Skip to content

Radar

Daily bookmarks: relevant news, facts and discoveries.

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.

Engineering ·

PC-ALM trains deep residual MLPs with local dynamics

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 ·

Method trains sparse selection of KV blocks

Published on September 14, 2026, Simple Attention Sparsification describes how language modeling loss can optimize which KV blocks each query attends to.

Engineering ·

Post reports alleged KV cache reduction

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 ·

Token retention may reduce KV cache use

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 ·

RLT carries recurrent state between tokens

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 ·

A framework for recursive AI self-improvement

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 ·

Looped flows train recurrent updates with local denoising

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 ·

Large model shifts across GPU, RAM and NVMe

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 ·

Spinlock optimization and its trade-offs

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 ·

Document classifier with agents and SetFit

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 ·

Colibri streams MoE experts from disk in C

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 ·

PRISM and binary translation on Windows on Arm

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 ·

C*: programming and verification in C

Published on September 8, 2026, the article presents C*, an approach to bringing programming in C closer to formal verification.

Get the essentials

Privacy, AI engineering and security in your inbox.

At most one digest per day, when there is news. Cancel at any time. We use your account's verified email.

Privacy

Looking for something else?DocumentationContact