vickie

322 posts

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vickie

vickie

@emobobaz

building the cursor for robotics sim • prev @uw @allen_ai @blueorigin @jpmorgan

Seattle, WA Katılım Kasım 2021
323 Takip Edilen145 Takipçiler
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vickie
vickie@emobobaz·
generating robotics training scenes usually takes days of manual work. here’s a raw demo of fluxa: using natural language to build environments in minutes. 🤖✨
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aadilpickle
aadilpickle@aadilpickle·
I spent a week with Farza Majeed. In his own words, he's "just a guy that loves creating things for others", such as: - a $100k/year eBay business selling CDs as a teenager - Zipschool, a better way to homeschool your kids via live classes for 150,000 students - Buildspace, a school for people to work on their own ideas, helping over 200,000 people become app developers, content creators, musicians, writers, or doing anything else they loved Farza is like the internet's big brother. He makes it seem so simple to follow your passion, because he's because he's been doing it for years. He never gives advice, just tells his story and hopes people learn something from it. You look at him and think, "if he can do it, why can't I?" Everyone in Silicon Valley wants something from you, but Farza literally hasn't charged his users for the past 5 years. I'm often shocked at how he's able to afford rent, yet I'm also fairly certain he's going to be a billionaire. After burning out, he's back to founding another company. I wrote for @sfalexandria_ about his journey, how he changes the lives of everyone he meets, and what keeps him going. sfalexandria.com/posts/farzas-c…
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David Song
David Song@_mrdavidsong·
what going to the aquarium taught me about building scalable AI-powered user experiences
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vickie
vickie@emobobaz·
@AIFlow_ML yep so far it is, i’m working on getting it published 😁
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Michelle
Michelle@mykov20·
day 4 of marketing, got a tiktok slideshow to 80k views
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vickie
vickie@emobobaz·
@AIFlow_ML thank u! the aim is to speed up production for research labs and start ups, so they don’t have to spend days/weeks on creating a synthetic data generation scene
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vickie
vickie@emobobaz·
@mykov20 this is fire 🔥🔥🔥
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Michelle
Michelle@mykov20·
the advent of texting and social media has led to an increased focus on written language and images leaving people uncomfortable speaking to people they don’t know well which is why i am bullish on oompf.app
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Cathy Di
Cathy Di@itsCathyDi·
we made all models free for anyone coding over the holidays. merry christmas!
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autodid/acc
autodid/acc@autodidacc_fyi·
program is over. i feel breatheless. i am scared to actually ship it. i must do what i must and just do it. hold me accountable.
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vickie
vickie@emobobaz·
thought i would share a blooper
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Wayne Chi
Wayne Chi@iamwaynechi·
I did industry research and then chose to return for a CS PhD at CMU. A few thoughts on why I chose to do a PhD. In industry research, it’s hard to work on the same problem for long. Timelines change and product incentives shift. As a result, it’s difficult to really develop deep insights into one particular area of research. During a PhD, you can plan out multiple years of research without worrying about external factors. You want to work on diffusion for five years? Simply go do it. This is perhaps the number one reason to do a PhD. Second, industry typically gives you little control over collaborators. It’s difficult to know who you’re going to work with and, once you’re there, you can’t really pick and choose either. At some point, everyone has worked with someone they absolutely do not want to work with. In a PhD, the talent density is incredibly high. I’ve had the opposite problem where I simply want to work with too many people. But, if you do encounter someone you don’t want to work with… simply don’t work with them. Lastly, let’s say you do work for a top-lab where you’re surrounded by brilliant people and everyone has the same long term vision. Guess what… almost everybody around you has a PhD. Not only does this mean you have to prove you are at a PhD level, but mentally it’s annoying knowing that everyone else has a PhD and you don’t. I firmly believe that you can succeed without a PhD, but it’s definitely an uphill battle. Of course, there are many downsides to doing a PhD, most notably money and compute (aka money). Nowadays, a pattern I’ve seen work very well is 2-3 years in industry before the PhD, just to provide yourself some money and comparison. Everyone I know who has done this has been very successful. At the end of the day, the PhD is about buying time and freedom of choice. Whether that’s worth it is up to you.
Severin Hacker@severinhacker

Should you get a PhD in CS/AI? Both seem to be true: 1. 95% of PhDs would have done equally well career-wise without one. 2. 95% of real AI breakthroughs (ImageNet, Transformers) came from PhDs.

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vickie
vickie@emobobaz·
major break through - got an #isaacsim mcp server sever to connect to an agent through @dedaluslabs! updated demo video coming soon 😃
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