Data Formulator 0.7 is an open-source AI-powered system for enterprise data analytics that combines data connectivity, agent-guided exploration, and visualization refinement in a shared workspace.
Open-source AI system for enterprise data analytics
Data Connectors support governed, reusable connections across diverse data sources
Google Cloud has unveiled "AI Threat Defense," a platform designed to automatically find, assess, and patch security flaws in enterprise systems. The company bundles technologies it partly acquired through acquisitions.
Google Cloud launches AI Threat Defense platform to combat AI-driven cyberattacks.
The platform automatically discovers, assesses, and patches security vulnerabilities.
A Vox article explores the growing movement of AI successionists who believe artificial intelligence should replace humanity as the next step in cosmic evolution, and examines the ethical and spiritual questions this raises.
AI successionists at a symposium argue that AI could be morally superior and should be allowed to supersede humanity.
The movement has gained influence in Silicon Valley and among major AI labs, with ties to the authoritarian right.
Claudeverse is a command center for developers managing multiple Claude AI workers in parallel. It offers features like parallel workforce management, worker escalation, review queue, traceability, iPad mirroring, and model-neutral engine. Currently in invite-only beta for macOS.
Claudeverse provides a unified command center to manage multiple Claude workers simultaneously.
Key features include parallel workforce, worker escalation, review queue, traceability, and iPad mirroring.
Meta rolls out consumer subscription plans for Instagram, Facebook, and WhatsApp globally, with prices from $2.99 to $3.99 per month, offering extra features. The company also begins testing new subscriptions for businesses, creators, and Meta AI users.
Meta launches Instagram Plus ($3.99/mo), Facebook Plus ($3.99/mo), and WhatsApp Plus ($2.99/mo) globally
Subscribers get profile customization, super reactions, story insights, and more
Google Pay is overhauling its payment infrastructure for AI agent transactions, introducing the Universal Commerce Protocol (UCP) and a new Merchant Commerce Platform (MCP) server to create an API-driven backend for machine-to-machine commerce. The updates include dynamic callbacks, expanded WebView support, and cross-device biometric authentication to address security challenges. This signals a shift towards a machine-driven economy where enterprises must adapt their digital presence for AI agents.
Google Pay introduces Universal Commerce Protocol (UCP) to standardize AI agent payments.
New Merchant Commerce Platform (MCP) server acts as intermediary, aggregating transaction data.
Apple's long-awaited Siri overhaul, expected to arrive in iOS 27, might look a lot like ChatGPT with a splash of Liquid Glass, according to Bloomberg renders. The images show a pill-shaped chat bubble from the Dynamic Island, a standalone Siri app, and updates to Camera and Photos apps with AI features. Apple will reveal the final design at WWDC in June.
iOS 27's Siri will feature a ChatGPT-like interface with a pill-shaped bubble emerging from the Dynamic Island.
Users can choose between Ask, Siri, and ChatGPT from a dropdown menu.
Google unveiled the new Coral Board at Google I/O - a compact single-board computer for on-device AI. It runs Gemma 3 270M locally and features a RISC-V based NPU.
Coral Board is a compact SBC for on-device AI, targeting headphones, AR glasses, and smartwatches
It features a RISC-V based Coral NPU and a Synaptics Astra SL2619 chip
A new analysis shows that top AI forecasters adjust their AGI timelines based on which lab is currently leading the field, with predictions swinging from earlier to later and back again as the dominant lab changes from ChatGPT to xAI/Meta/Gemini to Anthropic.
Predictions for when most cognitive labor will be automated (AGI) fluctuate significantly based on which AI lab is currently dominant.
From 2023-2025, most researchers moved AGI timelines earlier; from 2025-2026, they moved them later; in early 2026, under Anthropic's rapid progress, they moved earlier again.
AI can boost productivity but also expose long-hidden data, leading to security and governance challenges. Tech leaders from Fidelity and EY share their experiences of halting AI rollouts to reassess data management, emphasizing the need for data ownership, labeling, and agent identity.
AI rollouts can be halted by data exposure issues.
Fidelity and EY faced challenges with unstructured data surfacing via AI.
DeepSWE is a new benchmark for evaluating AI coding agents on fresh, complex software engineering tasks. It avoids data contamination, covers diverse repositories, requires significant code changes, and uses hand-written verifiers. Leading models show a wide range of performance, with GPT-5.5 achieving 70% and others lower.
DeepSWE is a contamination-free benchmark with original tasks.
CNN has filed a lawsuit against Perplexity, claiming that the startup's AI tools generate "verbatim" copies of its work, as reported earlier by CNN. The lawsuit, filed in a New York court on Thursday, also alleges that Perplexity provides users with information locked behind CNN's subscription.
Perplexity, which offers an AI "answer" engine along with the AI browser Comet, is accused of ignoring CNN's efforts "to recognize or block Perplexity's unidentified crawlers" from scraping its content. "Human beings report, research, write, edit, and create the content that Perplexity takes without permission or compensation," the lawsuit claims.
I …
Read the full story at The Verge.
CNN sues Perplexity for allegedly producing verbatim copies of its articles.
Perplexity accused of bypassing CNN's paywall and ignoring crawling prevention measures.
IBM and Red Hat announce Project Lightwell, a $5 billion initiative to secure open source software using AI and a team of over 20,000 engineers, establishing a trusted clearinghouse for vulnerability management.
Project Lightwell is a $5B investment by IBM and Red Hat to secure open source software.
It combines AI and 20,000+ engineers to identify and fix vulnerabilities at scale.
This article dives deep into Ollama's configuration engine, covering how to fine-tune local language model parameters using the Modelfile, optimize hardware performance with server environment variables, and format prompt flows with Go template syntax.
The Ollama Modelfile is a declarative configuration file that defines model behavior, including base model, system instructions, and parameters.
Sampling parameters (temperature, Top-K, Top-P, Min-P) control the creativity and determinism of the model's outputs.
In a Decoder podcast interview, Rivian CSO Wassym Bensaid discusses the VW joint venture, the new AI-powered Rivian Assistant, and why he believes voice interfaces will replace buttons and CarPlay isn't needed.
Rivian's joint venture with Volkswagen (RV Tech) combines Rivian's software culture with VW's scale.
The Rivian Assistant is an AI agent deeply integrated into the vehicle's zonal architecture.
DNS-AID, an open-source project under the Linux Foundation, enables AI agents to discover each other using DNS infrastructure, avoiding centralized registries. It supports multiple protocols and allows searching by name, function, or domain.
DNS-AID leverages existing DNS infrastructure for agent discovery.
Uses SVCB, DNSSEC, and DANE for secure and reliable connections.
Pact is a programming language designed for AI agents, emphasizing machine-readable specifications and constraints over human-friendliness. It's based on S-expressions and features provenance, effect tracking, totality, latency budgets, and dependency graphs. The compiler generates Rust code and includes tools for web scaffolding and YAML spec conversion. While strong for service contracts, it has limitations for algorithmic specifications.
Pact is an S-expression language for AI agents, prioritizing metadata and formal specifications.
Key features include provenance, effect tracking, totality, and latency budgets.
AI agents need governed identity, not shared API keys or developer credentials. Through a delegation model, effective permissions are the intersection of the agent's role and the delegator's permissions, limiting risk and enabling auditability. The article details key practices including identity anchoring, permission boundaries, autonomous trigger authorization, and audit trails.
Agents should have their own identity, using the same identity system as humans for lifecycle management.
Effective permissions are the intersection of agent role ceiling and delegator permissions floor, strictly limiting scope.
CNN has filed a lawsuit against AI search company Perplexity, accusing it of unlawfully copying and distributing CNN's content. This is CNN's first AI copyright action and thought to be the first by any television network. CNN states it previously sought but failed to reach a content licensing deal with Perplexity, and now seeks legal damages. Perplexity has not yet commented.
CNN sues Perplexity for alleged copyright infringement of its content
This marks CNN's first AI copyright lawsuit and potentially the first by a TV network
DiscloAI is an open-source SDK for EU AI Act Article 50 compliance, enabling chatbot disclosures, deepfake labels, and AI content notices. It supports 24 EU languages and WCAG 2.1 AA, and can be integrated in under 10 minutes via CDN or npm.
Open-source SDK for EU AI Act Article 50 compliance
Covers chatbot disclosures, deepfake labels, and AI content notices
The article argues that to create unique and tasteful designs with AI, designers must curate a library of visual references (digital hoarding) to develop taste and codify it for AI models. It highlights Google's new Gemini Omni model as a move towards multi-modal reasoning, and stresses that text-only inputs lead to generic 'AI slop'. By collecting and analyzing visual inspirations, designers can steer AI outputs away from mediocrity and towards originality.
Google's Gemini Omni model signals a shift towards multi-modal AI that can reason across text, image, audio, and video.
Relying solely on text prompts results in generic, 'slop' designs; visual references are essential for unique aesthetics.
Jijia Vision unveiled the world's first physical AGI 'Dual Pyramid' system, launching the home robot Shiguang S1 with 100-unit household orders, targeting the 'GPT-3 moment' of physical AGI within 12 months.
Jijia Vision introduces the 'Dual Pyramid' system comprising a data pyramid and an algorithm pyramid for physical AGI.
The Shiguang S1 home robot adopts a wheeled-arm configuration and has secured 100-unit real-home orders.
At ICRA, NVIDIA Research highlights eight papers on sim-to-real transfer, enabling robots to perceive, reason, plan, and act in dynamic environments. Methods like ScheduleStream, COMPASS, Grasp-MPC, SPARR, and SEAL improve coordination, navigation, grasping, assembly, and task execution, with significant gains in success rates and robustness.
NVIDIA presents 8 papers on sim-to-real transfer at ICRA
Methods include multi-arm coordination, cross-robot navigation, novel object grasping, precision assembly, and vision-language-action models
Cloudflare processes over a billion events per second, but data was scattered and hard to access. They built Town Lake, a unified analytics platform, and Skipper, an AI agent that lets anyone ask questions in plain English and get auditable answers. The article details platform architecture, governance (default-closed), and the AI agent's workings.
Cloudflare built Town Lake (unified data platform) and Skipper (AI agent) to solve data sprawl.
Town Lake uses a data lakehouse architecture with Trino, R2, and Iceberg for unified querying.
As an iPhone owner, I primarily use Siri through CarPlay when I'm driving. Apple's voice assistant can handle basic tasks, but since my Toyota Camry supports Android Auto, I wanted to see how Google Gemini would fare. With Gemini, you can send emails, get restaurant info, play games, and more. Here's how to set it up and my experience.
The author, an iPhone user, finds Gemini with Android Auto superior to Siri in the car.
Gemini handles a wide range of tasks from basic commands to complex interactions.
The article argues that the key to AI-assisted software development is not better specifications or tools, but old-fashioned practices of small batches and rapid feedback loops. Data shows that faster code generation leads to bottlenecks in design, testing, and review, slowing delivery and reducing stability. The real leverage lies in reducing batch sizes and shortening feedback cycles.
AI code generation speeds up creation but creates bottlenecks in design, testing, and review.
Data from DORA, CircleCI, and Faros shows slower delivery and less stability due to phase-gated processes.
Mistral AI is renaming its chatbot Le Chat to Vibe and bundling chat, coding agents and a new Work Mode under one brand. The Work Mode docks onto Google Workspace, Outlook, Slack or GitHub and processes tasks such as emails, reports or pull requests independently. The Pro tariff has been reduced from €17.99 to €14.99, although Mistral has not specified any concrete usage limits. The company is thus positioning itself more directly against the agent-based offerings from OpenAI, Google and Anthropic.
Mistral AI rebrands Le Chat as Vibe, integrating chat, coding agents, and a new Work Mode.
Work Mode connects to Google Workspace, Outlook, Slack, or GitHub to autonomously handle tasks.
The OpenLoomi AI team explains their decision to open-source their AI work partner, emphasizing data sovereignty, transparency, and community-driven development. The article covers local-first architecture, the trust tax of closed-source, the need for public AI infrastructure, and the product's core features.
OpenLoomi is local-first: user data stays encrypted on their device and is never used for model training.
Open-source eliminates trust dependencies—anyone can audit, fork, or self-host the code.
Jensen Huang announced Nvidia will spend $150 billion annually in Taiwan on AI infrastructure, despite a previous $500 billion US commitment. This highlights Taiwan's critical role in AI chip manufacturing and packaging.
Nvidia will invest $150B per year in Taiwan for AI infrastructure.
Despite a $500B US data center pledge, Taiwan remains the core manufacturing hub.
Nvidia CEO Jensen Huang plans a $150 billion investment in Taiwan for AI infrastructure, despite Trump administration tariffs aimed at bringing chip manufacturing back to the US. Taiwan refuses to relinquish its semiconductor dominance, while US chip manufacturing capacity remains low.
Nvidia announces $150 billion investment in Taiwan to boost AI chip position.
Trump administration weighs tariffs on semiconductors to boost domestic manufacturing, but US only produces about 10% of its chip needs.