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Matt Henderson

@matthen2 • 80,427 subscribers

maths, visualisations, conversational AI. VP Research @polyaivoice prev: @RekaAILabs, @Apple AI/ML, @GoogleAI, PhD @Cambridge_Eng

Shorts

returning to deepdream in the times of LLMs here I am using gemma 4 e4b, starting from a random image and optimizing its pixels to maximise the probability gemma captions them as a fantasy map with mountains, rivers, and castles actual AI art 😅

returning to deepdream in the times of LLMs here I am using gemma 4 e4b, starting from a random image and optimizing its pixels to maximise the probability gemma captions them as a fantasy map with mountains, rivers, and castles actual AI art 😅

31,109 次观看

what if there was one chicken, with the same mass as all the world's chickens combined? it would be about 1.2km tall. what about one ant from all ant species? one cow? one human?

what if there was one chicken, with the same mass as all the world's chickens combined? it would be about 1.2km tall. what about one ant from all ant species? one cow? one human?

61,763 次观看

uniform random noise + band-pass filter =

uniform random noise + band-pass filter =

34,280 次观看

I have joined Reka, which today comes out of stealth to announce its Series A. It is an amazing group of people, with a convincing vision for the future of large generative models.

I have joined Reka, which today comes out of stealth to announce its Series A. It is an amazing group of people, with a convincing vision for the future of large generative models.

27,455 次观看

Videos

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what is a multimodal LLM thinking as it watches a video? Gemma 4 12B reads raw image patches, as if they were tokens. It was never trained to predict anything at these 'tokens' - but this video shows what it would predict if you did sample from its next token prediction head

what is a multimodal LLM thinking as it watches a video? Gemma 4 12B reads raw image patches, as if they were tokens. It was never trained to predict anything at these 'tokens' - but this video shows what it would predict if you did sample from its next token prediction head

148,284 次观看 • 1 天前

to tell if a maze is solvable, just hang it by its corners! The first maze stays in one piece, so there is no path from the entrance at the top to the exit at the bottom. The second maze splits apart along the solution.

to tell if a maze is solvable, just hang it by its corners! The first maze stays in one piece, so there is no path from the entrance at the top to the exit at the bottom. The second maze splits apart along the solution.

3,381,683 次观看 • 3 年前

need to find the greatest common divisor of two numbers? just fold them on top of each other until you can't any more!

need to find the greatest common divisor of two numbers? just fold them on top of each other until you can't any more!

317,671 次观看 • 5 个月前

one easy way to make a simulation of falling sand piling up- just define what happens for all 16 possible 2x2 grids, and repeatedly apply these rules to the picture

one easy way to make a simulation of falling sand piling up- just define what happens for all 16 possible 2x2 grids, and repeatedly apply these rules to the picture

1,038,316 次观看 • 2 年前

a version 1 QR code with maximum error correction can store 7 bytes. That’s 2⁵⁶ possible codes. Here are the first 1,043 of them-

a version 1 QR code with maximum error correction can store 7 bytes. That’s 2⁵⁶ possible codes. Here are the first 1,043 of them-

175,230 次观看 • 5 个月前

an exponential curve looks identical anywhere along the x axis- so long as you stretch the y axis accordingly

an exponential curve looks identical anywhere along the x axis- so long as you stretch the y axis accordingly

566,786 次观看 • 2 年前

can you see the spinning dodecahedron? pause the video and it disappears

can you see the spinning dodecahedron? pause the video and it disappears

269,181 次观看 • 2 年前

can a neural network learn to walk as a physical object in a physics simulation? here I train walking neural nets with an evolutionary algorithm. The input nodes/feet are activated by sine waves at learned phases & connections between two neurons extend based on their difference

can a neural network learn to walk as a physical object in a physics simulation? here I train walking neural nets with an evolutionary algorithm. The input nodes/feet are activated by sine waves at learned phases & connections between two neurons extend based on their difference

339,220 次观看 • 3 年前

hello world in python... using a genetic algorithm

hello world in python... using a genetic algorithm

195,943 次观看 • 2 年前

Minesweeper, but on the new Einstein tiles

Minesweeper, but on the new Einstein tiles

241,244 次观看 • 3 年前

a fun way to draw a picture from the digits of pi, made from circular arcs. draw an arc that goes 3/10 of the way around the circle. Now flip the circle over and continue the curve by drawing another arc 1/10 around, 4/10, 1, 5, 9 etc. following the digits of pi

a fun way to draw a picture from the digits of pi, made from circular arcs. draw an arc that goes 3/10 of the way around the circle. Now flip the circle over and continue the curve by drawing another arc 1/10 around, 4/10, 1, 5, 9 etc. following the digits of pi

186,825 次观看 • 2 年前

playing with ways to visualize the factorization of numbers

playing with ways to visualize the factorization of numbers

176,449 次观看 • 3 年前

which sorting algorithm keeps up with constant random updates best? at every second in this animation, a random item is taken (blue), and its value is changed

which sorting algorithm keeps up with constant random updates best? at every second in this animation, a random item is taken (blue), and its value is changed

82,620 次观看 • 1 年前

a physics simulation, but using pennies for atoms. Whenever a subgroup of 'atoms' reaches the value of a higher denomination, it may be spontaneously replaced. There is a low of 'conservation of value'

a physics simulation, but using pennies for atoms. Whenever a subgroup of 'atoms' reaches the value of a higher denomination, it may be spontaneously replaced. There is a low of 'conservation of value'

23,099 次观看 • 2 年前

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