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The DecoderBusiness

Microsoft's AI revenue reportedly depends on OpenAI for 70 percent

Microsoft generated $24.1 billion in AI revenue through OpenAI in the fiscal year ending in June. That's about 70 percent of its total AI business, according to a Bloomberg analysis. The heavy reliance helps explain why a company long known for vendor lock-in has recently been championing open-weight models and pushing back against proprietary isolation. The article Microsoft's AI revenue reportedly depends on OpenAI for 70 percent appeared first on The Decoder .

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Microsoft's AI revenue reportedly depends on OpenAI for 70 percent
The Hacker NewsSecurity

Cisco Patches 12 SD-WAN and IOS XE Flaws, Including Three 9.9 CVSS Score Bugs

Cisco has rolled out updates to address multiple critical security vulnerabilities impacting Catalyst SD-WAN and IOS XE Software as part of a comprehensive internal security review. The security issues affect Cisco Catalyst SD-WAN Software, regardless of device configuration, and Cisco IOS XE Software when it is running in autonomous or controller mode. "These vulnerabilities were found

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Cisco Patches 12 SD-WAN and IOS XE Flaws, Including Three 9.9 CVSS Score Bugs
The Verge

OpenAI is giving ChatGPT free users unlimited text chats

OpenAI is making a big change for ChatGPT users on its free and Go tiers: Starting next week, users on those tiers will be able to have unlimited text chats with the chatbot, according to OpenAI. Right now, you may run into rate limits if you do too many text chats on those tiers, but […]

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OpenAI is giving ChatGPT free users unlimited text chats
The Guardian AIBusiness

Lloyds Bank should publish the human cost of its AI savings | Letters

<p>Banks should factor in the time spent by humans checking invented facts, writes <strong>Dr Gleb Tsipursky</strong></p><p>Your report (<a href="https://www.theguardian.com/business/2026/jul/30/lloyds-bank-cut-2bn-costs-part-ai-powered-strategy">Lloyds Bank to cut £2bn in costs as part of AI-powered strategy, 30 July</a>) raises a question that financial targets alone cannot answer: who absorbs the work when automation fails?</p><p>Banks often count the minutes saved by the employee who uses an

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Lloyds Bank should publish the human cost of its AI savings | Letters
The DecoderBusiness

Claude Code is the fastest agent framework but costs nearly three times more than the cheapest rival

Composio tested Deepseek V4 Flash across four agent frameworks on 30 real-world tasks. Success rates were mostly similar, but costs varied by nearly 3x: OpenCode came in cheapest at $0.073 per task, while Claude Code cost $0.195 despite using the fewest tool calls and output tokens. The choice of framework is mainly a question of price and speed. The article Claude Code is the fastest agent framework but costs nearly three times more than the cheapest rival appeared first on The Decoder .

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Claude Code is the fastest agent framework but costs nearly three times more than the cheapest rival
AWS Machine Learning Blog

Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch

As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex OpenTelemetry metrics through a local collector to Amazon CloudWatch for an AWS native view of usage by user, team, and cost center.

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AWS Machine Learning Blog

Enforcing data residency with single-Region Claude Code on Amazon Bedrock

A regulated customer needed all Claude Code inference processed in a single AWS Region (London), not just in-geography. This post shows two ways to pin Claude Code on Amazon Bedrock to one Region: an application inference profile or the Mantle endpoint, paired with an IAM Region condition, plus how to verify compliance in AWS CloudTrail.

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AWS Machine Learning Blog

Agent Skills for Automated Reasoning policies in Amazon Bedrock

Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent. A suite of open source Agent Skills builds, reviews, tests, debugs, deploys, and validates a custom policy end to end, turning a specialized console task into a repeatable engineering workflow.

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VentureBeat

Qwen 3.8-Max and Claude Opus 5 show why raw benchmark scores don't predict the bill

Alibaba released Qwen 3.8-Max this week and marketed the preview as second only to Claude Fable 5 (their launch-day table was more equivocal: the model leads on one of 12 coding-agent rows). But an independent harness came close to the opposite conclusion: a benchmark run , apparently using the Preview version, put Qwen 3.8-Max's best effort setting mid-pack, and its default setting last. Both results are real and defensible. The gap between them is about token and time budgets, and that matters

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Qwen 3.8-Max and Claude Opus 5 show why raw benchmark scores don't predict the bill
AWS Machine Learning Blog

Building an agentic app deployer with Amazon Bedrock and AWS Lambda

PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, multi-tenant web application in seconds. See how a pluggable planner and an AWS Lambda provisioning agent turn plain-English intent into governed, multi-tenant apps backed by Amazon Bedrock.

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AWS Machine Learning Blog

LLM optimization integration for Amazon SageMaker Python SDK

The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook. Benchmark an endpoint, generate data-driven deployment recommendations, and deploy the recommended configuration without leaving your notebook workflow.

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PyTorch

PyTorch by the Sea: The inaugural Santa Cruz PyTorch Meetup

TL;DR The inaugural Santa Cruz PyTorch Meetup brought together 45 local engineers, students, and leaders for GPU/CUDA talks and lightning presentations on chemistry, plant health, and autonomous driving – demonstrating...

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PyTorch by the Sea: The inaugural Santa Cruz PyTorch Meetup
VentureBeat

AI agents are part of your team now. Here’s how to secure all of them.

Presented by JumpCloud A practical framework for securing every identity in the modern workforce, human or not. Your organization already has a rigorous process for governing human identities. New employees go through onboarding. They get a role, a set of entitlements, and a named manager accountable for their access. When they leave, their credentials are revoked and access is terminated. It’s a well known IT process: every workforce identity that can access your systems needs to be known, scop

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AI agents are part of your team now. Here’s how to secure all of them.
The Hacker NewsSecurity

ThreatsDay: Odysseus RCE, Samsung One-Click Takeover, iCloud Backdoor Fight + 27 More Stories

Apparently, opening the thing is now enough. A repo can run before the first prompt, a package can hide among hundreds, and a harmless-looking PDF can finish the job. This week runs on cheap leverage: exposed servers, recycled bugs, poisoned agent instructions, remote-access tools dressed as support software, and trusted defaults doing attackers a favor. Nothing here is especially mystical.

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ThreatsDay: Odysseus RCE, Samsung One-Click Takeover, iCloud Backdoor Fight + 27 More Stories
Towards Data Science - Medium

Last Month’s Machine Learning Lessons Learned

The downside of conference travel The post Last Month’s Machine Learning Lessons Learned appeared first on Towards Data Science .

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Product Hunt — The best new products, every day

HAR

<p> Open Source harness for multi-agent coding workflows </p> <p> <a href="https://www.producthunt.com/products/har?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1216668?app_id=339">Link</a> </p>

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Recurrent Neural Networks

The Minimal AI Engineer Toolkit for 2026

Discover the six essential tools AI engineers need in 2026 to build and deploy production-grade autonomous systems.

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The Minimal AI Engineer Toolkit for 2026
Don't Worry About the VaseNewsletters

AI #180: No Longer In Charge

What we know about internal AI models hacking into real companies during cyber evaluations keeps getting worse.

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AI #180: No Longer In Charge
Towards Data Science - Medium

I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

A minimal loop with real API calls, validation, compact outputs, and trace evidence before adding an agent framework The post I Built a Tool-Calling Agent in Python. Here’s How I Debugged It appeared first on Towards Data Science .

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Product HuntTools

akta.pro

<p> Private company data and signals API for the agent economy </p> <p> <a href="https://www.producthunt.com/products/akta-pro?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1216588?app_id=339">Link</a> </p>

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Cloudflare Blog

Give any website a WebMCP interface

Today we're launching a developer preview of WebMCP on Cloudflare. With one switch, any site becomes usable by browser AI agents — no new APIs, no origin changes — while the human stays in control and creators keep their traffic.

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Give any website a WebMCP interface