Engineering ·
Radar: scaling byte and token models
A paper compares distilled byte and token models trained at scales up to 1 trillion bytes and reports a higher performance ceiling for byte models as compute increases.
Daily bookmarks: relevant news, facts and discoveries.
Articles 1216
Engineering ·
A paper compares distilled byte and token models trained at scales up to 1 trillion bytes and reports a higher performance ceiling for byte models as compute increases.
Engineering ·
Published on September 14, 2026, the summary presents PC-ALM as a local alternative to backpropagation for training residual MLPs up to 1,000 layers, with performance described as nearly equivalent.
Engineering ·
Published on September 14, 2026, Simple Attention Sparsification describes how language modeling loss can optimize which KV blocks each query attends to.
Engineering ·
Published on September 14, 2026, the post introduces WeKnora, an open-source framework for document understanding, semantic retrieval, and autonomous reasoning.
Engineering ·
An article dated September 13, 2026 presents a method that learns from a proprietary teacher model’s text outputs, without access to logits or parameters.
Engineering ·
Published on September 13, 2026, the book covers model architectures, accelerators, inference optimization and distribution, training systems, and resource scheduling.
Engineering ·
A post claims KV cache use fell from 389,000 bytes to 890 bytes per token in three years. It says a linked article explains the approach with diagrams.
Engineering ·
A publication reports that keeping four initial tokens and a 64-token window, without training, matched or outperformed distilled linear-attention models on almost all benchmarks.
Engineering ·
Published on September 13, 2026, the brief describes a Transformer with a recurrent decoder that carries state between tokens during the prompt and generation.
Engineering ·
An article published on September 13, 2026 presents a review and conceptual framework for cycles in which AI systems identify limitations, validate changes, and retain improvements.
Engineering ·
Published on September 12, 2026, the listing describes The Deadlock Empire, a game where players act as schedulers, explore programs with bugs, and learn about concurrency.
Engineering ·
Published on September 12, 2026, the article proposes training recurrent hidden-state updates with local denoising objectives, seeking to address a difficulty associated with backpropagation across only a few updates.
Engineering ·
A report published on September 12, 2026 describes running a model on an RTX 5090 with 125.7 GiB of RAM and part of a 502 GB GGUF file on NVMe.
Engineering ·
An article in an intuitive reinforcement learning series presents contraction operators, a fundamental concept, through a concise visual approach.
Engineering ·
The article discusses spinlocks, which keep threads busy on the CPU instead of yielding to the scheduler, and notes that this can avoid system calls and context switches.
Engineering ·
Published on September 10, 2026, the account describes a document-purpose classifier trained on 200 examples labeled by an agent. The model classified 191,724 documents for about US$0.70 in inference compute.
Engineering ·
Published on September 10, 2026, Colibri is described as a dependency-free, pure-C inference engine that streams MoE experts from disk to run models on local hardware.
Engineering ·
Published on September 10, 2026, this entry describes an article examining PRISM, the binary translation system used by Windows on Arm, and its effects on code.
Engineering ·
On September 10, 2026, the company announced that it opened three repositories to facilitate deployment of V4.1 Flash and later open models.
Engineering ·
Published on September 8, 2026, the article presents C*, an approach to bringing programming in C closer to formal verification.
Looking for something else?DocumentationContact