Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple of days, watching the developer keynote makes it seem like there’s a method to the madness. A coherent picture starts to …
Read more “Next 25 developer keynote: From prompt, to agent, to work, to fun”
It achieved an 8.0% higher win rate over DeepSeek R1, suggesting that its strengths generalize beyond just logic or math-heavy challenges.Read More
For the past three days, DOGE and a handful of Palantir representatives, along with dozens of career IRS engineers, have been collaborating to build a “mega API,” WIRED has learned.
It’s a game a lot of us played as children — and maybe even later in life: unspooling measuring tape to see how far it would extend before bending. But to engineer, this game was an inspiration, suggesting that measuring tape could become a great material for a robotic gripper. The grippers would be a …
Read more “A new robotic gripper made of measuring tape is sizing up fruit and veggie picking”
Anyone notice that this bill has been reintroduced? submitted by /u/Rough-Copy-5611 [link] [comments]
Be sure to check out the previous articles in this series: •
This research aims to comprehensively explore building a multimodal foundation model for egocentric video understanding. To achieve this goal, we work on three fronts. First, as there is a lack of QA data for egocentric video understanding, we automatically generate 7M high-quality QA samples for egocentric videos ranging from 30 seconds to one hour long …
Read more “MM-Ego: Towards Building Egocentric Multimodal LLMs”
Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours. On 256 Amazon EC2 P5 instances (p5.48xlarge, …
Read more “Reduce ML training costs with Amazon SageMaker HyperPod”
When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run inference of image-based models to serve over 250k images/day to power gen AI experiences, and Snap runs AI inference on …
Read more “New GKE inference capabilities reduce costs, tail latency and increase throughput”
DeepCoder-14B competes with frontier models like o3 and o1—and the weights, code, and optimization platform are open source.Read More