MurphyA/hacker-news huggingface dataset:
by to11mtm | 2025-08-09 03:37:28+00:00
The craziest thing is...

Intel could totally try to capture the LLM market 'bottom up' if they wanted to.

As an underdog in the GPU market, all they need to do is start by making cheap boards with lots of VRAM. I'm talking 32GB boards under 1k.

They don't have to be fast. They just have to take these bigger models into VRAM and be fast enough that it's better than dealing with normal CPU+RAM.

That gets them into the market, and then they can follow up with more expensive and 'enterprisey' silicon that is faster for the data centers.

Alas, that's probably too alien a thought for Intel, as they prefer that thick margin...
by AdieuToLogic | 2025-08-09 03:37:28+00:00
> Kinda. Except in OCaml this deficiency does not exist:

Named arguments are allowed only for methods, not for let-bound functions, function values, or lambda expressions.

True. They are different languages after all, sharing a common ancestor in ML[0] yet diverging for their own reasons.

Still, the original concern was identified thusly:

>> I do not understand how they could develop a language inspired by OCaml but not bring over labeled function arguments.

0 - https://en.wikipedia.org/wiki/ML_(programming_language)
by moomoo11 | 2025-08-09 03:37:46+00:00
You’re not wrong. However, it is possible I could have wasted time doing something, inevitably. At least Claude Code closes that gap significantly which is ultimately a huge net positive for me. Even if it makes silly mistakes. I ask it to ensure it has read my CLAUDE.md and understood the project structure as the first prompt when I do a task. Almost never fails anymore. I also have a 950 line CLAUDE.md that describes the system architecture and maybe put like 4 hours of work into that prompt.

Maybe I’m not elite human capital you might say. I’m sure you’ve written perfect code and have a 100% sales rate. Kidding but I’m sure you get it.

At worst I get some time foe personal life. At best I will save a ton of time.
by phirks | 2025-08-09 03:38:03+00:00
>Amazing project, but the font on the back of the card is gross.

>It sort of reminds me of those research professors that have received multiple awards and their website is an unstyled HTML page with 4 links

>If they used a sans-serif font then they would have nailed it

>this particular serif font was also a poor choice out of the variety of serif fonts out there

>that's awesome, but i think since it's a business card the text on the back should be more legible (nicer font and/or bigger)

Ok, for real though, can someone just tell me what font to use? We can all see this isn't my strong suit and now you're in my head.
by zoogeny | 2025-08-09 03:38:09+00:00
I would suspect that for the vast majority of use cases, using Redis as a rate-limiter is totally sufficient until major traffic is expected.

I mean, Redis isn't a replacement for WAF or some other CDN-like-soak (e.g. Cloudflare). But for basic APIs on authenticated CRUD apps with even 10s of millions of DAUs (maybe 10k concurrent users) - I think it is probably fine.

If you need something more than Redis for rate limiting, you'll know it. I prefer to keep it simple at the start.
by palmotea | 2025-08-09 03:38:30+00:00
> Open to proposals about how it could be done without significant downside.

That's a policy straitjacket: a demand that strategic and necessary things can be done only if there's no downside for some privileged group.

If the US doesn't want to be a weak-ass paper tiger, it needs the capability to mass-produce consumer electronics (a civilian capability that can be redirected for military purposes, if needed). That will likely require trade offs.

Let's employ fewer people in the sandwich-assembly industry and more people assembling electronics.
by lbhdc | 2025-08-09 03:39:09+00:00
I am using the smaller one, specifically the e2b-it flavor.

I get ~20-30 tok/sec. It's fast enough that its not frustrating, but if it were faster you could more easily skim as it generates.

I haven't done any serious testing. My process is typically learning about new models on HN or elsewhere, and trying to give them a real shake. I have some goto code generation prompts that I try on all of them. None succeed but they are getting close. I also do a lot of just feeling it out. The more I can use solutions unedited the better it feels.
by tomcam | 2025-08-09 03:39:35+00:00
Not sure if I missed this in the story, but the second incident started with the owner removing the battery. It was replaced by the joyrider. Here's what I don't get. Presumably the incident happened in the middle of the night? Did the joyrider carry an extra battery? Or did they take notes, purchase a battery the next day, and install it that night?
by Syzygies | 2025-08-09 03:41:22+00:00
And David Scott, commander of Apollo 15, was the technical consultant. As Ron Howard explained this to me, he sees reality as more interesting and detailed than any fiction. No one would grasp the details were correct, but he felt they would contribute an irreplaceable texture to the film.

I became the math consultant for A Beautiful Mind in part because I was such an Apollo 13 buff. In my first call with Todd Hallowell, the executive producer, we spent an hour's aside discussing Apollo 13. This actually was part of the interview: Making a movie is intensely boring unless you're really engaged, and I demonstrated the required interest in detail.
by stephenasuncion | 2025-08-09 03:41:23+00:00
Ever dreamed of launching your own ChatGPT-powered apps without writing a single line of code? Let me introduce you to Pickaxe, the no-code platform that feels like the Shopify of custom GPTs. Think storefront, but for AI tools.

Why Pickaxe Feels Like Shopify for ChatGPTs:

- No-Code Builder - White-Label & Embed - Monetize with Ease - User Management & Insights - and more!

Youtube Demo: https://www.youtube.com/watch?v=GP9cbC25xVQ
by kqr | 2025-08-09 03:44:45+00:00
Log-odds difference from contingency table: ln (4×11) - ln (1×8) = ln (44/8) = ln 5.5 ~= 2.3 × lg 5.5 ~= 2.3 × 0.75 = 1.75.

Standard error of log-odds difference: √(1/1 + 1/11 + 1/4 + 1/8) ~= √(1 + 0.09 + 0.25 + 0.13) = √(1.47) = 1.47^0.5 = 10^(0.5 × lg 1.47) ~= 10^(0.5 × 0.16) = 10^0.08 ~= 1.2.

The effect is 1.75/1.2 ~= 1.5 standard errors from zero, thus not significant by common thresholds. You would find Fisher's exact test in agreement, but I like the (vepry slow) party trick of doing this all in my head. Techniques:

- Poor man's logistic regression: https://entropicthoughts.com/contingency-table-for-poor-mans...

- Mental logarithms: https://entropicthoughts.com/learning-some-logarithms
by mlyle | 2025-08-09 03:45:04+00:00
> If the 700M users per week is legitimate then my question to you is: how many of those invocations are worth the cost of resources that are spent, in the name of things that are truly productive?

Is everything you spend resources on truly productive?

Who determines whether something is worth it? Is price/willingness of both parties to transact not an important factor?

I don't think ChatGPT can do most things I do. But it does eliminate drudgery.
by joules77 | 2025-08-09 03:46:24+00:00
Well its not a simple story. For example, your body and mind are built on top of non democratic society of a few trillion cells. Why trust it?

Freedom of speech and liberal democracies are not magic because there are blind spots to how they emerge (on the back of slavery/invasions/looting/repression etc)

How to make suggestions about development to anyone else if that has been the route to development in the first place?

Western Philosophers recognize and talk about this all the time. But ironically talking about it freely hasn't made any diff because the solutions are very uncomfortable to democractic societies - https://www.bostonreview.net/articles/the-violent-exhaustion...
by ofrzeta | 2025-08-09 03:47:00+00:00
I have an Amazfit smartwatch that gets charged by a simple USB cable with two pins that magnetically attaches to the back of the watch. When I was on vacation and forgot that cable I was able to make my own by cutting a USB cable and attaching the wires to the contacts of the watch with tape. That simplicity is hard to beat. And this watch is water resistant.
by nico | 2025-08-09 03:50:46+00:00
> Does the $20 subscription hold a similar bang for your buck as cursor?

Not sure about cursor. But if you want to use Claude Code daily for more than 2-3hrs/day, the $20 plan will feel limiting

In my experience, the $100 plan is pretty good, although you still run into the rate limits if you use it for a long time everyday (especially if you use Opus, which seems to run out in the first 30min of usage)
by darth_avocado | 2025-08-09 03:51:05+00:00
You can disagree all you want but the exact wording used in original comment that I responded to was

> Engineers have basically nothing to do with either of those.

The logic here is “If A is actively working to develop capabilities for B, which B offers up to C who then uses it to do D, then A cannot claim to have nothing to do with D.”
by jauntywundrkind | 2025-08-09 03:51:06+00:00
From the redis docs:

local current current = redis.call("incr",KEYS[1]) if current == 1 then redis.call("expire",KEYS[1],1) end

https://redis.io/docs/latest/commands/incr/

There's so many valid good & serious reasons why we are so scared, so afraid as engineers. The feeling that chaos grows in around us, the fear of opening doors to complexity we might not be able to return from.

But we also let ourselves be scared of so many ghost tales. Use some Lua! Go ahead! Maybe there are places where being afraid & limiting ourselves makes sense, but for 99% of people: some 'yes we can' attitude is amazing. We are the empowered capable doers, us engineers. Let it rip!

(I do also want a society respectful & deference to the massive complexity of the universe about us. Uncertainty abounds! But it should not be a cudgel.)
by Terr_ | 2025-08-09 03:51:31+00:00
I'd argue that's "underlying hidden authorial style" as opposed to what most people mean when they refer to the "personality" of the thing they were "chatting with."

Consider the implementation: There's document with "User: Open the pod bay doors, HAL" followed by an incomplete "HAL-9000: ", and the LLM is spun up to suggest what would "fit" to round out the document. Non-LLM code parses out HAL-9000's line and "performs" it at you across an internet connection.

Whatever answer you get, that "personality" is mostly from how the document(s) described HAL-9000 and similar characters, as opposed to a self-insert by the ego-less name-less algorithm that makes documents longer.
by xscott | 2025-08-09 03:51:50+00:00
> There are way too many variants of the same thing: records, classes, struct records, tuples, struct tuples etc, [...]

> At the end I went with Rust because it has one way of doing such stuff.

I haven't looked at C# in 20 years, but Rust certainly has a LOT of ways to do similar things too:

struct Foo { x: f64, y: f64 } // Struct struct Foo(f64, f64) // Tuple Struct let f = (1.0, 2.0) // Tuple enum U { Foo(f64, f64) } // Enum Tuple enum V { Foo { x: f64, y: f64 } } // Enum Struct [ 1.0, 2.0 ] // Size-2 Array &[ 1.0, 2.0 ] // Slice vec![1.0, 2.0] // Vec

Then possibly wrapping those in Rc, Arc, Gc, Box, Cow, Option, Result, RefCell, RefMut, Cell, OnceCell, LazyCell, UnsafeCell, Weak, and so on... that's a multiplicative product of possibilities. And you still need raw pointers for interop with C libraries.

Anyways, I haven't used Rust in a few years now either, and I'm sure I've made some mistakes and omissions above, but I don't remember it as the poster child for Python's "There should be one-- and preferably only one --obvious way to do it".
by mNovak | 2025-08-09 03:52:57+00:00
Really interesting to see the diffusion model solve the puzzles in an iterative way, which feels more similar to how I (and probably most humans) solve them.

Outwardly, it seems to be limited by unmasking too few tokens per round, even when the heatmap shows many more high-confidence guesses available. On some of the larger puzzles it looks like it's wasting many rounds filling in the 'obvious' shapes, and then gets the interesting bit in the last round. It also doesn't seem to have learned the idea of "the background is blue with shapes drawn on top," where background is often 50% of the solution in these puzzles.
by stonogo | 2025-08-09 03:53:08+00:00
Does it actually work in a meaningful way on any hardware? In my testing, it still discharges the battery at about the same rate as leaving the OS up and turning the screen off, where Linux is about on par with Windows. But I might have a laptop the devs don't have access to, so I'm just left unsure where (if anywhere) it works as intended.
by ignoramous | 2025-08-09 03:55:07+00:00
TFA goes

Gehman's colleague Melanie Prentice, also with the Hakai Institute and UBC, had begun reviewing the sequencing analysis. Scrolling through data on her laptop, an unmistakable pattern jumped out. Of the hundreds of microorganisms in the samples, enormous quantities of bacteria from the genus Vibrio seemed present in sick stars. The pattern was so strong, Prentice tells me, that she assumed she'd bungled the analysis.

I'm not familiar with sequencing much, but would feeding these to models similar to or purpose built like AlphaFold shorten the research time drastically [0]? If not, what other recent technological advancements do you reckon that'd help here? Thanks.

[0] Trying to make sense of the hype around some of these: https://fortune.com/2025/07/06/deepmind-isomorphic-labs-cure...
by Terr_ | 2025-08-09 03:56:36+00:00
That's not required.

For example, keep the same model, but change the early document (prompt) from stuff like "AcmeBot is a kind and helpful machine" to "AcmeBot revels in human suffering."

Users will say "AcmeBot's personality changed!" and they'll be half-right and half-wrong in the same way.
by craftkiller | 2025-08-09 03:56:47+00:00
The person you responded to has an AMD framework laptop, which means they can do 96 of ram if they want (some users report success with 128GB). The laptop you linked only goes up to 16GB of ram.

That laptop only has 256GB of storage whereas you can throw a 4TB m.2 ssd into the AMD framework if you want.

That laptop only has 2 USB type-c and they're both only 5Gbps (and one legacy USB port). The AMD 7040 framework has 2 USB4 40Gbps ports and 2 regular USB type-c 3.2 ports (and then the whole modular card system in front of those ports).

That laptop looks genuinely nice. With a few small tweaks I'd consider it. Though, in terms of personal preference I wouldn't want to do a chromebook again because of the annoyance of having to rebind the keys on every operating system I install (the pixelbook had the caps lock key bound to super and IIRC F11 was bound to something that doesn't exist on normal keyboards), and I'll never buy an oled screen for/in a computer.
Show HN: Launched a tiny tool: 2D → 3D logos. Looking for honest design feedback
by restorephotoiip | 2025-08-09 03:56:57+00:00
Right now it only does one job: turns a flat (2D) logo into a simple 3D version with basic lighting/material presets.

I’m not trying to pitch you — I genuinely want to shape this around what designers actually need for 3D logos. If links aren’t cool, mods please remove and I’ll add an Imgur album with examples instead.

What I’m hoping to learn from you: • In your current workflow, what’s annoying about making 3D logos (e.g., Illustrator → Blender/C4D)? Where does it usually break? • File I/O: which inputs/outputs matter most? (SVG, AI, PNG w/ alpha, GLB/GLTF, OBJ, USDZ for AR, MP4/GIF turntables) • Controls you’d expect: bevel radius/chamfer, extrusion depth, edge hardness, orthographic vs perspective camera, environment/HDRI choices? • Brand safety: any must-haves around color management (sRGB/ICC), neutral lighting, shadow control to keep colors on-brand? • Deliverables: do you usually need stills on multiple backgrounds, a quick turntable, transparent PNGs, or mockups (e.g., metal/foil/emboss on stationery)? • Type handling: should it handle live text → mesh cleanly, preserve sharp corners, and avoid “melted” edges? • Plugins/integrations: would a Figma/Illustrator plugin help (import SVG, tweak in 3D, export back)? • Performance limits: what’s a reasonable logo complexity/size, and would batch processing be useful? • Future ideas (tell me if any are worth it): AR preview (USDZ), preset material packs (matte/metallic/glass), animation templates, product mockups, auto lighting rigs.
by nullc | 2025-08-09 03:57:59+00:00
I have around a thousand broadwell cores in 4 socket systems that I got for ~nothing from these sorts of sources... pretty useful. (I mean, I guess literally nothing since I extracted the storage backplanes and sold them for more than the systems cost me). I try to run tasks in low power costs hours on zen3/4 unless it's gonna take weeks just running on those, and if it will I crank up the rest of the cores.

And 40 P40 GPUs that cost very little, which are a bit slow but with 24gb per gpu they're pretty useful for memory bandwidth bound tasks (and not horribly noncompetitive in terms of watts per TB/s).

Given highly variable time of day power it's also pretty useful to just get 2x the computing power (at low cost) and just run it during the low power cost periods.

So I think datacenter scrap is pretty useful.
by bastard_op | 2025-08-09 03:59:43+00:00
I started finally using gpt about 6mo ago a lot to do useful things, it finally came far enough along. One day I thought after one of Google's big hype sessions about Gemini I should check it out too.

So I was working with a customer and needed something done in powershell to extract some customer data, as I normally hate windoze and don't touch it as a linux person. I told gemini what I wanted and to make me a script. It started trying teach me how to program powershell.

After laughing to myself and trying nicely a few times just frigging do it and make me (sandwich) script, it literally said something akin to "I can't do that Dave". It simply would not make me a script, instead trying to force me to RTFM. If I wanted to do that, I would have taken a windoze powershell class.

I just kinda stared at it for a minute, thinking what the hell google was thinking lately. I was a google fan, I have google glasses (plural) to prove it. Then I went back to gpt and never looked at gemini again and laugh when I hear of it.

Sad how google has fallen.
by ofrzeta | 2025-08-09 03:59:48+00:00
> Every .NET project I've worked on in the last 15 years I could pull from the repo and build-and-run immediately. I can't really say that for almost any other platform.

Definitely not for any NPM project. At work when we didn't touch a project for half a year it was impossible to build due to some changes in dependencies. They require continuous maintenance.
by amy_petrik | 2025-08-09 04:00:01+00:00
some guy said something along the lines of "all we know is this is a space object, and it's trajectory, a 1 in 100 chance, is exactly the trajectory of AN ALIEN SPACESHIP ATTACKING EARTH!!!!"

I mean, really. Who is surprised it's an asteroids. How many times a year do we see space objects like this per year, 100 times? soooo like 1:100 chance and we see it 100 times a year. Hmmmm. Space alien scientist troll ought to study basic maths.
by benreesman | 2025-08-09 04:00:26+00:00
I'm torn on this, I was a fan of the project from the very beginning and never sent any of my stuff upstream, so I'm less than a contributor but more than don't care, and it's still non-obvious how the split happened.

But the takeaway is pretty clearly that `llama.cpp`, `GGML`/`GGUF`, and generally `ggerganov`'s single-handedly Carmacking it when everyone thought it was impossible is all the value. I think a lot of people made Docker containers with `ggml`/`gguf` in them and one was like "we can make this a business if we realllllly push it".

Ollama as a hobby project or even a serious OSS project? With a cordial upstream relationship and massive attribution labels everywhere? Sure. Maybe even as a commercial thing that has a massive "Wouldn't Be Possible Without" page for it's OSS core upstream.

But like: startup company for making money that's (to all appearances) completely out of reach for the principles to ever do without totally `cp -r && git commit` repeatedly? It's complicated, a lot of stuff starts as a fork and goes off in a very different direction, and I got kinda nauseous and stopped paying attention at some point, but near as I can tell they're still just copying all the stuff they can't figure out how to do themselves on an ongoing basis without resolving the upstream drama?

It's like, in bounds barely I guess. I can't point to it being "this is strictly against the rules or norms", but it's bending everything to the absolute limit. It's not a zone I'd want to spend a lot of time in.
by hakfoo | 2025-08-09 04:00:55+00:00
I have the feeling nobody knows what to do in terms of selling Ethernet for home use right now.

The moonshot efforts are around better Wi-Fi, which is, of course, at best a "good enough" solution that keeps people from running proper wires. But even as someone eager for hard-line networks, I wouldn't have good advice for a typical consumer.

If you run copper in your walls, you're really only good up to 10Gb and perhaps not even that. But if you want an optical-centric solution, that's an entirely new ecosystem that's a lot more complex. It's not just "buy a box of cable at the Home Depot and a crimp tool" anymore-- your devices might need 10GbE cards and SFP modules, you'll probably need some switches that still expose copper ports.

I wonder if there's a market for optical versions of the early "LAN in a box" kits that came with a couple of cheap ISA bus cards and a spool of cable-- just selling to people something that's all-inclusive and eliminates high-frustration mismatched parts.
by pm90 | 2025-08-09 04:01:14+00:00
There is absolutely no reason to believe that this is the only way to write “world class” software. I have bo reason to doubt that this worked for Mr. Carmack. And sometimes when there are product deadlines or production issues, it absolutely makes sense to work round the clock to fix. Sometimes you might even be in the zone and can’t think of anything else. But claiming that this is the only way is 100% Grade A BullShit.

Strive to have a balanced life and be extremely careful not to get burned out. Maintaining that joy for building things requires balance and perspective instead of slaving away your life.
by mradek | 2025-08-09 04:01:23+00:00
I would much rather just contribute to the AI directly. I am kind of tired having to use so many different tools. I don’t even want to login or authenticate with dozens or hundreds of them.

Why won’t these companies completely transform how we work/vibe by having everything go through the chat/voice ui? It should just work, for the end user.

I’d love to be an agnostic business analyst for OpenAI or Anthropic. Used to be a business analyst and I loved understanding as much about an industry or domain and then working with stakeholders to come up with solutions.

Imagine if there were teams of business analysts internally at these companies to build out that super app.. supply chain (procurement, resolutions, dispatch), partner management, customer support, calling someone video or voice, all my documents, everything I keep basically. I want to work and communicate with other people over it. It should just work. All work is communication between people right?
by nosioptar | 2025-08-09 04:03:49+00:00
Yeah, Apple's products are pretty long lived in my experience.

My '07 macbook lasted till 2020. It was almost as tough as any thinkpad I've had. My x220t, 2008ish, is still going. Both did damage to the hoods of a few cars.

Last I heard, my iPod nano from 20+ years ago is still being used daily. Only other portable music player I've had last that long was a Walkman.

I've got friends with old ass powerBooks that still get used frequently.