Cerebras CEO Andrew Feldman briefly remarks on company going public at Supernova 2026 event
“going public is a truly extraordinary event. It allowed me to see engineers I've been working with for 20 years.”
Every signal tracked from the world's AI conferences — 4,665 talks, quotes & announcements, newest first.
Cerebras CEO Andrew Feldman briefly remarks on company going public at Supernova 2026 event
“going public is a truly extraordinary event. It allowed me to see engineers I've been working with for 20 years.”
Microsoft QDK now ships with deep GitHub Copilot integration across quantum development features
“Deep GitHub Copilot integration across all of these features for AI development, service management, and much more.”
Memory prices up 500% in 12 months as hyperscalers lock in all 2027 DRAM production capacity
“Some are calling it the RAMpocalypse; I prefer "RAMageddon."”
Replit launches Free Mode powered by GPT-5.6 Luna removing token cost barriers
Databricks launches Document Intelligence for extracting data from unstructured enterprise documents.
Chess.com CEO built a billion-dollar company by ignoring all conventional startup advice
“People should listen to their heart and listen to like what they want to do and they should think of what do they want to see exist out there in the world and then they just relentlessly go after that.”
Model routing is now a critical AI deployment strategy driven by frontier cost and open-weights competition
“A big goal of Glean is to avoid using LLMs for tasks where we don't need them. Sometimes you'll see queries in Glean where people are adding two numbers or multiplying two numbers. They could have used a calculator to do that.”
Mojo programming language goes open source under Apache 2 after shipping 1.0
“Mojo may or may not evolve into a full superset of Python, and it's okay if it doesn't.”
White House OSTP director frames US AI regulatory environment as critical to American global leadership
“American leadership in these emerging technologies is one of the most critical questions of our time for the American people to have all these benefits that AI is going to offer. We have to make sure that we have regulatory environment that allows that that succeed.”
NVIDIA RTX Spark brings full AI and gaming GPU to ultra-portable laptops this fall
“This is going to unlock agentic workflows that just weren't possible on any PC from the past.”
OpenAI launches initiative to strengthen democratic oversight of AI in national security
Amazon Bedrock AgentCore payments reaches GA, enabling agents to autonomously pay for APIs and services
Hugging Face published guidance on memory requirements for AI agents
NVIDIA ALCHEMI Toolkit uses AI coding agents to democratize atomistic materials simulation
Reactor is building infrastructure to make video programmable and interactive in real time
“what happens when video becomes programmable like software”
Amazon Quick embedded chat now supports visual theming and brand voice customization for web apps
AWS multi-agent Bedrock system uses Claude Haiku 4.5 to outperform single-model insurance document classification
“In our testing, single-model approaches struggled with edge cases and complex documents that require both textual and visual analysis.”
Jumio built a sub-100ms real-time feature store on AWS for fraud detection ML models
AWS AIDA uses metadata-filtered RAG in Bedrock Knowledge Bases to improve enterprise contract search accuracy
Krea trained K2 image model from scratch on thousands of GPUs, now open source
“the whole idea was to like kind of bridge the gap between like LLM research and diffusion transformers”
NVIDIA enables massive-scale UMAP dimensionality reduction on multiple GPUs without accuracy loss
uRun's Helios model generates video at 1/100th the cost of frontier models with comparable quality
“at least 40 models with real-time capabilities and long horizon generation capabilities released this year”
Axonius deployed secure multi-tenant AI agents on AWS Bedrock AgentCore using silo architecture
LangChain launches tuned evaluators that beat frontier models on agent evals at lower cost
“our post-trained perceived error evaluator outperformed all frontier closed and open models, while still remaining the most cost-effective”