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Slim.ai announces $6.6M seed to build container DevOps platform

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We are more than seven years into the notion of modern containerization, and it still requires a complex set of tools and a high level of knowledge on how containers work. The DockerSlim open source project developed several years ago from a desire to remove some of that complexity for developers.

Slim.ai, a new startup that wants to build a commercial product on top of the open source project, announced a $6.6 million seed round today from Boldstart Ventures, Decibel Partners, FXP Ventures and TechAviv Founder Partners.

Company co-founder and CEO John Amaral says he and fellow co-founder and CTO Kyle Quest have worked together for years, but it was Quest who started and nurtured DockerSlim. “We started coming together around a project that Kyle built called DockerSlim. He’s the primary author, inventor and up until we started doing this company, the sole proprietor of that of that community,” Amaral explained.

At the time Quest built DockerSlim in 2015, he was working with Docker containers and he wanted a way to automate some of the lower level tasks involved in dealing with them. “I wanted to solve my own pain points and problems that I had to deal with, and my team had to deal with dealing with containers. Containers were an exciting new technology, but there was a lot of domain knowledge you needed to build production-grade applications and not everybody had that kind of domain expertise on the team, which is pretty common in almost every team,” he said.

He originally built the tool to optimize container images, but he began looking at other aspects of the DevOps lifecycle including the author, build, deploy and run phases. He found as he looked at that, he saw the possibility of building a commercial company on top of the open source project.

Quinn says that while the open source project is a starting point, he and Amaral see a lot of areas to expand. “You need to integrate it into your developer workflow and then you have different systems you deal with, different container registries, different cloud environments and all of that. […] You need a solution that can address those needs and doing that through an open source tool is challenging, and that’s where there’s a lot of opportunity to provide premium value and have a commercial product offering,” Quinn explained.

Ed Sim, founder and general partner at Boldstart Ventures, one of the seed investors sees a company bringing innovation to an area of technology where it has been lacking, while putting some more control in the hands of developers. “Slim can shift that all left and give developers the power through the Slim tools to answer all those questions, and then, boom, they can develop containers, push them into production and then DevOps can do their thing,” he said.

They are just 15 people right now including the founders, but Amaral says building a diverse and inclusive company is important to him, and that’s why one of his early hires was head of culture. “One of the first two or three people we brought into the company was our head of culture. We actually have that role in our company now, and she is a rock star and a highly competent and focused person on building a great culture. Culture and diversity to me are two sides of the same coin,” he said.

The company is still in the very early stages of developing that product. In the meantime, they continue to nurture the open source project and to build a community around that. They hope to use that as a springboard to build interest in the commercial product, which should be available some time later this year.

Lyron Foster is a Hawaii based African American Musician, Author, Actor, Blogger, Filmmaker, Philanthropist and Multinational Serial Tech Entrepreneur.

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Elon Musk says Tesla Semi is ready for production, but limited by battery cell output

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Tesla CEO Elon Musk said on the company’s 2020 Q4 earnings call that all engineering work is now complete on the Tesla Semi, the freight-hauling semi truck that the company is building with an all-electric powertrain. The company expects to begin deliveries of Tesla Semi this year, the company said in its Q4 earnings release, and Musk said the only thing limiting their ability to produce them now is the availability of battery cells.

“The main reason we have not accelerated new products – like for example Tesla Semi – is that we simply don’t have enough cells for it,” Musk said. “If we were to make the Semi right now, and we could easily go into production with the Semi right now, but we would not have enough cells for it.”

Musk added that the company does expect to have sufficient cell volume to meet its needs once it goes into production on its 4680 battery pack, which is a new custom cell design it created with a so-called ‘tables’ design that allows for greater energy density and therefore range.

“A Semi would use typically five times the number of cells that a car would use, but it would not sell for five times what a car would sell for, so it kind of would not make sense for us to do the Semi right now,” Musk said. “But it will absolutely make sense for us to do it as soon as we can address the cell production constraint.”

That constraint points to the same conclusion for the possibility of Tesla developing a van, Musk added, and the lifting of the constraint will likewise make it possible for Tesla to pursue the development of that category of vehicle, he said.

Tesla has big plans for “exponentially” ramping cell production, with a goal of having production capacity infrastructure in place for a Toal of 200 gigawatt hours per year by 2022, and a target of being able to actually produce around 40% of that by that year (with future process improvements generating additional gigawatt hours of cell capacity  in gradual improvements thereafter).

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Pro-Trump Twitter figure arrested for spreading vote-by-text disinformation in 2016

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The man behind a once-influential pro-Trump account is facing charges of election interference for allegedly disseminating voting disinformation on Twitter in 2016.

Federal prosecutors allege that Douglass Mackey, who used the name “Ricky Vaughn” on Twitter, encouraged people to cast their ballot via text or on social media, effectively tricking others into throwing away those votes.

According to the Justice Department, 4,900 unique phone numbers texted a phone number Mackey promoted in order to “vote by text.” BuzzFeed reported the vote-by-text scam at the time, noting that many of the images were photoshopped to look like official graphics from Hillary Clinton’s presidential campaign.

Some of those images appeared to specifically target Black and Spanish-speaking Clinton supporters, a motive that tracks with the account’s track record of white supremacist and anti-Semitic content. The account was suspended in November 2016.

At the time, the mysterious account quickly gained traction in the political disinformation ecosystem. HuffPost revealed that the account was run by Mackey, the son of a lobbyist, two years later.

“… His talent for blending far-right propaganda with conservative messages on Twitter made him a key disseminator of extremist views to Republican voters and a central figure in the alt-right’ white supremacist movement that attached itself to Trump’s coattails,” HuffPost’s Luke O’Brien reported.

Mackey, a West Palm Beach resident, was taken into custody Wednesday in Florida.

“There is no place in public discourse for lies and misinformation to defraud citizens of their right to vote,” Acting U.S. Attorney for the Eastern District of New York Seth D. DuCharme said.

“With Mackey’s arrest, we serve notice that those who would subvert the democratic process in this manner cannot rely on the cloak of Internet anonymity to evade responsibility for their crimes.”

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Tesla is willing to license Autopilot and has already had “preliminary discussions” about it with other automakers

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Tesla is open to licensing its software, including its Autopilot highly-automated driving technology, and the neural network training it has built to improve its autonomous driving technology. Tesla CEO Elon Musk revealed those considerations on the company’s Q4 earnings call on Wednesday, adding that the company has in fact already “had some preliminary discussions about licensing Autopilot to other OEMs.”

The company began rolling out its beta version of the so-called ‘full self-driving’ or FSD version of Autopilot late last year. The standard Autopilot features available in general release provide advanced driver assistance (ADAS) which provide essentially advanced cruise control capabilities designed primarily for use in highway commutes. Musk said on the call that he expects the company will seek to prove out its FSD capabilities before entering into any licensing agreements, if it does end up pursuing that path.

Musk noted that Tesla’s “philosophy is definitely not to create walled gardens” overall, and pointed out that the company is planning to allow other automakers to use its Supercharger networks, as well as its autonomy software. He characterized Tesla as “more than happy to license” those autonomous technologies to “other car companies,” in fact.

One key technical hurdle required to get to a point where Tesla’s technology is able to demonstrate true reliability far surpassing that of a standard human driver is transition the neural networks operating in the cars and providing them with the analysis that powers their perception engines is to transition those to video. That’s a full-stack transition across the system away from basing it around neural nets trained on single cameras and single frames.

To this end, the company has developed video labelling software that has had “a huge effect on the efficiency of labeling,” with the ultimate aim being enabling automatic labeling. Musk (who isn’t known for modesty around his company’s achievements, it should be said) noted that Tesla believes “it may be the best neural net training computer in the world by possibly an order of magnitude,” adding that it’s also “something we can offer potentially as a service.”

Training huge quantities of video data will help Tesla push the reliability of its software from 100% that of a human driver, to 200% and eventually to “2,000% better than the average human,” Musk said, while again suggesting that it won’t be a technological achievement the company is interested into keeping to themselves.

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