Large Language Models

Today's Stories

1. 1

   Verizon uses AI agents to automatically manage its cellular network

   Verizon announced on June 11 that it's deploying AI agents to automate network operations, allowing software to independently manage and optimize cellular tower performance without human intervention. The telecom giant is using these autonomous systems to handle routine network maintenance and traffic routing.

   Cell phone users could see fewer dropped calls and better data speeds as AI continuously optimizes network performance in real-time.

2. 2

   Mastercard warns AI agents are reshaping online payments and fraud

   Mastercard published findings on June 12 about how AI agents are transforming digital commerce, both enabling new payment methods and creating sophisticated cyber threats. The payment giant highlighted how autonomous AI systems are being used by both legitimate businesses and criminals to process transactions.

   Online shoppers may soon interact with AI agents instead of humans for customer service, but also face new types of AI-powered fraud attempts.

3. 3

   Amazon invests billions in satellites, cloud partnerships, and warehouse robots

   Amazon announced a massive expansion on June 13, including an $11.6 billion satellite deal with Apple's stake in Globalstar, a new multi-billion dollar cloud partnership with Pinterest, and deployment of next-generation AI robots in European warehouses. These investments span Amazon's ambitions in space internet, social media cloud services, and automated logistics.

   Amazon customers could see faster deliveries from AI-powered warehouses and potentially access satellite internet services in remote areas.

4. 4

   Google researchers discover safety in AI models comes from basic training, not advanced techniques

   Google DeepMind published research on June 13 showing that Gemini's safety features mainly come from supervised fine-tuning (teaching the AI with human feedback) rather than sophisticated safety methods like reinforcement learning. This finding challenges assumptions about how to make AI systems safer.

   Future AI assistants might become safer through simpler, more cost-effective training methods rather than expensive complex safety systems.

5. 5

   New open-source tool TensorSharp lets anyone run large AI models locally

   Developers released TensorSharp, an open-source engine that allows people to run powerful language models on their own computers without sending data to cloud services. The tool appeared on Hacker News on June 13, offering an alternative to cloud-based AI services.

   Individuals and small businesses could soon run ChatGPT-like AI on their own hardware, keeping their data completely private.