ya3r

This means potentially all of OpenAI code/docs/slack that this person had access to was already leaked before this sloppy act of bugging the conference room.

Telegram secure chat messages do this by default.

Are we aware of any attacks (or claims of attacks) against any previous version of the iPhone's Lockdown mode?

The regular copilot, copilot.microsoft.com

Have you seen Microsoft's copilot? It is essentially free openai models

Maybe relevant blogpost is https://devblogs.microsoft.com/python/python-311-faster-cpyt... dated Oct 2022. The team behind this and some other recent improvements to Python are at Microsoft.

Bicycle by Bartosz Ciechanowski: https://ciechanow.ski/bicycle/ - HN post: https://news.ycombinator.com/item?id=35343495

Bartosz has many great blog posts, maybe most famously the one on mechanical watches published in 2022: https://ciechanow.ski/mechanical-watch/

HN posts for Bartosz's blog: https://news.ycombinator.com/from?site=ciechanow.ski

> "As a reminder, there is not a single LLM on the market today that is not vulnerable to prompt injection ... And by and large, companies don't really seem to care."

So far from the truth. I know that there are entire teams that specifically work on prompt injection prevention using various techniques inside companies like Microsoft and Google. Companies do care a lot.

It only works, if it consistently works. And it only doesn't work, if you tried it consistently and it didn't work.

tqdm is really great. (Also great name BTW) It has a lot of features like cli, jupter notebook widget, flexibility, etc.

I have been using it for 4-5 years now.

> Based on our research and findings, we assess this to be one of the most technically sophisticated exploits we've ever seen, further demonstrating that the capabilities NSO provides rival those previously thought to be accessible to only a handful of nation states.

> Using over 70,000 segment commands defining logical bit operations, they define a small computer architecture with features such as registers and a full 64-bit adder and comparator which they use to search memory and perform arithmetic operations. It's not as fast as Javascript, but it's fundamentally computationally equivalent.

They create an emulated computer by decompressing an old image format inside a PDF file which has a .gif extension! That is top notch!

Definitely a thing.

Regarding the cost, it might be more than "some paperwork".

Nat was a great CEO. The best that could have happened to Github after the acquisition IMO.

The one time that I won't forget about Github under Nat, was when they stood up for Iranian developers [1]. They went the extra distance to get a permission/license from the US government specially to offer full Github to developers from Iran. Many other companies didn't do something similar.

[1]: https://github.blog/2021-01-05-advancing-developer-freedom-g...

After the new name fails to make any significant difference, they will try new CEO.

Technically speaking, this does not prove that an adversarial attack is possible on the CSAM system of apple, Given that apple has another not released neural hash system on their servers which is potentially larger and works better than the one on device.

The more interesting technical question for me is: do collisions transfer across models? or how to find collisions that transfer across models?

I really like the fastai abstractions and their attention to detail. Also their callbacks are amazing. I always look at their implementations for inspiration.

But my main issue with it is the code formatting (https://docs.fast.ai/dev/style.html#layout). Maybe I am too used to PEP-8 and black (https://github.com/psf/black) formatted code, but honestly I cannot stand the code format.

This reminds me of this great video: https://www.youtube.com/watch?v=iHzzSao6ypE

First off, as many know, this is not a single incident. This has happened to many of us (including me) from "sanctioned" countries. (I am from Iran, but live in Germany)

But this makes me think. Many of the services I use are from US companies. Most notable are: Gmail (Google Drive, Google Calendar, etc.), Github, Dropbox, Trello and Toggl. Should I be worried? Should I actually start switching away from these services before they close my accounts and remove all my data without notice?

Convex Optimization by Stephen Boyd.

https://lagunita.stanford.edu/courses/Engineering/CVX101/Win...

I have used similar setups in Sublime Text for Python development, the main issue is instability and inefficiency. Installing these set of packages in sublime makes things slower and more unstable.

Multiple times while editing large files my editor would slow down or crash.

One thing which is missing is a "model zoo", a place where people share models (usually well-known) pre-trained, which is very useful for starting to use a framework.

Although this repo https://github.com/baidu/paddle_paddle_model_zoo, suggests they might be working on one.

In my field (Computer Vision/Machine Learning) newest research papers usually get into arXiv before getting accepted in any conferences. So I try to keep up with the arxiv's rss of this field.

Further more I follow other people interested in this field on twitter/google +/facebook, some of which are researchers in this field.

Moreover when a major conference's program is released I try to look into the proceedings.

You are right. I watched them on youtube.

The videos have very poor quality. The talks don't contain recording of the slides.

IMHO the only one worth watching and actually is interesting is the discussion panel.

I guess this (switching from Torch to other deep learning libraries) will become a trend as deep learning have become more mainstream in tech companies. I say Facebook, Twitter and others who use Torch (I don't know of any others actually), will move away from torch gradually. Unless the Torch community steps its game up.

This method achieves a new state of the art performance on ILSVRC2012 top-5 with 3.46%.