MurphyA/hacker-news huggingface dataset:
by bumby | 2025-07-01 17:11:52+00:00
Maybe I’m misunderstanding your point, but TCO factors in the upfront cost, including financing assumptions. I can’t think of a good reason why you’d want to disregard upfront cost when calculating TCO; it’s probably the #1 determining factor for most people buying a car. (And not to belabor the point, but the original claim was about TCO).

I’m not sure I would use the 25+ life because that doesn’t reflect how long a person will keep it. The depreciation captured by the TCO is a better representation of that effect.
by mystified5016 | 2025-07-01 17:11:54+00:00
IME, it's sort of like the difference between C and C#.

Kotlin is incredibly expressive and can get quite complicated. Java is a bit more brutally simple (and obviously more verbose).

As a C# dev primarily, I love Kotlin, and I've always hated Java despite it being the very first language I learned.

I wouldn't call Kotlin simple by any stretch of the imagination. It's just a very high-level language.
by sargstuff | 2025-07-01 17:12:00+00:00
Finding (Note: where data from & terms of use!) : general search engine search on "publically available data for " <insert topics/areas of interest aka computer science>

> ... building my own data processing pipeline from scratch and honestly this is a bit of a pain.

Yup, only thing really changed over years is more ways to access data / volume of data / faster ways to process data.
by yencabulator | 2025-07-01 17:12:24+00:00
> Language can exist entirely independently from senses and cognition.

Helen Keller begs to disagree. Language and cognition were clearly linked for her.

> It wasn't until April 5, 1887, when Anne took Helen to an old pump house, that Helen finally understood that everything has a name. Sullivan put Helen’s hand under the stream and began spelling “w-a-t-e-r” into her palm, first slowly, then more quickly.

> Keller later wrote in her autobiography, “As the cool stream gushed over one hand she spelled into the other the word water, first slowly, then rapidly. I stood still, my whole attention fixed upon the motions of her fingers. Suddenly I felt a misty consciousness as of something forgotten–-a thrill of returning thought; and somehow the mystery of language was revealed to me. I knew then that ‘w-a-t-e-r’ meant the wonderful cool something that was flowing over my hand. That living word awakened my soul, gave it light, hope, joy, set it free! There were barriers still, it is true, but barriers that could in time be swept away.”
by moooo99 | 2025-07-01 17:12:42+00:00
> The real question is; has your girlfriend stopped using teams since finding out how slow it is?

That is the neat part. Teams, Slack and some other applications within that realm aren't actually something that we're choosing to use. It usually is something that is imposed onto us by the organization you're working for. With discord the effect is different, but the consequence is the same. Network effects basically force you to be on Discord.

At least in my department, Microsoft Teams is universally hated by everyone (that's only n=60). But we don't really have a choice in using it and we never had a say in the matter when the software was bought. With teams especially, it's basically an open secret that Teams is frequently only bought because its basically packaged in with an Microsoft 363 subscription.

And because of how software like this is imposed, I don't think the size of the user base serves as a good proxy to judge how well liked a piece of software is, at least in the enterprise space. For B2C apps, the effect may be less strong to non existent, but I would argue that the network effects of some apps can act as a similarly strong force.
by MajorIncident | 2025-07-01 17:12:51+00:00
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Show HN: Claude Code Agent Farm
by eigenvalue | 2025-07-01 17:13:01+00:00
Claude Code Agent Farm is a powerful orchestration framework that runs multiple Claude Code (cc) sessions in parallel to systematically improve your codebase. It supports multiple technology stacks and workflow types, allowing teams of AI agents to work together on large-scale code improvements.

Key Features

Parallel Processing: Run 20+ Claude Code agents simultaneously (up to 50 with max_agents config) Multiple Workflows: Bug fixing, best practices implementation, or coordinated multi-agent development Agent Coordination: Advanced lock-based system prevents conflicts between parallel agents Multi-Stack Support: 34 technology stacks including Next.js, Python, Rust, Go, Java, Angular, Flutter, C++, and more Smart Monitoring: Real-time dashboard showing agent status and progress Auto-Recovery: Automatically restarts agents when needed Progress Tracking: Git commits and structured progress documents Highly Configurable: JSON configs with variable substitution Flexible Viewing: Multiple tmux viewing modes Safe Operation: Automatic settings backup/restore, file locking, atomic operations Development Setup: 24 integrated tool installation scripts for complete environments
Show HN: Arch-Router – 1.5B model for LLM routing by preferences, not benchmarks
by adilhafeez | 2025-07-01 17:13:11+00:00
Hi HN — we're the team behind Arch (https://github.com/katanemo/archgw), an open-source proxy for LLMs written in Rust. Today we're releasing Arch-Router (https://huggingface.co/katanemo/Arch-Router-1.5B), a 1.5B router model for preference-based routing, now integrated into the proxy. As teams integrate multiple LLMs - each with different strengths, styles, or cost/latency profiles — routing the right prompt to the right model becomes a critical part of the application design. But it's still an open problem. Most routing systems fall into two camps:

- Embedding-based routers use intent classifiers — label a prompt as “support,” “SQL,” or “math,” then route to a matching model. This works for simple tasks but breaks down in real conversations. Users shift topics mid-conversation, task boundaries blur, and product changes require retraining classifiers.

- Performance-based routers pick models based on benchmarks like MMLU or MT-Bench, or based on latency or cost curves. But benchmarks often miss what matters in production: domain-specific quality or subjective preferences like “Will legal accept this clause?”

Arch-Router takes a different approach: route by preferences written in plain language. You write rules like “contract clauses → GPT-4o” or “quick travel tips → Gemini Flash.” The router maps the prompt (and conversation context) to those rules using a lightweight 1.5B autoregressive model. No retraining, no fragile if/else chains. We built this with input from teams at Twilio and Atlassian. It handles intent drift, supports multi-turn conversations, and lets you swap in or out models with a one-line change to the routing policy. Full details are in our paper (https://arxiv.org/abs/2506.16655), but here's a snapshot:

Specs:

- 1.5B params — runs on a single GPU (or CPU for testing)

- No retraining needed — point it at any mix of LLMs

- Cost and latency aware — route heavy tasks to expensive models, light tasks to faster/cheaper ones

- Outperforms larger closed models on our conversational routing benchmarks (details in the paper)

Links:

- Arch Proxy (open source): https://github.com/katanemo/archgw

- Model + code: https://huggingface.co/katanemo/Arch-Router-1.5B

- Paper: https://arxiv.org/abs/2506.16655
by MakerSam | 2025-07-01 17:13:41+00:00
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by runjake | 2025-07-01 17:13:45+00:00
1. I don't think I'd use it. It feels too much like using an app to meditate. But it's a neat app.

2. What's up with the scrolling strikethroughed social media networks up at the top.

Aside: I've occasionally done "Be able to do 100 pushups" challenges. Nobody else's plans has worked for me.

What's always worked for me is stacking pushups. If I start and can do only 5 pushups comfortably, then I do 5 pushups at a time throughout the day. Say, 3 - 4 times a day to start. Then move to stacks of 10 throughout the day. When I get up to doing stacks of about 40, I can bang out 100 pushups. If I start and can only do 1 pushup (healed injuries, out of shape, etc) then I'll start a stack of 1 pushup.

I somewhat adopted this from my military days. It's worked remarkably well for me and I can from doing say, 2-3 pushups and get to 100 pushups in about 4 weeks. YMMV.
by kevlened | 2025-07-01 17:13:49+00:00
I contributed ~$30 during both experiments. The most interesting aspect was seeing which sites consumed most of the spend. It also felt good to see the contribution to smaller sites.

Paying for my own ads felt similar to shopping at a local bookstore: I paid extra for the culture I wanted to see. There's a market for it, but, you're right, it probably wasn't big enough to justify its existence at Google.
by toast0 | 2025-07-01 17:14:28+00:00
A quick look around says commercially available bill counters count around 1000 bills per minute. Low cost counters have batch sizes of around 200 bills. Larger capacity counters are available.

Assuming the process keeps a single counter running continuously, it would be 1000 minutes, not quite 17 hours of work to do a single pass counting with one counter. There's a maintenance interval though. Some of the counters will scan serial numbers, so you could probably confirm you saw 1 Million distinct serial numbers while scanning. Multiple counters in parallel would reduce the wall clock time, of course. And you might want to do multiple counts, sometimes bills stick.

You could also count the number of straps and take a random sample to count. While counting the straps, you'd probably notice any grossly miscounted straps. If any of the sampled straps are wrong, you would presumably increase the sample rate to confirm. Weighing groups of 10 straps is probably faster than counting, but I don't know how sensitive it would be (depends on how consistent weights of the strapping material is, as well as weight of circulated bills).
by shados | 2025-07-01 17:14:30+00:00
Yup, but Article 3 point 2.a has a fairly strict definition, where for an entity outside of the US to be considered as "offering service" to EU members requires some kind of strict ties. The de facto examples is offering a product by specifically mentioning payment in Euro, or having presence on an domain with a top level TLD of a member state. If there's no ties that shows the offering is made to EU members, it doesn't apply.

Very very little tie is required (eg: just having one employee in the EU in a 50,000 people org would do it right there), but the law has been fairly consistently interpreted as such.

I get where you're coming from, but this isn't a if or but or theoretical. Its just how GDPR gets applied. I probably confused things by trying to introduce poor analogies, when the law itself is fairly clearly interpreted a specific way.
by ringeryless | 2025-07-01 17:14:55+00:00
This article reads more like a trance traveler of 2 decades ago gone pop. Kho Pangan, meeting up with like-minded friends from around the world and just partying, basically, but with a 21st century instagram twist.

While one will certainly find plenty of community among well off folk and deliberate dropouts, it is distinctly an enclave community that risks the wrath of locals, were it not for the money such tourists bring.

OTOH, if you move to a party place on a permanent basis, you find another level of connection, and find yourself annoyed with the clueless noobs.

Every generation has such folk, it's just that modern job practices permit those from other economic classes to join, vs the necessity of being independently funded if you just took off to follow Osho back in the 80s or something.
by tmaly | 2025-07-01 17:15:59+00:00
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by sundaypancakes | 2025-07-01 17:16:23+00:00
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by lenerdenator | 2025-07-01 17:16:35+00:00
Right now we're doing a lot of architectural stuff in the big lifts surrounding design patterns and stuff that perhaps junior devs might not understand as well.

We're doing more of the latter suggestion, though that is coming with more "reviewer's burnout". We are trying to deal with it through smaller PRs, but then of course, you fall back to the problem of having more of them.
by marcodiego | 2025-07-01 17:18:52+00:00
I remember an interview with Kasparov. He said something, I don't remember exactly... It was something like "The skills chess develops are very important for... playing chess"; as a way to say "if you're good in chess, that doesn't mean you're particularly smart or good in other areas too".

As someone who played chess competitively in my childhood and teens, chess helped me a lot about concentration, problem solving and decision taking. I also learned to win and lose and to have respect for other people due to the competition.

As a teacher in my adulthood, I was extremely impressed by knowing a high rated player that was very weak student, especially in logic.

I now agree deeply with Kasparov about the importance of the skills chess develops.
by Nelkins | 2025-07-01 17:19:37+00:00
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by pavel_lishin | 2025-07-01 17:19:39+00:00
> This paper discusses the use of solar system-based lasers to push large lightsail spacecraft over interstellar distances. The laser power system uses a 1000-km-diam. lightweight Fresnel zone lens that is capable of focusing laser light over interstellar distances. A one-way interstellar flyby probe mission uses a 1000 kg (1-metric-ton), 3.6-km-diam. lightsail accelerated at 0.36 m/s2 by a 65-GW laser system to 11% of the speed of light (0.11 c), flying by a Centauri after 40 years of travel. A rendezvous mission uses a 71-metric-ton, 30-km diam. payload sail surrounded by a 710-metric-ton, ring-shaped decelerator sail with a 100-km outer diam. The two are launched together at an acceleration of 0.05 m/s2 by a 7.2-TW laser system until they reach a coast velocity of 0.21 c. As they approach a Centauri, the inner payload sail detaches from the ring sail and turns its reflective surface to face the ring sail. A 26-TW laser beam from the solar system, focused by the Fresnel lens, strikes the heavier ring sail, accelerating it past a Centauri. The curved surface of the ring sail focuses the laser light back onto the payload sail, slowing it to a halt in the a Centauri system after a mission time of 41 years. The third mission uses a three-stage sail for a roundtrip manned exploration of e Eridani at 10.8 light years distance.

Very cool.
by astrobe_ | 2025-07-01 17:19:52+00:00
I wouldn't call that a side effect, because it is most likely a must-have feature and plants were selectively pressured on that (although I know some plants or trees have red to dark red leaves).

But yes. Logically, things have a natural color. Then animals progressively acquired the ability to distinguish colors because it was advantageous - for instance to spot a naturally brown yummy insect on a naturally green leaf.

From there, one can imagine an amplification or reinforcement process induced by co-evolution: plants take advantage of the fact that animals can see colors, animals take advantage of the fact that healthy plant produce fruits of a specific color. It eventually turned into an armed race at times: TFA opens with the example of a blue belly lizard, but one cannot help but think about chameleons.

It was probably unavoidable as soon as something like a photo-sensitive cell appeared. And it is also probably the same thing with perceptions that are less obvious to us, such as odors, sounds, or vibrations (other than of air or water - although I wouldn't be surprised if hearing evolved from that point).
by stego-tech | 2025-07-01 17:21:23+00:00
Your deliberate misconstruing of my argument to support a point I wasn’t remotely making undermines your entire comment.

Expected or required labor that is not compensated is, well, slavery. Labor that is freely given without expectation of compensation or reward is volunteerism.

Trying to guilt open source projects into addressing security, regulatory, or feature concerns under some sort “digital supply chain” label without compensating them for their time or labor is a form of entitlement on the part of companies who could easily pay for the resources they consume or contribute the fixes themselves, but choose not to. Demanding said labor without compensation, with or without threat of consequences, is to demand the other party willfully submit to a form of enslavement or servitude.

I’m specifically talking about “digital supply chain” labels and logistics being applied to Open Source projects without their consent or compensation. You don’t get to magic up some excuse to not call the demand for free labor without compensation as anything other than what it actually is.
by bill_duckduckgo | 2025-07-01 17:21:49+00:00
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by mrhillsman | 2025-07-01 17:21:53+00:00
Hi everyone,

After working on something related for some months now I would like to put it out there based on the considerable attention being put towards "context engineering". I am proposing the *Context Window Architecture (CWA)* – a conceptual reference architecture to bring engineering discipline to LLM prompt construction. Would love for others to participate and provide feedback. A reference implementation where CWA is used in a real-world/pragmatic scenario could be great to tease out more regarding context engineering and if CWA is useful. Additionally I am no expert by far so feedback and collaboration would be awesome.

Blog post: https://mrhillsman.com/posts/context-engineering-realized-co...

Proposal via Google Doc: https://docs.google.com/document/d/1qR9qa00eW8ud0x7yoP2XicH3...