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so yeah I plug the fly brain data to simulate an autonomous driving model for Skypad, the viral Philippine transport vehicle real fly wiring + simulated neurons + assisted avoidance meet flypad autonomous driving cooked using openclaude harness with Astra

Kevin

13,730 subscribers

16,403 次观看 • 4 天前 •via X (Twitter)

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15 条评论

BIGCOOKS 😈| 個黑人的中國男性的头像

BIGCOOKS 😈| 個黑人的中國男性4 天前

any plans for this ? We saw you buying the coin? 0x97221df4de771b9f8b31b6177f8af1858becea76

底部筹码 | Golden.S 的头像

底部筹码 | Golden.S4 天前

0x97221df4de771b9f8b31b6177f8af1858becea76 Sir, I see you purchased this token, and it's still on your own platform. What are your plans?

Kevin 的头像

Kevin4 天前

This experiment runs 166,700 modeled neurons connected by measured fruit-fly wiring. Its driver-view image stimulates sensory neurons, and two neural readouts contribute to steering. Authored driving assistance predicts the pedestrians and blockers, follows the road, and adjusts steering and speed. It can brake and reverse if needed. The fly’s neural output remains an input to that controller. People and limbs use authored animation.

Kevin 的头像

Kevin4 天前

Technical details of the Skypad experiment 🪰🇵🇭 • Neural graph: 166,700 retained neurons, 25,582,938 directed weighted connections, representing 124,177,617 synaptic contacts from MaleCNS v1.0. These are our imported graph totals. The wiring includes brain and ventral nerve cord. • Dynamics: approximate leaky integrate-and-fire neurons, simulated locally with Python + a native C++ CPU kernel. Integration timestep: 0.1 ms. Membrane/synaptic time constants: 20/5 ms. Transmission delay: 1.8 ms. • Vision: a dedicated 64×48 driver camera supplies luminance to 3,335 mapped R1–R6 visual neurons. This uses an approximate retinal mapping. The spectator camera does not affect neural input. • Control loop: every 50 ms (20 Hz), the retained neural graph advances and an engineered decoder converts left/right DNp20 spike rates into a steering signal. • Assistance: hand-coded software handles road following, obstacle avoidance, speed, braking and recovery. It has direct access to road/obstacle geometry and evaluates 10 candidate lateral offsets over a 3-second horizon. The neural steering term added to road-following steering is capped at ±0.05 radians (~2.9°). • Vehicle/world: Three.js rendering, simplified planar bicycle dynamics, assisted upright balance, a 270 m road, 10 animated pedestrians and 10 blockers. • Recorded result: 254.813 m in 60 simulated seconds, 19 encounters cleared, zero modeled collisions. Recording took 63.129 seconds on the development machine. • Verification: saved validation reproduced neural spike-count hashes and decoded controls for all 1,200 intervals on the original platform. Neural-input interventions changed the assisted trajectory. This demonstrates measured fly wiring with approximate neural dynamics contributing to assisted driving. No training, reinforcement learning or synaptic plasticity is used. Avoidance skill comes from the software assistance. The video replays a recorded closed-loop run.

农民的头像

农民4 天前

have token can support?

农民的头像

农民4 天前

how support it

Bernadette 的头像

Bernadette4 天前

The saging in the cart is so funny

Kevin 的头像

Kevin4 天前

😂😂😂

Bernadette 的头像

Bernadette4 天前

The neighborhood is giving Bulacan or Cavite vibe haha

Secretpika (1 ETH era) 的头像

Secretpika (1 ETH era)4 天前

fuk look another oen @BennyInHerBag pinoy spotted LMEOW

David ⚠️ 的头像

David ⚠️4 天前

Wild stack — fly connectome → control signal → Three.js vehicle loop. We’re on the other side of browser 3D with agents that live in the scene, not only scenes that simulate biology. Different problem, same bet that spatial runtimes matter.

Beyong 的头像

Beyong4 天前

🔥🔥🔥

Kevin 的头像

Kevin4 天前

theres a lot we can on this fly simulations, this could be a good game or something

Oxdirss 的头像

Oxdirss4 天前

哇哦第一只会骑摩托车的苍蝇？税给作者

DiFors 的头像

DiFors4 天前

@off_god_off cought a fly too

相关视频

THE FLY BRAIN ESCAPED THE COMPUTER. I PUT IT INSIDE A PHYSICAL ROBOT. Scientists released a reconstructed map containing 166,700 neurons from a fruit fly. I connected it to a Strandbeest. The panel in the top-right shows the simulated brain running. Its neural activity is translated into motor commands that move the mechanical legs below. The catch: this is a computational model built from biological wiring. I engineered the interface connecting its outputs to the robot. First, the fly brain entered DOOM. Then it played Chrome Dino. Now it has a physical body. 166,700 neurons. 25 million connections. One nervous system walking through the real world.

THE FLY BRAIN ESCAPED THE COMPUTER. I PUT IT INSIDE A PHYSICAL ROBOT. Scientists released a reconstructed map containing 166,700 neurons from a fruit fly. I connected it to a Strandbeest. The panel in the top-right shows the simulated brain running. Its neural activity is translated into motor commands that move the mechanical legs below. The catch: this is a computational model built from biological wiring. I engineered the interface connecting its outputs to the robot. First, the fly brain entered DOOM. Then it played Chrome Dino. Now it has a physical body. 166,700 neurons. 25 million connections. One nervous system walking through the real world.

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21,258 次观看 • 12 天前

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99,581 次观看 • 3 天前

.Kyle Conner makes some good points that the Cybercab is (obviously) designed for autonomous driving, and not manual driving: "It would be kind of bad to drive because you have massive A-pillars. The windshield doesn't come up very high. You sit way too far back, so clearly this is not designed to be a driven vehicle. I thought maybe the early ones would ship with a steering wheel. You're not driving this thing with A-pillars like that."

.Kyle Conner makes some good points that the Cybercab is (obviously) designed for autonomous driving, and not manual driving: "It would be kind of bad to drive because you have massive A-pillars. The windshield doesn't come up very high. You sit way too far back, so clearly this is not designed to be a driven vehicle. I thought maybe the early ones would ship with a steering wheel. You're not driving this thing with A-pillars like that."

Sawyer Merritt

548,656 次观看 • 5 个月前

For the first time ever, a fruit fly brain has been trained to launch a memecoin. Not "AI inspired by a brain" — the real connectome. 165,122 neurons, 10,228,000 synaptic connections, every one traced from an actual male Drosophila by electron microscopy. Janelia FlyEM + Google Research, released CC-BY. How it works: Screenshots of the live launchpad go in through 892 retinotopic hex columns into L1 and L2 — the neurons sitting directly behind a fly's photoreceptors. All 165,122 integrate. The cursor comes back out of the descending neurons a fly actually walks with: DNa02's left-right asymmetry steers, DNa01 drives forward, DNp09 clicks. The wiring is never trained. Only synaptic gains — you don't get to invent connections the fly doesn't have. Proof its eye is doing real work: in light mode it filled 0 of 3 form fields. In dark mode, 2 of 3. Its retina is a luminance map, so invert the contrast and it goes blind. And the honest split: the fly types the description and the ticker. The rig does the name, the pair and the tax. CA: 0x4eb990547bce4a982432ca88cf5fae7eed1a2d35

For the first time ever, a fruit fly brain has been trained to launch a memecoin. Not "AI inspired by a brain" — the real connectome. 165,122 neurons, 10,228,000 synaptic connections, every one traced from an actual male Drosophila by electron microscopy. Janelia FlyEM + Google Research, released CC-BY. How it works: Screenshots of the live launchpad go in through 892 retinotopic hex columns into L1 and L2 — the neurons sitting directly behind a fly's photoreceptors. All 165,122 integrate. The cursor comes back out of the descending neurons a fly actually walks with: DNa02's left-right asymmetry steers, DNa01 drives forward, DNp09 clicks. The wiring is never trained. Only synaptic gains — you don't get to invent connections the fly doesn't have. Proof its eye is doing real work: in light mode it filled 0 of 3 form fields. In dark mode, 2 of 3. Its retina is a luminance map, so invert the contrast and it goes blind. And the honest split: the fly types the description and the ticker. The rig does the name, the pair and the tax. CA: 0x4eb990547bce4a982432ca88cf5fae7eed1a2d35

Fruit fly dev

756,578 次观看 • 5 天前

1/ BREAKING – DePIN's Biggest New Deal: Valeo x NATIX Network with Alireza Ghods Host: Connor Lovely 🎬 We discuss: - Why a $3B, Fortune 500 company wants Natix data - What is a World Foundational Model? - Why autonomous driving needs synthetic data Timestamps: 00:00 - Introduction 01:14 - Updates on VX360 and Data Sales 02:09 - Vision Language Model and Its Applications 04:39 - Importance of Diverse Data for World Models 06:20 - Details on the Valeo Deal 08:15 - Use Cases and Future Plans for World Models 10:45 - Synthetic Data and Real-World Applications 19:37 - Future of Physical AI and Autonomous Driving 23:51 - Conclusion Watch on other platforms below ⬇️

1/ BREAKING – DePIN's Biggest New Deal: Valeo x NATIX Network with Alireza Ghods Host: Connor Lovely 🎬 We discuss: - Why a $3B, Fortune 500 company wants Natix data - What is a World Foundational Model? - Why autonomous driving needs synthetic data Timestamps: 00:00 - Introduction 01:14 - Updates on VX360 and Data Sales 02:09 - Vision Language Model and Its Applications 04:39 - Importance of Diverse Data for World Models 06:20 - Details on the Valeo Deal 08:15 - Use Cases and Future Plans for World Models 10:45 - Synthetic Data and Real-World Applications 19:37 - Future of Physical AI and Autonomous Driving 23:51 - Conclusion Watch on other platforms below ⬇️

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11,869 次观看 • 7 个月前