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Microsoft announces Skills for Copilot in Excel for finance

By

@testingcatalog

–

26 June 2026 2h05

Microsoft announced Skills for Copilot in Excel!

> Today, we’re introducing new features built for financial professionals to continue doing that with skills for repeatable workflows, new financial connectors for trusted data, and improved capabilities for traceability.

We'll… https://t.co/UcuXHEQZQw pic.twitter.com/m3sjCBTli9
— 🚨 AI News | TestingCatalog (@testingcatalog) 26 juin 2026

Microsoft announced Skills for Copilot in Excel! > Today, we’re introducing new features built for financial professionals to continue doing that with skills for repeatable workflows, new financial connectors for trusted data, and improved capabilities for traceability. We'll

→ View original post on X — @testingcatalog

26 June 2026
Trump admin limits GPT-5.6 release to 20 partners via Bedrock

By

@rachelmetz

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26 June 2026 1h03

The Trump administration has asked OpenAI to initially limit the release of GPT-5.6, we learned. At first, it'll be available to 20 partners; a path to access it will be via Amazon's Bedrock.
(amazing work @steph_palazzolo getting the story out first!)

→ View original post on X — @rachelmetz

26 June 2026
Fine-tuned models match frontier performance with lower cost

By

@langchain

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25 June 2026 22h15

Fine-tuned models match frontier performance In our research with @FireworksAI_HQ
, a fine-tuned @Alibaba_Qwen outperformed all model sizes. They’re also cheaper to run at scale 10-100x depending on trace volume and model choice As trace volumes grow, so will cost-savings on

→ View original post on X — @langchain

25 June 2026
NVIDIA-accelerated AI aids PYLER in brand safety for advertisers

By

@nvidia

–

25 June 2026 22h00

Every day, millions of videos compete for advertising dollars. Ensuring brands appear alongside the right content requires AI that can understand context at scale.

PYLER is helping advertisers improve brand safety and campaign performance with NVIDIA-accelerated AI that analyzes… pic.twitter.com/9xSDjj9e9g
— NVIDIA (@nvidia) 25 juin 2026

Every day, millions of videos compete for advertising dollars. Ensuring brands appear alongside the right content requires AI that can understand context at scale. PYLER is helping advertisers improve brand safety and campaign performance with NVIDIA-accelerated AI that analyzes

→ View original post on X — @nvidia

25 June 2026
Embedding agentic AI in workflows drives measurable value

By

@ronald_vanloon

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25 June 2026 20h10

Organizations need to focus on embedding agentic AI in real-world workflows to drive measurable value. Execution is where the promise becomes reality.

→ View original post on X — @ronald_vanloon

25 June 2026
SambaNova’s fastest inference cloud and Ricoh’s custom Japanese AI models

By

@sambanovaai

–

25 June 2026 20h08

Customers Scaling AI Faster General Compute @fastinference launched the world's fastest inference cloud for AI agents, powered by SambaNova. Meanwhile, @ricoh is using SambaCloud for custom Japanese AI models and agentic business workflows, moving from tens of tokens per

→ View original post on X — @sambanovaai

25 June 2026
SambaNova demonstrates first disaggregated inference cloud for AI agents

By

@sambanovaai

–

25 June 2026 20h07

Disaggregated Inference Is Live! At COMPUTEX, we demonstrated the world's first disaggregated inference cloud for AI agents.
GPUs for prefill. RDUs for decode. CPUs for orchestration. The result: faster agent workflows and better economics than homogeneous infrastructure.

→ View original post on X — @sambanovaai

25 June 2026
Revolut’s transaction foundation model accelerated by NVIDIA and Nebius

By

@nvidia

–

25 June 2026 20h00

Revolut built a transaction foundation model – accelerated by the NVIDIA full-stack platform on Nebius – to improve fraud detection, product recommendations, and other use cases in financial services.

The results:
📈 2.3x better credit risk accuracy
⚡ Up to 5x higher training… pic.twitter.com/vAtbVJXfPZ
— NVIDIA (@nvidia) 25 juin 2026

Revolut built a transaction foundation model – accelerated by the NVIDIA full-stack platform on Nebius – to improve fraud detection, product recommendations, and other use cases in financial services. The results: 2.3x better credit risk accuracy Up to 5x higher training

→ View original post on X — @nvidia

25 June 2026
Rapid agent adoption accelerates work across OpenAI

By

@gdb

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25 June 2026 19h37

Agents are being adopted very quickly and accelerating work. How this looks across OpenAI itself:

→ View original post on X — @gdb

25 June 2026
OpenAI transforms work using agents and Codex internally

By

@openai

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25 June 2026 19h23

Work at OpenAI is being transformed by agents, in every department. Across our entire company, people are using Codex to do work that is more complex, longer-running, and increasingly cross-functional. Our internal usage offers an early look at how agentic tools may reshape

→ View original post on X — @openai

25 June 2026

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