Experimenting in AI Founding DevRel @LiteLLM

Vancouver, Canada
Misbah Syed retweeted
Day 0 support for GPT-6.1 Sol on LiteLLM! Read the full blog post here: docs.litellm.ai/blog/gpt_6_1…
GPT-6.1 Sol: near-Astra intelligence for a fifth of the price. It’s the most cost-efficient model for its performance available today.
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How come these buttons show up at the same location on codex and claude app, but do completely different things. @jxnlco @trq212 can y'all sort this out?
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Opus 5.5 is incredible at animations tried the circulating prompt on @LiteLLM: "make a dynamic 15-second motion graphics video that shows what an incredible motion designer you are, like it's your showreel for a résumé. go all out."
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Opus 5.5 is def very good with animations!
Gemini 3.8 Flash TTS + Opus 5.5 = Animated explainers! Grandpa explains how rotary phones worked back in the day. Prompted Opus 5.5 to explain rotary phones as a conversation, using Gemini 3.8 Flash TTS via @LiteLLM gateway.
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Gemini 3.8 Flash TTS + Opus 5.5 = Animated explainers! Grandpa explains how rotary phones worked back in the day. Prompted Opus 5.5 to explain rotary phones as a conversation, using Gemini 3.8 Flash TTS via @LiteLLM gateway.
Introducing Gemini 3.8 Flash and Flash-Lite TTS, our new SOTA text to speech model with: - a new voice design experience - 2,000+ production ready voices - voice replication - support for 100 languages - voice remixing (soon) - #1 spot on Hume AI's voice benchmarks and more!!
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Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family. It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
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Congrats! Made a skill to mimic the launch video style here:
Claude Opus 5.5 is INSANE at recreating animations and video edits! I asked Claude Opus 5.5 to mimic its launch video and it one-shotted this video. Turned it into a skill here: github.com/misbahsy/claude-h… Used it for the announcement of Day 0 support on @LiteLLM
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Claude Opus 5.5 is INSANE at recreating animations and video edits! I asked Claude Opus 5.5 to mimic its launch video and it one-shotted this video. Turned it into a skill here: github.com/misbahsy/claude-h… Used it for the announcement of Day 0 support on @LiteLLM
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family. It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
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The reframe is right. People keep asking whether Jev replaces GPT, when the better question is how many places in your stack are using an LLM just to pick an enum. Structured decisions with confidence are a cleaner fit for retries, routing, and tool selection than another free-form completion you have to regex afterward. Bookmarking the guide. The useful test for me will be whether the confidence scores stay calibrated once you leave the demo prompts.
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Agreed! That’s what devs should know about Jev, and how they could combine LLMs + Jev for different use cases.
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Designing at the speed of voice. Speaking the layout into existence into existence with Jev, @shadcn and a local transcription model.
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Nice! Worked on something similar with voice and gestures
Jev is definitely insane! What if you could just point and build a website? Uses json-render @ctatedev @LiteLLM gateway to call Jev
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if you tried hyperframes, you would know the agentic video stack is being built on code-gen but SWE-bench code v.s. code-to-video that feels alive are two different things we built the Code2Video Bench, in collab w/ Google DeepMind & @Kaggle frontier labs can finally get good at agentic video tasks
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This was definitely needed, have been using hyperframes quite a bit for videos and a separate bench def makes sense
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does jev stay predictable when typed questions expand across larger production workflows?
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Yes, and the good thing is answers come back with probabilities and a confidence score, so you can inspect even in prod
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Misbah Syed retweeted
wow!
Jev is definitely insane! What if you could just point and build a website? Uses json-render @ctatedev @LiteLLM gateway to call Jev
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Jev is a super fast video editor! Edited this entire video in less than a minute, and here's how: First, I transcribed raw vid locally with word timestamps, cut it into 16 beats, then asked Jev these seven questions about every beat: does this line need a visual at all? which card template? (18 to pick from, premade) which text effect? which transition into it? how hard do we punch in on the face? which sound effect? which word gets emphasised? Plus five about the video as a whole. Style, colour, caption treatment, energy, progress bar. 117 questions answered by jev < 1 s ~ $0.0017 Using @typesafeai via @LiteLLM
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Best overview of Jev to date! Thank you @MisbahSy!
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Here's how the full breakdown on my local machine
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Jev is definitely insane! What if you could just point and build a website? Uses json-render @ctatedev @LiteLLM gateway to call Jev
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May I ask how to achieve all this?
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Lemme see if I can cleanup the repo and share
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New experiment: json-render + jev The future Generative UI is instant Your components, your actions, your design system Rendered in milliseconds
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Voice + Generative UI = real vibe coding
Jev is definitely insane! What if you could just point and build a website? Uses json-render @ctatedev @LiteLLM gateway to call Jev
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