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.
OPEN SOURCE
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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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Multica: Open Source Claude Managed Agents Launch
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We created the open source version of Claude Managed Agents.
— Jiayuan (JY) Zhang (@jiayuan_jy) 8 avril 2026
Introducing Multicahttps://t.co/mLCPJe965E https://t.co/7BjZ9DUh2i pic.twitter.com/EyLwrfmgOjWe created the open source version of Claude Managed Agents. Introducing Multica github.com/multica-ai/multic… 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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Open Models Discover FreeBSD Zero-Day Vulnerabilities
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this is interesting.
— Gary Marcus (@GaryMarcus) 8 avril 2026
1. Did Anthropic forget to run a control?
2. Where does this leave us? https://t.co/frF8gNNrvOthis is interesting. 1. Did Anthropic forget to run a control? 2. Where does this leave us? Stanislav Fort (@stanislavfort) New post: We tested the Mythos showcase vulnerabilities with open models. They recovered similar scoped analysis! 8/8 models found the flagship FreeBSD zero-day, including a 3B model. Rankings reshuffle completely across tasks => the AI cybersecurity frontier is super jagged! — https://nitter.net/stanislavfort/status/2041922370206654879#m
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Small Open Models Detect Major Cybersecurity Vulnerabilities Effectively
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"But here is what we found when we tested: We took the specific vulnerabilities Anthropic showcases in their announcement, isolated the relevant code, and ran them through small, cheap, open-weights models. Those models recovered much of the same analysis. Eight out of eight models detected Mythos's flagship FreeBSD exploit, including one with only 3.6 billion active parameters costing $0.11 per million tokens. A 5.1B-active open model recovered the core chain of the 27-year-old OpenBSD bug." aisle.com/blog/ai-cybersecur…
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Hermes Ecosystem Map: Comprehensive Guide to All Projects
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Introducing the Hermes Ecosystem Map I was an early user of Hermes Agent from @NousResearch and have been a power user ever since But as the ecosystem has grown, its been hard to keep up, so I did some research: > Scraped every GitHub repo related to Hermes > Filtered out repos that looked unfinished or had 0 stars > Built an ecosystem map of everything created and organized it all by category > Published a website where you can see all the projects with star ratings, and if you hover over you get a short description and link to the repo Then I had Claude run a security check on every repo to exclude anything that looked sus Link is in the replies, and also open sourced the repo so feel free to submit PRs if you see anything missing Oh, and the repo has a /research folder that includes a scrape of everything I could find that's been published on Hermes – you can clone that and add it to your personal knowledge base / wiki
→ View original post on X — @scobleizer, 2026-04-08 17:54 UTC
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Local AI Models vs Top-Tier Performance Limitations
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Both can be true: I want really powerful local models, I'm also BOMBARDED with emails/messages of people complaining how even the top tier models are not good enough, make mistakes or don't follow instructions well enough.
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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
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Matei Zaharia ACM Prize Computing Pioneer Databricks Spark
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I had a fascinating conversion this week with a computing pioneer, Matei Zaharia, the CTO of Databricks, who is the recipient of this year’s ACM Prize in Computing, a kind of genius award, in part because of his development of the Spark open-source software. Out chat confirmed my
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Supporting Self-Hosted LLMs and Local Model Progress
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I spent a lot of time to support self hosted models, lm studio, we even have a maintainer from @ollama on the team. I love all the progress local models make!