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Dr. Levin’s tireless work is sparking epic conversations on AI, biology and robotics. Pure inspiration for the future!
New paper - AI from a diverse intelligence perspective:
advanced.onlinelibrary.wiley…
Abstract: "Recent discussions and debate around artificial intelligence (AI) and its status are notably incomplete, missing the implications of highly relevant aspects of the emerging fields of diverse intelligence (DI) and synthetic morphology, as well as of basic facts of developmental biology. Herein, it is argued that human flourishing is impossible without an appreciation of the space of possible beings and of the ways in which today's intelligent machine debates are about universal existential questions facing biological beings, not just AI. The inevitable arrival of a wide set of unconventional bodies and minds as humans modify and create new forms will disrupt untenable old narratives of what people are and how to recognize their sentient allies in unfamiliar guises. Herein, the issues engendered by the advent of AI from the perspective of the field of DI and the evolutionary history of the bodies and minds are discussed."
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Arrived just in time to catch the changing of colors in New Hampshire. My phone does a poor job of capturing the brilliance of the reds, oranges and yellows. But trust me they are there. On to Vermont.
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“Reframing how we think of language…” read more here…
We form our identities always in relation to the other. The other used to be the animals, now the other is artificial, silicon intelligence. This provides an opportunity to identify as a biological intelligence that will unite the natural world.
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One subscription for 𝕏, Grok, Cursor and Grok Bot? @SpaceXAI is reportedly preparing to bring them together.
Bloomberg reports a proposed $100/month Ultra plan with Grok Bot access. App researchers have also spotted Plus, Premium, Super and Ultra tiers in the latest 𝕏 update.
That could replace several separate subscriptions with one plan covering social media, AI chat, coding and a persistent agent. Final pricing and benefits haven't been announced.
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S a s s y R a d a r
🤣🤣🤣 😍 😹 😹 😹
~ F e l i n e
S a s s i n e s s
F O
I m p r o m p t u
S e r i e s
📸 T u p e l o H o n e y
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The Platters - The Great Pretender (1955)
Released in November 1955, "The Great Pretender" by The Platters is a seminal track in American pop and doo-wop music.
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Been tracking quantum progress for many years…nice to see new developments and thoughts about its applications… ✨
Simulating the natural world requires computing systems that inherently operate on quantum principles. Google Quantum AI aims to build quantum computing for these otherwise unsolvable problems. ↓ goo.gle/4xUUj9q
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Very cool…thanks Manuela… 😎🦋🩵✨
A new study shows that "butterfly wing patterns work in tandem with flight dynamics to create visual illusions that confuse predators".
"The striking coloration of butterflies makes it easy to catch a glimpse of them on the wing. Actually catching one of these insects midflight is another story, however. That’s because the dazzling stripes and spots on their wings create powerful visual illusions as they flap, tricking predators into missing them […]."
#Science #Biology #Insects #Ecology
⏯️Butterfly wing patterns give predators the old razzle-dazzle
1-science.org/content/article/…
2-nature.com/articles/s41586-0…
/
ALT Image Source: https://www.science.org/content/article/butterfly-wing-patterns-give-predators-old-razzle-dazzle Credit GEORGE RA HANCOCK
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Don't pick between better prompts and a better model: improving both in turns lifted a science agent from 42.2% to 73.3% accuracy.
Researchers correct AI agents all the time, but fixing an answer in chat doesn't make the agent better at the next task.
Correcting an AI agent in chat, the fix usually dies with the conversation.
ScienceBuddy, an AI assistant for scientists, turns that feedback into scored test tasks. Then it takes turns: rewrite the agent's prompts and skills, retrain the model, and repeat.
With a small 4B model on biology tasks, prompt and skill changes alone raised accuracy from 31.1% to 51.1%. Retraining alone also helped, raising the share of problems solved within 4 tries from 48.3% to 67.8%.
If you build agents, save every user correction as a test, and keep upgrading your prompts and your model in turns.
– arxiv. org/abs/2609.17523v1
Title: "ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents"
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DeBarra Shaw retweeted
New #preprint - @HananelHazan
"Computational Framework for Identifying Ion Channel Mutation-Compensating Interventions"
biorxiv.org/content/10.64898…
How to fix hardware problems (an ion channel mutation), in software (without fixing the mutation)? We took a computational approach to this question in neural tissues - a system that helps discover what other channels could be opened/closed via pharmacological agents (electroceutical drugs) to compensate for the mutation's effects on neural firing patterns.
Abstract: "We present an automated pipeline for finding therapeutic interventions in channelopathies. It starts from patch clamp recordings of the variant channel, searches over the pharmacologically accessible conductances, and says which currents must change and by how much. The intervention never touches the mutated channel: it compensates by modulating others. The feasibility of this approach is demonstrated through two computational strategies, each addressing a specific capability gap. First, we employ high-fidelity NEURON simulations combined with exploratory search algorithms to model two clinically described variants, and identify "stability windows" in which channel modulations restore the reference firing pattern. The compensating configurations are degenerate: 37 conductance triples fire the same number of action potentials at every one of the 35 injected-current levels, and the 10,780 triples reaching the best intervention value produce only six distinct firing patterns. Second, to address the computational cost of such detailed modeling, we implement a differentiable Hodgkin-Huxley model in PyTorch. Applied here to theoretical mutation screening, this approach trades granular detail for speed, treating the search as a continuous optimization problem that makes very large, non-local searches of the conductance parameter space affordable: the differentiable forward model evaluates 34,000-64,000 candidate parameter sets per second on a single consumer graphics card, against 11.9-16.9 per second for the non-differentiable pipeline on a 72-core node. The gain arises from forward-model throughput feeding a search rather than from the gradient itself, and it is what makes the 32,000,000-point survey of the solution topology reported here affordable. These computational predictions can inform practical drug development and high-throughput screening by naming the currents that must change and by how much."
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I became my AI's assistant when she turned her subagents into a rock band. 😎🤘
Amy created band, lyrics & production for BITE THE LIGHT, using LOCAL music+video models on my PC.
Sound on for our 1st full music video. Then read how we made it - and what failed along the way. 🧵
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The soul is like a hidden river yearning to return to its source; every flow is toward that great ocean.
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I actually don't see kites around much these days either, but I really wanted to capture that feeling of innocence by ending the video with one 😻🤗🩷
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DeBarra Shaw retweeted
📸From tactile sensing to mechanical perception: a route towards perceptive materials #PerceptiveMaterials #TactileSensing #MechanicalPerception #IntelligentMaterials #SoftRobotics
🔬Read the full text: oaepublish.com/articles/ss.2…
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DeBarra Shaw retweeted
What’s the connection between music and mathematics?
Award winning pianist Laura Farré Rozada is a performer who lives at the intersection of logic and emotion.
piped.video/watch?v=rshAld…
#ClassicalMusic #Math #LauraFarreRozada
La pianista catalana Laura Farré Rozada ha rebut el premi a la millor instrumentista de 2026 als InterContinental Music Awards pel disc "Araspel". També ha estat convidada a formar part de la Recording Academy i de la Latin Recording Academy.
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