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The Verge AIBusiness

Meta’s new One subscriptions put a price on social media and AI

Shortly after launching its new do-everything AI assistant Muse, Meta's launching subscription bundles that pair its standalone app subscriptions with extra AI usage. Some of the new Meta One bundles were in testing earlier this year, but are now available globally starting today, with several tiers for individual users, creators, and businesses. Meta says the […]

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Meta’s new One subscriptions put a price on social media and AI
Unite.AI

Cisco Brings Splunk AI On-Premises With New NVIDIA-Accelerated AI POD

Cisco announced a set of new Splunk capabilities at Splunk.conf in Denver on September 15, 2026, led by the immediate availability of Cisco AI POD for Splunk, which brings self-managed Splunk AI to on-premises, private cloud, and air-gapped environments through an expanded partnership with NVIDIA. Cisco AI POD for Splunk Cisco Secure AI Factory with NVIDIA is the company's reference architecture for assembling the full AI stack from Cisco AI PODs. The newest of those configurations, Cisco AI…

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Cisco Brings Splunk AI On-Premises With New NVIDIA-Accelerated AI POD
The DecoderBusiness

After warning AI is too dangerous, Bill Gates bets a billion on its upside

The Gates Foundation is investing at least a billion dollars over two years to make AI tools more widely available in health, education, and agriculture. Bill Gates warns that more than 90 percent of the training data behind early language models came from English sources, and that speech recognition fails 60 percent of the time in Yoruba. The market, he says, is "a terrible guarantor of equal opportunity." The article After warning AI is too dangerous, Bill Gates bets a billion on its upside ap

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After warning AI is too dangerous, Bill Gates bets a billion on its upside
Unite.AI

From Uptime to Experience: The AI-Driven Shift in Modern Observability

In 2001, IBM wrote an autonomous IT manifesto. The Vision of Autonomic Computing broke down self-management into four pillars: self-optimization, self-healing, self-configuration, and self-protection. I was at Microsoft when IBM laid out this IT vision. We reacted by proposing technology ideas such as the autonomous data center, but ultimately, it was a dream that was way ahead of its time. There was no practical way to bring that vision to reality. In my Microsoft days, I was on the team…

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From Uptime to Experience: The AI-Driven Shift in Modern Observability
Hacker News FrontTools

The Inference Hardware Revolution of 2026

Article URL: https://spectrum.ieee.org/inference-hardware-revolution Comments URL: https://news.ycombinator.com/item?id=49713024 Points: 53 # Comments: 4

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Unite.AI

Medallion Buys Credentials Verification Organization Andros

In an announcement datelined San Francisco, Medallion said on September 15, 2026 that it has acquired Andros, an NCQA-certified credentials verification organization, in a transaction the company says makes it the largest AI-native credentialing platform in the country. Terms of the transaction were not disclosed. The company said the deal places more than a million providers across nearly 400 healthcare organizations and health plans on one credentialing platform. Bailey & Company served as…

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Medallion Buys Credentials Verification Organization Andros
Unite.AI

OpenEvidence and Penn Medicine Launch Global Clinical AI Partnership

OpenEvidence and Penn Medicine announced a global partnership on September 15, 2026, to bring AI-powered clinical decision support to Penn Medicine's more than 10,000 clinicians across its seven-hospital health system, with that support also extending to low- and middle-income countries through the Botswana-UPenn Partnership. Under the agreement, OpenEvidence's tools will be accessible to clinicians within the campuses of Penn Medicine and the Botswana-UPenn Partnership. The partners describe…

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OpenEvidence and Penn Medicine Launch Global Clinical AI Partnership
Unite.AI

Physical AI Can See More Than Ever. Why Are Manufacturers Still Making Slow Decisions?

Physical AI technology advancements are giving manufacturers a clearer view of the factory floor. Cameras can spot defects in real time. Sensors can identify early signs of equipment failure. Digital twins can show when a line is drifting out of tolerance. AI tools can summarize what happened across a shift. Yet many manufacturers are discovering that seeing more does not automatically mean deciding faster. Too often, a signal stays trapped inside the system that generated it. A defect alert…

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Physical AI Can See More Than Ever. Why Are Manufacturers Still Making Slow Decisions?
Recurrent Neural Networks

How I’m Using Google Opal for Even More AI Automations

Opal is Google Labs' no-code tool for turning natural language into working AI mini-apps, built on top of an internal framework called Breadboard. Here's how I learned to use it best.

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How I’m Using Google Opal for Even More AI Automations
Towards Data Science - Medium

How to Build Consistent Designs with Claude Code

Keep your apps looking professional with Claude Code design skills The post How to Build Consistent Designs with Claude Code appeared first on Towards Data Science .

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Unite.AI

Radical Ventures Secures Over US$1B at First Close of Late-Stage AI Fund

Radical Ventures announced on September 15, 2026 the first close of the Radical Breakouts Fund, a new late-stage strategy that secured more than US$1 billion in commitments and that the firm describes as the largest-ever venture capital fund in Canada. Commitments came from the Public Sector Pension Investment Board (PSP Investments), the Canada Pension Plan Investment Board (CPP Investments), HOOPP, TD Bank Group, BMO Financial Group, CI Global Asset Management and OPTrust, alongside other…

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Radical Ventures Secures Over US$1B at First Close of Late-Stage AI Fund
Unite.AI

Micron Demonstrates 512GB DDR5 RDIMM, Targets Second-Half 2027 Production

Micron Technology on September 15, 2026 announced the successful demonstration of what it describes as the world's first 512GB DDR5 RDIMM, a registered dual in-line memory module, across multiple server platforms. Micron said the module will deliver speeds up to 9,200 MT/s, and that AMD and Intel are both actively validating it. Micron said the demonstration gives enterprise data center and cloud customers a path to support large and demanding AI, analytics, in-memory database and…

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Micron Demonstrates 512GB DDR5 RDIMM, Targets Second-Half 2027 Production
The Verge

This doorbell camera lets a human security guard watch your front door

DIY home security company SimpliSafe is bringing its AI-powered proactive security feature to the front door. The new SimpliSafe Video Doorbell Series 2 launches today for $199.99 and works with the company's Active Guard Outdoor Protection (starting at $49.99 a month). This combines AI analysis with live agents to detect potential threats and respond proactively. […]

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This doorbell camera lets a human security guard watch your front door
Hacker News LLMLLMs

Built-In Tools vs. Custom Tools in LLM Agents

Article URL: https://www.vincentschmalbach.com/built-in-tools-vs-custom-tools-llm-agents/ Comments URL: https://news.ycombinator.com/item?id=49712187 Points: 2 # Comments: 0

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Google AI BlogLLMs

New insights from Google’s AI & Economy ATLAS

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/ATLAS-hero.max-600x600.format-webp.webp">We’ve translated ATLAS’s millions of global data points into an interactive, open-access experience.

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New insights from Google’s AI & Economy ATLAS
r/MachineLearningResearch

I trained a 44M parameter quantized LLM from scratch on 45B tokens. It ships in 19.8 MB and runs at ~1,900 tok/s on CPU. [P]

<!-- SC_OFF --><div class="md"><p>Three weeks back , i posted SHADOW-250M here. It got 360 upvotes, 293 on <a href="/r/LocalLLaMA">r/LocalLLaMA</a> and 94 GitHub stars. Thank you.</p> <p>That model was 60 MB, ran around 400 tok/s on CPU and could retrieve records from an archive on disk. What it couldn’t do reliably was reason over what it retrieved or compute. So I built a smaller one to experiment with those two problems.</p> <p>SHADOW-50M is actually 44M parameters, trained from scratch on 45

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The Robot ReportRobotics

InOrbit.AI releases OpenRobOps ISO 21423 reference implementation

OpenRobOps gives robotics developers a foundation to deliver a fleet manager with support for the upcoming interoperability standard. The post InOrbit.AI releases OpenRobOps ISO 21423 reference implementation appeared first on The Robot Report .

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InOrbit.AI releases OpenRobOps ISO 21423 reference implementation
Towards Data Science - Medium

Seizing the Moment: The Hidden Silhouette of Data

How statistical moments connect the mean, the variance, and higher powers of a distribution The post Seizing the Moment: The Hidden Silhouette of Data appeared first on Towards Data Science .

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MIT Tech ReviewResearch

AI models need more data about biology, and OpenAI is paying to create it

Last year Ruxandra Teslo, a policy analyst who focuses on clinical trials, posted an idea for supercharging medical AI systems: Use data from failed biotech companies. By bidding at their bankruptcy proceedings, she proposed, it might be possible to obtain detailed regulatory filings, manufacturing strategies, and safety data—types of information usually considered trade secrets. She…

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The Hacker NewsSecurity

Human Attacker Exploits Marimo RCE, Reaches SSH Bastion in Eight Seconds

With artificial intelligence (AI) shrinking the window between vulnerability discovery and exploitation and lowering the barrier to entry for bad actors, new findings from Sysdig show that skilled human operators can move just as swiftly after gaining initial access. In one instance highlighted by the cloud security company, the threat actor pivoted from a vulnerable Marimo notebook to an SSH

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Human Attacker Exploits Marimo RCE, Reaches SSH Bastion in Eight Seconds
The Hacker NewsSecurity

Attack Chains, Not Just Attack Surfaces: Why Testing Individual Techniques Misses the Point

Introduction Security teams have gotten pretty good at testing against what can hurt them. Can this EDR agent catch this payload? Will my organization fail the phishing simulation? Does this SIEM rule fire on this particular technique? And, in more mature organizations, this testing happens continuously rather than as a one-off exercise. But no matter how much you validate against these

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Attack Chains, Not Just Attack Surfaces: Why Testing Individual Techniques Misses the Point
UX Collective - Medium

The hidden culture of AI

AI isn’t culturally neutral. Whose culture are you designing for? Continue reading on UX Collective »

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The hidden culture of AI