Following OpenAI’s launch of ChatGPT’s memory feature in April, Google has revealed that its own chatbot, Gemini, can now “remember the things you care about” such as your life, work, aspirations, and personal preferences, and, as a result, delivers more tailored and relevant responses. For example, if you tell Gemini you’re a Vegan, and then ask it for restaurant recommendations, it will only display places that are suitable for Vegans. Only users on Google’s Google One AI Premium subscription plan have access to this memory feature, and it's currently only available in English. They can add their interests and preferences through the chatbot interface, or via the “saved info” page, where Google has provided some examples of what they might like Gemini to remember, like “Use simple language and avoid jargon” or “When planning a trip, always include the cost per day,” for example.
Tuesday, December 03, 2024
How Are Companies Really Using AI? A New Report Has Answers - Stefano Puntoni, Knowledge at Wharton
“Growing Up: Navigating Gen AI’s Early Years” is a survey of more than 800 senior business leaders in large organizations that reveals a seismic shift in their attitudes and applications of AI in just a short time. In 2023, the first year of the survey, only 37% reported using AI weekly. That number has risen to 72% in 2024. Negative perceptions, namely worry and skepticism, are softening as decision-makers explore how this evolving technology can help their firms become better. According to the survey, generative AI is being widely deployed across functions, even in departments such as marketing and human resources that were initially slower to adopt it. The highest use is in document and proposal writing and editing with 64%, followed closely by data analyses and analytics at 62%. Other high-use functions include customer service and support (58%), fraud detection and prevention (55%), and financial forecasting and planning (53%).
Monday, December 02, 2024
Is Algorithmic Management Too Controlling? - Lindsey Cameron, Knowledge at Wharton
In more and more workplaces, important decisions aren’t made by managers but by algorithms which have increasing levels of access to and control over workers. While algorithmic management can boost efficiency and flexibility (as well as enabling a new class of quasi-self-employed workers on platforms like Uber and Instacart), critics warn of heightened surveillance and reduced autonomy for workers. In a newly published paper, Wharton Prof. Lindsey Cameron examines how ride-hail drivers interact with the algorithmic management tools that make app-based work possible. In this interview, she shares insights from her research, along with tips for creating a more equitable future of work.
https://knowledge.wharton.upenn.edu/article/is-algorithmic-management-too-controlling/
Deep learning pipeline for accelerating virtual screening in drug discovery - Fatima Noor, et al; Nature Scientific Reports
In benchmarking, VirtuDockDL achieved 99% accuracy, an F1 score of 0.992, and an AUC of 0.99 on the HER2 dataset, surpassing DeepChem (89% accuracy) and AutoDock Vina (82% accuracy). These results underscore the tool’s capability to identify high-affinity inhibitors accurately across various targets, including the HER2 protein for cancer therapy, TEM-1 beta-lactamase for bacterial infections, and the CYP51 enzyme for fungal infections like Candidiasis. To sum up, VirtuDockDL combines user-friendly interface design with powerful computational capabilities to facilitate rapid, cost-effective drug discovery and development. The integration of AI in drug discovery could potentially transform the landscape of pharmaceutical research, providing faster responses to global health challenges. The VirtuDockDL is available at https://github.com/FatimaNoor74/VirtuDockDL .
Sunday, December 01, 2024
Google’s New AI Is Shockingly Good and Scary - AI Revolution
Google's new AI model, Gemini x114, is making waves in the AI field. It has achieved the top spot on the Chatbot Arena leaderboard, outperforming even OpenAI's GPT-4. This model excels in various tasks, including math, creative writing, and visual understanding. However, access to Gemini x114 is currently limited to developers and researchers through Google AI Studio. The model's success highlights the ongoing debate about how to measure AI progress, as its performance drops significantly when factors like response formatting are controlled. Beyond its technical capabilities, Gemini x114 has also sparked controversy due to instances of generating troubling and insensitive responses. (summary provided by Gen AI)
If AGI arrives during Trump’s next term, ‘none of the other stuff matters’ - Harry McCracken, Fast Company
I think it depends on the extent to which Donald Trump will listen to Elon Musk. On one hand, you have a lot of folks who are very anti-regulation trying to persuade Trump to repeal even Biden’s executive order, even though that was very weak sauce. And then on the other hand, you have Elon, who’s been pro AI regulation for over a decade and came out again for the California regulation, SB 10 47. This is all going to really come down to chemistry and then relative influence. In my opinion, this issue is the most important issue of all for the Trump administration, because I think AGI is likely to actually be built during the Trump administration. So during this administration, this is all going to get decided: whether we drive off that cliff or whether AI turns out to be the best thing that ever happened.
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