This Emergency Alert Nonprofit Saw Over 75,000 Incident Reports During the SoCal Storm

Samson Amore

Samson Amore is a reporter for dot.LA. He holds a degree in journalism from Emerson College. Send tips or pitches to samsonamore@dot.la and find him on Twitter @Samsonamore.

This Emergency Alert Nonprofit Saw Over 75,000 Incident Reports During the SoCal Storm
Evan Xie

The ruthless storm that’s pitched Southern California into a torrential downpour this week is also putting Los Angeles’ emergency alert systems to the test.

While the National Weather Service for Los Angeles’ flash flood warning isn’t currently in effect, at least two more storm systems are expected to touch down later this week.

And the more it rains, the more evident it becomes that Los Angeles lacks a cohesive central alert system for the City of LA that can warn residents in real time if they need to evacuate or relocate.

Enter the Los Angeles Incident Tracker, a nonprofit that launched this June with the goal of sending residents real-time alerts about weather-related incidents at their address. Doing business as LAIT911, the desktop and mobile app is a free service that collects data from several raw 911 feeds, including LA Fire, the LA County Fire Department and California Highway Patrol to provide a digital fire blotter.

This past week, the demand for information during the storm skyrocketed, with over 75,000 incident reports viewed by nearly 10,000 people since the storm began less than a week ago, according to LAIT911 operations director and founder Jonathan Martin. Martin said 50% of its user registration in the past week came from Jan. 9 alone, when the LA Department of Public Works’ headquarters Downtown recorded nearly six inches of rainfall.

The incidents are automatically added to LAIT911’s app dashboard. Once data is received the individual incidents are verified (usually by at least 2-3 freelance volunteers who are online at any given time monitoring local alerts). LAIT911 copies live dispatch information, and all following real-time alerts, into its app, and adds relevant safety information from both its own databases and third parties. The app also rates how severe each incident is to determine whether or not to send out alerts.

And though there’s no shortage of apps designed to track earthquakes, or wildfires, there’s only a handful of disparate systems that residents can use for emergency weather alerts.

“The [current citywide] alerting system right now is antiquated [so] there's not much public insight into what's going on in the city,” said Martin. “Sometimes there's no rhyme or reason why one incident will get an alert and one won't, and unless you're actively monitoring it, you really won't notice if it's relevant for you.” Which is why Martin wants to focus a bit more on the geo-targeted alerts rather than the kind sent out by the city that affects everyone.

That said, Martin is working on a partnership with the County Assessor’s Office to integrate some of their data to show users not just where a building incident occurred, but what kind of structure it is. In addition, Martin is trying to partner with the City’s Emergency Management Department, which puts out alerts for only major disasters.

One of those people was dot.LA senior editor Drew Grant, who said she found the “moment by moment updates” helpful after discovering the app this week, and noted that the LAIT911 interface was easier to make sense of than intel from a typical police scanner.

Right now the web app, which is into Google Maps’ API, is free to use on computers. Martin said he’s working on developing its own map feature that it can improve on as needed.

It’s easy to set up too. You just plug in your mobile phone number and address and LAIT911 will send alerts in your area straight to your device.

For people who want extra capabilities there is a subscription option in addition to the free web app. Pricing for the subscription ranges from $10-$17 per month, and it gives users access to LAIT911’s mobile app, advanced incident searching and instant notifications via Slack.

The free version of LAIT911 is, however, more than comprehensive. 90% of the information comes from raw 911 dispatch feeds, while about 10% is provided by a team of 10 volunteer incident reporting analysts, who review the calls and verify their legitimacy.

In case of power outages, there is also a backup. Martin said LAIT911 uses a data center run by Amazon Web Services in Northern California, which has so far been “incredibly resilient.” But, if that center were to go dark, it would take “maybe 30 minutes max” to transfer to another data center and get back online, he said.

“The real reason I made LAIT911 was just for my own nerdiness to analyze the data and how fires work and try to predict wildfires,” Martin added. Besides extreme weather, one of LAIT911’s focuses is on safety incidents surrounding the LA Metro.

So who are LAIT911’s competitors? Martin considers emergency alert app Citizen his primary rival. But he said, “I can confidently say that we don’t have any competitors that have the same amount of data.”

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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 Undergoing Some Growing Pains at a Pivotal Moment in Its Development

Lon Harris
Lon Harris is a contributor to dot.LA. His work has also appeared on ScreenJunkies, RottenTomatoes and Inside Streaming.
AI Is Undergoing Some Growing Pains at a Pivotal Moment in Its Development
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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