As a consumer (who loves tech), I have zero interest in this AI wearables category. As an investor, I would not invest in it. As someone who watches the AI tech space very closely, I’m curious, and admire their entrepreneurial spirit. But I think this product is dead on arrival.
AI HARDWARE
-
Next-Gen LLMs in Wearables vs Smartphone Integration Strategy
By
–
This product feels more like Alexa 1.0 with a camera, crappy projector and a “sound bubble.” Again, I could be completely wrong here. But I get the concept that next-gen LLMs in some wearable could be significant. Guess I still see a powerful LLM in my phone as the play.
-
Beyond Novelty: Finding Real Consumer Value in Wearable AI Devices
By
–
So you see a consumer market for these devices beyond a novelty? Right now I see them as creepy and redundant as consumer wearables. I could see arguments for fields like healthcare, but I still struggle to see the potential. What am I missing?
-
AI’s Massive Computational Requirements: 100 Million Times More
By
–
“When AI first started the work, it wasn’t like we needed 10 or 100 times more computation, we needed 100 million times more.”
– @jimkxa in the latest @ojoyoshida Report https://
ojoyoshidareport.com/behind-his-ill
ustrious-career-whos-jim-keller/
… -
Fine-tuning Domain-Specific LLMs with Intel Xeon Processors
By
–
This course offers training in fine-tuning domain-specific LLMs using cost-effective 4th gen Intel Xeon processors. It covers performance metrics and transformers/GPT model frameworks. It accentuates real-world application and hands-on learning of LLMs.
-
Scaling AI Training to 50,000 TPU v5e Chips
By
–
Just bookmarking this to read before the next time I need a training job to scale to more than 50,000 TPU v5e chips
-
MS Ignite 2026: Accelerated Computing for Enterprise Transformation
By
–
Join us at #MSIgnite from November 14-17 to discover the latest sessions and insights that will empower your enterprise with the transformative power of accelerated computing. Engage with industry experts, explore cutting-edge technology and more. https://
nvda.ws/3Qp9sw8 -
Cerebras Software 2.0: 50% Faster LLM Training and Diffusion Support
By
–
Cerebras Software Release 2.0 is here – it's our biggest sw release of 2023!
50% Faster training for LLM models PyTorch 2.0: new LTC/Torch-MLIR stack for expanded programmability Diffusion Transformers: image generation for the first time on CS-2 https://
cerebras.net/blog/cerebras-
software-release-2.0-50-faster-training-pytorch-2.0-support-diffusion-transformers-and-more
… -
NVIDIA AI Enterprise Releases Production Branches and Real-Time SDK
By
–
The latest version of NVIDIA AI Enterprise brings production branches, new features for cluster management, acceleration with the latest architecture, a new #AI SDK for real-time audio, video, and augmented reality effects, and more. Release notes: https://
nvda.ws/3sBzN21 -
Advantech Axelera AI showcase cutting-edge embedded IoT solutions
By
–
We will be attending the 2023 @Advantech_eIoT World Partner Conference in Linkou, Taiwan, from Nov 30 to Dec 2! Visit us at the Partner & Customer Showcase area to explore Advantech and Axelera AI's cutting-edge AI solutions and capabilities. https://
wpc.advantech.com/en-us/embedded
-iot
…