Plain-language explainers about what AI actually does, with links to primary sources.https://news.bitwarelabs.com/en-ushttps://news.bitwarelabs.com/posts/easy-can-ai-read-medical-scans/https://news.bitwarelabs.com/posts/easy-can-ai-read-medical-scans/Sometimes, on a narrow measured task: pattern matching on pixels, not a radiologist in software: with the DeGrave shortcut paper as the honest door into what can go wrong.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-can-ai-write-code/https://news.bitwarelabs.com/posts/easy-can-ai-write-code/A plain-language guide to code-generating models as next-token engines that can draft and explain: with human review: using Codex/HumanEval as the door into measured benchmarks and why fluency is not production-ready ownership.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-how-a-model-learns/https://news.bitwarelabs.com/posts/easy-how-a-model-learns/Training explained like practice, not mysticism: examples, errors, and updates: with links into the History serial and classic papers.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-open-source-vs-closed-models/https://news.bitwarelabs.com/posts/easy-open-source-vs-closed-models/A plain-language guide to what “open” usually means for AI models: weights, code, data, or API-only: vs closed products, with tradeoffs for privacy, audit, cost, and safety, and Bommasani et al. as the door into access and release.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-pretrain-then-finetune/https://news.bitwarelabs.com/posts/easy-pretrain-then-finetune/A plain-language guide to the two-stage recipe: learn general patterns from cheap practice on raw data, then specialize for a product job: with BERT as the door and honest limits on what finetuning buys.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-ai-actually-is/https://news.bitwarelabs.com/posts/easy-what-ai-actually-is/A plain-language tour of what people mean by AI today: pattern engines trained on data, not sci-fi minds: with doors into the technical sources if you want them.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-attention-means/https://news.bitwarelabs.com/posts/easy-what-attention-means/A plain-language guide to attention as learned weighing of context: everyday glance-back vs the engineering trick that helped sequences, with Vaswani et al. as the door and honest limits on what weights explain.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-chatgpt-is-and-isnt/https://news.bitwarelabs.com/posts/easy-what-chatgpt-is-and-isnt/A plain-language guide to ChatGPT as a product on a language model: fluent text, instruction tuning, and honest limits: not a person and not all of AI.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-embedding-means/https://news.bitwarelabs.com/posts/easy-what-embedding-means/A plain-language guide to embeddings as lists of numbers that place words, sentences, or images in a space where nearby means similar for the trained task: with Mikolov et al. word2vec as the classic door, and honest limits on similarity vs truth.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-hallucination-means/https://news.bitwarelabs.com/posts/easy-what-hallucination-means/A plain-language guide to AI “hallucination” as fluent, confident, unsupported output: a borrowed metaphor, not a mind seeing visions: with TruthfulQA and doors into related Easy posts.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-is-a-neural-network/https://news.bitwarelabs.com/posts/easy-what-is-a-neural-network/A plain-language tour of neural networks as stacked layers of simple units with adjustable weights: loosely neuron-inspired, not a brain: with doors into Rumelhart et al. and the History serial.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-multimodal-means/https://news.bitwarelabs.com/posts/easy-what-multimodal-means/A plain-language guide to multimodal AI as systems that handle more than one kind of input: images plus text, not human senses: with CLIP as the door into matching pictures and captions, and honest limits on chat-about-images.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-parameters-mean/https://news.bitwarelabs.com/posts/easy-what-parameters-mean/A plain-language guide to parameters as adjustable knobs: why ‘billion-parameter’ headlines are about capacity, not a library of facts: with Kaplan et al. scaling laws as the door into size, data, and compute.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-rlhf-is-for/https://news.bitwarelabs.com/posts/easy-what-rlhf-is-for/A plain-language guide to RLHF as training a model to prefer answers humans rate better: not installing morals or a mind: with InstructGPT as the door and honest limits on truth, safety, and whose feedback counts.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-what-training-data-means/https://news.bitwarelabs.com/posts/easy-what-training-data-means/Training data explained as the designed pile of examples that nudge a model’s weights: not a library it reads like a person: with doors into datasheets, ImageNet-era scale, and related Easy posts.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-why-ai-needs-energy/https://news.bitwarelabs.com/posts/easy-why-ai-needs-energy/A measured guide to why training and serving models use electricity: burst vs ongoing cost, size and scale, efficiency levers: with Luccioni et al. on BLOOM as the door into what was actually measured.Sun, 13 Sep 2026 00:00:00 GMTeasyhttps://news.bitwarelabs.com/posts/easy-why-evaluation-matters/https://news.bitwarelabs.com/posts/easy-why-evaluation-matters/Training is practice on the homework; evaluation asks whether the model can do the test: and whether the test is the real job: with CheckList as the door into how one accuracy number can hide systematic failures.Sun, 13 Sep 2026 00:00:00 GMTeasy