They note the impact to the high-end, the fact that UI is crucial, they even had a good guess at 2008 sales numbers (estimate 14m, looks like real was 13m).
I was intrigued by this bullet point on how their Maemo platform could help:
* Cellular development of the maemo platform and the politics surrounding it?
Any folks from Nokia in this time care to shed more light on that? I always felt the N9 was a beautiful piece of design and implementation - just late and under-supported.
Out of curiosity, were you setting out to create something new for stylistic reasons? Or licensing? For the fun of it? From a distance I'm trying to distinguish this from something like remix icons https://remixicon.com
Do you plan to keep adding more icons? How will these relate to the MynaUI Pro plan in the long run?
Arcade also has amazing editors for sound, sprites, etc.
Here’s Flappy Bird https://arcade.makecode.com/88444-57913-28610-31751 (Not made by me!)
>RP2350 includes a pair of open-hardware Hazard3 RISC-V cores which can be substituted at boot time for the Cortex-M33 cores. Our boot ROM can even auto-detect the architecture for which a second-stage binary has been built and reboot the chip into the appropriate mode
https://www.raspberrypi.com/documentation/microcontrollers/s...
So more like SEO firms "helping you" move your rank on Google, than Google selling ads.
I'd imagine "undetectable to the LLM training orgs" might just be service with a higher fee.
The magic of genAI is they don't need to put ads next to the answers where they can easily be ignored or adblocked, they can put the ads inside the answers instead. The future, like it or not, is advertisers bidding to bias AI models towards mentioning their products.
And of course, once the new models are released, it'll be impossible to prove the impact of the work - there's no counterfactual. Proponents of the "training data influence service" will tell you that without them, you wouldn't even be mentioned.
I really don't like this. But I also don't see a way around it. Public datasets are good. User contributed content is good, but inherently vulnerable to this I think?. Anyone in any of the big LLM training orgs working on defending against this kind of bought influence?
That said, next project we want to try something more integrated with EDA tools. If anyone else has followed this path, we'd love to know.
The demos sounded like little R2D2 blips and sputters.
Perhaps a researcher for Microsoft or something.
Anyone know the paper I'm talking about? I can't find it.