SSI hits $32B without a Product

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🚀 Safe Superintelligence Hits $32B
Insights from Financial Times

Safe Superintelligence (SSI), founded by OpenAI co-founder Ilya Sutskever, has raised $2 billion at a $32 billion valuation—just months after its launch. Despite lacking a public product, the startup is gaining momentum as investors bet big on the next wave of AI breakthroughs.

The Decode:

• Massive Funding, Minimal Disclosure - SSI’s latest round was led by Greenoaks ($500M) with backing from Lightspeed, Andreessen Horowitz, and reportedly Alphabet and Nvidia. This brings total funding to $3B, although SSI has not officially commented on the raise.
• A Singular Focus on Safety - Founded by Sutskever, Daniel Gross, and Daniel Levy, the company claims to have “one goal and one product: a safe superintelligence.” The website remains minimal, reflecting a deep focus on internal R&D rather than public visibility.
• Positioning Beyond AGI - SSI isn’t just chasing human-level AI—it’s aiming to build reasoning-based systems that can surpass human cognition. Sutskever previously told investors the team is “climbing a different mountain,” signaling a novel approach to superintelligence.

SSI’s rise mirrors a broader trend: cloud giants and VCs are rapidly backing elite AI labs. Microsoft is aligned with OpenAI, Amazon and Google with Anthropic, and Nvidia is now involved with both xAI and SSI. Investor appetite remains strong, especially for ex-OpenAI-led ventures.

⚡ Learn Anything 10X Faster with These AI-Powered Prompts

Want to study smarter, not harder? These 5 re-engineered ChatGPT prompts are designed to speed up your learning, sharpen your understanding, and make studying feel effortless. Whether you’re mastering a new topic or extracting lessons from a book, these will help you learn faster and retain more.

🧠 Top 5 Smart Learning Prompts

1. Concept Crash Course Designer

Break down [Insert Topic] into bite-sized lessons a beginner could follow. Use simple analogies, flow diagrams, and relatable real-world examples. Highlight frequent mistakes and how to avoid them. End with 3 practice questions and self-check answers. Rate overall understanding at the end.

2. Skill Sprint Planner

Build a 4-week crash course to master [Insert Skill/Subject]. Outline key milestones, small daily learning goals, and weekly challenges. Recommend bite-sized content and tools to reinforce learning. Add checkpoints to assess progress and confidence score weekly.

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Structure [Insert Topic] into a tiered learning map — essentials, supporting ideas, and real-world use cases. Add creative memory triggers or mental links to connect ideas. Include a one-minute quiz for quick recall and assign a retention score.

4. Book-to-Action Converter

Summarize [Insert Book Title] into 5 core takeaways with real-world relevance. Translate key lessons into actionable steps with examples. Build a checklist for implementation and trackable outcomes. Rate each insight’s potential impact from 1–10.

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Create realistic challenges for [Insert Subject]. Each should include the full problem, logical steps to solve, traps to avoid, and helpful hints. Vary the difficulty across beginner, intermediate, and expert. Score each attempt with feedback for improvement.

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🫁 AI Ultrasound Beats TB Experts

A new AI-guided point-of-care ultrasound (POCUS) tool has outperformed human experts in diagnosing tuberculosis (TB) in underserved regions. Presented at the ESCMID conference, this tech offers a fast, sputum-free triage solution aligned with WHO standards.

The Decode:

• AI Surpasses Human Accuracy - Developed in Switzerland and tested in Benin, ULTR-AI models identified TB with 93% sensitivity and 81% specificity—beating human experts by 9% and exceeding WHO’s diagnostic thresholds.
• Three-Tiered AI Model Suite - The system includes ULTR-AI (image-based prediction), ULTR-AI[signs] (detects lung signs), and ULTR-AI[max] (uses the highest risk score), enabling reliable TB triage from basic ultrasound scans.
• Tested in Real-World Conditions - 504 patients were screened via a 14-point lung ultrasound protocol, with 192 confirmed TB cases. Many were underweight, HIV-positive, or hospitalized, highlighting the tool’s use in high-risk settings.
• Designed for Remote Access - With smartphone connectivity and no need for sputum, the tool aims to decentralize TB diagnostics in areas lacking gene testing or chest X-ray access—like rural parts of Benin, Mali, and South Africa.

By delivering real-time, AI-powered results through portable ultrasound, this tool bridges the gap where lab-based testing isn’t feasible. It holds the potential to speed up triage, reduce transmission, and improve treatment outcomes in vulnerable communities.

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🛍️ Netflix has begun testing a new AI-powered search experience, developed in partnership with OpenAI. Currently available to select iOS users in Australia and New Zealand, the tool enables more nuanced queries. A U.S. expansion is expected in the coming weeks.

🛒 YouTube’s new AI “Music Assistant” lets creators generate royalty-free instrumental tracks using text prompts, like “uplifting music for a workout montage.” Rolling out via Creator Music beta, it offers free, copyright-safe audio options to enhance video content.

✍🏼 LinkedIn users are jumping on ChatGPT’s latest image trend—AI-generated action figures of themselves. Though less viral than the Ghibli craze, this plastic doll-style gimmick is gaining traction, mostly among marketers, with few celebrities and brands like MAC joining in.

🎗️ OpenAI may soon require organizations to verify their identity using a government-issued ID to access future advanced models via its API, aiming to prevent misuse, enforce policy compliance, and safeguard IP through a new “Verified Organization” process.

🎫 Elon Musk’s xAI-X merger aligns with his strategy of unifying ventures into a single ecosystem. Despite regulatory scrutiny and limited revenue, investors see long-term potential in combining AI infrastructure with X’s data—betting on Musk’s broader vision over immediate returns.

🕶️ ChatGPT topped global app downloads in March 2025 for the first time, reaching 46 million installs—a 28% jump from February. Surpassing Instagram and TikTok, its rise was fueled by viral image features, brand dominance, and growing mainstream AI interest.

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