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Monday’s top story: A lack of real-world data is slowing the progress of OpenAI’s new, upcoming AI model, Orion.
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🆘 OpenAI in data crisis?
💼 How to become an AI Consultant with Innovating with AI
✋ TSMC banned from exporting AI chips
📰 How to get daily AI audio newsletter roundups with Meco
✍️ How to become a technical writer using ChatGPT
🤖 Salesforce’s hiring spree to sell AI agent
👋 OpenAI loses another key safety exec
Read Time: 5 minutes
FACT OF THE DAY
🤔 According to AI customer service platform, Tidio, 36% of customers say that chatbots influence their buying decisions, 37% ‘mostly trust’ what they tell them, and 98% consider chatbots helpful.
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Our Report: OpenAI employees testing the new AI model ‘Orion’ have disclosed that while its overall performance is better than OpenAI’s existing models, the rate of improvement is much lower than it’s been in past upgrades—like the jump in improvement from GPT-3 to GPT-4, for example—and it might not be consistently better in specific areas like coding and completing complex reasoning tasks.
🔑 Key Points:
The issue is (across the entire industry) there’s a lack of new, high-quality, diverse training data to expand the AI model's understanding, so to overcome this, OpenAI has formed a foundations team.
The team is trialing using synthetic data—artificial data produced by AI models—alongside real-world data, as it could introduce new layers of variability and nuance, improving the model's ability to handle complex scenarios.
Post-training, they're also planning to use techniques like reinforcement learning and fine-tuning on specific tasks, to address performance gaps that real-world and synthetic data isn’t enough to fill.
🤔 Why you should care: The slowdown in AI model improvement due to a lack of untapped, real-world, quality training data is affecting the entire AI industry, and the limitations of this data shortage are raising concerns over the future of AI advancements and the ability of AI models to reach their maximum potential, so many will be looking to see if OpenAI’s approach of using synthetic data and post-training techniques will work and continue to drive the AI industry forward.
TOGETHER WITH INNOVATING WITH AI
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Our Report: The US Department of Commerce (DoC) has imposed restrictions on Taiwan Semiconductor Manufacturing (TSMC), stopping them from exporting advanced AI chips to China to develop AI applications that could threaten US security.
🔑 Key Points:
The DoC has placed this restriction on TSMC after it discovered TSMC AI chips were integrated into one of China’s most advanced AI chips, produced by Huawei, which is already on the USA’s trade blacklist.
They’re growing increasingly concerned that Huawei might be trying to circumvent existing trade controls, violating existing export regulations designed to limit China’s AI advancement.
These restrictions are set to take effect from November 11, and TSMC has already informed its Chinese customers, which could create major disruption for China’s advancing AI industry.
🤔 Why you should care: This latest export restriction comes after the DoC recently placed similar restrictions on other AI chip makers, like NVIDIA and AMD, to limit the export of AI chips and manufacturing equipment to China to control China’s AI advancement, further escalating the battle between the two global superpowers, with newly re-elected Trump expected to inflict more sanctions against China and other competing countries to halt the advancement in AI.
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Type this prompt into ChatGPT:
Results: After typing this prompt, you will get an easy-to-understand, step-by-step article or guide, written in the style of a technical writer, on how to perform specific technical tasks.
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Salesforce is planning to hire over 1,000 employees to sell its new AI agent tool—Agentforce—which enables companies to deploy autonomous agents to complete tasks without human intervention.
Launched last month, Agentforce can perform multiple roles and enhance employee productivity by responding to changes in data, business rules, automation, or signals from external systems, autonomously.
Salesforce is capitalizing on the “amazing momentum” for Agentforce, which has received glowing feedback as the “highly customizable agent” can be adapted to meet individual business needs.
OpenAI has lost another key safety researcher—Lilian Weng, who was VP of Research and Safety—after working at the start-up for over seven years, she is “ready to reset and explore something new.”
Although she hasn’t specified what this “something new” is, she is “so proud of everyone on the Safety Systems” and what they have achieved, and is confident that the team will “continue thriving” after her exit.
This comes after a long line of AI safety researchers and executives—including former members of the disbanded superalignment safety team, Ilya Sutskever and Jan Leike—all quit, over safety concerns.
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