AI needs to work on its conversation game 🤖

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🗞️ HIGHLIGHT OF THE DAY

AI needs to work on its conversation game

AI language models struggle with natural conversation because they can't detect transition relevant places (TRPs) – the moments when one speaker hands over the floor to another. While humans pick up on these cues using both verbal and non-verbal signals, AI systems, primarily trained on written content, miss this nuance.

Research from Tufts University found that while AI can detect patterns in text, it struggles with TRPs in spoken dialogue. This is because it’s trained on text-based data, not conversational transcripts, and lacks the depth of understanding required for natural conversation.

What We Think

To improve AI's conversational skills, it might be necessary to fine-tune large language models with more spoken dialogue data. However, even with additional conversational training, AI may still struggle to fully grasp turn-taking in conversations. There may be a deeper issue where AI is predicting text based on patterns, rather than understanding the conversation's full context, which could be a barrier to truly natural interaction.

⚡ LATEST IN TECH AND AI

Securing Cloud-Based AI Model Training Data

As AI models rely more on cloud-based datasets, securing this data is crucial. It’s important to assess the sensitivity of the data, which can be categorized into low, medium, or high-risk levels based on the potential harm if compromised. Proper data protection mechanisms like encryption, access control, anonymization, and tokenization are vital for securing sensitive data. Additionally, monitoring access and usage helps identify suspicious activity.

Google Gemini’s Imagen 3 Lets Players Design Their Own Chess Pieces

Google Labs has launched GenChess, an online game using the Gemini Imagen 3 AI to let players design their own custom chess pieces based on text prompts, such as sushi or pizza. Users can refine their creations and then play against an AI opponent. Google also introduced additional chess-related initiatives, including a coding challenge for AI chess engines and the upcoming Chess Gem game for Gemini, which allows users to play chess against a language model with casual banter, available to Gemini Advanced subscribers.

OpenAI Moves to Trademark Its o1 ‘Reasoning’ Models

OpenAI has filed a trademark application for its new "reasoning" AI model, o1, with the U.S. Patent and Trademark Office (USPTO) to protect its intellectual property. The company had also filed for a foreign trademark in Jamaica months before the model’s announcement. Unlike most AI models, o1 focuses on reasoning by fact-checking itself, allowing for more accurate and complex task performance. Although OpenAI has faced challenges in trademarking certain terms, like "GPT," it continues to assert its IP rights, including a legal battle over the use of the "OpenAI" name.

💡AI Tips and Best Practices

Micro SaaS for Client Onboarding

Client onboarding software helps businesses streamline the process of welcoming new clients, especially in industries like real estate, healthcare, and finance. AI-powered platforms guide clients through tasks like document submission, form completion, and agreement signing. Automated reminders keep clients on track, while a client portal allows for easy communication and file sharing. With industry-specific templates and integrated appointment scheduling, these platforms reduce friction, saving time and improving client satisfaction. Examples like Clusdoc, which hit $1.2M in annual revenue, and EzyClients, a new player in document collection, show how the Micro SaaS model can create impactful solutions in this niche.

Key Features of Client Onboarding Platforms

• Industry-Specific Templates: Pre-designed templates tailored to various industries, such as real estate and healthcare, ensuring a smooth onboarding experience.

• AI-Driven Document Handling: Automatically processes forms, contracts, and other paperwork, reducing manual effort.

• Automated Reminders: Sends timely notifications to clients, ensuring they stay on top of their onboarding tasks.

• Client Portal: A central hub for clients to track progress, share files, and communicate securely with businesses.

• Appointment Scheduling: Integrated calendar tools for seamless booking and meeting coordination.

Benefits of AI-Powered Client Onboarding

• Time Efficiency: Automates administrative tasks like form submissions and document signing, saving businesses valuable time.

• Reduced Human Error: With automation and AI, there’s less room for mistakes in data entry and document handling.

• Improved Client Satisfaction: A streamlined, easy-to-navigate onboarding experience enhances client satisfaction and retention.

• Scalability: Businesses can manage a higher volume of clients without increasing operational complexity.

Examples of Client Onboarding Software

• Clusdoc: A client onboarding tool that reached $1.2M in annual revenue, showcasing the demand for automated solutions.

• EzyClients: A newer solution for document collection and client onboarding, targeting small businesses and startups.

Opportunities for Differentiation

• Offer customizable workflows for specific industries, such as legal or finance, to address unique client needs.

• Integrate e-signature platforms like DocuSign to streamline the approval process.

• Develop analytics dashboards to track onboarding progress and identify bottlenecks.

• Add multilingual support for businesses operating globally.

AI-powered client onboarding tools are revolutionizing the way businesses engage new clients, offering solutions that save time, reduce errors, and increase satisfaction. The Micro SaaS model in this space presents significant opportunities for businesses to improve client acquisition processes while maintaining a personalized touch.

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💻 COOL AI TOOLS

Sudowrite

Sudowrite is an AI writing assistant that helps writers overcome creative blocks and improve their storytelling. It generates ideas, suggests rephrasings, and offers structure advice, making it a valuable tool for authors and content creators.

ClickUp

ClickUp is an AI-driven project management tool designed to help teams collaborate and organize tasks efficiently. With smart features like task automation, time tracking, and progress reports, ClickUp simplifies complex project workflows and boosts team productivity.

tL;dv

tL;dv is a powerful AI tool that helps you transcribe and summarize video calls and meetings. It makes it easy to extract key insights, ensuring you never miss an important detail and can quickly catch up on missed meetings.

💸 WHO RAISED?

Discover startups who just raised funds.

Vente AI Raises £500K to Revolutionize Recruitment

London-based startup Vente AI has successfully raised £500K in pre-seed funding to revolutionize recruitment through automation. Led by Antler and supported by recruitment and rectech angels, including Thomas Vose of HireAra, the platform uses AI to streamline lead identification, prioritization, and analysis, cutting the business development time by 90%. Early adopters have already seen significant results, generating £300K in additional revenue and saving 1,500 hours of manual work. With the UK’s competitive recruitment market in mind, Vente AI’s platform is well-positioned to improve efficiency and hiring quality.

Klarna founder-backed Predium cements €13M to decarbonise real estate with AI

Munich-based proptech startup Predium has raised €13 million in Series A funding to advance its ESG management solutions for the real estate and finance sectors. Led by Norrsken VC, the investment arm of Klarna’s founder Niklas Adalberth, along with contributions from UVC Partners, b2venture, and Mutschler Ventures, the funding will enable Predium to enhance its platform. By leveraging AI, satellite imagery, and 3D modeling, Predium empowers real estate firms to make data-driven decisions on property management, reducing CO2 emissions and increasing long-term profitability. With the EU’s 2050 climate-neutral goal looming, Predium’s solution helps clients navigate the pressures of regulatory changes and fluctuating interest rates.

Enveda Biosciences Raises $130M to Accelerate AI-Driven Drug Discovery

Enveda Biosciences, a Boulder, Colorado-based biotech startup, has successfully raised $130 million in a Series C funding round, bringing its total funding to $360 million. The round was led by FPV Ventures and Kinnevik, with participation from Microsoft, which had already backed the company during its previous $55 million round in June.

Enveda uses AI-powered tools to identify a wide range of molecules produced by living organisms. This technology enables the company to rapidly accelerate the creation of new medicines. With the new funding, Enveda aims to further expand its research and development capabilities, potentially revolutionizing the drug discovery process.

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