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🧑🏫 Eureka!
PLUS: It's Godmother’s world, and we're just living in it
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Happy Friday, fellow humans 👋
Fei-Fei Li’s newest startup reaches unicorn status after four months, Andrej Karpathy sets up his latest startup, Eureka Labs, and Anthropic is teaming up with Menlo Ventures to launch the $100 million Anthology Fund…
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🧵 In today's edition:
🌏️ Godmother’s world
🧑🏫 Eureka!
💰$100M fund
🛠️ AI Tools to Check Out
🤑 AI Fundraising News
🐦 Tweet Post of the Day
🧑🏫Eureka!
Andrej Karpathy, former AI leader at Tesla and OpenAI researcher, is venturing into the world of education with his new startup, Eureka Labs.
Their goal? To revolutionize learning by integrating AI assistants into education.
Here’s the TL;DR:
Eureka Labs envisions AI teaching assistants working alongside human teachers to enable "anyone to learn anything."
While the long-term goal is to create AI personalities that can guide students through course materials, the company is starting with a more conventional approach.
Their first offering will be an AI course called LLM101n, designed to teach students how to build their own AI assistant.
Interestingly, the GitHub repository linked to the course suggests a focus on building a "Storyteller AI" rather than a general assistant. The course promises to teach students how to create a functioning web app like ChatGPT using Python, C, and CUDA.
Overall: Details about Eureka Labs' funding and business model remain unclear. Karpathy, who has a rich background in AI and education, including teaching at Stanford and leading teams at OpenAI and Tesla, seems to be the sole public face of the venture so far.
As AI continues to reshape various industries, Eureka Labs represents an intriguing attempt to harness its potential in education.
Read more: TechCrunch
Fei-Fei Li, known as the "godmother of AI" and Co-director of Stanford's Human-Centered AI Institute, quietly launched a startup called World Labs.
Within four months, the company has achieved unicorn status, valuing it at over $1B after two funding rounds led by top investors, including Andreessen Horowitz.
What is it?
World Labs aims to develop "spatial intelligence" in AI, focusing on humanlike visual data processing.
This project could revolutionize how machines understand and interact with three-dimensional spaces, potentially advancing autonomous systems and real-world AI applications.
Li's background includes creating ImageNet, a pivotal dataset for computer vision, and leadership roles at Google Cloud and Twitter. Her new venture builds on her extensive experience in AI and computer science.
Overall: The startup's rapid success highlights the current frenzy in AI investment. In the past three months alone, US AI startups have received over $27 billion in funding, accounting for about half of all startup investments during that period.
Read more: Financial Times
Anthropic is teaming up with Menlo Ventures to launch the $100 million Anthology Fund, which aims to support early-stage AI startups and promote the adoption of Anthropic's technology.
Why now?
Inspired by the successful 2008 partnership between Apple and Kleiner Perkins (the iFund), the collab aims to offer a unique blend of financial and technological support.
Menlo Ventures will provide the investment capital, while Anthropic will offer $25,000 in credits for startups to use its large language models.
Matt Murphy, a partner at Menlo Ventures, highlights the rapid pace of AI innovation, suggesting it's moving 10 to 100 times faster than previous tech waves. This fund aims to keep pace with this accelerated development.
Overall: This move also positions Anthropic competitively against OpenAI, which has its own $175M startup fund.
By fostering the next generation of AI companies on its infrastructure, Anthropic could strengthen its market position in the long run.
Read more: CNBC
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🤑 AI Fundraising News
EdgeRunner AI raises $5.5M in Seed funding to build GenAI for the edge that is safe, secure, and transparent.
Thoughtful AI raises $20M in funding to build a SaaS product with scalable business automation solutions purpose-built for mid-market healthcare companies.
🐦 Tweet Post of the Day
Sam Altman just released GPT-4o mini, a cheaper and faster version of GPT-4o.
Key features 👇️
Performance: It outperforms GPT-3.5 Turbo and other small models on various benchmarks, including:
82% score on MMLU (textual intelligence and reasoning)
87% on MGSM (math reasoning)
87.2% on HumanEval (coding performance)
59.4% on MMMU (multimodal reasoning)
Large context window: 128K tokens context window, supporting up to 16K output tokens per request.
Safety measures: Built-in safety mitigations, including the new instruction hierarchy method to improve resistance against jailbreaks and prompt injections.
Broad application potential: Suitable for various tasks, including chaining multiple model calls, handling large context, and real-time text responses.
towards intelligence too cheap to meter:
15 cents per million input tokens, 60 cents per million output tokens, MMLU of 82%, and fast.
most importantly, we think people will really, really like using the new model.
— Sam Altman (@sama)
5:09 PM • Jul 18, 2024
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