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Hello readers,
Welcome to another edition of This Week in the Future! Robotics company Figure showed off their Figure 01 humanoid engaging in conversation and following verbal instructions using GPT-4V. Plus, a new AI model named Devin has shook the coding world with its ability to build and debug software applications.
Let’s get into it!
GPT-4 Gets a Body
Robotics startup Figure, which recently raised $675M from the likes of OpenAI, Microsoft, and Amazon, has merged their humanoid robot Figure 01 with GPT-4V. The robot’s physical and conversational abilities were shown off in a demo, and it’s pretty awe-inspiring. Figure says the video was not sped up and that the robot was not preprogrammed. Its behaviors are learned. Figure appears to be ahead of their main competitor, Tesla’s Optimus.
Why This Matters
Robotics is having a moment. Once these units can walk like a human, converse with zero latency, and have a sleek shell, robotics will reach its ChatGPT moment. What we see now is only a glimpse of what may be possible. Capable humanoid robots would completely disrupt the global economy for better or worse. For that to happen, AI robots will need to understand the real world and be able to plan and reason. Models like GPT-4 may not be enough, but V-JEPA and Covariant’s new RFM-1 might get us closer.
Just Devin’
AI startup Cognition has unveiled Devin, which they’re saying is the world’s first fully autonomous AI software engineer. Devin was evaluated on the SWE-bench coding benchmark where it was challenged to solve real-world GitHub issues in open source projects. Here were the results:
Devin’s capabilities go well beyond that of GitHub Copilot. Cognition published several videos that showed Devin doing the following:
Our Take
Devin is clearly intended to be a full-on coworker that can handle the monotonous parts of software engineering while developers focus on more interesting and complex problems. As for Devin taking jobs, real-world software applications are so nuanced and require so many other skills than just coding to reliably manage that humans will remain heavily involved for quite some time. Devin is still early days.
🔥 Rapid Fire
OpenAI announces new board of directors
European Parliament approves EU AI Act
Cohere releases Command-R for enterprise RAG
Extropic emerges from stealth with thermodynamic AI chips
Cerebras unveils world’s fastest AI chip with 4 trillion transistors
Meta unveils its new generative AI infrastructure
Google DeepMind creates general AI agent for 3D environments
Microsoft Copilot for Security will soon be available
Deepgram introduces Aura for lightning fast conversational AI
Oracle adds new AI capabilities to Oracle Fusion Cloud
LlamaIndex launches first AI-native document parsing platform
Together AI introduces Sequoia for faster LLM inference
Databricks invests in Mistral AI and adds models to platform
🎙️ The AI For All Podcast
This week’s episode featured Maureen Metcalf, Founder and CEO of the Innovative Leadership Institute, who discussed how business leaders can guide their organizations through the age of AI. The conversation covers the complexities of digital transformation, how AI can be utilized to enhance leadership skills, and precision leadership.
📖 What We’re Reading
Repackaging CPG: Can AI Help Futureproof the Industry? (link)
“More than two-thirds (69%) of CPG manufacturers planned to increase AI investments over the last year (second only to food and beverage manufacturers at 74%). And they have high hopes for those investments: when asked which production goals they believe AI can help them achieve, CPG leaders listed workforce, capacity, and yield/throughput issues.”
Implementing generative AI with speed and safety (link)
“In a recent flash survey of more than 100 organizations with more than $50 million in annual revenue, McKinsey finds that 63% of respondents characterize the implementation of gen AI as a high or very high priority. Yet 91% of respondents don’t feel very prepared to do so in a responsible manner.”
💻️ AI Tools and Platforms
Reporfy → Create AI-powered reports
Patronus AI → Detect LLM mistakes at scale
Klaviyo → AI-powered marketing platform
PipeLime → AI sales funnel automation
Chatsimple → AI chatbot for your business
AI: Balancing Risk and Return
Innovative technologies are revolutionizing business as we know it, and they’re more accessible than ever. But to truly harness the transformative potential of AI, you need to know how and when to use it. And which pitfalls to avoid.
The six-week Artificial Intelligence: Implications for Business Strategy online short course from MIT Sloan School of Management and MIT Computer Science and Artificial Intelligence Laboratory explores AI’s business applications and challenges.
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Conveniently build career-critical skills: Follow a program that fits your schedule and benefit from 24/7 support and various payment options.