i dont understand the concern. they are putting up great financials. you have to invest ahead of the outcome. this is just classic quarterly public company earnings BS, where public markets dont reward innovation investment. they just want crank the handle financials.
The bigger issue is on the model front, can Google compete; Gemini doesnt seem to be able to compete on the heavy expert end; they are doing well on lighter faster models.
seems to me that we are at the asymtote for most usage. sure run the prompts that need the frontier on generic silicon but burning the fable 5 model into silicon could be perfectly viable
take my photo catalog stored in google photos, apple pictures, Onedrive, Amazon photos. collate into a single store, dedupe. Then build a proper timeline and geo/map view for all the photos.
With the increased caliber of software folks in Trumps orbit, my sense is we will have a much more informed decision from the Whitehouse on this topic and whether the US should weigh into the fray with the UK.
as a side note, its really baffling what this capability would actually provide for? Any serious criminal isn't using icloud backup or even an iPhone in the first place. So this is just a shit outcome for the general population.
If this goes through, I look forward to the news of the world expose on some cabinet members personal details
it's often a corporate's need for new revenue and security that causes the machine to march on. Just look at this TPM Win 10 upgrade issue.
My 2011 i5 desktop is still happily chugging away as a build server, home storage, and remote host. But oh yes, it will have to be nuked, thanks to MSFT policies.
LLM's are enabling a reimagination of UI.
Wheres the biggest opportunity in UI that hasn't kept up to date? legacy and regulated software in the long tail. Thats the disruption opportunity for LLM's.
clearly, google hasn't paid enough campaign donations vis-a-vis Microsoft.
This is just political corruption feigning as doing the right thing for the country.
we are having the wrong debate and are being distracted by the sideshow.
in many ways this is a test balloon for public support to go after big tech as a narrative around censorship over misinformation that will explode over the next few years
I suspect there is no available dataset that can teach the models to learn this. The enjoyment of music is entirely internalized. Skipping a track is an incredibly low fidelity data point.
I've often wondered if Spotify could capture volume control data as part of a track to see if that produces better training data. But again its still too low fidelity.