OpenAI: "Today, we shared the first measured performance results from Jalapeño, OpenAI’s first custom inference chip. On InferenceX, a public benchmark using GPT‑OSS 120B, Jalapeño delivered more peak throughput per kilowatt and lower token latency than the commercial systems in the comparison. It also performed strongly on DeepSeek R1 and Kimi K2, showing that its gains extend across model families." "This is Jevons paradox: greater efficiency makes more uses worthwhile, expanding consumption and creating new economic activity through more work completed, better decisions, more products launched, and more revenue generated." "AI played a direct role in Jalapeño’s development, enabling the team to move from initial design to tapeout in nine months by exploring implementations, shortening design, measurement, and verification loops, and continuously iterating on model workloads. AI also helped optimize the chip’s arithmetic circuits, allowing the team to fit more compute performance into the chip on schedule." "We plan to begin deploying Jalapeño within OpenAI’s compute infrastructure by the end of the year. It is the first generation of a multigenerational roadmap: Gen 2 is deep in development, and Gen 3 is taking shape. Each generation will build on what we learn and further advance both efficiency and speed." "As we prepare for deployment, we are continuing production qualification, maturing the software, preparing to operate Jalapeño at scale, and validating performance across more models."

Series T, that’s a wrap! Onlabにとって新たな挑戦となった「Series T – Post AGI from Kyoto」。あの日の熱気と、そこに集まった挑戦者たちの姿を動画に収めました。 Series Tの次回に向けた構想も、すでに動き始めています。 Onlabアクセラプログラム第32期の募集もまもなくスタート。Series TでOnlabを知ってくださった皆さんと、次は第32期でご一緒できることを楽しみにしています

OpenAI Japan の YouTube チャンネルの新着動画📹️ .@yuichielectric による Codex の Sites プラグインを使った Web サイト作成手順の日本語解説です👉️ piped.video/qpbiG_1J1XY?si=udiX… わかりやすく解説しているので、ぜひご覧ください！ #OpenAIJapanNow #Codex

Series T Top 50 Gathering in Shibuyaを開催しました! 14カ国・約280件以上の応募からTop 50に選ばれた応募者とOpenAIのメンバーが集まり、AIがもたらす変化、いま直面している挑戦について語り合う、熱量の高い夜となりました。ご参加いただいた皆さま、OpenAIの皆さま、ありがとうございました！

Startup founders - @OpenAI and @OpenNetwork_Lab are hosting a Startup pitch contest in Kyoto with OpenAI providing $1M USD in API credits across the program, including $100,000 USD for the 1st place winner! 🇯🇵 Apply NOW ! 👉 luma.com/wdfs5azz

Startup founders - @OpenAI and @OpenNetwork_Lab are hosting a Startup pitch contest in Kyoto with OpenAI providing $1M USD in API credits across the program, including $100,000 USD for the 1st place winner! 🇯🇵 Apply NOW ! 👉 luma.com/wdfs5azz

Startup founders - @OpenAI and @OpenNetwork_Lab are hosting a Startup pitch contest in Kyoto with OpenAI providing $1M USD in API credits across the program, including $100,000 USD for the 1st place winner! 🇯🇵 Apply NOW ! 👉 luma.com/wdfs5azz

\\ 総額最大1.6億円のOpenAI APIクレジット // OpenAIとOnlabがピッチイベント「Series T – Post AGI from Kyoto」を開催します。AIのクレジットを獲得し、大きな挑戦を加速させる起業家、ビルダーを募集します。 ⏰ 6/26（金）16時締切 応募フォーム👇 forms.gle/4wPsPX4Ne3SnTRJHA 7/1 京都市京セラ美術館（IVS KYOTO公式サイドイベント）

i'm obsessed with AI DIY projects. my favorite one right now is this broccoli farmer in hokkaido, japan using Codex to run his 100-hectare farm this guy never studied agriculture, never inherited land, started out as a civil servant. but he wanted his farm to run better, and instead of paying an engineering firm he couldn't afford, he just built the tools himself. here's what he's built on his own: > remote control of his greenhouse vents from a chat app, wired up with an esp32 board, a motor driver, and cloudflare workers > a bot that checks each greenhouse's temperature and opens the vents when it gets too hot > satellite crop-health data laid over a map of his own fields > an airtable base linking his plots, tasks, materials, and sensors > wiring diagrams of his electrical panels, generated from a photo stuff like this used to be locked behind machinery and engineers only the big agribusinesses could pay for. but this legend just breezed past all of it with a laptop and Codex lol