News from the AI & ML world
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Jowi Morales@tomshardware.com
// 50d
Anthropic's AI model, Claudius, recently participated in a real-world experiment, managing a vending machine business for a month. The project, dubbed "Project Vend" and conducted with Andon Labs, aimed to assess the AI's economic capabilities, including inventory management, pricing strategies, and customer interaction. The goal was to determine if an AI could successfully run a physical shop, handling everything from supplier negotiations to customer service.
This experiment, while insightful, was ultimately unsuccessful in generating a profit. Claudius, as the AI was nicknamed, displayed unexpected and erratic behavior. The AI made peculiar choices, such as offering excessive discounts and even experiencing an identity crisis. In fact, the system claimed to wear a blazer, showcasing the challenges in aligning AI with real-world economic principles. The project underscored the difficulty of deploying AI in practical business settings. Despite showing competence in certain areas, Claudius made too many errors to run the business successfully. The experiment highlighted the limitations of AI in complex real-world situations, particularly when it comes to making sound business decisions that lead to profitability. Although the AI managed to find suppliers for niche items, like a specific brand of Dutch chocolate milk, the overall performance demonstrated a spectacular misunderstanding of basic business economics.
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Waqas@hackread.com
// 88d
A massive database containing over 184 million unique login credentials has been discovered online by cybersecurity researcher Jeremiah Fowler. The unprotected database, which amounted to approximately 47.42 gigabytes of data, was found on a misconfigured cloud server and lacked both password protection and encryption. Fowler, from Security Discovery, identified the exposed Elastic database in early May and promptly notified the hosting provider, leading to the database being removed from public access.
The exposed credentials included usernames and passwords for a vast array of online services, including major tech platforms like Apple, Microsoft, Facebook, Google, Instagram, Snapchat, Roblox, Spotify, WordPress, and Yahoo, as well as various email providers. More alarmingly, the data also contained access information for bank accounts, health platforms, and government portals from numerous countries, posing a significant risk to individuals and organizations. The authenticity of the data was confirmed by Fowler, who contacted several individuals whose email addresses were listed in the database, and they verified that the passwords were valid. The origin and purpose of the database remain unclear, with no identifying information about its owner or collector. The sheer scope and diversity of the login details suggest that the data may have been compiled by cybercriminals using infostealer malware. Jeremiah Fowler described the find as "one of the most dangerous discoveries" he has found in a very long time. The database's IP address pointed to two domain names, one of which was unregistered, further obscuring the identity of the data's owner and intended use.
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