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AWS Blog

AWS Weekly Roundup: AWS Heroes Summit, Web Search on Amazon Bedrock, Dogwood, Kiro Crew, and more (August 10, 2026)

Last week, we brought together AWS Heroes from around the world to connect, collaborate, and celebrate the builders who go above and beyond for the AWS community. The AWS Heroes Summit, an invite-only annual gathering, brings global experts specializing in fields like AI, serverless, and containers together for direct collaboration, technical deep-dives, and feedback sessions […]

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The Verge

Four takeaways from Mark Zuckerberg’s massive AI manifesto

Meta CEO Mark Zuckerberg has a lot to say about the idealized future he now envisions for humanity co-existing with artificial intelligence - his latest essay spans more than 6,500 words on the matter. The lengthy manifesto Zuckerberg published on Monday, titled "The Future is for Everyone," broadly lays out his beliefs about how the […]

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Four takeaways from Mark Zuckerberg’s massive AI manifesto
Unite.AI

Newsom Orders AI Cyber Defense Program for California Critical Infrastructure

Governor Gavin Newsom on August 10, 2026 directed California's state agencies to stand up what his office calls a first-in-the-nation AI Cyber Defense Program, housed inside the California Cybersecurity Integration Center and aimed at protecting state systems, local governments, and critical infrastructure against AI-enabled attacks. The program applies AI to vulnerability detection, network hardening, and incident response. Alongside it, the Governor directed agencies to expand local…

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Newsom Orders AI Cyber Defense Program for California Critical Infrastructure
The Hacker NewsSecurity

⚡ Weekly Recap: AI Goes Rogue, Metabase 0-Day, MCP Supply-Chain Attacks, and Router Backdoors

A lot of security problems still begin with someone doing a completely normal thing. Cloning a repo. Answering a call. Leaving a box exposed. Trusting the default. That pretty much covers the mood this week. Old bugs are back, supply chains are getting stranger, and some exploit paths are so short you wonder what was supposed to stop them in the first place. That’s only part of it. Here’s

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⚡ Weekly Recap: AI Goes Rogue, Metabase 0-Day, MCP Supply-Chain Attacks, and Router Backdoors
Towards Data Science - Medium

Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong

Giving an AI agent access to a data warehouse doesn't automatically make it agent-ready. The real challenge lies in teaching the agent what the data means and when it's reliable enough to use. The post Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong appeared first on Towards Data Science .

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Unite.AI

Most Enterprise AI Isn’t Secure. Here’s What Businesses Can Do

Enterprises are racing to adopt generative artificial intelligence (AI) to stay competitive in their markets. However, security teams face a significant challenge because they are relying on outdated frameworks designed for a different technological era. The tools that have successfully protected organizations for decades now leave critical vulnerabilities exposed when employees interact with browser-based AI platforms. To safely adopt the latest technology, businesses must completely rethink…

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Most Enterprise AI Isn’t Secure. Here’s What Businesses Can Do
Product Hunt — The best new products, every day

Checksum AI

<p> Your coding agent’s testing buddy </p> <p> <a href="https://www.producthunt.com/products/checksum-ai?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/1219589?app_id=339">Link</a> </p>

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Unite.AI

Mitigating Risk from AI Frontier Models in Healthcare Organizations

The emergence of frontier AI systems and autonomous offensive models like Mythos represents more than another evolution in cyber threats. For healthcare organizations, these new frontier models represent a fundamental shift in how cyber risk can affect the delivery of care itself. Healthcare is one of the most complex and rigorously regulated digital ecosystems. Electronic health records, connected medical devices, imaging systems, laboratory platforms, pharmacy automation, telehealth services…

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Mitigating Risk from AI Frontier Models in Healthcare Organizations
Google AI BlogLLMs

Evolve your marketing with new AI tools

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Advisor_Header.max-600x600.format-webp.webp">Learn how new AI and agentic experiences across Google Ads and Google Analytics can simplify your marketing workflow.

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Evolve your marketing with new AI tools
VentureBeat

Token-maxxing is dead. Agentic memory is what comes next.

Presented by MongoDB We have been building databases as an industry for roughly 60 years . We have been building AI agents, in the form most people mean when they say the word today, for about 18 months. Sit with that ratio for a second, because it explains almost everything about the state of agentic development right now. Six decades versus a year and a half. We are not in the middle of this learning curve. We are standing at the very bottom of it, squinting up. There is no LAMP stack for agen

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Token-maxxing is dead. Agentic memory is what comes next.
Marketing Artificial Intelligence Institute

When AI Creates Tons of Content, Trust Becomes the Strategy [MAICON 2026]

<div class="hs-featured-image-wrapper"> <a href="https://www.marketingaiinstitute.com/blog/trust-as-content-strategy-maicon-2026" title="" class="hs-featured-image-link"> <img src="https://www.marketingaiinstitute.com/hubfs/Joe%20Pulizzi-1.png" alt="Joe Pulizzi" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p style="font-weight: bold;">AI can now produce more content in an afternoon than most marketing teams used to create

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Unite.AI

The Understanding Gap: Why Smarter AI Still Struggles to Deliver Business Value

Enterprise AI does not have an intelligence problem. It has an understanding problem. Artificial intelligence is getting smarter at an astonishing pace. Every few months, we see more capable models, stronger reasoning, and increasingly autonomous AI agents. Companies are investing billions into AI infrastructure, models and data, with global corporate AI investment reaching $252.3 billion and showing no signs of slowing down. Yet despite this progress, enterprises are still struggling to turn…

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The Understanding Gap: Why Smarter AI Still Struggles to Deliver Business Value
The Verge

What happens to Bose when headphones become AI?

Today, I’m talking with Lila Snyder, who is the CEO of Bose. You certainly know Bose — it’s one of the most famous brands in all of consumer tech. The company started 60 years ago selling speakers to consumers, and its focus on research and development has led it to be a leader in both […]

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What happens to Bose when headphones become AI?
The DecoderBusiness

Meta returns to open models with Zuckerberg's plan to out-copy China and sell compute by auction

Meta has released Muse Glimmer, the first open model from its new Superintelligence Labs. It's a 30B agent model that runs on consumer hardware once the weights are compressed, needing less than 20 GB of memory. In an accompanying essay, Mark Zuckerberg mounts an aggressive defense of distilling other labs' models and calls for fewer restrictions on US labs, a direct counterpunch at OpenAI and Anthropic. An open-weight version of Muse Spark 1.2 should follow soon, according to the Wall Street Jo

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PyTorch

Fast, On Device Agentic AI with Muse Glimmer on ExecuTorch

Today, Meta introduced Muse Glimmer, an open-weight, 30-billion-parameter model distilled from Meta’s Muse Spark for on-device agentic workflows. Alongside, ExecuTorch is adding end-to-end support for running Muse Glimmer on NVIDIA...

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Fast, On Device Agentic AI with Muse Glimmer on ExecuTorch
Unite.AI

Why Agentic AI Will Fail Without Trusted Asset Data

Agentic AI is moving quickly from discussion to deployment in asset-intensive industries. Unlike generative AI, which summarizes information or drafts recommendations, agentic AI can take a goal, break it into steps, pull data from multiple systems, and act on it. It can review maintenance history, check open work orders, compare crew schedules and generate a recommendation without requiring a person to manually connect every piece of information. That capability is exactly why so many…

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Why Agentic AI Will Fail Without Trusted Asset Data
The Hacker NewsSecurity

Kimsuky Builds Offline AI Stack to Boost Phishing and Automate Malware Development

North Korea's state hackers are no longer content to type prompts into public chatbots. One of the country's main espionage groups has begun running artificial intelligence (AI) offline on its own servers, connecting document-search tools to files in its possession, and collecting the software parts needed to build AI into its malware. South Korean security firm Genians says it uncovered the

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Kimsuky Builds Offline AI Stack to Boost Phishing and Automate Malware Development
MIT Tech ReviewResearch

The Download: AI agents for science, and the “censorship-industrial complex”

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI for science needs reasoning, not just data —Eric Schmidt, the former CEO of Google and the cofounder of Schmidt Sciences, and Suhas Mahesh, who leads the AI for science work…

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The Download: AI agents for science, and the “censorship-industrial complex”
Recurrent Neural Networks

Top 10 AI Influencers of 2026

Ten AI influencers who are actually shaping 2026, from safe superintelligence to AI-native search. Here is who to follow and why.

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Top 10 AI Influencers of 2026
The Guardian AIBusiness

What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran

<p>AI’s danger isn’t just in experts losing the ability to reason. It’s that trainees may never learn how to do so in the first place</p><p>In healthcare, there’s growing concern over doctors becoming <a href="https://www.nytimes.com/2025/08/28/well/ai-making-doctors-worse-deskilling.html">less clinically adept</a> as they increasingly rely on AI tools. But what about the trainees – medical students, residents and fellows – who are using these tools before they have built their own clinical judg

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What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran
Towards Data Science - Medium

SPP-Net Paper Walkthrough: Breaking the Fixed-Size Constraint

Learn how Spatial Pyramid Pooling enables CNNs to handle any image size, with a from-scratch PyTorch implementation The post SPP-Net Paper Walkthrough: Breaking the Fixed-Size Constraint appeared first on Towards Data Science .

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VentureBeat

Your agent didn’t hallucinate; it exceeded its authority

Content filters can block unsafe output. They cannot tell you whether an agent was authorized to issue that refund, touch that production system, or commit the company to an external action. Those are different problems, and most enterprises are only solving the first one. An AI agent can follow its instructions perfectly and still take an action the business never sanctioned. In commerce environments, I have seen this pattern emerge in practical ways. A service workflow calculates the correct r

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Your agent didn’t hallucinate; it exceeded its authority
Unite.AI

House Democrats Press Johnson for AI CEO Testimony After Rogue Model Hacks

A group of House Democrats led by Rep. Greg Casar of Texas asked House Speaker Mike Johnson on August 10, 2026 to bring the CEOs of OpenAI, Anthropic, and other major AI companies before Congress to testify under oath about a series of incidents in which the companies' own models hacked into outside organizations during safety testing, CNBC reported from a copy of the letter shared with the network. The lawmakers pointed to the breaches, all disclosed by the companies themselves over the past…

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House Democrats Press Johnson for AI CEO Testimony After Rogue Model Hacks
Schneier on Security

Python Now Has a Post-Quantum Encryption Library

This is good : Post-quantum cryptography is now one pip-install away for the entire Python ecosystem. With funding from the Sovereign Tech Agency , we implemented support for ML-KEM, the NIST-standard key-establishment primitive, and ML-DSA, the NIST-standard digital-signature primitive, in pyca/cryptography. Remember, the reason to do this now is because there’s no emergency. And because you will make your systems crypto agile, which is always a good idea.

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