OPENAI : GPT-CODEX-5.5 HAS BEEN SPOTTED IN THE WILD. Friday feature drop?
@testingcatalog
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DeepSeek launches V4 models on par with GPT-5.4
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DeepSeek released a set of new open-source models from the long-awaited V4 family that perform on par with GPT-5.4 and Opus 4.6. – DeepSeek-V4 Preview
– DeepSeek-V4-Pro
– DeepSeek-V4-Flash V4 models are available on APIs and DeepSeek Chat! Testing time -
@testingcatalog — 2026-04-23
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xAI released a new "Grok Voice Think Fast 1.0" flagship voice model for building voice Agents. The model is also available on the xAI Console for testing.
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Managed Claude Agents with Memory Now Available
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Claude Managed Agents now have Memory support! In case you missed it, Managed Agents are available on Anthropic Workbench. Conway will likely get it too.
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Discovery of GPT-5.5 on OpenRouter
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OPENAI : GPT-5.5 AND GPT-5.5 PRO HAVE BEEN SPOTTED ON OPENROUTER! – gpt-5.5-20260423
– gpt-5.5-pro-20260423 Soon -
OpenAI could launch GPT-5.5 on Thursday
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OPENAI : SPUD, AKA GPT-5.5 HAS BEEN TEASED BY OPENAI, WHICH POINTS AT A HIGH CHANCE OF THURSDAY’S RELEASE. > This teaser follows earlier preparation when internal model names became visible on Codex for a short amount of time. > Earlier this week, a similar image post was
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Xiaomi unveils new MiMo-V2.5 open-source models
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Xiaomi released new MiMo-V2.5-Pro and MiMo-V2.5 open-source models. > MiMo-V2.5-Pro, the strongest model yet. > MiMo-V2.5, native omnimodal with strong agentic capabilities.
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Anthropic launches Live Artifacts for Cowork
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— Actually, this is quite big Anthropic recently introduced Live Artifacts for Cowork, which allows users to build any web app using data from available connectors. When opened, Artifacts pull fresh data, so you can build them once and reuse them later. Why does it matter?
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AI Model News: M2.7, Music 2.6 and TTS
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> M2.7 is a 230B MoE model that partially trained itself. It scores 56.22% on SWE-Bench Pro and is priced at $0.30 per 1M input tokens. > Music 2.6 brings cover generation and BPM controls. > TTS covers 40 languages with seven emotional registers and real-time low-latency
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Congratulations for 16 billion tokens per minute
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16B tokens per minute is insane number! Congrats