 Amazon Unveils AI Chatbot “Q” for AWS Customers at $20/month. |
| Amazon has introduced an AI-powered chatbot for AWS customers known as “Q,” unveiled at the re:Invent conference. Priced at $20 per user per month (the same price as ChatGPT Plus) in public preview, Q is trained on 17 years of AWS knowledge. It can answer questions, provide potential solutions, and even generate content like blog posts and emails. Q integrates with various apps like Salesforce, Jira, and Gmail, indexing data to understand organizational structures. It can also troubleshoot network issues and generate code tests. Q offers a comprehensive approach to business intelligence and development, aiming to assist developers with AI-driven solutions. |
Anyway, click below to have a look at what Amazon’s Q can do  |
| Introducing Amazon Q, the generative AI-powered Assistant Tailored for Work | Amazon Web Services |
 The Rumored Q Model and Recent OpenAI Turmoil |
| Intriguingly, the announcement of Amazon’s “Q” coincides with rumors of a potentially groundbreaking AI model, Q* (pronounced Q-Star), linked to recent upheavals at OpenAI. Reports suggest that Q*’s capabilities, especially in solving previously unseen math problems, sparked safety concerns among OpenAI’s staff. This rumored model, exhibiting traits of AGI (Artificial General Intelligence), was allegedly a factor in the brief firing and subsequent reinstatement of Sam Altman as OpenAI’s CEO. The reported rapid development pace of Q* raises questions about ethical AI development and highlights the need for robust safety protocols. OpenAI, having not officially commented on Q*, leaves the AI community speculating about this mysterious and potentially transformative AI model. This could simply be a coincidence, but it’s interesting to think about… |
 Cradle’s AI Approach Transforms Protein Design for Faster Development. |
Cradle, a biotech and AI startup is reshaping protein design by treating amino acid sequences as a unique language. Major clients like Johnson & Johnson and Novozymes have taken notice. Their technology has the potential to accelerate protein development, as demonstrated by a T7 RNA polymerase example that achieved a 70% success rate compared to the usual 5%. Cradle is involved in various protein projects, from soil decontamination to cultured meat production. The platform, accessible to scientists and labs without ML expertise, recently secured $24 million in funding, enabling further growth. |
