Every Phoenix hand we make is calibrated in Sanctuary AI labs and put through a rigorous testing process before it is assigned to a robot.

Learn more at https://sanctuary.ai/

More videos: https://www.youtube.com/@sanctuaryai/videos

https://twitter.com/magicailabs/status/1666116935904292869?t=1tO5FhH7fpFVadfFdbiz-A&s=19

Meet LTM-1: LLM with 5,000,000 prompt tokens

That's ~500k lines of code or ~5k files, enough to fully cover most repositories.

LTM-1 is a prototype of a neural network architecture we designed for giant context windows.

NVIDIA used GPT-4 to create a autonomous AI agent that goes around Minecraft, explores and advances the tech tree.

The incredible thing here is that the bot writes scripts for itself that makes it better at playing the game. So if it meets a spider, it writes a script for how to kill that spider. Once that script is working, it adds that "skill" to it's "skill library". Over time it keeps advancing and developing better abilities.

It's skill library is also transferable to other AI agents like AutoGPT.

Here's a video overview:

https://youtu.be/7yI4yfYftfM

Here is the paper:

https://arxiv.org/abs/2305.16291

Here is the Open Source project if you want to try it, or contribute:

https://minedojo.org/

GPT-4 here is used as a sort of "reasoning engine". It decides on what to do in the game, but also it creates the code to make itself better and add new skills for it to use.

Another thing is GPT-4 doesn't have vision. All the data is fed into it through a text prompt.

It's told "you have a fishing rod, you are standing next to a river, and around you are blocks of sand, and a pig. What do you want to do?".

What does this mean for software developers?

It seems like GPT-4 can now autonomously create, test and optimize code. It decides on what it needs to do like:

"Craft 1 Stone Ax"

Then it writes the JavaScript code to make that happen, tests to make sure it's working and then adds it to a library that it can use later.

Can't this be applied to work tasks IRL?

Instead of "craft AX", make a script for "write Email".

Instead of "kill mob" make a script for "create excel sheet for the given data"

The U.S. military wants to fly aircraft piloted by artificial intelligence. A few months ago, it succeeded when an AI piloted a U.S. jet fighter over American airspace. It’s yet another sign artificial intelligence and autonomous aircraft are advancing at breakneck speeds.

The Pentagon already said the aerial dogfights of tomorrow will no doubt feature combined squadrons of manned and unmanned aircraft. If the U.S. hopes to win that future fight and maintain air dominance, the military needs civilian contractors to help develop the technology. In the 21st century, that means partnering with software companies to develop artificial intelligence as well.

Tate Buffington is in business development at one of those companies, Shield AI.

Full story: https://santv.co/3MNuBzM

Title was too long so here's the full title:

Sundar Pichai “We’re updating Bard with a new technique called implicit code execution. Now it runs code in the background when it detects computational prompts, improving the accuracy of word and math problems by ~30%.”

Our vision at IBM is to scale quantum systems to a size where they’ll be capable of solving the world’s most challenging problems. To get there, we’ve set our sights on a key milestone: deploying a quantum-centric supercomputer powered by 100,000 qubits by 2033.

Read more: https://research.ibm.com/blog/100k-qubit-supercomputer

The new wave of AI systems, ChatGPT and its more powerful successors, exhibit extraordinary capabilities across a broad swath of domains. In light of this, we discuss whether artificial INTELLIGENCE has arrived.

Paper available here: https://arxiv.org/abs/2303.12712 Video recorded at MIT on March 22nd, 2023