Jong Wook Kim 💟
@_jongwook_kimMember of Technical Staff @OpenAI; previously at @nyuMARL, @SpotifyResearch, @pandoramusic, @kakaocorpglobal, and @NCSOFT
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the moat is shipping through a coup happy 1-year 🎉
It’s a good preview
🤯🤯🤯I'm shocked by the results from OpenAI's o1 model on THIS YEAR's Korean SAT exam. It got only *ONE* question wrong, placing it within the Top 4% of students. This exam was crafted by professors who were locked up in a hotel for a month, making it an unseen test set for all
and shiptober concludes: ChatGPT search Canvas for text/code editing Search your chat history Voice mode on desktop Deep iOS 18 integration (beta) Realtime API for voice apps Vision fine-tuning on GPT-4 Prompt caching for discounts Model distillation for latency and savings…
Excited to share our latest research progress (joint work with @DrYangSong ): Consistency models can now scale stably to ImageNet 512x512 with up to 1.5B parameters using a simplified algorithm, and our 2-step samples closely approach the quality of diffusion models. See more…
Introducing sCMs: our latest consistency models with a simplified formulation, improved training stability, and scalability. sCMs generate samples comparable to leading diffusion models but require only two sampling steps. openai.com/index/simplify…
chatgpt iphone integration goes live today!! it's day one but it already feels like my iphone is 10x more useful so proud of the team to get here. persistence and an unwavering commitment to shipping is all you need
openai-gradio a Python package that makes it very easy for developers to create web apps that are powered by @OpenAI API in a few lines of code pip install openai-gradio
Whisper Turbo already runs locally on macOS with mlx_whisper. Transcribes 12 minutes in 14 seconds on an M2 Ultra (~50X faster than real time). pip install mlx_whisper Example:
More details on Whisper Turbo by @OpenAI : > Whisper 'large-v3-turbo' (turbo) has 4 decoder layers, optimized from the original 32 layers > Fine-tuned on multilingual transcription data, turbo performs similarly to large-v2 across languages > Thai and Cantonese show slightly…
We fkn did it! Whisper Large v3 Turbo is in Transformers! 🔥 Drop-in replacement to Large-v3 - 809M parameters, 8x faster AND multilingual ⚡ > Uses 4 decoder layers as compared to 32 (large v3) > Supports both Timestamps (both Word and Chunk) > Compatible with Flash Attention 2…
Many such use cases
🗜️ We're introducing Model Distillation—which includes Evals and Stored Completions—a workflow to fine-tune smaller, cost-efficient models using outputs from large models. openai.com/index/api-mode…
We’ve been working closely with OpenAI for the past few months to test the new Realtime API. I’m excited to share some thoughts on the best way to productize speech-to-speech for language learning, and announce the first thing we’ve built here, Live Roleplays. 🧵
one day more! another day another destiny
All Plus and Team users in ChatGPT
The greatest compliment you can get from a competitor is them reaching out to ask if you're sure you didn't train on the test set.
advancing the frontier of legitimate procrastination
we can now solve problems that were previously intractable
But now how are we going to write honest airbnb reviews so that the hosts won’t notice
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Who to follow
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Bob McGrew
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Stack AI
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Keunwoo Choi
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Justin Salamon
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Stefan Lattner
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Prafulla Dhariwal
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Neil Zeghidour
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최형석 (Hyeong-Seok Choi)
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Magdalena Fuentes
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