- Supercharged With AI
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- ⚡🔋Tetsuwan Scientific Raises $2.7M to Automate Labs With AI-Powered Robots
⚡🔋Tetsuwan Scientific Raises $2.7M to Automate Labs With AI-Powered Robots
And more: GPT-5 Delayed: Orion Struggles to Meet Expectations After 18 Months; Arizona’s AI-Driven School: Unbound Academy Redefines Education
Good morning ☀️, leader of the next gen.
The future belongs to you. Let’s make conscious leadership the norm and embrace innovation as the driving force for positive change 🌍✨
WHAT’S AT STAKE TODAY ⚡
- 🧪🤖 Tetsuwan building robot scientists. Lab coats optional, silicon brains required!
- 🌍🗣️ Google's Gemini speaking 40 languages. AI polyglot goes global!
- 📉😅 OpenAI's GPT-5 not living up to hype. Even AI has performance anxiety!
- 🛡️💼 AI companies turning into defense tech. Silicon Valley goes military!
- 💰🚀 49 AI startups join $100M club in 2024. Money printer goes brrr!
- 🏃♂️✅ Nvidia gets green light for Run:ai deal. Regulatory hurdle cleared!
- 📚🤝 OpenAI training models on safety policy. AI learning to play nice!
- 🤝🛡️ Palantir and Anduril planning defense tech team-up. Military tech dream team forms!
- 🎭🏛️ Krishnan joining Trump's AI squad. Tech meets politics, what could go wrong?
⚡ Latest in AI
Tetsuwan Scientific is making robotic AI scientists that can run experiments on their own
Tetsuwan Scientific founders innovating robotic AI scientists
Tetsuwan Scientific, founded by Cristian Ponce and Théo Schäfer, is developing innovative AI-powered robots capable of conducting scientific experiments autonomously. This breakthrough combines advanced robotics with large language models to automate laboratory processes that traditionally required manual human intervention.
Origins and Technical Innovation
The company's journey began when its founders, who met at an Entrepreneur First event, bonded over their shared experiences with tedious laboratory work. Their initial focus was on automating manual processes like pipetting, which traditionally resisted automation due to the high cost and inflexibility of specialized robots.
A crucial breakthrough came after watching OpenAI's multi-model product launch in May 2024. The founders discovered that GPT-4 could successfully interpret scientific data and provide detailed analysis, such as identifying problems in DNA gel images and suggesting solutions. This revelation led to their current approach: combining AI's analytical capabilities with robotic systems that can physically execute experiments.
System Capabilities and Market Impact
Rather than creating humanoid robots, Tetsuwan Scientific develops square glass structures equipped with sophisticated software and sensors. These systems can understand critical variables like calibration and liquid properties, enabling them to modify experiments autonomously based on results.
The company has already secured an alpha customer, La Jolla Labs, where their robots assist in RNA therapeutic drug research by measuring and determining dosage effectiveness. Their potential has attracted significant investor interest, resulting in a $2.7 million pre-seed round led by 2048 Ventures, with participation from Carbon Silicon, Everywhere Ventures, and prominent biotech investors.
The development builds on a history of robotic scientists dating back to Ross King's "Adam & Eve" in 1999, but adds crucial innovations in translating scientific intent into robotic execution. The system's ability to understand and adapt to physical properties of materials sets it apart from previous attempts at laboratory automation.
Looking ahead: Tetsuwan Scientific envisions creating fully independent AI scientists capable of automating the entire scientific method, from hypothesis generation through to repeatable results. This ambitious goal could dramatically accelerate scientific discovery and innovation across multiple fields.
⚡ The companies of the future
Google is expanding Gemini’s in-depth research mode to 40 languages
Google's Gemini AI expanding globally
Google is expanding its Gemini AI's in-depth research mode to 40 additional languages, including Arabic, Hindi, Chinese, and many others. The feature, available to Google One AI premium subscribers, creates research plans and generates reports through multiple rounds of information gathering.
While Google uses native sources and search data for training, executives acknowledge challenges with accuracy in non-English summaries. HyunJeong Choe, director of engineering, notes they're working on improving the model's use of information, while Jules Walter, product lead for international markets, mentions they employ testing programs and local teams for quality checks.
⚡ MORE AI BITES
OpenAI’s GPT-5 reportedly falling short of expectations
Challenges in GPT-5 Development
According to The Wall Street Journal, OpenAI's development of GPT-5 (codenamed Orion) is experiencing delays and falling short of expectations after 18 months of development. Initial training runs were slower than anticipated, suggesting full-scale training would be both time-consuming and expensive.
While GPT-5 shows some improvements over previous models, the gains don't justify its operating costs. OpenAI has resorted to hiring people to create fresh training data and using synthetic data from its o1 model, rather than relying solely on public data and licensing deals.
⚡ Insights on AI Today
- 🛡️ 💼 AI companies turning into defense tech. Silicon Valley goes military!
- 💰 🚀 49 AI startups join $100M club in 2024. Money printer goes brrr!
- 🏃♂️ ✅ Nvidia gets green light
- for Run:ai deal. Regulatory hurdle cleared!📚 🤝 OpenAI training models on safety policy. AI learning to play nice!
- 🛡️ 🤝 Palantir and Anduril planning defense tech team-up. Military tech dream team forms!
- 🎭 🏛️ Krishnan joining Trump's AI squad. Tech meets politics, what could go wrong?
⚡ Trends for the Future
Arizona’s getting an online charter school taught entirely by AI
Explain The Picture
The details:
In a bold step that could reshape the future of education, Arizona's State Board for Charter Schools has approved what might be the country's first AI-taught online school. Unbound Academy is set to pioneer a radical approach to education where artificial intelligence, not human teachers, will deliver the core academic curriculum.
The school's innovative model condenses traditional academic instruction into a focused two-hour window, utilizing AI-driven adaptive learning technology through platforms like IXL and Khan Academy. These interactive systems continuously adjust to each student's learning pace and style, offering personalized education at scale.
While the program minimizes traditional teacher involvement, it doesn't eliminate the human element entirely. The school will employ a "human-in-the-loop" approach, with "skilled guides" monitoring student progress and providing targeted interventions when necessary. However, these guides may not be traditionally accredited teachers, marking a significant departure from conventional educational models.
The remainder of the school day will focus on practical life skills, including critical thinking, creative problem-solving, financial literacy, public speaking, goal setting, and entrepreneurship. Targeting students from fourth to eighth grades, this program builds on experience gained from a similar "high-end private school" operation in Texas.
Why it matters: This approval represents a significant milestone in charter school autonomy. While charter schools traditionally enjoy more freedom in their teaching methods compared to public schools, Unbound Academy's AI-driven approach pushes these boundaries into entirely new territory, potentially setting a precedent for future educational innovations.
Do you have a business problem keeping you up at night?
Here’s your chance to get it solved! Share your most staggering challenges with us, and I’ll use the power of AI to find solutions tailored just for you. I’ll feature the answers in one of our upcoming Supercharged issues—let’s tackle it together!
AI is not just about creating autonomous systems; it's about understanding and enhancing the symbiotic relationship between human and machine intelligence. Each breakthrough helps us discover new ways that different forms of intelligence can complement each other.
Manuela Maria Veloso is the Head of J.P. Morgan AI Research & Herbert A. Simon University Professor Emeritus in the School of Computer Science at Carnegie Mellon University, where she was previously Head of the Machine Learning Department.
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⚡ AI Playground: Code & Craft
🔧 This Week’s Tool: Perplexity AI 🔧
Overview: Perplexity AI is an AI-powered search and question-answering tool that provides accurate and concise answers to your queries. It’s perfect for professionals, students, and curious individuals who need quick, reliable information without sifting through endless search results.
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Follow This Simple Guide to Get Started with Perplexity AI:
- Visit the Website: Go to perplexity.ai.
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Leverage Perplexity AI to streamline your search process, gain insights, and explore complex topics with ease.
💡 Challenge: Use Perplexity AI to answer a question or research a topic you’ve been curious about. Reply to this email with the most interesting insight you’ve discovered, and we’ll pick one winner to receive a special prize! Start exploring! 🚀
No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀, Elena
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