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Today:

• Oz by Warp: Build, Automate, and Code While You Sleep

• OpenAI Forecasts $112 Billion Cash Burn by 2030

• Anthropic Institutes OAuth Ban to Block Third-Party Token Access

• OpenAI's "Stargate" Supercomputer Project Stalls Amid Compute Scramble

• Apple Plans AI Wearables and Low-End MacBook for March 4 Launch

• Hollywood's MPA Accuses ByteDance's Seedance 2.0 of Systemic Copyright Infringement

How to Build ANYTHING with Oz by Warp

Oz is a cloud coding platform from Warp that lets developers run AI helpers at once in workspaces. These helpers can be scheduled to work while your computer is off, steered mid-task, and share code across repos. Users write reusable “skills” — simple instruction files — so helpers can log into sites, browse pages, scrape data, or transcribe videos without repeating prompts. 

A demo project called AI Pulse shows the power: one helper builds a news back-end, another builds a dashboard, and others fetch stories, draft tweets, and clean data, sending alerts through Twilio. With cloud resources, machines stay fast.

WATCH THE VIDEO ON YOUTUBE

OpenAI’s $112 Billion Burn Rate (Yes, with a ‘B’) 

We all know that training the world’s most advanced AI models isn't exactly cheap, but OpenAI’s latest financial forecasts are on another planet. According to recent reports, the company is radically boosting its long-term revenue projections (aiming for over $280 billion eventually), but the real kicker is what it’s going to cost them to get there. OpenAI is predicting a staggering $112 billion in cash burn between now and 2030.

Think about that for a second. That is nation-state level spending just to cover the surging costs of compute and technical talent. While they're on track to pull in around $13 billion in revenue in 2025—thanks to tens of millions of paying ChatGPT subscribers—they aren't expecting to actually turn cash-flow positive until the end of the decade. It’s the ultimate high-stakes gamble: spend an unprecedented, historical fortune today to completely own the cognitive infrastructure of tomorrow.

The Compute Scramble and the "Stargate" Stall 

Speaking of spending fortunes on compute, how is OpenAI actually planning to build all that physical infrastructure? Well, it hasn't been entirely smooth sailing. You might remember hearing whispers about "Stargate"—the incredibly ambitious, multi-billion-dollar supercomputer project OpenAI was banking on to secure their future computing dominance.

It turns out, the scramble to secure that hardware has hit some major speed bumps. Word is that the Stargate project has stalled out. Between massive supply chain hurdles, physical infrastructure limits, and trade tariffs complicating the hardware logistics, getting it off the ground has proven incredibly difficult. It’s a fascinating reminder of the physical bottlenecks of AI. We talk so much about algorithms, agents, and data, but at the end of the day, you still need the silicon, the data centers, and the power grids to make the magic happen.

Anthropic Shuts the Door on the Token "Buffet" 

Finally, a bit of developer drama that perfectly highlights the tricky economics of AI subscriptions. If you’re a developer using Anthropic’s Claude, you might have noticed some chaos in the community this week regarding an OAuth ban.

Here is what happened: Anthropic offers a $200/month "Claude Max" tier meant specifically for their official Claude Code app, giving users practically unlimited token usage. Naturally, clever developers realized they could rip the OAuth authentication tokens from this subscription and plug them into third-party, open-source coding agents (like OpenCode). They were essentially getting thousands of dollars worth of API usage for a flat 200 bucks. Some even set up automated "agent" scripts that looped continuously overnight, chewing through millions of tokens while they slept.

Anthropic finally dropped the hammer, instituting a ban that locks those credentials strictly to their official app and breaks the third-party integrations. It’s a classic cat-and-mouse game between platforms trying to survive their own infrastructure costs and developers looking for a clever (and cheap) workaround.

🧠RESEARCH

Unified Latents (UL): How to train your latents

Researchers developed a new method to train artificial intelligence image generators using less computing power. By improving how the AI compresses and processes data—linking its internal memory directly to its image-creation steps—the system learns more efficiently, producing high-quality images while saving significant energy and time.

Learning Personalized Agents from Human Feedback

AI assistants often struggle to adapt when a user’s habits change over time. A new framework solves this by giving the AI an explicit, updateable memory. The AI asks clarifying questions before acting and learns from user feedback afterward, allowing it to quickly adjust to your evolving personal preferences.

Intelligent AI Delegation

As artificial intelligence handles harder tasks, it must break them down and assign them to other AI or humans safely. This new framework moves beyond simple task-splitting by defining clear rules for transferring authority, tracking responsibility, and building trust, ensuring complex projects are completed reliably and without dangerous errors.

📲SOCIAL MEDIA

🗞️MORE NEWS

Apple’s AI Wearables Apple is speeding up the development of three new wearable gadgets equipped with artificial intelligence: smart glasses, camera-equipped AirPods, and a pin attached to clothing. The company is expected to reveal more details at a product launch event on March 4, where they will also likely announce a new, low-cost MacBook laptop. These wearables will feature built-in cameras and microphones to help a smarter voice assistant understand and interact with the user's surroundings.

Hollywood vs. ByteDance The Motion Picture Association, representing major Hollywood studios, has demanded that TikTok's parent company ByteDance shut down its new video-generating tool. The studios claim the tool was built using stolen movies and characters, resulting in widespread copyright violations that threaten the entertainment business. ByteDance has promised to add stronger rules to prevent users from creating unauthorized videos featuring famous actors and protected creative works.

Sarvam’s Indus App Indian technology startup Sarvam has officially launched Indus, a new artificial intelligence chat application designed specifically for users in India. The app runs on a massive custom-built system designed to understand and generate text or spoken audio in 22 local languages. This release positions Sarvam to compete directly with global giants like OpenAI and Google in India's rapidly growing technology market.

Samsung and Perplexity Samsung is building the Perplexity artificial intelligence search engine directly into its upcoming Galaxy S26 smartphones. Perplexity will work alongside Samsung's existing Bixby voice assistant, allowing the phone to smoothly handle complex research tasks across multiple applications at once. This partnership reduces Samsung's reliance on Google's search technology and aims to make controlling the phone with voice commands much more natural.

AI Romance Novels A romance author using the pen name Coral Hart has sparked controversy by using artificial intelligence to write and publish over 200 books in a single year. By relying on a chatbot to write the actual text, she can produce a full novel in just 45 minutes and has earned hundreds of thousands of dollars in sales. Human authors are deeply concerned that this flood of machine-generated content will overwhelm online bookstores and threaten their ability to make a living.

Thermodynamic Computing Scientists are developing "thermodynamic computers," which are machines that use natural physical processes like the random movement of heat to solve problems. This new approach could eventually allow systems to generate artificial intelligence images using billions of times less electricity than current digital computers require. While the technology is still an early prototype, it offers a promising solution to the massive environmental footprint of modern artificial intelligence.