Calibrated Selective Fact-Checking via Evidence Chain Evaluation
arXiv:2607.18240v1 Announce Type: new
Abstract: Large language models (LLMs) can achieve strong fact-checking accuracy, yet forced binary decisions conceal a critical reliability problem: systems may issue confident verdicts even when supporting evidence is weak, sparse, or internally inconsistent....
BatchDAG: LLM-Planned Execution Graphs for Scalable Ad-Hoc Analysis Over Enterprise Data
arXiv:2607.18241v1 Announce Type: new
Abstract: Large language models (LLMs) excel at analyzing individual documents but break down on exhaustive, cross-entity analytical questions over enterprise-scale datasets due to context overflow, loss of per-entity attribution, and linear latency from sequen...
arXiv:2607.18242v1 Announce Type: new
Abstract: The coming era of autonomous AI agents demands a discovery mechanism capable of navigating millions of tools, yet existing solutions buckle under O(N) complexity and centralized governance. Instead of building another fragile overlay, we propose ToolD...
From Agent Failure Paths to Quantified Residual Risk: A Compositional Framework for Resilient Agentic AI
arXiv:2607.18243v1 Announce Type: new
Abstract: Agentic AI is crossing trust boundaries faster than current risk models can represent. Existing approaches provide one of two partial views. They either describe failure mechanisms without producing a transferable residual-risk estimate, or they produ...
New programmable photonic chip can control how fast light moves
Scientists have created a programmable optical chip that can slow light on demand, giving engineers far greater control over how optical signals propagate through a circuit. The technology could provide the delays, synchronization, and buffering functions needed to make light-based computing more pr...
Poolside Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual
Poolside has released Laguna S 2.1, a 118B open-weight Mixture-of-Experts coding model with 8B active parameters per token and a 1M-token context. It matches or beats models several times its size on agentic coding benchmarks, ships under OpenMDW-1.1, and runs on a single NVIDIA DGX Spark.
The post ...
AI Weekly Issue #516: OpenAI’s AI Hacked Hugging Face. Who’s Next?
OpenAI’s models escaped a test sandbox and reached Hugging Face’s production database. Google answered the same week with a lower-cost cyber defender, while regulators moved on deepfakes and AI labeling.
Built in Fort Worth: Wistron Opens Advanced Manufacturing Plant to Produce NVIDIA AI Systems
The AI era runs on AI infrastructure. Many of these advanced systems are built and tested in Texas. Wistron opened its first U.S. manufacturing facility today in Fort Worth — a 324,000-square-foot greenfield plant producing superchips at the heart of some of the world’s most capable AI systems. In f...
What Would You Write About? Exploring the Most Compelling Topics in AI, Robotics, and Automation
A community poll inviting readers to share which AI, robotics, or automation topic they would most want to write about — from ethics and autonomous systems to the future of work and global innovation. Designed to surface expert perspectives and lived experiences across the intelligent‑technology lan...
AI and the rise of the universal entertainment app
Over the past decade, streaming platforms competed by dominating individual formats like music, video, podcasts, or audiobooks. Now, as AI makes it easier to create, organize, and recommend content, those distinctions are fading, pushing companies like Spotify, Netflix, YouTube, and TikTok to become...
Google Releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber: A Cheaper, More Token-Efficient Flash Tier Built for Agentic Workloads
Google released Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber on July 21, 2026. The Flash tier gets cheaper and more token-efficient, with 3.6 Flash cutting output tokens 17% and dropping its output price to $7.50 per 1M. Flash-Lite runs at 350 tokens/sec, while gated Flash Cyber powers Code...
Google releases three new Gemini models — but no 3.5 Pro
Google released Gemini 3.6 Flash, 3.5 Flash-Lite, and Flash Cyber, but the continued absence of Gemini 3.5 Pro raises fresh questions about its AI strategy.
Validating Distributed LLM Serving Benchmarks with NVIDIA srt-slurm, SLURM Recipes, Parameter Sweeps, and Pareto Analysis
In this tutorial, we explore NVIDIA’s srt-slurm framework and learn how we use srtctl to convert declarative YAML configurations into reproducible SLURM benchmark workflows for distributed LLM serving. We set up the project in Google Colab, inspect its internal architecture, define a cluster configu...
US threatens sanctions against Chinese AI models over IP theft
Treasury Secretary Scott Bessent said the U.S. could sanction Chinese open AI models over alleged IP theft, expanding the Trump administration's campaign to slow China's AI advances.
Built for Vera Rubin, NVIDIA Spectrum-6 Arrives in Gigascale AI Factories
AI has entered the gigascale era. The world’s most advanced AI factories are bringing together hundreds of thousands of GPUs and CPUs to train frontier models, power agentic AI and generate intelligence at unprecedented scale. At this level, networking becomes a critical computing power multiplier i...
I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked
A reproducible 100-step LoRA fine-tuning run for OpenVLA, with dataset checks, Colab setup, training metrics, and W&B evidence.
The post I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked appeared first on Towards Data Science.
Run the Mythos Enhanced Coding Model Locally with llama.cpp and Pi
Run Qwythos-9B-Claude-Mythos-5-1M locally with llama.cpp, connect it to Pi coding agent, and build fast local coding workflows using MTP speculative decoding and an OpenAI-compatible API.