AI will date other people's AIs and hook you up with the best matches

Pivot 5: 5 stories. 5 minutes a day. 5 days a week.

1. Bumble Founder says future of dating is your AI will date other people's AIs and hook you up with the best matches

Bumble founder Whitney Wolfe Herd believes that the future of dating will involve AI dating concierges talking to hundreds of other AIs to find the best matches. This idea, reminiscent of a 2017 episode of Netflix's "Black Mirror," has sparked debate on social media.

Wolfe Herd believes that AI chatbots could potentially match users with the best matches in San Francisco, a concept that has already been explored in the tech industry. However, not all women will enjoy being chatted up by AI, and the potential for AI to become a dominant force in dating apps remains uncertain.

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2. Anthropic now lets kids use its AI tech — within limits

Anthropic is allowing minors to use its generative AI systems in certain circumstances. The company will allow teens and preteens to use third-party apps powered by its AI models, provided they implement specific safety features and disclose the Anthropic technologies they are leveraging.

Developers must also comply with child safety and data privacy regulations, such as the Children's Online Privacy Protection Act (COPPA). Anthropic's policy comes as kids and teens increasingly turn to AI tools for personal issues and as rival vendors like Google and OpenAI explore more use cases aimed at children.

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3. Cisco reimagines cybersecurity at RSAC 2024 with AI and kernel-level visibility

Cisco is reimagining cybersecurity at RSAC 2024, focusing on AI and kernel-level visibility to improve resilience against cyberattacks. CISOs at the event highlighted the need for greater efficacy infrastructure-wide and more visibility to the container and kernel level.

Cisco's top concerns include improving cloud infrastructure resilience, securing software supply chains, improving software bill of materials compliance, and securing connections with partners and suppliers against new tradecraft. The company sees challenges in keeping infrastructure current, patch management, and containing breach attempts as difficult challenges for organizations.

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4. Exploration-focused training lets robotics AI immediately handle new tasks

Researchers at Northwestern University have developed Maximum Diffusion Reinforcement Learning (MaxDiff RL), an algorithm tailored specifically for robots. This approach aims to improve the performance of reinforcement-learning algorithms in robots by focusing on end states rather than process.

The problem with deploying reinforcement-learning algorithms in robots is the assumption that the data they learn from is independent and identically distributed. However, robots cannot obtain independent, identically distributed data, as they exist at a specific point in space and time. The team designed an algorithm that encourages robots to be as randomly adventurous as possible to learn from a wide set of experiences.

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5. OpenAI could debut a multimodal AI digital assistant soon

OpenAI is set to unveil a multimodal AI digital assistant, potentially aiding customer service agents in detecting sarcasm. The new model, which can both talk and recognize objects, is expected to offer faster, more accurate interpretation of images and audio than existing transcription and text-to-speech models.

It could also help students with math or translate real-world signs. The announcement is expected via livestream on OpenAI's website on Monday.

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