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Welcome to the Inside AI newsletter! Here are our top stories: - Cal Fire turning to AI to spot wildfires early.
- Our picks for AI tools for marketers.
- Some AI stocks have declined from their peak.
Scroll down to view this week’s AI Talk, where you can learn about building a company that harnesses AI’s ability to simplify complex processes into easy-to-understand steps. If you find this newsletter useful, please share it with your friends and colleagues. Thank you. Beth
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| 1 | | Cal Fire, in partnership with the University of California San Diego, has rolled out the Alert California AI program, which uses cameras and AI to spot wildfires. Since its July launch, the program has already detected at least one wildfire in its early stages. Located in Cleveland National Forest near San Diego, the fire was controlled within 45 minutes during the early morning. More: - The program works by using AI to spot "abnormalities" in the feeds of over 1,000 360-degree rotating cameras.
- It automatically alerts emergency services to check if there's a fire and if action is needed.
- UCSD engineers created the system with AI from DigitalPath. Cal Fire has invested $20M into the program over four years, with plans to allocate over $3.5M more soon.
- The public can view a grid of remote live camera views from the program on its website.
- The technology could serve as a model for other regions facing worsening wildfires due to climate change.
Related: - Microsoft's AI for Good Research Lab is also using advanced AI solutions to assess damage from the Lahaina wildfire in Maui.
- Partnering with the American Red Cross and Planet, the researchers turned to AI and satellite imagery to create detailed maps outlining the conditions of affected buildings, breaking down the damages for responders.
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| 2 | | Spotlight on: AI tools for marketing Since its debut last year, ChatGPT has had a big impact on marketing, with teams using it to create content, perosnalize emails and websites, and build marketing strategies and campaigns. While content tasks might be the main focus of AI in marketing right now, there are plenty of other ways AI can be used in the realm beyond ChatGPT. Here are a few examples. Writing: - HubSpot: OpenAI-powered content assistant and ChatSpot tools.
- Jasper: AI writer and on-brand marketing co-pilot.
- AdCopy.ai: Platform to create or rewrite ad copy.
- Anyword: Data-driven AI copywriter for content marketers.
- INK: AI co-writer and SEO assistant.
SEO/Brand Management/Visuals: - Fotor: Online photo editor with AI tools and templates for graphic design and marketing.
- Brand24: AI "social listening" and brand reputation management AI tool.
- Surfer SEO: Generates SEO optimized articles and automates SEO workflows
- Ocoya: AI-powered social media post creator and scheduler.
- Pictory: AI-enabled short video generator for marketers.
- Vidora: Intelligent AI-based churn prediction.
Have you tried any of these AI tools, and if so, what was your experience like? Let us know here. | | | |
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| 3 | | The AI-driven stock surge is encountering hurdles, with at least 10 "hot" AI stocks now showing declines from their peak earlier this year, an Insider analysis found. 
What the numbers say: Insider analyzed 10 prominent AI stocks of the year, reviewing their performance post-peak. As of Aug. 9 market close, declines ranged from 2.3% to 29.1%, with half the stocks sliding more than 10%. What it means: According to Insider, the declines could stem from short-term fluctuations, a reaction to increasing interest rates, or investor doubt regarding AI's short-term profitability. In a June research note, Morgan Stanley analysts cited Amara's Law, when people overvalue a technology's short-term impact and undervalue its long-term effects. To avert an "Amara Law hype cycle," the researchers highlighted the need for generative AI to demonstrate showcase resilience over the medium term. The bigger picture: According to Yahoo Finance, there may be signs that the AI stock bubble is nearing an end. Based on second-quarter earnings and projections, AI-involved companies like Microsoft and AMD have not lived up to some of the hype about AI's short-term returns. Yahoo cited an analysis by Morgan Stanley equity strategist Edward Stanley, who found that 70 historical bubbles averaged a 154% return within three years. Based on Nvidia's 200% surge this year and the performance of large-cap tech, Stanley suggests that the ongoing AI stock rally is probably in its "late innings." | | | |
| 4 | | Zoom has updated its terms of service to clarify that it won't use any customer data to train its own AI models or those of third parties. Previously, the company said it wouldn't do so without the consent of the customer, which worried some users who thought the language was too broad or unclear. More: - According to Gizmodo, Zoom has revised Section 10 of its terms of service so it no longer has a legal right to leverage "customer content" to train AI models.
- The updated terms say Zoom won't use any user "audio, video, chat, screen sharing, attachments or other communications-like Customer Content (such as poll results, whiteboard, and reactions)" for AI training.
- In June, Zoom launched generative AI-powered meeting summaries and Chat compose on a trial basis for select users.
- The features are included as part of Zoom IQ, the meeting platform's AI smart companion.
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| 5 | | Weekly roundup — Other top AI stories you might have missed this week: - President Biden signed an executive order restricting U.S. firms from investing in Chinese companies developing AI technologies and other advanced tech. The order, which goes into effect in 2024, targets U.S. venture capital and private equity investment.
- Nvidia unveiled its latest AI superchip, the GH200, specifically tailored for AI tasks. With the chip, the inference cost of large language models is expected to "drop significantly," said Nvidia CEO Jensen Huang.
- U.K. researchers created an AI system that can identify keystrokes by the sound of a person's typing at up to 95% accuracy. They discuss ways to safeguard users against these types of attacks, including altering typing styles, to prevent exposure of sensitive data.
- ChatGPT's web traffic is slowing down, according to recent Similarweb estimates. July marked the second straight month of a drop in ChatGPT's monthly visits, which fell by 9.6% to nearly 1.5 billion.
- The U.S. government teamed with major AI companies to launch the "AI Cyber Challenge," a competition to identify and fix software vulnerabilities in critical U.S. infrastructure using AI. DARPA is overseeing the two-year challenge, with $18.5M in prizes going to the top contestants.
- The Federal Election Commission (FEC) has moved closer to potentially regulating AI-generated content in political ads. After voting to open a petition for public comment, the process could lead to new rules on AI use in campaigns by year-end.
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INSIDE AI LEADERBOARD (7 DAYS) |
 | AI and technology writer | | Beth is the curator and writer of the AI and Tech newsletters at Inside. With a career in journalism and editing that began in 2007, she has written for publications including USA Today, The Arizona Republic, Arizona Business Gazette, and more. You can reach her at Beth.Duckett@yahoo.com. | | This newsletter was edited by Aaron Crutchfield | |
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