Rethinking software security from first principles in the age of AI
AI agents are compressing vulnerability discovery from months to hours. Traditional patching and security measures are breaking down. We need to rebuild internet defense from the ground up.
AI is writing your code, but who’s reviewing it?
As AI coding assistants go mainstream, a silent wave of technical debt is building. Here’s how the industry is fighting back.
Machine learning in space: Building intelligent systems for the harshest environments
A new breed of tiny, hyper-efficient AI is revolutionizing space, extending satellite life and unlocking the next great era of autonomous exploration.
Decoding the brain, inspiring AI: How Rahul Biswas is bridging neuroscience...
The convergence of AI and neuroscience opens exciting possibilities for understanding human cognition and driving innovation in deep learning.
OpenAI’s Cursor cutoff makes the ultimate business case for open-source AI
OpenAI’s decision to sever ties with Cursor proves that relying on closed frontier models is an existential vulnerability for application-layer software.
Life, death, and the inevitable rise of AI: An argumentative reassessment
A medical professional claims AI is a new life form; however, equating it with biological life is speculative and largely dismisses the complexities of conscious existence.
The silent data leak hidden inside encrypted reasoning traces of frontier...
AI providers tried to hide the internal reasoning of their frontier models. A cryptographic oversight turned that protection into a massive enterprise data leak.
Why the agent harness matters as much as the model in...
Developers often treat agent harnesses as neutral wiring, but new red-teaming research shows that your choice of harness can make or break your AI security.
Beyond ReAct: Building the modern AI agent stack for massive tool...
Giving an LLM thousands of tools leads to noisy decisions. Learn how to optimize AI agent planning and tool routing without overwhelming the context window.
Why Goodfire’s block-sparse featurizers are a breakthrough in AI interpretability
Current interpretability tools fracture continuous concepts into isolated points. Goodfire's new approach preserves the full shape of AI reasoning.
Applied ML: When ‘perfect’ becomes the enemy of ‘good’
Waiting for perfect data can stall your machine learning project and result in losing opportunities of creating good-enough models.
AI can’t replace software engineers yet, but here is how to...
AI is not a replacement for engineers, but it can be very useful to product managers testing hypotheses and product ideas.
How to turbocharge your product and market research with DeepSearch
If you think in terms of the JBTD framework, Deep Search products can save you a ton of time and effort in finding new product and market opportunities.
