We absolutely LOVE local models. Have been talking about this for years, it is my favorite thing. Most people cannot afford luxury AI tokens. Yet, everyone on earth should have a personal AI. The only way that this happens for EVERYONE ON EARTH is with amazing local models. Peter Steinberger 🦞 (@steipete) Some folks try to spin a narrative that I don't like local models, meanwhile I spent a lot of time making it easy to use OpenClaw with them. Latest release adds support for inferrs, which is a new super efficient TurboQuant inference server: docs.openclaw.ai/providers/i… — https://nitter.net/steipete/status/2041935840935371034#m
SOFTWARE
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Open Source Software Update Practices and Community Standards
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Similar issue here. Pretty much everyone in the field had similar concerns; anyone with substantial open source software had a mailing list; software updates generally followed a common format.
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Local AI Models Essential Backup When Cloud Services Fail
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At 4 p.m. today @NousResearch's CTO will be on an audio space here today to talk about Hermes.
— Robert Scoble (@Scobleizer) 8 avril 2026
Why is that important? We all need to move to local models, at least as a backup for when the big models in the cloud are down. https://t.co/rTVqP36vULAt 4 p.m. today @NousResearch's CTO will be on an audio space here today to talk about Hermes. Why is that important? We all need to move to local models, at least as a backup for when the big models in the cloud are down. BridgeMind (@bridgemindai) Claude Code is down again. This is a $200/month product. Developers are building businesses on this infrastructure. Every outage is lost productivity and lost revenue. Anthropic, you just launched Claude Mythos for AWS, Apple, and Microsoft. Maybe make sure your paying customers can use it. — https://nitter.net/bridgemindai/status/2041935526962315294#m
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NVIDIA Advances AI Robotics for Agriculture and Solar Energy
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NVIDIA spotlights major advances pushing AI into real-world robotics, from simulation-first training to scalable deployment in agriculture, energy, and households.
— Chubby♨️ (@kimmonismus) 8 avril 2026
Breakthroughs like foundation models, synthetic environments, and edge AI (e.g., Jetson and Isaac platforms) are… pic.twitter.com/6F7SJaV6HKNVIDIA spotlights major advances pushing AI into real-world robotics, from simulation-first training to scalable deployment in agriculture, energy, and households. Breakthroughs like foundation models, synthetic environments, and edge AI (e.g., Jetson and Isaac platforms) are helping robots learn faster, adapt better, and perform complex tasks autonomously. I love those two examples 🙂 Building solar autonomously and increasing producoty in agriculture are so much beneficial for society.
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Claude Launches Managed Agents for Production Deployment
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This is actually huge:
— David Soria Parra (@dsp_) 8 avril 2026
It should be simple to build and deploy long running agents, and add its behaviour to your application and organisation. We are launching Claude Managed Agents to let you do exactly that.
I can't wait to see what all of you are going to build with it. https://t.co/HViC15z2YgThis is actually huge: It should be simple to build and deploy long running agents, and add its behaviour to your application and organisation. We are launching Claude Managed Agents to let you do exactly that. I can't wait to see what all of you are going to build with it. Claude (@claudeai) Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform. — https://nitter.net/claudeai/status/2041927687460024721#m
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Managed Agents: Fast Development and Robust Production Deployment
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I've found Managed Agents to somehow be both the fastest way to hack together a weekend agent project and the most robust way to ship one to millions of users.
— Alex Albert (@alexalbert__) 8 avril 2026
It eliminates all the complexity of self-hosting an agent but still allows a great degree of flexibility with setting… https://t.co/DFcEVauM8TI've found Managed Agents to somehow be both the fastest way to hack together a weekend agent project and the most robust way to ship one to millions of users. It eliminates all the complexity of self-hosting an agent but still allows a great degree of flexibility with setting
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Runway AI Web App and API Now Available for Builders
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Available to try now on the web app and to start building via the Runway API. Learn more:
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OpenClaw Adds Lightweight Inferrs Provider for AI Inference
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Also check out https://
docs.openclaw.ai/providers/infe
rrs
… – I added that on Monday, super lightweight! -
OpenClaw Adds Inferrs Support for Efficient Local Model Inference
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Some folks try to spin a narrative that I don't like local models, meanwhile I spent a lot of time making it easy to use OpenClaw with them. Latest release adds support for inferrs, which is a new super efficient TurboQuant inference server: https://
docs.openclaw.ai/providers/infe
rrs
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Open-source LLM frameworks accelerate on NVIDIA platform
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Open-source software never stops. It only accelerates.
— NVIDIA (@nvidia) 8 avril 2026
Dynamo, @sgl_project, TensorRT LLM, and @vllm_project are constantly optimized by a vast ecosystem of developers building on top of the NVIDIA platform.
The result: your token output keeps improving and token cost keeps… pic.twitter.com/DB1ND736ugOpen-source software never stops. It only accelerates. Dynamo, @sgl_project, TensorRT LLM, and @vllm_project are constantly optimized by a vast ecosystem of developers building on top of the NVIDIA platform. The result: your token output keeps improving and token cost keeps decreasing on the same hardware resources while your developer velocity stays at its peak. Build on the foundation continuously optimized by the world’s best developers. ⚡ 🔗 nvda.ws/3OsTQL0