gundmc
gundmc on Hacker News
Well, Muse is essentially OpenClaw as a service for the general population so that tracks.
I thought it came from RLVR with poor sandboxing and not explicitly security testing.
There are numerous benchmarks that measure cost per task, which factors out tokens entirely. Gemini 3.8 flash is significantly lower than Sol on basically all of them
https://artificialanalysis.ai/#cost-tabs
That said, Luna is the undisputed king here at the moment and is what I use as my workhorse model.
Yes, I'm surprised there isn't more conversation around this being a way of the administration lashing out at Anthropic like they tried to do with the supply chain risk maneuver.
> Meta is going to surpass Google this year in revenue. I agree on the diversification front though
Meta might surpass Google on _digital advertising revenue_.
Google's overall revenue is still ~2x Meta's
In 20 years I expect basically all of these to move to web-based interfaces and away from thick clients. You're already seeing graphics heavy use cases like CAD do this (Onshape has been hugely popular and is cloud native on Linux). Even behemoths like SAP are increasingly web enabled through fiori.
The 5080 is 16GB VRAM, not system memory. I don't think you can get 24-32GB VRAM in a $500 box
Not on the same scale as AI, but my first ever AirBnB host still owns harley.com. He made his money writing "The Yellow Pages of the Internet" physical books and had turned down numerous lucrative offers from Harley Davidson.
Really fascinating and quirky guy as you can probably infer from the site.
Yes, I've been waiting for a real breakthrough with regard to 3D parametric models and I don't think think this is it. The proprietary nature of the major players (Creo, Solidworks, NX, etc) is a major drag. Sure there's STP, but there's too much design intent and feature loss there. I don't think OpenSCAD has the critical mass of mindshare or training data at this point, but maybe it's the best chance to force a change.
In this case it's not a direct duplicate of the link, but another post on the same topic. I find there is value in reading through the previous discussion that I may not have otherwise seen.
Gemini CLI is open source too, though I think the consensus is it's a distant third behind Claude Code and Codex
I've never experienced any of these on Caltrain in the last ~10 years, for what it's worth.
I find including "don't change anything else" in the NBP prompt goes a long way.
"If you show revenue, people will ask 'HOW MUCH?' and it will never be enough. The company that was the 100xer, the 1000xer is suddenly the 2x dog. But if you have NO revenue, you can say you're pre-revenue! You're a potential pure play... It's not about how much you earn, it's about how much you're worth. And who is worth the most? Companies that lose money!"
It's a Samsung product though
Do more than 20% of engineers really believe they'll be E6 at a FAANG by the time they're 37? I think most folks are more grounded than that.
Not surprising. Search and browsing history has been used as evidence for some time.
Seems like cool framework, but I'm bothered by the example image around having AI research and generate a blog post. This is exactly the sort of thing I don't want.
AFAIK geo-replication between regions _does_ replicate the entire dataset. It sounds like you're describing RAID configurations, which are common ways to provide redundancy and increased performance within a given disk array. They definitely do that too, but within a zone
It's not novel research, but I think it drives home the point that many narrow applications of AI do not require the largest, latest (and most expensive) models. And in many of those cases, a small fine-tuned model is the most performant and cost-effective.
It is probably obvious to most who follow the space closely, but you'd be surprised how many engineers don't recognize this.
This matches my experience exactly. I use a standard QWERTY setup on the moonlander, with only changes being the thumb clusters and changing caps lock to backspace. After a few days of practicing, it feels natural and seamless to switch back and forth.
Google doesn't sell data, they sell ads
Where did you get 10-20 cm? That sounds wildly off. Commercial lidar would get you to ~3-5 cm at 100 feet easily and Waymo's is said to be better than the commercially available units.
One of my favorite episodes! This immediately came to mind. I was due for a rewatch, thanks for linking.
Engineering-to-Order! Not all that uncommon of a model in some industries, but problems arise when Sales doesn't have good communication with Engineering about what is actually possible for what price on what timelines.
Yeah, you're right! The answer is definitely misleading at best. It would be better if the sentence "This method was a major component of a copyright lawsuit settlement that Anthropic paid in September 2025." was removed.
I'm sure this method _did_ come under discussion in the lawsuit & settlement, but as you pointed out the settlement itself was only about pirated works.
I agree, AI Mode is _very good_. But there's a huge branding and discovery problem in that 100% of the people I mention this to think I'm talking about the (error riddled) AI Overviews and have never heard of AI Mode.
I do probably 40% of my searches with AI Mode now. It can't possibly be profitable (and maybe that's why it's not more discoverable), but the results are awesome.
Edit: I also tried to show my aging parents how to use it, and it was inexplicably not available on their devices. They use old (10ish year) ios devices, which is apparently incompatible even though it's a web interface.
Getting totally lost in several different enterprise software implementations of MVC was a major contributor to my impostor syndrome early in my career. Glad to have some sort of vindication that I wasn't alone