Jensen Huang
speaker
453 appearances
1 recordings
1 series
first heard Jul 2026
last heard 27 Jul
Jensen Huang’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
Where's the input, where's the output?
Where are information coming from?
What is the rate of information flowing in and out of the system?
What are the constraints?
And so, is it processor, is it memory, is it networking?
And so understanding these systems problems at a sufficiently technical level is going to be very helpful to all of the people in this room.
And I don't think that that way of, that fundamental knowledge is ever going to be useless.
I think it's going to be more and more useful.
And so I try to understand systems the best I can.
One of the things, speaking of agents, the fact of the matter is we kind of have course-level recursive self-improvement already.
And the fact that every time you use it, it improves the markdown files.
Every time you use it, it updates its long-term memory, and the long-term memory is being processed, either compacted or turned into knowledge graphs or so on and so forth.
It's being improved all the time asynchronously.
The agent's getting smarter and smarter every time.
Still, the problem is, and this is one of the problems that I think would be helpful for everybody to solve, is how can we have very, very specific fine-grained control?
If not for rags, if not for conditional inputs, if not for all of our prompts directly into output was too coarse.
And so the fact that we can condition, the fact that we can control the agents, all the way down to eventually, when it comes up with a plan, I change one word in a plan file, and that one word makes a delta difference.
Not complete difference, but specific difference.
Maybe it's one pixel, maybe it's one triangle, maybe it's one component in a CAD file, maybe one layer, one via, one connection, and then it regenerates everything else.
I think that that level of control and that level of collaboration with agents will be game changing.
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