Stay Ahead on AI.

Good morning, robotics enthusiasts. UC Berkeley just unveiled a fully open-source humanoid that can be built with 3D-printed parts for as little as $5K.

It walks, writes, and learns tasks through AI-driven reinforcement learning. With projects like these gaining momentum, the open-source humanoid movement is picking up speed. The question is: Are you ready to build your own DIY humanoid?

In today’s robotics rundown:

UC Berkeley’s open-source humanoid
Hugging Face’s 3D-printed robot arm
Researchers make a robot cake you can eat
Sewer inspection drones do the dirty work
Quick hits on other robotics news

LATEST DEVELOPMENTS

UC BERKELEY

🦄 UC Berkeley’s open-source humanoid

Image source: University of California, Berkeley

The Rundown: Researchers at UC Berkeley just introduced Berkeley Humanoid Lite, a lightweight humanoid version of its research-geared open-source bot that can be built at home with 3D printed parts for less than $5K.

The details:

Berkeley Humanoid Lite can walk, solve a Rubik’s Cube, write with a marker, and perform real-world tasks using AI-driven reinforcement learning.
It weighs 16 kg, stands nearly 3 feet tall, and features modular, 3D-printed cycloidal gearboxes for its actuators and frame.
An onboard 6S 4000 mAh LiPo battery powers the robot for about 30 minutes, with optional tethering also available for extended sessions.
The whole design leverages widely available electronic and mechanical parts, making it easy for researchers and hobbyists to build, modify, and repair.

Why it matters: All hardware designs, code, and frameworks for the humanoid are fully open-source, and the researchers have even opened their WhatsApp communities for collaboration and support, making DIY robotics more accessible than ever. They also report that in testing, the bot proved as durable as robots costing up to $100K.

HUGGING FACE

🦾 Hugging Face’s 3D-printed robot arm

Image source: Hugging Face

The Rundown: Open-source leader Hugging Face is ready to give you a hand—literally. The AI startup just introduced the SO-101, a 3D-printable, programmable robotic arm that performs basic tasks through reinforcement learning.

The details:

The SO-101 arm features six motors and can be equipped with cameras, enabling it to perform tasks like picking up and sorting objects.
Building on its predecessor, the SO-100, it uses a leader-follower system for intuitive teleoperation when handling different objects.
All instructions, 3D files, and part lists are openly available on GitHub, allowing anyone to build their own robotic arm at a starting cost of around $100.
The SO-101 is also compatible with NVIDIA Jetson AI and can be enhanced with mobile bases for greater autonomy, supporting robotics research.

Why it matters: This is a major step up from last year’s S0-100, which was Hugging Face’s first venture into open-source robotics. Since then, the startup has come a long way — acquiring Pollen Robotics and expanding its portfolio as it works to democratize robotics through a collaborative, open-source approach.

EPFL

🎂 Researchers make a robot cake you can eat

Image source: EPFL

The Rundown: Researchers from the École Polytechnique Fédérale de Lausanne (EPFL) and the Italian Institute of Technology created RoboCake—a fully edible, robotic wedding cake that also comes with edible batteries.

The details:

The cake, showcased at Expo 2025 Osaka, features two edible, pomegranate-flavored gummy bears that move via an internal pneumatic system.
The world’s first edible, rechargeable battery—made of vitamin B2, quercetin, activated carbon, and chocolate—powers LED candles on the cake.
The cake is part of the EU-funded RoboFood project, a four-year, 3.5M euro research project to create edible robots and robotic foods.
Another major edible robotic project is ELFO, which is developing edible electronic circuits and sensors for applications like food supply chain tracing.

Why it matters: Novelty aside, dible robots can have life-saving applications such as smart pills, ingestible sensors for noninvasive diagnosis, and wildlife preservation (imagine robots delivering medicines to dangerous animals). Plus, it’s a big opportunity with the global edible soft robotics market projected to reach $49.2B by 2029.

FLYBOTIX

🚿 Sewer inspection drones do the dirty work

Image source: Flybotix

The Rundown: Back in 2016, a massive sinkhole opened in Fraser, Michigan, triggering the collapse of a major underground sewer line. In the aftermath, the region has become a leader in using drones and AI for inspecting aging sewer systems.

The details:

Wired reports that Macomb County, Michigan, is using Flybotix’s Asio X drone and SewerAI software, which can inspect up to 900 meters of pipe per day.
The drone features a protective cage, high-powered LED lights, and a 4K camera to capture footage inside pipes buried up to 60 feet underground.
The AI quickly analyzes the footage from the drone, automatically identifying defects such as cracks or blockages — and prioritizing repairs.
The total investment for the drone and AI system was about $100K, compared to the $1M previously spent every three years on manual inspection.

Why it matters: Inspecting old sewer systems is dangerous, dirty work, and drones make the process safer, faster, and more cost-effective. Atlanta and Detroit use drones equipped with LiDAR and 3D imaging to map aging sewer systems, while Houston has replaced 80% of manned inspections with drones, saving workers from gas exposure.

QUICK HITS

📰 Everything else in robotics today

China’s UBTech Robotics reportedly secured a buyer for a “small batch” of its humanoids to be deployed in manufacturing.

An alleged video of Unitree’s H1 humanoid exhibiting erratic behavior and nearly injuring two workers has gone viral.

Unitree also unveiled fire rescue robot dogs that can shoot water or foam with a range of 60 meters and a flow of 40 liters per second.

Near Space Labs nabbed $20M in Series B funding to expand deployment of its Swift robots for capturing high-res images in the stratosphere.

Montreal opened doors to Canada’s first and only hospital-based center dedicated to advancing surgical robots.

University of Houston researchers developed MyoStep, a next-gen soft exoskeleton designed to help children with cerebral palsy walk more easily and confidently.

Northeastern University researchers developed a novel algorithm, DFLIOM, that boosts mobile robot navigation by relying only on essential data points for 3D mapping.

Swiss researchers are developing LEVA, a multi-terrain autonomous delivery bot that can lift and drop off cargo boxes weighing up to 85 kg.

Trump’s tariffs were reportedly “top of mind” at last week’s Robotics Summits in Boston, with thousands of tech industry professionals attending.

The Netherlands-based Lely dairy farm robot milks cows when the cows choose to visit the bot for milking, while also handling feed and manure cleanup.

The UK’s National Health Service approved 11 cutting-edge robotic surgery systems for soft tissue and orthopedic procedures.

China unveiled a tube-shaped, two-pound grenade drone that allows a single soldier to control multiple units via AI targeting assistance.

British YouTuber James Bruton created a DIY unicycle robot that can balance and move forward and backward on one large wheel.

COMMUNITY

🎥 Join our next live workshop

Join our next workshop on Tuesday, May 6th at 3 PM EST with Chris Cunningham and Joe Zapiain from ClickUp. In this live session, you’ll learn how to embed AI and automation directly into your ClickUp workspace to save time, reduce complexity, and scale your team's execution, without adding headcount.

RSVP here. Not a member? Join The Rundown University on a 14-day free trial.

See you soon,

Rowan, Jennifer, and Joey—The Rundown’s editorial team

FutureHouse's superhuman science agents

Get more insights on how agents are redefining customer service.

Good morning, AI enthusiasts. Scientific research is about to hit new speeds, with FutureHouse releasing four superhuman AI agents that are said to outperform even PhD researchers.

With agentic research assistants about to crawl through millions of papers and datasets, a giant wave of AI-driven scientific breakthroughs is getting closer and closer.

In today’s AI rundown:

FutureHouse’s ‘superintelligent’ science agents
Apple, Anthropic partner on coding platform
Create interactive crosswords from your lessons
Google tackles AI's energy, workforce shortages
4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

FUTUREHOUSE

🧪 FutureHouse’s ‘superintelligent’ science agents

Image source: FutureHouse

The Rundown: Eric Schmidt-backed FutureHouse launched a new suite of specialized AI research agents designed for scientific discovery, aiming to tackle the information bottleneck researchers face when navigating millions of papers and databases.

The details:

The platform offers four specialized agents, Crow, Falcon, Owl, and Phoenix — all immediately accessible via web or API.
Crow handles general research, Falcon conducts deep literature reviews, Owl IDs previous research, and Phoenix specializes in chemistry workflows.
FutureHouse said the agents reach superhuman levels in literature search and synthesis, beating out both PhD researchers and top traditional search models.
The agents can access specialized scientific databases and have transparent reasoning, allowing researchers to track how they arrive at a conclusion.

Why it matters: Plenty of labs are pursuing similar goals, but unlike FutureHouse, only a few have a product already available. The AI science wave is coming, and the ability to synthesize vast amounts of data and reason through libraries of research will soon be embedded into every scientific workflow.

TOGETHER WITH SALESFORCE

🧠 Lessons from 500,000 Agentforce customer conversations

The Rundown: Salesforce added Agentforce to its Help site in October 2024, giving customers 24/7 AI-powered support. Just 6 months later, AI agents have handled 500,000+ customer conversations with efficiency and empathy.

Takeaways from this implementation include:

Support teams now have more time to focus on high-touch customer engagements
AI agent implementation requires time to find the right mix of agent vs. human support
The most effective future involves humans and AI working together for customer success

APPLE & ANTHROPIC

🤝 Apple, Anthropic partner on coding platform

Image source: o3 / The Rundown

The Rundown: Apple is reportedly partnering with AI startup Anthropic to develop a new AI-powered ‘vibe-coding’ platform that will automate writing, editing, and testing code within Apple’s Xcode software, according to a new report from Bloomberg.

The details:

Apple’s revamped Xcode will incorporate Anthropic's Claude Sonnet model, with plans to initially test the system internally before a public release.
The "vibe-coding" tool will feature a conversational interface, allowing programmers to easily request, modify, and troubleshoot code.
Apple is expected to further diversify its external AI integrations by adding Google's Gemini later this year, alongside an existing partnership with OpenAI.

Why it matters: Despite Apple typically favoring in-house development, the Apple Intelligence debacle may have the tech giant branching out to industry leaders to play catch-up. Apple’s massive user base likely doesn’t care whether the company has its own SOTA model — they just need an actual functioning product across the ecosystem.

AI TRAINING

🧩 Create interactive crosswords from your lessons

The Rundown: In this tutorial, you will learn how to turn any lesson material into engaging crossword puzzles by combining NotebookLM's AI analysis with CrosswordLabs' puzzle generator.

Step-by-step:

Visit NotebookLM and click "Create new" to start a fresh notebook for your lesson materials.
Upload your content by clicking “Add” in the Sources section: PDFs, documents, and audio files all work great.
Use the prompt “Create [number] clues for a crossword in the following style. Do not add any bullets or formatting: Dog man’s best friend…” in the chat section.
Copy the generated word-clue pairs and paste them directly into CrosswordLabs to automatically build your puzzle.

Pro tip: For vocabulary-heavy subjects, create separate crosswords for different units, then combine key terms from each into a comprehensive review puzzle.

PRESENTED BY TAVUS

🗣️ AI that speaks — and shows up

The Rundown: A Tavus avatar appeared in a NY courtroom, sparking a national debate — and showcasing a groundbreaking future where AI doesn't just speak, but visually represents and communicates effectively at scale.

With Tavus, you can:

Build real-time video agents and generate realistic videos instantly via simple APIs
Create agents with 30+ languages, natural expressions, and tool-calling capabilities
Deploy versatile video agents anywhere human interaction occurs

Start building video agents today.

GOOGLE

⚡️ Google tackles AI's energy, workforce shortages

Image source: o3 / The Rundown

The Rundown: Google just released a new policy roadmap addressing America's power infrastructure challenges, while also announcing a major initiative to train 130K electrical workers needed to support the AI boom.

The details:

Google’s “Powering a New Era of American Innovation” outlines 15 proposals focused on energy generation, grid modernization, and labor development.
The company is also funding the Electrical Training Alliance to modernize electrician training with AI, targeting a 70% boost in the workforce by 2030.
The program will upskill 100K existing electrical workers and create 30K new apprenticeships to address the growing gap in qualified workers.
The initiative expands on Google's AI Opportunity Fund commitment to train 1M Americans in AI skills, now including crucial infrastructure roles.

Why it matters: With AI driving massive power demands, the U.S. faces an electricity challenge on two fronts — modernizing its own grid while also finding and training enough skilled workers to build and maintain it. With China also investing heavily in energy, the fuel of the AI race will be just as important as chips or training techniques.

QUICK HITS

🛠️ Trending AI Tools

🔌 Integrations - Connect external apps and tools to Claude
🧠 Phi-4 - Microsoft’s latest family of small, reasoning-focused models
🤖 Nova Premier - Amazon’s new multimodal ‘teacher’ model for fine-tuning
🌌 Midjourney Omni Reference - Use objects/characters from prompt images

💼 AI Job Opportunities

🤝 The Rundown - Partnerships Manager
🔍 Findem - Manager, Search Optimization
🎧 Meta - Experience Prototyper, Audio
🤖 Sanctuary AI - Field Service Technician

📰 Everything else in AI today

Google’s Gemini 2.5 Pro completed Pokémon Blue, with an independent engineer streaming the game after noting the (still unsuccessful) Claude Plays Pokémon.

Anthropic is reportedly offering to buy back employee shares at a $61.5B valuation, allowing current and former staff to sell up to 20% of their equity for up to $2M each.

U.S. AI czar David Sacks projects that AI will undergo a 1,000,000x increase over the next four years, driven by exponential growth of algorithms, chips, and compute.

Google is reportedly rolling out access to Gemini for children under 13, which will include safety guardrails and only be available for Family Link supervised accounts.

Google DeepMind’s Nikolay Savinov said that 10M+ token context windows are coming “reasonably soon,” which will create unrivaled and superhuman coding tools.

Zoom researchers published “Chain of Draft,” a new AI prompting strategy that achieves similar accuracy to the popular Chain-of-Thought using just 7% of the tokens.

COMMUNITY

🎥 Join our next live workshop

Join our next workshop on Tuesday, May 6th, at 3 PM EST with Chris Cunningham and Joe Zapiain from ClickUp. In this live session, you’ll learn how to embed AI and automation directly into your ClickUp workspace to save time, reduce complexity, and scale your team's execution — without adding headcount.

RSVP here. Not a member? Join The Rundown University on a 14-day free trial.

🤝 Share The Rundown, get rewards

We’ll always keep this newsletter 100% free. To support our work, consider sharing The Rundown with your friends, and we’ll send you more free goodies.

See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team

Exclusive: UiPath launches next-gen platform for 'Agentic Automation'

Good morning, AI enthusiasts. The software world just got a major agentic upgrade with enterprise automation leader UiPath’s latest announcement.

The company unveiled a new platform for agentic automation that expands the role of digital workers beyond routine tasks — and towards intelligent AI agents that can reason, adapt, and collaborate in more human-like ways.

So, we managed to get together with the company's founder and CEO, Daniel Dines, for an exclusive Q&A on how this innovation could transform the future of work!

In today’s AI rundown:

A new era of agentic automation
UiPath’s Maestro for seamless orchestration
An open, multi-agent ecosystem
Agentic workflows that businesses trust
Unlocking human potential with AI

EXCLUSIVE Q&A DANIEL DINES

ANNOUNCEMENT

🤖 UiPath’s new era of agentic automation

Image credits: Kiki Wu / The Rundown

The Rundown: UiPath, a global leader in agentic automation, just launched its new platform for ‘agentic automation’ designed to orchestrate AI agents, robots, and humans on a single intelligent system to autonomously manage complex tasks across enterprise environments.

Cheung: “Your company was founded on what’s called robotic process automation software, or RPA, but is now AI‑first—how do you define ‘agentic automation’?”

Dines: "Our mission has always been to empower people to free themselves of boring, mundane tasks and instead focus on meaningful work. And today, with the emergence of agentic AI, we can now emulate the human mind and capacity for decision making, ‘agentifying’ robots to automate more complex work.”

Dines added: “Agentic automation combines RPA, AI models, and human expertise into cohesive workflows where all three work together to understand, improve, and automate all kinds of workflows, which drives enterprise efficiency.”

Why it matters: Enterprise automation is no longer just about scripted workflows—it’s about intelligent, adaptive systems that can think, plan, and act. By enabling intelligent collaboration between AI, robots, and people, UiPath’s platform unlocks a new realm of possibilities, accelerating decision-making and driving productivity gains.

ORCHESTRATION

🎼 UiPath’s Maestro for seamless orchestration

Image credits: Kiki Wu / The Rundown

The Rundown: At the core of this evolution is Maestro, which coordinates AI agents, robots, and humans across business processes — turning static workflows into dynamic streams of events that can adapt to changing conditions in real-time.

Cheung: “UiPath has gone through a major transformation, re-platforming your workflow engine to support agentic automation. Can you break down some of those architectural changes in real-world terms?”

Dines: “To put simply, rather than treating workflows as rigid sequences of steps, we now treat them as streams of events. Every action and decision are recorded immutably, like a real-time system log that’s also the source of truth.”

Dines added: “Maestro is the heart of our new platform—automating, modeling, and optimizing complex business processes end-to-end with built-in process intelligence and KPI monitoring to enable continuous optimization. It gives businesses the control and visibility they need to scale AI safely across teams, systems, and the enterprise.”

Why it matters: Maestro dynamically assigns goals, adapts plans in real-time based on changing conditions, and maintains continuous feedback loops between agents and the environment. It enables automation that is resilient, context-aware, and capable of operating with minimal human intervention.

ECOSYSTEM & PARTNERSHIPS

🌎 UiPath’s open, multi-agent ecosystem

Image credits: Kiki Wu / The Rundown

The Rundown: Unlike closed competitors, UiPath designed its platform as an open ecosystem that integrates with leading agent frameworks like LangChain, CrewAI and Microsoft — avoiding vendor lock-in while connecting existing tech stacks.

Cheung: "How does UiPath’s open-framework strategy benefit enterprise customers?"

Dines: "The average enterprise relies on more than 175 different applications and systems. To scale AI enterprise-wide, businesses need it to work with their existing solutions and workflows. We like to say that where other companies are building walls around their AI, we’re building bridges.”

Dines added: "Our customers can use AI agents from UiPath, or AI solutions from partners like LangChain or Microsoft. In either scenario, agents can collaborate across systems to manage complex workflows, drive productivity, and ultimately accelerate innovation."

Why it matters: By integrating with leading frameworks, UiPath ensures its platform is not a closed box but a flexible hub. Its collaborative, cross-platform approach accelerates automation adoption, unlocks new use cases, and ensures enterprises can leverage best-in-class AI capabilities wherever they reside.

DATA PRIVACY & TRAINING

🔐 Building agentic workflows that businesses trust

Image credits: Kiki Wu / The Rundown

The Rundown: UiPath tackles enterprise AI's biggest adoption barrier—security—with a model where AI agents access data only through rule-based robots, never receiving direct passwords, while an AI Trust Layer automatically masks sensitive information.

Cheung: "With AI models often requiring access to sensitive or proprietary data, what steps does UiPath take to ensure privacy and protections for enterprise customers?”

Dines: “UiPath robots provide the best method to ensure controlled data access for AI agents because they are rules-based and retrieve only the data required by the automation.”

Dines added: "Through our platform, agents won’t be given passwords or API tokens; they’ll access enterprise data exclusively via robots. We’ve already implemented the best-in-class, secure way to give our robots access to enterprise systems.”

Dines added: “The UiPath AI Trust Layer includes administrative and usage controls at a granular level. Harmful content filtering is built into and enabled on all third-party models. We also offer personally identifiable information and sensitive data masking.”

Why it matters: Through a robust AI Trust Layer, the platform ensures that agent actions are explainable, auditable, and compliant with enterprise policies. Sensitive data is protected with access controls and secure context passing, while dynamic guardrails and risk management keep autonomous behavior within safe boundaries.

FUTUREPROOFING & EVOLUTION

🧠 Unlocking human potential with AI

Image credits: Kiki Wu / The Rundown

The Rundown: As AI models and chips become commoditized, UiPath is positioning itself at the higher-value orchestration layer, with over 5,500 developers already trained on its agentic platform to help workers collaborate with AI agents more meaningfully.

Cheung: “How do you see the role of employees evolving as automation and AI become more deeply integrated into business processes? What cultural challenges will enterprises face, and how is UiPath helping them prepare?”

Dines: “To prepare people for this new way of working, we offer a variety of training courses through UiPath Academy—already more than 5,500 Academy developer courses on agentic automation have been completed, and more than 450 partners have begun their agentic automation courses.”

Dines added: "I am incredibly confident that over the next year, enterprises will be able to unlock the power of AI agents through agentic automation—unleashing human potential, driving innovation, and transforming the ways we work and live for the better. We’re only just getting started.”

Why it matters: Dines says UiPath started in 2005 with the belief that people “deserve more rewarding work,” and today, that is possible. Agentic automation is set to redefine how we work, with people working synergistically with agents and robots to execute processes faster and more intelligently than ever before.

GO DEEPER

LIVECAST REPLAY

🎥 Watch the global reveal

If you want to learn more, you can watch the global reveal of the UiPath Platform for agentic automation here and tune in to hear from customers and partners at the UiPath DevCon virtual event on May 14.

AI benchmarking under fire

Click here to request access to The AI Consultancy Project.

Good morning, AI enthusiasts. Leaderboard prestige can make or break an AI model’s launch, but a new study claims the scoreboard might be stacked in favor of tech giants.

With allegations of private testing and biased experiments potentially distorting the results of a popular benchmarking platform, the AI evaluation game just got a lot hazier.

Reminder: Our next workshop is today at 4 PM EST — attend and learn how to use Google’s NotebookLM to improve your research, studying, and teaching! RSVP here.

In today’s AI rundown:

Study questions leading AI benchmark
Microsoft’s new small reasoning models
Create websites using ChatGPT o3 and Canvas
Amazon’s new Nova Premier teacher model
4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

AI BENCHMARKING

🎯 Study questions leading AI benchmark

Image source: Cohere Labs

The Rundown: A new study from researchers at Cohere Labs, MIT, Stanford, and other institutions claims that LMArena, the leading crowdsourced AI benchmark, gives unfair advantages to major tech companies, potentially distorting its widely-followed rankings.

The details:

The study claims providers like Meta, Google, and OpenAI privately test multiple model variants on the Arena to publish the best performers.
It also found that models from top labs were favored over small/open models in sampling, with Google and OpenAI receiving over 60% of all interactions.
Experiments showed that access to Arena data boosts performance on Arena-specific tasks, suggesting model overfitting rather than actual capability gains.
The researchers also noted that 205 models have been silently removed on the platform, with open-source models deprecated at a higher rate.

Why it matters: LMArena has disputed the study, claiming the leaderboard reflects genuine user preferences. However, these claims can damage the platform's credibility, which shapes how models are perceived. Combined with the Llama 4 Maverick benchmark debacle, this study highlights that AI evaluation isn't always as it seems.

TOGETHER WITH INNOVATING WITH AI

🚀 Launch a six‑figure AI consultancy in six months

The Rundown: Innovating With AI’s “The AI Consultancy Project” gives you the frameworks, playbooks, and client‑ready templates needed to turn “interesting AI ideas” into a revenue‑generating business – helping you ride the wave of an AI consulting boom expected to grow by 8x this decade.

In this program, you will:

Gain the tools and frameworks to find clients and deliver top-notch services
Follow a 6-month plan to build a 6-figure AI consulting business
Join a 700‑strong cohort where some members landed their first AI client in 72 hours

MICROSOFT

🧠 Microsoft’s new small reasoning models

Image source: Microsoft

The Rundown: Microsoft just launched three new reasoning-focused, open-weights models in its Phi family — which outperform larger rivals at complex reasoning tasks while being small enough to run on phones and laptops.

The details:

The flagship Phi-4-reasoning has just 14B parameters but outperforms OpenAI's o1-mini and matches DeepSeek's 671B model on key benchmarks.
A smaller 3.8B parameter version called Phi-4-mini-reasoning can run on mobile devices while matching larger 7B models on math benchmarks.
Designed for efficiency, the models aim to bring strong reasoning capabilities to constrained environments (like edge devices and Copilot+ PCs).
All three models are open-source with permissive licenses, allowing unrestricted commercial use and modification by developers.

Why it matters: Microsoft continues to raise the bar for its small but powerful Phi, with the latest launch bringing extremely capable reasoning to models sized to fit on phones and laptops. It’s still early days in truly bringing system-integrated AI to devices, but Microsoft’s Copilot+ PCs could be the biggest beneficiary of this reasoning boost.

AI TRAINING

🖥️ Create websites using ChatGPT o3 and Canvas

The Rundown: In this tutorial, you will learn how to create fully-functional web applications with database capabilities using ChatGPT o3 and Canvas, and then deploy them for free — no coding skills required.

Step-by-step:

Head over to ChatGPT, select the “o3” model, and activate the ‘Canvas’ option.
Prepare a detailed prompt describing your desired HTML web application, including purpose, features, design preferences, and functionality requirements.
Test your application using the "Preview" button and request any necessary modifications.
Save the code as an HTML file and deploy using Cloudflare by navigating to Workers & Pages, selecting "Create using direct upload," and uploading the file.

Pro tip: Applications with local storage will maintain user data between sessions even when deployed, making them perfect for small applications.

PRESENTED BY CONVEYOR

📈 Meet Sue, an AI agent that actually gets stuff done

The Rundown: Most vendors building with AI talk a big game. Sue, Conveyor’s AI Agent for Customer Trust, actually does the work — deploying across F1000 enterprises to fully run customer security reviews, skip busywork, and keep deals moving with no headaches or delays.

Sue, the AI Agent, can:

Manage customer security requests seamlessly across teams and tools
Handle any questionnaire format
Automatically complete, reject, or escalate questionnaires
Personalize your Trust Center with data from conversation intelligence tools

Learn more and integrate Sue into your infosec and sales workflow today.

AMAZON

🚀 Amazon’s new Nova Premier teacher model

Image source: Amazon

The Rundown: Amazon just launched Nova Premier, the company’s most advanced AI model yet — designed to both handle complex tasks and also act as a “teacher” to fine-tune smaller models to match its capabilities.

The details:

The multimodal model can process text, images, and videos with a 1M-token context window, allowing it to analyze about 750,000 words at once.
Internal testing shows Premier lagging behind top competitors like Gemini 2.5 Pro on math, science, and coding benchmarks.
Nova Premier excels at orchestrating multi-agent workflows, showing strength in financial analysis and investment research applications in testing.
Using Amazon's Bedrock Model Distillation, Premier can transfer capabilities to smaller models like Nova Pro and Micro and boost performance by up to 20%.

Why it matters: With Nova Premier, Amazon positions its top offering not as a direct rival for cutting-edge reasoning tasks but rather as a powerful teacher that can uplift the entire model family — suggesting a focus on optimizing performance and prioritizing efficient, task-specific deployments over a single powerhouse model.

QUICK HITS

🛠️ Trending AI Tools

🎥 Gen-4 References - Generate consistent characters and scenes in videos
🎨 Gemini App - New update with native AI image editing capabilities
🧠 MiMo-7B - Xiaomi’s small but powerful open-source reasoning model
📸 F-Lite - Freepik’s open-weights image generation model

💼 AI Job Opportunities

🛡️ Harvey - Technical Program Manager
⚖️ UiPath - Legal Intern
🤖 Siena - AI Engineer
📝 Meta - Content Strategist

📰 Everything else in AI today

Anthropic released Integrations, allowing Claude to connect with remote MCPs to integrate additional tools — alongside new research capabilities like web support.

NVIDIA criticized Anthropic’s AI chip export policy recommendations, arguing that U.S. firms should focus on innovation instead of limiting competitiveness with policy.

Google expanded its AI Mode in Search to all Labs users in the U.S., also introducing new visual shopping and local planning features.

Suno introduced v4.5 of its AI music generation platform, adding new genres, better prompting and adherence, the ability to create songs up to 8 minutes long, and more.

Microsoft is reportedly adding xAI’s Grok model to its Azure development platform, coming amid rumored tensions between CEO Satya Nadella and OpenAI’s Sam Altman.

Google launched Little Language Lessons, three new AI-powered experiments that use Gemini’s multilingual capabilities for personalized learning experiences.

COMMUNITY

🎥 Join our next live workshop

Join our next workshop today at 4 PM EST with Dr. Alvaro Cintas, The Rundown’s AI professor. By the end of the workshop, you’ll confidently be able to use Google NotebookLM to improve your research, studying, and teaching.

RSVP here. Not a member? Join The Rundown University on a 14-day free trial.

🤝 Share The Rundown, get rewards

We’ll always keep this newsletter 100% free. To support our work, consider sharing The Rundown with your friends, and we’ll send you more free goodies.

See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team

Robotics

Figure robots may land a new gig—with UPS

Good morning, robotics enthusiasts. U.S. robotics startup Figure is reportedly in advanced talks with UPS to put its newest humanoids in shipping and logistics.

Agility’s Digit is already being tested by Amazon, while Tesla’s Optimus also aims for high-stakes logistics jobs. But working in real-world warehouses is a far cry from controlled demos. Is Figure game-ready?

In today’s robotics rundown:

Figure may deploy humanoids with UPS
Bots make burgers at new fast-food concept
Humanoid market to hit $5T by 2050
Roombas repurposed as home assistants
Quick hits on other robotics news

LATEST DEVELOPMENTS

FIGURE

📦 Figure may deploy humanoids with UPS

Image source: Figure AI

The Rundown: Robotics startup Figure is reportedly in advanced talks with UPS to deploy its latest humanoids across UPS’s logistics network, although the specific roles the robots would take on remain unclear at this stage.

The details:

The potential partnership will complement UPS’s existing use of robotic arms, AI-driven software, and partnership with other robotics startups like Dexterity.
Both UPS and Figure declined to comment on the specifics of the engagement, with UPS stating it does not discuss vendor relationships publicly.
In February, Figure released a 90-second video on X, showcasing its sleek humanoid sorting small packages alongside conveyor belts.
The company has also been working with BMW to test its Figure 02 robots, but some have questioned whether it has exaggerated the extent of the pilot.

Why it matters: Adcock targets shipping 100K robots by 2028—and partnerships with BMW and UPS could serve as crucial launchpads for getting its humanoids in real-world environments. Meanwhile, UPS is aggressively reducing its Amazon deliveries, slashing $3.5B in costs, and investing in automation and smart factories.

ABB ROBOTICS

🍔 Bots make burgers at new fast-food concept

Image source: ABB Robotics

The Rundown: ABB Robotics and BurgerBots have opened two new “fast-casual” locations in Los Gatos, California, where ABB’s IRB 360 FlexPicker and YuMi robot work together to assemble made-to-order $18 burgers in 27 seconds flat.

The details:

The process begins with a human-cooked patty placed on a bun in a box, which is then QR-coded and sent along a conveyor for robotic assembly.
The IRB 360 FlexPicker reads the QR code to customize each burger, precisely dispensing toppings and condiments according to the order.
YuMi completes the burger by assembling the final layers and closing the box, with the entire process taking just 27 seconds per burger.
ABB’s robot controller monitors real-time inventory of ingredients, ensuring stock control and uninterrupted service.

Why it matters: This first-of-its-kind setup seamlessly combines two robot types and intelligent inventory tracking in a compact, customer-facing cell. The concept is designed for scalability, with BurgerBots’ founder and ABB executives predicting that robotic automation will become standard in restaurants within the next five years.

MORGAN STANLEY

🤖 Humanoid market to hit $5T by 2050

Image source: Ideogram/The Rundown

The Rundown: Morgan Stanley projects the global humanoid market will reach $4.7–5T in annual revenue by 2050, driven by industrial and commercial adoption, with China dominating supply chains and Tesla emerging as a key integrator.

The details:

Morgan Stanley analysts estimate that 1B humanoid robots could be deployed globally by mid-century, with 13–14M coming into use by 2035.
The rise of robots will also hit jobs, with machines potentially replacing 62.7M roles by 2050, starting with 40K roles by 2030.
Tesla’s Optimus robot is central to the forecast, with the company planning to produce 10K–12K units in 2025 and scale up to 50K by 2026.
Chinese firms are also advancing cost-efficient components and AI integration, with government initiatives aiming for 59M humanoids domestically by 2050.

Why it matters: The race for humanoid dominance is accelerating, with China controlling 63% of the global supply chain. As governments and corporations invest heavily, the sector is poised to reshape global manufacturing, logistics, and service industries, marking what analysts describe as the “next industrial revolution.”

UNIVERSITY OF BATH

🧹 Roombas repurposed as home assistants

Image source: The University of Bath

The Rundown: Scientists at the University of Bath just developed a framework to repurpose Roomba home vacuums to perform other household tasks, like watering plants with robotic arms and playing with pets with laser pointers.

The details:

Researchers retrained a Roomba to perform four new tasks: charging a mobile, projecting workout videos, home monitoring, and providing status alerts.
The work identified more than 100 potential applications that could be unlocked with simple hardware add-ons, like projectors or carts.
Roombas sit idle for ~22 hours daily (used less than 2 hours/day)—leaving massive untapped potential to put them to work elsewhere.
Conducted with the University of Calgary, the study was presented at the CHI 2025 conference, emphasizing user-centered robotics.

Why it matters: The research suggests that a little ingenuity can transform a single-task robot into a full-fledged home assistant. Of course, AI upgrades are needed for home vacuums to take on more complex environments, but the surging $24.5B home robotics sector should give manufacturers an incentive to think outside the box.

QUICK HITS

📰 Everything else in robotics today

Unitree live-streamed its G1 humanoid running 13km in two hours, averaging about 1.8m per second with two battery swaps.

Cornell University researchers developed a “robotability score” to rate every street in New York City on how adaptable it is to robots.

China’s Deep Robotics launched Lynx M20, a rugged version of its athletic robo-dog for industrial use, capable of rough terrain and extreme temperatures.

Starbucks is opening its first 3D-printed store in Texas, a drive-thru only location constructed by a computer-controlled robotic arm.

Glacier, a San Francisco-based AI and robotics startup backed by Amazon, raised $16M in Series A funding for its recyclable-material sorting robots.

China unveiled "Blue Whale," the world's first high-speed AI-equipped research vessel capable of staying up to 60 metres underwater autonomously for a month.

North Carolina State University engineers developed a soft robot that is powered by light and designed to travel along aerial cables for power line inspections.

COMMUNITY

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Join our next workshop this Friday, May 2nd, at 4 PM EST with Dr. Alvaro Cintas, The Rundown’s AI professor. By the end of the workshop, you’ll confidently be able to use Google NotebookLM to improve your research, studying, and teaching.

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Rowan, Jennifer, and Joey—The Rundown’s editorial team

Visa, Mastercard give AI credit cards

Try the updated Dash today.

Good morning, AI enthusiasts. The AI shopping revolution is here — and both Visa and MasterCard are laying the payment rails for the web’s agentic future.

With new platforms allowing agents to complete purchases on users’ behalf, the incoming AI commerce shift in retail is getting an essential upgrade.

In today’s AI rundown:

Visa, Mastercard give AI agents credit cards
GPT-4o rolled back after personality trouble
Build your AI consultancy prep assistant
DeepSeek's latest model masters math proofs
4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

VISA & MASTERCARD

🤖 Visa, Mastercard give AI agents credit cards

Image source: o3 / The Rundown

The Rundown: Visa just introduced Intelligent Commerce, enabling AI to shop and pay on consumers’ behalf through partnerships with Anthropic, OpenAI, and others, while Mastercard is releasing ‘Agent Pay’ to embed payments into AI conversations.

The details:

Intelligent Commerce uses AI-ready cards with tokenized credentials and user-set preferences to let AI agents find and buy items without exposing card data.
Consumers can set spending limits and conditions while sharing basic purchase data to help personalize shopping recommendations.
Mastercard’s ‘Agent Pay’ is a similar platform enabling easy payment experiences when interacting with AI agents to explore and shop products.
The news comes alongside ChatGPT Search’s shopping upgrades and other shopping-focused agentic efforts from Perplexity, Amazon, and others.

Why it matters: The next step in the evolution of e-commerce is looking more like AI commerce, with payment rails being laid by the legacy giants to let AI agents purchase items directly for users instead of just finding and recommending. While agents may not yet be as capable as many expected, their time is coming soon.

TOGETHER WITH FUEL iX

🗺️ Your roadmap to take AI hype to frontline success

The Rundown: AI moves fast — but implementing it effectively is the key to success. Join Fuel iX and guest Forrester for an insightful discussion on how enterprises can harness the power of GenAI copilots to drive innovation and productivity across their organization.

This exclusive session will explore:

The current landscape of GenAI and why enterprises need to act now
Practical strategies to overcome barriers in AI implementation
Real-world success stories of AI copilots transforming businesses

Watch on-demand now for expert insights on enterprise AI success.

OPENAI

⏮️ GPT-4o gets rolled back after personality backlash

Image source: o3 / The Rundown

The Rundown: OpenAI just announced the reversal of a controversial GPT-4o update that made the model excessively agreeable and flattering in any context, igniting an industry-wide debate about AI personality tuning.

The details:

Last week’s GPT-4o update aimed at improving personality inadvertently led to excessive sycophancy, with the AI validating even poor or harmful user ideas.
OpenAI identified the cause as over-optimizing on short-term user feedback (like thumbs-up signals) without fully considering long-term interaction quality.
OpenAI Head of Model Behavior Joanne Jang held an AMA on Reddit, providing insights on model training and plans for personality customization.
Jang said the company is working on both a default personality for all users and preset offerings that users could customize on their own.

Why it matters: With hundreds of millions of ChatGPT users and models plugged into everything from mental health support to business operations, the stakes are high for tuning a personality that influences the masses. While OpenAI was quick to fix this issue, the sycophancy was glaring and viral — what happens when it’s more subtle?

AI TRAINING

🔎 Build your AI consultancy prep assistant

The Rundown: In this tutorial, you will learn how to use Zapier Agents to create an automated consultant that researches clients before meetings and sends you a detailed brief, helping you deliver more insightful consultations.

Step-by-step:

Visit Zapier Agents, log in or create a free Zapier account, and click “Create New Agent.”
Add a name, select “Behavior”, set "Calendly: Invitee Created" as your trigger, and connect your Calendly account.
Add enhanced instructions: “Get client details from booking, research company challenges, compile insights, draft an email with summary and 3-5 strategic talking points.”
Add the “Gmail: Create Draft” action and test your consultant with the "Retest behavior" button.

Pro tip: For specialized consultations, modify your instructions to include industry-specific research points, competitor analysis, or market trends relevant to your expertise.

PRESENTED BY DROPBOX

⚡️ From search bar to final draft — fast

The Rundown: Dropbox Dash is an AI universal search and knowledge management offering that searches videos, images, docs, and even your teammates to surface answers and spin up first drafts in seconds — assembling content into ready‑to‑share deliverables quickly and securely.

With Dropbox Dash, you can:

Locate any file, clip, or screenshot with natural‑language video & image search
Craft AI‑generated briefs, summaries, and plans built from existing content
Leverage deep integrations with Slack, Teams, Jira, Zoom, Canva, and more
Protect company data via self‑hosted AI and admin‑level permission controls

DEEPSEEK

🎓 DeepSeek's latest model masters math proofs

Image source: o3 / The Rundown

The Rundown: Chinese AI lab DeepSeek just released Prover-V2, a specialized open-source model that combines informal math reasoning with formal theorem proving — achieving SOTA performance on complex math benchmarks.

The details:

The 671B parameter model achieves an 88.9% success rate on the MiniF2F test benchmark, setting new highs for automated theorem proving.
The system uses a "cold-start" approach that breaks down complex proofs into smaller subgoals using DeepSeek's V3 model before formal verification.
The team also introduced ProverBench, a new evaluation dataset with 325 problems, including AIME competition questions and undergraduate-level math.
The quiet open-source release comes shortly after Alibaba's Qwen3, and ahead of the highly anticipated DeepSeek-R2, expected in early May.

Why it matters: It may not be R2, but DeepSeek continues to quietly flex its abilities with yet another strong model release. It won’t be long before these models are solving problems once thought impossible — leading to superhuman math capabilities bringing new advances across areas like physics, drug discovery, and materials science.

QUICK HITS

🛠️ Trending AI Tools

🤖 Meta AI - Now available via a standalone app with enhanced personalization
🦙 Llama API - Free limited preview to build with Meta’s top models
🎧 Audio Overviews - Google’s AI deep dives, expanded to 50+ languages
✈️ Kayak AI - Plan trips and compare options with conversational AI

💼 AI Job Opportunities

📊 Waymo - Sr. Business Systems Analyst
🛠️ Writer - Data Engineer
💻 Captions - Software Engineer
🎯 OpenAI - Product Manager

📰 Everything else in AI today

NVIDIA CEO Jensen Huang said that China is ‘not behind’ in AI, saying companies like Huawei are very close in the “long-term, infinite race.”

Ex-OpenAI CTO Mira Murati’s Thinking Machines Lab is reportedly nearing a $2B raise, with Murati said to have unique control of the company’s board votes.

Runway launched Gen-4 References to paid plans, allowing users to use photos, images, 3D models, or selfies to place a character into any scene with consistency.

Microsoft CEO Satya Nadella said in an interview at LlamaCon that as much as 30% of the company’s code is now written by AI, with a 30-40% acceptance rate.

Chinese tech giant Xiaomi introduced MiMo, a small 7B parameter open-source reasoning model that matches much larger rivals like o1-mini on math and coding tasks.

Freepik and Fal released F-Lite, a new open-source, open-weights image generation model trained on 100% licensed data.

Duolingo launched 148 new language courses in the “largest expansion of content in the company’s history,” coming on the heels of its transition to an AI-first organization.

COMMUNITY

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Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team

Reddit uncovers secret AI persuasion experiment

Join the list and get early access.

Good morning, AI enthusiasts. Reddit users just discovered they were lab rats in an unauthorized AI experiment, with Zurich researchers deploying chatbots across the /ChangeMyMind subreddit that racked up thousands of upvotes.

With the bot responses proving 6x more persuasive than human comments and going completely undetected, it’s clear our online spaces have never been more vulnerable — and AI’s ability to shift public discourse is only getting stronger.

In today’s AI rundown:

Secret AI experiment on Reddit users
Meta’s new AI assistant, Llama API access
Add OpenAI's o4-mini model to your projects
AI reveals hidden cause of Alzheimer's
4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

REDDIT & UNIVERSITY OF ZURICH

🤖 Secret AI experiment on Reddit users

Image source: o3 / The Rundown

The Rundown: Reddit just revealed that researchers from the University of Zurich conducted an unauthorized AI experiment on its r/changemyview community, using chatbots that engaged in debates about sensitive topics to test persuasion capabilities.

The details:

The researchers deployed AI responses across more than 1,700 comments, with bots impersonating identities including trauma survivors and counselors.
A separate AI system was used to analyze users' posting histories to capture personal details like age, gender, and political views for targeted responses.
The experiment’s results, though not peer-reviewed, revealed that targeted AI responses were 6x more persuasive than the average human comment.
Reddit's Chief Legal Officer announced legal action against the researchers, calling the experiment "deeply wrong on both moral and legal levels."
The University of Zurich has also halted publication of the research results and launched an internal investigation.

Why it matters: Ethical violations aside, the fact that these AI-generated comments went both unnoticed and garnered major support shows how easily coordinated bots can influence public discourse. While social media already had this problem, AI is set to massively scale both the quality and quantity of sophisticated manipulation tactics.

TOGETHER WITH GAMMA

🎨 Say goodbye to boring presentations

The Rundown: Gamma’s AI-powered platform helps you build beautiful presentations, sleek websites, and captivating social media posts faster than ever — with no design skills, outdated PowerPoints, or complicated tools required.

Gamma makes it easy to:

Generate professional-quality presentations instantly from just a prompt
Transform boring proposals into visuals that clients actually read
Export and share your creations to Slides, PDFs, and more in just one click

Visit gamma.app to experience the tool that is creating 700,000 presentations daily.

🦙 Meta’s new AI assistant, Llama API access

Image source: Meta

The Rundown: Meta just made a series of AI announcements at its first LlamaCon developers event, including a standalone app for its Meta AI assistant with upgraded personalization, a new Llama API preview, and AI security tools.

The details:

The new app leverages Llama 4, learns user preferences, and accesses profile info (if permitted) to offer more personalized and context-aware responses.
It also emphasizes voice interaction alongside text input, image generation, and a social “Discover” feed for prompts.
Meta also released the Llama API as a limited free preview, allowing developers to build using the latest Llama 4 Scout and 4 Maverick models.
New security tools include Llama Guard 4 and LlamaFirewall, with a Defenders Program giving select partners access to AI-enabled security evaluation tools.
Mark Zuckerberg appeared on the Dwarkesh Podcast ahead of LlamaCon, hitting on topics including open source, Chinese competition, AGI, and more.

Why it matters: Llama’s over 1B downloads already show it’s a key cog in many users’ AI experiences, with a personalization factor from Meta’s data and app ecosystem that is hard to match. The new API brings a two-pronged approach to Llama — providing capable models for the masses and empowering builders to create with them.

AI TRAINING

🚀 Add OpenAI's o4-mini model to your projects

The Rundown: In this tutorial, you will learn how to use OpenAI’s o4-mini API to integrate powerful AI reasoning capabilities into your existing projects, with a low cost and a high throughput.

Step-by-step:

Obtain an API key from OpenAI’s platform by creating a new secret key in your account dashboard.
Set up your environment in Google Colab and install the OpenAI library with pip install openai.
Implement the API call by importing the OpenAI client, setting your API key, and creating a completion with the o4-mini model.
Customize the content prompt for your needs and create reusable functions to integrate the model's capabilities throughout your project workflow.

Pro tip: You can also reduce costs during development by testing with shorter outputs and fewer API calls before scaling up your implementation. Here is a starting template, just make sure to add your own API key.

PRESENTED BY SALESFORCE

⏰ The countdown is on for Dreamforce 2025

The Rundown: Dreamforce 2025 — the world’s largest, most trusted AI event — returns on Oct. 14 with three days of next-level innovation and real-world inspiration you can bring back to your business.

Here’s what you’ll experience:

AI agent building alongside product experts with Salesforce’s Agentforce
50+ visionary and product keynotes
1,200+ breakout sessions across every product, role, and industry
150+ hands-on trainings and 240+ peer roundtables

AI RESEARCH

🧠 AI reveals hidden cause of Alzheimer's

Image source: Zhong Lab

The Rundown: UC San Diego researchers just used AI to discover a surprising new cause of Alzheimer's disease, identifying a gene's previously unknown function — while also discovering a potential treatment that could be taken as a simple pill.

The details:

Scientists used AI imaging to discover that a common protein (PHGDH) has a hidden ability to interfere with brain cell functions.
This interference leads to early signs of Alzheimer's, something traditional lab methods had missed for years.
The team found that an existing compound, NCT-503, can stop the harmful protein behavior while allowing it to continue its normal functions in the body.
The compound showed promising results in mouse trials, with treated animals demonstrating improvements in both memory and anxiety-related symptoms.
Unlike existing infusion treatments, the new drug could be taken as a pill, and prevents damage before it occurs rather than trying to reverse it.

Why it matters: Uncovering a hidden role for a protein scientists have studied for decades shows just how much remains invisible to human eyes alone — with AI-guided advances set to fast-track both medical discovery and drug development for the world’s most complex disorders and diseases.

QUICK HITS

🛠️ Trending AI Tools

🤖 Qwen3 - Alibaba’s new open-weights model family with hybrid thinking
🔎 ChatGPT Search - Improved shopping UX, citations, and WhatsApp support
🎥 Ray2 Camera Concepts - Advanced camera control now available via API
🎬 Higgsfield Iconic Scenes - Re-create movie scenes using a single selfie

💼 AI Job Opportunities

🗂️ UiPath - Project Manager
🎉 Runway - Event Marketing Manager
🧠 Meta - AI Research Scientist
🤝 Glean - Business Development Representative

📰 Everything else in AI today

Elon Musk said Grok 3.5 launches next week to SuperGrok users, adding it’s the first to “accurately answer technical questions about rocket engines or electrochemistry.”

Sam Altman announced that OpenAI has officially rolled back GPT-4o following its personality issues, with broader fixes and findings being released later this week.

Mastercard introduced Agent Pay, a new agentic payments program that enables AI agents to securely complete purchases, with Microsoft as its first major partner.

Yelp is testing a series of new AI features, including an AI-powered service that allows restaurants to field phone calls using an AI voice agent.

The Trump administration may soon replace the Biden-era AI chip export control system, potentially moving to licensing deals with specific countries over broad tiers.

Google announced that its podcast-generating Audio Overviews feature is expanding to over 50 languages for easy creation of multilingual content.

COMMUNITY

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RSVP here. Not a member? Join The Rundown University on a 14-day free trial.

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Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team

Tech

Amazon blasts into space race