Turing Post
@TheTuringPost

On X we surface the AI research that matters and explain the ideas behind it. In the newsletter, we connect the dots between AI’s past, present, and future ⬇️

 Join over 115,000 readers
turingpost.com/
Joined June 2020
7,715 Photos and videos
Article

Jev & RLCD: New AI or Brilliant Packaging?

Why Jev – TypeSafe’s System One Model – caught developers’ attention, which older ideas it combines, and what you can already build without it TypeSafe just launched their new, what they call,
7
21
5,550

What Happens After You Tell an AI Agent It’s Wrong?

What to change in its memory, instructions, tools, or model – and how to test whether the fix holds. Enterprise lessons from Dreamforce for your own workflows. *AI Builds AI, Episode 2.* I am at

3
2
2,908
Article

Guide: Test-Time Training – A Model That Changes While You Use It

How models can keep learning during inference – and why test-time training could be a key to overcome the limitations of agents and world models. Today we want to start from a quick analysis of
4
41
4,772
Article

AI Builds AI: What Is Actually Improving?

Triton's creator on why OpenAI is handing GPU decisions back to models with Gluon, and what still has to be true before a faster kernel counts as progress. TL;DR: AI is already helping improve the

3
1
7
3,456
Article

The Missing Pieces in Recursive Self-Improvement

TL;DR: Current AI agents can iterate and improve results, but rarely rethink the strategy behind that improvement. New research explores how to fix this limitation: Metaⁿ recursively adds layers that

3
10
110
8,181
Article

Can AI Simulate 8 Billion People? Inside Simile’s $2B Bet

How Stanford’s Generative Agents research grew into @simile_ai, why simulation is attracting capital, what the 85% claim means, and what recent papers reveal For several years, we have kept

7
5
17
3,248
Article

How to Hire for AI (and Get Hired): The Four Roles of Intelligence Transformation

95% of AI pilots show no P&L impact. What's missing is not the model but the people: AI Operations Leads, Forward-Deployed Engineers, semantic modelers, evals engineers TL;DR: New AI roles are forming

6
1
3
3,831
The Era of Mechanical Translation and How It Crashed
Article

The Era of Mechanical Translation: How Machine Translation Began and Crashed (History of LLMs #1)

How mechanical translation sparked the first AI boom, why it collapsed after the ALPAC report, and how it laid the foundations for modern large language models. Why should everyone know about it? “To

2
2
15
3,364
Article

How Local AI Ecosystems Are Rewriting the Global AI Assistant Race

What Naver, Yandex Alice AI, China’s platform companies, and India’s fragmented market tell us about the shift from AI answers to AI actions After reading Sensor Tower’s 2026 report, we are reviving

1
1
4
3,265
Article

AI Saved Time.
Where Did the Value Go?

TL;DR  AI can make individual tasks faster without improving the business. Value appears only when saved effort becomes usable capacity, the organization deliberately absorbs that capacity, and a

1
1
9
3,079
Article

What is Neurosymbolic AI? Your Ultimate Guide

What’s most remarkable about neurosymbolic AI? It brings us even closer to human-like reasoning, mimicking how people use both logic and intuition in decision-making. Neurosymbolic AI combines two
6
16
3,142
Article

How Responsible AI Changes In The Agent Era

Responsible AI is becoming infrastructure for AI agents: runtime controls, system accountability, human oversight, and safeguards for tools that act For a long time, Responsible AI sounded like

1
9
32
3,352
Load more