Sir! the bad actor seems to have put itself online and eliminated the good one!

‘Hey, I know nothing about what I’m saying but…’

Thanks, good pointer. I am particularly interested in the different mechanisms how the embeddings might be integrated into LMs. E.g. in PaLI and SimVLM, the external embeddings (here image encodings) are simply treated as token embeddings. Others use modified attention mechanisms to potentially make better use of the information. Are you aware of a work that directly compares multiple integration mechanisms?

I would love to see comparison of these models on some common tasks.

This is the 3rd project I've seen like this today. Here's the others if you're curious. https://www.chatbase.co/ www.wrotescan.com

Interesting! I guess if you’re a well know academic you can get away with that, but the rest of us need to know how to code

Thx for advice, after careful research I agree with you.

Congrats guys! Brilliant idea! Go ahead with it!

The fact that you think that you don't need those rules in place for the beta boggles my mind.

You may even be legally liable for not having them, but IANAL so I'll just suggest maybe you should consult one.

As a way of being exposed to other players in the field it does matter. Some of the best and most effective examples may be nestled away under someone(s) less known or someone relatively known that just isn’t getting the press that only the most obvious examples are currently getting.

Edit - typo

Does it matter?

The situation is so busy & so fluid ... and shrouded too ... that we can have no real idea.

Also, the situation could be totally different in a year or so.

Let's just slap what's effectively a reskinned version of ChatGPT in a sidebar is certainly a choice ...

I like how this might be the spark that gets Product Management and UX at-large to finally start understanding how to work with ML-based functionality in their products. However, I think we're going to look back and facepalm at a lot of design decisions we see over the next 6-ish months as companies rush to get something (anything) out the door faster than their competitors.

We completely understand your concern. Our tool is currently in beta. We have definitely planned strict data privacy and handling rules after we launch.

Sounds like a wonderful idea to upload all my company documents to some unknown, unsecured, third party that totally won't abuse that information down the road.

my boss during my internship at FB (now meta) came from academia and was a professor at one of the well-known uni, literally didn't write a single line of code during my 3 months there, all I/we (most of the team) got were scribbled notes written during our weekly meetings on what to implement...

In this case it's really just the money.

Wu Dao 2 seem like a total beast 🤯

The problem is I have no idea how much data I'll need.

Take it from someone who learned C++ first, start with python. You are actually very unlikely to get an interview in C++. The industry standard is Python. Know your algorithms and data structure well enough to do the intermediate level questions on hackerrank and you’ll be in good shape

I’ve been working in ML for 8 years and I’ve never seen or heard of a scientist being hired without at least one coding interview. Never seen someone just “write down an algorithm” and hand it off to an engineer. I would really like to hear where you saw this because it’s no where near my experience at big tech companies.

Meh, I think the safety concerns are overblown. It's really more of bad PR for Microsoft than an actual threat.

You can already find out how to make drugs, build a bomb, etc from the internet. The Anarchist Cookbook has been well-known for decades and you can find a pdf with a simple google search.

Go listen to the podcast and Ian explains it all. Plus no Schmidhuber was NOT the inventor. It was Ian.

Go listen to the podcast and get back to me.

The key AI R&D from the last decade plus has all come from Google. Not from OpenAI and most definitely not from Microsoft.

A quote from the Verge liveblog:

>This is an important part of the presentation, but I just want to note that Microsoft is having to carefully explain how its new search engine will be prevented from helping to plan school shootings.
>
>"Early red teaming showed that the model could help plan attacks" on things like schools. "We don't want to aid in illegal activity." So the model is used to act as a bad actor to test the model itself.

The safety system proposed sounds interesting but given how simple prompt engineering attacks still work on ChatGPT, I'm not feeling optimistic about how well this will work out in the real world.

And then he travelled back in time to go write that paper at U.Montreal ?

Anyways, Schmidhuber was the real inventor ;-)

Leader in the space?... It is starting to irk me to see so many articles and discussions about this "AI war" between OpenAI and Google and their respective chatbots. OpenAI's main chatbot is GPT3, Google has LaMDA among many others. One thing for sure, they are both large and perform differently depending on the metric used.

Companies such as Facebook, Google, NVIDA, and Chinese ones like Baidu, ect. all heavily invest in AI research. The contribution of these research scientists nation and worldwide are all noteworthy and build on eachother. Google employs far more research scientists than OpenAI, and the volume of ML publications and impact factor of these publications altogether is therefore greater. Deepmind, an AI research subsidiary of Google, has been a leader in AI research and deep learning for many years.

but to directly answer your question, and for what it's worth, I would say NASA is the leader in space. Honestly your question is vague and poorly defined and you shouldn't equate chatbots to their companies.