Grammarly acquires AI email client Superhuman | TechCrunch

elvis on Twitter / X

Small Language Models are the Future of Agentic AILots to gain from building agentic systems with small language models.Capabilities are increasing rapidly!AI devs should be exploring SLMs.Here are my notes: pic.twitter.com/7dhmz9V2jB— elvis (@omarsar0) July 1, 2025

My AI Content Journey

I apologize ahead of time, what follows has no tooling applied to it. No grammar checks, no AI, and...

Michael R. Crusoe (@biocrusoe@fairpoints.social)

Oh, I like this part > No AI-generated text in human-to-human communication > When our maintainers volunteer their time to review your issue, PR, or proposal, they do not want to talk to a machine. This is a basic principle of respect. https://mastodon.gamedev.place/@godotengine/116839550229253906

Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Large Language Model (LLM) agents, acting on their users' behalf to manipulate and analyze data, are likely to become the dominant workload for data systems in the future. When working with data,...

Big AI is accelerating the metacrisis: What can we do?

The world is in the grip of ecological, meaning, and language crises that are converging into a metacrisis. Big AI is accelerating them all. LLM engineering sits at the core. Despite the public good motives of language engineers and the promise of LLMs, this work is being leveraged to create unprecedented wealth and power for a handful of individuals and corporations while causing existential harm to life on earth. As a profession, we urgently need to come together to explore alternatives and to design a life-affirming future for our field of natural language processing that is centered on human flourishing on a living planet.

Writing with AI help can shift your opinions | Cornell Chronicle

Artificial intelligence-powered writing assistants that autocomplete sentences or offer “smart replies” not only put words into people’s mouths, they also put ideas into their heads, according to new research.

Harper | Privacy-First Offline Grammar Checker

Blazing-fast, open-source grammar & spell checking that never sends your words to the cloud.

Why can’t powerful AIs learn basic multiplication?

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix it

A Survey on Large Language Model based Autonomous Agents

Autonomous agents have long been a prominent research focus in both academic and industry communities. Previous research in this field often focuses on training agents with limited knowledge within isolated environments, which diverges significantly from human learning processes, and thus makes the agents hard to achieve human-like decisions. Recently, through the acquisition of vast amounts of web knowledge, large language models (LLMs) have demonstrated remarkable potential in achieving human-level intelligence. This has sparked an upsurge in studies investigating LLM-based autonomous agents. In this paper, we present a comprehensive survey of these studies, delivering a systematic review of the field of LLM-based autonomous agents from a holistic perspective. More specifically, we first discuss the construction of LLM-based autonomous agents, for which we propose a unified framework that encompasses a majority of the previous work. Then, we present a comprehensive overview of the diverse applications of LLM-based autonomous agents in the fields of social science, natural science, and engineering. Finally, we delve into the evaluation strategies commonly used for LLM-based autonomous agents. Based on the previous studies, we also present several challenges and future directions in this field. To keep track of this field and continuously update our survey, we maintain a repository of relevant references at https://github.com/Paitesanshi/LLM-Agent-Survey.

10 things I learned from burning myself out with AI coding agents

Opinion: As software power tools, AI agents may make people busier than ever before.

Signal creator Moxie Marlinspike wants to do for AI what he did for messaging

Introducing Confer, an end-to-end AI assistant that just works.

On Programming with Agents

From the Zed Blog: Agents handle typing so we can focus on thinking.

Josh Miller on Twitter / X

Here's what @browsercompany's AI eng & ML teams are working on for @diabrowser right now:(This is a pitch to come work for us; info at end)🤖 COMPUTER USE – we've built our own bespoke APIs on top of Chromium to optimize latency, accuracy, and cost of computer-using agents.… pic.twitter.com/c989h1TYnQ— Josh Miller (@joshm) August 19, 2025