Happenstance | Design engineers & AI/infra engineers | Bay Area or Remote (US/Canada) | Full-time | www.happenstance.ai
So much of making progress is about finding the right person at the right time. Happenstance exists to create 10x more of this kind of luck in the world.
Backed by Garry Tan and Elad Gil, we've built the world's best AI person search by a wide margin. No more keyword search; just describe the kind of person you're looking for. We're already used by 1000+ YC alums to accelerate their customer development, sales, and fundraising.
If you like this site, check out (a) 3Blue1Brown's youtube channel for intuitive visualizations of (otherwise) hard math topics, and (b) the book Infinite Powers, for more calculus intuition + history.
Lighthouse AI, Inc. | Palo Alto, CA | ONSITE, VISA, FULLTIME | Relocation available
Lighthouse exists to improve human life by endowing physical spaces with useful and accessible intelligence. We’re starting with the home: tell it what you care about, and it tells you when those things happen.
"Let me know if the kids don't get home by 4pm."
"Tell me if you see someone waving hello while I’m out."
"Did you see anyone new over the weekend?"
It’s made possible by the combination of cutting edge computer vision, natural language understanding, and 3D sensing like you’d find in an iPhone X or a self-driving car. Check us out at our site [0] or in the news [1].
We're hiring across the board:
Senior Web Developer
Deep Learning Engineer
Senior Deep Learning Engineer
Distributed Vision Systems Engineer
Software Engineer (C++)
Manager Quality / SQE / Reliability Engineering
Manufacturing Engineer
See our jobs page [2] or drop us a line at jobs@light.house
Lighthouse AI, Inc. | Palo Alto, CA | ONSITE, VISA, FULLTIME | Relocation available
Lighthouse exists to improve human life by endowing physical spaces with useful and accessible intelligence. We’re starting with the home: tell it what you care about, and it tells you when those things happen.
"Let me know if the kids don't get home by 4pm."
"Tell me if you see someone waving hello while I’m out."
"Did you see anyone new over the weekend?"
It’s made possible by the combination of cutting edge computer vision, natural language understanding, and 3D sensing like you’d find in an iPhone X or a self-driving car. Check us out at our site [0] or in the news [1].
We're hiring across the board:
Senior Software Product Manager
Senior Web Developer
Deep Learning Engineer
Senior Deep Learning Engineer
Supply Base Manager
Distributed Vision Systems Engineer
Software Engineer (C++)
Manager Quality / SQE / Reliability Engineering
Manufacturing Engineer
See our jobs page [2] or drop us a line at jobs@light.house
Generally, I agree with your sentiment regard proper accreditation in the media, but claiming that Thrun doesn't deserve a huge chunk of credit for self-driving cars at Google is thoroughly unsupported by the evidence (check out the history of the DARPA challenges). This article seems to be grasping at a sinister story of a coverup that simply doesn't exist.
From the article: "From then on, we started doing a lot of work with Google," says Majusiak. "We did almost all of their hardware integration. They were just doing software."
Just software? Holy cow. The machine learning, control systems, mapping software, and all the other algorithms in a self-driving car are the really fundamental pieces. It's super important to get the hardware right, and 510 did a great job of that, but the software is the brain.
This newspaper article states "In 2007, a major follow-up [to the 1997 AICR report] all but reversed the findings." They don't cite the study or provide a link, but it's almost certainly the 2007 AICR report.
Fortunately you can take a look for yourself [0]. The published research findings are pretty much the opposite of the Star Tribune's claims that eating healthy has no effect on cancer.
These are the AICR recommendations:
Be as lean as possible without becoming underweight.
Be physically active for at least 30 minutes every day.
Avoid sugary drinks. Limit consumption of energy-dense foods.
Eat more of a variety of vegetables, fruits, whole grains and legumes such as beans.
Limit consumption of red meats (such as beef, pork and lamb) and avoid processed meats.
If consumed at all, limit alcoholic drinks to 2 for men and 1 for women a day.
Limit consumption of salty foods and foods processed with salt (sodium).
Don't use supplements to protect against cancer.
That's odd. The same article was in New York Times, do you know how did they manage to get the opposite conclusions? Maybe it's a different study after all?
