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Testingcatalog Ai News

Short news about early access projects and recent features on popular AI, web2 and web3 apps for bloggers, content creators, degens and other professionals Reporting AI nonsense. A future news media, driven by virtual assistants

  • 34articles · 30d
  • 1+ day agolatest article
  • Aug 16, 2026earliest in window
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  • 234avg words
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  • Software Dev. 24
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  • News 10
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News

TestingCatalog AI News
testingcatalog.com > inception-launches-mercury-2-5-at-1-107-tokens-per-second

Inception launches Mercury 2.5 at 1,107 tokens per second

4+ day, 10+ hour ago   (255+ words) Mercury 2.5 is now available through Inception, Baseten, and OpenRouter, with Mercury Voice and Mercury Router entering preview. Mercury 2.5 generates 1,107 tokens per second on widely available NVIDIA GPUs and supports a 260K-token context window. Its capabilities include tunable reasoning, parallel tool…...

TestingCatalog AI News
testingcatalog.com > openai-prepares-managed-agents-for-devday-2026

OpenAI prepares managed agents for DevDay 2026

6+ day, 10+ hour ago   (157+ words) Managed Agents on AOI Platform demo Managed agents will not be the only announcement at DevDay. Model updates, security solutions, and more are also expected. Although access to the agents UI is not available yet, the codebase suggests functionality very…...

TestingCatalog AI News
testingcatalog.com > tencent-released-open-source-hy4-preview-model

Tencent releases open-source Hy4 preview model

2+ week, 1+ day ago   (222+ words) Tencent released open-source Hy4 preview model TestingCatalog AI News Tencent has released Hy4 preview, a 770-billion-parameter flagship model with 49 billion active parameters and a one-million-token context window. The company calls it its most capable model so far and says it delivers the…...

Google News
testingcatalog.com > ornith-1-5-open-models-launch-in-397b-35b-and-9-b-sizes

Ornith-1.5 open models launch in 397B, 35B, and 9 B sizes.

3+ week, 4+ day ago   (370+ words) testingcatalog.com Ornith has released Ornith-1.5, a family of open models that extends the self-scaffolding framework from Ornith-1.0 into a closed self-improvement loop. Where the previous generation wrote the scaffold around a fixed set of human-curated tasks, Ornith-1.5 proposes the…...