Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance
Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.Read More
GEPA optimizes LLMs without costly reinforcement learning
Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.Read More
TensorZero nabs $7.3M seed to solve the messy world of enterprise LLM development
TensorZero raises $7.3 million to build an open-source AI infrastructure stack that helps enterprises scale and optimize large language model (LLM) applications with unified tools for observability, fine-tuning, and experimentation.Read More
The looming crisis of AI speed without guardrails
The future will arrive with or without our guardrails. We must design AI’s structures now for a future of abundance rather than disruption.Read More
We Live in an AI-First World
Technology has always shaped how we interact with information, with each era defined by a clear “first.” In the early days, the web and desktop computer were the center of digital life, guiding how we worked, learned, and connected. Then came the smartphone revolution,...
The Download: pigeons’ role in developing AI, and Native artists’ tech interpretations
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Why we should thank pigeons for our AI breakthroughs
People looking for precursors to artificial intelligence often point to science fiction by...
Why we should thank pigeons for our AI breakthroughs
In 1943, while the world’s brightest physicists split atoms for the Manhattan Project, the American psychologist B.F. Skinner led his own secret government project to win World War II.
Skinner did not aim to build a new class of larger, more destructive weapons. Rather, he wanted to...
Teaching the model: Designing LLM feedback loops that get smarter over time
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.Read More
Vibe Coding is Shoot-and-Forget Coding
TL;DR Vibe coding is great for quick hacks; lasting software still needs real engineers.
Vibe coding, the trend of using AI to generate code by describing what you want in natural language, has been hailed as the future of programming. Coined by AI pioneer Andrej...
This researcher turned OpenAI’s open weights model gpt-oss-20b into a non-reasoning ‘base’ model with less alignment, more freedom
Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.Read More