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Research by Incogni [4] reveals that imposter calls (impersonating a person, agency, or company) were a major problem in 2023. AI makes it easier for bad actors to aggregate user information for robocalls, imposter calls, and other types of fraud [4]. Deep fake technology is bound to make this worse.
OpenAI has announced partnerships with Le Monde and Prisa Media involving the integration of their content into ChatGPT to provide users with interactive and insightful access to news and to aid in model training.
The European Parliament has approved the world's first comprehensive AI regulatory framework, setting global standards for artificial intelligence, categorizing risks, and aiming for innovation alongside fundamental rights protection, with staggered implementation starting in 2025.
Figure has implemented OpenAI's technology to allow its robots to have full conversations with people. OpenAI's models provide high-level visual and language intelligence while Figure's neural networks deliver fast, low-level dexterous robot actions. This X post contains a video showing a person talking to a Figure robot and getting it to perform tasks, explain the reasoning behind the tasks, and self-assess on how the tasks went.
This work shows that you can train models individually and then merge them together into a single Mixture-of-Experts model.
Evaluating language models trained to code is a challenging task. Most folks use HumanEval from OpenAI. However, some open models seem to overfit to this benchmark. LiveCodeBench is a way to measure coding performance while mitigating contamination concerns.
Researchers in a recent study used a virtual team called 'Evil Geniuses' to test the safety of LLMs. They found that these AI agents are less robust against malicious attacks, provide more complex responses, and make it harder to detect inappropriate replies.
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How do you broaden access to data and AI? The Semantic Lakehouse is currently gaining traction as a way to increase data engineering efficiency while maintaining a tool-agnostic architecture. Learn how it works in this upcoming webinar [12] featuring Databricks architect Pulkit Chadha and AtScale [12] CTO Dave Mariani. Save your spot,
Reranking documents is key for retrieval but hard to do in practice. This library provides tools for reranking documents. It can be integrated into your retrieval pipeline.
Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions.
This project introduces ViT-CoMer, a new backbone architecture enhancing Vision Transformers (ViT) for dense prediction tasks without the need for pre-training.
NVIDIA co-founder Curtis Priem has donated $275 million to Rensselaer Polytechnic Institute (RPI), impacting its technological advancements and allowing it to house an IBM Quantum System One computer. He gave away his NVIDIA shares after the IPO, valuing meaningful contributions over wealth retention. Priem's philanthropy has been pivotal in enhancing RPI's academic and research infrastructure.
Arvind Jain, CEO of Glean, discussed the challenges and strategies for enterprise AI startups at a Lightspeed meetup, emphasizing the importance of delivering true business value, persistence in hiring, and prioritizing product quality over cost and speed. Jain also highlighted the slower adoption of generative AI tools in enterprises due to privacy and security concerns. Glean aspires to be a ubiquitous enterprise AI platform, embedding deeply within organizational workflows to fundamentally change how people work.
Anthropic's new AI model, Claude 3, stands out for its 'warmth,' making it a robust partner in creative writing tasks. Claude 3 is described as more human-feeling and naturalistic, crossing the threshold from good thought to deep thought made enjoyable. Despite technical benchmarks not fully capturing this nuance, Claude 3 is poised to revolutionize how we interact with AI in creative processes.
Assort Health has announced a $3.5 million funding round to scale its generative AI solution designed specifically for healthcare call centers.
Regulating AI like a physical object is unfeasible due to its nature as a process integral to numerous applications across the economy.
The Full Self-Driving (FSD) Beta v12.3 update, which Elon Musk has described as a "big release", uses end-to-end neural nets for vehicle controls, a shift from programmer-coded controls.