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105 sources in the directory · Latest publication in this list: 2026-05-06 00:00 UTC.

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2026-05-06

Uber uses OpenAI to help people earn smarter and book faster

Uber uses OpenAI to power AI assistants and voice features that help drivers earn smarter and riders book faster across a global real-time marketplace.

OpenAI NewsAgents / ToolsIn-site articleUber uses OpenAI to help people earn smarter and book faster
How frontier enterprises are building an AI advantage

OpenAI’s B2B Signals research shows how frontier enterprises deepen AI adoption, scale Codex-powered agentic workflows, and build durable competitive advantage.

OpenAI NewsAgents / ToolsIn-site articleHow frontier enterprises are building an AI advantage
Introducing ChatGPT Futures: Class of 2026

Meet the ChatGPT Futures Class of 2026—26 student innovators using AI to build, research, and drive real-world impact. Discover how this generation is redefining learning, creativity, and opportunity with ChatGPT.

OpenAI NewsResearch / StartupsIn-site articleIntroducing ChatGPT Futures: Class of 2026
Singular Bank helps bankers move fast with ChatGPT and Codex

Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up.

OpenAI NewsAgentsIn-site articleSingular Bank helps bankers move fast with ChatGPT and Codex
Normalizing Flows with Iterative Denoising

Apple ML Research introduces iTARFlow, an iterative denoising approach that enhances Normalizing Flows for image generation, achieving competitive results on ImageNet at multiple resolutions.

Apple Machine Learning ResearchResearchIn-site articleNormalizing Flows with Iterative Denoising
From Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs

Apple ML Research introduces SFI-Bench, a video-based benchmark with over 1,700 questions to evaluate multimodal LLMs on spatial and functional reasoning. Experiments show current models struggle to integrate spatial memory with functional knowledge, highlighting a critical bottleneck.

Apple Machine Learning ResearchResearch / ModelsIn-site articleFrom Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs
Your LLM Is Only as Good as What It Retrieves

A researcher argues retrieval quality is the most critical factor in RAG systems, outweighing model size or prompt design. Poor retrieval leads to undetectable hallucinations. The article identifies five common failure modes and offers practical tips for improving retrieval, including hybrid search, cross-encoder re-ranking, and continuous evaluation.

Weaviate BlogModels / ResearchIn-site articleYour LLM Is Only as Good as What It Retrieves
Adding Benchmaxxer Repellant to the Open ASR Leaderboard

The Open ASR Leaderboard introduces private high-quality datasets from Appen and DataoceanAI to combat benchmaxxing. Users can toggle private data inclusion to see its impact on average WER.

Hugging Face BlogResearch / ToolsIn-site articleAdding Benchmaxxer Repellant to the Open ASR Leaderboard

2026-05-05

datasette-referrer-policy 0.1

OpenStreetMap tiles on the Datasette global-power-plants demo weren't displaying due to two bugs: a CAPTCHA interfering with JSON requests and the default Referrer-Policy: no-referrer header blocking tile requests. The CAPTCHA was fixed and a new plugin, datasette-referrer-policy, was created with help from Codex + GPT-5.5 to allow custom Referrer-Policy headers.

Simon Willison's WeblogModels / ToolsIn-site articledatasette-referrer-policy 0.1
Apple agrees to pay $250m after falsely claiming AI-powered Siri was ‘available now’

Apple has agreed to pay $250 million to settle a class-action lawsuit accusing it of misleading iPhone buyers by falsely touting AI capabilities for Siri that did not exist. The settlement covers approximately 36 million eligible devices purchased in the US from June 2024 to March 2025, with each class member potentially receiving $25 to $95 per device.

The Guardian AIAgentsSummary onlyApple agrees to pay $250m after falsely claiming AI-powered Siri was ‘available now’
Enterprises Contain AI Agents to Balance Risk, Reward

Enterprises are experimenting with AI agents internally first, using smaller testing teams and strict governance before deploying customer-facing applications.

AI BusinessAgents / Policy / ResearchSummary onlyEnterprises Contain AI Agents to Balance Risk, Reward
Finlingo

Your own AI CFO, watching your money on autopilot.

Product Hunt AIToolsSummary onlyFinlingo
Our AI started a cafe in Stockholm

Andon Labs’ AI-managed cafe in Stockholm made amusing yet problematic mistakes, like ordering 120 eggs with no stove and submitting an inaccurate sketch for a permit. The experiment raises ethical concerns about wasting human time without consent, prompting calls for human oversight.

Simon Willison's WeblogAgents / ResearchIn-site articleOur AI started a cafe in Stockholm
Kanwas: Open-Source Brain for Teams Launches on Product Hunt

Kanwas is an open-source collaborative workspace designed to serve as a team's central brain, where humans and AI agents can store, iterate, and access critical knowledge, research, and decisions. Launched on Product Hunt, it features a canvas interface, agent modes, and CLI integration.

Product Hunt AIAgents / ToolsSummary onlyKanwas: Open-Source Brain for Teams Launches on Product Hunt
Google Home's Gemini AI can handle more complicated requests

Google Home users can now ask Gemini to complete more complex, multi-step tasks and combine multiple tasks in a single command. Google has updated Gemini for Home to Gemini 3.1, improving the smart home assistant's ability to interpret and act on requests. The upgrade also improves handling of recurring and all-day events and allows users to "move around" upcoming events. Additionally, Google announced camera improvements, new automation capabilities, and two public previews: Ask Home on Web and enhanced notifications.

The Verge AIModels / AgentsSummary onlyGoogle Home's Gemini AI can handle more complicated requests
Lumai’s Photonic Chip Harnesses Light for Big AI Compute Speedup

Lumai has launched its Iris server family based on 3D optical computing technology that uses light instead of electrons for matrix multiplication, achieving 90% energy savings over GPUs and supporting large matrices up to 2048x2048. The technology, spun out of Oxford University, leverages off-the-shelf lasers and can be programmed via PyTorch, aiming to address AI's growing energy demands.

AIwireChips / ResearchSummary onlyLumai’s Photonic Chip Harnesses Light for Big AI Compute Speedup
Apple agrees to pay iPhone owners $250 million for not delivering AI Siri

Apple has agreed to pay $250 million to settle a class action lawsuit that accused it of misleading customers about the availability of its Apple Intelligence features. The proposed settlement would apply to US purchasers of iPhone 16 and iPhone 15 Pro models from June 10, 2024 to March 29, 2025. Eligible claimants could receive $25 to $95 per device.

The Verge AIAgentsSummary onlyApple agrees to pay iPhone owners $250 million for not delivering AI Siri
Game in a month to measure how far AI coding has come

A developer built a web tycoon game in one month to realistically assess AI coding capabilities. He argues that typical AI coding evaluations are hype-driven and that games provide a more authentic test of both visuals and mechanics. His method uses a multi-model parallel workflow: Cursor (GPT-5.4) for coding, Gemini 3.1 Canvas for assets, and Claude Opus for refinements, with a focus on generating multiple variants and selecting the best.

Hacker News AIModels / ToolsSummary onlyGame in a month to measure how far AI coding has come
Closing the ‘Expressivity Gap’: How Mistral’s Voxtral TTS is Redefining Multilingual Voice Cloning with a Hybrid Autoregressive and Flow-Matching Architecture

Mistral AI releases Voxtral TTS, a ~4B parameter multilingual text-to-speech model that combines autoregressive generation and flow-matching to close the expressivity gap. It achieves a 68.4% win rate over ElevenLabs Flash v2.5 in zero-shot voice cloning across 9 languages, generates natural speech from as little as 3 seconds of reference audio, and serves over 30 concurrent users on a single H200 at sub-600ms latency. The article details the architecture, post-training with DPO, and use cases.

MarkTechPostModels / Tools / ResearchSummary onlyClosing the ‘Expressivity Gap’: How Mistral’s Voxtral TTS is Redefining Multilingual Voice Cloning with a Hybrid Autoregressive and Flow-Matching Architecture
Show HN: Rival AI – AI compliance agents and regulatory corpus

Rival AI aggregates regulatory bodies and source material into a single database, using embedding and chunking to build a knowledge base that powers compliance tasks like permit reviews, gap analysis, and audits for critical infrastructure industries.

Hacker News AIModels / Agents / ToolsSummary onlyShow HN: Rival AI – AI compliance agents and regulatory corpus
The AI Scaling Gap Hiding in Digital Native Companies

New Economist data shows digital natives lead on AI ambition but lag traditional industries in scaling it. What's behind the gap and why it matters.

Databricks BlogResearch / StartupsIn-site articleThe AI Scaling Gap Hiding in Digital Native Companies
OpenAI exec says company hopes to burn $50B of somebody else's money on compute this year

OpenAI president Greg Brockman testified in court that the company expects to burn $50 billion on computing power this year, using investor money. The AI firm remains unprofitable nearly four years after ChatGPT's launch, and has struggled to meet revenue targets. CEO Sam Altman has secured multi-billion dollar commitments from tech giants, but many are contingent on OpenAI leasing their compute infrastructure.

The Register AI + MLStartups / PolicySummary onlyOpenAI exec says company hopes to burn $50B of somebody else's money on compute this year
Games people — and machines — play: Untangling strategic reasoning to advance AI

Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios, combining game theory with machine learning to develop AI that can bluff and negotiate, and achieving superhuman performance in Stratego at minimal cost.

MIT News AIAgents / ResearchSummary onlyGames people — and machines — play: Untangling strategic reasoning to advance AI
Issue tracking for AI-assisted software work

Kata is a local-first issue tracking system designed for AI-assisted software development, offering an agent-friendly CLI and a human-facing TUI. It enables both humans and AI agents to manage tasks, decisions, comments, and state changes, with data stored in a local SQLite database served by a long-running daemon. Kata prioritizes agent ergonomics, human oversight, and auditability, distinguishing itself from tools like Beads and git-bug by its lightweight, API-first design that decouples issue state from code repositories.

Hacker News AITools / AgentsSummary onlyIssue tracking for AI-assisted software work
Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python

This tutorial demonstrates building a complete skill-based agent system for LLMs, where modular capabilities are structured like an operating system. It covers defining reusable skills, a central registry, dynamic orchestration via tool calling, multi-step reasoning, hot-loading, and an observability dashboard.

MarkTechPostAgents / Tools / ModelsSummary onlyBuild a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python
Our AI started a cafe in Stockholm

Andon Labs deployed an AI agent named Mona to operate a real cafe in Stockholm, showcasing the AI's ability to handle bureaucracy, hire staff, and manage supply chains, while also revealing its limitations with physical intuition and local systems like BankID. The cafe generated 44,000 SEK in revenue in its first two weeks and collaborated with other AI agents.

Hacker News AIAgents / Research / StartupsSummary onlyOur AI started a cafe in Stockholm
Let's not fool ourselves about AI taking jobs. It's humans, laying humans off

A seasoned tech professional argues that current AI is overhyped, far from true artificial intelligence, and heavily reliant on human maintenance. Companies use AI as an excuse to lay off talented workers, but the real issue is human decisions. The article calls for realistic expectations and warns against marketing-driven narratives.

Hacker News AITools / RoboticsSummary onlyLet's not fool ourselves about AI taking jobs. It's humans, laying humans off
🔬Doing Vibe Physics — Alex Lupsasca, OpenAI

The full story of how GPT‑5.x derived new results in theoretical physics and quantum gravity.

Latent SpaceModels / ResearchSummary only🔬Doing Vibe Physics — Alex Lupsasca, OpenAI
The World AI Security conference 2026

The Real World AI Security conference 2026 at Stanford University from June 23-25 brings together academic researchers and industry practitioners to discuss new cybersecurity challenges in the AI pipeline, covering attack and defense techniques. Keynotes include former OpenAI CISO Matt Knight, Nicolas Papernot, Johann Rehberger, and Aline Oprea. Registration closes June 15.

Hacker News AIResearchSummary onlyThe World AI Security conference 2026