Daily AI Recap: Jan 26, 2026
Welcome to today's curated briefing of the most important AI developments.
🗞️ Top Stories
- Inside OpenAI’s big play for science: In the three years since ChatGPT’s explosive debut, OpenAI’s technology has upended a remarkable range of everyday activities at home, at work, in schools—anywhere people have a browser open or a phon...
- How animators and AI researchers made ‘Dear Upstairs Neighbors’: A movie poster for a film titled “Dear Upstairs Neighbors”, hand-painted in a vivid expressionist style, featuring an exasperated cartoon woman clutching her ears, surrounded by neon-colored images of...
- Obvious Ventures lands fund five with a 360-degree view of planetary, human, economic health: The 12-year-old firm raised $360,360,360 for its fifth fund. And there's a reason for that number....
- Leveling Up Your Machine Learning: What To Do After Andrew Ng’s Course: Finishing Andrew Ng's machine learning course <a href="https://www....
- Why chatbots are starting to check your age: This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. How do tech companies check if their users are kids? This ques...
- Tech workers call for CEOs to speak up against ICE after the killing of Alex Pretti: More than 450 tech workers from companies like Google, Meta, OpenAI, Amazon, and Salesforce have signed a letter urging their CEOs to call the White House and demand ICE leave our cities....
- How to Access Ministral 3 models with an API: Learn how to access Ministral 3 via the Clarifai API. Explore open-weight 3B and 14B reasoning models, benchmark performance, and integrate them using Python and Node.js....
- Only 5 days left: Over half of the first 500 TechCrunch Disrupt 2026 +1 passes at 50% off are already gone: Register now to save up to $680 on your TechCrunch Disrupt 2026 pass and get a +1 ticket at 50% off. Offer ends this Friday, January 30....
- Ray: Distributed Computing For All, Part 2: Deploying and running Python code on cloud-based clusters The post Ray: Distributed Computing For All, Part 2 appeared first on Towards Data Science....
- Only 5 days left: Over half of the first 500 TechCrunch Disrupt 2026 plus-one passes at 50% off are already gone: Register now to save up to $680 on your TechCrunch Disrupt 2026 pass and get a +1 ticket at 50% off. Offer ends this Friday, January 30....
- How Convolutional Neural Networks Learn Musical Similarity: Learning audio embeddings with contrastive learning and deploying them in a real music recommendation app The post How Convolutional Neural Networks Learn Musical Similarity appeared first on Towards ...
- 5 Useful DIY Python Functions for Parsing Dates and Times: Dates and times shouldn’t break your code, but they often do. These five DIY Python functions help turn real-world dates and times into clean, usable data....
- Causal ML for the Aspiring Data Scientist: An accessible introduction to causal inference and ML The post Causal ML for the Aspiring Data Scientist appeared first on Towards Data Science....
- AgentScope AI: A Complete Guide to Building Scalable Multi-Agent Systems with LLMs: Modern AI applications rely on intelligent agents that think, cooperate, and execute complex workflows, while single-agent systems struggle with scalability, coordination, and long-term context. Agent...
- Model Quantization Guide: Reduce Model Size 4x with PyTorch: I just downloaded the latest 4 Billion parameter model. I hit ‘Run‘. After a while, the Google Colab instance crashes. Sounds familiar? Well this is bound to happen if we don’t pay attention to the re...
- What is Clawdbot? How a Local First Agent Stack Turns Chats into Real Automations: Clawdbot is an open source personal AI assistant that you run on your own hardware. It connects large language models from providers such as Anthropic and OpenAI to real tools such as messaging apps, ...
- Ordering-based Causal Discovery via Generalized Score Matching: arXiv:2601.16249v1 Announce Type: new Abstract: Learning DAG structures from purely observational data remains a long-standing challenge across scientific domains. An emerging line of research levera...
- A Regularized Actor-Critic Algorithm for Bi-Level Reinforcement Learning: arXiv:2601.16399v1 Announce Type: new Abstract: We study a structured bi-level optimization problem where the upper-level objective is a smooth function and the lower-level problem is policy optimiza...
- Efficient Gaussian process learning via subspace projections: arXiv:2601.16332v1 Announce Type: new Abstract: We propose a novel training objective for GPs constructed using lower-dimensional linear projections of the data, referred to as \emph{projected likeli...
- Student Mental Health Screening via Fitbit Data Collected During the COVID-19 Pandemic: arXiv:2601.16324v1 Announce Type: new Abstract: College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data th...
🛠️ Featured Tools
- Analyzing Neural Network Information Flow Using Differential Geometry: arXiv:2601.16366v1 Announce Type: new Abstract: This paper provides a fresh view of the neural network (NN) data flow problem, i.e., identifying the ...
- When Agents Fail to Act: A Diagnostic Framework for Tool Invocation Reliability in Multi-Agent LLM Systems: arXiv:2601.16280v1 Announce Type: new Abstract: Multi-agent systems powered by large language models (LLMs) are transforming enterprise automation, y...
- SemanticALLI: Caching Reasoning, Not Just Responses, in Agentic Systems: arXiv:2601.16286v1 Announce Type: new Abstract: Agentic AI pipelines suffer from a hidden inefficiency: they frequently reconstruct identical interme...
- DSGym: A Holistic Framework for Evaluating and Training Data Science Agents: arXiv:2601.16344v1 Announce Type: new Abstract: Data science agents promise to accelerate discovery and insight-generation by turning data into execu...
- Doc2AHP: Inferring Structured Multi-Criteria Decision Models via Semantic Trees with LLMs: arXiv:2601.16479v1 Announce Type: new Abstract: While Large Language Models (LLMs) demonstrate remarkable proficiency in semantic understanding, they...
- SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care: arXiv:2601.16529v1 Announce Type: new Abstract: Large language models (LLMs) show promise in clinical decision support yet risk acquiescing to patien...
- Synthesia hits $4B valuation, lets employees cash out: British startup Synthesia, whose AI platform helps companies create interactive training videos, has raised a $200 million Series E round of funding t...
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