ChatGPT now remembers everything
PLUS: Patients control AI and robotics with thought
Rowan Cheung
April 11, 2025
Read Online | Sign Up | Advertise
Good morning, AI enthusiasts. OpenAI just gave ChatGPT a massive memory boost, enabling it to automatically remember and reference key information across all your conversations without being asked.
Is this persistent memory the breakthrough that finally turns ChatGPT into the truly personalized AI assistant we've been waiting for?
In today’s AI rundown:
OpenAI gives ChatGPT a memory boost
Mira Murati’s AI startup eyes record funding
Turn YouTube videos into high-ranking blogs
Study: AI still struggles with software debugging
4 new AI tools & 4 job opportunities
LATEST DEVELOPMENTS
OPENAI
🧠 OpenAI gives ChatGPT a memory boost
Image source: OpenAI
The Rundown: OpenAI just rolled out a massive update to ChatGPT’s memory, enabling the AI assistant to automatically remember and reference information across all user conversations, delivering more personalized and relevant responses.
The details:
ChatGPT will cut across all conversations, listening in all the time and capturing users’ preferences, interests, needs, and even things they don’t like.
With all this information, the assistant will then tailor its responses to each user, engaging in conversations “that feel noticeably more relevant and useful.”
Unlike previous versions where users had to specifically request that information be remembered, the system now does this automatically.
If you want to change what ChatGPT knows about you, simply ask in the chat through a prompt.
Why it matters: This feature is a game changer for active users who hate switching between chats or constantly repeating themselves. ChatGPT's extended memory is a start to an exciting future where AI systems genuinely get to know you over time, becoming increasingly personalized and useful.
Privacy note: Users can opt out of the memory feature via ChatGPT's settings or use temporary chat mode for conversations they don't want remembered.
TOGETHER WITH INNOVATING WITH AI
💼 Start your career as an AI Consultant
The Rundown: Innovating with AI’s new program, AI Consultancy Project, equips AI enthusiasts with all the resources to capitalize on the rapidly growing AI consulting market – which is set to 8x to $54.7B by 2032.
The program offers:
Tools and framework to find clients and deliver top-notch services
A 6-month roadmap to build a 6-figure AI consulting business
Student landing their first AI client in as little as 3 days
Click here to request early access to The AI Consultancy Project.
THINKING MACHINES LAB
💰 Mira Murati’s AI startup eyes record funding
Image source: Getty Images
The Rundown: Former OpenAI CTO Mira Murati’s Thinking Machines Lab, an AI startup led by several OpenAI veterans, is reportedly pursuing one of the largest seed funding rounds in history.
The details:
Fresh out of stealth with nearly half of the founding team from OpenAI, Thinking Machines Lab is in talks to raise $2B at a valuation of “at least” $10B.
The value of the round is double what Murati was initially targeting, though details can change as the round is still said to be in progress.
Murati launched the AI startup six months after leaving OpenAI, where she spent nearly seven years working on AI systems, including ChatGPT.
While much remains under the wraps, the direction of Thinking Machines is towards “widely understood, customizable, and generally capable” AI systems.
Why it matters: With Thinking Machines Lab’s record-setting raise and Ilya Sutskever’s SSI also reportedly raising at a $30B valuation, the AI funding frenzy continues to reach new heights. What’s striking, though, is that both these startups are pulling massive investments without a public product or revenue roadmap.
AI TRAINING
📝 Turn YouTube videos into high-ranking blogs
The Rundown: In this tutorial, you’ll learn how to use NotebookLM to turn YouTube video content into SEO-optimized blog posts by analyzing transcripts and generating structured, search engine-targeted content.
Step-by-step:
Create a notebook in NotebookLM and add your YouTube video transcript as a source via YouTube link or pasted text.
Prepare your SEO strategy by identifying primary and secondary keywords (e.g., for AI automation: "AI workflow tools," "business process automation").
Craft a detailed prompt including your keywords and desired structure, then generate your content.
Enhance your post with images, links, formatting, and a compelling call-to-action before publishing.
Pro tip: For technical topics, include a glossary section defining complex terms to improve search visibility for beginners searching for explanations of these concepts.
PRESENTED BY IMAGINE AI LIVE
⏰ AI’s future won’t wait — will you keep up?
The Rundown: IMAGINE AI LIVE '25 isn’t just another event— it’s your ticket to leapfrog competitors who are still scrambling to understand AI's potential. Join industry pioneers at the Fontainebleau Las Vegas and get practical strategies to implement AI that drives immediate results.
Attend on May 28-30 at the Fontainebleau Las Vegas and you can:
Accelerate your AI journey by years, not months
Connect with cross-industry innovators who've already solved your challenges
Transform theoretical AI knowledge into actionable implementation roadmaps
Secure Your Competitive Edge with code AIDOESNTWAIT15 and save 15% if you register by today!
MICROSOFT RESEARCH
🤖 Study: AI still struggles with software debugging
Image source: Microsoft Research
The Rundown: Microsoft Research published a study revealing that AI agents—even those powered by the most advanced models available—still struggle with most software debugging tasks that human programmers routinely solve.
The details:
Microsoft used nine LLMs, including Claude 3.7 Sonnet, to power a “single prompt-based agent” tasked with 300 debugging issues from SWE-bench Lite.
In the test, the agent struggled to complete half of the assigned tasks, even when using frontier models that excel at coding as its backbone.
With debugging tools, 3.7 Sonnet performed best, solving 48.4% of issues, followed by OpenAI’s o1 and o3-mini with a 30.2% and 22.1% success rate.
The team found that the performance gap is due to a lack of sequential decision-making data (human debugging traces) in the LLMs’ training corpus.
Why it matters: As investors and executives from companies like Google and Meta continue pouring billions into AI coding agents, this study serves as a reality check of the current state. Despite impressive progress in code generation, AI still falls significantly short in debugging, one of programming's most crucial skills.
QUICK HITS
🛠️ Trending AI Tools
🧠 Gemini 2.5 Flash - Google’s new faster and cheaper reasoning model
🤖 Kimi-VL - Moonshot’s 3B-parameter VLM matching 10x larger models
🎥 Pika Twists - Manipulate objects or characters in footage while keeping the scene intact
💬 askplexbot - Perplexity’s new Telegram channel, allowing users to interact with or bring the chatbot into group chats
📰 Everything else in AI today
Ilya Sutskever's Safe Superintelligence (SSI) partnered with Google Cloud to use the company's TPU chips to power its research and development efforts.
Google CEO Sundar Pichai confirmed that the company will adopt Anthropic’s open Model Context Protocol to let its models connect to diverse data sources and apps.
Canva introduced Visual Suite 2.0, several AI features, and a voice-enabled AI creative partner that generates editable content at Canva Create 2025.
OpenAI countersued Elon Musk, citing a pattern of harassment and asking a federal judge to stop him from any “further unlawful and unfair action.”
OpenAI also open-sourced BrowseComp, a benchmark that measures the ability of AI agents to locate hard-to-find information on the internet.
TikTok parent ByteDance announced Seed-Thinking-v1.5, a 200B reasoning model—with 20B active parameters—that beats DeepSeek R1.
Elon Musk’s AI startup, xAI, made its flagship Grok-3 model available via API, with pricing starting at $3 and $15 per million input and output tokens.
AI company Writer launched AI HQ, an end-to-end platform for building, activating, and supervising AI agents in the enterprise.
COMMUNITY
🎥 Join our next live workshop
Join our next workshop this Friday at 4 PM EST with Dr. Alvaro Cintas, The Rundown’s AI professor. By the end of the workshop, you’ll have your own AI assistant that speeds up your workflow and helps you get more done, with less manual effort.
RSVP here. Not a member? Join The Rundown University on a 14-day free trial.
See you soon,
Rowan, Joey, Zach, Alvaro, Jason, and Shubham —The Rundown’s editorial team
Stay Ahead on AI.
Join 1,000,000+ readers getting bite-size AI news updates straight to their inbox every morning with The Rundown AI newsletter. It's 100% free.