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Alibaba announces new models and glasses
ALSO: How to turn written content into professional designs

Welcome back, Superhuman. The “technological singularity” refers to a theoretical point in the future at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable changes to human civilization. Mathematicians like Alan Turing and John von Neumann had predicted such a time as early as the 1950s. Both men saw superhuman artificial intelligence as a key mechanism in such a future.
In 2005, computer scientist Ray Kurzweil caused a stir when he pinned 2045 as the expected date of the singularity. Kurzweil recently forecasted that superhuman intelligence will arrive by 2029. Some, like former OpenAI researcher Daniel Kokotajlo, expect such intelligence to arrive by 2027.
Today: Read about new AI research breakthroughs, learn how to turn written content into professional designs, and get the latest prompts, headlines, and trending social posts.
TODAY IN AI

Alibaba announced new Quark AI glasses. Source: Alibaba
1. Alibaba puts strong foot forward with new model and glasses: The Chinese e-commerce giant just dropped its latest reasoning model that’s outperforming OpenAI and Google across key math and coding benchmarks. The ‘Qwen3-235B-A22B-Thinking-2507’ has been released under the Apache 2.0 license, meaning enterprises can download, modify, and integrate it into their systems without restrictions. The company also launched its first AI-powered glasses, set to hit the market later this year.
2. Promising new paper stirs up excitement in the AI community: Researchers have unveiled ASI-ARCH, a research system that designs novel AI model architectures all on its own. It connects 3 LLM-based agents — a ‘Researcher’ that creates code, an 'Engineer' that trains it, and an 'Analyst' that spots patterns — in a self-improving cycle, outperforming models designed by humans. If true, it could overhaul AI research from a human-limited process to one that scales directly with computing power (translation: AI model progress will get a lot faster).
3. Meta taps star researcher as head of its superintelligence unit: The company has named former OpenAI researcher Shengjia Zhao as 'Chief Scientist' of its superintelligence effort, adding some more firepower to its all-star lineup. Zhao, who helped create ChatGPT, GPT-4, and o1, joins former Scale AI CEO Alexandr Wang in what looks like a formidable leadership duo.
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FROM THE FRONTIER
Startup drops new AI architecture that delivers 100x faster reasoning than LLMs

LLMs have a big problem. Unlike humans, who can reason internally without verbalizing every thought, LLMs are forced to express all reasoning as text (aka chain-of-thought prompting). This approach is inefficient — it requires copious amounts of training data and can fail if steps are slightly out of order. The result: AI that’s data-hungry, computationally expensive, and still falls short on complex reasoning.
A startup from Singapore set out to fix this bottleneck. Sapient Intelligence has unveiled the Hierarchical Reasoning Model (HRM), an AI architecture that beats traditional LLMs on complex reasoning tasks with a fraction of the data and compute.

Sapient’s HRM architecture outperforms traditional models on complex reasoning tasks. Source: arXiv
Here’s how it works: HRM mimics how human brains think. It uses 2 interconnected modules that work together like a supervisor and a worker. The worker module crunches the numbers on a sub-task until it reaches a solution. Then, the supervisor evaluates this progress, updates the overall strategy, and assigns the worker a new sub-task. This back-and-forth lets the AI think without verbalizing each step as text, requiring a fraction of the compute that goes into traditional models.
This could have significant implications:
David beats Goliath: HRM blew much larger AI models out of the water on complex reasoning tasks with 100x faster processing, achieving near-perfect scores on challenges where state-of-the-art models completely failed.
Real-world efficiency: For enterprises, this translates to major cost savings and new capabilities, with training times slashed to hours instead of months.
New frontiers: This approach shows promise in fields that require complex decision-making, like healthcare, climate forecasting, and robotics.
THE AI ACADEMY
How to turn written content into professional designs with Claude

Go to Claude and sign up
Select ‘Search and tools‘ > enable ‘Canva’ (see image above)
Drop in your document, notes, or raw text and enter your prompt
Sample Prompt: “Create a branded infographic from this document”
In seconds, Claude will turn your text into a polished design
You can open the design in Canva and edit it as needed
You can use it to design infographics, brochures, pitch decks, and reports.
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IN THE KNOW
What’s trending on socials and headlines today

🥷 Claude Ninja: If you’ve been looking to set up Claude Code to automate your tasks but don’t know where to start, here’s a tutorial that’s going viral.
⚡️ Power Prompt: Creator Chris Laub claims to have found a new prompt that lets you generate product strategy, UI/UX design, and a go-to-market plan in one shot.
🐯 Trend Spotter: An AI-generated video of a house cat riding a leopard has gone viral with 100 million+ views on Instagram, starting a new trend of similar videos.
💾 Code Exposed: A GitHub user claims to have found the full Claude Code system prompt and shared it with everyone.
Huawei announced a new AI computing system that some industry observers say is competitive with Nvidia’s most advanced offering — another sign that China may be catching up to the US.
DOGE (aka the "Department of Government Efficiency") is deploying an AI tool to help federal agencies identify and eliminate thousands of regulations, according to a Washington Post report.
Anthropic, maker of the chatbot Claude, is set to raise a new funding round that will see its valuation soar to $150B, according to The Financial Times.
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PROMPT STATION
Test Your Knowledge
Prompt: I'm currently learning about #subject. Ask me a series of questions, one at a time, that will test my knowledge. Wait for my response before proceeding to the next question, ask the next question after you explain the answers. Identify knowledge gaps in my answers and give me better answers to fill those gaps. When finished, show me the quantity of correct answers and the quantity of failed answers
Source: snackprompt
Meat Mountainscape

Source: mato_marcom
ChatGPT Prompt: A hyperrealistic fantasy landscape featuring a wide, green meadow stretching into the distance, under a cloudy blue sky. In the background, a surreal mountain range rises — but instead of rocks, the mountains are made of raw, marbled meat with realistic texture and lighting. The meat appears organic and massive, with visible muscle striations and fat layers mimicking geological patterns. Small trees and patches of grass grow at the mountain base, blending the natural and surreal elements. The overall lighting is soft and cinematic, giving the scene a strange but beautiful and immersive feeling.
Style: Photorealistic, surreal, cinematic lighting, highly detailed textures (meat, grass, sky), realistic shadows and depth of field.
Whenever you’re ready to take the next step
Check out our Top 125 AI Tools
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Until next time — Zain & the Superhuman AI team