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Fridayâs top story: Amazon could finally be debuting its LLMâOlympusâat its AWS conference, next week.
đ To protect your personal information online, from AI scammers, we recommend you try Incogni
đ€ Amazon enters AI chatbot race (finally)
đ How to protect your personal info online with Incogni
đ«Ł Google next to take on OpenAIâs o1?
đŒ How to start your career as an AI consultant with Innovating with AI
đȘŽ How to use the âGrowth Hacking Playbookâ to scale using ChatGPT
đ The US beats China in the global AI race
Read Time: 5 minutes
FACT OF THE DAY
đ€ 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.
đŠÂ 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 âOlympusâ next week, at its annual AWS conferenceâre:Invent.
đ 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.Â
Amazon Olympus also (allegedly) has multimodal capabilities, which means it doesnât just process or read text, it can see and understand visual contentâie. videos and imagesâtoo.
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: âShow me the game-winning basketball shot.â
đ€Â Why you should care: While Amazon has been slow to release a flagship LLMâtrailing behind the likes of OpenAI, Google, and MicrosoftâOlympus represents a shift in Amazonâs 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 Alibabaâs QwQ-32B-Preview (QWQ) this week and DeepSeekâs DeepSeek-R1 last weekâboth of which are competing against OpenAIâs o1 model (released in September)âGoogleâs research lab, DeepMind, is now (reportedly) developing its own AI model with advanced reasoning capabilities.
đ Key Points:
The new model will âself-reasonâ 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 âchain-of-thought promptingâ (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).
đ€Â 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 âAlphaProofâ in July, which specializes in Math reasoning, and in May, at its developer conference, revealed âAstraâ, an AI assistant that uses a phoneâs camera to âseeâ and answer questions, showing the progress it had already made in advanced reasoning.
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The AI consulting market is about to grow by a factor of 8X â from $6.9B to $54.7B in 2032.
But how does an AI enthusiast become an AI consultant?
How well you answer that question makes the difference between just âhaving AI ideasâ and being handsomely compensated for your contribution to an organizationâs AI transformation.
Thankfully, you donât have to go it alone â our friends at Innovating with AI have welcomed 300 new students into The AI Consultancy Project, their new program that trains you to build a business as an AI consultant.Â
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The Stanford Institute for Human-Centered AI has updated the âThe Global Vibrancy Toolâ (first released in 2017) which measures a countryâs AI ecosystem to establish who the global leader in AI is.
The tool aggregated and analyzed data from 42 key AI-specific indicatorsâincluding research papers, private funding, and patentsâfrom across 36 countries, and found that the US is leading the AI race, by a wide margin.
Behind the US was Chinaâwhich has fallen significantly behind because the US has attracted more private funding and produced more ML models (although China does have more AI patents)âand in third place, was the UK.
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Until next time, Martin & Liam.
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