What is OpenAI’s super-secret Project Q*? | About That

A breakthrough in artificial intelligence at OpenAI preceded former CEO Sam Altman's firing and was part of a list of the board's grievances, according to sources cited in a Reuters report. Andrew Chang explains what we know about the AI technology referred to as Q*, and also breaks down the gap between current AI technology and "human" intelligence.

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[johnpereira]

An outstanding segment. Bravo to Andrew Chang and CBC! This is potentially one of the most important topics facing humanity.

[thenoblerot]

This is the best AI related coverage ive seen from mass media in a quite a while. Well done CBC

[theShadeslayer]

Never seen him before, but Mr. Chang is such an excellent speaker, I'm blown away!

[needforanonymity]

This is what we want to see from CBC, excellent coverage!

[matthewmarkjohnson]

they've got something that can do recursive self-improvment and it putting out some crazy stuff... the implications for sciences and tech are mindblowing!

[Letsdothework]

Extremely well done from a product manager in the AI space 👏🏻

I’ll be sharing this video with my non-technical teammates

[pikiwiki]

Super clear, clean and articulate. So good

[paulbrandon]

Andrew Chang is a superb presenter. His relaxed, unselfconscious, natural presentation style is very effective in explaining complex Issues as it allows the viewer to focus almost exclusively on the topic at hand and not be distracted by the quirks displayed by so many other media personalities.

[MrErick]

Amazing video. You should do more of these vids. Super informative and well explained!

[rudycaya]

Even if they did not achieve AGI, one day soon they will and we need as a society to start figuring a lot of issues that we have to face. It will change everything, politics, economic systems health, there is not a single aspect of society and life that will not be touched by it. Let’s start paying attention.

[universal_handle]

Thank you for simultaneously dumbing it down and diving in deep (DiDaDiD?)!! This was a powerful presentation.

[raghuram]

Maybe I'm missing something here. Regarding the whole "math is tough" part, why can't CHATGPT talk to a calculator to get the right answer? Just like Google search would do, However complicated the arithmetic question might be.

[TheForestGlade]

Excellent video, great explanation! I sure understand the excitement about this, but it seems to be a logical step in the development of AI. After all, if AGI is the goal then they seem to be on the right track. I don't see the end of the world in this.

[roldanduarteholguin]

Export the Q*, Chat GPT, Revit, Plant 3D, Civil 3D, Inventor, ENGI file of the Building or Refinery to Excel, prepare Budget 1 and export it to COBRA. Prepare Budget 2 and export it to Microsoft Project. Solve the problems of Overallocated Resources, Planning Problems, prepare the Budget 3 with which the construction of the Building or the Refinery is going to be quoted.

[hershseth]

Q* emerges from the process of reinforcement learning algorithms, particularly those like Q-learning or Deep Q Networks (DQN). It's derived iteratively through these algorithms as they explore and update their estimations of the optimal action-values based on experiences gained while interacting with an environment.

[DurrellRobinson]

After the singularity we'll still be here in the comments being terrible

[blaiseutube]

Canadians are lucky to have services like this.

[mamdouh-Tawadros]

The fear from AI is the knowledge that the military are the first to implement it, plans and strategies made on demand. We will know that we have gone too far.

[hemnathmouli]

If you ask GPT-4, it has the ability to do math problems without having to predict -- meaning it writes code and runs it to get the result.

[haxstir]

Slime mould can solve mazes in the most efficient way possible. Not only that but once it has "learnt" a maze if you take a portion of that slime and mix it with a larger amount of slime mould that hasn't been exposed to the maze, that slime mould through genetic osmosis from the sample finds its way through the maze with the same efficiency as the mould that "learnt". So slime mould can be smarter than certain types of AI.