While many of us are winding down for Thanksgiving, AI startups are trying to make the most of the crisis at OpenAI by launching one major AI product on top of another.
After Anthropic and Grok made major announcements earlier this week, Stability AI just dropped a new AI model that it claims can beat Google and Meta’s models. Big words.
Data will decide who wins the AI race
Inflection releases new AI model, claims it can beat Meta and Google
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AI Generated Image: Futuristic cars
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Ownership and access to unique data will decide which companies win the AI race
The race to build the biggest, baddest, meanest AI models is heating up as startups and tech giants alike swallow tens of billions of dollars to buy GPUs and train AI models in search of use cases that unlock enormous new revenue streams.
And while GPT-4 is currently leading the pack for general purpose models, competitors like China’s Baidu claim that their models are just as good, and many industry-specific AI models are also carving out valuable niches.
But what determines how well a model performs? And who has the ability to build the best models? The answer: companies that have access to the biggest and most unique datasets.
An OpenAI employee recently claimed that all AI models trend towards the same endpoint regardless of training tactics or strategy, and that the main differentiator is the dataset. To which Elon Musk replied: “data is the spice.“
This could partially explain why Musk purchased Twitter (Now X). On top of the tens of billions that Tesla is investing into AI, Musk now has access to one of the biggest text datasets in the world with X’s purchase. No wonder Musk highlighted Grok’s access to X’s posts as a unique selling point when announcing the chatbot.
Venture capitalist Chamath Palihapitiya highlighted some more companies that own datasets with “huge value“:
“Tesla’s real world environment data”
“Meta’s real people preference and behavioral data”
“Google’s search intent, YT behavior and Gmail”
“Amazon’s purchasing behavior”
As the race to build the most powerful AI models ramps up, expect those with the ability to produce and own unique datasets to capture most of the value.
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NEXT IN AI
Inflection AI releases new AI model, claims it can beat Meta and Google’s models
While the big boys fight it out to see who can build the best AI models, startups aren’t planning on watching from the sidelines. Founded by LinkedIn cofounder Reid Hoffman and DeepMind cofounder Mustafa Suleyman, Inflection AI just announced Inflection-2, a new AI model that it claims is “the best model in the world for its compute class and the second most capable LLM in the world today.“
Big claims. But Inflection has some big numbers to back it up. Inflection-2 outscored Meta’s LLaMA 2 and Google’s PaLM 2 on various benchmarks, according to the company. It also did nearly as well as OpenAI’s GPT-4 on some tasks.
CEO Mustafa Suleyman said that the model will soon be integrated into the company’s Pi chatbot.
Reinforcement Learning from Human Feedback (RLHF) is a technique used for developing AI models like the one behind ChatGPT. RLHF combines traditional datasets with human feedback. It’s a powerful training method that lets models learn from real world interactions and adapt to human preferences.
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An introduction to Large Language Models (LLMs) by OpenAI scientist Andrej Karpathy
A lighthearted moment from AI to kickstart your weekend
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Prompt used: A futuristic version of a [insert brand name] car
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