Tetsuwan Scientific: Pioneering Robotic AI Scientists for the Future of Research

📖 TODAY’S ISSUE

🧵 Here are some insightful AI updates and tools we’ve curated for you today:

🚀 Latest in AI and Tech Discover cutting-edge AI advancements and transformative technologies.

🛠️ Cool AI Tools Explore innovative tools that are revolutionizing the AI landscape.

💡 AI Tips and Best Practices: Get actionable insights to enhance your AI projects and productivity.

🚀 Emerging Innovators: Spotlight on the Latest AI and Tech Startups

🗞️ HIGHLIGHT OF THE DAY

OpenAI trains o1 and o3 to ‘think’ about its safety policy

OpenAI introduced its new AI reasoning models, o3, which are trained to consider the company's safety policy during inference. Using a method called "deliberative alignment," these models re-prompt themselves with safety guidelines to ensure safer responses. This process reduces unsafe answers and improves alignment with OpenAI’s values. Synthetic data was used to train the models efficiently without human-written examples. The o3 model, set to release in 2025, aims to make AI safer, but the real-world impact will depend on its performance in diverse scenarios.

What we think: OpenAI's new approach is a promising step towards safer AI, but balancing safety with flexibility remains crucial for its long-term success.

💡AI TIPS AND BEST PRATICES

💡 Micro SaaS for Video Testimonial Collection and Display

With video-based testimonials becoming increasingly popular, there's a clear gap in tools that help founders request and manage video feedback from their customers. A Micro SaaS tool could be created to let founders easily collect, manage, and display video testimonials, helping them showcase social proof and build trust. This tool would allow users to request video testimonials from customers via any device, create a “wall of love” showcasing all uploaded videos, and provide an embeddable JavaScript widget to display these testimonials on any website.

Key Features of Video Testimonial Tool:

• Easy Video Capture: Customers can record and upload video feedback using their devices (phone, tablet, desktop).

• Wall of Love: A visually appealing grid or gallery displaying all submitted video testimonials.

• Embeddable Widget: A customizable JavaScript widget for embedding video testimonials on websites.

• Automated Request System: A feature that automatically sends personalized video request emails or texts.

• Review and Approval: Ability for founders to approve or reject video submissions before they appear publicly.

• Integration with CRMs/Email: Connects with CRMs like Mailchimp or HubSpot for seamless marketing and outreach.

Benefits of Video Testimonial Tools:

• Enhanced Credibility: Showcases authentic feedback from real customers, building trust with potential buyers.

• Easy Integration: Easily embed videos on product pages, landing pages, or testimonials sections of websites.

• Increased Conversions: User-generated video content can increase customer trust and conversion rates.

• Seamless Experience: Simple setup process for users and customers to submit video feedback effortlessly.

• Custom Branding: Ability to add company logos, colors, and custom fields to personalize testimonial requests and displays.

Examples of Similar Tools:

• Testimonial.to: Launched in 2020, this platform has grown to thousands of dollars in MRR and provides video testimonial collection tools.

• Vouch: Founded in 2020, Vouch achieved $2.5M in revenue by offering video testimonial solutions.

Market Potential and Demand:

With increasing reliance on user-generated content and the growing importance of social proof, businesses are eager to build trust with potential customers. Video testimonials offer a more engaging and authentic form of feedback than written reviews. This creates a strong market opportunity for a tool that makes capturing and displaying video testimonials easy for businesses of all sizes.

Opportunities for Differentiation:

• AI-Powered Content Moderation: Automatically detect and flag inappropriate content for review.

• Customizable Display Styles: Offer a variety of display options for how testimonials are shown on websites.

• Multi-Language Support: Allow businesses to collect video testimonials in different languages for international markets.

• Advanced Analytics: Provide insights on video engagement, including view counts, completion rates, and customer sentiment analysis.

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⚡ LATEST IN TECH AND AI

Tetsuwan Scientific: Creating Robotic AI Scientists to Automate Scientific Experiments

Tetsuwan Scientific, founded by Cristian Ponce and Théo Schäfer, aims to revolutionize laboratory automation by combining robotic systems with AI. Initially focused on modifying affordable lab robots to reduce manual tasks like pipetting, the company discovered the potential of large language models (LLMs) like GPT-4 to diagnose scientific issues and suggest improvements. Their robots, designed to autonomously perform experiments, incorporate AI to understand complex variables like liquid properties and make adjustments in real time. With a $2.7 million pre-seed funding round and an early partnership with La Jolla Labs, Tetsuwan envisions a future where AI-driven robots can fully automate the scientific method, accelerating discovery and innovation.

OpenAI’s GPT-5 Struggles to Meet Expectations Amid Development Delays

OpenAI’s development of GPT-5, code-named Orion, is reportedly falling behind schedule, with results that do not yet justify the significant costs involved. Despite completing two major training runs, the model's performance improvements have been slower than anticipated, leading to concerns about its viability. While GPT-5 is expected to outperform previous models, the costs of its development and operation remain high. To address data limitations, OpenAI has been supplementing its training with newly created data and synthetic inputs, but the model still faces challenges. OpenAI has stated that it will not release Orion this year, signaling a delay in its expected launch.

Ecologists Find Blind Spots in AI Models for Wildlife Image Retrieval

MIT and iNaturalist researchers discovered that while large multimodal vision language models (VLMs) perform well on basic queries, they struggle with complex, domain-specific tasks in wildlife image retrieval. For example, VLMs had difficulty identifying rare conditions like "axanthism in a green frog." This highlights the need for more specialized training to handle scientific terminology. The team’s INQUIRE dataset, which includes 5 million wildlife images and 250 prompts, aims to improve VLMs’ capabilities for ecological research and biodiversity monitoring.

💻 COOL AI TOOLS

Runway Gen-2
Runway Gen-2 is an AI video editing tool that generates and edits videos from text prompts, enabling scene creation, object removal, and visual effects, ideal for filmmakers and content creators.

Cortexica
Cortexica provides AI visual search and recognition, helping businesses integrate image-based search and real-time object recognition for enhanced customer experiences in retail, fashion, and logistics.

Mubert
Mubert is an AI music generator that creates unique, royalty-free soundtracks in real-time, perfect for content creators, advertisers, and developers looking for custom audio without licensing concerns.

💸 WHO RAISED?

Laurence has grown Rapidely to $38K MRR . It’s an AI-powered social media management platform that streamlines content creation, scheduling, and team collaboration.

1. JobBoardSearch by Rodrigo generated $55K in total revenue. It’s a meta directory of job boards. Rodrigo launched this project in 2022.

2. Marco Vinciguerra, Marco Perini and Lorenzo have grown ScrapeGraphAI to $780/month revenue. ScrapeGraphAI is an AI scraping API designed for web data extraction to power LLM applications and AI agents .

3. ParakeetAI by Jure crossed $15k in monthly revenue. ParakeetAI is an AI-powered tool that provides real-time, tailored responses during job interviews on video platforms. It was launched in September 2024.

4. InStatus by Ali reached $32K MRR. Instatus is a tool for businesses to set up a custom fast-loading status pages. It took Ali 5 years to reach this milestone.

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