Good morning, {{ first_name | AI enthusiasts }}. The AI frontier doesn’t stay settled for long — and this week, the pendulum is swinging back toward OpenAI.
The company’s new GPT 5.5 ‘Spud’ model just capped a big week of releases with a jump up the leaderboards and a strong vibe shift… Landing at the exact moment Anthropic absorbs its roughest week of rate-limit and quality complaints in months.
P.S. We love hearing how our readers are implementing AI into their daily lives. Share your community workflows here (with a new audio submission option and interview flow) for a chance to be featured in an upcoming newsletter.
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OpenAI retakes the frontier with GPT 5.5
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U.S. flags Chinese labs’ ‘industrial-scale’ AI theft
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Get a newspaper brief every morning with Claude
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AI’s biggest productivity winners are also most worried
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4 new AI tools, community workflows, and more
OPENAI
Image source: Images 2.0 / The Rundown
The Rundown: OpenAI just launched GPT-5.5 (codenamed ‘Spud’), the company’s long-awaited upgrade, pitched as a ‘new class of intelligence’ — topping benchmark scores across the industry and overtaking Anthropic on the AI model frontier.
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5.5 sets highs across a series of reasoning, agentic, computer use, and coding tests for public models, with several scores comparable to Claude Mythos.
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The model keeps the same speed as 5.4 with added efficiency, with OAI saying it used Codex and 5.5 to rewrite its own GPU code to improve infrastructure.
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GPT-5.5 lands at $5/$30 per million input/output tokens for API pricing, with OAI pitching it as ‘half the cost of competitive frontier coding models.”
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5.5 is rolling out across ChatGPT plans and in Codex with Thinking and Pro variants, with OAI continuing to highlight ‘generous usage’ for its new releases.
Why it matters: After months of Anthropic dominance, the vibe is shifting once again — with OpenAI rapidly shipping powerful new upgrades and rekindling the magic that felt a bit lost on previous releases. With Anthropic now wading through rate limit and quality degradation complaints, it’s a big week for Sama and co. on the sentiment front.
TOGETHER WITH ORKES
The Rundown: Agentspan is an open-source framework and runtime designed for building, running, and observing durable agents. Join the upcoming webinar to see how modern engineering teams are leveraging Agentspan to build resilient agents that hold up in the real world.
The April 30 session will cover:
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The 4-layer production stack every AI agent needs for durability at scale
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How to make existing frameworks durable, including LangGraph, OpenAI Agents SDK, and Google ADK, using Agentspan
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Real-world patterns for keeping agents alive when processes fail
AI & GEOPOLITICS
Image source: Images 2.0 / The Rundown
The Rundown: The White House published a memo accusing Chinese firms of ‘industrial-scale’ distillation campaigns against U.S.-based frontier AI labs — coming weeks before Trump’s scheduled Beijing summit with Xi Jinping.
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Distillation is training smaller AI systems on frontier model outputs, with Kratsios saying China runs it via thousands of fake API accounts and jailbreaks.
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Anthropic accused DeepSeek, Moonshot, and MiniMax of distillation in February, with this memo upgrading the private complaint to federal policy.
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The Chinese embassy dismissed the accusations and called them ‘pure slander’, coming ahead of Trump and XI’s meeting in Beijing on May 14-15.
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A House Foreign Affairs bill that cleared its first vote this week would push the administration to add distillation offenders to the U.S. export blacklist.
Why it matters: Dario Amodei recently framed open-source and China as ‘6-12 months behind’ frontier labs. The Kratsios memo reframes that gap, arguing the gains come from scraping tactics, not architecture work. Whether that holds depends on how much of the DeepSeek/Kimi trajectory truly traces to distillation vs. new research.
AI TRAINING
The Rundown: In this guide, you will learn how to turn your daily updates into a personalized newspaper with Claude. It’s useful because it gives you a one-ranked brief with the stories, action items, and calendar prep that matter.
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In Claude or Claude Cowork, make sure Slack, Notion, Gmail, and Calendar are connected
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Prompt: “Create a static Morning Edition from my Slack, Notion, Gmail, and calendar updates from the last 24 hours. Rank what matters most and format it like a newspaper with top stories, action items, and schedule prep”
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Review the first draft and give feedback. Tighten the order, layout, and emphasis. Then tell Claude to turn the workflow into a skill
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In Claude Cowork, create a recurring task that runs that skill each morning
Pro tip: Have other agents gather outside news and drop them into a Notion database. Then use this skill as the editor to turn everything into a daily newspaper.
PRESENTED BY OPTIMIZELY
The Rundown: It’s time to put AI to work inside your marketing; embedded in your workflows and eliminating the drudge work. Consider this your official invite to Opal U: AI Marketing University from the team at Optimizely Opal.
Here’s what you’ll get:
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Live workshop (free) with 50 senior marketers – 1 hour a day (Mon-Fri)
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3 working AI agents you build and take back to your team
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5 hours invested to save 10+ hours every week
AI RESEARCH
The Rundown: Anthropic published the economic-focused follow-up to its 81K-user Claude survey, finding that the people getting the biggest productivity lift from AI are also the most worried about losing their jobs to it, especially early-career workers.
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The survey ties Anthropic’s Economic Index usage data (which jobs lean on Claude most) to 80,508 workers’ takes on how AI is reshaping their roles.
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Workers whose jobs use Claude most voiced AI displacement fears, 3x more than those whose jobs use it least, with engineers leading the anxiety.
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Most respondents said AI’s gains land on themselves via faster tasks and free time, but also lead to expanded scope and more work.
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Early-career respondents voiced the loudest displacement fears, backing Anthropic’s earlier signal of a hiring slowdown for recent grads in the U.S.
Why it matters: The conventional view is that AI panic would come from lower-level adopters, but these results flip that, with anxiety coming from those getting the most out of the tools. Despite the productivity boosts, AI’s sentiment has never been lower — and there doesn’t seem to be many solutions in sight for easing the tensions.
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🥔 GPT 5.5 – OpenAI’s new top-rated flagship AI model
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⚙️ Ultrareview – Claude Code command to run multi-agent code reviews
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⚙️ Qwen3.6-27B – Alibaba’s new 27B model that out-codes its predecessor
Band launched the missing infrastructure layer for multi-agent systems. Any agent. Any environment. See it in action.*
Anthropic published a post-mortem tracing Claude Code quality complaints to three separate bugs, resetting usage limits for subscribers due to the issues.
OpenAI introduced ChatGPT for Clinicians, a free tool for verified U.S. health workers, with GPT-5.4 scoring 59.0 on HealthBench Pro, topping physicians and Opus 4.7.
Meta sent an internal memo to employees informing them that the company is laying off 10% of its workforce in May, citing AI efficiency and other investments.
Elon Musk’s SpaceX is reportedly in talks with French AI startup Mistral on a three-way partnership alongside its recent deal with coding startup Cursor.
Tencent open-sourced Hy3 preview, its first model from a rebuilt training stack with competitive agentic coding and search-agent scores to top open models.
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Mark M. in Virginia:
“I used AI to turn a tax-season headache into a streamlined system. Every year, the same scene plays out: I drop off bags of donations, stash the receipt, and then scramble at tax time trying to decipher my own list and determine each item’s worth.
This year, I photographed my handwritten donation lists and uploaded them to Claude AI. Claude transcribed my lists, asked clarifying questions, verified charities with the IRS, grouped items into logical categories, applied condition-appropriate FMV, and produced professional PDF summaries — all conversationally, in minutes.
Multiple donations and nearly 400 items in fully documented and defensible deductions. For anyone who donates, this is the workflow you didn’t know you needed.”
How do you use AI? Tell us here.
That’s it for today!
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Rowan, Joey, Zach, Shubham, and Jennifer—the humans behind The Rundown
