New @DukeU modeling on large load flexibility to be presented 12/9, alongside insights from @Google @EPRINews @ClementsFERC https://t.co/PrhsPeKtdO

Some exciting job opportunities are now opening up on my team studying the post-AGI world. If you know someone who would be a great fit for this, please pass this along!

Train your muscles and spine for natural, lasting alignment! 🧘‍♂️ Work, relax, or train — stay comfortable and keep great posture. Try it now: https://t.co/kJ9ldTzgwW

Cool visualization of the analysis. “The game has changed from who has the fastest chip to who has the must efficient factory” Increasingly feel like people should use the LLMs to study and retain info better in general. Read on your own, test your understanding by prompting

From the makers of the popular AlphaGo documentary, The Thinking Game gives a much broader picture of the story of DeepMind and our mission to build AGI, drawing on interviews with myself and others going back many years. You can now freely watch it here:

Gemini app downloads are catching up to ChatGPT, and Gemini users now spend more time in the app than ChatGPT users

https://t.co/zEhvL6Sp63

Fmr GOP @FERC Chair Pat Wood III @rtoinsider op-ed: "For all connections to the transmission grid, we should embrace the 'connect & manage' approach we’ve used successfully with interconnecting ERCOT generators since 1997. Spread it to all generation & large loads nationwide."

I've used ChatGPT for 2yrs to support PhD research. For deep research, Gemini 3 (G3) is a 2-3X improvement from what I can tell: -Sources reviewed: 90-100 (G3) vs. 15-25 (GPT5.1) -Original charts: 2-4 (G3) vs. 0-1 (GPT) -Citations: In-text footnotes (G3) vs. general bibliography

How is no one talking about this? Gemini is reviewing 450+ sources for me when creating deep research reports. ChatGPT might be 10-15. The quality and depth is night and day IMO.

Imagine you own a paid-off heavy-duty pickup truck that gets 12 MPG. You decide to buy an e-bike for your daily commute. The critic: "That's wasteful! Now you have to maintain two vehicles instead of one." Reality: you keep the truck for heavy lifting (reliability), but use the

Diablo Canyon, by Nano Banana:

This will have a bunch of second-order effects, e.g. 1. A big decline in traffic accidents and fatalities, 2. More people willing to live and commute further from city centers, changing land values 3. Increased congestion leading to the need for congestion pricing, 4. The

google really played the long game. > nano banana 3.0 is insane.

@ShanuMathew93 So bullish on Google taking the lead here — being vertically integrated on chip-supply and DC-build side will make new campus deals so much easier to facilitate. Plus their leadership actually cares about CFE (and willing to pay to hit targets), which will allow them to extend AI

The launch of Gemini 3 has handed Google an elusive victory. The company, for the first time in years, has pulled well ahead in the AI race.

Channeling @mattyglesias!

@EmeraldAi_ @vsiv Institute for Progress (nicely done @AlecStapp @AidanRMackenzie @ArnabDatta321 & team) https://t.co/M8hhb85wHj

National Grid (including support for @EmeraldAi_ @vsiv et al comments) https://t.co/UM7X8MD9a8

Very much did not expect *American Electric Power* (AEP) to call on @FERC to implement connect & manage for generator interconnection, referencing my research (in FERC's large load ANOPR docket). Fascinating proposal to combine w/ entry fee model. https://t.co/Kv891yS68k

OpenAI CEO Sam Altman told colleagues that Google's recent progress in AI could "create some temporary economic headwinds for our company," even as he maintained OpenAI would emerge ahead. Read: