Hyperbolically, I think it's one of humanity's greatest resources. I can find anything from precision machining, LLM internals, historical footage of WWI, music performances from pretty much any era, and on, and on. There are so many things that I didn't know there was any footage of or that I didn't a single thing about that I find there pretty much daily.
I wish the BBC would publish their whole archive through YT. The few things that they do put up are often so mind expanding whether it's Berty Russel, The Beatles, or some cracking Scottish chap going for a bike ride with a bottle of whisky.
Tesla was the real power grid guy. The scope of his invention from the generators at Niagara Falls power generation to the transformers to the motors is pretty impressive. More so given that he was eventually given the patents (originally issued to Marconi) for radio transmission.
My sense is that the Gemini models are very capable but the Gemini CLI experience is subpar compared to Claude Code and Codex. I'm guess that it's the harness but since it can get confused, fall into doom loops, and generally lose the plot in a way that the model does not in Gemini Studio or the Gemini app.
I think a bunch of these harnesses are open source so it surprises me that there can be such a gulf between them.
Gemini-3.0-flash-preview came out right away with the 3.0 release and I was expecting 3.0-flash-lite before a bump on the pro model. I wonder if they have abandoned that part of the Pareto/price-performance.
I couldn't find anything more recent that this but apparently it has made the streets safer for pedestrians too. "Traffic fatalities in the Congestion Pricing zone are down 40% from last year."
This video shows the systems being built and shipped with cooling, cabling, etc.
It’s pretty mind blowing what this crisis shows from the manipulation of atoms and electrons all the way up to these clusters. Particularly mind blowing for me who has cable management issues with a ten port router.
This interested me as a simple-ish approach to a tough-ish promblem. From the example Trip Planner file:
"""Command line interface to process a trip request.
We use Gemini flash-lite to formalize freeform trip request into the dates and
destination. Then we use a second model to compose the trip itinerary.
* This simple example shows how we can reduce perceived latency by running a fast
model to validate and acknowledge user request while the good but slow model is
handling it.
The approach from this example also can be used as a defense mechanism against
prompt injections. The first model without tool access formalizes the request
into the TripRequest dataclass. The attack surface is significantly reduced by
the narrowness of the output format and lack of tools. Then a second model is
run on this cleanup up input.
*
Before running this script, ensure the `GOOGLE_API_KEY` environment
variable is set to the api-key you obtained from Google AI Studio.
Iran (and some neighbors) starts the new year on the Spring Equinox, the first day of spring. It’s named Now Ruz which translates to new day. Kinda makes sense to kick off the year at spring. It’s also pretty precise give that it’s an astronomical event. It dates back to at least Zoroastrian times (15th century BCE).
All the equinoxes and solstices are celebrated there. The winter solstice is named Yalda Night, which was a few nights ago and Christmas may be related to this astronomical event. There is also Mehran and Tirgan. Ancients did like to get together and party.
The future of training seems to, at least partly, be in synthetic data. I can imagine systems where a “data synthesizer” LLM is trained on open data and probably some licensed data. The synthesizer then generates data “to spec” to train larger models. MOE type models will likely have different approaches in so far as something like a Mathematical expert likely gets a long way with training data from out of copyright works by Newton, Euler, et al.
From afar it seems like the issues around Maven caused Google to pump the brakes on AI at just the wrong moment with respect to ChatGPT and bringing AI to market. I’m guessing all of the tech giants, and OpenAI, are working with various defense departments yet they haven’t had a Maven moment. Or maybe they have and it wasn’t in the middle of the race for all the marbles.
https://openletter.earth/apple-cease-funding-for-illegal-set...