Codex 사용 정책, GPT-Image-2 투명 이미지, WAN3.0 문서 영상, 에이전트 메모리와 GPU 커널 최적화

One 18-page PDF. One run. A full 30-second commercial.

You can even create videos with Wan 3.0 without using a prompt.

Tibo

@thsottiaux

16일 전

Yay, you can now make transparent images in ChatGPT and through the API with GPT-Image-2. Here is a cactus cactus I am about to print and put on my laptop.

We've investigated a few messages about codex usage limits being different. That's not something we change without engaging the community and being transparent. What we did see is that when talking to affected users many were using sub2api. Converting a subscription into api traffic to then re-serve or share across many users is not something we support and this type of usage gets flagged by our fraud-prevention systems. You are completely fine if you use your subscription through Sign in With ChatGPT, either through the official clients or through one of the many OSS clients (Pi, OpenCode, ...) that support signing in with your account and using your included usage.

"Hawkeye: Hardware-Aware GPU Kernel Optimization with Minimal Supervision" Hawkeye teaches AI agents how to optimize for a new GPU using just 10 expert-written unit tests. Instead of hand-porting kernels to every new architecture, experts encode the key hardware tricks once and the agent composes them into fast CUDA or HIP kernels. It works across NVIDIA and AMD GPUs (Ampere, Hopper, Blackwell, and MI350), and often matching or beating expert-tuned baselines. https:// alphaxiv.org/pdf/2608.hawke ye-hardware-aware-gpu-kernel-optimizationv1 …

Upstage CEO Sung Kim sat down with Lisa Su, Chair and CEO of AMD, for the second time. Solar Pro 4 crossed 80 billion tokens per day within three days of listing on OpenRouter, and that traffic runs in production on AMD Instinct GPUs. Engineers from both companies spent two months optimizing inference throughput together and landed a 25% gain over baseline. Watch the full conversation

if you are an engineer and want to build the best memory system on earth - send me a DM

Grok Bot is literally paying for its own $300/month subscription. People are using it to win back customers, recover refunds, cut bills + run businesses. 10 wild examples:

10. Grok Bot cleans your emails, files + paid subscriptions. But asks for approval before cancelling anything.

Ali Ghodsi

@alighodsi

16일 전

This is true. It wasn't actually possible before 2010 because datacenter networks would bottleneck. We used to design coupled storage/compute where you brought compute close to "big data". But research on "full bisection bandwidth" networks made it possible to essentially just talk from any machine to the storage system at full speed. The disaggregation started then! Databricks and Snowflake started soon after many others followed. Now "Put it on the object store" is the way to go.