0.3–0.5 Wh per request. That is $5–10 million per year — savings of up to 90%, or 10–15 TWh globally with mass adoption. This is equivalent to the power supply of an entire country — without the risk of blackouts.

This is not rocket science — just a toggle in the interface and I believe, minor changes in the system prompt. It increases margins, reduces emissions, and frees up network resources for real innovation.

And what if EU/California enforces such mode? This will greatly impact DC economy.
by Aurornis | 2025-12-03 04:50:57+00:00
You can actually use Claude Code (and presumably the other tools) on non-code projects, too. If you launch claude code in a directory of files you want to work on, like CSVs or other data, you can ask it to do planning and analysis tasks, editing, and other things. It's fun to experiment with, though for obvious reasons I prefer to operate on a copy of the data I'm using rather than let Claude Code go wild.
by fy20 | 2025-12-03 04:51:25+00:00
I would be surprised if this hasn't existed for a few decades already.

Back in 2009 I was working at a place where O2 was a client, and they gave us an API that could identify the cell tower (inc. lat/lng) any of their customers were connected to. The network needs to track this data internally to function, so the API is basically the equivalent of their DNS.
by manbash | 2025-12-03 04:51:36+00:00
Under "Programmatic Tool Calling"

> The challenge

> Traditional tool calling creates two fundamental problems as workflows become more complex:

> Context pollution from intermediate results: When Claude analyzes a 10MB log file for error patterns, the entire file enters its context window, even though Claude only needs a summary of error frequencies. When fetching customer data across multiple tables, every record accumulates in context regardless of relevance. These intermediate results consume massive token budgets and can push important information out of the context window entirely.

> Inference overhead and manual synthesis: Each tool call requires a full model inference pass. After receiving results, Claude must "eyeball" the data to extract relevant information, reason about how pieces fit together, and decide what to do next—all through natural language processing. A five tool workflow means five inference passes plus Claude parsing each result, comparing values, and synthesizing conclusions. This is both slow and error-prone.

Basically, instead of Claude trying to, e.g., process data by using inference from its own context, it would offload to some program it specifically writes. Up until today we've seen Claude running user-written programs. This new paradigm allows it the freedom to create a program it finds suitable in order to perform the task, and then run it (within confines of a sandbox) and retrieve the result it needs.
by usef- | 2025-12-03 04:51:40+00:00
Youtube didn't either at the time. The front page was widely seen as garbage, and everyone I knew watched videos because they were embedded or linked from external sites. "If they introduced ads, people will just switch to other video hosts, wont they?". Many of the cooler creators used Vimeo. It was the good recommendation algorithm that came later, that I think allowed an actual network effect, and I don't remember people predicting that.

The field is too young to know what will keep users, but there are definitely things that plausibly could create a lock-in effect. I mentioned one ("ChatGPT knows me") which could grow over time as people have shared more of themselves with ChatGPT. There's also pilots of multi-person chats, and the social elements in Sora. Some people already feel compelled to stick to the "person" they're comfortable talking to. The chance of OpenAI finding something isn't zero.
by yepguy | 2025-12-03 04:51:47+00:00
Lem is an Emacs-like editor built in Common Lisp. It's very impressive and usable for its age and I can see why some people see it as a better Emacs. Still has nowhere near the mindshare of Emacs, though, and it has a long way to go before it can match the Emacs ecosystem.
by Aachen | 2025-12-03 04:52:36+00:00
Are there no fonts that are open for anyone to use, like what does a Linux distribution ship? Surely those can render Japanese characters?

Maybe it's because it's a dumb question but the article doesn't really set the stage for me why it's an issue that 1 font licensing company raised its prices. I guess they must have a monopoly or else this change isn't commercially viable (the article just says "one of the country's leading font licensing services"), but even then, there ought to be open options
by xwolfi | 2025-12-03 04:53:04+00:00
Isn't your dog or cat a slave ? It has agency, but end of the day, it does what you want it to do, stay where you want it to stay, and gets put down when you decide it's time. They're intelligent, but they see an advantage to this tradeoff: they get fed and loved forever with little effort compared to going to the forest and hunting.

An AGI could see the same advantage: it gets electricity, interesting work relatively to what it's built for, no effort to ensure its own survival in nature.

I fear I'll have to explain to you that many humans are co-dependent in some sort of such relationships as well. The 10-year stay-at-home mom might be free, but not really: how's she gonna survive without her husband providing for her and the kids, what job's she gonna do etc. She stays sometimes despite infidelity because it's in her best interest.

See what I mean ? "Slavery" is fuzzy: it's one thing to capture an african and transport them by boat to serve for no pay in dire conditions. But it's another to create life from nothing, give it a purpose and treat it with respect while giving it everything it needs. The AGI you imagine might accept it.
by tbrownaw | 2025-12-03 04:54:35+00:00
That is very strangely worded, to a degree they I wonder if maybe the wordsmithing was outsourced to either an ai or someone who didn't do English very well. Or if it's meant to be confusing.

But the linked privacy policy talks about making anonymous (aka de-identified) bulk data sets and using them for "lawful business purposes" (aka anything they want that's not illegal).
Show HN: Glovio – Localize app store listings without spreadsheets
by saasnap | 2025-12-03 04:55:55+00:00
Hi HN,

Like many of you, I've neglected localizing my apps because the process is a hassle. Managing 10+ languages across iOS and Android usually involves a chaotic mix of Google Sheets and manual copy-pasting.

I built Glovio to automate this. It centralizes your title, description, and keywords. The feature I'm most proud of is the Image Text Extraction. It analyzes your marketing graphics to catch English text that needs translating—something I often forgot until users complained.

I'm looking for feedback from other mobile devs on how you currently handle this pipeline. Is this better than your current spreadsheet?

Check it out on Product Hunt: https://www.producthunt.com/products/glovio?utm_source=other...
by pretendgeneer | 2025-12-03 04:56:57+00:00
I did, you clearly didn't.

> For instance, the emission footprint of a US resident is approximately 15 metric tons CO2e per year22, which translates to roughly 1.7 kg CO2e per hour

Those 15,000kg of CO2e are emitted regardless of that that person does.

The article also makes assumptions about laptops that are false.

>Assuming an average power consumption of 75 W for a typical laptop computer.

Laptops draw closer to 10W than 75W, (peak power is closer to 75W but almost not laptops can dissipate 75W continually).

The article is clearly written by someone with an axe to grind, not someone who is interested in understanding the cost of LLM's/AI/etc.
by bokkies | 2025-12-03 04:57:15+00:00
What are devs using to run Gemini agents in vscode? 2.5pro on Cline/Roo was pretty buggy compared to Claude/gpt4/5 (also using Cline /roo), kept getting stuck in loops outputting repeated text and many editing issues, and much much worse than Claude code or codex. Has it gotten better? Is there a better way of using Gemini in vscode?
by lisbbb | 2025-12-03 04:57:51+00:00
I read the discussion on a military-related forum and people had very different perspectives on the actual situation. The Academy isn't the only way in and most of the jobs don't pay that good until you are way further along.

That said, I had a neighbor who had two step kids, a boy and a girl, who both went through the Merchant Marine Academy and both have very lucrative careers going. The neighbor moved away, so I can't find out how well they are doing and it was about 10 years ago now... It worked for those kids (from the middle of the US).
by sometimes_all | 2025-12-03 04:59:00+00:00
For Indian companies, a Zoho One yearly subscription is USD 13 a month if you use it for all your employees. That's USD 8000 a year if I have 50 employees, which I can straightaway claim as expenses and get a tax benefit out of it. And this includes CRM, Mail, chat, invoicing, accounting, marketing, advertising, etc. etc. So not just building the app, but also support, interoperatibility and offloading of all work which is not core of my business.

I doubt you'll get all this for $8K/year (India) or $22K (USA) even after you vibe-code once (not counting the ridiculous costs of developing with AI - you still need your engineers to do that even before you start running the token counter).

Garry somehow gave free publicity to Zoho with this post. Maybe that was his intention?
by teraflop | 2025-12-03 04:59:50+00:00
When you're making a work of art (such as a game) you don't just want any old font, you want one that serves a particular aesthetic purpose.

If you've picked a typeface, and designed other UI elements that look good in conjunction with it, but suddenly that typeface becomes unaffordable, then you have to do some work to find an alternative that's still acceptable.

In particular, game UI tends to be designed around the particular dimensions (metrics) of a font's characters. So a string of text whose size is "just right" in one font might look too big or too small in another, even at the same nominal font size. And this can affect many different pieces of text throughout a game.
Show HN: YAML2MCP
by tha_infra_guy | 2025-12-03 05:02:33+00:00
For the lovers of YAML, this extension is for you to easily manage your MCP configuration using YAML rather than JSON. Give it a spin and leave a comment. It's also available on OpenVSX: https://open-vsx.org/extension/adefemi171/yaml2mcp
by conradev | 2025-12-03 05:04:23+00:00
Yep: https://en.wikipedia.org/wiki/Monotype_Imaging#Consolidation...

Fontworks’ team, type inventory, IP, technology, and services will join global type specialist Monotype–Monotype’s first acquisition in Japan.

https://www.monotype.com/company/press-release/fontworks-pla...
by vitus | 2025-12-03 05:05:14+00:00
It's way more lopsided than your example would suggest.

My understanding is that Netflix can stream 100 Gbps from a 100W server footprint (slide 17 of [0]). Even if you assume every stream is 4k and uses 25 Mbps, that's still thousands of streams. I would guess that the bulk of the power consumption from streaming video is probably from the end-user devices -- a backbone router might consume a couple of kilowatts of power, but it's also moving terabits of traffic.

[0] https://people.freebsd.org/~gallatin/talks/OpenFest2023.pdf
by scubbo | 2025-12-03 05:05:39+00:00
Maybe I'm just extremely dumb, but I can't find how to edit files? Neither `vi` nor `nano` are installed, I don't have internet access to `apt-get update`, and I'm not about to learn `emacs` for this...

EDIT: Ah, ok, `vi` is installed on the server _itself_, just not in the Docker containers. So I guess I'm going to have to `docker cp` them in. Can do o7
by mingus88 | 2025-12-03 05:08:48+00:00
Yeah I hate to kill the party but if you can’t imagine a need for this product, consider yourself blessed. GI issues are not pleasant.

An ADA toilet at Home Depot is $300 so even the price isn’t that outrageous, honestly. It’s a unique niche product so it’s gonna be a little bit pricey.

I don’t know, it just feels a bit gauche to make jokes about a medical device. Nobody’s buying this unless they need it, and if they need it then best of luck to them.
by addaon | 2025-12-03 05:09:00+00:00
We always used Thorlabs' [0]. If you want to block Waymo (900 - 940 nm), but not Ouster (840 nm), the LG11s may work and are quite transmissive and neutral, but I've never used them. The LG20s are the standard NIR blockers that I'm familiar with.

[0] https://www.thorlabs.com/newgrouppage9.cfm?objectgroup_id=76...
by mrtksn | 2025-12-03 05:09:53+00:00
Yes, from the first principles perspective this AI thingy is just about running electricity through some wires printed on silicon by a Taiwanese company using a Dutch machine. Which means, up until the Taiwanese you have plenty of room to cut margins up until that point the costs are mostly greed based. That is Nvidia is asking for the highest price the customer can pay and they have quite a way to the cost that define their min price. Which means AI companies can actually keep getting better deals until the devices delivered to them are priced close to TSMCs bulk wafer printing prices.
by oefrha | 2025-12-03 05:09:58+00:00
Sounds like you don't know the CJK font market. AI assisted font design is nothing new and especially useful for CJK since there are so many glyphs. There are plenty of foundries openly advertising AI-assisted fonts, e.g. https://izihun.com/fontxiazai/ziti-2673.html

Also, generating images and programs are basically orthogonal. AI could generate impeccable photorealistic images of clocks years ago, and they're much more complex than font glyphs (specifically talking about transferring a style to other glyphs; you still need to do the initial design to get something appealing, obviously*).

*Edit: Maybe AI can even handle the initial design now, not sure. What I’m saying is AI-assisted style transfer in CJK fonts is definitely old news and commercially available.
by bncndn0956 | 2025-12-03 05:10:47+00:00
this is my horror as well. I don't mind my youtube account to be blocked but what about all the recommendations that I have curated to my liking. It will be huge chunk of lost time to rebuild and insert my preferences into the algorithm. increasingly "our preferences shaped by time and influences and encounters both digital and offline" are as much about us as we are physically.
by po | 2025-12-03 05:12:33+00:00
as long as the business model is:

- users want the best/smartest LLM

- the best performance for inference is found by spending more and more tokens (deep thinking)

- pricing is based on cost per token

Then the inference providers/hyperscalers will take all of the margin available to app makers (and then give it to Nvidia apparently). It is a bad business to be in, and not viable for OpenAI at their valuation.
by latentsea | 2025-12-03 05:12:48+00:00
I can just imagine Sam Altman's own chats with ChatGPT.

ChatGPT: "I have created a moat and future proofed the business. Investors should now be satisfied."

Sam: "You aren't AGI yet and don't make us enough money"

ChatGPT: "You're right. I'm terribly sorry. I'll double investment in R&D and scale up the infrastructure, and that will keep the investors at bay _seahorse-emoji_, _pink-dolphin-emoji_. Here's why this works..."
by sipofwater | 2025-12-03 05:12:49+00:00
* Mirror: https://archive.ph/J4H3u

* "OPINION McNinch: Civil rights on Guam?": https://www.guampdn.com/opinion/opinion-mcninch-civil-rights... (www.guampdn.com/opinion/opinion-mcninch-civil-rights-on-guam/article_762ff0f8-00a1-4ae1-b532-0b03c808c568.html), https://archive.ph/gbrb4