Practical AI news, automation tips, and real-world insights to help your business stay ahead.
Meta's Byte Latent Transformer removes the tokenizer, matches Llama 3 at 8B scale with up to 50% fewer inference FLOPs, and Fast BLT cuts memory bandwidth by over 50% again.
OpenAI's Agents API runs the open source Codex harness as a managed cloud service: durable sessions, automatic context compaction, multi-agent orchestration, and optional sandboxes. How the architecture works, what it costs, and when to choose it over the Agents SDK.
GLM 5.3 Flash beats DeepSeek V4.1 Flash on a 256GB dual DGX Spark cluster, not on raw quality but on fit: a documented two-Spark recipe at 29-70 tok/s with 1M context, while DeepSeek V4.1 Flash needs three to four boxes. Full comparison, tok/s math, and the serving recipe.
The Recurrent Looped Transformer (RLT) re-runs one 48-layer decoder stack recurrently, so its compute path grows to t × 48 blocks while per-token cost stays flat. Announced by Yifan Zhang on September 12, 2026, it drew 386,100 views in a day and ships no benchmarks yet. Here is the architecture, the honest reading of infinite reasoning depth, and what it means for AI agents.
A 33-author survey (arXiv 2609.11873) maps recursive self-improvement across five autonomy levels and a Headroom-Closed Index that shows where LLMs stall. Here is what it means, where it works today, and how to audit self-improving agent claims.
Alibaba's open source AI code reviewer scored 33.90% precision versus Claude Code's 7.23% with the same underlying model on AACR-Bench, at roughly one ninth of the token cost. How the hybrid architecture works, benchmark numbers, our first-hand install test, and how to deploy it.
Harness engineering, the craft of building memory, scripts, and playbooks around an AI model, cut operational failures roughly 87 percent in Meta's Auto-RecSys. Here is what happened and how any business can apply it.
Anthropic's September 2026 report models three AI futures for 2030: GDP up 1.6% to 32.4%, unemployment from 4.6% to nearly 12%, and rising wages for trades and construction while knowledge work automates. Here is what it means for Australian trade, construction and allied health businesses.
Google's Procedural Graphs paper gives LLM agents editable what-to-do-next knowledge as a graph, evolved automatically from execution feedback. First in 21 of 24 benchmarks.