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OpenAI Project Strawberry 🟢

OpenAI's new model demonstrates advanced problem-solving through step-by-step reasoning, outperforming previous systems in complex tasks across multiple domains.

Today in AI

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What’s happening in AI right now

The rise of reasoning AI

The AI landscape is undergoing a significant transformation as researchers and tech giants shift their focus from raw computational power to more nuanced, reasoning-based models. This evolution marks a pivotal moment in the field, with implications that stretch far beyond academic circles.

OpenAI's quantum leap in reasoning 

OpenAI has recently unveiled its "o1" family of AI models, including o1-preview and o1-mini, which represent a quantum leap in AI reasoning capabilities. These models demonstrate performance comparable to doctoral-level students in STEM fields, showcasing their ability to tackle complex problems with a level of sophistication previously unseen in AI systems.

The o1 models excel in academic and professional domains, particularly in physics, chemistry, and biology. What sets them apart is their enhanced reasoning abilities and stronger safety protocols. This development signals a shift in AI research priorities, moving from scaling up model size to improving fundamental cognitive functions.

Google's fact-checking innovation

As AI models become more advanced, ensuring their accuracy and reliability becomes increasingly critical. Google has taken a significant step in this direction with DataGemma, an AI fact-checking tool designed to ground large language model responses in verifiable data. By using techniques like Retrieval-Interleaved Generation (RIG) and Retrieval-Augmented Generation (RAG), DataGemma cross-references AI-generated content with Google's Data Commons, aiming to reduce hallucinations and improve factual accuracy.

While still in its early stages and facing limitations in data availability and accuracy, DataGemma represents a crucial step toward creating more trustworthy AI systems. Its success could set new standards for fact-checking in AI and have far-reaching implications for industries relying on AI-generated content.

The AI "subconscious"

As we develop more sophisticated AI models, researchers are drawing intriguing parallels between large language models (LLMs) and human subconscious processes. The hidden layers within LLMs mirror aspects of human subconscious decision-making, employing probabilistic shortcuts similar to human heuristics.

This comparison offers fascinating insights into both artificial and natural intelligence. It highlights how AI can inherit biases from training data, influencing responses in ways reminiscent of human intuition. Moreover, understanding these "subconscious" processes in AI is crucial for ethical AI development and deployment.

The journey of AI development is far from over. As we continue to unravel the mysteries of machine intelligence, we may find ourselves gaining new insights into human cognition as well. The future of AI is not just about creating smarter machines, but about deepening our understanding of intelligence itself.

News roundup

The top stories in AI today.

NEW LAUNCHES

The latest features & products in AI innovation.

GADGETS

Computers, phones, wearables & other AI gizmos.

MODELS

Deployment, research, training, infrastructure

GOVERNMENT

Press releases, regulation, defense & politics.

ENTERTAINMENT

Content creation, movies, tv, music, gaming & sports

AI research changing the world

The latest breakthroughs and most pivotal papers — broken down in language anyone can understand.

Getting 26,500 LA City Workers to Get Al Training

The Information Technology Agency of LA has unveiled an ambitious plan to integrate Al across all city departments, potentially revolutionizing public service delivery for 4 million residents. At its core, the roadmap outlines a strategy to train over 26,500 city employees in Al, starting with a 3-month trial of Google Gemini Enterprise. But it's not just about efficiency-it's a blueprint for the future of urban governance. The plan addresses critical ethical concerns head-on, prioritizing responsible Al adoption to mitigate risks of bias, privacy breaches, and job displacement. By 2028, cities fully embracing this Al-driven approach could see a 15% reduction in traffic congestion and a 10% improvement in air quality. As Al becomes integral to city operations, it raises intriguing questions: How will this reshape the relationship between citizens and local government? Will it lead to more trust or skepticism? And as other cities inevitably follow suit, could we be witnessing the birth of a new era of hyper-efficient, Al-augmented urban centers?

The AI tool we’re loving right now

The best way to get AI literate? Try the tools!

BigVu

There’s no way around it — being a content creator, influencer or business leader these days requires publishing high-quality video content. That’s why BigVu is such a powerful tool. BigVu uses the power of AI to allow you traverse the entire lifecycle of video creation and publishing with some very cool features:

  • Eye contact correction

  • Subtitle & caption generation

  • Video-to-text transcription

  • Script generation

  • Teleprompter

  • AI voice changing & cloning

  • Background music generator

  • Post Scheduler

  • Landing page generator

  • And much more

The best part? CO/AI subscribers get access to a special discount when they sign up using the link below. Use our promo code MEHFIN63 at checkout to receive $20 off when you subscribe.

Want to learn how to use BigVu? Check out our tutorial here.

This week on the podcast

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