In today's AI Simplified:

1. Unlock the key to startup success: growth is the game-changer.

2. Anthropic's new AI assistant tool lets users create personalized solutions.

3. Nvidia accelerates AI chip evolution with new "Rubin" architecture.

4. An AI tool from the NIH predicts cancer response to immunotherapy using routine clinical data.

5. Supercharge your marketing efforts with a chatbot tool that qualifies, converts, and follows up with leads.

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An entrepreneur's perspective

Building the best product is only 10% of success.

(Counter to what everybody thinks startup success is)

All winning SaaS founders I’ve talked to agree with this point.

In reality, growth is 90% of the work.

• Every product category has 100s of companies.

• The winner is the company that finds the cheapest way to acquire their ideal customer.

There’s no magic pill for success. Its #1 engine is GROWTH.

News

1. Anthropic Unveils Customizable AI Assistant Tool

Anthropic has released a new feature for its AI chatbot Claude that allows users to create personalized AI assistants by integrating external APIs. The "tool use" capability enables a wide range of applications, from product recommendations to customer support to virtual interior design. Available through Anthropic's APIs and partners, this powerful tool is being beta tested with thousands of customers and is expected to drive innovative solutions as businesses leverage AI assistant technology.

2. Nvidia Accelerates AI Chip Evolution with New "Rubin" Architecture

Nvidia unveiled its latest AI chip architecture, "Rubin," just months after announcing the "Blackwell" model. This rapid advancement, announced by CEO Jensen Huang ahead of COMPUTEX in Taipei, highlights Nvidia's shift to a one-year update cycle, intensifying competition with rivals like AMD and Intel. The accelerated pace underscores Nvidia's commitment to maintaining its lead in the AI chip market amidst growing competition from tech giants and startups alike.

3. AI Tool Predicts Cancer Response to Immunotherapy Using Routine Clinical Data

Researchers at the National Institutes of Health have developed an AI model called LORIS that uses routine clinical data, such as blood test results, to predict whether a patient's cancer will respond to immune checkpoint inhibitors. The model, which includes six clinical features, accurately predicts response and overall survival, and can identify patients with low tumor mutational burden who may still benefit from immunotherapy. The tool is publicly available and could help doctors determine the effectiveness of immunotherapy drugs for treating cancer.

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