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Entertainment

Are you done with ‘The Bear’? Give ‘Street Food: USA’ a shot.

Don’t know what to do this weekend? We’ve got you covered.

Street Food: USA, NFLXdle and Time magazine.

Our favorite picks for your weekend enjoyment.

Image: Netflix; Likewise; Time

This week we’re testing our Netflix knowledge, rewatching “Ex Machina” and hunting for some good grub.

‘Street Food’ > any other food

Are you done watching “The Bear” on Hulu? Then this is the perfect follow-up series. Netflix’s “Street Food” documentary series has been shining a light on some of the best food carts and trucks around the world. Now the show is coming to the U.S., and the season is starting off with what some would consider the street food capital of the world: Los Angeles. What makes the show great is that it doesn’t just find vendors that are representative of the incredibly rich and diverse food culture of L.A., but it also shines a light on the people manning the counter, working the grill and putting their life into their dishes. I dare you to watch the first episode and not wonder where the next taco truck is …

A hearty welcome to our AI overlords

The story of human-made creations turning on their masters has been told for centuries, but rarely in such a mind-bending way. “Ex Machina” makes you question the fine line between heroism and villainy, all while exploring the role of AI in our future. The movie was first released in 2014, but now’s a good time to rewatch it, as Plex is streaming it for free through the end of the month as part of a limited showing of A24 movies.

How well do you know Netflix?

Here’s your chance to prove your couch potato creds: NFLXdle is a minigame that shows the cover art of Netflix originals with varying degrees of pixelation. It’s not a new idea, but the challenging part is that Netflix itself has so many different versions of its cover art. NFLXdle was made by AugX Labs, whose CEO just told us about the role these kinds of minigames play in the company’s product development process.

Axie Infinity has left Filipino gamers despondent and in debt

The story of Axie Infinity is a cautionary tale for anyone interested in the future of gaming and entertainment. The effects of the crypto downturn on average Axie Infinity players has nowhere been more dramatic than in the Philippines, whose players at one point made up 40% of the game’s user base. Time magazine visited some of them to learn how the crypto roller coaster affected their lives.

A version of this story also appeared in today’s Entertainment newsletter; subscribe here.

Janko Roettgers

Janko Roettgers (Twitter, Mastodon) used to be a senior reporter at Protocol, reporting on the shifting power dynamics between tech, media, and entertainment, including the impact of new technologies. Previously, Janko was Variety's first-ever technology writer in San Francisco, where he covered big tech and emerging technologies. He has reported for Gigaom, Frankfurter Rundschau, Berliner Zeitung, and ORF, among others. He has written three books on consumer cord-cutting and online music and co-edited an anthology on internet subcultures. He lives with his family in Oakland.

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Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

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Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

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How is technological innovation breaking down barriers and increasing access to financial services?

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

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The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
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Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

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Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

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Farewell from Protocol

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

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Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

machine learning
Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

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Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

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