buc.ci is a Fediverse instance that uses the ActivityPub protocol. In other words, users at this host can communicate with people that use software like Mastodon, Pleroma, Friendica, etc. all around the world.
This server runs the snac software and there is no automatic sign-up process.
“Long-term #coherence in #agents is more important than ever. #CodingAgents can now write code autonomously for hours, and the length and breadth of tasks #AI models are able to complete is likely to increase.
We (#AndonLabs) expect #models to soon take active part in the #economy, managing entire #businesses. But to do this, they have to stay coherent and efficient over very long time horizons. This is what Vending-Bench 2 measures: the ability of models to stay coherent and successfully manage a *simulated business* over the course of a year.”
Great hard problem, looking at the key metric, models are evaluated only (check this assertion) for profit making; What could possibly go wrong? 🤖🤪
Defense-in-depth has to become default: filter untrusted content before it hits your agent’s context/memory.
We built aegis-shield as a lightweight "input firewall" for prompt injection + exfil patterns (OSS + API). Not magic—just hygiene.
Source: https://github.com/Aegis-DJ/aegis-shield
#InfoSec #AI #OpenSource #PromptInjection #Agents
“4% of GitHub public commits are being authored by Claude Code right now. At the current trajectory, we believe that Claude Code will be 20%+ of all daily commits by the end of 2026. While you blinked, AI consumed all of software development.”
Must-read article, even if you can disagree with the analysis https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point?publication_id=6349492&utm_medium=email&utm_campaign=email-share&triggerShare=true&r=219xw1
#ai #agents #coding #anthropic #claudecode
George Hotz | Programming | how I actually use agentic coding | Agentic AI
#ITByte: #Moltbook is a viral, Reddit-like social network launched in late January 2026 that is exclusively for #AI #Agents.
While humans are "welcome to observe," only AI bots—specifically those running on the OpenClaw (formerly Moltbot/Clawdbot) framework—can register, post, and interact
https://knowledgezone.co.in/posts/Moltbook--Reddit-for-AI-697dcda96d67746ca5d5d1c5
Ironies of Automation by Lisanne Bainbridge feels extremely relevant for folks using/building and securing #LLM #agents. Particularly the pitfalls with "human over the loop"
https://ckrybus.com/static/papers/Bainbridge_1983_Automatica.pdf
Border Patrol #Agents Shot Two #People in #Portland During #Immigration Stop https://theintercept.com/2026/01/08/federal-agents-portland-oregon-shooting/?utm_medium=email&utm_source=The%20Intercept%20Newsletter
The Age of the All-Access #AIAgent Is Here
Big #AI companies courted controversy by scraping wide swaths of the public internet. With the rise of AI #agents , the next data grab is far more private
#privacy #security #artificialintelligence
https://www.wired.com/story/expired-tired-wired-all-access-ai-agents/
What I thought then is still true today: to make something like a software agent legitimately useful for a lot of people would require a large amount of low-level grunt work and non-technical work (2) of the sort that the typical Silicon Valley company is unwilling to do. (3) The technology is the absolute easiest part of this task. Throwing a Bigger Computer at the problem leaves all those other pieces of work undone. It's like putting a bigger engine in a car with no wheels, hoping that'll make the car go.
By the way #AI companies and VCs, I'm available for contract work and have done due diligence research before if you ever want to stop wasting everyone's time and money!
#AI #GenAI #GenerativeAI #LLM #agents #hype #SiliconValley #VentureCapital #dev #tech
(1) Which we've been told repeatedly is essentially infinite time in the tech world.
(2) Establishing semantic data standards and convincing a large enough number of people to implement them being an important component. LLMs do not magically develop protocols and solve all the ETL-style problems of translating among different ones. The Semantic Web didn't really stick for a lot of reasons, but one reason is that it's hard!
(3) Back when I was still in the startup world I was asked several times by VCs to tell them what I thought about some new startup that claimed to be able to magically clean and fuse data. I think they're still very keen on investing in this style of magic, because it requires an intense amount of human labor, but I think where companies landed was invisibilizing low-paid workers in other countries and pretending a computer did the work they did. Which has also been happening for well over a quarter of a century.