formercoder

Because utilities are commodities and natural monopolies. CSPs are neither.

You’re correct. MCP is just a defined way of mapping string descriptions to functions.

Humans drive without LIDAR. Why can’t robots?

Wouldn’t this make the $200k drop below EBIT and thus increase accrual accounting profitability? Sure it could be less cash efficient but generally capitalizing expenses is net favorable.

I work at Google but not on this. We do offer Gemini with Google Search grounding which is similar to a search API.

Pretty much the Reserved Instance Marketplace

Think the massive increase in demand is due to mass inference of open source LLMs? Or is the transformer architecture driving mass inference of other models too?

“Own” is likely a very simplistic term for the complex agreement in place between SpaceX and NASA. I’m sure SpaceX retains all of the developed IP, but NASA can “do whatever they want” with the actual ship.

Third try always

Corporate finance theory says that when a dividend is issued, the price of the stock goes down by an equivalent amount.

I’m a Googler who doesn’t do anything remotely close to setting capital return policy. Just remember Alphabet has been buying back 10s of billions for a while. Dividends are just a different capital return mechanism.

Googler here, if you haven’t looked at TPUs in a while check out the v5. They support PyTorch/JAX now, makes them much easier to use than TF only.

Let’s compare. I’ve interviewed for and been offered both high paying tech jobs and investment banking jobs. My interviews for tech really required me to have a deep understanding of the technology and how to solve problems with it. They tested my critical thinking skills. For banking, sure there were some technical questions but a lot of it came down to what school I went to, how I acted, who I knew. I suppose either one could be a “nightmare” depending on who you are. I do think the tech interview process was much better at hiring generally competent people. There’s also consulting which I have not directly interviewed for but the interview style is more similar to tech with more of a focus on mental math, those can be very difficult if you don’t have that skill.

What happens when your vm is live migrated 1000 feet away or to a different zone?

I’m not completely read in to all the details but she told me prior to this drug her diagnoses was a “death sentence.” The lung cancer had metastasized throughout her bones. The indication was sudden lower body paralysis caused by a spinal tumor. She had spinal fusion surgery as well. I understand because it’s stage 4 she will never be in “remission” but it has regressed significantly.

My aunt was diagnosed with stage 4 lung cancer and is only alive because of this drug. It’s a marvel of modern medicine.

Why is RAG a horrible hack? LLMs can draw from only 2 sources of data: their parametric knowledge and the prompt. The prompt seems like a pretty good place to put new information they need to reason with.

When I prototype RAG systems I don’t use a “vector database.” I just use a pandas dataframe and I do an apply() with a cosine distance function that is one line of code. I’ve done it with up to 1k rows and it still takes less than a second.

It’s interesting to see more developed KG + LLM use cases that aren’t just NL to Graph DB Query Lang.

I, a human, can read a copyrighted work and then write a new work and own the copyright on that new work as long as it is not substantially the same.

Why can’t we make it cheaper and easier to build nuclear plants?

SRE needs authority to hand back the pagers. That’s a key aspect.

Disclaimer: I work on Google Cloud

Yes it’s commercial but you can run it on any cloud or on prem.

Our network is completely software defined, so we just fake it to the VM and make it look like it's talking right to the service, and do all the routing via magic.

In your cost comparison are you including headcount to maintain all of that infrastructure? Security? And the equivalent of multi zone redundancy? Scale headroom?

I think it is that, I assume "money set aside to cover possible losses on loans" means income statement provision for future losses.

What's really shocking is that this number is post provision for future losses, which is a non cash accounting charge that the media often uses to make banks look worse. These are real losses.

Sadly it doesn’t work this way anymore. You just send a heavily lawyered pdf bid letter by email.

If there’s one thing you learn quickly about doing M&A it’s everyone does a lot of work that might not result in a transaction.

I'm confused. We've been putting AI (statistics) to work for a long time.