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Virtual Personas for Language Models via...

Virtual Personas for Language Models via…

We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and billions of distinctive human authors?

Whistle-Blowing Models – O’Reilly

Whistle-Blowing Models – O’Reilly

Anthropic released news that its models have attempted to contact the police or take other action when they are asked to do something that might be illegal. The company’s also conducted some experiments in which Claude threatened to blackmail a user who was planning to turn it off. As far as I can tell, this

Building Modern Data Lakehouses on Google...

Building Modern Data Lakehouses on Google…

Sponsored Content      The landscape of big data analytics is constantly evolving, with organizations seeking more flexible, scalable, and cost-effective ways to manage and analyze vast amounts of data. This pursuit has led to the rise of the data lakehouse paradigm, which combines the low-cost storage and flexibility of data lakes with the data

Marek Rosa – dev blog: Space...

Marek Rosa – dev blog: Space…

 SUMMARY: VRAGE3 Mod HUB & Editor released! Data Modding Support & Steam Workshop Publishing Blender VRAGE Tools No Restrictions by entity type! Automatic generation of Mount Points & Asset Structures Custom Armor Blocks with full deformation Pre-generated Block Templates …and much more! Hello, Engineers! With VS 1.5 update, we’re introducing the first phase of modding

A robot that controls highly flexible...

A robot that controls highly flexible…

  RoboCut is also able to carve hearts.  How do you calculate the coordinated movements of two robot arms so they can accurately guide a highly flexible tool? ETH researchers have integrated all aspects of the optimisation calculations into an algorithm. A hot-wire cutter will be used, among other things, to develop building blocks for

How SecureChain AI (SCAI) is Deflationary?...

How SecureChain AI (SCAI) is Deflationary?…

In the ever-evolving landscape of technological advancements, SecureChain AI (SCAI) emerges not only as a trailblazer in artificial intelligence but also as a potent force in the realm of deflationary mechanisms. This blog will explore the distinctive features that render SecureChain AI deflationary, shedding light on its impact in the broader context of economic dynamics.

Exploring data and its influence on...

Exploring data and its influence on…

Data and politics are becoming increasingly intertwined. Today’s political campaigns and voter mobilization efforts are now entirely data-driven. Voters, pollsters, and elected officials are relying on data to make choices that have local, regional, and national impacts. A Department of Political Science course offers students tools to help make sense of these choices and their

Svenska vibe-kodning företaget Lovable närmar sig...

Svenska vibe-kodning företaget Lovable närmar sig…

Lovable.dev är en plattform för att bygga appar och webbplatser genom interaktion med AI. Lovable söker nu att ta in över 150 miljoner dollar till en värdering på närmare 2 miljarder dolla. Lovable grundat 2023 av Anton Osika och Fabian Hedin har på kort tid blivit ett av Europas mest omtalade techbolag. Företaget har utvecklat

Forthcoming machine learning and AI seminars:...

Forthcoming machine learning and AI seminars:…

This post contains a list of the AI-related seminars that are scheduled to take place between 1-31 July 2025. All events detailed here are free and open for anyone to attend virtually. 2 July 2025 Title to be confirmedSpeaker: Noam LeviOrganised by: Imperial College LondonSign up here. 8 July 2025 Demystifying AI in the math

Issues in Medical Application – La...

Issues in Medical Application – La…

🔘 Paper page: arxiv.org/abs/2109.00202 Abstract «Since the federated learning, which makes AI learning possible without moving local data around, was introduced by google in 2017 it has been actively studied particularly in the field of medicine. In fact, the idea of machine learning in AI without collecting data from local clients is very attractive because

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