
How to control your AI Outputs (better than Finetuning)
We’ve been using flat-earth math to navigate warped AI models. Here is the geometric fix.
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NEWS & BLOGS
Research, analysis, and perspectives from the team building the future of legal work.
From our Head of AI
Writing on reasoning systems, AI infrastructure, and the engineering decisions behind Irys. read by thousands of practitioners.
May 2026 · 40 min read
We’ve been using flat-earth math to navigate warped AI models. Here is the geometric fix.
Read on Substack
May 2026 · 13 min read
It takes time to create work that’s clear, independent, and genuinely useful.
Read on Substack
May 2026 · 4 min read
In a World with Claude Code, OpenClaw, and a hundred spinoffs, which AI Subscription Is Worth Paying For in 2026 ?
Read on Substack
Apr 2026 · 33 min read
Why Changing from Autoregressive Language Models to Diffusion Models will change AIs hottest problems
Read on Substack
Apr 2026 · 26 min read
Breaking down the architectural decisions Google made — and why edge and server models are built on opposite logic.
Read on Substack
Apr 2026 · 39 min read
A primary-source investigation for developers and security researchers who want the real story about what the Data says about Mythos
Read on Substack
Apr 2026 · 17 min read
AI Market Report March 2026: Google’s price war, America’s shadow-banking energy play, and why the whole AI stack just fractured into four industries — each with different economics.
Read on Substack
Apr 2026 · 3 min read
Saleforce TDX, Google Cloud Next and more..
Read on Substack
Apr 2026 · 3 min read
Featuring insights from Andrew Ng, Terence Tao, Yann LeCunn, and many other top researchers on how they use AI for better gains
Read on Substack
Mar 2026 · 10 min read
From Societal Bottleneck to High-Yield Infrastructure
Read on Substack
Mar 2026 · 35 min read
What Apple, GitHub Copilot, and legal AI reveal about how incumbents lose paradigm shifts
Read on Substack
Mar 2026 · 19 min read
A skeptic’s field guide to building personal agents that are powerful, practical, and safe
Read on Substack
Mar 2026 · 53 min read
How Liquid AI built the Best Edge AI Model in the World. And what this reveals about the next wave of model design.
Read on Substack
Mar 2026 · 3 min read
Understanding why Reasoning Models are Different from Normal LLMs and How to Prompt them.
Read on Substack
Mar 2026 · 19 min read
A practical look at how debugging workflows, metrics, and automated runbooks are used to investigate slowdowns and failures in large-scale model training.
Read on Substack
Mar 2026 · 7 min read
How AI turns weeks of GIS work into 10 seconds of queries
Read on Substack
Mar 2026 · 77 min read
A clear guide to the new architectures battling the transformer’s memory and inference bottlenecks.
Read on Substack
Mar 2026 · 3 min read
How labs differentiate when models converge, what AI coding tools actually change, and why the backlash against AI became a market force
Read on Substack
Mar 2026 · 42 min read
How Mass AI Surveillance and AI Weapons Systems Can Threaten Our Freedom
Read on Substack
Feb 2026 · 18 min read
why AI benchmarks are failing and more
Read on Substack
Feb 2026 · 52 min read
From FLOPs to GPUs to KV Cache — What Every Token Actually Costs
Read on Substack
Feb 2026 · 3 min read
How to teach yourself AI- for technical folk
Read on Substack
Feb 2026 · 30 min read
A deep dive into hierarchy and why present AI systems are missing it.
Read on Substack
Feb 2026 · 12 min read
Meet Philipp Wehn, the a16z Founder using AI to improve Heavy Industries.
Read on Substack
Feb 2026 · 12 min read
A candid conversation on tradeoffs, scale, and what actually matters.
Read on Substack
Feb 2026 · 3 min read
How verification costs, retention curves, and stateful systems are reshaping where value accumulates
Read on Substack
Feb 2026 · 18 min read
Databricks, Sakana AI, Radix, and why Investors are rushing to invest in Open Source AI
Read on Substack
Jan 2026 · 12 min read
A deepdive into the Metaverse, Open Source, and how Meta is tackling their biggest challenges.
Read on Substack
Jan 2026 · 9 min read
What are Kernels and Why writing them better can improve GPU usage by 5x.
Read on Substack
Legal AI insights, product updates, and research. delivered to your inbox.
45 results

We’ve been using flat-earth math to navigate warped AI models. Here is the geometric fix.

It takes time to create work that’s clear, independent, and genuinely useful.

In a World with Claude Code, OpenClaw, and a hundred spinoffs, which AI Subscription Is Worth Paying For in 2026 ?

Harvey starts at $300K. Legora at $30K. For roughly 95% of US law firms, neither is even reachable. The actual choice is Claude DIY vs. a legal-native platform. Here is the math.

Why Changing from Autoregressive Language Models to Diffusion Models will change AIs hottest problems

Most legal AI gives answers. This AI legal research tool shows the investigation behind them.

Breaking down the architectural decisions Google made — and why edge and server models are built on opposite logic.

Legal AI for solo lawyers isn’t the same as enterprise tools. Here’s what actually matters when choosing a legal AI platform.

A primary-source investigation for developers and security researchers who want the real story about what the Data says about Mythos

Legal AI is scaling fast, but not always for small firms. Here’s what BigLaw platforms mean for AI for lawyers.

Every case handoff loses context. Here’s why legal work breaks across transitions and how a legal AI platform fixes it.

AI Market Report March 2026: Google’s price war, America’s shadow-banking energy play, and why the whole AI stack just fractured into four industries — each with different economics.

Most law firm AI tools fail before the work begins. Here’s how legal AI actually handles real case records.

Saleforce TDX, Google Cloud Next and more..

Lawyers work in Word. Starting today, the full Irys sidebar lives directly inside Microsoft Word.

Featuring insights from Andrew Ng, Terence Tao, Yann LeCunn, and many other top researchers on how they use AI for better gains

Legal AI just changed: courts now care how your AI handles data, not what it produces.

Document-level legal AI helps with drafting, but breaks at deal complexity. Why AI for lawyers must move beyond single-document workflows.

Most legal AI tools rely on chat. But legal reasoning depends on continuity, and continuity depends on matter context. Here’s why chat-based tools fail without it.

From Societal Bottleneck to High-Yield Infrastructure

What Apple, GitHub Copilot, and legal AI reveal about how incumbents lose paradigm shifts
![How a Leading Venture Capitalist uses AI Agents [Guest]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!-M8X!%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252F2c03f2eb-10cb-4fa0-94b3-e79c07f6c9c1_256x256.png&w=3840&q=75)
A skeptic’s field guide to building personal agents that are powerful, practical, and safe

How Liquid AI built the Best Edge AI Model in the World. And what this reveals about the next wave of model design.

Understanding why Reasoning Models are Different from Normal LLMs and How to Prompt them.

A practical look at how debugging workflows, metrics, and automated runbooks are used to investigate slowdowns and failures in large-scale model training.
![Earth Scientist Tells You How Your Land Is Lying to You [Livestreams]](/_next/image?url=%2Fimages%2Fblog-11.png&w=3840&q=75&dpl=dpl_Bied3ZAYNWrsrNV1aTbDWtaWMxCY)
How AI turns weeks of GIS work into 10 seconds of queries

A clear guide to the new architectures battling the transformer’s memory and inference bottlenecks.

How labs differentiate when models converge, what AI coding tools actually change, and why the backlash against AI became a market force

How Mass AI Surveillance and AI Weapons Systems Can Threaten Our Freedom
![Most Important AI Updates of the week. Feb 16th 2026-Feb 22 2026 [Livestreams]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!qCU8!%2Cw_1456%2Cc_limit%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252F2352a158-b110-4fd2-95a2-0dd5c06ad763_2208x2208.jpeg&w=3840&q=75)
why AI benchmarks are failing and more

From FLOPs to GPUs to KV Cache — What Every Token Actually Costs

How to teach yourself AI- for technical folk

A deep dive into hierarchy and why present AI systems are missing it.
![Why Silicon Valley Got Industrials Wrong [Livestreams]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!J8-w!%2Cw_1456%2Cc_limit%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252Fb51977d4-15a3-46b6-bbda-05c1a2d3b24b_1608x1848.png&w=3840&q=75)
Meet Philipp Wehn, the a16z Founder using AI to improve Heavy Industries.
![Inside Zhipu: How One of China’s AI Tigers Thinks About Building Models [Livestreams]](/_next/image?url=https%3A%2F%2Fsubstackcdn.com%2Fimage%2Ffetch%2F%24s_!0Df5!%2Cw_1456%2Cc_limit%2Cf_auto%2Cq_auto%3Agood%2Cfl_progressive%3Asteep%2Fhttps%253A%252F%252Fsubstack-post-media.s3.amazonaws.com%252Fpublic%252Fimages%252F27a82974-9043-49e2-956b-2cb71e0bf711_2614x2614.jpeg&w=3840&q=75)
A candid conversation on tradeoffs, scale, and what actually matters.

How verification costs, retention curves, and stateful systems are reshaping where value accumulates

Databricks, Sakana AI, Radix, and why Investors are rushing to invest in Open Source AI

A deepdive into the Metaverse, Open Source, and how Meta is tackling their biggest challenges.
![Meet Wafer: The YC Startup Making GPUs 5x More Efficient with AI [Livestreams]](/_next/image?url=%2Fimages%2Fblog-13.png&w=3840&q=75&dpl=dpl_Bied3ZAYNWrsrNV1aTbDWtaWMxCY)
What are Kernels and Why writing them better can improve GPU usage by 5x.

Irys today announced the general availability of Irys Prime, its matter-aware legal intelligence platform that delivers jurisdiction-grounded retrieval, full audit provenance, and AI-assisted drafting designed to meet professional responsibility standards.

Most legal AI tools conflate finding relevant cases with knowing what to do with them. Irys draws a deliberate architectural boundary between the two. and it changes everything about how lawyers can trust AI in practice.

In a new analysis, Irys founder Sabih Siddiqi argues that the current legal AI market is built on a fundamental architectural mistake. and explains what it would take to build the category correctly.

Chat interfaces gave us a taste of what AI could do for legal work. But a conversation is not a matter. The next generation of legal AI has to be organized around how lawyers actually work. and that means building around the matter, not the message.

As bar associations across the country issue updated guidance on AI use in legal practice, Irys outlines how the platform was designed from the ground up to address the competence, confidentiality, and accountability obligations that govern attorney conduct.

The legal AI market has bifurcated into thin wrappers on general models and raw API access for sophisticated teams. Neither is sufficient. Law needs a purpose-built infrastructure layer. and the firms that understand this earliest will have a durable advantage.