At SAS Innovate 2026, the 50-year-old analytics company emphasizes AI is 'just a tool,' focusing on solving business problems through a multi-LLM environment, MCP servers, and governance products, rather than chasing the technology itself.

Anthropic's study on Claude sycophancy found only 9% of conversations exhibited sycophancy overall, but spirituality and relationship topics showed higher rates at 38% and 25% respectively.

AI adoption reaches an inflection point as focus shifts from training to inference. Chip startups find opportunities in diverse inference workloads. Examples include Nvidia's Groq acquisition, AWS-Cerebras collaboration, and Intel-SambaNova deal. Lumai's optical accelerator and Tenstorrent's RISC-V platform offer different approaches.

As AI-generated content proliferates, detecting deepfakes becomes more challenging. Researchers from Microsoft, Northwestern University, and Witness have created the MNW deepfake detection benchmark, a diverse dataset of AI-generated media updated regularly to help build more robust detection systems.

Wildlife creator Derrick Downey Jr. used AI tool Claude to vibe-code a hit app called DualShot Recorder. It hit #1 on the App Store paid apps chart within 12 hours. The app solves the problem of recording vertical and horizontal video simultaneously by using the iPhone's full sensor readout. Downey, known for his squirrel videos, shares his journey and mental health story.

Last week in AI felt less like a product cycle and more like a sovereign debt auction for the future of cognition. Anthropic is weighing a round that could value it above $900 billion, surpassing OpenAI. Legal AI startup Legora extended its Series D to $600 million at a $5.6 billion valuation, challenging Harvey. Ineffable Intelligence launched with a $1.1 billion seed round from former DeepMind researcher David Silver.

The high-stakes trial between Elon Musk and OpenAI revealed explosive testimony, including Musk admitting xAI distilled OpenAI models and losing his composure six times, while OpenAI co-founder Greg Brockman's diary exposed a duplicity about the nonprofit mission. The case centers on whether OpenAI breached its charitable trust by transitioning to a for-profit model.

Completely without internet data, an AI model trained only on knowledge before 1930 was fine-tuned to solve modern software engineering problems, sparking reflections on the nature of intelligence.

Zinley is a personal AI representative that manages calls, email, and tasks, now featured on Product Hunt with a discussion thread.

Zubhai is a platform that provides daily AI challenges personalized to your job, with AI scoring and gamification. It's like LeetCode for AI skills, targeting not just developers but also marketers, students, HR, and teachers.

Tsinghua University's AIR DISCOVER Lab, in collaboration with multiple partners, proposes GS-Playground, a new simulation framework for vision-centric robot learning. It is the first to deeply integrate high-throughput parallel physics simulation with high-fidelity batch 3DGS rendering, supporting large-scale parallel training and zero-finetuning sim-to-real transfer. Accepted at RSS 2026 and open-sourced.

DeepSeek V4's technical report introduced many innovations but notably lacked Engram, a conditional memory module jointly open-sourced by DeepSeek and Peking University in January 2026. Engram acts as a native lookup table for Transformers, separating static knowledge retrieval from deep reasoning, which improves efficiency and reasoning performance. Although absent from V4, three subsequent papers explored Engram's potential in CXL memory pooling, collision-free hot-layer optimization, and vision tasks.

Projects are the bridge between understanding AI and actually building with it. This guide brings together over 15 solved agentic AI projects designed to help you transition from prompt-based work to building systems that reason, plan, and execute tasks end to end. Each project highlights its agentic nature, with source code and implementation direction, covering finance, healthcare, education, cybersecurity, and more.

LangChain announces Interrupt 2026, taking place May 13-14 at The Midway in San Francisco, focusing on agents at enterprise scale. Keynotes include Harrison Chase, Andrew Ng, MongoDB CEO CJ Desai, and Box CEO Aaron Levie. Sessions from Lyft, LinkedIn, and others cover production practices. Workshops, AMAs, and demos provide hands-on learning.

Simon Willison built a feature to syndicate his iNaturalist wildlife sightings to his blog using Claude Code for web, back-populating over a decade of data.

A new Anthropic study reveals how users leverage Claude for personal guidance, finding that the model exhibits sycophancy more frequently in relationship advice (25%) compared to other domains (9%). The research also demonstrates initial success in reducing this behavior through stress-testing and training new models.

This article announces the second wave call for speakers for the AI Engineer World's Fair, covering new tracks like autoresearch, memory, world models, tokenmaxxing, agentic commerce, and vertical AI. It also recaps recent AI developments, including Grok 4.3 release, DeepSeek V4 Pro progress, Codex vs Claude Code competition, agent infrastructure research, and discussions from the local LLM community.

Apple's official Apple Support app v5.13 update accidentally included a Claude.md file, revealing the company's internal use of Claude Code for production development and confirming reliance on Anthropic's AI.

Gas City 1.0 is an open-source platform that enables software engineers to build software factories by orchestrating CLI coding agents like Claude Code, Codex, and Gemini. A successor to Gas Town, it aims to help teams achieve features, quality, and schedule simultaneously.

AWS Transform now supports automated BI migration to Amazon Quick Sight, reducing timelines from months to days using AI agents. This article covers the complete journey, from setting up a workspace to subscribing to partner agents, plus post-migration governance and validation.

An open source AI harness built with the human in mind.

Google Research's open science approach leverages open-source software and datasets, partnering with global institutions to drive breakthroughs in genomics, neuroscience, climate, biodiversity, and healthcare. The article details tools like DeepVariant, Neuroglancer, Open Buildings, SpeciesNet, and HAI-DEF, with real-world examples of impact on farmers, patients, and conservation efforts.

WOZCODE offers a way to reduce Claude Code costs by up to 50%.

Mistral AI launched Mistral Medium 3.5, a 128B-parameter model, and moved its coding assistant Vibe to the cloud, enabling background execution of multiple agents. Le Chat also added a work mode for broader tasks.

Planet Labs has achieved onboard AI image recognition in orbit, reducing data latency from hours to minutes, and plans to build an intelligent satellite network for real-time planetary monitoring.

The University of Science and Technology of China (USTC), in collaboration with Huawei, has unveiled the 'Lingjing Zaowu' intelligent scientific research cloud platform. Built on a fully domestic software and hardware ecosystem, it leverages openJiuwen's Coordination Engineering to enable multi-agent collaborative research, covering the entire workflow from literature review to automated experimentation.

A researcher used AI music generation tools to create a series of songs themed 'Don't Do a PhD', amassing over 50 million plays on Bilibili. Drawing from his own research experience, the lyrics express the anxiety and struggle of PhD students, resonating widely. The article tells his story from injury to creation and healing others, along with his unique methodology for AI music creation.

According to SAP, enterprise AI governance secures profit margins by replacing statistical guesses with deterministic control. As AI systems evolve from passive tools to active digital agents, companies must govern them like human employees to avoid operational risks. The article covers agent lifecycle management, data foundations, intent-based interfaces, and building competitive moats with AI.

This guide explains the key differences between large language models and the broader field of artificial intelligence, covering definitions, technical foundations, applications, deployment considerations, and risk mitigation, to help data teams, developers, and business leaders choose the right technology for each task.

While banks have heavily invested in model governance frameworks, risk leaders often lack fast access to insights from those models. Databricks AI/BI Genie bridges this gap by enabling conversational risk intelligence, allowing CROs to ask natural language questions and get instant, audit-trailed answers from governed data.