Welcome back, Superhuman. It’s been a day of epic announcements, accompanied by epic controversies:
Meta released a new agent app (but does anyone trust them with their data?)
OpenAI claims it has a solution for one of the most important problems in math, only to be drawn into a wave of criticism and controversy.
The day ended with an Anthropic researcher quitting in dramatic fashion over safety concerns, and receiving support from an unexpected source.
Today: OpenAI unveils ChatGPT Image 2.5, the story behind OpenAI’s blockbuster math breakthrough, and the latest prompts and trending social posts.
TODAY IN AI
Click here for a full walkthrough of Meta’s Muse agent. Photo: Meta
1. Meta unveils “world’s first personal AI agent”: The Instagram maker just dropped Muse, an AI agent app that connects to your email, calendars, shopping, payments, and smart home devices to carry out tasks on your behalf. Muse has its own computer that works in the background, so it can do things like book movie tickets or manage your inbox. However, some users have privacy concerns. See Muse in action here or try it out here.
2. OpenAI unveils ChatGPT Images 2.5 and a clever new way to prompt it: The upgrade promises sharper detail, more natural lighting, and up to 50% faster generation than Images 2.0 (see the difference between the two models here). What caught users’ attention, however, is a new feature called ‘Sketch,’ which allows you to doodle directly inside ChatGPT, then have the model turn that rough drawing into a polished image. OpenAI is betting that users will find visual prompting far more hands-on than typing. You can see ‘Sketch’ in action here.
3. Anthropic safety researcher resigns, sparks concerns over AI risks: Evan Hubinger, who leads alignment science at Anthropic, has unleashed a firestorm on social media, saying that he believes there’s a greater than 10% chance AI could “kill all humans” within the next decade. The comments came after researcher Jacob Coxon publicly quit the company over similar fears. The resignation post (29 million views), amplified by Hubinger’s backing, has reignited the debate about the pace of AI model progress.
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FROM THE FRONTIER
OpenAI just claimed a blockbuster math breakthrough. Some academics are crying foul.
🤔 Navier what? OpenAI claimed yesterday that an internal model, described as significantly more capable than GPT-6 Astra, has ‘solved’ a version of the Navier-Stokes equations, one of the seven Millennium Prize Problems, and widely considered to be one of the hardest problems in mathematics.
🚨 Why this matters: The Navier-Stokes equations aren't just an abstract curiosity. They describe how fluids move, which means they quietly underpin huge parts of modern life. Engineers use them to design jet engines and model airflow. Doctors rely on them to understand blood flowing through arteries.
👀 The controversy surrounding the claims
The announcement has landed amid a serious misconduct claim that has put OpenAI on the defensive.
Two academics — NYU's Tristan Buckmaster and Anthropic's Levent Alpöge — claim they spent a year working on a similar problem, using an unusually rare approach.
Buckmaster claims they'd uploaded their drafts into Codex, and that OpenAI, which had access to those logs, then produced a proof using the same unusual approach.
The dispute is feeding a broader anxiety: that major AI labs exploit access to users' private work and absorb their ideas, and this case is quickly becoming Exhibit A for academics who share that concern.
IN THE KNOW
What’s trending on socials & headlines today
😂 Meme Multiverse: Someone used AI to stitch some of the internet’s most iconic memes into one continuous, oddly cinematic video that has racked up 10 million views.
📰 Personal Press: Instead of doomscrolling through her phone, a creator used GrokBot to turn her calendar and inbox into a personalized newspaper, printed into a physical copy each morning before she wakes up.
🍿 Boardroom Drama: One of Silicon Valley’s most dramatic weeks is finally getting its own movie. The trailer for ‘Artificial’, starring Andrew Garfield and based on Sam Altman’s 2023 firing, just dropped (14M+ views).
🧰 Productivity Stack: OpenAI has bundled 16 ChatGPT plugins aimed at small businesses, covering the kind of repetitive admin and grunt work that quietly eats up a founder’s day. You can check them out here.
🎨 Made For You: Former Head of Product at X, Nikita Bier, used AI to generate renovation concepts that he says were close to construction-ready (1.2M views).
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PRODUCTIVITY
🚀 Agiloop*: Evaluate any codebase for hidden risks and opportunities—then turn recommendations into production-ready improvements. Get your assessment.
🍋 Lemon: Turn your voice into polished prompts, emails, and more. 12x faster than typing and 3x faster than voice dictation.
🤖 Decksy: Transform your ideas into professional-looking presentations.
📊 FigEditor: Create editable scientific research figures using AI.
TUTORIAL
How to turn your meeting notes into detailed project plans with GPT-6 Astra in ChatGPT
Photo: OpenAI
Open ChatGPT and toggle on Work. Choose GPT-6 Astra if it’s available on your plan.
Upload your meeting notes, transcript, or supporting files.
Ask Astra to extract the core project information: decisions, tasks, owners, deadlines, dependencies, risks, and open questions.
Sample prompt: “Turn these meeting notes into an actionable project plan. Extract every decision and task, assign the owner named in the notes, capture deadlines and dependencies, and flag anything that has no clear owner or due date. Do not invent missing information. Organize the output into a project tracker with these columns: Task, Owner, Status, Deadline, Dependency, Priority, and Risk.”Have Astra create the tracker as an editable spreadsheet, such as a Google Sheet or Excel file.
Review the tracker and ask Astra to highlight blocked tasks, missing owners, conflicting deadlines, and unresolved decisions.
Make any corrections, then ask Astra to produce a short project summary with the key milestones, immediate next steps, and biggest risks for the team.
EXTRAS
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Until next time — Zain, Theodore, & the Superhuman AI team.