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Compare models with charts, understand changes through developments, and explore projects through maintained profiles.

FieldToFit Daily

Today’s AI Daily

AI enters real workflows, with capability and accountability

The ServiceNow plugin is live, warehouse robotics remains a proof of concept, and New York brings child protection into chatbot feature rules. Ten reports connect products, compute and business delivery, clearly labeling new developments, recent progress and observations.

ServiceNow enters ChatGPT, starting with a live plugin

OpenAI and ServiceNow expanded their partnership. The ServiceNow MCP plugin is available in the OpenAI marketplace. Customers choose enabled capabilities, with Action Fabric applying existing business rules and permissions; richer interactive experiences remain in preview.

New York signs chatbot protections for minors

New York’s governor signed S.9051B/A.10379C, restricting chatbot features for minors that impersonate humans, foster emotional dependency, encourage self-harm or provide sexual content. It requires multiple age-verification methods, including one not solely dependent on government ID, and deletion of age information after use.

Microsoft Q1 revenue reaches $92.3 billion; cloud grows 30%

Microsoft reported fiscal Q1 2027 results for the quarter ended September 30: revenue of $92.3 billion, up 19%; Microsoft Cloud revenue of $63.9 billion, up 30%; and Azure revenue growth of 48%. GAAP net income was $36.6 billion, versus $36.4 billion excluding OpenAI investment effects.

Read this edition Past editions

Recent developments

Recent highlights

All developments ↗

Information cards

All information cards ↗

Selected Technical Reports & Analysis

All reports and history

LLM technical evolution

2017—2026 · How capabilities are learned, used and run efficiently.

Catalog updated 2026-10-24

Train · Training

Update model parameters through data, learning objectives and optimization to form and change capabilities, including pretraining, post-training and adaptation.

2017 · Sparse expert routing · Sparsely-gated MoE

2017 · Attention architecture · Transformer

2022 · Compute allocation · Chinchilla

2024 · Group-relative RL · DeepSeekMath

2024 · Reasoning RL · OpenAI · o1

2025 · Verifiable rewards · R1 / R1-Zero

2025 · Policy optimization · DAPO

2025 · Scaling sparse experts · Qwen3 MoE

2025 · Agent environments · Kimi K2

2025 · Constrained connections · mHC

2026 · Sparse / linear hybrid with mHC · GLM-5.3-Flash

2026 · Gated recurrence / attention with MoE · Qwen3.8-2.4T-A95B

2026 · Post-training on a shared base · GLM-5.3

2026 · Parallel agent RL · Kimi K2.5 · PARL

2026 · Unified multimodal prediction · ERNIE 5.0

2026 · KDA with global attention · Kimi K3

2026 · Constitution-guided post-training · Claude Opus 5.5

2026 · Joint pretraining and RL scaling · Muse Wonder / Full

Full map →

Inference · Inference

Use trained models to process inputs and generate outputs, organizing search, verification and tools to solve tasks with existing capabilities.

2019 · Shared KV heads · MQA

2022 · Draft and verify · Speculative decoding

2023 · Grouped KV heads · GQA

2024 · Latent KV compression · DeepSeek-V2 · MLA

2025 · Feature-based drafts · EAGLE-3

2026 · Sparse / linear hybrid with mHC · GLM-5.3-Flash

2026 · Block diffusion drafts · DFlash

2026 · Adaptive thinking · Claude Opus 4.6

2026 · Block sparse attention · MiniMax M3

2026 · KDA with global attention · Kimi K3

2026 · Learned internal reasoning · GPT-6 Astra / GPT-6.1 Sol

2026 · Cross-layer KV and index reuse · DeepSeek V4.1-Flash

Full map →

System · Training & serving systems

Organize computation, memory and communication for training and inference through parallelism, kernels and scheduling on real hardware.

2019 · Training-state sharding · ZeRO

2022 · IO-aware attention · FlashAttention

2023 · Paged KV cache · vLLM

2024 · Prefill/decode split · DistServe

2025 · Distributed PD serving · NVIDIA Dynamo

2026 · Blackwell kernels · FlashAttention-4

2026 · Block sparse attention · MiniMax M3

2026 · Encode/prefill/decode · Dynamo · EPD

2026 · Cross-layer KV and index reuse · DeepSeek V4.1-Flash

2026 · Asynchronous long-trajectory RL · Mistral Large 4

2026 · Distributed training on TPUs · Gemini 4 Argon

Full map →

Selected milestones; chronology does not imply inheritance.

Explore full maps

Important questions · explained

18 illustrated explanations with manual browser reading records.

Open full directory →

Flagship models and disclosed approaches

15 companies · Checked 2026-10-23 · No link does not imply non-use. Source dates are not necessarily launch dates.

OpenAI · GPT-6 Astra

General / reasoning · Officially released

Training and internal reasoning are disclosed; architecture and production systems are not established.

Source date / precision as disclosed · 2026-09-03 · Checked 2026-10-23

GPT-6 Astra System Card

Training

Specific disclosures appear below; other implementation details remain unknown.

reasoning_rl-o1 · The current card discloses reasoning RL (Sol by explicit reference); the optimizer is unspecified.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GPT-6 Astra System Card

§2 Model Data and Training · Relevant text reviewed · Checked 2026-10-23

Inference

Specific disclosures appear below; other implementation details remain unknown.

thinking-internal · Internal reasoning precedes the answer; prompted CoT and training are not equated.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GPT-6 Astra System Card

§2 Model Data and Training · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

OpenAI · GPT-6.1 Sol

General / reasoning · Officially released

The addendum explicitly references Astra training types, not a distillation relationship.

Source date / precision as disclosed · 2026-09-29 · Checked 2026-10-23

GPT-6.1 Sol System Card Addendum

Training

Specific disclosures appear below; other implementation details remain unknown.

reasoning_rl-o1 · The current card discloses reasoning RL (Sol by explicit reference); the optimizer is unspecified.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GPT-6.1 Sol System Card Addendum

§2 Model Data and Training · Relevant text reviewed · Checked 2026-10-23

Inference

Specific disclosures appear below; other implementation details remain unknown.

thinking-internal · Internal reasoning precedes the answer; prompted CoT and training are not equated.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GPT-6.1 Sol System Card Addendum

§2 Model Data and Training · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Anthropic · Claude Opus 5.5

Agent / coding · Officially released

Thinking is always on. The system-card PDF remains unavailable; API documentation was reviewed.

Source date / precision as disclosed · 2026-09 · Checked 2026-10-23

What’s new in Opus 5.5

Training

Constitution-guided post-training is described; the exact recipe is not disclosed.

post-opus55 · Substantial constitution-guided post-training; no undisclosed optimizer is assumed.

This does not establish every step of the historical CAI recipe.

Claude Transparency Hub

Claude Opus 5.5: training methodology · Relevant text reviewed · Checked 2026-10-23

Inference

Specific disclosures appear below; other implementation details remain unknown.

thinking-adaptive · Adaptive thinking is always on, with depth controlled by effort rather than the old manual budget.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

What’s new in Opus 5.5

New model / Breaking changes · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Anthropic · Claude Fable 5.1

Separate capability tier · Identity / scope under review

Listed in the official system-card index; independent training evidence and availability remain under review.

Source date / precision as disclosed · 2026-09 · Checked 2026-10-23

Claude system cards

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Anthropic · Claude Mythos 5.1

Separate capability tier · Identity / scope under review

Listed in the official system-card index; independent training evidence and availability remain under review.

Source date / precision as disclosed · 2026-09 · Checked 2026-10-23

Claude system cards

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Google · Gemini 4 Argon

General / reasoning · Officially released

A new model, explicitly not a fine-tune of a prior model; the training stack is disclosed.

Source date / precision as disclosed · 2026-10-13 · Checked 2026-10-23

Gemini 4 Argon Model Card

Training

Specific disclosures appear below; other implementation details remain unknown.

moe-sparse · Explicitly a sparse MoE Transformer with native multimodal support.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Gemini 4 Argon Model Card

Architecture · Relevant text reviewed · Checked 2026-10-23

reasoning_rl-o1 · RL uses multi-step reasoning, problem-solving and theorem data.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Gemini 4 Argon Model Card

Training Dataset · Relevant text reviewed · Checked 2026-10-23

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

Specific disclosures appear below; other implementation details remain unknown.

system-argon · TPU, JAX and ML Pathways are explicitly used for training.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Gemini 4 Argon Model Card

Hardware / Software · Relevant text reviewed · Checked 2026-10-23

Z.ai / GLM · GLM-5.3

Agent / coding · Officially released

Post-training on the 5.2 base; the exact release date remains to be pinned.

Source date / precision as disclosed · 2026 · Checked 2026-10-23

GLM-5.3 / GLM-5.3-Flash official repository

Training

Specific disclosures appear below; other implementation details remain unknown.

post-glm53 · Uses the 5.2 base with improvements from post-training.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GLM-5.3 / GLM-5.3-Flash official repository

Introduction: GLM-5.3 · Relevant text reviewed · Checked 2026-10-23

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Z.ai / GLM · GLM-5.3-Flash

Agent / coding · Officially released

A new base and hybrid architecture; not all GLM-5 systems details can be inherited.

Source date / precision as disclosed · 2026 · Checked 2026-10-23

GLM-5.3 / GLM-5.3-Flash official repository

Training

Specific disclosures appear below; other implementation details remain unknown.

hybrid-glm53flash · The new base combines sparse / linear attention and mHC.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GLM-5.3 / GLM-5.3-Flash official repository

Introduction: GLM-5.3-Flash · Relevant text reviewed · Checked 2026-10-23

repr-mhc · The official description explicitly names mHC.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GLM-5.3 / GLM-5.3-Flash official repository

Introduction: GLM-5.3-Flash · Relevant text reviewed · Checked 2026-10-23

Inference

Specific disclosures appear below; other implementation details remain unknown.

hybrid-glm53flash · The same structure combines recurrent state and sparse access during inference.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

GLM-5.3 / GLM-5.3-Flash official repository

Introduction: GLM-5.3-Flash · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

DeepSeek · DeepSeek V4.1-Flash

Agent / coding · Open weights

Report v1; the 1017 service update is separate, and the report date is not the model launch date.

Source date / precision as disclosed · 2026-09-17 · Checked 2026-10-23

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

Specific disclosures appear below; other implementation details remain unknown.

context-csa2 · Full, Reindex and Reuse control sharing and index recomputation.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

§2.3–2.3.1 · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

Specific disclosures appear below; other implementation details remain unknown.

context-csa2 · Shared main KV and index keys reduce storage; index reuse avoids repeated computation.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

§2.3.1 · Relevant text reviewed · Checked 2026-10-23

DeepSeek · DeepSeek V4 Pro

General / reasoning · Model source recorded

Separate from V4.1-Flash; Flash implementation or service revisions do not establish Pro behavior.

Source date / precision as disclosed · Not stated · Checked 2026-10-23

DeepSeek-V4 model card

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Moonshot / Kimi · Kimi K3

Agent / coding · Open weights

Architecture sections reviewed; report revisions and model adoption dates remain distinct.

Source date / precision as disclosed · 2026-07-27 · Checked 2026-10-23

Kimi K3: Open Frontier Intelligence

Training

Specific disclosures appear below; other implementation details remain unknown.

hybrid-k3 · KDA and Gated MLA mix at 3:1, with an additional final global layer.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Kimi K3: Open Frontier Intelligence

§2.1 · Relevant text reviewed · Checked 2026-10-23

Inference

Specific disclosures appear below; other implementation details remain unknown.

hybrid-k3 · Recurrent state updates complement global access; this is not a purely linear model.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Kimi K3: Open Frontier Intelligence

§2.1 · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Alibaba / Qwen · Qwen3.8-2.4T-A95B

Max-class open weights · Open weights

An exact open-weight identity, not automatically the same as the API Max deployment.

Source date / precision as disclosed · 2026 · Checked 2026-10-23

Qwen3.8-2.4T-A95B model card

Training

Specific disclosures appear below; other implementation details remain unknown.

hybrid-q38 · Specifies Gated DeltaNet, Gated Attention, MoE and multi-step MTP.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Qwen3.8-2.4T-A95B model card

Model Overview · Relevant text reviewed · Checked 2026-10-23

Inference

Specific disclosures appear below; other implementation details remain unknown.

thinking-adaptive · reasoning_effort adjusts reasoning and thinking history can be preserved; no claim of identical internals to Claude.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Qwen3.8-2.4T-A95B model card

Highlights / API Usage · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Alibaba / Qwen · Qwen3.8-Max

General / reasoning · API / weights mapping under review

The card references Max, but the exact mapping to the API deployment is not verified.

Source date / precision as disclosed · 2026 · Checked 2026-10-23

Qwen3.8-2.4T-A95B model card

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Alibaba / Qwen · Qwen3.8 Flash-Next

Efficiency branch · Report abstract reviewed

Next is a separate branch; abstract-only details are not promoted to reviewed adoption links.

Source date / precision as disclosed · 2026 · Checked 2026-10-23

Qwen3.8-Next architecture report

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

MiniMax · MiniMax M3.1 Flash

Agent / coding · Officially released

Release and role are clear; direct evidence for MSA or its training recipe was not obtained.

Source date / precision as disclosed · 2026-10-19 · Checked 2026-10-23

MiniMax M3.1 Flash

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

MiniMax · MiniMax M3

Agent / coding · Officially released

MSA and kernel disclosures apply to M3, not automatically M3.1 Flash.

Source date / precision as disclosed · 2026-06-01 · Checked 2026-10-23

MiniMax M3

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

Specific disclosures appear below; other implementation details remain unknown.

context-msa · Block-selected sparse attention.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

MiniMax M3

MSA · Relevant text reviewed · Checked 2026-10-23

Training & serving systems

Specific disclosures appear below; other implementation details remain unknown.

context-msa · A KV-outer kernel gathers matching queries to reduce repeated reads.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

MiniMax M3

MSA · Relevant text reviewed · Checked 2026-10-23

Meta · Muse Wonder

Agent / coding · Officially released

The official post describes pretraining and RL scaling; Llama architecture is not presumed for Muse.

Source date / precision as disclosed · 2026-10-12 · Checked 2026-10-23

Muse Wonder and Muse Wonder Full

Training

Specific disclosures appear below; other implementation details remain unknown.

post-wonder · The official post explicitly describes scaling pretraining and reinforcement learning; the optimizer is unspecified.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Muse Wonder and Muse Wonder Full

Scaling Toward Personal Superintelligence · Relevant text reviewed · Checked 2026-10-23

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Meta · Muse Wonder Full

Agent / coding · Available to Muse Code subscribers

The official post describes pretraining and RL scaling; Llama architecture is not presumed for Muse.

Source date / precision as disclosed · 2026-10-12 · Checked 2026-10-23

Muse Wonder and Muse Wonder Full

Training

Specific disclosures appear below; other implementation details remain unknown.

post-wonder · The official post explicitly describes scaling pretraining and reinforcement learning; the optimizer is unspecified.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Muse Wonder and Muse Wonder Full

Scaling Toward Personal Superintelligence · Relevant text reviewed · Checked 2026-10-23

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

xAI · Grok 4.7

General / reasoning · Officially released

Release material reviewed; task performance is not an algorithm or architecture disclosure.

Source date / precision as disclosed · 2026-09-21 · Checked 2026-10-23

Grok 4.7

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

ByteDance · Seed2.1 Pro

Agent / coding · Officially released

The official page identifies both sizes; the model-card PDF could not be read and the training recipe is unverified.

Source date / precision as disclosed · Not stated · Checked 2026-10-23

Seed2.1 Pro and Turbo

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

ByteDance · Seed2.1 Turbo

Agent / coding · Officially released

The official page identifies both sizes; the model-card PDF could not be read and the training recipe is unverified.

Source date / precision as disclosed · Not stated · Checked 2026-10-23

Seed2.1 Pro and Turbo

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Mistral · Mistral Large 4

General / reasoning · Public preview

Currently a public preview; planned end-of-month weights are not marked as released.

Source date / precision as disclosed · 2026-10-06 · Checked 2026-10-23

Introducing Mistral Large 4

Training

Specific disclosures appear below; other implementation details remain unknown.

agent-k2 · RL spans tool environments with tests, judges and static checks; this is not adoption of Kimi’s recipe.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Introducing Mistral Large 4

Reinforcement learning at scale · Relevant text reviewed · Checked 2026-10-23

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

Specific disclosures appear below; other implementation details remain unknown.

system-ml4 · Rollout actors and training execute asynchronously with staleness control.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Introducing Mistral Large 4

Reinforcement learning at scale · Relevant text reviewed · Checked 2026-10-23

Baidu / ERNIE · ERNIE 5.0

General / reasoning · Reported model; latest status under review

Unified multimodal architecture reviewed; report date does not establish launch or latest-flagship status.

Source date / precision as disclosed · 2026-02-04 · Checked 2026-10-23

ERNIE 5.0 Technical Report

Training

Specific disclosures appear below; other implementation details remain unknown.

train-ernie5 · Unified next-group-of-tokens training with modality-agnostic expert routing.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

ERNIE 5.0 Technical Report

§2–2.1 · Relevant text reviewed · Checked 2026-10-23

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Tencent / Hunyuan · Hy4 Preview

Agent / coding · Public preview

Tencent platform documentation confirms MoE and preview status; integration is not proof of model internals.

Source date / precision as disclosed · 2026-08-28 · Checked 2026-10-23

Hy4 Preview on Tencent ADP

Training

Specific disclosures appear below; other implementation details remain unknown.

moe-sparse · Officially identified as sparse MoE; the exact routing strategy is not established.

Supports the described mechanism or application, not every historical implementation detail or weight lineage.

Hy4 Preview on Tencent ADP

核心Capability与技术参数 / Architecture · Relevant text reviewed · Checked 2026-10-23

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Huawei / Pangu · Pangu

Current flagship identity unresolved · Identity / scope under review

Service documentation found, but no exact current flagship pinned; historical Pro MoE is not substituted.

Source date / precision as disclosed · 2026-10-14 · Checked 2026-10-23

Pangu model service overview

Training

The reviewed material does not establish the implementation; no link does not imply non-use.

Inference

The reviewed material does not establish the implementation; no link does not imply non-use.

Training & serving systems

The reviewed material does not establish the implementation; no link does not imply non-use.

Codex: 28 Days of Progress

Full log ↗

Model capability & pricing

Arena

Text Arena · Overall · Style Control · USD per million output tokens · 99 configurations

Source date: 2026-10-22 · Checked: 2026-10-26

Original source
Full charts ↗

Ongoing watch

ChatGPT

2026-10-28 · ChatGPT / Codex: ServiceNow MCP is available, with phased voice, security and integration plans

Codex

2026-10-28 · ChatGPT / Codex: ServiceNow MCP is available, with phased voice, security and integration plans

Gemini

2026-10-28 · Gemini 4 Carbon: limited defender rollout, with introductory and later prices

All dossiers ↗
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