What the numbers say: Goldman Sachs analysts assessed that 300 million full-time workers could lose their jobs to AI. In the U.S., the model used in Goldman's February report showed that 25% of jobs across industries could be at risk, with office and administrative positions (46%) and legal jobs (44%) exposed most. Relevance: Recent releases of OpenAI's ChatGPT and Google's Bard renewed speculation that AI could soon replace traditional jobs and tasks. Goldman's report cautioned that "worker displacement from automation has historically been offset by the creation of new jobs," but the scope of displacement in its predictions remains sizeable. Brands that should care: The big four accounting firms — Deloitte, EY, KPMG, and PwC — may be among those forced to adapt quickly in the coming years. Architects and engineers also see heightened risk, according to Goldman's findings. We're testing new content formats in Inside.com newsletters. Do you want to see more coverage like this? Respond to this email and let us know.
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ModelScope is a new open-source AI model that generates short videos from text prompts. Anyone can now try out the text-to-video system online. More: - ModelScope comes from DAMO Vision Intelligence Lab, a research unit of Chinese e-commerce giant Alibaba.
- Now available on Hugging Face, the system creates two-second videos from text prompts, though its creations are far from perfect and often unsettling.
- The "text2video" diffusion model was trained on LAION5B, ImageNet, and Webvid.
- The data included many images and videos taken from Shutterstock, causing the stock photo site's logo to appear in some of its generations.
Zoom out: - In September, Meta announced Make-a-Video, which generates brief video clips from words as well as images or similar videos. It's not available to the public yet.
- Several months later, Runway AI introduced what is described as the "first publicly available text-to-video model on the market." The Stable Diffusion firm's Gen-2 model creates original videos that are three seconds long.
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Facebook parent Meta introduced an AI model that can identify specific objects in videos and images, including objects it didn't learn during the training phase. Meta says its Segment Anything Model (SAM) aims to help democratize "segmentation," a task within computer vision that involves identifying which pixels belong to which objects in an image. Meta has launched a demo website for anyone to try out SAM. More: - To use SAM, users write text prompts or select objects within an image or video. Typing the word cat, for example, causes SAM to draw a box around each cat in photos.
- Meta is releasing SAM along with its Segment Anything 1-Billion (SA-1B) mask dataset, which it says is the largest segmentation dataset to date.
- The goals are to support new applications and research into computer vision foundation models, according to the firm.
- Meta says it's opening up SAM and SA-1B to the research community. The model is available under a permissive open license (Apache 2.0).
REUTERS
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Google says its fourth-generation tensor processing unit (TPU) for training AI models is faster and more power-efficient than Nvidia's A100 chip. In a new paper, Google researchers detailed the company's latest and most advanced TPU-based supercomputer, which has been operating since 2020. More: - The AI system was used to train Google's Pathways Language Model (PaLM), a competitor to OpenAI's GPT series.
- Google researchers made the claim that the "performance, scalability, and availability " of TPU v4 supercomputers make them "the workhorses of large language models."
- According to researchers, the TPU v4 supercomputer comprises 4,096 TPUs and other custom components. It's ~10x faster overall than the previous version.
- In the paper, they wrote that for similarly sized computing systems, TPU v4 "is 1.2x–1.7x faster and uses 1.3x–1.9x less power than the Nvidia A100," Nvidia's data center GPU for machine learning tasks.
- Google did not compare TPU v4 to Nvidia's H100, the successor to the A100, saying it was released later and created using more advanced technology.
CNBC
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Snapchat is making changes to its OpenAI-powered AI chatbot after reports cited its potential for misuse, particularly for younger users. Snap says its My AI bot will now take a user's birthdate into account during interactions, preventing the chatbot from resoonding inappropriately to younger users. More: - The bot can now adjust its responses based on a user's age.
- Snapchat's parent company is also adding OpenAI moderation technologies to help gauge if content in chats is harmful.
- Users found to be misusing the service will see their access to Snapchat temporarily restricted.
- In addition, Snap is adding My AI conversation history data to Family Center tracking, allowing parents to view when and how often their children are conversing with the bot.
Zoom out: - The experimental "My AI" feature, which is only open to Snapchat+ subscribers, is described as a more restricted and mobile version of ChatGPT.
- Shortly after launching the bot in late February, The Washington Post found that it made inappropriate comments, including giving advice about alcohol and marijuana to a journalist posing as a 15-year-old.
TECHCRUNCH
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🍋 FRESH FUNDING 🍋 - Fixie (Washington), an automation platform that aims to create chatbots for productivity: $17M Seed led by Redpoint Ventures, with participation from Madrona Venture Group, Zetta Venture Partners, SignalFire, Bloomberg Beta, and Kearny Jackson.
- deepc (Germany), enables healthcare organizations to adopt third-party Artificial Intelligences software: $12M A led by Sofinnova Partners, with participation from Bertelsmann Investments and Winning Mindset Ventures.
- Stratyfy (New York), provides machine learning solutions for financial institutions: $10M Growth led by Truist Ventures and Zeal Capital Partners, with participation from Mendon Venture Partners, The 98, FIS, and Barry J. Glick.
- Redefine.dev (Israel), provides an AI-powered platform that accelerates software development cycles: $8.5M Seed led by Gillot Capital.
- Ludex (Illinois), uses AI to price trading cards: $8M Seed led by undisclosed investors.
- Dashbot (Florida), data intelligence company that offers a platform to analyze conversational data and improve NLP precision and productivity: $6M Series A round led by the Florida Funders’ Fund 2 and Bessemer Venture Partners.
For the latest on AI startup funding and more in the VC community, subscribe to our Inside Venture Capital newsletter.
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QUICK HITS - Quickly familiarize yourself with building on Google Cloud with real-world examples and code snippets in this Google Cloud Cookbook.*
- An app for the Masters golf tournament now features a play-by-play AI "announcer" created using IBM Watson technology. The tourney runs from Thursday, April 6, through Sunday, April 9.
- As expected, California is the No. 1 state for AI hiring, according to Stanford HAI's latest AI Index Report. California had 142,000 AI positions posted last year, ahead of the 66,624 jobs in runner-up Texas.
- Former Intel chief architect Raja Koduri is forming a startup focused on generative AI. According to Reuters, his yet-to-be-named company is seeking to acquire or partner with data center operator Yotta.
- Chinese tech giants Alibaba and Huawei are gearing up to launch generative AI chatbots, according to reports. Alibaba could introduce its large-scale AI model during its cloud summit on April 11.
- India's Ministry of Electronics and IT has declined to pursue legislation to regulate the growth of AI. Instead, it's focused on measures and policies that would encourage a "robust AI sector," TechCrunch reports.
- Sharpen your math, data, and CS skills with Brilliant. Quick, hands-on lessons make learning fun and easy. Over 10M+ people agree, so try it today.*
*This is a sponsored post.
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 |  | Beth is a writer and editor at Inside.com covering artificial intelligence and daily technology news. She has written the Inside AI newsletter since 2019. You can reach her at Beth.Duckett@inside.com. |   | | Editor | Aaron Crutchfield is based in the high desert of California. Over the last two decades, he has spent time writing and editing at various local newspapers and defense contractors in California. When he's not working, he can often be found looking at the latest memes with his kids or working on his 1962 and 1972 Fords. | |
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