Anecdata, but it weirdly helped me. Seemed BS for me until I tried.
Maybe because good code is contextual? Sample codes to explain concepts may be simpler than a production ready code. The model may have the capability to do both but can't properly disguished the correct thing to do.
I don't know.
The ML methods they use have always been quite standard, they have been open about that. They just had the gall (or vision) to burn way more money than anyone else on scaling them up. The scale itself carries its own serious engineering challenges of course, but frankly they are not doing anything that any top-of-class CS post-grad couldn't replicate with enough budget.
It's certainly hard, but it's really not that special from an engineering standpoint. What is absolutely unprecedented is the social engineering and political acumen that allowed them to take such risks with so much money, walking that tightrope of mad ambition combined with good scientific discipline to make sure the money wouldn't be completely wasted, and the vision for what was required to make LLMs actually commercially useful (instruction tuning, "safety/censoring"...). But frankly, I really think most of the the engineers themselves are fungible, and I say this as an engineer myself.
From my POV Google could have released a good B2C LLM before OpenAI, but it would compete with their own Ads business.
For more advanced CSP bypass with extension, you can:
1. Inject JS code into any webpage with a CSP.
2. Create an event listener for your content script and reacting according to it.
3. Use your content script to communicate with the background script.
4. Use the background script to communicate with any website, including blocked websites by the CSP.
Basically, any website <-> extension content script <-> background script <-> any website.
Is there some entropy or randomness at play here? Or some sort of RAG? Even if it was RAG, the "reasoning" is very different and doesn't mention the clear censorship in the initial prompt that the one I linked mentions.
So many of the continuity counter-examples are throwing Weierstrass at the wall and getting something to stick. It's fun but also feels a bit like cheating.
I do recommend this book for any french-speaking mathematician-adjacent person though. Real great dictionary for remembering why certain things only work in one direction.
[0] Les contre-exemples en mathématiques: https://www.editions-ellipses.fr/accueil/5328-les-contre-exe...
One professor of mine commented that most French engineers are better mathematicians than most mathematicians in Brazil.
It is the opposite of what the linked article mentions that was happening in Weierstrass' time.
There are some obvious next steps for improving the polish on this, would you say you were more resource constrained, time constrained, or skill constrained?
For instance, did you put any thought into making flex PCBs to make the cable routing easier?
I also think the concept of a laptop with a removable wireless keyboard is brilliant, and I think your implementation is a lot cleaner than e.g. the Surface or the iPad's case-keyboards. If I had a laptop that did that, it would be my go-to travel machine. One less thing to cart around.
It also has two screens and its own stand, I use it as my travel machine.