Geoffrey Hinton just had the most important AI interview of 2025.
He revealed mind-blowing facts about AI that 99% of people wouldn't know...
Including which career path to choose.
You won't believe what you're about to hear.
Here are his 8 most shocking insights: (thread) 🧵
Text-to-LoRA: Instant Transformer Adaption
arxiv.org/abs/2506.06105
Generative models can produce text, images, video. They should also be able to generate models! Here, we trained a Hypernetwork to generate new task-specific LoRAs by simply describing the task as a text prompt.
Text-to-LoRA: Instant Transformer Adaption
arxiv.org/abs/2506.06105
Generative models can produce text, images, video. They should also be able to generate models! Here, we trained a Hypernetwork to generate new task-specific LoRAs by simply describing the task as a text prompt.
Preprint of today: Beyer et al., "Highly Compressed Tokenizer Can Generate Without Training" -- github.com/lukaslaobeyer/…
The latent space of tokenizers already provides a good enough abstraction to work with -- you don't have to use a diffusion model on top to inpaint, etc!
Are world models necessary to achieve human-level agents, or is there a model-free short-cut?
Our new #ICML2025 paper tackles this question from first principles, and finds a surprising answer, agents _are_ world models… 🧵
If you’re interested in learning about Continuous Thought Machines (sakana.ai/ctm/), we made interactive notebook tutorials so you can hack around with CTMs
ImageNet:
github.com/SakanaAI/conti…
MNIST Tutorial:
github.com/SakanaAI/conti…
Let me know if you have any feedback!
AI that can improve itself: A deep dive into self-improving AI and the Darwin-Gödel Machine.
richardcsuwandi.github.io/blog/2025/dgm/
Excellent blog post by @richardcsuwandi reviewing the Darwin Gödel Machine (DGM) and future implications.
AI that can improve itself: A deep dive into self-improving AI and the Darwin-Gödel Machine.
richardcsuwandi.github.io/blog/2025/dgm/
Excellent blog post by @richardcsuwandi reviewing the Darwin Gödel Machine (DGM) and future implications. https://t.co/uspOIv5d3H
New Paper!
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
A longstanding goal of AI research has been the creation of AI that can learn indefinitely. One path toward that goal is an AI that improves itself by rewriting its own code, including any code…
Why do brains rely on inference, uncertainty, and structure…
while AI systems chase rewards in unstructured worlds?
Are we missing something fundamental about how intelligence emerges?
#NeuroAI#InferenceOverOptimization
1/3 @geoffreyhinton once said that the future depends on some graduate student being suspicious of everything he says (via @lexfridman). He also said was that it was impossible to find biologically plausible approaches to backprop that scale well: radical.vc/geoffrey-hinto….
You weren't dreaming— the @NotebookLM mobile app started rolling out this morning! We were eager to get the app into your hands, so this initial version has an MVP feature set with more functionality coming soon!
Here are a few of the features we're most excited about: 🧵🧵🧵
I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy!
arxiv.org/abs/2412.05265
🚀Let’s Think Only with Images.
No language and No verbal thought.🤔
Let’s think through a sequence of images💭, like how humans picture steps in their minds🎨.
We propose Visual Planning, a novel reasoning paradigm that enables models to reason purely through images.
“I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain.”
— @geoffreyhinton 🧠
Introducing Continuous Thought Machines
New Blog: sakana.ai/ctm/
Modern AI is powerful, but it’s still distinct from human-like flexible intelligence. We believe neural timing is key. Our Continuous Thought Machine is built from the ground up to use neural dynamics as…
New Paper: Continuous Thought Machines 🧠
Neurons in brains use timing and synchronization in the way that they compute, but this is largely ignored in modern neural nets. We believe neural timing is key for the flexibility and adaptability of biological intelligence.
We…
Flow Matching aims to learn a "flow" that transforms a simple source distribution (e.g. Gaussian) to an arbitrarily complex target distribution.
This video shows the evolution of the marginal probability path as a source distribution is transformed to a target distribution.
I dove into the 264-page AI Agent Blueprint by top researchers from Meta, Yale, Stanford, DeepMind & Microsoft.
They map AI Agent components—perception, memory, world modeling, reasoning, planning—to human brain. Remarkable work.
𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗸𝗲𝘆 𝗳𝗶𝗻𝗱𝗶𝗻𝗴𝘀:…
42 Followers 189 Followingstudying learning with noisy stimuli with @YulKang1. undergrad 4th @KAISTofficial bio/AI/EE. NYU Fall 2024 research intern at Cristina Savin lab.
412 Followers 7K Followingno one is real we all have 2 faces Liars every where and there be careful out there manipulating people think and question everything
236 Followers 168 FollowingChief AI Scientist at Got It AI. AGI Scientist - Conscious AI by 2030 (https://t.co/cl99eyDMfZ). Tech entrepreneur. Musician.
5K Followers 3K Following@UCL using #neuroimaging + #psychedelics to study the #neurobiology of language, inner speech & #consciousness 🧠 Also see our UNITy Project @PsychedelicUNIT 🍄
886 Followers 571 FollowingPhilosopher, phenomenologist, and cognitive scientist at @UCMerced. Visualization builder. Work on Simbrain (https://t.co/fTPvffnxis) in my free time.
95 Followers 418 FollowingResearching consciousness and its altered states induced by psychedelics, meditation, and floatation. https://t.co/fiIvrJ9gAq
7K Followers 2K FollowingFounder & CEO of Araya, Inc.: https://t.co/os1GKxTrsd Researcher of Brain, AI and Consciousness: https://t.co/q6uxCveOHK, https://t.co/0BLUmfFdhS
151 Followers 191 Following🚴♂️🥾🛶🏊♂️⛰️ PhD @DurhamPsych researching children & infants’ own-body processing in VR + beyond 🧠 Passionate about dev of body reps, selfhood, embodiment
618 Followers 121 FollowingThe 27th annual meeting of Association for the Scientific Study of Consciousness
TOKYO, July 2-5, 2024
ASSC27: https://t.co/C7YhSZGs7e
ASSC : https://t.co/fHxuAlMLA4
277 Followers 680 FollowingIncoming PhD student @SussexCentre. Research intern at Araya. Research fellow @AIAlignNetwork. Dreaming of reverse-engineering consciousness someday.
496 Followers 465 FollowingI am interested in theoretically elucidating the characteristics of human cognitive functions and exploring the neural basis of consciousness.
医学部4年🩺/神経科学🧠
54K Followers 0 FollowingWe are building a world class AI R&D company in Tokyo. We want to develop AI solutions for Japan’s needs, and democratize AI in Japan. https://t.co/1q07mb3TzE
26K Followers 173 FollowingA North Star for open AGI. Co-founders: @fchollet @mikeknoop. President: @gregkamradt. Help support the mission - make a donation today.
6K Followers 173 FollowingWe study mathematical principles of learning, perception & action in brains & machines. Funded by Gatsby Charitable Foundation.
Also on bluesky & mastodon.
28K Followers 1K FollowingResearch at @GoogleDeepMind. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). Veo Team (Ingredients to Video Co-Lead)
452 Followers 406 FollowingPostdoc @UvA_Amsterdam PhD @ETH Zürich and @MPI_IS, intern in @AmazonScience. Structured representation learning for and by autonomous agents. 🦋 @zadaianchuk
2K Followers 1K FollowingProf@KAIST, Chief Dreamer of Machine Learning & Mind Lab https://t.co/ato9yodtm5 Previously, professor at Rutgers, postdoc at Mila, and PhD at UC Irvine
6K Followers 779 FollowingResearch scientist at DeepMind. Prof at Columbia Neuro. Likes hippocampi and learning and other things brains have and do, too. she/her.
42 Followers 189 Followingstudying learning with noisy stimuli with @YulKang1. undergrad 4th @KAISTofficial bio/AI/EE. NYU Fall 2024 research intern at Cristina Savin lab.
4K Followers 1K FollowingKaterina Fotopoulou's lab. Body awareness, interoception, social interaction. No real egos, pet projects or scientific facts were hurt in making these tweets
236 Followers 168 FollowingChief AI Scientist at Got It AI. AGI Scientist - Conscious AI by 2030 (https://t.co/cl99eyDMfZ). Tech entrepreneur. Musician.
294 Followers 401 FollowingAssistant Professor in systems/cognitive neuroscience. Studying behavior and neural activity under dynamic, real-time, naturalistic experimental paradigm.
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