Exploring AI Learning, the specifics of Large Language Models, including architecture, prompt engineering, fine-tuning, RAG, and their application in text-based tasks.
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
Text generation has a speed problem that no amount of bigger hardware fully solves. Language models write one token at a time, and each token needs a full pass through the network. Output twice as long, wait twice as long. DSpark is DeepSeek’s attempt to break that pattern, and it does so without retraining a … Read more
At 3 A.M., the last thing anyone expects from a chatbot is a soft intervention. Not a syntax error. Not a refusal. A wellness nudge. “You should get some sleep.” Maybe drink water too. The internet did what the internet does best, it turned this into a meme. Is Claude becoming a worried parent? Is … Read more
For most of the modern AI boom, text generation has had one very good trick: predict the next token, then do it again, and again, and again, until the machine either writes a sonnet or apologizes for being unable to help with your toaster. Diffusion language models ask a different question. What if language didn’t … Read more
The weird thing about vision models is that they can often describe an image beautifully, then fall apart when asked to do something a five-year-old does with a finger. Count the bears on the ground. Trace the line from the crown icon. Navigate the maze. Don’t hallucinate a shortcut through a wall. That is where … Read more
An AI operating system sounds, at first, like the sort of phrase that gets shouted over synth music in a keynote and forgotten by lunch. Then you read Meta and KAUST’s Neural Computers paper and realize they mean it literally. Not “an assistant for your desktop.” Not “a smarter shell.” An AI operating system where … Read more