This recognition is so well deserved @matei_zaharia
! We're honored to build alongside you every day
OPEN SOURCE
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Matei Zaharia Receives Well-Deserved AI Recognition
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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
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AIMock: Universal Mock Server for AI Agent Stack
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✨ Introducing AIMock – one mock server for your entire agentic stack!
— CopilotKit🪁 (@CopilotKit) 8 avril 2026
Your AI app calls LLMs, MCP tools, A2A agents, vector DBs, search, reranking, and moderation. If any of those are live in your tests, you've got flaky CI and burned tokens.
No tool mocked all of it. So we… pic.twitter.com/4k3fYPtQr5✨ Introducing AIMock – one mock server for your entire agentic stack! Your AI app calls LLMs, MCP tools, A2A agents, vector DBs, search, reranking, and moderation. If any of those are live in your tests, you've got flaky CI and burned tokens. No tool mocked all of it. So we built one. One package. One port. Plus drift detection and record & replay that nobody else ships. Zero dependencies. Open source. Mock with one command: `pnpm add @copilotkit/aimock`
→ View original post on X — @scobleizer, 2026-04-08 17:27 UTC
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Discussion on Meta’s latest model and open-weights strategy
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Seems like a good model from Meta that is still trailing the current series of releases. The most important thing to note is that it is not open weights. That was the main reason that Meta's models were so important. Without that, it is a lot harder to predict the value of Spark
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Open Models Found FreeBSD Zero-Day Vulnerability Across Tasks
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New post: We tested the Mythos showcase vulnerabilities with open models.
— Stanislav Fort (@stanislavfort) 8 avril 2026
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! pic.twitter.com/6DxKN2xJUwNew 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!
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LFM2.5-VL-450M Vision-Language Model Now Available
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Available today on @huggingface! huggingface.co/LiquidAI/LFM2…
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Liquid AI Releases LFM2.5-VL-450M Tiny Vision-Language Model
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New tiny VLM: LFM2.5-VL-450M
— Maxime Labonne @ ICLR (@maximelabonne) 8 avril 2026
> Supports bounding box prediction, object detection, and function calling
> Improved multilingual capabilities across 9 languages
> Enhanced instruction following for vision and text tasks https://t.co/diQjDO9RCX pic.twitter.com/hJqlV6YFcDNew tiny VLM: LFM2.5-VL-450M > Supports bounding box prediction, object detection, and function calling > Improved multilingual capabilities across 9 languages > Enhanced instruction following for vision and text tasks Liquid AI (@liquidai) Today, we release LFM2.5-VL-450M, a vision-language model built for real-time reasoning on edge devices. It processes a 512×512 image and returns structured outputs in ~240ms on-device. — https://nitter.net/liquidai/status/2041912441060143251#m
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MSL’s First Model Launched with Rough Edges to Polish
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9/ this is MSL's first model and there are certainly rough edges we will polish over time in model behavior. regardless—we are excited for everyone to try it!
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Dell GB10s Cluster Runs Trinity-Large 398B Model 17-18 Tokens
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3x Dell GB10s, 128GB unified memory each, 384GB memory for the cluster, mesh connected over 200Gbps QSFP, currently running Trinity-Large-Thinking (398B) Q4_K_M 17-18 t/s. Will review this model in time. Using as coding agent and via Hermes. pic.twitter.com/u2fKP1V0NE
— Harrison Kinsley (@Sentdex) 8 avril 20263x Dell GB10s, 128GB unified memory each, 384GB memory for the cluster, mesh connected over 200Gbps QSFP, currently running Trinity-Large-Thinking (398B) Q4_K_M 17-18 t/s. Will review this model in time. Using as coding agent and via Hermes.
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Open-source builders deserve 1000x more recognition and rewards
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100%! the open-source builders and maintainers should be celebrated and rewarded 1000x more!