I would too!

I have written very few papers solo in the 21st century and I’m quietly pleased with how all of them have aged. 💅

Probabilistic syntax 2003 https://t.co/JuqKO3Czz0

Local Textual Inference: It’s hard to circumscribe, but you know it when you see it – and NLP needs it 2006 https://t.co/E1aCytwSgJ

Part-of-speech tagging from 97% to 100%: Is it time for some linguistics? 2011 https://t.co/avB50bILQo

Last words: Computational linguistics and deep learning 2015 https://t.co/8Iqd7RGb3C

Human language understanding & reasoning 2022 https://t.co/mXIYSRNA0O

@srchvrs: I would encourage everyone to re-read @chrmanning 's own opinion piece from nearly 10 years ago where he warns about the "Deep learning tsunami" and NLP being sort of a rabbit in the headlights. In 2015 we were discussing context-free word embeddings. Now we have usable coding agents. https://t.co/aCYSHWl4xP

AI’s next chapter will be defined not only by technical progress, but by how responsibly and thoughtfully we bring it into the world.

I’m looking forward to be speaking on stage at Ai4 2026, Aug 4–6 in Vegas. Register here at https://t.co/iAWUZf994t

#Ai42026

Wide Research is now available in Perplexity Agent API

@perplexitydevs: Narrow search is essentially solved. That's why simple browse/search benchmarks are so saturated.

The frontier is wide research: find every qualifying result and back each one with evidence.

Today we launched WANDR, a 500-task benchmark built on real knowledge work. It's difficult even for today's most powerful models.

Perplexity Agent API's Search as Code architecture excels on WANDR because it allows the model to design the research once and then deterministically execute it at scale without overwhelming the model’s context.

Using wide research in your existing agent research workflows? Try out our wide-research preset in Agent API: https://t.co/6EQOeJ7Sda

WANDR Research Article: https://t.co/p9EwcNq6il Github Repo: https://t.co/LfxJwfekif

How to Build an AI Agent That Works in Loops

is this useful?

@spiritbuun: Introducing a new KV format: VBR (Variable Bit Rate) VBR dynamically quantizes your KV cache layer-by-layer as your session grows, giving you the highest quality possible within your VRAM constraints. This is my dream format. Pushed to master. Available now. 1/15 🧵 https://t.co/8eisyv9UDx

The World's Strictest Law on Human-Like AI

Aligned with @matanSF's intuition that in the next 12 months, 90% of tokens could be going to open models.

We're seeing more and more companies using frontier APIs for experimenting and open-source or private models for production and larger workloads! https://t.co/RGLEw1exVA

Great point 3 by @RichardSocher —likely many bullshit jobs https://t.co/FGMRAW5Jq0 won’t be impacted by AI either 🤔

@RichardSocher: There are at least a few reasons for why the incredible progress in AI hasn't yet resulted in a massive increase in GDP (some from Captain Obvious but number 3 is less intuitive to many smart people).

1. AI replaces some steps in complicated processes but companies are still doing mostly similar things and adoption and rethinking entire industries are slow.
2. Startups that replace everything (eg AI native law firm that is much cheaper) still need to ramp GTM, sales, etc

But more importantly and surprising to many in Silicon Valley:

3. A huge chunk of the economy just does not require that much intelligence and won't materially change at its core with intelligence being abundant and cheap, eg.

• tourism - people will want to see the pyramids with or without AI,
• real estate - people want to live in hip and safe neighborhoods, AirBnB, rentals, etc.
• luxury goods and status symbol bs, eg fancy handbags, clothes, overpriced cars, etc
• food and large parts of the food supply chain (yes, I love AI for agriculture but crops and cows still need time to grow, etc)
• sports and much of entertainment
• oil drilling, tree growing/logging for construction, most of mining
• etc

If your existing economy depends mostly on these types of industries, AI won't impact it that much.

But there's a whole new economy of knowledge work, research heavy industries, deep tech, online and digital work etc that will massively benefit and outgrow these existing industries.

Breaking: Demis Hassabis endorses preflight safety testing for AI

or maybe let's make sure the most important technology in the history of humanity is not controled by just 4 men? Aka let's push for open science & open-source AI to distribute capabilities, power and wealth!

@mdudas: not great that 3 of the 4 men controlling the most important technology in the history of humanity all hate each other and are beefing nonstop

may sir demis save us all

How to use GPT-5.6

Sometimes, the optimal action is no action.