Thanks for the feedback Joel. Seeing all five technologies side by side really highlights how fast chip innovation is accelerating—and we’re only at the beginning.
I am the most excited about agentic AI, Petar. I guess everyone is this year, haha. But really, my favorite mini AGI moment this year was probably using Manus to just run overnight and execute some admin tasks for me. It felt like magic. I am curious: how are small language and edge AI related? Kinda feels like they are meant for smaller devices/specific tasks. Or may be I am seeing a non-existent pattern.
Agentic AI has been a game-changer. As for Small Language Models and Edge AI, they actually go hand-in-hand. SLMs are designed to fit tight compute and memory limits, which makes them perfect for running directly on devices at the edge, giving you fast, private, and reliable AI without constant cloud calls.
Great post, it’s helpful to see it all together. The exponential growth in chip development continues to amaze me. Well done!
Thanks for the feedback Joel. Seeing all five technologies side by side really highlights how fast chip innovation is accelerating—and we’re only at the beginning.
I am the most excited about agentic AI, Petar. I guess everyone is this year, haha. But really, my favorite mini AGI moment this year was probably using Manus to just run overnight and execute some admin tasks for me. It felt like magic. I am curious: how are small language and edge AI related? Kinda feels like they are meant for smaller devices/specific tasks. Or may be I am seeing a non-existent pattern.
Agentic AI has been a game-changer. As for Small Language Models and Edge AI, they actually go hand-in-hand. SLMs are designed to fit tight compute and memory limits, which makes them perfect for running directly on devices at the edge, giving you fast, private, and reliable AI without constant cloud calls.
Perfect so kind of really intertwined. Thanks for sharing Petar!