What Do Your Logits Know? (The Answer May Surprise You!)
Recent work has shown that probing model internals can reveal a wealth of information not apparent from the model generations. This poses the risk of unintentional or malicious information leakage, where model users are able to learn information that the model owner assumed was inaccessible. Using v...
A lot of AI startups exist partly because the foundation models haven't expanded into their category yet. As many jokingly acknowledge, that won't last forever.
How TabPFN Leverages In-Context Learning to Achieve Superior Accuracy on Tabular Datasets Compared to Random Forest and CatBoost
Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models based on decision trees, such as Random Forest, XGBoost, and CatBoost, have become the default choice...
A Coding Implementation to Build an AI-Powered File Type Detection and Security Analysis Pipeline with Magika and OpenAI
In this tutorial, we build a workflow that combines Magika’s deep-learning-based file type detection with OpenAI’s language intelligence to create a practical and insightful analysis pipeline. We begin by setting up the required libraries, securely connecting to the OpenAI API, and initializing Magi...
Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval
Open source. 5-minute setup. Vector RAG done right—try it yourself.
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KV Cache Is Eating Your VRAM. Here’s How Google Fixed It With TurboQuant.
Explore the end-to-end pipeline of TurboQuant, a novel KV cache quantization framework. This overview breaks down how multi-stage compression achieves near-lossless storage through PolarQuant and QJL residuals, enabling massive context windows with minimal memory overhead
The post KV Cache Is Eating...
Think AI "knows" what it’s doing? Scientists say think again
Calling AI things like “smart” or saying it “knows” something might sound harmless, but it can quietly mislead people about what AI actually does. A new study shows that news writers are more careful than expected, rarely using strongly human-like language. When they do, it often falls on a spectrum...
NVIDIA Releases Ising: the First Open Quantum AI Model Family for Hybrid Quantum-Classical Systems
Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have followed — but the gap between a quantum processor running in a lab and one running a real-world application remains stubbornly wide. NVIDIA moved to close that gap ...
Elon Musk’s AI company xAI has launched two standalone audio APIs — a Speech-to-Text (STT) API and a Text-to-Speech (TTS) API — both built on the same infrastructure that powers Grok Voice on mobile apps, Tesla vehicles, and Starlink customer support. The release moves xAI squarely into the competit...
Anthropic Releases Claude Opus 4.7: A Major Upgrade for Agentic Coding, High-Resolution Vision, and Long-Horizon Autonomous Tasks
Anthropic has launched Claude Opus 4.7, it’s latest frontier model and a direct successor to Claude Opus 4.6. The release is positioned as a focused improvement rather than a full generational leap, but the gains it delivers are substantial in the areas that matter most to developers building real-w...
Tesla brings its robotaxi service to Dallas and Houston
Tesla is expanding its robotaxi service to Dallas and Houston, according to a social media post from the company. The post says simply that “Robotaxi is now rolling out in Dallas & Houston 🤠” and includes a 14-second video showing Tesla vehicles driving without human monitors or drivers in the front...
AI Agents Need Their Own Desk, and Git Worktrees Give Them One
Git worktrees, parallel agentic coding sessions, and the setup tax you should be aware of
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Google AI Releases Auto-Diagnose: An Large Language Model LLM-Based System to Diagnose Integration Test Failures at Scale
If you have ever stared at thousands of lines of integration test logs wondering which of the sixteen log files actually contains your bug, you are not alone — and Google now has data to prove it. A team of Google researchers introduced Auto-Diagnose, an LLM-powered tool that automatically reads the...
Quantum AI just got shockingly good at predicting chaos
Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic systems. By letting a quantum computer identify hidden patterns in data, the AI becomes more accurate and stable over time. The method outperformed standard models while using far ...
Top 19 AI Red Teaming Tools (2026): Secure Your ML Models
As Generative AI matures, so do the threats against it. AI Red Teaming has evolved from a niche security practice into a regulatory requirement. Our 2026 guide breaks down the top 19 tools—including Mindgard, Garak, and Microsoft’s PyRIT—to help security teams identify vulnerabilities like data leak...
Beyond Prompting: Using Agent Skills in Data Science
How I turned my eight-year weekly visualization habit into a reusable AI workflow
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Oceania’s Quantum Horizon: How AI Innovation Is Quietly Rewriting the Future Across the Pacific
This article supports AI Quantum Intelligence's representation of regional interests and diversity around AI and advanced technology topics. AI and quantum innovation are accelerating across Oceania—from climate resilience to sovereign tech and Pacific-driven research shaping the region’s future.
The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale
By: Brett Axler, Casper Choffat, and Alo LowryIn the three years since our first Live show, Chris Rock: Selective Outrage, we have witnessed an incredible expansion of our live content slate and the live operations that support it. From modest beginnings of streaming just one show per month, we are ...
Anthropic launches Claude Design, a new product for creating quick visuals
The company says Claude Design is intended to help people like founders and product managers without a design background share their ideas more easily.
What if an unsupervised model could become a strong classifier with only a handful of labels?
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