Memory Instead of Rewriting LLM Weights
Learn why practical LLM self-improvement relies on structured memory, reflection, and update policies rather than rewriting model weights.
LLMпамять ИИсамоулучшение агентов
AI News
Latest trends, breakthroughs, and insights from the world of artificial intelligence
1,062articlesOct 3, 2026latest
Splash leaves M1 Max and Ultra behind: what to run instead
Why Splash needs Apple M3, macOS 26.4 and 36 GB of memory, how its hardware barrier differs from RAM limits, and what to run on M1 Max or Ultra.
SplashApple Siliconлокальный ИИ
Suno Voice: More Control Over the Voice, Not More Life
Suno introduces a dedicated Voice flow, yet accents and pauses still need markup. See why v6 sounds cleaner while v4.5 is missed for variety.
Sunoгенерация голосагенеративное аудио
Claude Opus 5.5 explains errors more clearly, but loves TLDR
User feedback suggests Claude Opus 5.5 explains errors more clearly and may offer generous limits, but its frequent TLDR summaries remain distracting.
Claude Opus 5.5Anthropicпромпт-инжиниринг
DGX Spark 64GB: a $4,999 local ML sandbox
An analysis of NVIDIA DGX Spark 64GB: its $4,999 price, support for models up to 100B parameters, dual-system setup, and local ML use cases.
NVIDIA DGX Sparkлокальный ИИML-инференс
Codex helped build a generator for 3D-printable boxes
A user spent two Codex resets in two days to build a 3D-printable box generator. Here is how coding LLMs and parametric CAD work together.
Codex3D-печатьпараметрический CAD
Why Claude and Codex Desktop Can Save Tokens
Why Claude and Codex Desktop can use fewer tokens than CLI tools: native features, reusable context, stable tools, and better session organization.
Claude DesktopCodex Desktopуправление контекстом
How to Reduce AI Coding Assistant Overengineering
Learn how focused roles, lean context, session forks, and timely resets help prevent AI coding assistants from making unnecessary code changes.
ИИ-ассистенты для кодапромпт-инжинирингуправление контекстом
10M Tokens per Second: Record or Metric Sleight of Hand?
A closer look at the 10M tokens-per-second claim: why cluster throughput differs from single-request speed, and where the real cost hides.
инференсLLMбенчмарки
Sign in with ChatGPT turns an account into a login
Learn how Sign in with ChatGPT combines OAuth 2.0, PKCE and OpenID Connect, why servers must validate tokens, and what it changes for AI apps.
Sign in with ChatGPTOAuth 2.0OpenID Connect
GPT-6.1 Sol: Ultrafast Changes Codex Economics
An analysis of GPT-6.1 Sol, Ultrafast, Decisions API and open Codex harness: actual speed, pricing, access limits and the unverified 95% claim.
GPT-6.1 SolCodexUltrafast
Qwen3.8-Flash-Next: 50–60 tokens/s on two GPUs
An assessment of Qwen3.8-Flash-Next in Strata: 50–60 tokens/s on two unlike GPUs, MoE architecture, and the limits of one user report.
Qwen3.8-Flash-NextStrataлокальный инференс