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AI boom bringing talent back to San Francisco

Also: Instagram apparently testing AI chatbot feature

Greetings!

We're witnessing a fascinating migration pattern as the AI boom lures tech entrepreneurs back to the pulsating heart of San Francisco, which is abuzz with renewed vitality in the tech scene. Meanwhile, Instagram is reportedly testing an AI chatbot with a twist - offering users a selection of 30 AI personalities. On a more sober note, the reputable scientific journal Nature has made a bold decision, stating it will not publish content employing generative AI in images and videos due to concerns for integrity, transparency, and consent. Lastly, a pilot study has highlighted the intriguing influence of AI suggestions on radiologists' decisions, emphasizing the importance of the human-AI interaction in healthcare.

Let’s slice:

  • 🌉 They Fled San Francisco. The A.I. Boom Pulled Them Back.

  • 🤖 Instagram is apparently testing an AI chatbot that lets you choose from 30 personalities

  • 🌱 Why Nature will not allow the use of generative AI in images and video

  • 🩻 The impact of AI suggestions on radiologists’ decisions

Despite the many tech entrepreneurs who fled San Francisco during the pandemic due to its issues with drugs, housing, and crime, the recent AI boom is causing many to return. Doug Fulop and Jessie Fischer, who had left for Bend, Oregon, are among those returning to the Bay Area, drawn by the opportunities in AI, particularly in generative AI, which has seen a thirteenfold increase in funding within the first three months of the year. San Francisco's tech scene, previously quiet during the pandemic, is now abuzz with hackathons, networking events, and start-up creation, particularly in the Hayes Valley neighborhood, dubbed "Cerebral Valley" due to its focus on AI. Despite the peace and tranquillity of other places, many entrepreneurs are finding the inspiration, hustle, and connections in San Francisco unmatched, with the AI boom rejuvenating the city's tech industry.

Instagram, under its parent company Meta, is reportedly testing an AI chatbot feature, according to a leaked screenshot shared by Alessandro Paluzzi on Twitter. This chatbot will be capable of answering questions, offering advice, and helping users craft messages. It also promises a selection of 30 AI personalities for users to choose from. This development aligns with Meta's stated AI ambitions, as expressed by CEO Mark Zuckerberg in February, to develop AI personas that can assist people in various ways through text conversations, similar to interactions in WhatsApp and Messenger. While other companies have successfully launched chatbots, such as Snapchat's "My AI" bot powered by OpenAI's ChatGPT and Microsoft's Bing chatbot, they have also faced challenges in ensuring that these bots provide engaging yet safe interactions. For example, Snapchat's bot came under scrutiny for offering inappropriate advice to users. At present, Meta has not confirmed its plans for the launch of the AI chatbots on Instagram or the safety measures it will implement.

The scientific journal Nature has declared that it will not publish content that employs generative AI in the creation of images and videos, with the exception of articles specifically about AI. This decision is based on a concern for the integrity and transparency of publishing. Current generative AI tools do not provide access to their sources for verification and do not conform to the principles of attribution and consent. They are often trained on copyright-protected works without permissions, and can create "deepfakes" that violate privacy and spread misinformation. While Nature permits the use of text produced with the help of generative AI, it requires proper documentation and source disclosure. Amid the rapidly changing AI landscape and the slow response of regulatory systems, Nature has adopted a firm 'no' stance to the use of generative AI in visual content for the foreseeable future

The study titled "The impact of AI suggestions on radiologists’ decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination" examines the influence of AI suggestions on the decision-making of radiologists. It particularly looks at how the availability of explanatory inputs and attitudes towards AI can impact the accuracy of diagnoses. The research, which studied 2760 decisions made by 92 radiologists across 15 mammography examinations, found that the diagnoses of radiologists followed both correct and incorrect AI suggestions, irrespective of the extent of explanatory inputs or attitudes towards AI. The study thus highlights the limited effect of explanatory inputs and attitude priming in mitigating the influence of potentially incorrect AI suggestions on the decision-making process of radiologists.

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