Embra was one of the first AI Agents startups. Today, we are...

Embra was one of the first AI Agents startups. Today, we are renaming AI Agents to AI Commands, and narrowing our focus away from autonomous agents. While autonomous agents took off in popularity, we found they were often unreliable for work, inefficient, and unsafe. 🧵

Zach Tratar

twitter.com

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The idea is that humans will always remain in command. Essentially, it’s about setting boundaries, limits that an AI can’t cross. And ensuring that those boundaries create provable safety all the way from the actual code to the way it interacts with other AIs—or with humans—to the motivations and incentives of the companies creating the technology.... See more

Will Douglas Heaven • DeepMind’s Cofounder: Generative AI Is Just a Phase. What’s Next Is Interactive AI.

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From chatbot to agent-coworker

What could ambitious unhobbling over the coming years look like? The way I think about it, there are three key ingredients:

1. Solving the “onboarding problem”

GPT-4 has the raw smarts to do a decent chunk of many people’s jobs, but it’s sort of like a smart new hire that just showed up 5 minutes ago: it doesn’t have a... See more

SITUATIONAL AWARENESS - The Decade Ahead • I. From GPT-4 to AGI: Counting the OOMs

Max Beauroyre added

Autonomous AI agents could change the world, but what do they actually do well?

Sandhya Hegde unusual.vc

Darren LI added

Rebooting AI: Building Artificial Intelligence We Can Trust

Ernest Davis

amazon.com

Cover of Rebooting AI: Building Artificial Intelligence We Can Trust

Agents often lower the ceiling of what users can do. A lot of agents are explicitly trained to predict what people will want, or what will happen next, which encourages that which is average and predictable.

Saffron Huang • What is the point of making intelligent agents?

Kelly Kim added

Embracing Agentic AI: Empowering Artificial Intelligence as Active Agents

Eva Kaushik medium.com

MargaretC added

At the heart of agentic AI lies the concept of imbuing artificial intelligence systems with agency — the ability to act and perceive the world around them, much like human agents. Unlike traditional AI models that operate within predefined parameters and rules, agentic AI systems possess the autonomy to adapt to changing circumstances, respond to stimuli, and make decisions in real time. This fundamental shift from reactive to proactive AI marks a significant leap forward in the field, unlocking a multitude of possibilities across diverse domains

"In addition, there are problems that humans rather than computers will have to solve for purely practical reasons. It isn’t because computers couldn’t eventually solve them. It’s because in real life, and especially in organizational life, we keep changing our conception of what the problem is and what our goals are."

— Geoff Colvin, Human

Jason Shen • 131: How to Be Human in the Age of Generative AI

Jason Shen added

The two most important problems (at least how I am thinking about them currently), are:

Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .

Figuring out how you formally validate and verify... See more

Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]

Nicolay Gerold added