rubiquity

There isn't. I'm 15% body fat, eat healthy (avoid saturated fats, prioritize fiber), exercise 5-6 times per week, and have hypercholesterolemia. I, along with my parents, have very high LDL and ApoB and nothing I can do about it in terms of diet, exercise, or weight.

I'm also not uncommon. They suspect as much of 30% of the population could be like this. There's a lot of ignorance in this thread.

Heidi's more abstract work on generalizing consensus as grids/matrices of intersecting registers is geoemtric.

I think it's fair to say they had achieved product-market fit when their revenues were growing deep triple digits month over month. What we're seeing now is that perhaps they have achieved profitability or at the least a more sustainable balance sheet.

This was already known to be true by Heidi Howard’s research that yielded Flexible Paxos[0], Relaxed Paxos[1], and her more general thesis on Distributed consensus[2] as a whole

0 - https://fpaxos.github.io/

1 - https://dl.acm.org/doi/10.1145/3517209.3524040

2 - https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-935.pdf

AWS has CLIs and SDKs in many languages.

People laugh at this, myself included in the past, but it works. I remember scoffing at AWS partnering with Deloitte and Accenture over a decade ago. My exact thoughts were "Our technology is great, why do we need these people to sell it?", and it turns out that selling to enterprises at scale is a lot more like an American high school experience than anything else.

This is what I ended up doing. A 2.5G switch for the few devices that can use it and a 1Gbit+PoE switch for all the other PoE and 1Gbit and less devices.

I use Pi at home and Claude Code at work (no choice). I use bone stock Pi. No extensions.

You should try it out. I'm incredibly impressed with Qwen 3.5 27B for systems programming work. I use Opus and Sonnet at work and Qwen 3.x at home for fun and barely notice a difference given that systems programming work needs careful guidance for any model currently. I don't try to one shot landing pages or whatever.

At 8-bit quantization (q8_0) I get 20 tokens per second on a Radeon R9700.

Wouldn’t Cursor agreeing to such a deal be almost ironclad proof they are subsidizing tokens/inference out the ass? There’s wide speculation all the large revenue growing companies right now are selling inference at break even or a loss.

Are the mainboards and upgrade kits available for purchase now or just the whole laptop?

edit: I think I found it: https://frame.work/products/laptop13pro-mainboard-intel-ultr...

He doesn't work at Vercel but he is the type to never pass up any opportunity to chase clout.

I have both HW3 (2021 Y) and HW4 (2025 3). FSD in the HW4 is a delight. FSD in HW3 phantom brakes constantly both back when FSD was a pile of C++ and now with the "Lite" driving model. I don't see how Tesla can ever make FSD suitable on HW3 given the hardware (<200 TOPS).

You are right that it is an environment variable, and that's how I have it set in my nix config. Thanks for correcting that.

Unfortunately llama.cpp is somewhat notorious for having lackluster docs. Most of the CLI tools don't even tell you what they are for.

Have you tried running llama.cpp with Unified Memory Access[1] so your iGPU can seamlessly grab some of the RAM? The environment variable is prefixed with CUDA but this is not CUDA specific. It made a pretty significant difference (> 40% tg/s) on my Ryzen 7840U laptop.

1 - https://github.com/ggml-org/llama.cpp/blob/master/docs/build...

Not sure why you're being downvoted, I guess it's because how your reply is worded. Anyway, Qwen3.7 35B-A3B should have intelligence on par with a 10.25B parameter model so yes Qwen3.5 27B is going to outperform it still in terms of quality of output, especially for long horizon tasks.

Could be on a bike path where bikes are on the left and pedestrians to the right.

All Microsoft services are for entertainment purposes only, as in you’d have to be absolutely crazy enough to use before a Microsoft sales rep has taken your execs to a steakhouse and strip club.

The optionality of consuming services from places other than internet titans for one would be nice.

I was distracted by the picture of the ingredients to a Final Ward being at the top of the page.

I did not know that. Thanks for sharing!

llama.cpp and llama-swap do this better than Ollama and with far more control.

This is great to hear! Out of curiosity, which brand did you go with? I tend to stick to Sapphire but the prices are within $200 of each other.

Dogs are undefeated at reinforcement learning.

The scrapers should use some discretion. There are some rather obvious optimizations. Content that is not changing is less likely to change in the future.

If you’d like the opposite of this story: I was reversing out of a parking spot. I had moved about 2 feet and a drunk driver hit and ran my vehicle. The driver was charged by police because driving at 40mph and hitting cars in a shopping center in broad daylight got a lot of attention.

I gave the video footage from my car to local police and insurance company and the insurance companies ruled I was at fault because I was in reverse.

Local AI sounds nice but most of Apple’s PCs and other devices don’t come with enough RAM for a decent price needed for good model performance and macOS itself is incredibly bloated.

I find it more likely that the entire "second" level of software companies are in OpenAI's cross hairs more so than Google. Salesforce, ServiceNow, Intuit, DocuSign, Adobe, Workday, Atlassian, and countless others are easier to pick off than Google.

Networking leaving the cloud provider (or even just to another zone on the same cloud) is $0.02 GB. That adds up real fast.