This Week in AI: Fable 5, the Clone Wave, and Uber’s AI Reality Check
This week, egghead.io cofounder John Lindquist joined host YK Sugi, founder of CS Dojo and developer experience manager at Eventual, to cover the latest AI news. First on the agenda was the contested release of Claude Fable 5. They also examined the financial shifts reshaping the technology industry...
Structured Outputs with LLMs: JSON Mode, Function Calling, and When to Use Each
Getting reliable, readable responses out of your LLM, and knowing which tool to reach for
The post Structured Outputs with LLMs: JSON Mode, Function Calling, and When to Use Each appeared first on Towards Data Science.
India’s AI Sovereignty Push: Building Indigenous Models, Chips, and National Compute Infrastructure
In this article, we celebrate and recognize that many of our members and readers are from India and the surrounding region. We're always trying to develop and publish articles with a regionally diverse and global interest. So with that, let's focus our attention on India and how that region and coun...
General Intuition in talks to raise $300M at around $2B valuation
General Intuition is in talks to raise around $300 million at a roughly $2 billion valuation from backers including Jeff Bezos. The startup trains AI agents on spatial-temporal reasoning.
For decades, the existence of the hydrophobic core, a region in the 3D structure of proteins where hydrophobic amino acids reside together, has been considered a general property in proteins. What we have found now may extend that model. In particular, the rest of amino acids also seem to cluster to...
When Kubernetes first came onto the scene, it was a major turning point, a revision of the infrastructure and operations space that transformed the way developers and ops personnel build, deploy, and maintain applications in the cloud. It has since become the clear standard for how modern applicatio...
Most People Use ChatGPT Wrong: 10 Features and Tips That Changed How I Work
Most people used ChatGPT like a smarter search engine. Ask a question, get an answer, and move on. It works but it leaves a surprising amount of value on the table. Over the past few years, ChatGPT has evolved far beyond a simple chatbot. It can browse the web, analyze files, generate images, mainta...
Dispatching the Parsed RAG Question: Chunk Strategy, Model Tier, Activations, Audit
Enterprise Document Intelligence [Vol.1 #6c] - The decisions the parser makes on top of the user string, using the document’s profile: dispatch, activations, full schema, three approaches to deciding what fires, the audit _meta block, and a broker-corpus walkthrough
The post Dispatching the Parsed R...
At Cannes Lions, NVIDIA Partners Reshape Advertising and Marketing With AI
The digital era gave the advertising and marketing industry speed; the AI era is giving it autonomous operations. For companies building next-generation technologies for advertising and marketing, the question is no longer whether to adopt AI but whether their infrastructure can support it at the s...
The Power and Pitfalls of Vector-Based Image Search
A hands-on guide to setting up image similarity search in Milvus, and why visual replication isn't always enough.
The post The Power and Pitfalls of Vector-Based Image Search appeared first on Towards Data Science.
France Advances Europe’s AI Future With NVIDIA Technologies
A year ago at NVIDIA GTC Paris at VivaTech, France laid out plans to advance local AI — from new AI factories and national compute capacity to open frontier models and industrial platforms. Now, that AI infrastructure is coming online. AI agents are running in production, startups are deploying appl...
Gaussian Mixture Attention: Linear-Time Sequence Mixing via Probabilistic Latent Routing
arXiv:2606.18283v1 Announce Type: new
Abstract: The dense token-to-token interaction pattern of standard dot-product attention remains a central bottleneck in scaling Transformer architectures to long contexts. We introduce \textbf{Gaussian Mixture Attention (GMA)}, a probabilistic attention-style ...
Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier
arXiv:2606.18284v1 Announce Type: new
Abstract: The limiting resource for training agents via reinforcement learning (RL) is increasingly frontier task supply: valid, solvable tasks just difficult enough to train the current model. As reasoning and agentic models improve, fixed task distributions s...
CODEBLOCK: Learning to Supervise Code at the Right Granularity
arXiv:2606.18286v1 Announce Type: new
Abstract: Supervised fine-tuning of code LLMs typically applies uniform cross-entropy loss to all response tokens, implicitly assuming that every token provides equally useful learning signal. Recent token-level selection methods challenge this assumption in na...
A Link between Shock-wave Theory and Symmetry-reduced Stochastic Gradient Descent for Artificial Neural Networks
arXiv:2606.18303v1 Announce Type: new
Abstract: We develop a mathematically explicit link between shock-wave theory and the symmetry-quotiented learning dynamics of stochastic gradient descent, drawing on differential geometry, Lie group theory, and fluid mechanics. Specifically, after quotienting ...
NAVI-Orbital: First In-Orbit Demonstration of a Zero-Shot Vision-Language Model for Autonomous Earth Observation
arXiv:2606.18271v1 Announce Type: new
Abstract: As Earth Observation data generation outpaces downlink bandwidth and human-in-the-loop processing, a widening gap has emerged between onboard collection and actionable ground intelligence. This paper presents NAVI-Orbital, a software system deployed o...
CaVe-VLM-CoT: An Interpretable Vision-Language Model Framework
arXiv:2606.18385v1 Announce Type: new
Abstract: Vision-Language Models (VLMs) remain prone to hallucinations, producing fluent but visually unfaithful outputs. Existing chain-of-thought and retrieval-augmented methods only partially address this, as they neither enforce step-level citation groundin...
Searching for Synergy in Shared Workspace Human-AI Collaboration
arXiv:2606.18413v2 Announce Type: new
Abstract: Automated AI agents are increasingly capable, yet many scientific and professional tasks require human judgment and contextual expertise. We study shared-workspace human-AI teams, where AI agents and human collaborators must coordinate responsibilitie...
arXiv:2606.18543v1 Announce Type: new
Abstract: Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service. Yet real-world challenges require a combination of sophisticated skills that remain largely untested in agents:...
DeFAb: A Verifiable Benchmark for Defeasible Abduction in Foundation Models
arXiv:2606.18557v1 Announce Type: new
Abstract: A rule-based logic solver resolves every instance in our benchmark in under 50 microseconds with 100% accuracy; the best frontier language model reaches 65% at best and drops to 23.5% under rendering-robust evaluation (worst case over four surface ren...
OpenAI Releases LifeSciBench, a 750-Task Benchmark Grading AI Models on Real Life-Science Research With Expert-Written Rubric
OpenAI's LifeSciBench evaluates whether frontier AI can handle real life-science research across 750 expert-authored tasks, seven workflows, and seven biological domains. Built by 173 PhD scientists with 19,020 rubric criteria, it grades reasoning and decisions, not just recall. The best model, GPT-...