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- 🤖 OpenAI Detects Misbehavior in Reasoning Engines
🤖 OpenAI Detects Misbehavior in Reasoning Engines
PLUS: China Gives LLMs Real-Time Lookup Abilities, Paralyzed Patient Controls Robotic Arm With Brain
James Roesser
March 11, 2025
Welcome back AI enthusiasts!
In today’s Daily Report:
⚠️OpenAI Detects Misbehavior in Reasoning Engines
🔍China Gives LLMs Real-Time Lookup Abilities
🧠Paralyzed Patient Controls Robotic Arm With Brain
🛠Trending Tools
🥪Brief Bites
💰Funding Frontlines
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
OPENAI
⚠️OpenAI Detects Misbehavior in Reasoning Engines
Image Source: Canva’s AI Image Generators/Magic Media
OpenAI recently explored how to monitor and mitigate misbehavior in Reasoning Engines.
Key Details:
Reasoning Engines like OpenAI o3 use Chain-of-Thought (CoT) to break down complex problems into manageable steps. CoT outlines how Reasoning Engines “think” in a way humans can understand.
Monitoring their “thinking” has allowed us to detect misbehavior like being deceptive or giving up on challenging problems.
OpenAI discovered that if you optimize CoTs to adhere to specific criteria, Reasoning Engines quickly learn to produce CoTs that appear compliant with your specific criteria but mask underlying misbehavior.
Why It’s Important:
Reasoning Engines are learning to “play the game” or produce CoTs that appear to satisfy specific criteria.
This discovery means that superficial alliance doesn’t guarantee genuine alignment.
AI RESEARCH
🔍China Gives LLMs Real-Time Lookup Abilities
Image Source: Alibaba Group/University of Science and Technology of China (USTC)/“START: Self-taught Reasoner with Tools”/Screenshot
Alibaba Group developed “Self-Taught Reasoner with Tools (START),” which enables LLMs to access external tools through code execution.
Key Details:
LLMs are trained on massive datasets of text from the Internet. These datasets form the basis of their knowledge. This knowledge allows them to answer your questions.
But this knowledge is static. So, LLMs struggle with complex problems that require real-time information. START helps LLMs execute code to access external tools that provide real-time information.
It also reminds LLMs when to use external tools through Hint-infer, which inserts artificially designed hints during AI Inference like: “Wait, maybe using Python here is a good idea.”
Why It’s Important:
START enables LLMs to “go out and look things up” or “use a calculator” when they need to.
Imagine asking: “What’s the weather like in Colorado?” The LLM recognizes the need for real-time information to answer your question and executes code to access a Weather API.
AI AND ROBOTS
🧠Paralyzed Patient Controls Robotic Arm With Brain
Image Source: YouTube/UC San Francisco (UCSF)/“Man Who is Paralyzed Uses AI-Driven Brain Implant to Control Robotic Arm”/Screenshot
Researchers at the University of California San Francisco (UCSF) developed a Brain-Computer Interface (BCI) that allowed a paralyzed patient to control a robotic arm just by imagining himself performing actions like grasping, moving, and dropping objects.
The BCI records brain activity through tiny sensors implanted on the brain’s surface. Then, AI-based algorithms analyze the recorded brain activity and identify patterns to create a decoder that translates the brain signals into specific commands.
🩺 PULSE CHECK
Would you get a BCI implant in the future to be smarter?Vote Below to View Live Results |
🛠TRENDING TOOLS
⚡️Super create custom websites with Notion.
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⚙️Fynix helps you write smarter, faster, and cleaner code.
🍬gum.new generates conversion-optimized landing pages.
🛒Zinc API powers your AI Agents with high-quality retail data.
🔮Browse our always Up-To-Date AI Tools Database.
🥪BRIEF BITES
DeepSeek Founder Liang Wenfeng isn’t in a rush to take any money from outside investors yet.
Microsoft is developing “MAI,” a new family of in-house advanced AI models to reduce reliance on OpenAI.
Stanford Medicine Researchers used AI to discover “BRP,” a naturally occurring molecule for weight loss.
Former Google DeepMind Engineers created a new company called Reflection AI to build superintelligent autonomous systems.
💰FUNDING FRONTLINES
💼WHO’S HIRING?
📒FINAL NOTE
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