If you decide to read Dana’s Story you can find it at https://www.amazon.com/dp/B09RN1C2W6 As I say, it is a hard read. I did not print books 2 and 3 where Brian, the first sentient AI, is involved. I have copies online and I recorded all three books in my own voice, but those are just in
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Ben Prystawski @BenPrystawski I’ll be presenting on “Cultural reinforcement learning: a framework for modeling cumulative culture on a limited channel” at 1:45 #cogsci2023 this afternoon! My talk will be in the “Culture and Language II” session. The paper is here if you’re interested: https://psyarxiv.com/q4tz8/ Replying to @BenPrystawski Ben, When I was a teenager about 60
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Google Research: Introducing PaLM 2, Google’s next generation large language model | Research Bytes at https://www.youtube.com/watch?v=yAANQypgOo8 I was head to head testing OpenAI and Bard. Bard is not even close. It simply refused to try. If you open Google research and operations, transparency might let the world see what you are doing, help you with plans,
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Richard: How many electrons moving at 110 km/second would be needed to have a total kinetic energy of 5.75E10 Joules? OpenAI ChatGPT Plus 4.0: The kinetic energy of a single particle can be calculated using the formula: KE = 0.5 * m * v^2 where: m = mass v = velocity For an electron, the
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DMK 37BUX226 37U Series Monochrome Industrial Camera, USB 3.1 Interface, 1/1.7 inch Sony CMOS STARVIS IMX226 Sensor, 4,000×3,000 (12 MP), up to 30 fps, Pixel Size: H: 1.85 µm, V: 1.85 µm, Rolling Shutter, Trigger and I/O Inputs, Only 36×36×25 mm, Windows Software and Linux Software Included. at https://www.theimagingsource.com/en-us/product/industrial/37u/dmk37bux226/ Sony Starvis IMX226 at https://dl.theimagingsource.com/2463925d-c309-5183-8223-5cf3659ecc53/ I am looking
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Feryal Behbahani at https://arxiv.org/search/cs?searchtype=author&query=Behbahani%2C+F Edan Meyer @ejmejm1 I totally forgot to post my recent video on AdA: https://youtu.be/BkWLCrLapQo Check it out if you want to see how @FeryalMP & colleagues successfully scale RL and pave the way towards future RL foundation models. It’s some great work! Human-Timescale Adaptation in an Open-Ended Task Space at https://arxiv.org/abs/2301.07608
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Richard: I am reading Jackson’s “Classical Electrodynamics” again. Looking at the fundamental assumptions and limitations of his times. At the very beginning he is talking about electrostatic fields and he says Curl (E) = 0 and says “this is equivalent to saying that E is the gradient of a scalar electric potential” But soon he
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Richard: We talked before a bit about teaching AIs to use software, rather than trying to write it. There are a few ten million humans out of the 5 Billion using the Internet who try to write software, scripts and automation. Forcing billions of humans to become programmers, just to use computers is not an
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Google DeepMind @GoogleDeepMind Generating videos from text is challenging due to: 📈 High computational cost 📉 Limited quantities of high quality text-video data 📹 Variable videos lengths Here’s how the team addressed these issues when developing Phenaki: https://dpmd.ai/3O5U6vl Replying to @GoogleDeepMind Feed the hungry, train the jobless, comfort the helpless and lonely ones, watch out
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Richard: Can you help explain the Madelung energy and the heat of formation of ionic crystals? Bard: Sure. The Madelung energy is the electrostatic energy of interaction between the ions in an ionic crystal. It is named after Erwin Madelung, who first calculated it in 1919. The Madelung energy can be calculated using a series
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