bxtt
Joined 10 years ago
Joined 10 years ago
If China were to interfere domestically into U.S affairs covertly and somehow convince Texas into secession - I would find it difficult to believe the United States would go to war with Texas. If it was democratically voted, most Americans would be fine with it. It would be extremely unpopular to go to war over this. Just reverse it, if California were to leave the Union, most conservative states would say good riddance. Now bomb SF? Not even the most deranged Americans would want that.
I’ve never heard of this stance. I’ve only heard of your stance on Reddit and Twitter within the past two years.
In residential solar, panels are largely subsidized by federal ITC or financed by banks claiming the tax equity which covers the maintenance, upfront costs, etc; hence the zero upfront residential solar model. Will this be similar?
My mom spent the better part of her life as the “COO” of their business, so after being retired for so long, she seeks the mental stimulation of work. They’ve never worked in a corporate office, so seeing the structure and thinking behind Amazon amazes her. They’ve always had their own warehouses, distribution centers, trucking, etc. but they built that from the ground up and never scaled because they were “learning on the job”. Never seen what good looks like.
They both keep to themselves. No one in their section know about their backgrounds.
This is also quite practical for large consultancy firms. Most of the chapters, I’ve had clients discuss with me (such as Responsible AI). Personally, I think it could have went away from the applications as it was too high level.
My family grew up relatively poor and extremely frugal. My dad was formerly a professor in machine learning, but decided to enter the private sector. He didn’t speak much English if at all, and entered the field when it was still immature.
After he was laid off, and with little options left, they decided to use their remaining savings and likely a loan from family & friends to bootstrap a company. My parents never wanted a business, but they had to out of survival. They never discussed the business with us, so I don’t fully understand the operating model behind their company, but it involved with semiconductors/hardware, etc.
What I think about is was this simply a business or during that time a “startup”. It was in a hyper growth period on relatively emerging technology, they were learning as they went, and exited quickly.
Recently, though my dad unretired in his 70s working at a FANG… Amazon warehouse worker. He says he does it for the exercise and $20/hour.
For the past year, I would roughly take 90mg of either Zolpidem/Zopiclone in a single night. On average, I roughly go through 100 pills a week (I have pharmacies that sell to me...I know sketch).
It wasn't always like this, when I first started taking medication after going to Stanford Sleep Clinic, I would just take a pill or two a night and have fantastic sleep. It was like this for several years but eventually my tolerance increased and my work stress/insomnia got worse with age.
I want to reiterate that I've destroyed/damaged every meaningful relationship in my life. I state this all out because I've realized that people have a strange fascination with Ambien.
I think this is an experience that most people will face in their lifetime. I don't necessarily know if this is an Asian experience, and the discussion of family burdens because in our culture the parents would never say a thing about their illness. But, I don't think what they realize is that it puts even more pressure on the children on accepting the right path.
With that being said, I don’t think the benchmarks we currently have are strong enough and the next frontier models are yet to come. I’m sure at this point U.S LLM research firms now understand their lack of infra/hardware optimizations (they just threw compute at the problem), they will begin paying closer attention. Now their RL-level and parent training will become even greater - whilst the newly freed resources to solve for sub-optimizations that have been traditionally avoided due to computational overhead