dharma1

I think both can be true - ie. We can harness energy from the sun at much bigger scale than nature has so far, yet we can still learn a lot from how nature has spent massive parallel search over millions of years on coming up with incredible nano engineering we still have no clue how to do

I think Jeff Dean is right in that we will see much more specialised silicon in the future.

If something more bio inspired ie. predictive coding and in-memory compute fundamentally makes continual learning and much lower energy consumption possible there will be specialised hardware for it at some point

FWIW I think the brain has multiple “learning rules” and operates at multiple timescales

Which era Trane are you talking about? The man went through at least 4 major shifts. I’m guessing you are talking about Giant Steps and the later avant garde years?

He did a lot of stuff too which is not dense at all and very approachable - Naima, A Love Supreme, My Favorite Things, Kind of Blue with Miles, a lot more, enjoyable, classic albums.

Dig deeper

Plus you get the license for free when you buy a camera from them!

I’ve been using DaVinci Resolve Studio for 12 years now with frequent updates, with the license I got with the original Pocket Cinema Camera for £800 (still a fantastic pocket size cinema camera, shoots raw cinemadng and ProRes with a beautiful sensor).

One of the best founders and companies around.

yes GPU is significantly faster, but cpu only lets you do it anywhere - wasm in the browser, any server etc.

NPUs - definitely a good use case for at least part of it, there are ports of whisper that use coreML/ANE with less power and 3x speed of CPU only

Give it a shot, 3.1 live one in AI studio/API and max out reasoning - not the one in Gemini app it’s an older model.

Another option is to use pipecat with their VAD and separate STT and TTS and any (fast) LLM of your choice - but it’s more plumbing and not a true speech to speech model

Yes the voice part of OpenAI realtime/voice mode is great but it’s pretty dumb compared to newer models and often gets stuck repeating itself.

Google’s Gemini flash live 3.1 is better, especially used via the API - it can do tool calling (including to other, even smarter LLMs if you set it up yourself), you can set the reasoning level (even high is still close enough to realtime) and it can ground answers in google search. I love bidirectional voice and right now it’s probably the best option. You can try it in AI studio

“Eric Schmidt, who founded Google” no he didn’t

Easy install, discord/whatsapp/tg out of the box. And some agent orchestration out of the box where the main LLM can farm out tasks to different models/agents - yes Claude code has some of this too but I think this has more

Always take d3 with k2

put the APP3 through a washing machine recently by accident and they had the high pitched feedback if NC was used until they were fully dry after a couple of days. Have also put APP2 through washing machine before but never had this

Give them enough time and they will. EUV will hit limits anyway in a decade.

For china it's DUV+packaging for now, NIL/DSA mid-term, and MoS₂/2D chips long term. But wafer scale, defect free 2D logic is 20–30 yrs out, so no EUV shortcut anytime soon

Mid 90s efnet #philosophy was great. And undernet too