We curate a lot of information daily. Our ongoing collections hold 100 article links, which amounts to about a week’s worth.

Every week, we select some of the articles to share in more depth.

VentureBeat - QwenLong-L1 solves long-context reasoning challenge that stumps current LLMs

Alibaba Group has introduced QwenLong-L1, a new framework that enables large language models (LLMs) to reason over extremely long inputs. This development could unlock a new wave of enterprise applications that require models to understand and draw insights from extensive documents such as detailed corporate filings, lengthy financial statements, or complex legal contracts.

Forbes - Will AI Replace Cybersecurity? Not Quite—But It’s Rewriting The Rules

According to Vasko, cyber criminals behind this type of villainy may be thought of as AI buccaneers—digital pirates often paid to instigate corporate espionage and theft. “Unlike the antiquated variety from centuries past, AI buccaneers know the power of perception—that it’s possible to tank a rival company’s stock price by spreading lies to disrupt public sentiment.”

Big Technology Substack - Ads Are Coming to AI and None of Us Are Ready

Advertising will shape generative AI platforms as it has shaped every medium of communication prior. And that could have a hugely disruptive effect on search, and the trillions of dollars of business built on top of it. Not to mention the entire content ecosystem which has fed search for the past 20+ years and is feeding generative AI today.

SiliconANGLE - AI set to eliminate half of entry-level white-collar jobs within five years, warns Anthropic CEO

In an interview with Axios today, Amodei expressed deep concerns that rapid advancements in AI are outpacing societal preparedness and said that he’s speaking out in hopes of jarring the government and fellow AI companies into preparing and protecting the nation. The irony is that Amodei, through Anthropic, is helping lead the charge in developing the tech that could cause the exact outcome he is warning against.

ZDNet - How ChatGPT could replace the internet as we know it

Based on everything I just said, you could replace "internet" with "ChatGPT," and my statements would still make sense -- except for checking up on friends. ChatGPT does all of these other things exceptionally well and in a fraction of the time.

Forbes - Why AI Attaining AGI Will Spur A New Universal Natural Language That Reshapes Human Thinking

In today’s column, I examine an intriguing speculation that once we advance AI to become AGI (artificial general intelligence), doing so will spur AGI to devise a new universal natural language for humanity to adopt, which then radically reshapes how we think and act. It is definitely an outside-the-box proposition and deserves a moment of keen reflection.

Computerworld - Microsoft cements its AI lead with one hosting service to rule them all

But that was just the first phase of Microsoft’s AI plans. Now it’s launched the next one: hosting AI models and services from the world’s biggest AI companies and startups, essentially its competitors. Microsoft says it’s hosting more than 1,900 AI models, from Meta’s Llama AI, to Musk’s xAI, to European startups Mistral and Black Forest Labs, to China’s DeepSeek and beyond.

The Algorithmic Bridge Substack - AI Companies Have Lost Control—And Opened the Door to ‘LLM Grooming’

That’s what Anthropic researchers found about the recently released Claude 4 Opus and what AI safety organization Palisade Research found about OpenAI o3 models: they won’t comply when threatened to be shut down. In the case of o3, not even when explicitly instructed to allow itself to be shut down.

Forbes - In The AI Arms Race, China May Be Playing For Second Place

In the high-stakes arena of artificial intelligence, where tech giants vie for dominance, a fascinating new narrative is emerging. Observers at Google’s recent I/O Developer Conference couldn’t help but notice the striking presence of Chinese-developed AI models prominently featured alongside American tech stalwarts. As large language models become critical yardsticks of technological prowess, China's rapid ascent is reshaping global AI dynamics.

AI Supremacy Substack - Can OpenAI Challenge Apple with an AI Device?

OpenAI is betting big on AI devices that accelerate ChatGPT’s adoption in the real world. About 55 hardware engineers ($5 Billion in stock + $1.4 Billion in cash), software developers, and manufacturing experts will join OpenAI as part of the acquisition including io co-founders Scott Cannon, Evans Hankey, and Tang Tan.

VentureBeat - From disruption to reinvention: How knowledge workers can thrive after AI

The advance of AI has triggered not only a migration of labor, but a migration of meaning. The old map where thinking, analyzing and creating were the markers of a unique human experience no longer offer safe passage forward, at least not in the form of financial compensation. The terrain has changed. And for many, identity is being disrupted.

Hybrid Horizons: Exploring Human-AI Collaboration Substack - The State of GenAI

This isn't the utopian transformation the tech evangelists promised, nor the dystopian nightmare the doomsayers predicted. It's something more mundane and more profound: a fundamental rewiring of how we create, think and work. As Thomas Davenport and Randy Bean note in MIT Sloan Management Review, 58% of data and AI leaders claim their organisations have achieved "exponential productivity gains" from AI. Yet they're sceptical, warning that "if many organisations are actually to achieve exponential productivity gains, those improvements may be measured in large-scale layoffs."

The Mind File Substack - Why RAG is not the answer

Anyway, if this all sounds like a gimme, let me clarify: the current commercial models, like ChatGPT and Claude, do not use RAG. They draw only from their global training dataset. Developers need to set up RAG themselves, by linking the LLM to an additional, better, dataset. So you could hook it up to a medical database and produce all sorts of amazing diagnostics.

Forbes - AI Could Reshape Humanity And We Have No Plan For It

But the real story, according to Susskind, lies elsewhere: "Machines that most AI people are working on are not seeking to replicate the way humans work. They're seeking to provide outcomes that match or even are better than those of human beings, but using their own distinctive capabilities."

ZDNet - First $1B business with one human employee will happen in 2026, says Anthropic CEO

For example, he says proprietary training or dev tooling companies are examples of where this solo-preneur work, aided by AI, could be done. People just need to adopt the product, and customer service can be as simple as asking a question and having the model answer it.

Information Week - Let the AI Security War Games Begin

What exactly is IT up against? The AI tools that are available on the dark web and in public cyber marketplaces give security perpetrators a wide choice of AI weaponry. Also, IoT and edge networks now present much broader enterprise attack surfaces. Security threats can come in videos, phone calls, social media sites, corporate systems and networks, vendor clouds, IoT devices, network end points, and virtually any entry point into a corporate IT environment that electronic communications can penetrate.

VentureBeat - Google just leapfrogged every competitor with mind-blowing AI that can think deeper, shop smarter, and create videos with dialogue

Most notable is the introduction of “Deep Think,” an enhanced reasoning mode for the Pro model that Google claims delivers breakthrough performance on complex tasks by using parallel thinking techniques. The company says this approach allows the model to consider multiple possibilities simultaneously, similar to how AlphaGo revolutionized game playing.

Computerworld - How Microsoft wants AI agents to use your PC for you

Microsoft’s concept revolves around the Model Context Protocol (MCP), which was created by Anthropic (the company behind the Claude chatbot) last year. That’s an open-source protocol that AI apps can use to talk to other apps and web services. Soon, Microsoft says, you’ll be able to let a chatbot — or “AI agent” — connect to apps running on your PC and manipulate them on your behalf.

AI Changes Everything Substack - AI Evolves to Achieve Artificial Innovation

DeepMind’s prior inventive AI models were ‘narrow AI’ problem solvers in that the AI solved a specific problem domain, albeit some important ones like materials (GNoME) and biology (AlphaFold). In contrast, AlphaEvolve addresses the much more general domain of algorithms. As an improvement on DeepMind’s prior work (StepFun) in algorithm discovery, AlphaEvolve is the most powerful and most general AI for innovation.

Forbes - Predictive Analytics—Why It Matters And How AI Supercharges It

In fact, traditional defect detection methods tend to catch the problem at a late stage in the development lifestyle, which will definitely result in a delay and a steep cost. Predictive analytics gives developers the capability to forecast defect risk early, which helps targets test and take remedial action. Predictive models also allow resources to be allocated and focus efforts in high risk areas of the software, thus improving testing and overall software reliability.”

Geekwire - What AI can learn from the browser wars: Microsoft CTO calls for open standards to fuel ‘agentic web’

“Having every business application just show up as an MCP server, you can imagine as a developer how you can start thinking about the next level of automation,” Nadella said. “It’s just a complete game changer in terms of how we think about workflow and business process automation.”

Diginomica - AI and copyright – is generative AI really 'transformative?' Not so much, says the US Copyright Office

Meanwhile, copyright is the issue that just won't go away, despite some administrations' determination to kill it. If any lawsuit against vendors is successful, in whole or in significant part, the ramifications would be enormous and may demand an industry-wide change of heart. The era of force-feeding users, plus of vendors' cavalier actions with creators' intellectual property, may not be with us for long.

Computerworld - The great Google Gemini deceit

The real issue here isn’t that this type of technology isn’t in any way valid or useful — far from it. It’s just that it isn’t designed to do or currently even capable of doing what nearly every tech company out there is breathlessly telling us it can handle in our personal and professional lives.

AI Adoption and Usage

Information Week - How To Measure AI Efficiency and Productivity Gains

The challenge in measuring AI efficiency depends on the type of AI and how it's ultimately used, Gaus says. Manufacturers, for example, have long used AI for predictive maintenance and quality control. "This can be easier to measure, since you can simply look at changes in breakdown or product defect frequencies," he notes. "However, for more complex AI use cases -- including using GenAI to train workers or serve as a form of knowledge retention -- it can be harder to nail down impact metrics and how they can be obtained."

The AI Agent Architect Substack - The 6 Questions I Now Ask Before Any AI Meeting

The reality is that AI discussions have become information-harvesting sessions where experts are expected to deliver clarity despite executives not having done the foundational thinking. This “compass” is intended to reverse that dynamic.

Forbes - AI Agents Deliver Productivity, But That’s Only Part Of The Story

At this point, few AI agents are ”transforming how work gets done," the PwC report’s authors state. “Many employees are using agentic features built into enterprise apps to speed up routine tasks — surfacing insights, updating records, answering questions. It’s a meaningful boost in productivity, but it stops short of transformation.”

Diginomica - AI ROI expectations set to rise as spend increases, but Box data into adoption factors highlights alarming governance shortcomings

There’s an interesting distinction made about the maturity status of current adopters. Nearly half (47%) say they are at an early stage with limited deployments, while 39% see themselves as being a “developing” user with multiple implementations. Only seven percent call themselves “advanced” on the back of widespread adoption, while a paltry one percent believe they have AI “fully-integrated” into their business operations.

ZDNet - 4 ways business leaders are using AI to solve problems and create real value

"It's usually when you don't have a clear use case or business value attached, but you have a cool problem that you want to solve. Those are the ones that you have to say, 'Hold on a second. I know that's a cool problem, but what's the business case?'" he said.

The Hacker News - AI Agents and the Non‑Human Identity Crisis: How to Deploy AI More Securely at Scale

The next phase of AI adoption will belong to organizations that treat non-human identities with the same rigor and care as they do human users. Continuous monitoring, lifecycle management, and robust secrets governance must become standard operating procedure. By building a secure foundation now, enterprises can confidently scale their AI initiatives and unlock the full promise of intelligent automation, without sacrificing security.

Forbes - Predictive AI Must Be Valuated – But Rarely Is. Here's How To Do It

So why do most predictive AI projects fail to estimate the business value, much to their own demise? Ultimately, this is not a technology fail – it’s an organizational one, a glaring symptom of the biz/tech divide. Business stakeholders delegate almost every aspect of the project to data scientists. Meanwhile, data scientists as a species are mostly stuck on arcane technical metrics, with little attention to business metrics. The typical data scientist’s training, practice, shop-talk and toolset omits business metrics. Technical metrics define their comfort zone.

The AI Memo Substack - Conference Insights: What AI, IT, and HR Leaders Are Really Saying About AI Adoption

But getting “AI ready” takes more than a memo. A mix of hands-on training, genuine encouragement to use AI within your team, and, yes, usable data are the fundamentals for fostering AI readiness. Data leaders see the engine room every day, and they know how messy their company’s data can be. While the current investment in organizations is allocated to AI projects, data leaders can position data projects as “Phase 0” of such a project to improve the foundation.

Information Week - Future-Proofing Enterprise Transformation: A CIO’s Guide to AI-Driven Innovation

Many companies are on the verge of digital transformation to modernize their IT landscapes, yet AI is often viewed as a mere innovation metric, added to enhance existing systems. AI should be embedded when designing core business processes to align business architecture with IT architecture.

Forbes - Transformation And Time In Business AI Frenzy

“I think right now we're at an interesting inflection point where the technology is far outpacing the cultural change and the adoption of the workforce,” she said. “So the technology is evolving every six months. It in general, takes six years for cultures to evolve. And so the technology is outpacing all of us and our human behavior. … our approach is to experiment. …. What do you want to learn? How quickly do you learn it?”

SiliconANGLE - AI budgets are hot, IT budgets are not

Though the vast majority of customers continue to spend on AI, reported returns are no greater than, and frankly lag those, typically associated with historical information technology initiatives such as enterprise resource planning, data warehousing and cloud computing. Let’s face it, the multihundred-billion-dollar annual capital expenditure outlay from hyperscalers and sovereign nations is fueling the euphoria and essentially supporting blind faith in the AI movement.

Forbes - 5 Ways AI Agents Will Reshape Executive Leadership In 2025

And yet, full-scale adoption still lags. According to McKinsey, despite widespread use, just 1% of companies consider their AI adoption to be mature. Surprisingly, it’s not employee resistance that’s slowing things down—it’s leadership hesitancy.

Forbes - The Role Of AI In USCIS: Key Facts And Implications

It used to take an average of 10.5 months to process a case. After implementing AI, it now takes an average of 6.1 months per case, allowing for the USCIS to process an unprecedented 10.9 million cases last year, which reduced their backlog by 15% for the first time in over a decade.

AiThority - AI Adoption Surges to 72 Percent – Inoxoft Bridges Budgeting Gap with AI-Powered Software Cost Estimator

After completing a short, interactive form about their software goals and AI requirements, users receive a customized estimate in minutes. Behind the scenes, Inoxoft’s algorithms combine project data with industry expertise to deliver accurate projections. It’s a tool built to support CTOs, product owners, and business leaders who need clarity before they commit.

Forbes - Survey Says 67% Of Jobs Use AI, But Do Leaders Understand Its Limits?

In a survey of 1,000 knowledge workers, 67% of respondents said that their companies use AI, with 56% of companies encouraging AI usage. Owl Labs created the survey, and they found that Gen Z employees are more likely to report being “heavily reliant” on AI, with 70% of the youngest generation leaning in on the tech for a multitude of tasks. That lines up with the observations of OpenAI CEO, Sam Altman, who recently shared that Gen Z workers view ChatGPT as a “life adviser". Embracing technology is a good idea, but is Gen Z squeezing LLMs too tightly? What do these current and future workforce leaders need to know, about what AI can (and can’t) do?

FedScoop - NCIS, FBI officials see promise in artificial intelligence use cases for business side

He called the process of creating that tool a “good pathfinder” for deploying the technology and agreed with Scovel, saying that “not only on the investigative and operational side, but on more the business management of our big organizations, there’s a lot of opportunities for just efficiency in the triage and review that information.”

VentureBeat - Adopting agentic AI? Build AI fluency, redesign workflows, don’t neglect supervision

Agentic AI could act as a competent virtual assistant, sifting through data, working across platforms, learning from processes and producing real-time insights or predictions. But, similar to onboarding new recruits, AI agents demand considerable testing, training and guidance before they can operate effectively. So, humans will act as custodians, arguably occupying a more supervisory role. For example, we must ensure adherence to a central governance framework, maintain ethical and security standards, foster a proactive risk response and align decisions with wider company strategic goals.

Computerworld - Half of tech execs are ready to let AI take the wheel

Now, half of more than 500 tech executives surveyed by EY in its latest Technology Pulse Poll said AI agents will make up the majority of upcoming AI deployments. The survey revealed that 48% are already adopting or fully deploying AI agents, and half of those leaders say that more than 50% of AI deployments will be autonomous in their company in the next 24 months.

Diginomica - AI and cybersecurity are creating a new tech talent landscape - here's how digital leaders are responding

A positive return on investment (RoI) from AI implementation is reported by one in three organizations, with the tech and telco sectors ahead, in part because of the high demand on contact centers in these verticals. As the pioneer of the latest wave of AI, the US is leading AI adoption, with 38% of digital leaders telling Nash Squared they have widespread implementations. Large-scale AI adoptions have increased by 90% since the last report, and leadership boards are convinced of the potential of AI, but many CIOs are struggling to prove the business case.

Forbes - AI Agents Are Already Changing Everything And Here’s How You Can Try Them Today

DeepSeek has already shown that it can build and operate LLM models at a fraction of what was believed to cost. It has also launched its own agent service, called Manus AI, at a more accessible price point of $39 per month. In demonstrations, Manus has been shown to be able to develop and deploy an entire website from a single prompt (if a little slowly).

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