By
–
Introducing Contra Labs.
— ben (@contraben) 31 mars 2026
The first frontier data and evaluation lab for Creative AI. pic.twitter.com/4AYT4WG1FF
Introducing Contra Labs. The first frontier data and evaluation lab for Creative AI.
→ View original post on X — @aihighlight, 2026-03-31 16:44 UTC
By
–
Siri will soon be able to handle multiple requests at once in iOS 27 as reported by Bloomberg.
By
–
How do people get work done using Claude? I signed up for the $100/mo account and it ran out of limit while creating a pack of 6 slides! I pay $200/mo for ChatGPT/Codex and have NEVER run out of any limit even though I'm working on three projects at the same time. [Translated from EN to English]
→ View original post on X — @learnopencv, 2026-03-31 16:31 UTC
By
–
’s here to stay – introducing Veo 3.1 Lite, our most cost efficient video generation model to date, and on April 7th we are also reducing the price for Veo 3.1 Fast : )
→ View original post on X — @demishassabis, 2026-03-31 16:20 UTC
By
–
New LangChain Academy Course Launch: Monitoring Production Agents
— LangChain (@LangChain) 31 mars 2026
Shipping agents to production is hard. Unlike traditional software, agents are non-deterministic. Users can say anything, and the same input can produce different outputs.
You can’t rely on pre-launch testing… pic.twitter.com/rbj9Ror8Og
New LangChain Academy Course Launch: Monitoring Production Agents Shipping agents to production is hard. Unlike traditional software, agents are non-deterministic. Users can say anything, and the same input can produce different outputs. You can’t rely on pre-launch testing
By
–
I’ve spent at least 100 hours setting up, training, and working with @openclaw Read the docs. Peeked into the source code. Edited config files by hand. Walked friends though their setup. Then, I wrote down everything I know. Here it is: The Ultimate 0 > 🦞 Guide ty ty to @lennysan @nateliason @davemorin @steipete @lindsmccallum @elawless for early feedback. gl hf snap snap 🦞lennysnewsletter.com/p/openc… Lenny Rachitsky (@lennysan) OpenClaw: The complete guide @ClaireVo has just put together the definitive guide to getting started with and mastering OpenClaw. Building on our podcast episode, this post covers everything you need to know, from first install to multi-agent setups, plus the real costs and security gotchas most people skip over. Whether you’re brand new to OpenClaw or already running one, Claire’s guide will level you up. Find it here 🦞: lennysnewsletter.com/p/openc… — https://nitter.net/lennysan/status/2039002789666562165#m
→ View original post on X — @paulroetzer, 2026-03-31 16:06 UTC
By
–
Build Your Brand with Replit – Agent 4 Buildathon https://
x.com/i/broadcasts/1
AxRnaYzZoRxl
…
By
–
OpenClaw: The complete guide @ClaireVo has just put together the definitive guide to getting started with and mastering OpenClaw. Building on our podcast episode, this post covers everything you need to know, from first install to multi-agent setups, plus the real costs and
By
–
Semantic collapse is killing production agents and this team is actually fixing it at the root.
— AI Highlight (@AIHighlight) 31 mars 2026
Not patching it. Fixing it. https://t.co/4Vbq4v9q5Y
Semantic collapse is killing production agents and this team is actually fixing it at the root. Not patching it. Fixing it. Nishkarsh (@contextkingceo) AI agents are failing in production…not a surprise. As you scale your knowledge base, embeddings start creating noise. It’s called ‘semantic collapse’ – when conversations run too long, you have hundreds of PDFs, millions of data points to give to your AI. Your AI can’t flag it because it doesn’t know it’s hallucinating. Similarity gets passed off as relevance. Fix your context. Make your agents work. Build intelligent AI. If your AI is plateauing at 50% accuracy and hallucinations are still a problem, let's talk. Book a 20 minute demo with the link in the next thread. We'll dig into your setup and find out how we can help. — https://nitter.net/contextkingceo/status/2038979631144116613#m
→ View original post on X — @aihighlight, 2026-03-31 15:31 UTC
By
–
Excited about our new paper: AI Agent Traps AI agents inherit every vulnerability of the LLMs they're built on – but their autonomy, persistence, and access to tools create an entirely new attack surface: the information environmental itself. The web pages, emails, APIs, and databases agents interact with can all be weaponised against them. We introduce a taxonomy of six classes of adversarial threats – from prompt injections hidden in web pages to systemic attacks on multi-agent networks. I’m outlining the six categories of traps in the thread bellow
→ View original post on X — @debashis_dutta, 2026-03-31 15:27 UTC