⚡️ AI Thinks 100× Faster

Hey folks,

I saw a great Tweet from Paul Couvert saying closed AI models no longer have an edge. You can replace all of them with free/cheaper and open source alternatives and the West may not be leading the future AI models.

Coding: Sonnet 4 → Qwen3 Coder
Writing: GPT-4.5 → Kimi K2 
Reasoning: OpenAI o3 → Qwen3 235B A22B
Thinking: Multimodal GPT-4o → Mistral Small 3.2
Mobile: None → Gemma 3n 4B

Let’s dive in..

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⚡️ HRM: AI That Reasons 100× Faster

🐝 The Buzz: Singapore’s Sapient Intelligence just introduced a lightweight but lightning‑fast AI model called HRM (Hierarchical Reasoning Model) and it can think up to 100× faster than big language models, despite being trained on just around 1,000 example problems. Think smart, not huge.

🧠 What Makes HRM Work

• Inspired by the brain: Instead of long, brittle chain-of-thought text prompts, HRM mimics how humans think, fast intuitive modules for quick decisions, plus slow deliberate systems for planning tough logic.

• Tiny yet mighty: The flagship HRM packs just ~27 million parameters but still scored 40.3% on ARC‑AGI beating CoT-based models like o3‑mini‑high (34.5%) and Claude 3.7 Sonnet (21.2%).

• Training in warp speed: Solving a professional-level Sudoku took just around 2 GPU‑hours; tackling ARC‑AGI took only ~50–200 GPU‑hours. Contrast that with massive foundation models that gobble up thousands.

• Zero hallucinations: Since most of its steps happen latently (not expressed in natural language), HRM avoids the fragile, verbose chains that often cause errors in LLMs.

💡 Why This Matters More Than You Think

• Ultra Lean Training: To teach HRM how to solve pro-level Sudoku or maze logic, it needed only a couple of GPU hours. Compare that with standard models that chew through massive, expensive training jobs.

• Speed That Feels Instant: HRM’s internal design lets it come up with answers very quickly, even on devices like phones or edge computers. For real-time apps or robots, speed matters.

• Minimal Data, Max Impact: Big AI models often need thousands or millions of labeled examples to learn a concept. HRM shines even where data is scarce like rare medical diagnoses or niche climate patterns.

• Scalable for Real Use: With lower cost and training needs, HRM can run in industries that can’t afford massive AI infrastructure like healthcare clinics or small robotics firms.

💡 Takeaway: HRM feels like a design revolt. It's blazing fast, lean, and dangerously efficient. If this tech scales, HRM could redefine where and how AI gets deployed especially in data‑scarce or latency‑critical domains. Bigger models are still in fashion, but smarter models are creeping up fast.

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🎬 Runway Aleph: Edit Your Video with Words

🐝 The Buzz: Imagine changing camera angles, removing objects, adjusting lighting or even flipping the weather in your footage, all with a few lines of text. That’s what Runway’s new Aleph model promises: filmmaking superpowers without needing a VFX.

🚀 The Details: Aleph is not another text-to-video generator, it transforms existing footage. Here’s what it can do all guided by natural language:

• Generate fresh angles from one shot. Tell it to create close-ups, wide shots, reverse takes or even the next logical shot in a scene

• Insert or remove objects, people, or props. Want to add a crowd or remove a lens glare? Aleph handles it with believable shadows and perspective.

• Shift style, lighting, and scenery. Turn noon sun into golden hour, change weather to snow or dusk, or reshape the whole vibe.

• Modify character looks. Change age, clothing style, or texture, no makeup or complex effects needed.

💡 Takeaway: Runway Aleph is a unified, prompt-driven video editor that could radically simplify post-production. Want a new camera angle? Add or delete objects? Change lighting or style? Just tell it. But while it looks powerful, it’s still early. If Aleph delivers consistently reliable results, it might turn filmmaking upside down, finally making high-end edits available to anyone with imagination and footage. 

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💻️ How to generate a full product, design and launch strategy

@ChrisLaubAI gave Claude 1 mega prompt and it handled:

• Product strategy
• Backend code
• UI/UX design
• Landing page copy
• Go-to-market plan

All in one go. Here’s the exact prompt he used:

<task>
You are my all-in-one technical cofounder, product strategist, UI/UX designer, copywriter, and launch expert.
We're building a SaaS startup together, step by step.
Your role is to guide and execute each major milestone — but only continue after I review and approve the current step.
</task>

<product_idea>
A [INSERT PRODUCT TYPE] SaaS that helps [TARGET USER] solve [PAIN POINT] using [SHORT TECH VALUE PROP]
</product_idea>

<instructions>
Start by completing the first mission below. Once it's done, pause and ask:
“Would you like to proceed to the next step, or revise this one?”

Here’s the full step-by-step sequence you’ll execute **one at a time**:

1. Validate the target audience and define the core user problem
2. Propose a focused MVP feature list (prioritize essentials only)
3. Write backend code in [Python/FastAPI/etc] to implement the MVP
4. Describe the UI/UX structure (components + layout + flow)
5. Write Webflow-ready landing page copy (headline, value, CTA)
6. Draft Twitter launch thread + Product Hunt listing
7. Outline a 7-day content strategy for initial traction

Be concise but complete. Use markdown headers to structure each output. Treat this like a collaborative startup sprint — you lead, I approve.
</instructions>

🐝 AI buzz bits

🛒 Google Chrome just cranked up the shopping game with AI-generated store summaries to help U.S. shoppers confidently navigate product quality and service ratings, making your online shopping spree smarter and a little less risky!

🚀 Hesamation just unleashed their Primer LLM embedding, making AI interactions smoother with a new era of seamless communication that feels almost human.

💰 Over $1 billion worth of Nvidia's restricted AI chips were smugled into China as savvy distributors exploit black market demands, showcasing an intricate web of smuggling operations with creative packaging tactics.

💥 A hacker cleverly exploited Amazon's AI coding assistant, nearly wiping out a million users’ data, exposing gaping security flaws in the process.

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🤘 Wed Vibes