LA Tech Updates: Fisker to Go Public; LA Bars, Gyms and Salons Go Dark Again; Apple Gives $400M to Stem Housing Crisis

Rachel Uranga

Rachel Uranga is dot.LA's Managing Editor, News. She is a former Mexico-based market correspondent at Reuters and has worked for several Southern California news outlets, including the Los Angeles Business Journal and the Los Angeles Daily News. She has covered everything from IPOs to immigration. Uranga is a graduate of the Columbia School of Journalism and California State University Northridge. A Los Angeles native, she lives with her husband, son and their felines.

Fisker

Here are the latest updates on news affecting Los Angeles' startup and tech communities. Sign up for our newsletter and follow dot.LA on Twitter for more.

Today:

  • LA Bars, Gyms and Salons Go Dark Again
  • Fisker set to go public with $2.9b valuation, EV SUV to roll out by 2022
  • Apple Allocates $400M to Affordable Housing in California

        Southern California Bars, Restaurants, Salons, Gyms, Places of Worship Must Shut Down Indoor Operations Amid Surge in COVID-19 Cases

        Image courtesy of Musso & Frank's

        Bars, gyms, places of worship, salons and offices for non-critical sectors will largely go dark again in Southern California. As coronavirus cases surge, Gov. Gavin Newsom announced a list of new statewide restrictions and targeted closures in 30 counties including Los Angeles.

        Statewide, all bars, dine-in restaurants, wineries, movie theaters, museums, card rooms and entertainment centers must close indoor operations, Newsom said on Monday.

        "This is a new statewide action effective today," he said.

        In counties on the state's watch list, which include Los Angeles, Riverside, San Bernardino and Ventura counties, personal care services including salons and barbershops, along with indoor malls and fitness centers must close indoor operations.

        Those on the watchlist are among the most populous parts of the state, containing about 80% of Californians.

        Restaurants are still allowed to stay open for outdoor dining and takeout.

        As of Monday, California had more than 329,000 cases and 7,040 deaths.

        Fisker Set to Go Public with $2.9b Valuation, EV SUV to Roll Out by 2022

        Electric car startup Fisker is set to go public through a merger that values the company at $2.9 billion and allows it to begin producing its first vehicle by 2022.

        Los Angeles-based Fisker announced the deal with Spartan Energy Acquisition Corp, a special purpose acquisition company backed by private equity firm Apollo Global Management on Monday. It comes as investors look for the next Tesla Inc, which has seen soaring valuation in recent weeks.


        The deal - expected to close by the end of the fourth quarter - will give Fisker more than $1 billion in gross proceeds to jumpstart production of Fisker Ocean, the vision of founder Henrik Fisker, CEO and chariman of the eponymous named startup. The arrangement spotlights the use of special purpose acquisition companies, known as a SPACs. Another SPAC enabled electric-vehicle startup Nikola Corp to go public last month. Nikola shares have soared since their debut.

        The Fisker Ocean, which premiered at the Consumer Electronics Show earlier this year, starts at $37,499 and is being billed as the most sustainable vehicle, replete with a vegan interior and recycled carpet. Reservations for the either purchase or lease start at $250.

        "This vote of confidence from investors, coupled with our exciting progress on the development of our first vehicle, lays out Fisker's path to 2022 and beyond," said Fisker, a one time Aston-Martin designer.

        He told CNBC that the agreement was the best way to get the line of vehicles produced, but said the company does not intend to build its own plant. While the EV market is expected to soar in coming years, startups struggle to find funding for the capital intensive demands of building a car.

        "Our funding, product plans and brand development actions are on course," Fisker said in the announcement. "Prototype vehicles are expected to start durability testing by the end of this year, and we continue to make significant progress on the development of our sales and service proposition."

        Fisker's previous venture, Fisker Automotive, fell into bankruptcy in 2013 and was bought by a Chinese group that rebranded it Karma. That company, which has been struggling after several layoff rounds and restructuring, last week secured $100 million from investors. It hopes to use that to raise a total of $300 million and roll out a line of electric vehicles.

        Apple Allocates $400M to Stem California's Housing Crisis

        white and brown wooden house during night timePhoto by Carl Nenzen Loven on Unsplash

        Apple announced today that it has allocated its first $400 million toward addressing California's housing crisis. The Silicon Valley giant had said last November it would commit $2.5 billion to the effort over multiple years.

        Apple first partnered with Housing Trust Silicon Valley in hopes of bringing affordable housing and mortgage assistance to the Bay Area. Now, they're expanding their partnership to California House Finance Agency (CalHFA), a state agency that supports renters and homebuyers in two ways: Their single family division allows families to apply for loans and work with loan officers directly to tailor a plan to their income. Their multifamily division helps housing developers apply for loans to create more affordable housing.

        The funding is heavily concentrated around the Silicon Valley and the Bay Area, but cities statewide will be able to apply for their housing assistance in areas throughout the state where the company is present, including Culver City.

        "Affordable housing means stability and dignity, opportunity and pride. When these things fall out of reach for too many, we know the course we are on is unsustainable, and Apple is committed to being part of the solution," said Tim Cook, Apple's CEO, in a press release.

        The company is dividing its financial assistance to have the broadest possible impact: $1 billion for an affordable housing investment fund, $1 billion for first-time homebuyer mortgage assistance fund, $300 million Apple-owned land for affordable housing, $150 million Bay Area housing and $50 million to support vulnerable populations.

        The low-cost housing efforts will roll out over the next five years across the Bay Area, but two of the four programs are already underway.

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        Creandum’s Carl Fritjofsson on the Differences Between the Startup Ecosystem in Europe and the U.S.

        Decerry Donato

        Decerry Donato is a reporter at dot.LA. Prior to that, she was an editorial fellow at the company. Decerry received her bachelor's degree in literary journalism from the University of California, Irvine. She continues to write stories to inform the community about issues or events that take place in the L.A. area. On the weekends, she can be found hiking in the Angeles National forest or sifting through racks at your local thrift store.

        Carl Fritjofsson
        Carl Fritjofsson

        On this episode of the LA Venture podcast, Creandum General Partner Carl Fritjofsson talks about his venture journey, why Generative-AI represents an opportunity to rethink products from the ground up, and why Q4 2023 and Q1 2024 could be "pretty bloody" for startups.

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        AI Is Rapidly Advancing, but the Question Is, Can We Keep Up?

        Lon Harris
        Lon Harris is a contributor to dot.LA. His work has also appeared on ScreenJunkies, RottenTomatoes and Inside Streaming.
        AI Is Rapidly Advancing, but the Question Is, Can We Keep Up?
        Evan Xie

        One way to measure just how white-hot AI development has become: the world is running out of the advanced graphics chips necessary to power AI programs. While Intel central processing units were once the most sought-after industry leaders, advanced graphics chips like Nvidia’s are designed to run multiple computations simultaneously, a baseline necessity for many AI models.

        An early version of ChatGPT required around 10,000 graphics chips to run. By some estimates, newer updates require 3-5 times that amount of processing power. As a result of this skyrocketing demand, shares of Nvidia have jumped 165% so far this year.

        Building on this momentum, this week, Nvidia revealed a line-up of new AI-related projects including an Israeli supercomputer project and a platform utilizing AI to help video game developers. For smaller companies and startups, however, getting access to the vital underlying technology that powers AI development is already becoming less about meritocracy and more about “who you know.” According to the Wall Street Journal, Elon Musk scooped up a valuable share of server space from Oracle this year before anyone else got a crack at it for his new OpenAI rival, X.AI.

        The massive demand for Nvidia-style chips has also created a lucrative secondary market, where smaller companies and startups are often outbid by larger and more established rivals. One startup founder compares the fevered crush of the current chip marketplace to toilet paper in the early days of the pandemic. For those companies that don’t get access to the most powerful chips or enough server space in the cloud, often the only remaining option is to simplify their AI models, so they can run more efficiently.

        Beyond just the design of new AI products, we’re also at a key moment for users and consumers, who are still figuring out what sorts of applications are ideal for AI and which ones are less effective, or potentially even unethical or dangerous. There’s now mounting evidence that the hype around some of these AI tools is reaching a lot further than the warnings about its drawbacks.

        JP Morgan Chase is training a new AI chatbot to help customers choose financial securities and stocks, known as IndexGPT. For now, they insist that it’s purely supplemental, designed to advise and not replace money managers, but it may just be a matter of time before job losses begin to hit financial planners along with everyone else.

        A lawyer in New York just this week was busted by a judge for using ChatGPT as part of his background research. When questioned by the judge, lawyer Peter LoDuco revealed that he’d farmed out some research to a colleague, Steven A. Schwartz, who had consulted with ChatGPT on the case. Schwartz was apparently unaware that the AI chatbot was able to lie – transcripts even show him questioning ChatGPT’s responses and the bot assuring him that these were, in fact, real cases and citations.

        New research by Marucie Jakesch, a doctoral student from Cornell University, suggests that even users who are more aware than Schwartz about how AI works and its limitations may still be impacted in subtle and subconscious ways by its output.

        Not to mention, according to data from Intelligent.com, high school and college students already – on the whole – prefer utilizing ChatGPT for help with schoolwork over a human tutor. The survey also notes that advanced students tend to report getting more out of using ChatGPT-type programs than beginners, likely because they have more baseline knowledge and can construct better and more informative prompts.

        But therein lies the big drawback to using ChatGPT and other AI tools for education. At least so far, they’re reliant on the end user writing good prompts and having some sense about how to organize a lesson plan for themselves. Human tutors, on the other hand, have a lot of personal experience in these kinds of areas. Someone who instructs others in foreign languages professionally probably has a good inherent sense of when you need to focus on expanding your vocabulary vs. drilling certain kinds of verb and tense conjugations. They’ve helped many other students prepare for tests, quizzes, and real-world challenges, while computer software can only guess at what kinds of scenarios its proteges will face.

        A recent Forbes editorial by academic Thomas Davenport suggests that, while AI is getting all the hype right now, other forms of computing or machine learning are still going to be more effective for a lot of basic tasks. From a marketing perspective in 2023, it’s helpful for a tech company to throw the “AI” brand around, but it’s not magically going to be the answer for every problem.

        Davenport points to a similar (if smaller) whirlwind of excitement around IBM’s “Watson” in the early 2010s, when it was famously able to take out human “Jeopardy!’ champions. It turns out, Watson was a general knowledge engine, really best suited for jobs like playing “Jeopardy.” But after the software gained celebrity status, people tried to use it for all sorts of advanced applications, like designing cancer drugs or providing investment advice. Today, few people turn to Watson for these kinds of solutions. It’s just the wrong tool for the job. In that same way, Davenport suggests that generative AI is in danger of being misapplied.

        While the industry and end users both race to solve the AI puzzle in real time, governments are also feeling pressure to step in and potentially regulate the AI industry. This is much easier said than done, though, as politicians face the same kinds of questions and uncertainty as everyone else.

        OpenAI CEO Sam Altman has been calling for governments to begin regulating AI, but just this week, he suggested that the company might pull out of the European Union entirely if the regulations were too onerous. Specifically, Altman worries that attempts to narrow what kinds of data can be used to train AI systems – specifically blocking copyrighted material – might well prove impossible. “If we can comply, we will, and if we can’t, we’ll cease operating,” Altman told Time. “We will try, but there are technical limits to what’s possible.” (Altman has already started walking this threat back, suggesting he has no immediate plans to exit the EU.)

        In the US, The White House has been working on a “Blueprint for an AI Bill of Rights,” but it’s non-binding, just a collection of largely vague suggestions. It’s one thing to agree “consumers shouldn’t face discrimination from an algorithm” and “everyone should be protected from abusive data practices and have agency over how their data is used.” But enforcement is an entirely different animal. A lot of these issues already exist in tech, and are much larger than AI, and the US government already doesn’t do much about them.

        Additionally, it’s possible AI regulations won’t work well at all if they aren’t global. Even if you set some policies and get an entire nation’s government to agree, how to set similar worldwide protocols? What if US and Europe agree but India doesn’t? Everyone around the world accesses roughly the same internet, so without any kind of international standard, it’s going to be much harder for individual nations to enforce specific rules. As with so many other AI developments, there’s inherent danger in patchwork regulations; it could allow some companies, or regions, or players to move forward while others are unfairly or ineffectively stymied or held back.

        The same kinds of socio-economic concerns around AI that we have nationally – some sectors of the work force left behind, the wealthiest and most established players coming in to the new market with massive advantages, the rapid spread of misinformation – are all, in actuality, global concerns. Just as the hegemony of Microsoft and Google threaten the ability of new players to enter the AI space, the West’s early dominance of AI tech threatens to push out companies and innovations from emerging markets like Southeast Asia, Subsaharan Africa, and Central America. Left unfettered, AI could potentially deepen social, economic, and digital divisions both within and between all of these societies.

        Undaunted, some governments aren’t waiting around for these tools to develop any further before they start attempting to regulate them. New York City has already set up some rules about how AI can be used during the hiring process while will take effect in July. The law requires any company using AI software in hiring to notify candidates that it’s being used, and to have independent auditors check the system annually for bias.

        This sort of piecemeal figure-it-out-as-we-go approach is probably what’s going to be necessary, at least short-term, as AI development shows zero signs of slowing down or stopping any time soon. Though there’s some disagreement among experts, most analysts agree with Wharton professor and economist Jeremy Siegel, who told CNBC this week that AI is not yet a bubble. He pointed to the Nvidia earnings as a sign the market remains healthy and not overly frothy. So, at least for now, the feverish excitement around AI is not going to burst like a late ‘90s startup stock. The world needs to prepare as if this technology is going to be with us for a while.

        What the Future of Rivian Looks Like According to CEO RJ Scaringe

        David Shultz

        David Shultz reports on clean technology and electric vehicles, among other industries, for dot.LA. His writing has appeared in The Atlantic, Outside, Nautilus and many other publications.

        What the Future of Rivian Looks Like According to CEO RJ Scaringe
        Rivian

        Rivian CEO RJ Scaringe took to Instagram last weekend to answer questions from the public about his company and its future. Topics covered included new colors, sustainability, production ramp, new products and features. Speaking of which, viewers also got a first look at the company’s much-anticipated R2 platform, albeit made of clay and covered by a sheet, but hey, that’s…something. If you don’t want to watch the whole 33 minute video, which is now also on Youtube, we’ve got the highlights for you.

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