Today I'm experimenting with Gemini 3.5 Flash and the Antigravity CLI to see how fast and how autonomously the agents can do things. – It took 20 minutes to install and run the original CompVis Stable Diffusion 1.5 repo, get the weights, debug, run inference and generate an
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LTX Studio and LTX-2.3 Bridge Idea and Use Gap
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1/ Most AI video tools still feel like demos.
— Chubby♨️ (@kimmonismus) 5 juin 2026
You type a prompt → you get a clip.
But the real bottleneck was never generation.
It was turning an idea into something usable.
With LTX Studio + LTX-2.3, that gap is basically collapsing.
The clips I just made felt… different.… pic.twitter.com/GZcBEJ1Lcw1/ Most AI video tools still feel like demos. You type a prompt → you get a clip. But the real bottleneck was never generation. It was turning an idea into something usable. With LTX Studio + LTX-2.3, that gap is basically collapsing. The clips I just made felt… different.
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AGI-pilled labs: OpenAI Codex flop vs Claude Code team approach
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There's an interesting dance of how AGI-pilled different labs are. OpenAI was too AGI-pilled as they started with Codex being a cloud product, which kind of flopped and arguably cost them the lead. At the same time, Claude Code team was slightly less AGI pilled and they built a
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VeRL-Omni: General RL Post-Training Framework
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Cool project! VeRL-Omni is a general RL post-training framework built on verl & vLLM-Omni. Handles heterogeneous pipelines, flexible reward engines, modular backends. Achieves high throughput for image/video/audio gen & understanding. Outperforms existing in efficiency. Code:
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Mythos wrote 181 Firefox exploits in testing, leading to gating.
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Mythos was never held back over timing. It wrote working Firefox exploits 181 times in testing. That's the reason it's gated.
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Deploy Deep Agents Effortlessly with Managed, Model-Agnostic Infrastructure
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Managed Deep Agents: Managed, model-agnostic infra for deep agents you can deploy with a single line of code.
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Dramatic versus boring read on Claude speeding coders
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The loop closing is the dramatic read. The boring read is Claude makes Anthropic's coders faster, which is exactly what it does for everyone else too.
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QUEBEC.AI launches Sovereign AI: Capability under control, building, governing, securing, benefiting.
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http://
QUEBEC.AI launches Sovereign AI: AI‑First sovereignty = capability under control. Data, infrastructure, agents, proof, governance. Quebec enters AI‑First sovereignty: build, govern, secure, benefit. http://
quebecartificialintelligence.com/sovereign-ai #AIFirst #QuebecAI -
Using goal.md and set_goal with codex for compactions
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the experience will get better but here’s something that’d help: 1. create a goal md and put your ramblings there
2. ask codex to use set_goal and refer to goal md and ask for approval from you before it gets set go all through compactions codex will refer to your “ramblings” -
Recurrent Neural Networks and Their Loss Functions
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Recurrent Neural Networks – Loss Functions. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Recur-NNs