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🔓 Thursday’s AI Report:
🧑⚖️ OpenAI accused of defamation
📷 In partnership with Aragon.ai
🔔 Fei-Fei Li’s critical AI warning
🫰 OpenAI launches most expensive model yet
💼 In partnership with Innovating with AI
⚙️ Trending AI Tools
🏗️ Practical AI Applications
📑 Recommended Resources
Read Time: 5 minutes
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🚨 THE AI REPORT PODCAST: NEW EPISODE DROPS TOMORROW! 🚨
The latest episode of the AI Report podcast drops tomorrow, where Liam interviews Nicholas Verity, The CEO of Cleverly (which uses AI to land leads and meetings on LinkedIn) about the limitations of AI in sales, using AI to manage high client volume, and the evolution of lead generation, thanks to AI.
🔥 Catch it in tomorrow’s newsletter!
📈 AI STOCK TRACKER
The US tech sector experienced a significant rally, with the Nasdaq Composite rising 1.4%, driven by gains in major companies such as NVIDIA and Tesla, following the Federal Reserve's decision to maintain current interest rates and signal potential rate cuts later this year.
LATEST IN AI
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🧑⚖️ OpenAI accused of defamation
🚨 Our Report — OpenAI is facing yet another privacy complaint from the European privacy advocacy group—Nyob—after ChatGPT produced incorrect, “defamatory,” and potentially damaging information about a Norweigan user.
🔓 Key Points:
Norwegian user, Arve Hjalmar Holmen, was horrified to discover that ChatGPT returned false information, incorrectly claiming that he’d been convicted of murder and sentenced to years in prison.
Noyb has since filed a complaint that ChatGPT has violated the EU’s General Data Protection Regulation (GDPR), arguing that “Personal data has to be accurate..if it’s not, users have the right to have it changed.”
This is the 2nd complaint they’ve raised about ChatGPT’s hallucinations, believing that showing users a “ChatGPT can make mistakes” disclaimer isn’t good enough, nor is offering to block certain responses.
🔐 Relevance — If OpenAI is found guilty of breaching GDPR laws, it could face penalties of up to 4% of its global, annual turnover and could also be forced to change its AI models, as it found in 2023 when an Italian data protection watchdog temporarily blocked ChatGPT and fined it €15M for processing data without proper consent.
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TOGETHER WITH ARAGON.AI
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🔔 Fei-Fei Li’s critical AI warning
🚨 Our Report — A US policy group (the Joint California Policy Working Group on AI Frontier Models) which is co-led by Fei-Fei Li—the Godmother of AI—has released a first-draft, 41-page report calling for AI regulation policymakers to consider AI risks that “have not yet been observed in the world.”
🔓 Key Points:
Governor Gavin Newsom (who vetoed the controversial SB 1047 AI safety bill last year) led the initiative, after acknowledging that, despite dismissing SB 1047, legislators needed a more detailed assessment of AI risks.
The report campaigns for regulations that would require tech companies to disclose what they are building and submit their safety tests, data-acquisition practices, and security measures.
It also calls for better standards for the evaluation of safety and company policies by third parties, and increased whistleblower protections for employees and contractors working for AI firms.
🔐 Relevance — While the final version of the report will not arrive until June, it’s already been well-received by experts—even those who fear too much regulation will stifle innovation and harm America’s competitive edge in the global AI race—believing it’s a promising step forward for AI safety regulation and builds upon “conversations around AI governance that began in 2024.”
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🫰 OpenAI launches most expensive model yet
After “getting many requests from our developer community,” OpenAI has launched o1-pro which uses more computing than o1 “to think harder” and provide “consistently better” responses to complex problems.
OpenAI is so convinced that o1-pro’s improved performance means developers will willingly pay $150 for every 750,000 words they input into the model, which is 2x the price of GPT-4.5 and 10x the price of o1.
However, early testers found that it struggled with math puzzles and jokes, and internal benchmarks revealed that it performed just slightly better than o1 on math and coding problems, although it was more reliable.
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TOGETHER WITH INNOVATING WITH AI
💼 Want to become an AI Consultant?
The AI consulting market is about to grow by a factor of 8X – 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 “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 600 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 The AI Report, you get early access to the next enrollment cycle.
TRENDING AI TOOLS
ChatNode is for building custom, advanced AI chatbots that enhance customer support and user engagement ⭐⭐⭐⭐⭐ / 5 (Product Hunt)
Aldea Catalyst validates business ideas with AI-driven insights
Typoro is an AI writing tool that crafts engaging LinkedIn posts
PRACTICAL AI
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Prompt InspirationAfter typing this prompt, you will get a comparison chart comparing the features and benefits of your products against those of your competitors. P.S. Use the Prompt Engineer GPT by The AI Report to 10x your prompts. |
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RECOMMENDED RESOURCES
STARTUPS
Name: PhotoPrism
Funding raised: Bootstrapped
PhotoPrism is an AI-powered photo management app that leverages AI for facial recognition, object detection, and scene recognition and uses a unique AI algorithm to automatically tag and find photos based on their content, location, and time.
PODCASTS
Optimizing for efficiency with IBM
We often judge AI models by leaderboard scores, but what if efficiency matters more? In this podcast, Kate Soule from IBM discusses why AI makers should prioritize efficiency over improving benchmark test scores.
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