I disagree that it's reductive. If each user costs more in API tokens then your company isn't valuable. That's what everyone's been screaming from the rooftops about there being a bubble. We certainly use tons of AI at the company I work for, if we were paying full API prices then I would bet we'd be barely using it.
There's always enterprise wheeling and dealing to keep something discounted, but enterprises are absolutely paying API prices for tokens. For AI coding a least, the issue is more about attributing tokens to a real backlog (no leeching tokens for side projects) and keeping things from running away, both of which all the major AI coding platforms offer solutions for.
My salary literally doubled just working remote/hybrid for London companies around COVID. I much prefer the lifestyle now I work for a smaller company in Canterbury and get paid less for the role. Turns out all that extra travel and overtime ended up being materially worse for my quality of life. And my job is way more fun nowadays.
I mean, none of the videos show it completing a task successfully as I see it!
1. Doesn't look like it's stirring well enough to prevent burning
2. Seems to just be picking up vertical cans and grabs the napkin unintentially, never see it pick up any of the more interesting shapes/orientations.
3. Doesn't shut the fridge door
4. Teleports to things in it's hand, never see it actually place something in the rack.
5. Not a fold in site, vague wafting of a shirt around
6. Poured a few grains of cereal, not sure it can tell if it's poured the right amount of anything. Doesn't look like a useful result there.
Honestly, it could probably close the fridge. Why they can't show it completing a task in any of their examples is probably not a good sign for the skills situation. It's clear the goal is crowdsourcing the software and providing a platform with no idea whether it can actually do any of these tasks reliably to be useful.
This was exactly as I was thinking tbh. And the radio silence from them on any reply I think makes this more likely. I don’t want to be a dick if someone’s making something cool, but just be honest about it.
I gather this is a vague snarky comment loosely implying that vegans don't get enough B12. If so, it's a profoundly ignorant point that shows you don't have any knowledge of a typical vegan diet nowadays.
Yep, B12 is a solved issue. It's pretty cheap to supplement.
I do want to mention that you do also have to look out to get enough of : Omega 3, Calcium, Iodine, Iron, Selenium, Protein.
Takes a bit of work at the start to adapt but it's very doable, and it's not like Omnivores don't have comparable deficiencies from not eating enough plants and fruit. Not to mention other problems that come with eating animal products...
I only supplement with Omega 3, Vitamin D, B12, Iodine (although sometimes I go for wakame). Have been on a plant-based diet for around 4 years now, feeling healthy.
I know people who only eat chicken and beef, I'm pretty sure they need iodine way than you do. I don't have the issue, the main animal I eat (besides eggs and cheese) is fish, but I would bet you are healthier than a large part of omnivores.
Fish don't produce omega-3 fats themselves, they accumulate them by eating algae and smaller prey up the food chain.
> [EPA and DHA] they are originally synthesized by microalgae at the base of the marine food chain, not by the fish. As microalgae move up the food chain, fish acquire the omega-3s and accumulate them in their tissues
We used to charge innocent men for room and board in prison after being released here in the UK not long ago. They only changed this in 2023 after uproar in a recent case of an innocent man being freed.
It's more a comment about the feature detection I think; all image, video and audio input contribute to the same weights/activations that can produce image, video and audio output.
This is short-sighted IMO, I bet money that once the dust settles with the current LLM-boom that Google will still be around and pioneering in AI across the board. They aren't locked in to Nvidia, they have world class research, they aren't bogged down with VC returns or upcoming IPOs.
I see that being about as likely as IBM doing the same.
I'm too young to have seen the arc of Xerox PARC first hand, so to me stuff like the innovators dilemma made sense, but didn't feel particularly visceral.
AI Studio (or whatever their internal name is) is the first time in my own lifetime witnessing how real deep it really cuts.
Google realizes GCP is too slow and overwrought to get mindshare vs nimble OpenAI and Ant, spins up a new product org as a work around, and that product org ends up moving obviously much faster than Vertex, but also with a sort of malaise (relative to the technology they're supposed to be selling) that makes it clear to me that Google actually cannot move like a startup anymore.
That might seem super obvious to most people, but I grew up with Google being the startup. I knew they grew up to be a mega cap, but I guess I always assumed the bones of a startup were still in there.
There's no bones. It actually feels like a mini-identity crisis for myself to realize there is no startup left in Google: what other invariants I assumed about people and organizations are just plain wrong?
I agree with you for the most part. However they have been raising a lot of cash, and to do so they took on a ton of debt.
It's a totally reasonable investment as long as they are within shooting distance of the market leaders, but the more they lag behind (i.e. the longer it takes for them to release their next model on par with industry leaders) the more hurt they're going to be in.
If they can't materialize returns off the tens of billions of dollars they just raised then it will come back to bite them hard.
Luckily they have a ton of options (such as selling compute) but it's still not a great look and the market is going to hammer them given the opportunity.
Strongly disagree. Google (and Apple) need only be near the frontier. Their incredible distribution and integration will propel them far beyond the next marginal billion dollar benchmarkmaxxing.
I'm saying that. But they're falling further behind day by day. Gemini 3.5 Pro is allegedly months behind. If they can't keep up they're going to be left in the dust.
Lol. The average American isn't ponying up $20/mo for the latest and greatest model. Barring major breakthroughs, being months ahead is a race to the bottom of who can burn more money to get 0.1% on a benchmark with no practical relevance.
It's a pretty bad look when all they do is shed researchers. Whether to other labs, or to people launching their own things. "I work at Google" doesn't have the ring it had 10-20 years ago either, something that OAI and especially Anthropic enjoy nowadays.
Deepmind is looking less and less like a place of prestige, and more and more like a smash-and-grab.
