Exploring AI Learning, the specifics of Large Language Models, including architecture, prompt engineering, fine-tuning, RAG, and their application in text-based tasks.
OpenAI’s first custom AI chip has moved from an interesting infrastructure story to a much harder question for Nvidia: what happens when one of the world’s biggest AI customers designs inference hardware around its own workloads? The OpenAI Jalapeno chip, officially styled Jalapeño, is a purpose-built LLM inference accelerator developed with Broadcom. It isn’t meant … Read more
AI companies have spent years making their best reasoning models harder to imitate. One increasingly important defense is simple in principle: don’t show users the model’s full chain of thought. A new paper, Stealing Reasoning Traces from Proprietary LLM APIs, found a surprisingly indirect way around that protection. Researchers discovered that encrypted reasoning blocks produced … Read more
A language model says it isn’t conscious. Researchers nudge one internal direction inside the network, ask again, and the same model now claims it has feelings and awareness. Clipped into a five-second video, that looks like proof of machine consciousness. Read the paper, and it looks like something narrower and more interesting: a controllable knob … Read more
The latest cryptography news arrived with the kind of headline that makes security teams reach for coffee and everyone else check their bank balance: Claude had found new ways to attack encryption. The less cinematic truth is that your online banking is still safe, Bitcoin has not become readable, and full AES remains unbroken. The … Read more
Introduction You swap out your model for the newest frontier release, and your agent still falls apart on the same tasks. It still loses the plot after twenty tool calls. It still retries the same failed action four times before giving up. If that sounds familiar, the problem probably isn’t the model. It’s the agent … Read more
On July 6, 2026, Anthropic published a paper that made a chunk of AI Twitter ask whether Claude just admitted to having an inner life. It didn’t, not exactly. But the actual finding is stranger and more useful than the headline version, and it leans on a decades old idea from neuroscience called Global Workspace … Read more
A keyboard usually needs fingers. Brain2QWERTY, the brain-computer interface Meta AI just published in Nature Neuroscience, manages without them. It reads the intent to type a specific letter straight from a person’s brain activity and reconstructs full sentences from the pattern, with no electrodes and no incisions. The peer-reviewed paper went live on June 29, … Read more