weekend ai reads for 2024-11-22

The generative agents replicate participants’ responses on the General Social Survey 85% as accurately as participants replicate their own answers two weeks later, and perform comparably in predicting personality traits and outcomes in experimental replications. Our architecture reduces accuracy biases across racial and ideological groups compared to agents given demographic descriptions.

GPT o1 (by far the worst)- As an orchestrator, I have nothing positive to say about o1. It’s terrible at following instructions, adds 30 lines of commentary where it shouldn’t (messes up the inputs being sent to the tools), and is just generally awful. Working with o1 made me want to call my parents and apologize for every time I disobeyed them

Your instincts were worst for Impressionism; you identified every single Impressionist painting as human except the sole actually-human Impressionist work in the dataset (Paul Gauguin’s Entrance To The Village Of Osny).

It’s actually pretty fun. I already talk to myself all the time, but now I get to do it with an AI.

The issue isn’t that AI assistants get things wrong — it’s that they get things almost right in ways that can be more dangerous than obvious errors. They’re missing local knowledge: that messy, contextual, contingent element that often makes all the difference.

Craftsman is knowing how to work. Art is knowing when to stop. And I think knowing when to stop is going to be a very difficult thing for AI to learn because [of] it’s taste, and also lack of consistency, lack of controls, lack of quality.

We surveyed over 1,300 professionals — from engineers and product managers to business leaders and executives — to uncover the state of AI agents. Dive into the data as we break down how AI agents are being used (or not) today.

Instead of trying to force genAI tools to tackle thorny issues in legacy codebases, human experts should do the work of refactoring legacy code until genAI can operate on it smoothly. When direct refactoring is still too risky, teams can adjust their development strategy with approaches like strangler fig to build greenfield modules which can benefit immediately from genAI tooling.

Last year, U.S. venture firms invested $60 billion more than they collected, the highest such deficit in PitchBook’s 26 years of data. As a result, the investors that back VC firms, such as university endowments and pension funds, aren’t seeing the type of profits the industry has long delivered.

The Dimensions of AI Literacies (presented below) offer a flexible and transformative lens for understanding teaching and learning practices in an AI-enabled world. We invite you to explore this taxonomy to reflect on the challenges and opportunities presented by AI in education, leveraging a common vocabulary to identify and share effective practices for meaningfully implementing AI-supported approaches into the classroom.

PaperGen helps you generate well-structured long-form papers with fully referenced citations. It ensures originality, clarity, and precision with AI detection bypassing for a more human-like writing experience.

PaperGen crafts content that feels authentic and engaging, blending automation bypassing AI detection for any use cases.

As he shared on the social network Twitter recently, the UK-based Cheema connected four Mac Mini M4 devices (retail value of $599.00) plus a single Macbook Pro M4 Max (retail value of $1,599.00) with Exo’s open source software to run Alibaba’s software developer-optimized LLM Qwen 2.5 Coder-32B.

After all, with the total cost of Cheema’s cluster around $5,000 retail, it is still significantly cheaper than even a single coveted NVidia H100 GPU (retail of $25,000-$30,000).

Mathematical reasoning of this caliber demands more than just brute-force computation or simple algorithms. It requires what Fields Medalist Terence Tao calls “deep domain expertise” and creative insight. After reviewing the benchmark, Tao remarked, “These are extremely challenging. I think that in the near term, basically the only way to solve them is by a combination of a semi-expert like a graduate student in a related field, maybe paired with some combination of a modern AI and lots of other algebra packages.”