Recent submissions

Comment · 2 years ago
I have literally the exact same problem.

Now I can sit on my couch in a much more comfortable and ergonomic? position with 4k screen size virtual display.

Plus I can watch movies with the sound on and not wake anyone up.

Comment · 2 years ago
Nah it’s bigger than 1080…

You can choose 4k resolution and get extra real estate

Comment · 2 years ago
Had similar experiences:

Running late, took a webex call from the back of my minivan on my MacBook Pro. Except I had enough screen real estate with the virtual monitor to do work during the boring parts. The best part was going full immersion and hearing the rain falling on a high mountain lake in between people speaking.

I also usually wake up overnight and want to work, but can’t because my office is located in the master bedroom. Now I can sit on my couch and not have to hunch over.

Finally, I took my dog to the dog park and worked with no screen glare and big virtual display

Also, watching movies on the moon is pretty cool.

Comment · 2 years ago
When I saw the iPad demo on that stage with Steve Jobs I thought: it’s a big iPod for old people to look at pictures. Meh.
Comment · 2 years ago
Took the family back to the place where my wife and I met as ski bums (small town in the mountains)

We went to a weekly music event and noticed that people were talking, dancing, laughing while the kids were playing in the grass/dirt and climbing trees. Not a single person was filming.

Felt nice. Not saying it’s not ok to be on your phone, but it does seem to act as “social armor” allowing people an easy way to avoid full immersion in situations.

Comment · 2 years ago
Im not trolling here either.

Genuinely wondering who your heroes are?

Could be a case of mismatched focuses. If someone is focused on tech, they might idealize Musk or Jobs. If someone has roots in the financial realm, they might thing Buffet is their hero.

That’s why I’m asking. Is it possible you can’t understand why Munger is a hero to some because you don’t live in that world?

For the record my heroes are Steve Irwin and my Aunt Patty, so it’s also completely subjective and highly contextual.

Comment · 3 years ago
Same here. I find it lowers the barrier to entry for me starting something, it also sends me down roads I would not have travelled before, which expand my range of solutions to problems.

It does all this in sub 10% of the time I would have spent “googling” things.

I don’t want it to write the whole thing for me anyway :)

Comment · 3 years ago
I think either way, your leadership has an impact. Clearly there’s been some internal strife for a minute, but the amount of innovation coming out of this company in the last year or two has been staggering.

Altman now doubt played a role in that, objectively this means change. Just not sure in which direction yet.

Comment · 3 years ago
Exactly, I have to weigh whether this means I unwind some google shorts, or if the cat is out of the bag and google is still in trouble.

Can’t tell, but this news is a pain in my a$$

Thanks for the drama openai.

Comment · 3 years ago
I was equating this to the rise of chatgpt
Comment · 3 years ago
This is correct. It’s either video games or the electric car.
Comment · 3 years ago
I did this a few years back using the .gov database and it never caught on. Will see if I can dig it up sometime and put it back online
Comment · 3 years ago
I believe LoRA developed after GPT-4’s cutoff date. So this appears to have come from a human…
Comment · 3 years ago
The real take away is that he’s out front shaping regulation before it impacts him.

In the US he knows it’s easy to manipulate our policy with a little song and dance because our policy makers don’t understand what they are looking at.

It’s a different story in the EU where you have competent leaders.

That seems to be the reason for the inverse approach.

US: “let me help you write the regulations ;)”

EU: “you’re gonna be behind it you regulate me :0”

Comment · 3 years ago
Yeah it’s tough to tell.

I could see a world where if you create the right architecture then complex tasks can be broken into smaller individual tasks where your only concern is the outcome and not the underlying code. Very deterministic

Essentially all the things we developers care about might not matter. Who cares if the LLM repeats itself? DRY won’t apply anymore because there might not be a reason to share code!

LLM go brrrr until it gets the right output and the code turns into more “machine learning black box” stuff

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