Rach (@rachpradhan) 's Twitter Profile
Rach

@rachpradhan

@nusingapore '24 | Solo hack wins—CalHacks x2, HTN x3 | Memb. of Technical @menloresearch | linkedin.com/in/rachpradhan

ID: 1670871992390795264

linkhttps://rach.codes calendar_today19-06-2023 19:11:45

692 Tweet

263 Followers

203 Following

Black Forest Labs (@bfl_ml) 's Twitter Profile Photo

Today we are releasing FLUX.1 Krea [dev] - a new state-of-the-art open-weights FLUX model, built for photorealism. Developed in collaboration with KREA AI, this model is focused on images with unique aesthetics. No “AI look”, no blown-out highlights, just natural detail.

Qwen (@alibaba_qwen) 's Twitter Profile Photo

🦥 Qwen3-Coder-Flash: Qwen3-Coder-30B-A3B-Instruct 💚 Just lightning-fast, accurate code generation. ✅ Native 256K context (supports up to 1M tokens with YaRN) ✅ Optimized for platforms like Qwen Code, Cline, Roo Code, Kilo Code, etc. ✅ Seamless function calling & agent

🦥 Qwen3-Coder-Flash: Qwen3-Coder-30B-A3B-Instruct
💚 Just lightning-fast, accurate code generation.
✅ Native 256K context (supports up to 1M tokens with YaRN)
✅ Optimized for platforms like Qwen Code, Cline, Roo Code, Kilo Code, etc.
✅ Seamless function calling & agent
Cerebras (@cerebrassystems) 's Twitter Profile Photo

🟪 Qwen3-235B Thinking is live on Cerebras 1700 TPS • 131K Context • 1.7s time-to-full-answer $0.6 | $1.2 per M tokens Try chat: inference.cerebras.ai Get API key: bit.ly/3GKjbfS Pay-as-you-go via Hugging Face

🟪 Qwen3-235B Thinking is live on Cerebras
1700 TPS • 131K Context • 1.7s time-to-full-answer
$0.6 | $1.2 per M tokens
Try chat: inference.cerebras.ai
Get API key: bit.ly/3GKjbfS
Pay-as-you-go via <a href="/huggingface/">Hugging Face</a>
👋 Jan (@jandotai) 's Twitter Profile Photo

You can now get images in your Jan chats. Ask things like: "Get images of 3 best sellers from @levelsio store" Charts, screenshots, product photos - just ask. If your MCP returns images, Jan shows them. - Model: Jan-nano-128k - MCP: Fetch

Rach (@rachpradhan) 's Twitter Profile Photo

its so interesting that what the common person calls generative ai has a very stiff, non-generative structure from infrastructure to training runs, to their architectures