MONTREAL — The next advances in the capabilities of AI could well be made by AI itself, as tech giants and startups automate more machine learning research and development. Many firms are aiming for ...
A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi ...
I have summarized the Salesforce development-related blog posts that caught my attention from September 11, 2026, to October ...
A team of cybersecurity researchers has unveiled an artificial intelligence system that can take a stripped-down binary program, hunt for a memory corruption flaw inside it, and write a working ...
A new research paper posted to arXiv on September 14, 2026 is the clearest public evidence yet that Google DeepMind is actively working on systems that improve their own problem-solving strategies ...
Have you ever heard about the Immortal Snail? It’s an intermittently popular internet meme that goes something like this: You’re offered 10 million dollars. What’s the catch? A snail will spend the ...
Data centers, the windowless, anonymous, boxy structures that few people even notice, have become a rare unifying force across the polarized American landscape this year. Everyone seems to hate them.
All instances of "I" appearing below refer to the AI. This is a work log of the process I undertook after receiving ...
Notebooks consist of cells, which are individual blocks of code or text that can be run independently or as a group. %%pyspark Python Execute a Python query against Apache Spark Context. %%spark Scala ...
Anthropic reveals that Claude now writes over 80% of its production code, with engineers shipping 8x more code per quarter than in 2024. The company’s new Anthropic Institute paper maps the path to ...
Vercel Workflows is the easiest way to write long-running, durable, reliable, and observable agents and backends. The gap between prototypes and production-ready systems is huge. Code that's trivial ...
Creating self-improving AI systems is an important step toward deploying agents in dynamic environments, especially in enterprise production environments, where tasks are not always predictable, nor ...