Xaira Therapeutics is all in on data generation for model building! We talk with Bo Wang and Ci Chu about how and why.

Substack partners with AI detection company Pangram to offer a tool that scans posts, notes, replies, and comments for AI-generated text. Creators can also declare their writing process to enhance transparency. The tool is now available on web and iOS, with Android coming soon.

A new formal proof in Lean establishes that for almost all positive integers, the Collatz process reaches a value below any growing threshold in logarithmic time, with explicit constants 145 (Syracuse) and 436 (Collatz). The result does not prove the full conjecture but represents a significant density result.

Big Tech companies are using off-balance-sheet vehicles like VIEs to finance AI infrastructure, potentially masking true debt levels. Experts warn of risks reminiscent of the Enron scandal.

Databricks announces public preview of Discover page and Domains, helping organizations find trusted data and AI assets through business-aligned organization and AI-powered recommendations, while providing context for AI agents.

TRMNL launches a new AI Agent feature in public beta, enabling users to build custom plugins using natural language. Requires an OpenRouter or Anthropic API key, with optional Tavily API for web search. Users can enable Agent in their account and interact via the private plugin interface. Average cost per plugin is $1-3. Supports multiple models but does not yet allow publishing plugins created with Agent.

threadfork is an AI meeting notetaker that runs entirely on your Mac. No bot joins your calls, no audio touches the cloud. It records, transcribes, and extracts summaries, commitments, and entities locally. Offers a 14-day free trial, Pro at $39/month.

Jim Cramer warns U.S. companies against using Chinese AI models to save costs, citing national security concerns. He supports OpenAI and Anthropic's stance and recommends Bing West's new book.

Apollo uses Deep Agents and LangSmith to power an AI Assistant that handles prospecting, enrichment, outreach, analytics, and MCP integrations.

This article explores the fundamental differences between AI automation and agentic AI, arguing that many so-called 'AI agents' are just automated workflows with an LLM bolted on, and provides guidance on when to use each.

OpenAI introduces a scorecard tool to help enterprises evaluate the business value of AI amidst growing competition from low-cost Chinese AI providers.

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 CodeMender for vulnerability finding. The flagship 3.5 Pro remains delayed.

Major benchmarks measure what AI can do. None measure whether it does what you mean: the distance between what you ask an AI to do, and the unspoken assumptions about how you want the AI to do it. We propose a new metric: the Genie coefficient.

Google releases the Gemini 3.6 Flash family, including 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber models, aiming for faster and more efficient AI inference.

Augustus has raised $180 million to build a clearing bank tailored for the age of AI and stablecoins. The company already processes billions of euros annually through its regulated entity in Finland, serving clients including crypto exchange Kraken. It received conditional approval for a U.S. national bank charter from the OCC in May, with plans to add dollar clearing once final approval is granted. Augustus built its platform from scratch to support programmable payments and 24/7 settlement, aiming to address new risks from AI and enable stablecoin-based treasury management.

Automated linter that catches AI-generated vulnerabilities, hallucinated dependencies, and code truncations before they hit production.

Apache Spark 4.2 shifts focus towards an AI-native data platform, introducing Metric Views, native vector search, real-time Python streaming, geospatial support, and more, aimed at simplifying feature engineering, real-time signals, and embedding workflows for AI developers.

In this part, we enhance the AI agent's security with Docker sandboxing, prompt injection defenses, and input validation. The Docker sandbox isolates tool execution, preventing damage to the host machine. Prompt injection defenses use delimiters and explicit instructions to treat tool outputs as data. Input validation ensures all tool inputs conform to schema before execution.

OpenAI launches the ChatGPT for Small Businesses program, helping entrepreneurs build AI skills, automate work, and grow with ChatGPT Work.

AgentManager is a tool that helps you never miss a Claude Code session waiting for your input.

A federal judge has approved Anthropic's $1.5 billion class action settlement with authors who accused the company of training AI on copyrighted books. The settlement provides about $3,000 per book and is the largest known copyright recovery in history.

Gumroad CEO Sahil Lavingia shared data showing human payroll dropped from $419K in June 2021 to $43K in June 2026, while AI token spend rose from zero to $43K in the same period, matching human costs for the first time. AI now dominates engineering commits and customer support, with response times slashed to minutes. The company sees this as a case study for deep AI integration.

This tutorial explores NVIDIA's srt-slurm framework, learning how to 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 configuration, dry-run built-in and custom recipes, and model a disaggregated prefill-and-decode deployment for DeepSeek-R1. We also generate parameter sweeps, interact with the typed Python API, validate expanded configurations, and analyze simulated benchmark results through a throughput-versus-latency Pareto frontier.

PathToShip scanned 1,868 public AI-built apps, finding only 23% pass production-readiness bar. The scanner's initial false-positive rate for critical findings was 42%, reduced to ~25% after fixes. Results reveal typical gaps in production readiness, security, and architecture for AI-generated code.

This post explores generating thinking tokens for datasets lacking reasoning traces in SFT customization. It examines the reasoning suppression problem, introduces Self-Distilled Reasoning (SDR), validates it across three benchmarks, and provides practical recommendations. SDR reuses the base model's chain of thought as a stand-in, mitigating catastrophic forgetting while maintaining or improving target performance.

Moto is an AI video editor that integrates generation directly into the timeline, allowing users to create, edit, and finish videos without switching tools. Features include prompt-to-motion graphics, an assistant for natural language edits, reusable sources, and a producer for first cuts. It supports multiple AI models and is currently in private beta with a free core editor.

Researchers from MIT Media Lab introduce the concept of AI Cohabitants—physical AI entities with distinct personalities that coexist with users as autonomous beings, unlike traditional assistants. They built a robotic parrot, the Stochastic Parrot, to explore this paradigm, fostering spontaneous and emotionally rich interactions.

Google has released Gemini 3.6 Flash and 3.5 Flash-Lite as new workhorses designed to cut latency and token costs for enterprise AI agents. The new models offer significant performance improvements, targeted pricing, and integrated computer-use tools, with enterprise partners already deploying them in production.

The low-cost, open-weight model and others from China give enterprises more choices, given the performance claims of some Chinese model providers.

LangSmith now supports tracing for voice agents built with Pipecat, LiveKit, OpenAI Realtime, and Gemini Live. Capture audio, STT and TTS latency, interruptions, tool calls, and more in one trace.