Long AI conversations reveal misinformation vulnerabilities across seven leading chatbots

The results are in: Which AI model is the most fallible? Persuadable? Correctible? University of Arizona researchers assessed seven different generative AI large language models, or LLMs, for these three qualities during lengthy conversations. Their work, published in Nature’s Scientific Reports, reveals intrinsic limitations that might go undetected during one-off interactions.

[Experiment] I trained a model on childhood photos to simulate memory recall

I fine-tuned the good-old SDXL on 60 photographs from my childhood, using a limited family archive as the dataset through which to revisit that period of my life. Rather than reconstructing those images faithfully, the model produces unstable variations: spaces, faces and fragments that feel familiar without necessarily having existed. This speculative study treats generative …

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Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore

This post shows how to deploy a multimodal WhatsApp ordering assistant built with Amazon Bedrock AgentCore and Amazon Nova 2. Many quick-service restaurants spread ordering across an app, a website, a phone line, and the counter. Each of those is a separate system to build and run. Each one also fragments the customer’s history, making …

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Spanner migrations: Automating dual-write with Antigravity CLI for minimal disruption

When Google’s Finance Engineering team needed to modernize their legacy data layer, they chose Spanner, a globally distributed, strongly consistent, multi-model database with high availability capabilities. But migrating to Spanner without taking production services offline was a daunting engineering challenge: As the internal team responsible for the application, we needed to manually rewrite dual-write logic …

AI digital twins struggle to predict human behavior, creating ‘funhouse mirror’ distortions

While many fear artificial intelligence will replace humans, using AI to take over some human roles has benefits. Companies can use the technology to conduct surveys and polls, while behavioral scientists can run experiments on digital twins to gather faster insights without risking harm or distress to real participants.