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- 💡1 Billion yes with a B
💡1 Billion yes with a B
Plus: Latest News, Tools, and Advancements
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Hello, AI leaders! Join us as we delve into the most recent AI trends and discussions.
In Today’s AI Report:
🚀 Bessemer Venture Big Buy: $1 Billion Commitment
🚫 LinkedIn Layoffs: More White Collar Layoffs
♻️ GPT-2 meets GPT-4: GPT-4 explains neurons
💎 4 AI tools 4 You: Handpicked and tested 4 You
Bessemer Venture Partners, a venture capital firm headquartered in San Francisco, recently committed $1,000,000,000,000 to AI startups. Yes, 1 billion dollars.
Partners at the firm, like Talia Goldberg, have been closely observing the sudden impact of AI in healthcare, cyber, and tech and have decided enough is enough. She said, “A.I. is here, it is massive.”
They are deploying $1 billion from their current funds as opposed to opening a new one, with a focus on AI-native companies where AI is at the core of their company.
We expect that over the next many years, you’re going to see totally new industries emerge and transform based on A.I.—and so there’s a whole lot of good reason for all the attention that it’s getting.”
LinkedIn has added to the 190,000 tech jobs lost to AI this year by adding 716 more. This affects 3.5% of their total workforce of around 19,000.
They have also decided to cut ties with its China-specific jobs app, “InCareer.” After launching in China in 2021, InCareer never really gained traction.
LinkedIn's revenue grew 8% YoY to $3.7 billion in Q3 2023. But LinkedIn said that there will be further cost cuts and layoffs in the future.
New research from Open AI, GPT-4 was used to label all 307,200 neurons in GPT-2 (a predecessor to GPT-4). Each neuron was labeled with English descriptions aligned with the role each neuron played in the model.
Now that may seem confusing, so let me break it down further in this sample sentence: “A broad effort is under way to understand what really works in health care, perhaps leading to better value for dollars spent.” The highlighted word is "dollars.” let’s see what GPT-2 thinks the word dollar means in layers.
Layer 1: “words related to currency and money”
Layer 2: “instances of the word “buck” or words containing buck.””
Layer 29: “mentions of “American” and related terms”
Each layer depicts the way AI thinks about the given keyword (in this instance, Dollar) Layer one is the most accurate, and the higher the number, the more abstract the description.
You can now take a peek into how large language models (LLM) think!
💎4 AI Tools 4 You
🔮 AI Inspiration
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That’s all for today!
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