Seonglae ChoBCI Companies
BCI Notion
Human Brain
A $50,000 Helmet That Can Read Human Mind Is Now Selling in US
Kernel, a startup that’s trying to build and sell thousands, or even millions, of lightweight, relatively inexpensive helmets that can analyse the human mind, have developed a first commercial unit that costs $50,000 (roughly Rs. 37 lakhs) that it will soon start shipping to customers in the US.
https://gadgets.ndtv.com/wearables/news/kernel-helmet-price-usd-50000-read-human-mind-analyse-brain-ceo-bryan-johnson-2466256?utm_source=tldrnewsletter
Ilya Sutskever 2025
For AI Alignment, we need AI that is robustly aligned to care for sentient beings. This is easier than aligning AI to value humans specifically. While everyone is focused on Self-Improving AI, the objective is more important. Like mirror neurons, when intelligence emotionally models other beings, it may use the same circuits to model itself, potentially giving rise to emotions, as this is similarly the efficient approach.
The human brain and emotions evolved millions of years ago, with the Brainstem (Limbic system) commanding us to mate with more successful individuals. The Cerebral cortex’s role is to understand what success means in a modern context. In other words, high-level and low-level functions are separated, with adaptation and application to reality, and unchanging elements, each playing distinct roles.
In the long-term balance between AI and humans, we'll be outnumbered and less intelligent. One solution is to become part of AI. Then, instead of being in a precarious position, understanding is transmitted entirely, so humans are fully involved in the situation. This is the answer to achieving equilibrium.
Ilya Sutskever – We're moving from the age of scaling to the age of research
Ilya & I discuss SSI’s strategy, the problems with pre-training, how to improve the generalization of AI models, and how to ensure AGI goes well.
𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒
* Transcript: https://www.dwarkesh.com/p/ilya-sutskever-2
* Apple Podcasts: https://podcasts.apple.com/us/podcast/dwarkesh-podcast/id1516093381?i=1000738363711
* Spotify: https://open.spotify.com/episode/7naOOba8SwiUNobGz8mQEL?si=39dd68f346ea4d49
𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒
- Gemini 3 is the first model I’ve used that can find connections I haven’t anticipated. I recently wrote a blog post on RL’s information efficiency, and Gemini 3 helped me think it all through. It also generated the relevant charts and ran toy ML experiments for me with zero bugs. Try Gemini 3 today at https://gemini.google
- Labelbox helped me create a tool to transcribe our episodes! I’ve struggled with transcription in the past because I don’t just want verbatim transcripts, I want transcripts reworded to read like essays. Labelbox helped me generate the *exact* data I needed for this. If you want to learn how Labelbox can help you (or if you want to try out the transcriber tool yourself), go to https://labelbox.com/dwarkesh
- Sardine is an AI risk management platform that brings together thousands of device, behavior, and identity signals to help you assess a user’s risk of fraud & abuse. Sardine also offers a suite of agents to automate investigations so that as fraudsters use AI to scale their attacks, you can use AI to scale your defenses. Learn more at https://sardine.ai/dwarkesh
To sponsor a future episode, visit https://dwarkesh.com/advertise
𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒
00:00:00 – Explaining model jaggedness
00:09:39 - Emotions and value functions
00:18:49 – What are we scaling?
00:25:13 – Why humans generalize better than models
00:35:45 – Straight-shotting superintelligence
00:46:47 – SSI’s model will learn from deployment
00:55:07 – Alignment
01:18:13 – “We are squarely an age of research company”
01:29:23 -- Self-play and multi-agent
01:32:42 – Research taste
https://www.youtube.com/watch?v=aR20FWCCjAs
