July 1 Update - AI Acquisition Frenzy: Tech Giants Splurge Billions to Secure AI Dominance

Get ready for a wild ride as we dive into the New Wave of AI Investments and Acquisitions! Tech companies are racing to become AI leaders through a flurry of corporate deals. From Databricks' $1.3 billion acquisition of MosaicML to Thomson Reuters paying $650 for a legal AI assistant, it's a spending spree like no other. Inflection AI raised a jaw-dropping $1.3 billion with backing from tech giants and claims to have the best AI hardware. Meanwhile, startups are being bought out left and right, and clouds are picking teams in the AI world. And Google announced the first-ever Machine Unlearning Challenge. Oh, and listen to a conversation with Marc Andreessen on the future of AI. Fasten your seatbelts, folks, because this edition is packed with AI insights and surprises!

New Wave of AI Investments and Acquisitions

Tech companies are racing to become leaders in AI. To demonstrate their commitment to this rapidly growing technology, these companies are engaging in a flurry of corporate acquisitions and investments. This is important because AI has the potential to revolutionize numerous industries, and CEOs are under pressure to demonstrate that they have a solid strategy for integrating AI into their businesses.

Databricks Acquired MosaicML for $1.3 billion

Thomson Reuters Paying $650 for Legal AI Assistant Casetext

Inflection AI Raises $1.3 Billion

Backed by Microsoft, Nvidia and billionaires Reid Hoffman, Bill Gates and Eric Schmidt, the startup led by ex-DeepMind leader Mustafa Suleyman is valued at $4 billion — and claims to have the world’s best AI hardware setup.

Runway Raises $141M After Raising $50M in December

Startup Founded Four Months Ago With the Ambition of Becoming the “OpenAI for China”, is Getting Bought Out

Zerarate, an AI-Powered Agent Coaching

Meet the Generative Eight

Picking Teams in AI

Clouds are picking teams in one of the most important dislocations in software.

Cloud????LLM Infrastructure

Microsoft ?? OpenAI

Snowflake ?? Nvidia

Databricks ?? Mosaic

Google ?? Anthropic

Oracle ?? Cohere

Amazon ?? HuggingFace

How should startups think about choosing the right team?

Google Announcing the first Machine Unlearning Challenge

Machine unlearning?is an emergent subfield of machine learning that aims to remove the influence of a specific subset of training examples — the "forget set" — from a trained model. Furthermore, an ideal unlearning algorithm would remove the influence of certain examples?while maintaining?other beneficial properties, such as the accuracy on the rest of the train set and generalization to held-out examples. A straightforward way to produce this unlearned model is to retrain the model on an adjusted training set that excludes the samples from the forget set. However, this is not always a viable option, as retraining deep models can be computationally expensive. An ideal unlearning algorithm would instead use the already-trained model as a starting point and efficiently make adjustments to remove the influence of the requested data.

AI Survey

They polled 2,000 people about how they’re using AI, what they want it to do, and what scares them about it the most.

Debating the Future of AI: A Conversation with Marc Andreessen

Microsfot and LlinkedIn Launch Course to Teach How to Apply Generative AI in Your Career