Claude 3 Beats GPT-4 and Gemini

PLUS: OpenAI v Elon Musk

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Hello readers,

Welcome to another edition of This Week in the Future! Anthropic unveiled the Claude 3 model family consisting of Opus, Sonnet, and Haiku. Claude 3 Opus outperforms GPT-4 and Gemini. Plus, Elon Musk has sued OpenAI, and OpenAI responded by sharing some revealing internal emails.

As always, thanks for being a subscriber! We hope you enjoy this week’s content — for a video breakdown, check out the episode on YouTube.

Let’s get into it!

Claude 3

Anthropic, the enterprise and safety-focused AI company, has unveiled the Claude 3 model family consisting of Opus, Sonnet, and Haiku. Claude 3 Opus is said to be “the most intelligent model in the world” and outperforms GPT-4 and Gemini.

Claude 3 is available to use at and via Anthropic’s API. The models are also rolling out on Amazon Bedrock starting with Sonnet. Opus will cost $15 per 1 million input tokens and $75 per 1 million output tokens.


Multimodal: Claude 3 is multimodal and can process charts and technical diagrams. This capability is being made available to Anthropic’s enterprise customers.

Long-context: Claude 3 has a 200K context window with support for up to 1 million tokens for select users. It also has near-perfect recall.

Fewer refusals: Claude 3 is less likely to refuse to respond to certain prompts as its guardrails have a better understanding of context.

Why This Matters

The competition continues to catch up to GPT-4. Anthropic’s emphasis on enterprise and safety combined with their integration with AWS could make them an attractive alternative to OpenAI for many businesses.

OpenAI v Elon Musk

Elon Musk has sued OpenAI for allegedly abandoning its mission to build artificial general intelligence (AGI) that benefits humanity. As a co-founder and early investor, Musk considers OpenAI’s pivot from an open source nonprofit to a for-profit partnered with Microsoft to be a breach of some quasi-agreement.

OpenAI responded to the lawsuit in a blog post that shared internal emails between Musk, Sam Altman, Greg Brockman, and Ilya Sutskever. The emails reveal several details that could make the case unwinnable for Musk:

  1. Musk advocated that OpenAI would need to raise billions of dollars to have any hope of achieving AGI and competing with the likes of Google.

  2. Musk wanted to merge OpenAI with Tesla as an alternative option to Musk assuming absolute control of OpenAI as CEO.

  3. Musk agreed with OpenAI Chief Scientist Ilya Sutskever, who wrote that as they got closer to AGI, it would make sense to be less open.

Our Take

Musk might know the case is futile and has other motives. The bigger picture is the debate around open versus closed source and the best path to safe AGI. One thing’s for certain, OpenAI’s and Elon Musk’s lawyers are laughing all the way to the bank.

🔥 Rapid Fire

🎙️ The AI For All Podcast

This week’s episode featured Ron Randolph-Wall, Founder and CEO of 3XM Technologies, who discussed how AI changes advertising. Ron brings a wealth of knowledge from marketing, advertising, and the film industry to discuss the incorporation of AI in understanding consumers and analyzing data.

📖 What We’re Reading

Avoiding Generative AI’s Pitfalls in Legal Operations (link)

“In the legal tech space, where precision is critical, the choice of the best AI model for contract intelligence is more than academic—it's essential. With the 2023 OpenAI rollercoaster and looming annual budget reviews, law firms are at a crucial juncture: deciding whether to adopt generative language models with their expansive abilities or extractive AI models known for their sharp accuracy.”

Source: AI For All
A generative AI reset: Turning potential into value in 2024 (link)

“It’s time for a generative AI reset. The initial enthusiasm and flurry of activity in 2023 is giving way to second thoughts and recalibrations as companies realize that capturing gen AI’s enormous potential value is harder than expected. With 2024 shaping up to be the year for gen AI to prove its value, companies should keep in mind the hard lessons learned with digital and AI transformations.”

Source: McKinsey

💻️ AI Tools and Platforms

  • FinetuneDB → No-code LLM operations platform

  • Basedash → AI-generated interface to explore your data

  • Activeloop → Data lake for deep learning and fine-tuning

  • AirOps → Build and launch AI workflows that drive growth

  • Structify → Get data on demand for AI training

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