711 karma · joined September 26, 2008
Separately; Sam's belief that "AI has to be democratized; power cannot be too concentrated." rings incredibly hollow. OpenAI has abandoned its open source roots. It is concentrating wealth - and thus power - into fewer hands. Not more.
I've been at a company that many considered to have excellent design and that received a lot of attention here (Heroku). There was a culture that permeated the company around beautiful design and what I would call "maker excellence". It was a place where people who liked building great things (both engineers and designers) felt at home.
First wealth appreciates over time. So if your wealth appreciates at 15% / year, and the govt. taxes it at 1%, the net effect is growth rate is slowed to 14%. With these assumptions, someone starting with $1mm in wealth ends up with $2.6 billion after 60 years!
Second - PG ignores that most wealth tax proposals have a high minimum wealth - in the $50mm range. So there is no early compounding of the tax. Adding this into the model, the wealthy founder ends up with $3.3 billion after 60 years.
With no wealth tax, this hypothetical founder ends up with $4.3 billion. So, yes the government has taxed a total of ~ 25% over 60 years, but the founder ends up quite wealthy.
When a startup was at the seed stage and worth say $5mm, a founder with a 50% stake would be paying $25,000 / year with a 1% tax. If the company grew and received a b-round of investment valuing it at $150mm, with the founder diluted to 20% ownership, the wealth tax on the $30mm in equity would be $300,000. As you can see the tax rate changes over time significantly.
There would likely be some unexpected consequences. Founders would re-consider sky-high valuations during funding rounds because of the effect on their tax rate. Startups may consider generating real cash-flow earlier on in order to issue dividends to their shareholders to cover the wealth tax instead of selling shares. If equity holders did sell shares to cover the tax, there would be a more liquid secondary market, which could make "house-of-cards" startup more apparent early on.
Cloud Run will have support VPC Connectors soon (it is supported, we just haven't wired up the API/UI). After that, its your choice, they run on similar infrastructure so you just need to decide if you want to live in containerland or source code land.
This is a very understandable concern, given the importance of having a platform on which you can rely.
Contractually Google Cloud provides a 1 year notice before discontinuing (or making backwards incompatible changes) to products. This is for generally available (GA) products. Cloud Run is in beta, so technically it could be decided not to bring it to GA. This is why some conservative orgs tend to wait for products to be GA before releasing them.
From a technical perspective, Cloud Run was designed to be highly portable and idiomatic. If the service were discontinued (or you just didn't like it), you should be able to take your container image, and run it anywhere else. Odds are you would be using some other Google Cloud Services, so you would likely want to run in an environment with low network latency to Google Cloud (Compute Engine and Kubernetes Engine being obvious candidates).
From a historical perspective, I'd say that Google Cloud goes above and beyond in supporting older products. App Engine is about to hit its 11th anniversary. We are still running PHP 5.5 apps and backporting security patches to the runtime, despite the language losing community support 3 years ago. We are still turning down an old product called "Managed Virtual Machines", which has now been in a deprecated (but running) state for longer than it was GA!
From an emotional perspective, I think that Google is eyed with a lot of suspicion for turning off products. Google Reader - enough said. But as someone on the thread pointed out, Google Cloud is a very different business from the rest of Google. Google (!cloud) is a consumer company at a scale where if a product matters when it hits a billion users. Google Cloud is an enterprise company. Scale still matters, but not in the same way it does in consumer.
I can't wait for hacker news folks to try Cloud Run. Its an awesome product.
This is based on gVisor (https://github.com/google/gvisor), but it does not use the ptrace sandboxing that is in the mainline open source project. Our First Generation runtimes (aka nacl) were based on ptrace. In our informal testing we have observed the Second Generation runtimes to be about 20% faster than the First Generation. I don't have benchmarks on how it compares to a raw VM.
These new runtimes are capable of multithreading, so long as the language is capable of it. And you will need to use an instance larger than the default (F1 / B1) to have access to more than one thread.
Historically supporting a language on App Engine required modifying the languages libraries to work on proprietary parts of Google infrastructure. This entailed a decent bit of effort on our part, and also meant that some apps & code wouldn't execute correctly.
We now use technology based on gVisor (https://github.com/google/gvisor) in production for App Engine standard. This allows us to release new language runtimes unmodified. Node.js support is the first runtime based on this new stack.
We completely agree that we should be releasing support for new languages & major versions more frequently...
And file a suit against Yelp.
Webvan's model hasn't yet been validated. The local delivery startups and offerings are still losing lots of money. If anyone can make it work it will be Amazing, but it has yet to be validated as a profitable business.
I’ve heard some second hand anecdotes about Magic. Apparently they have one big technology advance, which is that they’ve solved the eye tracking and vertigo challenges of AR. These are hard and not to be underestimated. However the company is supposedly a mess internally - with huge management and political issues. This isn’t surprising - I’ve been in a number of early stage startups and by default they are a mess. Add on top of that billions of dollars of funding and no customers or sales to anchor the company to reality, and its easy to see how AR can become “Alternative Reality”! Further evidence - their recently released headset photos were renderings, not actual products. I genuinely hope that I’m wrong - I’d love for the amazing demo videos they’ve released to congeal into real mass market products.
Does anyone else have good data on Magic?