J

[J @iPutBack]

@somefoundersalt @GeffenAvraham H. R. Giger's cube in the physics building of ETH, Zurich, Switzerland

Please have alien engravings on your hardware 🥺

[J @iPutBack]

@sarkpix @Skate_a_book Did you report it in the Tesla app? If you provide the video clips and time of recording they'll send it to the software teams

[Cybertruck @cybertruck]

*freedom intensifies*

[J @iPutBack]

@PetrellaRealty 🥺

[nature @Nature]

This penguin survives on 4-second microsleeps — thousands of times a day https://t.co/lqnQbF47KL

[Phil Eaton @eatonphil]

Any other groups like https://t.co/985yHSnn6A that have complete, public domain implementations of various algorithms and data structures across a few programming languages?

rosettacode isn't often great because half the "implementations" just use a built in library.

[J @iPutBack]

@YunTaTsai1 @synthesischool You think it's scalable? Like, could this be used as a dataset of high-quality teaching content to generate more teaching content?

[Niko McCarty. @NikoMcCarty]

The smallest flying insects, of the genus Megaphragma, are smaller than a single-celled amoeba.

An adult wasp has 4,600 neurons, compared to a house fly with 340,000.

Their neurons also don't have a nucleus, which enabled their brains to shrink by 50%.

[J @iPutBack]

@lrocket Would you be interested in driving the WR breaking car from ETH Zürich? It'd be an honor to have you around. https://t.co/lerDcraION

[World of Engineering @engineers_feed]

High level engineering https://t.co/zwFD5K80vW

[J @iPutBack]

@bryan_johnson Can you explain the effects of grounding?
And should it also be used outside of sleep?

[J @iPutBack]

@francoisfleuret @mmbronstein @AI2S2Symposium @unige_en What are your main takeaways? How does architecture influence learning?

[J @iPutBack]

@deshrajdry @full_stack_dl @josh_tobin_ @deshrajdry a recommendation for RL ?

[J @iPutBack]

@shivon What's the difference between Neuralink in Austin and Neuralink in Fremont?

[J @iPutBack]

@EdwardMehr White bouncy castle, very bad design, 4K HD

[J @iPutBack]

@JLopas What's your current strategy?

[J @iPutBack]

@fireflyspace Awesome!
Is it possible to visit the facilities ?

[Thomas @MrTeslaTom]

As a Tesla Hiring Manager, I interviewed and hired 100’s of applicants over a 10 year timespan. Here are some things that top-performing candidates and employees did. Follow along if this stuff interest you:

1: They were genuinely aligned with Tesla’s mission. It really helps to feel part of the mission. The environment at Tesla is simply too fast-paced to just “chug along”. Of course, if you get hired, finding your own balance is also critical. Working at Tesla can be a lot, but having that fire in your belly really helps.

2: They applied for a position they actually wanted. I saw it so many times over 10 years. MBAs applying for an entry level job, not to do the job, but to “get their foot in the door”. There was a one year minimum in the job before promotion or internal move at Tesla and these candidates were generally unhappy after weeks in the job. We stopped hiring them after a little while.

3: Sounds simple, but they’d read Tesla’s website (many times) before their interview rounds. There is so much information out there and it is condensed on Tesla’s website. It was painful, when talking to a candidate who didn’t know basic product information or current events around what was happening at Tesla. That’s not to say they wouldn’t have done a good job, but the competition is so steep, we had to filter those candidates out.

4: Hot-Tip - prepare some examples of your past achievements or obstacles you’ve overcome using the STAR method (Situation - Task - Action - Result). This will help you stay succinct in your interview. Thank me later.

5: The best candidates thrived in a mission-oriented meritocracy, where performance isn’t left to chance. They’re aligned with the mission and they do measurable work. Tesla is a place, where you can really thrive as a top performer.

6: The P&D numbers that Tesla publishes at the end of every quarter are caused by thousands of employees, hundreds of teams and senior managers all making their individual targets. KPIs (Key Performance Indicators) are tracked throughout the quarter. The emphasis on each KPI changes throughout the quarter. Once in the job, the best performers paced themselves throughout the quarter and had defined what part of their own behaviour was causing a positive influence on their KPIs. Then they did more of it.

7: They didn’t e-mail Elon in their first week. OK, kind of a joke here, but yeah don’t email Elon to suggest Supercharger locations. If it’s something safety or company critical fair enough, but in reality there are a hundred people in the company that can solve your problem, other than Elon.

8: They were self-motivated and made it their business to know their job inside out. Again I had people without a degree in my team who made it to Senior Manager because they were curious and had a savage work ethic and I had others with a Masters degree, who couldn’t make it to work on time..and of course everything in between.

9: They were team players. Generally everyone had a day, sometimes weeks or even longer, where for whatever reason, their performance dipped. Most noticed this themselves, but if you’re part of the team, your team-mates will help you get back on your feet. Be a team player.

10: That’s it. Hope that helps. Follow along if this kind of stuff interest you.

[J @iPutBack]

@Campstreamgear 🔥
It was good to meet you at the event.
Let me know when I can come visit you guys in Sweden :)

[J @iPutBack]

@goldenkatepark Do you see a clear reason why insights from Neuroscience aren't incorporated more into ML approaches? Yes, the transfer between the two fields isn't trivial, but improving over an existing ML solution isn't either.
What would be your step-by-step approach?