Meta built a context layer to help agents understand a large internal pipeline. The case is promising, but it does not show that more documentation always helps...
A weight is a number an AI model adjusts during training to reduce its errors. Millions or billions of those numbers, combined, are the only thing a model "learns" — nothing else is stored inside.
We explain gradient descent, hyperparameters and overfitting, but almost never the thing that actually gets adjusted: the weight. It's a number, and a model is millions of those numbers. That single idea collapses a lot of AI mythology — and with the right sources, you can say precisely how much memorization is real and why "70B" doesn't measure quality.
'Open weights' is not 'open source,' and the difference has real consequences: from user thresholds to territorial exclusions buried in the fine print. Using Llama 4's actual license and the counterexample of OLMo 2, this piece teaches three questions to check for yourself, document in hand, whether an AI model billed as 'open' really is.
OpenAI’s AGI Deployment leader has said she is leaving her full-time executive role and moving to part-time advisory work.
On July 6, Anthropic published a real finding about how Claude reasons internally (we already covered it). What came next was unusual: it invited three groups of experts to comment, without editing them into agreement, and they don't agree. Here's what separates the three, why none of them confuses a finding with an interpretation, and how to apply that same discipline next time.
The Baltimore university will launch a B.S. in Artificial Intelligence this autumn, transforming its cloud-computing programme into a 120-credit degree.
The Robert Koch Institute will hold its third symposium on AI in public-health research in September, focusing on data, evaluation and governance.
Polic‑IA analyses historical incidents by location and time slot to support planning. The council says it neither identifies people nor makes autonomous decisions.
An open project for detecting LLM-generated Chinese fiction reports strong results on its own test set using TF-IDF and SVM. It is an interesting demonstration, not a universal authorship test.
Tomography, geometry and AI can virtually unwrap carbonised papyri and recover writing without breaking the fragile scrolls.
TikTok is testing an opt-in tool with some US creators to find possible AI-generated likenesses and report them. Its value will depend on accuracy, consent and a clear review process.
Patreon is strengthening its use of Cloudflare to block known crawlers that collect creator work for model training. The change is not about closing the door to all automation, but about distinguishing training, search and other uses.
Netflix said on July 16 that generative-AI workflows have been used in roughly 300 titles in 2026, mainly in post-production. That does not mean 300 works were made by AI.
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