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Monday’s top story: OpenAI is funding a research project aimed at developing AI that can make moral judgments.

🏆 To secure B2B deals across all industries and categories, try Substrata.

🌤️ This Morning on AI Tool Report

1. 🤔 OpenAI funds AI with morals?

2. 🏆 How to land B2B deals 3X quicker with Substrata

3. 🌟 Anthropic’s $4B Amazon boost

4. 💼 How to become an AI Consultant with Innovating with AI

5. 🥇 How to beat the competition using ChatGPT

6. 🧠 Anthropic and Amazon take on NVIDIA

Read Time: 5 minutes

FACT OF THE DAY

🤔 According to Forbes, most decision-makers in B2B organizations are still underutilizing insights from data—preferring to rely on gut instinct, rather than data analytics—even though it’s been confirmed that those who do leverage data to make business decisions outperform their competitors. 

STOCK MARKETS

👀 Keep track of all the latest updates in the AI stock market, here.

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ETHICS

🤔 OpenAI funds AI with morals? 

Our Report: OpenAI has given a North Carolina University funding for a research project to build and train AI algorithms that can understand, precinct, and make human-like moral judgments and decisions in conflict-heavy situations in areas like health, law, and business.

🔑 Key Points:

• OpenAI has awarded several professors at Duke University $1M in grant funding—spread out over three years—to complete a project (titled Research AI Morality), which studies the “making of moral AI.”

• Two of the project’s lead professors—Walter Sinnott-Armstrong and Jana Borg—have both previously published studies about AI’s ability to be a “moral GPS” to help humans make better judgments.

• To back their research, they looked at when AI would make better moral judgments over humans and developed an algorithm to help doctors decide which patients should ‘morally’ get a kidney replacement first.

🤔 Why you should care: This comes after the nonprofit ‘Allen Institute for AI’ built ‘Ask Delphi’ in 2021, which was trained to deliver ethical responses—such as explaining that cheating in an exam was morally wrong, for example—but because it was a statistical machine (like most ML models) and was trained on data from across the web, it’s predictions tended to reflect Westernized, educated, and industrialized viewpoints, which made its responses biased, unreliable, and sometimes even unethical, which is a challenge that these professors will need to overcome, along with their own personal views on what ‘morality’ is, at it’s highly subjective and different for everyone.

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TOGETHER WITH SUBSTRATA

How to Use Social Signal Intelligence to Land B2B Deals 3X Quicker

Complex deals are often affected by office politics, hierarchies, egos, emotions, attitudes, and power dynamics.

Using Substrata can significantly increase the chances of securing B2B deals across many industries and categories.

Substrata has developed dozens of specialized AI models to help dealmakers navigate the subtle "social dance" between sellers and prospects:

• Analyze any prospect's LinkedIn profile to extract their natural personality structure and tendencies

• Monitor your prospects' fluctuating levels of interest (Signals)

• Analyze any thread or message to determine real sentiment and the relative balance of power

• Simulate message drafts before sending them to eliminate potential risks or issues

• Optimize responses, follow-ups, and more

• Track your and your team's ongoing performance

Substrata uses Social Signal Processing (SSP), which is a specialized AI domain that deals with the detection, analysis, and synthesis of behavioral data from digitally mediated human-human interactions, such as B2B dealmaking, sales, and HR interviews.

It encompasses both verbal and nonverbal data.

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FUNDING

🌟 Anthropic’s $4B Amazon boost

Our Report: Amazon has invested a further $4B into AI start-up, Anthropic (the makers of ChatGPT rival, Claude), after it invested $2.75B in March and $1.25B in September 2023, taking the total amount of funding to $8B.

🔑 Key Points:

• Alongside the $8B, Amazon announced that Amazon Web Services (AWS) will become Anthropic’s “primary training partner,” meaning they will use AWS’s infrastructure to train and deploy future AI models.

• They also confirmed that Anthropic would use Amazon’s in-house Trainium AI chips to handle AI workloads and improve customer applications, powered by Claude (more on this below).

• Both parties are excited about the collaboration, with Amazon “impressed” by Anthropics “pace of innovation” and Anthropic feeling grateful, as it’s brought “Claude's capabilities to many Amazon customers."

🤔 Why you should care: This fresh injection of capital into the burgeoning startup comes as Amazon—who was under investigation for its ‘partnership’ with Anthropic, and the effect it could have on fair competition—was recently cleared by the UK’s competition watchdog, who stated that the relationship didn’t warrant deep scrutiny under local merger laws.

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TOGETHER WITH INNOVATING WITH AI

💼 Want to build a 6-figure business as an AI Consultant?

The AI consulting market is about to grow by a factor of 8X – from $6.9 B 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 have welcomed 300 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 a reader of AI Tool Report, you get early access to the next enrollment cycle.

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Monday’s Prompt: How to beat the competition using ChatGPT

Type this prompt into ChatGPT:

Results: After typing this prompt, you will get a strategy that will position your product against your competitors, across multiple advertising channels.

P.S. Use the Prompt Engineer GPT by AI Tool report to 10x your prompts.

💻️ How Asana Reclaimed 26,388 Focus Hours

• Asana’s engineering team was spread out, over 11 offices, meaning frequent meetings were needed, making it hard for them to complete deep work.

• They tried an AI-powered meeting scheduler—Clockwise—that automatically optimized meeting times to preserve blocks of focused work.

• Clockwise used machine learning algorithms and picked up common work patterns to replace inefficiencies in the team’s calendar.

• As a result, the engineering team gained over 26,388 hours of focus time, and over 17,000 conflicts were resolved.

Subscribe to The AI Report for the full story and more premium insights and tactics!

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AI CHIPS

🧠 Anthropic and Amazon take on NVIDIA

• As reported above, Amazon has invested $4B into Anthropic and confirmed that Anthropic would also be using its own, home-grown AI chips—Trainium2—to power its AI model, Claude.

• But alongside this, Anthropic will also work closely with Amazon’s chip design and manufacturing division—Annapurna Labs—to develop the next generation of Trainium: Trainium3.

• The collaboration aims to create a chip that can 'extract maximum computational efficiency from hardware and use this to train state-of-the-art models’ therefore, reducing reliance on NVIDIA.

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Until next time, Martin & Liam.

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