olladecarne

The pitchforks are out because even without that part, it's still a scumbag move to try to frontrun the mathematicians who were working on this for years after OpenAI heard that they were close to releasing their results. Just identifying that one of these problems is solvable takes a lot of work. The only reason OpenAI got this result is because the mathematician shared with colleagues that he had made significant progress and was close to solving it, and OpenAI could not accept that so they decided to throw tens of millions to make sure it doesn't happen without them getting all the glory. Notice that their paper doesn't even have an author since they're probably all aware of how awful that would look, and no one wanted to take on the shame. They probably also knew that the paper was trash and no one involved could understand it, and didn't even cite many of the people who contributed to all of that knowledge. It's just a disgusting act any way you slice it, even without training on the prompts or the nasty communication by the OpenAI leaders.

Same in someone I know, shifted between bipolar and schitzoaffective and schitzophrenia. Bipolar during manic episode, later schizoaffective. A lot of paranoia and also delusions, but also refused medication due to side effects (and probably the disorder itself).

I used to use Airbnb all the time but a single experience dealing with their customer service and a bad host was enough for me to never use them again. The lows of using Airbnb are 100x lower than the lows of hotels, and the highs are higher but not nearly enough to justify the risk.

I dropped out of high school, moved countries, finished high school, dropped out of college, went back to a different one. I wasn't dumb, I always had >99th percentile test scores, but I couldn't concentrate. Now I work at Big Tech since I'm good at interviews. However I did study algorithms VERY intensely. As in I read every textbook and did every exercise. Easily >1000 hours.

Why should the 99% accept a governance structure where they get only 1% of the power/wealth? I think the core issue is wealth inequality, and although I initially liked UBI, it doesn't really solve that issue. If we don't solve it, I wouldn't be surprised to see a situation where we end up with another failed attempt at communism/revolution and everyone loses.

It was much better 5+ years ago. It's impossible to maintain high code standards when a company grows as fast as Google has. Eventually the law of large numbers applies. It's probably still better due to starting from a stronger base, but they are all converging.

My experience has been similar at other large companies (MSFT, Google). My advice is to look for founder-led teams (not companies). If there are plenty of founders still on the team, they will likely care a lot about the product and code and hold everyone to high standards which make the work easier in the long run. On the other hand when I've been on teams where all the original founders left, it's been a constant struggle to make anyone care about anything. At that point there is no ownership and most people are there for a paycheck. Lots of sloppy code gets shipped, everyone approves anything that looks like code, and eventually adding a single line anywhere feels like playing Russian roulette. Extreme short term thinking takes hold and no one cares that in 2-3 years the code will be unmaintainable because they don't plan to be on the team by then.

Is there any difference in performance?

Lack of high end tech will be the least of your problems if China and the US get into a hot war.

One thing I noticed is that on GCP if you create a a2-ultragpu (Nvidia a100 80gb) and you select a spot instance, the price estimate goes down to $0.33 hourly ($240/m) which sounds really good if it's not a mistake. I was wondering if you could then turn a single A100 into 7 GPUs using Multi-instance GPUs. So on an 80gb one you get 7 10GB GPUs (can't have 8 due to yield issues on those cards). I'm pretty sure that will run much slower than on the full instance, but not 7x slower so if you're running a larger service at scale this could be an option to parallelize things. If someone is able to get that running please let me know how it performs.

The next thing I considered was just buying up a ton of 3060 12gb cards (saw a few new ones for $330) and just hosting a server from my house. This might be a good option if you don't care about speed but care about throughput.

RTX 3090s are also decent in terms of price per iteration of Stable Diffusion. If you want to build a fast service like Dreamstudio I think it's the only option to be able to do it at a reasonable price. If you want to host these in the cloud using consumer RTX cards, you'll have to go with less reputable hosts since Nvidia doesn't allow it. I don't want to name any since I can't vouch for them, but there are some if you search. The cheapest option will be to buy them and host it yourself.

I'm still researching what the best price/performance is for hosting this so if you have any findings please share.

ML revolutionized translation a long time ago and the demand and pay for translators went down. It also used the works of thousands of humans who translated text and they never saw a dime. Copyright applies to translations so we've already gone through something similar. The same will happen with art and every other medium that ML touches. I have a love/hate relationship with ML because of this. It seems that there will be a painful transition period as many humans are displaced, probably even average coders like me. In a way, it's no different than what a human does but humans can't scale like computers. I hope someone can engineer a new economic system that works for what's coming.

I've been thinking about this and I think this is a problem all companies face. The best employees are confident and know they can get a job anywhere anytime so they leave. The worst are less confident and never leave. How do you keep the former and get rid of the latter?

When Airbnb is bad, it's really bad. You're gambling with the possibility of completely ruining whatever trip you had in mind. I've had both cases where a host cancelled last minute and also where I tried to cancel months in advance and was denied. Both of those experiences cost me more than I'll ever save by using Airbnb in my lifetime. I'm never using Airbnb again if I can help it. The last time I booked a hotel I felt so much less stressed and I realized whatever premium they charge is 100% worth it.