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Insights & Ideas

Latest thoughts on AI, enterprise automation, and the future of work.

Latesttechnology

10 min read

Meta Muse Glimmer Is Out: 30B, Apache 2.0, and Deployable on Swfte Immediately

Meta's 29.6B dense multimodal model fits in 24GB. Architecture, memory math, and the case for narrow models.

August 11, 2026

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guides10 min read

AI Image and Video Models in 2026: A Buyer Comparison With Real Per-Shot Costs

Veo 3.1, Kling 3.0, Seedance and Flux 2 compared on price, licensing and cost per usable shot.

August 4, 2026

guides11 min read

Qwen3.8-27B: The Version You Can Actually Run, and How to Prepare For It

Qwen3.8-27B is the checkpoint that fits one GPU. What is confirmed, what is not, and the VRAM maths.

August 4, 2026

technology10 min read

Qwen3.8-Max: Alibaba Ships 2.4 Trillion Parameters, With Open Weights Promised

Qwen3.8-Max launched at $2/$6 per million tokens. What is verified, what is vendor claim, and what is missing.

August 4, 2026

technology10 min read

How Cheap Is DeepSeek, Really? A Cost Comparison Against Every Leading Model

DeepSeek V4-Pro costs $0.435/$0.87 per million tokens. The real multiple against GPT-5.6, Fable 5 and Gemini.

August 3, 2026

insights10 min read

Where Token Prices Are Going: What to Budget for LLM Costs Through 2027

LLM token prices keep falling while AI bills keep rising. The four forces driving each, and how to budget for both.

August 1, 2026

guides10 min read

Build Your Own AI on Your Own Data: Open Source Stack or Managed Platform

Training AI on your company data in 2026: the open source toolchain compared against a managed path.

July 30, 2026

technology21 min read

LLM Model Distillation Explained: Why Distillation-as-a-Service Is the Missing Layer

Distillation turns a model nobody can run into one anyone can. The mechanics, economics, and why we explore it.

July 30, 2026

guides13 min read

How to Fine-Tune an LLM on Your Own Data (And Why the Moat Was Never the Model)

Prompt, retrieve, or fine-tune? A practical guide to training a specialised model on your own data in Swfte.

July 29, 2026

technology11 min read

Kimi K3 Open Weights Are Out: Download, Self-Hosting Requirements, and What Changed

Moonshot shipped 2.8T parameters on schedule. Independent numbers, serving math, and why policy cannot undo it.

July 29, 2026

insights9 min read

Project Alexandria: Our Open-Source AI Training Corpus and Distillation Pledge

Libraries burn; distributed ones do not. Our pledge to publish open distillations, a corpus, and what we learn.

July 29, 2026

technology12 min read

How to Run a 27B LLM on Your Phone: Bonsai 27B, 1-Bit and Ternary Quantization

Bonsai 27B fits a 27B model in 3.9 GB. What survives 1-bit and ternary compression, and what quietly breaks.

July 29, 2026

technology12 min read

Kimi K3 and Inkling: The Week Open Weights Reached the Frontier — and What It Takes to Run Them

Moonshot's 2.8T Kimi K3 and Murati's Inkling landed a day apart: the power, the GPU reality, July 2026's model wave.

July 17, 2026

technology8 min read

The Efficiency Race: Why AI Now Competes on Cost per Intelligence

AI is shifting from raw IQ to cost per unit of intelligence. Why efficiency, not size, is the race that matters now.

July 9, 2026

technology8 min read

Claude Fable 5 vs GPT-5.6: When Thinking Cheaper Beats Thinking Harder

Fable 5 leads at $10/$50; GPT-5.6 sits two points back at half the price. Why the gap is really an efficiency story.

July 9, 2026

technology8 min read

Reasoning in a Private Language: From Chain-of-Thought to Latent Thinking

How models are learning to think in a compressed private notation instead of English — and why that quietly lowers cost.

July 9, 2026

technology8 min read

The Hidden Reasoning-Token Tax in LLM Pricing (and How GPT-5.6 Cut It)

Reasoning models bill you for hidden thinking tokens you never see. Here's the real cost, and how GPT-5.6 cut it.

July 9, 2026

technology9 min read

GPT-5.6: The Quiet Update That Closed the Gap

GPT-5.6 matches Opus 4.8 on the AA Index at a third of the price. What changed, and whether it's worth switching.

July 8, 2026

technology9 min read

DeepSeek V4.5: The Open-Weight Model That Undercuts Everyone

DeepSeek V4.5 ships under MIT at $0.50/$1.10 with frontier-band reasoning. The numbers, the caveats, and the fit.

July 5, 2026

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Insights & Ideas

Meta Muse Glimmer Is Out: 30B, Apache 2.0, and Deployable on Swfte Immediately

AI Image and Video Models in 2026: A Buyer Comparison With Real Per-Shot Costs

Qwen3.8-27B: The Version You Can Actually Run, and How to Prepare For It

Qwen3.8-Max: Alibaba Ships 2.4 Trillion Parameters, With Open Weights Promised

How Cheap Is DeepSeek, Really? A Cost Comparison Against Every Leading Model

Where Token Prices Are Going: What to Budget for LLM Costs Through 2027

Build Your Own AI on Your Own Data: Open Source Stack or Managed Platform

LLM Model Distillation Explained: Why Distillation-as-a-Service Is the Missing Layer

How to Fine-Tune an LLM on Your Own Data (And Why the Moat Was Never the Model)

Kimi K3 Open Weights Are Out: Download, Self-Hosting Requirements, and What Changed

Project Alexandria: Our Open-Source AI Training Corpus and Distillation Pledge

How to Run a 27B LLM on Your Phone: Bonsai 27B, 1-Bit and Ternary Quantization

Kimi K3 and Inkling: The Week Open Weights Reached the Frontier — and What It Takes to Run Them

The Efficiency Race: Why AI Now Competes on Cost per Intelligence

Claude Fable 5 vs GPT-5.6: When Thinking Cheaper Beats Thinking Harder

Reasoning in a Private Language: From Chain-of-Thought to Latent Thinking

The Hidden Reasoning-Token Tax in LLM Pricing (and How GPT-5.6 Cut It)

GPT-5.6: The Quiet Update That Closed the Gap

DeepSeek V4.5: The Open-Weight Model That Undercuts Everyone

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