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Monday’s top story: OpenAI’s AI translation tool—Whisper—is producing inaccurate transcripts, full of hallucinations, particularly affecting hospitals.
🏥 Hospitals plagued with OpenAI’s hallucinations?
🌴 How to stay safe online when you travel
🤫 Meet Google’s AI agent: Jarvis
😵💫 How to transform document chaos into business clarity with AI
🌳 How to incorporate sustainable practices into an event using ChatGPT
📰 Meta and Reuters partner up!
Read Time: 5 minutes
FACT OF THE DAY
🤔 According to Forbes, AI technology is expected to create 12M more jobs than it’s expected to replace, and 97M AI specialists will be needed by 2025.
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Our Report: Back in September, OpenAI released Whisper—an open-source AI transcription tool that enables transcription in multiple languages—but engineers, researchers, and clinical professionals, using the tool, are growing increasingly concerned over the accuracy of the transcripts it's generating.
🔑 Key Points:
Over 30,000 clinicians and 40 health systems use Whisper to record and transcribe patient meetings, and although it’s been trained on over 680,000 hours of audio data from the web, many have found it often hallucinates.
One researcher found hallucinations in 8/10 transcriptions, another found, in over 100hrs of transcripts, half contained misinformation, and a developer found hallucinations in nearly all of the 26,000 transcriptions he created.
The tool makes up sentences with violent or racist sentiments, has invented diseases, generates nonsensical phrases during silences, and includes common phrases from YouTube, like “Thanks for watching!”
🤔 Why you should care: Although chatbot hallucinations are common (remember Google’s Gemini glue pizza debacle, for example), it’s a little more unusual for a transcription tool to hallucinate as surely it’s just following the audio recording, but in response, OpenAI has thanked researchers for sharing their findings, has stated that they will continue to work on improving “the accuracy” of the model, “including reducing hallucinations,” and has re-emphasized that it shouldn’t be used in “certain high-stakes decision-making contexts.”
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Our Report: Following the release of Anthropic’s upgraded Claude last week—which can take control of a user's computer and perform tasks autonomously, on their behalf—Google is also reportedly working on an AI agent (codenamed Jarvis) that can “take over your web browser,” that could be released as early as December.
🔑 Key Points:
Jarvis—apparently named after Marvel’s Iron Man’s super-intelligent AI assistant, J.A.R.V.I.S—can complete everyday web-based tasks like conducting research, making purchases, and booking flights.
Rumored to be powered by Google’s next generation LLM—Gemini 2.0—Jarvis responds to a command by capturing computer screenshots and translating them into tasks like clicking a button or typing text.
According to insiders, it does operate slowly and needs a few seconds to process and translate the screenshots before completing a task, which is similar to Anthropic’s “cumbersome” Claude.
🤔 Why you should care: Google doesn’t have a great track record when it comes to releasing AI-based products and features, and it’s reportedly considering releasing Jarvis to a small number of paying subscribers first, to help it catch any bugs before it releases it to the wider public, which could push the December deadline out significantly.
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Results: After typing this prompt, you will get strategies to help you incorporate environmentally sustainable practices in your next event.
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Meta has struck a “multi-year deal” with news outlet, Reuters, which will enable its AI chatbot (Meta AI) to use Reuters content to answer news-related queries, which is the first deal of this type, Meta has signed.
Although the terms of the deal remain confidential, Reuters will be compensated for allowing Meta to display its content on platforms which include Facebook, Instagram, WhatsApp, and Messenger.
This partnership will bring a more meaningful and useful experience to users, and marks a step away from Meta’s usual creative-focused, flashy AI features, like the failed celeb AI chatbots, for example.
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Until next time, Martin & Liam.
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