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That's a San Diego Burrito. A San Franicsco (Mission) burrito, for example, does not have french fries but has Avocado/guacamole.

Shouldn’t IPFS + Filecoin be well-suited for this exact use-case?

The guidance is usually given for exposed arms and legs.

Never underestimate the power of poverty and desperation.

No it is not.

Bladders have been successfully grown and transplanted into patients.

https://3dprintingindustry.com/news/bladder-grown-from-3d-bi...

Tesla is profitable.

https://www.theverge.com/2018/10/24/18019048/tesla-earnings-...

Not that it makes it any better, but they only took down the episode in Saudi Arabia, not globally. The headline makes it sound like they took down the episode altogether.

This is why Google struggles to compete with Amazon and Microsoft in the enterprise cloud space - the trust that these services will be maintained and legacy support provided just isn't there for large enterprise clients.

No.

Minor clarification: LinkedIn primarily runs on Java not Scala.

Likely it'll be a transition technology for businesses still using phone appointments as their primary API, and eventually it'll ease the path for more direct integration.

That’s assuming they are going to plateau at 6k/week, which is certainly not their plan.

Benefits of an electric engine vs. ICE:

1. No oil changes. 2. Fewer moving parts, fewer repairs, longer life. 3. Instant acceleration. 4. Zero emissions. 5. Ability to be fully powered by renewable energy.

I think FileCoin is pretty interesting, and actually based on the economics of scarcity (file storage) thereby providing some concrete value.

If I wanted to invest in lithium, what companies or ETFs should I look at?

The POTUS has nukes and one of the most highly trained and best-equipped militaries in the world. Facebook can be shutdown by POTUS in an instant.

Power is not measured by “users.”

Takes little time to set run Tensorflow from a docker image, or learn from Jupyter notebooks, etc... with fully open source projects where you can consult the source code and see how an algorithm is implemented.

This is exactly the problem -- what you're describing is not easy for anyone outside of tech to do. If you want to, say, run a simple text classification task and have thousands of labels, this is way overkill. Machine learning has the opportunity to become a common place utility for automating repetitive tasks, and the barrier to entry does not need to be learning Tensorflow, Docker, and Jupyter.

This is awesome! I've been waiting for someone to release an Excel-type ML product to make machine learning more accessible. This looks right up that alley, and will probably "democratize" access to ML in a number of fields that tend to be less coding-savvy.

Surprised CoinList isn't mentioned here, as they did a successful ICO for FileCoin and serve as a platform for pretty much this exact use-case.

Focus on making the concept of a "social network" less disruptive from a personal standpoint, and more "complementary." There is a wealth of evidence that Facebook, as it exists today, is toxic to mental health and relationships. If you could create a social network that is seamless and complementary to your existing interactions in the physical world, that would be a compelling product.

How to do it? That's the $1B question.

Passive funds are still actively managed -- just not by the end consumer. I can see the appeal of a passive fund manager being able to make active decisions to benefit their investors.

I disagree. Uber does not having a positive impact on its own employees, although they're proactively trying to change. Lyft seems to have a much stronger reputation of treating people the right way.

This appears to be a hack, or data corruption.

See NASDAQ's official listing ( http://www.nasdaq.com/symbol/amzn/after-hours ). Several other ticker symbols (AAPL, MSFT, etc.) are also affected.

It appears several tech stocks (AAPL, MSFT, AMZN, etc.) have their prices set to 123.47. Definitely pointing to some sort of data corruption.

This appears to be a hack, or data corruption.

See NASDAQ's official listing ( http://www.nasdaq.com/symbol/amzn/after-hours ). Several other ticker symbols (AAPL, MSFT, etc.) are also affected.

Edit: It appears several tech stocks (AAPL, MSFT, AMZN, etc.) have their prices set to 123.47. Definitely pointing to some sort of data corruption.

I prefer https://www.justbeamit.com/

I guarantee you that my comments here will not influence the market rate for top-tier ML experts.

The top of the range you're quoting is for a typical Staff Software Engineer at Google/Facebook/Microsoft. "Top ML experts" garner much, much higher comp packages.

Depends how close to the "top" you are, but yes. 20-30 million/4 years is not unheard of for the very top -- comparable to an acquisition.

The equity packages tend to be in the tens of millions for a 4-year vest.

Source: I am a manager who has given offers to top-tier ML experts.