@Sarge_Castic@Breaking911 look at what the man was looking at and then consider who showed up in that spot after. The man was avoiding the shooter, who was headed to the man's direction. The man was in the clear side, the shooter was on the man's side because the cops were on the other line.
Jensen Huang: "People with really high expectations have very low resilience."
"I think one of my great advantages is that I have very low expectations. And I mean that.
Most of the Stanford graduates have very high expectations. And you deserve to have high expectations because you came from a great school.
You were very successful. You're top of your class.
Obviously, you were able to pay for tuition. And then you're graduating from one of the finest institutions on the planet.
You're surrounded by other kids that are just incredible. You naturally have very high expectations.
People with very high expectations have very low resilience. And unfortunately, resilience matters in success.
I don't know how to teach it to you except for I hope suffering happens to you. And I was fortunate that I grew up with my parents providing a condition for us to be successful on the one hand, but there were plenty of opportunities for setbacks and suffering.
And to this day, I use the phrase pain and suffering inside our company with great glee. And I mean that. Boy, this is going to cause a lot of pain and suffering.
And I mean that in a happy way, because you want to train, you want to refine the character of your company.
You want greatness out of them. And greatness is not intelligence.
Greatness comes from character, and character isn't formed out of smart people.
It's formed out of people who suffered.
And so if I could wish upon you, I don't know how to do it. For all of you Stanford students, I wish upon you ample doses of pain and suffering."
Tennis is a sport of two games with one name.
In pro tennis, the players win 80% of the points through superior skill.
In ordinary tennis, the players lose 80% of the points by making mistakes.
If you want to win in ordinary tennis, the variety most of us play, is to simply make fewer errors than your opponent does.
Instead of trying for brilliant shots, just return the ball methodically and let your opponent err.
Ordinary tennis consists in large part of a wide assortment of errors that can be gloriously and exclusively claimed by the person who committed them.
You could make similar assumptions about other competitive endeavors such as warfare and golf .
Markets are different from sports in that you are competing not against any other individual or team, but rather against the collective wisdom, or madness, of the crowd.
But the main lesson remains it’s often easier to succeed by making fewer mistakes than it is by being more brilliant.
Methods to improve decisions - @mjmauboussin
@hazeflow_xyz This seems stupid and silly but is there a fill in option? If I draw in manually 2 lines and close a loop and group them I am unable to fill in the loop with either a custom tile set nor the preset options unless I make a contiguous figure with the draw tool. Thanks!
Announcing The AI Showdown
OpenAI, Anthropic, and Google are partnering with Lovable to host The AI Showdown this weekend: a public comparison of the world’s leading AI models.
During the weekend everyone will have unlimited free access to Lovable (with occasional rate limiting during high demand). For the first time, users will be able to switch between these AI models and see how each performs at vibe coding inside Lovable compared to each other.
The goal of The AI Showdown is to see beyond traditional benchmarks and instead surface public perception. By opening up access and encouraging public analysis, we aim to bring transparency to one of the most important questions in software today: Which AI is best at writing code?
To support this, we’re launching two open competitions:
- Content challenge ($25,000 prize): Create the best model benchmarking content focused on comparing the capabilities of the models across practical use cases.
- Build challenge ($40,000 prize): A build challenge to showcase what each model can create inside Lovable.
Winners will be selected by Lovable, OpenAI, Anthropic, Google, and our board of judges. You can participate and follow the live model comparison dashboard at: https://t.co/Mu6mDkCPVI
It officially starts this Saturday at 8AM CET.
much of the AI internet is down now
firebase is down, cursor is down, lovable is down, supabase is down, google ai is down, cursor is down, aws is down... almost everything is down.
finally time to catch up on the 87 tools, 14 models, and 12 AI startup ideas we want to build.
Graph understanding of world on Y axis and amount of knowledge on X axis. Will look like a staircase. Climbing comes when a new ideas help explain a large part of your world beyond that idea. Plateaus occur while linking many ideas, leading to next step
@stefanjobe_ I think many are motivated to action by jury rigging the systems they already had in place. ie. if religion or science are lenses you use, restate the new discipline in those terms (I am being a good christian if i abstain or the AMCC grows when you practice restraint)
@garyseconomics@krishgm i mean dont you have to shut down the tax havens of the world? isnt that rent just going to some arbitrage option somewhere on the planet?