AI is moving quickly. 💨
Here are the highlights from the week that was in AI and Chipplandia and our spicy takes on what it actually means. 🌶️
It might be fun to highlight some of the chatter on video! Let’s try it. Here’s AI Desktop:
AI Highlights from Around the Web
Breaking Down AI Agents
Elvis shared a fantastic breakdown of how AI agents work in the real world. His eye-opening thread walks us through the complete lifecycle of AI agents - from how they plan and work together, to how they can stumble and what makes them truly effective.
Some key insights from his thread:
- AI agents need both smarts to plan and tools to act
- Teams of AI agents (multi-agent systems) handle complex tasks better than solo agents
- Agents can fail in different ways: bad planning, wrong tools, or just being too slow
- Success isn't just about getting things done - it's about doing them efficiently and reliably
🌶️ Agents is a broad term. My guess is everything - from workflows to automations to autonomous AI - will be called agents. It’s helpful to clarify what we need when we build AI so we pick the right tool for the job.
NVIDIA's Mind-Blowing Chip
Get this: NVIDIA just unveiled their GB200 NVL72 chip, packing 72 GPUs and 130 trillion transistors. As Nick Dobos points out, this shows we're just scratching the surface of what AI hardware can do.
🌶️ NVIDIA is offering everything from a small chip that will run an LLM without being connected to the Internet all the way up to the fastest chips man has ever seen. Expect the future development to continue to focus on fine-tuned chips that unlock even more power from AI.
Programmers in the Age of AI
Naval dropped a thought-provoking tweet about AI's impact on programming. Rather than replacing coders, AI will supercharge them - making it easier for developers to automate more tasks than ever before.
🌶️ Replacement is a consistent worry in teh world of AI - it’s helpful to reframe this to: how are you learning to utilize AI? If we worry less about being replaced and more about what we can build, we will create new jobs and new demand. Combining your expertise with AI is the key first step.
The AI Inflection Point
Ethan Mollick shared a research about AI's impact on different jobs. The study shows how AI initially boosts productivity (web developers saw a 65% increase!) but eventually reaches a "point of no return" for some roles (like translation, which dropped 30%).
🌶️ The tipping point for replacement will be different for every job, but as noted above, there is a long runway for most of us to get better, create more, and combine our expertise with AI. My bet: the increase in demand when we realize everyone should expect personalize software tuned to their knowledge will create a raft of new opportunities for builders, designers, writers, and anyone willing to build.
Chipp Highlights
Chippster Check-In
Our latest community check-in brought together builders from different industries sharing their AI solutions. We also revealed upcoming features that'll make building AI assistants even easier - from new integrations to enhanced memory capabilities.
Catch up on all the updates and community projects in our detailed recap.
Want to join the conversation? Our next check-in is Wednesday, January 22nd at 11 AM CT. Come see what's new, share your projects, and help shape the future of AI building.
Register here.
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