New Washington Post editorial: All schools should go phone free. Cites stunning stat that 97% of teens say they use their phones during school hours, esp. for TikTok. Phones are kryptonite for learning.
Parents: please send the editorial to school admins
https://t.co/t6eAEojEfd
"What's your runway?"
- If the company is NOT profitable, it depends on VC funding.
- While the company is not profitable, that money will be burned and the company will need to raise more.
- Runway means "# months until the money runs out".
- 18+ months is good. 24+ ideal.
Irony of getting this while walking around Swiss Cottage... The authors do not seem to be familiar with DeFi and web3 concepts but they probably represent a fraction of the population.
Google may be only a year or two away from total disruption. AI will eliminate the Search Engine Result Page, which is where they make most of their money.
Even if they catch up on AI, they can't fully deploy it without destroying the most valuable part of their business!
ChatGPT is potentially the biggest threat to Google's market dominance. Both fundamentally answer questions - but the cleanliness and quality of the AI responses are mind-boggling. We're witnessing the birth of a new paradigm.
@elonmusk Sudden realization: modern humans never had to coexist with other subspecies of our evolutionary tree but will soon have to do so with AI. This has profound implications. What a fascinating moment to be alive!
@ML_Philosophy Curiosity: Intelligent people tend to have a natural curiosity and a desire to learn and understand more about the world around them. They may ask a lot of questions, seek out new information and experiences, and be open to new ideas and perspectives.
ChatGPT has fantastic answers about common engineering leadership questions - but the AI struggles to provide deeper insights following its first response. Incredibly impressive results nevertheless!
@IgneousSigil@warren__terra@rykerwarren@ZoeSchiffer I did a quick spot check of ~20 Twitter engineering profiles using my LinkedIn network and 3/4 of them were from individuals who studied in the US, i.e. not likely to be visa workers. Not statistically valid but enough to become curious where the data about H1Bs came from?