OpenAI previews Codex IDE in ChatGPT mobile app

#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

#2 📝 OpenAI News

Helping ChatGPT better recognize context in sensitive conversations - On May 14, 2026 OpenAI updated ChatGPT with safety improvements that create short, time-limited "safety summaries" (generated by a safety-reasoning model and developed with mental-health experts) to capture earlier safety-relevant context in rare, high-risk conversations about suicide, self-harm, and harm-to-others so the system can de-escalate, refuse harmful details, or redirect to support. Internal evaluations reported safe-response performance improved by 50% for suicide/self-harm and 16% for harm-to-others in long single-conversation scenarios, and on GPT‑5.5 Instant improved by 39% (suicide/self-harm) and 52% (harm-to-others); the summaries scored 4.93/5 on safety relevance and 4.34/5 on factuality across >4,000 evaluations, with no meaningful reduction in ordinary chat quality.

#3 📝 Anthropic News

Anthropic forms $200 million partnership with the Gates Foundation - Anthropic is committing $200 million in grant funding, Claude usage credits, and technical support over the next four years in partnership with the Gates Foundation to fund programs in global health and life sciences, education, and economic mobility. The work will create Claude connectors, benchmarks, and public goods to accelerate vaccine and therapy research (targeting polio, HPV, and eclampsia/preeclampsia), integrate Claude with the Gates' Institute for Disease Modeling, power K-12 tutoring and literacy apps in the US, sub‑Saharan Africa and India, and build agriculture tools, portable skills records, and career-guidance systems for economic mobility.

#4 𝕏

clem 🤗 released Toto 2.0 — an open-source Apache 2.0 time series foundation model family (4M–2.5B params) on Huggingface where every size outperforms its predecessor on BOOM, GIFT-Eval, and TIME.

#5 𝕏

xAI released an early beta of Grok Build, an agentic CLI for coding, app building, and workflow automation exclusively for SuperGrok Heavy subscribers. They’ll use subscriber feedback to refine the model and product.

#6 𝕏

NVIDIA AI released OpenShell v0.0.41 with agent-driven policy management, CLI sandbox resource flags, and custom CA support for OIDC TLS verification. It also adds workspace-boundary checks for sandbox downloads along with bug fixes and stability improvements.

#7 𝕏

NVIDIA AI warns that tokenization is a growing bottleneck in inference pipelines as context windows explode, and introduces fastokens, an open-source library integrated with Dynamo & @lmsysorg to power next-gen 100K-token agent systems.

#8 𝕏

OpenAI is previewing Codex in the ChatGPT mobile app, letting you start new work, review outputs, steer execution, and approve next steps on your phone while Codex continues running on your laptop, Mac mini, or devbox.

Also covered by: @OpenAI

#9 📝 Claude Code Blog

How Claude Code works in large codebases: Best practices and where to start - Guidance on applying Claude Code to large, complex codebases, including best practices and recommended starting points for teams. The article targets enterprise engineers and teams looking to scale Claude Code integrations safely and effectively.

#10 📝 PromptLayer Blog

Best Prompt Management Platforms: Features, Comparisons, and Recommendations - Discusses the infrastructure gap created by moving from experimental prompting to production-grade AI, and the need for tools to manage many prompt variants across models and environments.

#11 📝 PromptLayer Blog

n8n Alternatives for AI Teams: Build LLM Workflows with Prompt Chaining - Explains how AI automation requirements have evolved beyond simple webhooks and connectors to orchestrating complex LLM calls, managing context windows, and chaining prompts—areas where traditional workflow tools fall short.

#12 𝕏

Santiago warns that sharing static keys fails to securely manage researchers, engineers, and automated agents across multiple nodes and data centers, and advocates using @goteleport’s identity-based access as the solution.

#13 𝕏

Santiago highlights Peter Bell’s advice that you don’t need a Mac Mini for local inference—instead, take a cloud-first approach using RunPod GPUs or specialist hardware like Sparks and Mac Studio for AI model workloads.

#14 in

Guillermo Rauch demos rendering images directly in the terminal using `npx ai-cli image 'a vercel ai sdk diagram'` and unveils the Vercel AI Gateway (𝐗𝐙𝐖 𝐒 -𝐐 𝐊𝐒-𝐌𝐏𝐒) for instant access to every image, video, and text model.

#15 𝕏

Andrew Ng launched “Transformers in Practice,” an interactive AMD-partnered course taught by Sharon Zhou.

#16 𝕏

Sebastian Raschka published a deep-dive on visual attention variants in computer vision—comparing channel, spatial, and self-attention modules with PyTorch implementations, benchmark results, and trade-off insights.

#17 𝕏

Aravind Srinivas highlights that by integrating Computer with Snowflake—where most enterprise data lives—you can deploy a fleet of on-call AI data scientist agents to work directly on your Snowflake data.

#18 𝕏

claire vo 🖤 warns that companies which locked into a single coding model provider, chat tool and harness in late 2025/early 2026 are now stuck in contracts and missing out on superior tools like Codex and Notion AI.

#19 in

Dan Shipper says the #1 leading indicator of an org getting “agent-pilled” is having its leadership team personally use Codex, Claude Code or Cowork daily. He’s been privately onboarding exec teams at top tech firms and is now opening a few slots to do the same.

#20 𝕏

Boris Cherny points out that Claude-p agent coding teams count as interactive usage and thus consume your subscription quota.

#21 𝕏

Harrison Chase says LangSmith Engine currently only supports LangSmith traces but can ingest OTEL and connects with 30+ frameworks. The team also offers hands-on help to migrate to LangSmith so you can try out Engine.

#22 𝕏

Harrison Chase clarifies the feature is currently hooked only to LangSmith traces but works with any trace source, including Claude Code and Crewai.

#23 𝕏

Sebastian Raschka published an HTML table detailing active-parameter ratios across major LLM architectures for easy, non-truncated comparison of model efficiency.

#24 📝 Claude Code Blog

The founder's playbook: Building an AI-native startup - A practical playbook for founders building AI-native startups, covering product, platform, code, apps, and cowork considerations. The article shares guidance across Claude Code, Claude Platform, and related tools to help startups design and scale AI-first products.

#25 📝 Surge AI Blog

LMArena is a cancer on AI - The post criticizes LMArena as a harmful benchmarking practice that prizes internet popularity over real-world reliability. It argues that relying on such metrics—especially in high-stakes domains like medicine—is akin to malpractice.