unusualmonkey
Now it's just a git repo.
An X5 is not simply “inferior” to a CR-V, or vice versa. A Camry is not “inferior” to an F-150, or vice versa. They are optimized for different buyers, budgets, constraints, and use cases.
That may actually be the better analogy for AI models: there probably is not one universal “best” model. There are models that are better or worse for particular tasks, price points, latency requirements, deployment constraints, privacy needs, etc.
Assuming token costs will be prohibitive assumes:
A) tokens will be really expensive and B) you need to fund tokens before you have revenue.
Your asserting AI makes the economy more capital intensive, when I think you'll see in practice it's the opposite.
Source needed RE brain.
Define innovate, in a way that a LLM can't and we definitively can prove a human can.
That should be sufficient rebuttal.
Ironically AI models are iirc.
Come up with a real argument.
Sure, but that's only one small aspect of the economy.
Maybe younger generations would earn more with all the spending and save more knowing there is no inheritance coming.
You only look at one aspect, claim you know what would happen, and the proclaim yourself right.
For example, you are asserting there would be 'no reason to own property beyond a certain age'... which isn't supported, and then jumping to the conclusion that that would lower savigns rates.
None of this is clearly true, just supposition.
So what if there is no reason to own property beyond a certain age? Even if we take this claim as true... that doesn't explain if this is a good or bad thing.
I also don't see why buying a house would be much riskier? If you buy a house for your family it's because you either prefer the lifestyle or think it provides economic advantages over renting. Given you only need housing when your alive, I think what happens after you pass is not as major a concern as presented.
DLSS might not be as good as pure unlimited pathtracing, but for a given budget it might be better than rasterization alone.
Sure, but compute is a limiting factor.
What analysis do you point to that suggests fossil fuels have a smaller impact than, say, wind?
Except it can't, a 100 acre wind farm can produce energy indefinitely while a oil well will eventually run dry.
The idea that fossil fuels are more ecologically favorable because it's 'dense' needs to address not only external factors, but that fossil fuels are non-renewable.
Can you expand on this? How does the density of fossil fuel make them a better source of energy than say wind?
Ironically by adding a gue to a nomral screen, you're effectively 'adding' pixels to the display... unlike the pro which wastes pixels on the 'hue' because many of them are not in the ideal viewing angle.
Writing code is not building a business.
Keep in mind that all that unwatchable area is pixels that aren't being used to improve the movie image.
Then proceeds to show screenshots where more than 50% of the screen is background. Just because you decided to show cloud instead of black doesn't mean it's not letterboxing.
The second business should be able to be much bigger AND easier, but you aren't focussing all your efforts on it because you're splitting your time with the first, non-defensible business?
It's good to be optimistic, but balance that with realism. It's easy to build a billion dollar business on paper, much harder in reality.
Let's look at the trade:
"I’m looking for a technical cofounder who is ready to commit in the next 2-3 months and work in-person in San Francisco. I’m looking for them to do Product, Design, and Engineering."
This requires a lead level engineer, say $200k to $500k/year salary in SF. Given that this is a 2~3 month engagement, we'd double that for contractor rate and pro rata. I'd estimate this is $100k to $250k of time.
"I’m committed to healthtech and have a few ideas, but willing to work on other ideas in healthtech."
Great, this is worth about $0.
This doesn't seem like a fair trade.
What's worse is that "Rob Balian" is a CTO with product manager background. Instead of looking for a co-founder to complement his skillset, he's duplicating the skill set.
If you sepnd 9 months getting a technical co-founder, you likely get a seasoned engineer + thought partner for all decisions going forward.
One is vastly more valuable than the other.
Setting up a offshore office takes time and focus that could be spent on other initiatives etc.
1) Is this worthwhile? Looks like ~500 CPU cores were saved (are these real cores, or does this include hyperthread cores?). I don't know cloudflare's costs, but this seems like single digit servers and probably savings only in the $XX,XXX range. Not nothing, but do you expect a positive ROI on engineering?
2) If you do want to go to this detail, did you consider in putting the filter at the deserialization step, preventing the headers from being created in the first place?