we managed to create a thought synthesizer using math and people think of it as diminishing the significance of humanity rather than an unfathomably beautiful achievement
I’m sure that pressuring the current admin to treat the current primary engine of economic growth with the same urgency which they applied to tariffs and immigration and the Iranian fissile material stockpile will go fine and have no chaotic, difficult to predict effects
@this_is_silvia i can get any combination to work but it's hard to track as the arrows go around the sides, my brain just wants them to go the same direction
This photo of Earth is EXTRA spectacular for a good reason... let me explain. Most images you see of Earth from space are the daylight side of the Earth, and it's obviously very bright (see my last image), this means stars are too dim to be seen with that bright exposure setting (low ISO, high shutter and / or stopped down aperture).
BUT this image taken by the Orion crew looks so incredible because you can see the sun is BEHIND the earth, meaning it's night time on the side of the earth facing the crew in this image.
So how do you expose a night time earth from space? Same way you do on Earth! A mixture of opening up the aperture (F4 in this case), cranking the ISO (51,200 here), and using a relatively long exposure (1/4 of a second). We can see the settings used by looking at the exif data from the camera. What this means is our camera is also sensitive enough to see stars in the background of Earth, leading to an extraordinary image!!! GREAT WORK!!! These are the kind of images I've been so excited to see!
your finger press over ~10 ms closes a switch in a keyboard matrix, during which ~10¹³ electrons flow through pull-up resistors and scan circuitry. Firmware encodes the event, and a microcontroller emits a USB or Bluetooth HID report of a few dozen bytes.
the OS services an interrupt in a few us, maps scan codes to characters, and updates 10²~10³ bytes of state in DRAM, stored as charge from ~10⁸ electrons on capacitors refreshed every ~60 ms.
your browser constructs an HTTPS request of 1~5 kB, which the TCP/IP stack segments into ~1.5 kB payloads matched to the Ethernet MTU. These drive a network interface with SerDes operating at a few GHz, shoving 10⁶~10⁸ electrons per bit.
electrical signals propagate a few cm across copper traces, then drive optical transceivers where electrons jump a semiconductor bandgap to emit 10⁶~10⁸ photons per bit at telecom wavelengths. These photons traverse access, metro, and backbone networks, undergoing a dozen electrical <-> optical conversions at endpoints and regeneration sites.
these photons might further go through hundreds to thousands of kilometers of fiber, amplified every ~100 km by erbium-doped fiber amplifiers via stimulated emission, wavelength-routed by ROADMs, might even bounce off google's MEMS optical circuit switches a few times, and eventually reconverted to electrons by photodiodes at termination and routing boundaries.
at the data center, packets are reassembled and delivered to inference servers where GPUs perform matrix multiplications involving ~10¹² model parameters over milliseconds, with transistors toggling at 10¹⁶~10¹⁷ times per second.
those parameters were produced earlier by training runs lasting weeks to months, using ~10⁴ accelerators drawing who knows how many megawatts of power, shoving 10³⁰~10³³ electrons through transistor channels for the 10²³~10²⁵ floating-point operations.
the inference result is serialized into kilobytes of data and transmitted back through the same chain, again undergoing repeated electrical - optical - electrical conversions across access, metro, and backbone networks.
back on your phone or laptop or whatever, the browser parses the response, updates layout and rendering structures, and issues GPU draw calls that write millions of pixels per frame into a framebuffer at 60~120 Hz.
display interfaces stream multiple gigabits per second to an OLED or microLED panel, where the pixels emit roughly 10⁸~10¹¹ visible photons per frame, driven by ~microamp currents over ~microsecond switching intervals.
those photons traverse a few meters in nanoseconds, absorbed by your retinal photoreceptors, transduced into electrochemical signals, and interpreted by a ~20 W biological neural system.
end-to-end, you have astronomical numbers of highly coordinated electrons and photons, and dozens of conversions between them (ofc not including training), for a single thought from the little intelligence to appear on a screen and read by you.
A Waymo-like app where you summon a Unitree robo-horse, hop on it, and have it gallop to your destination in the bike lane could reignite the 20th century spirit of invention we so dearly miss
Using photogrammetry of an old TV's circuitry to generate an aerial view of a post-apocalyptic cityscape through @runwayml Gen-3 V2V. Did I ever mention I’m obsessed with experimentation?