Optimizing Data-to-Learning-to-Action
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Optimizing Data-to-Learning-to-Action, sequel to The Learning Layer. Data-to-Learning-to-Action® & Learning Layer® are ManyWorlds® brands!
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These debates all ultimately converge to Searle's Chinese Room Argument. As I discussed 13 years ago, what Searle's thought experiment leaves out is a capability for learning, which GPT-4 and Sora have. But Searle's meme still infects many. learninglayer.wordpress.com/2011/01/09/the…
I see some vocal objections: "Sora is not learning physics, it's just manipulating pixels in 2D". I respectfully disagree with this reductionist view. It's similar to saying "GPT-4 doesn't learn coding, it's just sampling strings". Well, what transformers do is just manipulating…
Shane Legg, cofounder of DeepMind, explains the importance of adding Search to Neural Networks. Background: "Move 37" was a pivotal play by AlphaGo during the 2nd of its 5-game series against Go Champion Lee Sedol. AlphaGo placed a stone in a highly unconventional position that…
AI is transforming science, which provides the foundation for much of overall innovation in the economy, thereby representing an additional driving force on innovation most generally (already being accelerated by AI). technologyreview.com/2023/07/05/107… Example: science.org/content/articl…
“With bigger models, you get better performance, but we don’t have evidence to suggest that the whole is greater than the sum of its parts.” hai.stanford.edu/news/ais-osten…
Delighted that the two startups for which I provide technology and IP guidance are partnering to deliver the next-generation #machinelearning-driven media processes to media clients right now.
revealit TV and I are proud to announce our partnership with DCO.ai to use the revealit TV platform to elevate viewer experiences and monetise some of the largest media catalogs in the world. blog.revealit.tv/2023/03/21/rev…
blog.revealit.tv
revealit TV and DCO announce partnership to monetize vast Hollywood media libraries more effectively
Sydney Australia, 21 March 2023 – revealit Corporation (“revealit TV”), the creators of the world’s first streaming platform that enables viewers to shop what they see in every fr…
AI enthusiasts have cried wolf for decades. GPT-4 is the wolf. I've seen it with my own eyes. betonit.substack.com/p/gpt-retakes-…
It's amusing how the homework threat is always top of mind when it comes to #gptchat, etc. Rather than the threat to the relevancy of what is being taught and graded.
Thx to Scott Aaronson, GPT outputs will soon be watermarked w/ a random seed, making it much harder to submit your GPT-written homework without getting caught He doesn’t give too many details about how it works, but I suspect its possible to bypass using a clever decoding strat
Artificial innovation: "human experts 'favored' some amino acids over others, sometimes leading them to incorrect choices. Also, the computer program correctly pointed to some proteins with qualities that didn’t make them obvious choices for self-assembly" rutgers.edu/news/latest-hu…
Human-->Machine-->Human innovation synergy arstechnica.com/information-te…
"bring imagination to life and create one-of-a-kind videos full of vivid colors, characters, and landscapes. The system can also create videos from images or take existing videos and create new ones that are similar." ai.facebook.com/blog/generativ…
"researchers have shown that the hippocampus, a structure of the brain critical to memory, is basically a special kind of neural net, known as a transformer, in disguise" quantamagazine.org/how-ai-transfo…
quantamagazine.org
How AI Transformers Mimic Parts of the Brain | Quanta Magazine
Neural networks originally designed for language processing turn out to be great models of how our brains understand places.
The robots have come:“We’re watching the death of artistry unfold before our eyes”vice.com/en/article/bvm…
In other words, identify and resolve the limiting constraint. This is universal, yet is too often unrecognized (which leads to misinvestment) and applies to all learning or innovation processes. datatolearningtoaction.com
An idea from the history of science to generate startup ideas or ways to help in a crisis: find the reverse salient. A reverse salient is the technology or process that is holding back development of the whole system (like ⚡️car batteries did). Solving the salient unlocks change
Just how much have language models grown in the last 4 years? Let's have a look. In 2018, the puny BERT “large” model premiered with a measly 354M parameters. It can be trained on a single 8xA100 node in 5 days. That costs $2K on AWS - almost free by LLM standards! 🧵
Humans ascribe sentience to ELIZA but not cows. So when people say "humans over-ascribe sentience", they are correct - our rate of false positives is high. And when people say "humans under-ascribe sentience", they are also correct - our rate of false negatives is also high.
The Fundamental Equation of Economics (and life). For any project, activity, or most broadly, action: Total Value = Direct Value + Learning Value researchgate.net/publication/35…
Be decision-driven not data-driven! Business value is ultimately driven by data-to-learning-to-action processes, and the way to optimize them is by working backward from the decision, not working forward from the data. towardsdatascience.com/the-downside-o…
By the time a human child turns 5, she has seen the equivalent of 800 million "frames" of video + audio + touch to learn how the world works through Self-Supervised Learning. Much of it is acquired actively. 5 years * 365 days * 12 hours * 3600 seconds * 10 fps = 788.4 million
In Feb-Mar 2020 most people underestimated COVID because the human brain doesn't intuitively register exponential growth. Are people likewise generally underestimating the time to #AGI?
Gato🐈a scalable generalist agent that uses a single transformer with exactly the same weights to play Atari, follow text instructions, caption images, chat with people, control a real robot arm, and more: dpmd.ai/Gato Paper: dpmd.ai/Gato-paper 1/
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