> The simple reason for that shared trait is that all of those teams were comprised of groups of people with a few key things in common:
> A clearly understood goal
> A common set of values in pursuit of that goal
The only time when i have seen this to be true is when people don't have to work for money and when they believe that their basic needs (maslow's hierarchy's bottom 2 layers) have been taken care of forever (FIRE). That's when they truly work for a shared set of goals/values
> Their emphasis on bespoke modelling over generalized megaliths will pay off.
Isn't the entire deal with LLMs that they are trained as megaliths? How can bespoke modelling overcome the treasure trove of knowledge that megaliths can generically bring in, even in bespoke scenarios?
Didnt quite get this - if the only value prop is getting updates straight from the source (trusted/vetted journalists), what use is AI here, except for summaries perhaps?
Google Translate has been doing this forever and people in countries like Turkiye have been using it for a while. The usecase you're talking about is not exactly an LLM use case tbh.
The article underplays the role stablecoins are going to play in the next 10 years. Compared to 6+ intermediaries in a standard SWIFT payment, a cross-border payment facilitated by USDC/USDT just needs 2 players - an on-ramp provider and an off-ramp provider. The result ⇒ insanely low costs, much lesser than 1-5% typically charged by a SWIFT payment.
This network is sustainable and running on established blockchains which have been running for over a decade now - ETH.
This network somehow needs to penetrate domestically too - something like a UPI. That moment is going to be a watershed moment that should break this duopoly.
PS: Its a separate matter altogether that Visa/Mastercard are trying to gel well into this new age infrastructure
Nothing any technology does wasn't NOT possible before that tech went mainstream. The point being tech saves time/cost and boosts productivity. For e.g. if you would have been able to find a webpage in an hour before, search made it easier to find that webpage. Similarly, AI synthesizes webpages and information for you.
That is the point of technology. If you could reach from point A to point B, using a bicycle, car, train or an aeroplane, each has its own use case at its own value and price point. Each such tech saves time/cost. To say that is is only a different modality, fails to capture the value add.
How will this scale for Product folks? Unlike Engg. and Design, there is very little product guys can do to showcase their work/projects (except for a go-live feature blog). How about Sales guys and other similar functions?
How do you intend to bring liquidity to this? In India, if you buy USDT/USDC, the bid-ask spreads are calamitous - to the tune of 5-6% per side. So going on-ramp and off-ramp is quite costly!
> Did you know that the number of dollars doubles every decade on average? And the effect that has on the value of each dollar (it halves it).
But so do pretty much all developed world currencies isn't it? And relatively speaking dollar has pretty much increased or remained stable against other currencies including EUR, GBP over the last decade or so.
I agree. PPP is such a hollow measure. It is a self-aggrandizing veneer solely to flatter one's vanity.
We live in a global world where no country is self sufficient. We depend on oil from a few countries, clothes from some other, electronics from some more, so on and so forth. In such an interdependent and connected world, all payments are made in global currencies and PPP in isolation doesn't really cut it.
India pays the same in $ for oil, as does let's say the UK. Similarly, when an Indian travels abroad, they pay the same in $/£/€ as let's say another globe-trotter from Europe.
PPP in such cases becomes a facade, to stoke their egos and to justify to the nationalists that their nation is doing well.
One question I would ask is how fast is Waymo growing? At this stage isn't it too early to comment on the viability? Concerns around safety may take a decade of safe riding/data to come down.
Also, when you talk about Uber's stock price - Uber may not only be restricting itself to retail use cases but UberFreight could be a big market as well. In the logistics space too, adoption of self-driving may be slower than in retail is what I suspect.
Also, on an apples-to-apples basis, ~46% of Uber's revenue comes from markets outside the US where self-driving is yet to go through its own motions, regulatory approvals, local dynamics, learning (see how autos drive in subcontinent), etc.