Not the first time either – they shut down a bunch of of their original proprietary hosted embedding models in this announcement back in April 2024 https://
openai.com/index/gpt-4-ap
i-general-availability/#deprecation-of-older-embeddings-models
…
SOFTWARE
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OpenAI Deprecates Original Proprietary Hosted Embedding Models
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NVIDIA NeMo RL Accelerates Agentic Performance with FP8
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Improve agentic performance with accurate RL post-training on low-precision FP8. NVIDIA NeMo RL, an open-source library within NVIDIA NeMo, supports FP8 to speed up RL workloads by 1.48x on Qwen3-8B-Base—enabling faster iterations for agentic tool use and multi-step
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BF16 to FP8 Quantization: Per-Channel Scaling for LLM Accuracy
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The tricky part: naïvely casting BF16 group scales to FP8 dropped the quality. Our fix: quantize scales per-channel (outer vector scaling) + rescale by 1/8 to avoid FP8 clipping. Result: >99.5% of W4A16 accuracy recovered on Command A & Cohere MoE. Paired with a CUTLASS
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Third-party plugins enhance OpenClaw through standardized API integration
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We have many companies that work hard on their plugins to make OpenClaw better with their service. Same API boundary for everyone. You should see what ByteDance does with Lark!
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Plugin Architecture for Multiple AI Providers Integration
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It’s all plugins – just like we have plugins for alibaba, tencent, kimi, minimax, anthropic and many others.
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ChatGPT Images 2.0: FF6-style 16-bit JRPG Boss in Chipotle, Byrne vs. Fischer Chess Position
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ChatGPT Images 2.0 generates a boss fight from a 16-bit JRPG in the style of FF6, but they're in a Chipotle and the boss is just the board position from Byrne vs. Fischer (1956) right after Byrne captures Fischer's queen.
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Modular AI Core Architecture Enables Plugin-Based Harness Extensions
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Not at all. We extended core so other harnesses can be plugins now to allow more use cases (e.g. enterprises that need their preconfigured codex harness with security guardian, proxy rules etc). You can now also do silly things like use Ant SDK as harness to compare performance.
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NVIDIA Earth-2 AI Models Transform Satellite Data Into Life-Saving Forecasts
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🌍 Real-time data is the ultimate tool for Earth Day.
— NVIDIA AI (@NVIDIAAI) 22 avril 2026
NVIDIA Earth-2 models like HealDA, built with collaboration from @MITREcorp and @NOAA, turn satellite observations into life-saving forecasts in just minutes.
We’re moving past physics modeling alone to on-demand AI that… pic.twitter.com/ByzNjTOOMBReal-time data is the ultimate tool for Earth Day. NVIDIA Earth-2 models like HealDA, built with collaboration from @MITREcorp and @NOAA
, turn satellite observations into life-saving forecasts in just minutes. We’re moving past physics modeling alone to on-demand AI that
