In partnership with
In Today’s Issue:
🧪 OpenAI debuts a free, LaTeX-native workspace powered by GPT-5.2
💰 Masayoshi Son is reportedly in talks for a colossal funding round that would value OpenAI at $830 billion
🦾 Figure Helix 02 replaces 100,000 lines of C++ code with a single neural network
🚀 Mark Gurman predicts the M6 chip could arrive by late 2026
✨ And more AI goodness…
Dear Readers,
Scientific writing is about to get a serious upgrade - OpenAI just launched Prism, a free LaTeX workspace powered by GPT-5.2 that could transform how researchers draft, collaborate, and publish their work.
But that's only the headline act in today's packed issue: SoftBank is reportedly eyeing another jaw-dropping $30 billion investment in OpenAI, potentially pushing the company's valuation to $830 billion.
Meanwhile, Figure's Helix 02 robot just completed a 61-action kitchen task with full autonomy, and whispers suggest Apple's M6 chip might arrive far sooner than anyone anticipated. We're also exploring Tencent's HunyuanImage 3.0—the world's largest open-source image model that actually reasons before it creates. Let's dive in.
All the best,
🚀 Apples M6 Chip Could Arrive Very Soon
Apple’s M5 only debuted three months ago, but Bloomberg’s Mark Gurman says the M6 might show up “sooner than people anticipate,” possibly in select configurations. The clue: Apple already proved it can move fast - there was just a five-month gap between M3 and M4, and the M4 even launched first in an iPad Pro (a major pattern break). The big mystery now is which device gets M6 first, especially since a redesigned OLED MacBook Pro is still expected later in 2026.
💰 SoftBank Eyes Another $30b Investment In OpenAI
SoftBank Group Corp is reportedly in talks to pour up to $30 billion more into OpenAI, as part of a colossal funding round that could raise $100 billion and value OpenAI at $830 billion. The move underscores CEO Masayoshi Son’s all-in AI strategy, following SoftBank’s recent $41 billion investment that secured an 11% stake. With AI costs surging and competition intensifying from rivals like Google, this bet signals how central OpenAI has become to the global AI race.
🤖 Helix 02 Unlocks Full-Body Autonomy: You have to watch this clip!
Figure has unveiled Helix 02, its most advanced humanoid system yet, enabling fully autonomous, room-scale tasks by controlling the entire robot—walking, balancing, and manipulating objects—through a single neural architecture. In a standout demo, the robot completed a 4-minute, end-to-end kitchen task with 61 actions, powered by over 1,000 hours of human motion data, tactile sensing, palm cameras, and a unified “pixels-to-torque” control stack. This marks a major leap toward general-purpose humanoid robots capable of human-like dexterity and long-horizon autonomy in real-world environments.
Our editor-in-chief Kim Isenberg was a guest on a German podcast again and talked about the future of AI. You can also watch the podcast with subtitles.
OpenAI Prism:
A Game-Changer for Scientific Writing
The Takeaway
👉 OpenAI launched Prism, a free LaTeX-based workspace powered by GPT-5.2 that integrates AI directly into scientific paper writing and collaboration
👉 The platform eliminates tool-switching by combining drafting, citation management, equation editing, and real-time collaboration in one cloud environment
👉 Key features include whiteboard-to-LaTeX conversion, voice editing, literature search via arXiv, and unlimited free collaborators — positioning it as a direct competitor to Overleaf
👉 This signals a broader industry trend toward vertical, profession-specific AI applications rather than general-purpose chatbots
The future of scientific publishing just got a serious upgrade. OpenAI has launched Prism, a completely free workspace that could fundamentally change how researchers write and collaborate on papers.
So what exactly is Prism? It's a cloud-based LaTeX platform powered by GPT-5.2 that combines writing, collaboration, citation management, and AI assistance all in one place.
Instead of juggling separate tools for editing, formatting equations, and managing references, scientists now have everything under one roof. The AI doesn't just sit on the sideline — GPT-5.2 works within the project itself, with access to the structure of the paper, equations, references, and surrounding context.
This marks a pivotal moment. Just as coding agents revolutionized software development in 2025, Prism could do the same for science. OpenAI hopes it does for science what coding agents like Claude Code did for programming.
Features like converting whiteboard sketches into LaTeX code, real-time collaboration with unlimited co-authors, and voice-based editing remove the friction that slows discovery. It shows that OpenAI continues to go full steam ahead towards scientific work - the next big thing!
Why it matters: Prism represents a strategic shift toward domain-specific AI tools that solve real professional problems. By democratizing access to powerful scientific writing tools for free, OpenAI is lowering barriers for researchers worldwide and potentially accelerating the pace of discovery.
Sources:
🔗 https://openai.com/de-DE/prism/
What Will Your Retirement Look Like?
Planning for retirement raises many questions. Have you considered how much it will cost, and how you’ll generate the income you’ll need to pay for it? For many, these questions can feel overwhelming, but answering them is a crucial step forward for a comfortable future.
Start by understanding your goals, estimating your expenses and identifying potential income streams. The Definitive Guide to Retirement Income can help you navigate these essential questions. If you have $1,000,000 or more saved for retirement, download your free guide today to learn how to build a clear and effective retirement income plan. Discover ways to align your portfolio with your long-term goals, so you can reach the future you deserve.
HunyuanImage 3.0 Instruct: When AI Images Learn to Think
Image generation just got a brain upgrade. Tencent has released HunyuanImage 3.0 Instruct — and this isn't just another image model. It's the first open-source image generator that actually reasons before it creates.
Here's what makes it special: The model performs structured thinking to analyze user's input image and prompt, expanding user's intent and editing tasks into comprehensive instructions. This Chain-of-Thought approach means the AI doesn't just blindly follow prompts. It thinks through the task step by step — analyzing composition, lighting, color palette, and style before generating a single pixel.
With 80 billion parameters, it stands as the largest open-source image generation model available today. The new Instruct version adds powerful image-to-image capabilities: style transfers, multi-image fusion, old photo restoration, and precise element editing while preserving untouched areas. There's even a distilled version that produces results in just 8 sampling steps.
For developers and researchers, this is huge. As the world's largest open-source text-to-image model, it provides a powerful foundational tool for the entire AI community. Commercial use is permitted, and the full model weights are freely available.
HunyuanImage 3.0 Instruct demonstrates that combining language model reasoning with image generation creates smarter, more context-aware outputs. This architectural approach could reshape how future multimodal AI systems are built, making them not just powerful, but genuinely intelligent.
Equipment policies break when you hire globally
Deel’s latest policy template on IT Equipment Policies can help HR teams stay organized when handling requests across time zones (and even languages). This free template gives you:
Clear provisioning rules across all countries
Security protocols that prevent compliance gaps
Return processes that actually work remotely
This free equipment provisioning policy will enable you to adjust to any state or country you hire from instead of producing a new policy every time. That means less complexity and more time for greater priorities.