TOGETHER WITH SURFSHARK
Welcome to AI Tool Report!
Monday’s top story: Meta has revealed a new AI model that can assess and improve the accuracy of other AI models, without any human intervention.
🌤️ This Morning on AI Tool Report
💡Meta’s AI doesn’t need humans?
🧳 How to stay safe online when you travel
🚀 Funding for AI skyrockets!
💼 How to become an AI Consultant
👍 How to promote your brand internally using ChatGPT
📚 Major book publisher blocks AI
🧠 Ex-OpenAI leader raising $100M?
Read Time: 5 minutes
FACT OF THE DAY
🤔 In Greek mythology, the ‘Great Robots of Hephaestus’ could be considered modern-day robot prototypes, highlighting humanity’s age-old fascination with giving machines human intelligence and human-like attributes.
STOCK MARKETS
👀 Follow the link here to stay updated with the biggest AI-related moves in the stock market.
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ADVANCEMENTS
Our Report: Meta’s Fundamental AI Research (FAIR) department has released an AI tool—called the ‘Self-Taught Evaluator’—that can assess and improve the accuracy of other AI models, without any human intervention, potentially reducing the need for human involvement during the development of AI, in the future.
🔑 Key Points:
Meta introduced the ‘Self-Taught Evaluator’ in a paper that described how the model would follow the same "chain of thought" method that OpenAI’s o1 model uses, to ‘think’ before it responds.
The model self-generates different outputs from AI models, then uses another AI system to assess the accuracy and improve the outputs—particularly in science, coding, and math—to address inaccuracies.
FAIR researchers solely used AI-generated data to train the evaluator model—therefore removing the need for human input—and it reportedly performs better than models that rely on human-labeled data.
🤔 Why you should care: Experts believe that self-improving models, like Meta’s ‘Self-Taught Evaluator’ could reduce the need for expensive and inefficient processes that rely on human data experts who must label data accurately and verify answers to complex questions, manually (and are, therefore, prone to inevitable human error) and gives us a glimpse into a world where autonomous AI agents can learn from their own mistakes, and perform better than any human can.
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TOGETHER WITH SURFSHARK
Surfshark: The industry’s best value, fastest, most secure VPN
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Best-in-class, 24/7 privacy features including built-in ad-blockers, data breach alerts, AES-256 encryption, and malware protection, so your data remains secure
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And, at just $1.99p/m, Surfshark is 87% less when compared with other VPN providers.
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TRENDING TOOLS
ChatNode builds advanced AI chatbots that deeply understand your business, enhance customer support, and function as AI sales agents ⭐⭐⭐⭐⭐ / 5 (AppSumo)
ZenCall is an AI-powered virtual assistant that answers and makes calls
Job Hunt Mode is an AI-powered job-hunting platform
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FUNDING
Our Report: Venture Capitalists (VCs) invested $3.9B into AI start-ups, across 206 deals (not including OpenAI‘s history-making $6.6 funding round) in Q3, highlighting that investors remain confident about AI’s long-term growth prospects.
🔑 Key Points:
Out of the $3.9B, $2.9B went to US-based start-ups, most notably: coding assistant, Magic (which raised $320M), search provider, Glean (which raised $260M), and business analytics platform, Hebbia (raised $130M)
Although the US is clearly the frontrunner for funding the development of AI, China’s long-context AI, Moonshot AI, and Japan’s nature-inspired intelligence, Sakana AI, also secured funding, highlighting global interest.
Investor interest in generative AI isn’t slowing down either, as the viral voice-cloning tool, ElevenLabs is reportedly raising funds at a $3B valuation, and image generator BlackLabs is in a £100M funding round.
🤔 Why you should care: Despite the hype surrounding AI, there are concerns about misuse, inaccuracy, and legality, but VCs are betting that AI’s prospects outweigh its risks and that its long-term growth will not be affected by these challenges, which is something Forrester has backed, publishing statistics which predict that 60% of AI nay-sayers will start to use it, whether they realize it or not, by 2026.
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TOGETHER WITH INNOVATING WITH AI
The AI consulting market is about to grow by a factor of 8X – from $6.9B now, 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 “having AI ideas” and being handsomely compensated for your contribution to an organization’s AI transformation.
Thankfully, you don’t have to go it alone – our friends at Innovating with AI just welcomed 200 new students into The AI Consultancy Project, their new program that trains you to build a business as an AI consultant.
Some of the highlights current students are excited about:
The tools and frameworks to find clients and deliver top-notch services
A 6-month plan to build a 6-figure AI consulting business
Students getting their first AI client in as little as 3 days
And as an AI Tool Report reader, you get early access to the next enrollment cycle.
PROMPT ENGINEERING
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Monday’s Prompt: How to promote your brand internally using ChatGPT
Type this prompt into ChatGPT:
Assist in developing employee training and engagement programs to promote our brand internally
Results: After typing this prompt, you will get an employee training program that will help you promote your brand internally.
P.S. Use the Prompt Engineer GPT by AI Tool report to 10x your prompts.
ACTIONABLE INSIGHTS
It’s not too late! Join the AI Reports AI Skill Sprint on Skool and master 6 crucial AI skills in just 6 weeks…
✅ What You'll Learn: Course 2 is with entrepreneur, Louis Shulman, and he will take you through how and why you should leverage AI to draft, research, plan, analyze, and optimize newsletters, troubleshoot any tech issues, and use it to launch, grow, and maintain your newsletter following.
Connect with Louis here.
BREAKING NEWS
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PUBLISHING
One of the biggest global book publishers—Penguin Random House (PRH)—is adding an AI warning to its books’ copyright pages to stop AI companies from using its content to train their AI models.
New books and reprints will now include the statement: “No part of this book may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems.”
This marks the first time a major publishing house has stood up against AI firms that are taking material to advance their AI without consent or compensation, something that the media industry is also grappling with.
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STARTUPS
OpenAI’s former CTO—Mira Murati—who quit the company last month, is reportedly raising over $100M in VC funding for a new AI startup that’s focused on building AI products based on proprietary models.
Although Murati said that OpenAI had “fundamentally changed how AI systems learn and reason,” she stepped away from the company because she needed “time and space” to do her “own exploration.”
Murati was a key part of OpenAI—she was appointed interim CEO after current CEO (and co-founder) Sam Altman was briefly ousted by the board last year—and is one of several recent shock exits by key figures.
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Until next time, Martin & Liam.
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