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Friday’s top story: Amazon could finally be debuting its LLM—Olympus—at its AWS conference, next week.
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🤖 Amazon enters AI chatbot race (finally)
🛟 How to protect your personal info online with Incogni
🫣 Google next to take on OpenAI’s o1?
💼 How to start your career as an AI consultant with Innovating with AI
🪴 How to use the ‘Growth Hacking Playbook’ to scale using ChatGPT
🏆 The US beats China in the global AI race
Read Time: 5 minutes
FACT OF THE DAY
🤔 According to the 2024 Stack Overflow Developer Survey, around 82% of software engineers are using AI tools to write code and 68% are using them to search for answers to coding questions or to help fix issues.
🦃 The stock market was closed yesterday due to Thanksgiving in the United States. AI and tech stocks are setting up for a strong finish to the year. Learn more.
Our Report: Amazon is reportedly about to reveal its first, advanced Large Language Model (LLM), codenamed “Olympus” next week, at its annual AWS conference—re:Invent.
🔑 Key Points:
Reports that Amazon was building a new AI model came out in November last year, and with a team dedicated to training it, experts believed (at the time) it could be one of the largest LLMs ever trained.
Amazon Olympus also (allegedly) has multimodal capabilities, which means it doesn’t just process or read text, it can see and understand visual content—ie. videos and images—too.
And if rumors are to be believed, it can also search visual content and find specific scenes or moments via simple text prompts, such as: “Show me the game-winning basketball shot.”
🤔 Why you should care: While Amazon has been slow to release a flagship LLM—trailing behind the likes of OpenAI, Google, and Microsoft—Olympus represents a shift in Amazon’s focus as it enters the AI arena, and the release of its own LLM will also reduce reliance on third-party AI technologies, such as Anthropics Claude chatbot (despite plowing $8B into the start-up).
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Our Report: Following the release of Alibaba’s QwQ-32B-Preview (QWQ) this week and DeepSeek’s DeepSeek-R1 last week—both of which are competing against OpenAI’s o1 model (released in September)—Google’s research lab, DeepMind, is now (reportedly) developing its own AI model with advanced reasoning capabilities.
🔑 Key Points:
The new model will ‘self-reason’ its way through tasks and answer complex questions in areas like Math, logic, and code (notoriously difficult subjects for AI models), mimicking a human's ability to think and reason.
Two internal sources have revealed that the AI researchers behind the new model are trying to re-create this human-level reasoning in the AI model by using ‘chain-of-thought prompting’ (which is how o1 was developed).
After it receives a prompt, the model will consider several related prompts before it summarizes and then delivers what it believes is the optimal response, which can take a few seconds (o1 reportedly takes up to 10).
🤔 Why you should care: Although Google appears to be slow at releasing new AI models (in comparison to its nemesis, OpenAI) this news comes after Google unveiled ‘AlphaProof’ in July, which specializes in Math reasoning, and in May, at its developer conference, revealed ‘Astra’, an AI assistant that uses a phone’s camera to ‘see’ and answer questions, showing the progress it had already made in advanced reasoning.
TOGETHER WITH INNOVATING WITH AI
The AI consulting market is about to grow by a factor of 8X – from $6.9B to $54.7B in 2032.
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The Stanford Institute for Human-Centered AI has updated the ‘The Global Vibrancy Tool’ (first released in 2017) which measures a country’s AI ecosystem to establish who the global leader in AI is.
The tool aggregated and analyzed data from 42 key AI-specific indicators—including research papers, private funding, and patents—from across 36 countries, and found that the US is leading the AI race, by a wide margin.
Behind the US was China—which has fallen significantly behind because the US has attracted more private funding and produced more ML models (although China does have more AI patents)—and in third place, was the UK.
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Until next time, Martin & Liam.
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