bfirsh

Here's a script to install and configure, in case it's helpful for anyone's dotfiles: https://github.com/bfirsh/dotfiles/blob/48eff70daa754216eff9...

I got the idea of writing an emulator in JavaScript in the pre-Chrome era, circa 2007. I remember searching around trying to find whether somebody had done it before. It seemed not, and somebody on a forum declared “that’s not possible”.

To me, it was obviously possible, and I was determined to prove them wrong.

Anyway, this now exists because of that: https://github.com/bfirsh/jsnes

Whenever I read about it, I am surprised at the complexity of iOS security. At the hardware level, kernel level, all the various types of sandboxing.

Is this duct tape over historical architectural decisions that assumed trust? Could we design something with less complexity if we designed it from scratch? Are there any operating systems that are designed this way?

Free usage usually goes in sales and marketing. It's effectively a cost of acquiring a customer. This also means it is considered an operating expense rather than a cost of goods sold and doesn't impact your gross margin.

Compute in R&D will be only training and development. Compute for inference will go under COGS. COGS is not reported here but can probably be, um, inferred by filling in the gaps on the income statement.

(Source: I run an inference company.)

Founder of Replicate here. We should be on par or faster for all the top models. e.g. we have the fastest FLUX[dev]: https://artificialanalysis.ai/text-to-image/model-family/flu...

If something's not as fast let me know and we can fix it. [email protected]

Replicate (YC W20) | San Francisco, CA + Remote | https://replicate.com/

Replicate makes it easy to run AI in the cloud. You can run a big library of open source models with a few lines of code, or deploy your own models at scale.

We're an experienced team from Spotify, Docker, GitHub, Heroku, NVIDIA, and various other places. We're backed by a16z, Sequoia, NVIDIA, Andrej Karpathy, Dylan Field, Guillermo Rauch.

We're hiring:

- An infrastructure engineer

- A machine learning engineer who's an expert at image models

- An engineer who likes talking to people to look after our customers

... and more: https://replicate.com/about

You're right -- this wasn't clear. Added another paragraph to explain what you had to do before.

I can confirm these are dangerous. There are several of these in Berkeley and I got knocked off my bicycle on one of them for exactly the reason you describe.

I am from the UK and it makes me wonder why road design in the US is so bad. Just one minute of thinking about this as a lay person would reveal the problem with the design.

Is there some structural reason in the US that would cause it? Perhaps some lack of standards or approval process? Perhaps iteration speed is slower so they don’t get better? Some other incentives going on?

https://replicate.com/yorickvp/llava-13b :)

Replicate (YC W20) | San Francisco, CA + Remote | https://replicate.com/

Replicate makes it easy to run AI in the cloud. You can run a big library of open source models with a few lines of code, or deploy your own models at scale.

We're an experienced team from Spotify, Docker, GitHub, Heroku, Apple, and various other places. We're backed by a16z, Sequoia, Andrej Karpathy, Dylan Field, Guillermo Rauch.

We're hiring:

- An infrastructure engineer

- An expert at deploying and optimizing language models

- An engineer who is good at humans to look after our customers

... and more: https://replicate.com/about#join-us

Email us: [email protected]

If you want to have a conversation with it, here's a full chat app: https://arctic.streamlit.app/

Official blog post: https://www.snowflake.com/blog/arctic-open-efficient-foundat...

Weights: https://huggingface.co/Snowflake/snowflake-arctic-instruct

Indeed – I was doing the editorialization in the comments. ;)

It's missing the name though (Arctic). That might be worth adding.

It might not be obvious from the title, but this model is absolutely massive: 480B parameters. The largest open-source model to date, I believe.

You can try it out here: https://arctic.streamlit.app/

Weights are here: https://huggingface.co/Snowflake/snowflake-arctic-instruct

We've got an API out here: https://replicate.com/blog/run-llama-3-with-an-api

You can also chat with it here: https://llama3.replicate.dev/

Oops you're absolutely right. "Boot" ambiguously meant "setup" there. Fix deploying!

Founder of Replicate here. Our cold boots do suck (see my other comment), but you aren't charged for the boot time on Replicate, just the time that your `setup()` function runs.

Incentives are aligned for us to make it better. :)