“OpenAI News Building self-improving tax agents with Codex - Tax AI processed 7,000 tax returns in a Crete pilot, saved practitioners about one-third of their time, drafts returns with up to 97% accuracy, and increased throughput by roughly 50%.”

#1 📝 OpenAI News Building self-improving tax agents with Codex - Tax AI processed 7,000 tax returns in a Crete pilot, saved practitioners about one-third of their time, drafts returns with up to 97% accuracy, and increased throughput by roughly 50%. At launch only ~25% of returns reached ≥75% correct field completion, rising to 86% within six weeks as the system used practitioner feedback, structured production traces, and a Codex-driven improvement loop to autonomously iterate and expand into more complex filings. #11 𝕏 Sam Altman announces the OpenAI Foundation’s $250 M initial commitment to build impact measurement, transition support, and new economic models so AI can boost global quality of life and individual freedoms.

“OpenAI launched Goal mode in the Codex app, IDE extension, and CLI, enabling hands-off, long-running goal-driven coding that can run autonomously for hours or even days.”

#5 𝕏 OpenAI launched Goal mode in the Codex app, IDE extension, and CLI, enabling hands-off, long-running goal-driven coding that can run autonomously for hours or even days. #21 📝 OpenAI News OpenAI named a Leader in enterprise coding agents by Gartner - OpenAI was named a Leader in Gartner’s 2026 Magic Quadrant for Enterprise AI Coding Agents, citing Codex—used by more than 4 million people weekly and customers including Cisco, Datadog, Dell, and NVIDIA—and highlighting recent improvements such as GPT‑5.5, stronger tool use, faster performance, enterprise governance features (approval gates, RBAC, customizable policies, OS‑level sandboxing, auditable workspaces), and expanded deployment options including Codex on Amazon Bedrock and GSI partners like Accenture, Capgemini, Cognizant, Infosys, PwC, and TCS.

“An OpenAI model has disproved a central conjecture in discrete geometry - An internal OpenAI model produced a proof that disproves Erdős’s conjectured upper bound u(n)=n^{1+o(1)} for the planar unit-distance problem by constructing, for infinitely many n, point sets with at least n^{1+δ} unit-distance pairs (the original proof didn’t give δ but a refinement by Will Sawin shows δ = 0.014); the proof — using ideas from algebraic number theory — has been checked and endorsed by external mathematicians.”

#1 📝 OpenAI News An OpenAI model has disproved a central conjecture in discrete geometry - An internal OpenAI model produced a proof that disproves Erdős’s conjectured upper bound u(n)=n^{1+o(1)} for the planar unit-distance problem by constructing, for infinitely many n, point sets with at least n^{1+δ} unit-distance pairs (the original proof didn’t give δ but a refinement by Will Sawin shows δ = 0.014); the proof — using ideas from algebraic number theory — has been checked and endorsed by external mathematicians. Also covered by: @Sam Altman , @OpenAI #2 𝕏 Google DeepMind launched Gemini 3.5 Flash, an optimized edition of its large language model engineered for faster, low-latency inference. Also covered by: @Demis Hassabis #3 𝕏 Google AI launched Gemini for Science, a suite of AI-powered tools and experiments to accelerate scientific discovery by connecting and analyzing massive datasets. It’s designed to scale research workflows, speeding up hypothesis testing and insight generation. #4 𝕏 LlamaIndex 🦙 built a 600-line Next.js demo agent using LiteParse (no vector DB) to ingest SEC filings and answer questions with exact citations highlighted on the original PDF pages. It tackles the ~70% of analysts’ time currently spent pulling numbers from PDFs. #5 𝕏 Summary: OpenAI highlights AI’s emerging skill in sustaining complex, cross-domain reasoning to accelerate breakthroughs in biology, physics, engineering and medicine. #6 𝕏 Cursor launched multi-repository support for automations, letting agents reason across codebases to automatically execute, test, and verify tasks. #7 𝕏 Philipp Schmid launched an API that spins up an isolated Linux sandbox for Gemini to reason, run code, browse the web, and manage files in a single call. #8 𝕏 Harrison Chase launched Code Interpreter, a lightweight code execution environment for running RLMs and programmatic tool calls (and more) without spinning up a full sandbox. #9 𝕏 Santiago presents AG-UI, an open, event-based protocol that standardizes agent↔user communication for long-running, nondeterministic tasks—eliminating the need for custom glue code. #10 𝕏 Teresa Torres outlines how to build Claude-powered AI agents—defining identity, scheduler, tasks, and scripts—to automate prep work, follow-ups, and weekly reviews on custom schedules. #11 📝 PromptLayer Blog Best prompt management platforms — Features, comparisons, and recommendations - As teams move from experimental prompting to production-grade AI, they face an infrastructure gap managing prompt versions, models, environments, and changes. The article outlines that gap and compares platform features to help teams choose. #12 𝕏 Andrew Ng launched a short course with Google Cloud on building self-evaluating AI agents for image and video generation, teaching three evaluation techniques—image-text similarity scoring, LLM judges for custom criteria, and structured rubrics. #13 𝕏 Julien Chaumond launched Hugging Face Hardware, a community-driven dashboard revealing the real-world GPUs & CPUs powering open-source AI, plus VRAM distribution and inference hardware trends. #14 𝕏 Sebastian Raschka flags a new LLM parallel block design that matches vanilla transformer performance while delivering significantly higher throughput. #15 in Guillermo Rauch launched the AI Gateway plugin for WordPress, bringing any AI model or provider—covering text, image, video, and audio—to 42% of the web. #16 𝕏 claire vo 🖤 notes that Anthropic has locked down enterprises on Claude en masse, but warns vendor lock-in slows you from seeing the real frontier. Cutting-edge builders instead hop between OpenAI’s Codex, CoWork, and AI Studio to stay fast, flexible, and impactful. #17 𝕏 clem 🤗 celebrates Cohere’s release of the Apache 2.0-licensed “command-a-plus-05-2026-bf16” model on Hugging Face, highlighting their strong open-source momentum. #18 𝕏 clem 🤗 built and released Carbon: a frontier DNA base model with open weights, training code, and data pipeline. It’s 275× faster than the next-best model, runs locally on a laptop, and can process a whole human genome on a single GPU. #19 𝕏 claire vo 🖤 recaps her favorite #GoogleIO launches—Antigravity, Gemini, AI Studio, Flow, Omni, Stitch, Pomelli, and more—for engineers and designers. She also shares hands-on trials (and occasional failures) with the new tools. #20 𝕏 Peter Yang stresses that teams should “just try a lot and build to learn,” running 3–4 rapid iterations to discover what works, and stick to 90–120-day roadmaps instead of year-long plans. #21 𝕏 Sam Altman spotlights AGI’s three key impacts—accelerating research, powering companies, and personal AI—celebrates the “unit distance” breakthrough and offers $2M in OpenAI credits to every YC company. He urges ramping up personal AGI to help individuals achieve their goals. Also covered by: @Sam Altman , @OpenAI #22 𝕏 Logan Kilpatrick calls Gemini 3.5 the start of a new era after 2½ years of building its infrastructure, products, and team, and emphasizes that “the model is the product,” urging users to keep the feedback coming. #23 𝕏 Demis Hassabis unveils Gemini 3.5 Flash, a compact LLM using Flash Attention for sub-second inference and reduced GPU memory footprint, now available on Google Cloud’s Vertex AI. Also covered by: @Demis Hassabis #24 📝 Surge AI Blog Slop is a choice. Introducing Antidote. - Antidote is an evaluation framework that emphasizes expert human reviewers who read and grade AI outputs to push model evaluation beyond superficial or automated metrics. Its goal is to reduce low-quality

“OpenAI introduced Guaranteed Capacity, a new offering that lets customers secure long-term access to OpenAI compute via dedicated infrastructure, partnerships, and capacity-planning investments.”

#6 𝕏 OpenAI introduced Guaranteed Capacity, a new offering that lets customers secure long-term access to OpenAI compute via dedicated infrastructure, partnerships, and capacity-planning investments. Also covered by: @Sam Altman

“OpenAI and Dell Technologies partner to bring Codex to hybrid and on-premises enterprise environments - Codex—used by more than 4 million developers weekly—will connect with Dell’s on‑premises AI Data Platform and is being explored for integration with the Dell AI Factory so enterprises can deploy Codex and Codex‑powered agents closer to internal codebases, documentation, business systems, and workflows in hybrid or on‑premises environments.”

OpenAI connects Codex with Dell on-prem AI Data Platform #1 📝 OpenAI News OpenAI and Dell Technologies partner to bring Codex to hybrid and on-premises enterprise environments - Codex—used by more than 4 million developers weekly—will connect with Dell’s on‑premises AI Data Platform and is being explored for integration with the Dell AI Factory so enterprises can deploy Codex and Codex‑powered agents closer to internal codebases, documentation, business systems, and workflows in hybrid or on‑premises environments. The collaboration aims to provide the controls and infrastructure to build, test, automate, analyze, and deploy AI applications (including ChatGPT Enterprise and API solutions) against governed enterprise data on Dell infrastructure.

“#6 𝕏 Garry Tan announces that GBrain now ships with ZeroEntropy as its recommended default embedding and re-ranking engine, replacing OpenAI and Voyage AI.”

#6 𝕏 Garry Tan announces that GBrain now ships with ZeroEntropy as its recommended default embedding and re-ranking engine, replacing OpenAI and Voyage AI.

“OpenAI introduced a new personal finance experience inside ChatGPT, aimed at helping users manage and understand their finances through the assistant.”

#1 📝 OpenAI News A new personal finance experience in ChatGPT - OpenAI introduced a new personal finance experience inside ChatGPT, aimed at helping users manage and understand their finances through the assistant. The launch appears to be a product feature update integrating financial tools and guidance into ChatGPT.

“On May 14, 2026 OpenAI launched a preview of Codex inside the ChatGPT mobile app on iOS and Android (rolling out across Free, Go, and paid plans in supported regions), letting users connect to their laptops or managed remote environments and see live state — screenshots, terminal output, diffs, test results and approvals — via a secure relay while keeping files, credentials, and permissions on the host machine; OpenAI reports more than 4 million people use Codex weekly.”

#1 📝 OpenAI News Work with Codex from anywhere - On May 14, 2026 OpenAI launched a preview of Codex inside the ChatGPT mobile app on iOS and Android (rolling out across Free, Go, and paid plans in supported regions), letting users connect to their laptops or managed remote environments and see live state — screenshots, terminal output, diffs, test results and approvals — via a secure relay while keeping files, credentials, and permissions on the host machine; OpenAI reports more than 4 million people use Codex weekly. Remote SSH and Hooks are generally available, programmatic access tokens are offered on Enterprise and Business plans, HIPAA-compliant local-environment use is supported for eligible ChatGPT Enterprise workspaces, and support for connecting phones to the Codex app on Windows is coming soon. Also covered by: @OpenAI

“#3 📝 OpenAI News Building a safe, effective sandbox to enable Codex on Windows - OpenAI built a custom, unelevated sandbox for Codex on Windows after finding AppContainer too narrowly scoped, Windows Sandbox incompatible with acting on the user's real checkout (and unavailable on Home), and MIC unsafe because relabeling workspaces lowers their integrity; the prototype gives the sandbox a distinct identity via synthetic SIDs and uses write-restricted tokens to limit where Codex can modify files.”

#3 📝 OpenAI News Building a safe, effective sandbox to enable Codex on Windows - OpenAI built a custom, unelevated sandbox for Codex on Windows after finding AppContainer too narrowly scoped, Windows Sandbox incompatible with acting on the user's real checkout (and unavailable on Home), and MIC unsafe because relabeling workspaces lowers their integrity; the prototype gives the sandbox a distinct identity via synthetic SIDs and uses write-restricted tokens to limit where Codex can modify files. The default Codex sandbox runs commands with reduced permissions—allowing reads broadly, writes only inside the workspace, and no internet access unless explicitly enabled. #4 𝕏 Aravind Srinivas : Perplexity is building a secure, scalable agent runtime sandbox that handles proxy API keys securely, runs safety detection on all agent-accessed content, encrypts connector data, and decouples storage from compute. #5 in Udi Menkes built a “second brain” in Cloud Code a month ago that now sends him daily briefs—managing his content pipeline, tracking initiatives, and suggesting actions—while he simply feeds it context, feedback, and approvals.

“OpenAI launched Daybreak, a frontier AI platform combining its top models and Codex with security partners to accelerate cyber defense and enable continuous software protection.”

#1 𝕏 OpenAI launched Daybreak, a frontier AI platform combining its top models and Codex with security partners to accelerate cyber defense and enable continuous software protection. #2 𝕏 Sam Altman launched Daybreak, OpenAI’s AI-powered program to accelerate cyber defense and provide continuous software security, and is inviting companies to partner now. #3 📝 OpenAI News OpenAI launches the OpenAI Deployment Company to help businesses build around intelligence - OpenAI is launching the OpenAI Deployment Company, a majority‑owned subsidiary backed by more than $4 billion of initial investment and a partnership of 19 firms led by TPG (with Advent, Bain Capital, and Brookfield as co‑leads), to embed Forward Deployed Engineers into organizations and help build production AI systems.