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- š¤ OpenAIās āGPTā Improvements Are Slowing Down
š¤ OpenAIās āGPTā Improvements Are Slowing Down
PLUS: a16z General Partner Says AI Regulations Focus on Fantasy, Not Reality, Nvidia Unveils Robotics AI Toolkit
Welcome back AI enthusiasts!
In todayās Daily Report:
āļøOpenAIās āGPTā Improvements Are Slowing Down
ša16z General Partner Says AI Regulations Focus on Fantasy, Not Reality
š¦¾Nvidia Unveils Robotics AI Toolkit
š Trending Tools
š°Funding Frontlines
š¼Whoās Hiring?
Read Time: 3 minutes
šRECENT NEWS
OPENAI
āļøOpenAIās āGPTā Improvements Are Slowing Down
Image Source: Canvaās AI Image Generators/Magic Media
According to The Information, OpenAI is reportedly exploring new dataset creation methods as āGPTā improvements slow down.
Key Details:
Employees who tested OpenAIās next flagship AI model, codenamed āOrionā or āGPT-5,ā claim it displayed less impressive improvements than they saw between āGPT-3ā and āGPT-4.ā
In response, OpenAI has created a Foundations Team to figure out how the company can continue improving AI models despite the lack of new training data.
All high-quality data could be exhausted by 2026. So, Tech Giants are searching for real-world videos to continue training their AI models.
OpenAI is reportedly using āOpenAI o1ā to generate high-quality synthetic training data (i.e., artificially created information) for āOrion.ā
A lack of training data could cause Overfitting in AI models, which occurs when AI models learn the training data too well, leading to poor performance on unseen data.
Why Itās Important:
During a Y Combinator fireside chat, OpenAI CEO Sam Altman boldly stated that Artificial General Intelligence (AGI) is coming in 2025. However, the companyās employees claim the ārapid pace of innovationā is slowing down.
Experts believe Large Language Models (LLMs) arenāt the true path to AGI because of their overreliance on data, lack of self-awareness, and lack of real-world understanding.
AI REGULATIONS
ša16z General Partner Says AI Regulations Focus on Fantasy, Not Reality
Image Source: TechCrunch/YouTube/Tech Crunch Disrupt 2024/āWhy AI Regulation Is Every Startupās Businessā/Screenshot
At TechCrunch Disrupt 2024, a16z General Partner Martin Casado discussed why so many AI regulations are so wrong.
Key Details:
Andreessen Horowitz (a16z) is a Venture Capital (VC) firm that invests in technology startups in exchange for equity (i.e., āownershipā).
Casado leads the VC firmās $1.25 billion infrastructure practice. Notably, heās invested in ActionIQ, Ambient.ai, Braintrust, Coactive, and Ideogram.
āI think weāre a little bit early,ā he said. āWe need to understand what weāre going to regulate.ā
Casado believes AI hasnāt matured enough to regulate it. āHow can we regulate something we donāt understand yet?ā
āHave you actually seen the definitions for AI in these policies? Like, we canāt even define it,ā he said.
āLike, how is AI today different than someone using the Internet? If weāve got a framework for how itās differentā¦we can apply policies that address those differences,ā he said.
Casado and several Silicon Valley founders rejoiced when California Governor Gavin Newsom vetoed āSB 1047,ā a law that put a kill switch into AI models to turn them off at any moment.
Why Itās Important:
During the PC Revolution, many experts feared job loss, social unrest, and even the end of humanity. However, this fear didnāt lead to robust regulations of PCs before they caused harm.
If not for the patience of regulators in the 1980s resisting the urge to vet each PC, we may not have had widespread, affordable PCs in our homes as quickly as we did.
šØWatch Casadoās discussion on AI regulations here.
š©ŗ PULSE CHECK
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NVIDIA
š¦¾Nvidia Unveils Robotics AI Toolkit
Image Source: NVIDIA/YouTube/āThe Next Wave of AI: Physical AIā/Screenshot
Nvidia unveiled a Robotics AI Toolkit to help developers accelerate their AI-enabled robotic workflows. It includes the general availability of NVIDIA Isaac Lab and six new robot learning workflows for Project GR00T.
NVIDIA Isaac Lab is a robot learning framework built on NVIDIA Omniverse, a platform to design, develop, and deploy Physical AI, which refers to AI applications that interact with the physical world.
Project GR00T is a multimodal AI system designed to equip humanoid robots with the ability to understand natural language and emulate human movements by observing human actions.
The six new Project GR00T workflows include:
GR00T-Gen: Create diverse, realistic digital environments for training robots.
GR00T-Mimic: Equips robots with imitation learning to observe human behavior.
GR00T-Control: Ensures the robotās limbs and joints work in harmony.
GR00T-Mobility: Empowers robots to move efficiently through various terrains.
GR00T-Dexterity: Enables robots to interact with delicate items.
GR00T-Perception: Enables robots to perceive their surroundings through multiple sensors.
š TRENDING TOOLS
š©PromptQL builds AI assistants on your data.
šŖCopilotKit creates AI copilots for your products.
š§©SheetAI automates, analyzes, and creates in Google Sheets.
šGraphy enables anyone to become a skilled data storyteller.
šPaperGen generates well-structured, long-form papers with fully referenced citations.
š®Browse our always Up-To-Date AI Tools Database.
š°FUNDING FRONTLINES
ActorShield raises a $3M Seed Fund to protect actors from AI deepfakes.
UnifyApps grabs a $20M Series A to help companies adopt AI applications.
Cloverleaf AI secures a $2.8M Seed Fund to uncover qualified government leads before anyone else.
š¼WHOāS HIRING?
Cultivarium (Watertown, MA): AI Software Engineer Intern, Summer 2025
Skydio (San Mateo, CA): Embedded Software Engineer Intern, Summer 2025
Rivian (Palo Alto, CA): Software Engineering Intern, Autonomous Features, Systems Engineering, Summer 2025
Nvidia (Santa Clara, CA): AI Software Engineer, AI Copilots, New College Grad 2024
Synechron (New York City, NY): Technical Business Analyst, Early Career
š¤PROMPT OF THE DAY
CUSTOMER COMPLAINTS
š£Common Customer Complaints
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šFINAL NOTE
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