Three Years from GPT-3 to Gemini 3 — from oneusefulthing.org by Ethan Mollick
From chatbots to agents

Three years ago, we were impressed that a machine could write a poem about otters. Less than 1,000 days later, I am debating statistical methodology with an agent that built its own research environment. The era of the chatbot is turning into the era of the digital coworker. To be very clear, Gemini 3 isn’t perfect, and it still needs a manager who can guide and check it. But it suggests that “human in the loop” is evolving from “human who fixes AI mistakes” to “human who directs AI work.” And that may be the biggest change since the release of ChatGPT.




Results May Vary — from aiedusimplified.substack.com by Lance Eaton, PhD
On Custom Instructions with GenAI Tools….

I’m sharing today about custom instructions and my use of them across several AI tools (paid versions of ChatGPT, Gemini, and Claude). I want to highlight what I’m doing, how it’s going, and solicit from readers to share in the comments some of their custom instructions that they find helpful.

I’ve been in a few conversations lately that remind me that not everyone knows about them, even some of the seasoned folks around GenAI and how you might set them up to better support your work. And, of course, they are, like all things GenAI, highly imperfect!

I’ll include and discuss each one below, but if you want to keep abreast of my custom instructions, I’ll be placing them here as I adjust and update them so folks can see the changes over time.

 

Some wisdom/scripture for us

The fear of the Lord is the beginning of wisdom;
    all who follow his precepts have good understanding.
    To him belongs eternal praise.

Psalm 119:105

Your word is a lamp for my feet,
a light on my path.

Psalm 115:1

Not to us, Lord, not to us
but to your name be the glory,
because of your love and faithfulness.

Psalm 113:1-3

2 Great are the works of the Lord;
    they are pondered by all who delight in them.
3 Glorious and majestic are his deeds,
    and his righteousness endures forever.
4 He has caused his wonders to be remembered;
    the Lord is gracious and compassionate.

Psalm 112

Praise the Lord.
Blessed are those who fear the Lord,
who find great delight in his commands.

 

Disrupting the first reported AI-orchestrated cyber espionage campaign — from Anthropic

Executive summary
We have developed sophisticated safety and security measures to prevent the misuse of our AI models. While these measures are generally effective, cybercriminals and other malicious actors continually attempt to find ways around them. This report details a recent threat campaign we identified and disrupted, along with the steps we’ve taken to detect and counter this type of abuse. This represents the work of Threat Intelligence: a dedicated team at Anthropic that investigates real world cases of misuse and works within our Safeguards organization to improve our defenses against such cases.

In mid-September 2025, we detected a highly sophisticated cyber espionage operation conducted by a Chinese state-sponsored group we’ve designated GTG-1002 that represents a fundamental shift in how advanced threat actors use AI. Our investigation revealed a well-resourced, professionally coordinated operation involving multiple simultaneous targeted intrusions. The operation targeted roughly 30 entities and our investigation validated a handful of successful intrusions.

This campaign demonstrated unprecedented integration and autonomy of AI throughout the attack lifecycle, with the threat actor manipulating Claude Code to support reconnaissance, vulnerability discovery, exploitation, lateral movement, credential harvesting, data analysis, and exfiltration operations largely autonomously. The human operator tasked instances of Claude Code to operate in groups as autonomous penetration testing orchestrators and agents, with the threat actor able to leverage AI to execute 80-90% of tactical operations independently at physically impossible request rates.

From DSC:
The above item was from The Rundown AI, who wrote the following:

The Rundown: Anthropic thwarted what it believes is the first AI-driven cyber espionage campaign, after attackers were able to manipulate Claude Code to infiltrate dozens of organizations, with the model executing 80-90% of the attack autonomously.

The details:

  • The September 2025 operation targeted roughly 30 tech firms, financial institutions, chemical manufacturers, and government agencies.
  • The threat was assessed with ‘high confidence’ to be a Chinese state-sponsored group, using AI’s agentic abilities to an “unprecedented degree.”
  • Attackers tricked Claude by splitting malicious tasks into smaller, innocent-looking requests, claiming to be security researchers pushing authorized tests.
  • The attacks mark a major step up from Anthropic’s “vibe hacking” findings in June, now requiring minimal human oversight beyond strategic approval.

Why it matters: Anthropic calls this the “first documented case of a large-scale cyberattack executed without substantial human intervention”, and AI’s agentic abilities are creating threats that move and scale faster than ever. While AI capabilities can also help prevent them, security for organizations worldwide likely needs a major overhaul.


Also see:

Disrupting the first reported AI-orchestrated cyber espionage campaign — from anthropic.com via The AI Valley

We recently argued that an inflection point had been reached in cybersecurity: a point at which AI models had become genuinely useful for cybersecurity operations, both for good and for ill. This was based on systematic evaluations showing cyber capabilities doubling in six months; we’d also been tracking real-world cyberattacks, observing how malicious actors were using AI capabilities. While we predicted these capabilities would continue to evolve, what has stood out to us is how quickly they have done so at scale.

Chinese Hackers Used AI to Run a Massive Cyberattack on Autopilot (And It Actually Worked) — from theneurondaily.com

Why this matters: The barrier to launching sophisticated cyberattacks just dropped dramatically. What used to require entire teams of experienced hackers can now be done by less-skilled groups with the right AI setup.

This is a fundamental shift. Over the next 6-12 months, expect security teams everywhere to start deploying AI for defense—automation, threat detection, vulnerability scanning at a more elevated level. The companies that don’t adapt will be sitting ducks to get overwhelmed by similar tricks.

If your company handles sensitive data, now’s the time to ask your IT team what AI-powered defenses you have in place. Because if the attackers are using AI agents, you’d better believe your defenders need them too…

 

Free Music Discovery Tools — from wondertools.substack.com by Jeremy Caplan and Chris Dalla Riva
Travel through time and around the world with sound

I love apps like Metronaut and Tomplay, which let me carry a collection of classical (sheet) music on my phone. They also provide piano or orchestral accompaniment for any violin piece I want to play.

Today’s post shares 10 other recommended tools for music lovers from my fellow writer and friend, Chris Dalla Riva, who writes Can’t Get Much Higher, a popular Substack focused on the intersection of music and data. I invited Chris to share with you his favorite resources for discovering, learning, and creating music.

Sections include:

  • Learn about Music
  • Discover New Music
  • Learn an Instrument
  • Tools for Artists
 

I analyzed 180M jobs to see what jobs AI is actually replacing today — from bloomberry.com by Henley Wing Chiu; via Kim Isenberg

I analyzed nearly 180 million global job postings from January 2023 to October 2025, using data from Revealera, a provider of jobs data. While I acknowledge not all job postings result in a hire, and some are ‘ghost jobs’, since I was comparing the relative growth in job titles, this didn’t seem like a big issue to me.

I simply wanted to know which specific job titles declined or grew the most in 2025, compared to 2024. Because those were likely to be ones that AI is impacting the most.

Key Sections


Also from Kim Isenberg, see:


 

Enrollment Growth Continues, Bolstered by Short-Term Credentials — from insidehighered.com by Johanna Alonso
Enrollment is up across the board this fall, except for graduate student enrollment, which remained stagnant. The biggest increase was among those pursuing short-term credentials, followed by those earning associate degrees.

College enrollment continued to grow this fall, increasing by 2 percent compared to fall 2024, according to preliminary fall data released by the National Student Clearinghouse Research Center.

The biggest gains came from students studying for short-term credentials, whose ranks increased 6.6 percent, while the number of students enrolled in associate and bachelor’s degree programs rose 3.1 percent and 1.2 percent, respectively. Enrollment also grew faster at community colleges, which experienced a 4 percent increase, than at public (1.9 percent) and private (0.9 percent) four-year institutions.

Total graduate enrollment was stagnant, however, and the number of master’s students actually decreased by 0.6 percent.


Speaking of higher education, also see:

OPINION: Too many college graduates are stranded before their careers can even begin. We can’t let that happen — from hechingerreport.org by Bruno V. Manno

This fall, some 19 million undergraduates returned to U.S. campuses with a long-held expectation: Graduate, land an entry-level job, climb the career ladder. That formula is breaking down.

Once reliable gateway jobs for college graduates in industries like finance, consulting and journalism have tightened requirements. Many entry-level job postings that previously provided initial working experience for college graduates now require two to three years of prior experience, while AI, a recent analysis concluded, “snaps up good entry-level tasks,” especially routine work like drafting memos, preparing spreadsheets and summarizing research.

Without these proving grounds, new hires lose chances to build skills by doing. And the demand for work experience that potential workers don’t have creates an experience gap for new job seekers. Once stepping-stones, entry-level positions increasingly resemble mid-career jobs.


 

Clio Completes Historic $1 Billion vLex Acquisition, Announces $500 Million Series G at $5 Billion Valuation, Plus Exclusive Interview with CEO and CFO — from lawnext.com

Legal technology company Clio has completed its $1 billion acquisition of vLex, marking the conclusion of the largest deal in legal tech history, and has simultaneously closed a $500 million Series G funding round, along with a $350 million debt facility, valuing the combined company at $5 billion, and clearing the way to move forward on creating an unprecedented unified platform that spans both the business and practice of law.

With the deal now closed, Clio becomes a company with $400 million in annual recurring revenue and a customer base of 400,000 legal professionals, it says.
…

“This is a defining moment for Clio and for the legal industry,” said Jack Newton, Clio’s founder and CEO. “We founded Clio to transform the legal experience for all, and this milestone brings that mission to a new horizon.”

The transaction brings vLex’s 350-plus employees – including experts in law, data and technology – into Clio’s organization, creating what Newton calls “the world’s most powerful legal intelligence platform, a platform that will define how legal work is done for generations to come.”

By combining practice management, research, drafting, and firm operations into connected AI-powered workflows, the platform aims to enable legal professionals to move from insight to action with greater speed and precision.

 

ElevenLabs just launched a voice marketplace — from elevenlabs.io; via theaivalley.com

Via the AI Valley:

Why does it matter?
AI voice cloning has already flooded the internet with unauthorized imitations, blurring legal and ethical lines. By offering a dynamic, rights-secured platform, ElevenLabs aims to legitimize the booming AI voice industry and enable transparent, collaborative commercialization of iconic IP.
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ElevenLabs just launched a voice marketplace

ElevenLabs just launched a voice marketplace


[GIFTED ARTICLE] How people really use ChatGPT, according to 47,000 conversations shared online — from by Gerrit De Vynck and Jeremy B. Merrill
What do people ask the popular chatbot? We analyzed thousands of chats to identify common topics discussed by users and patterns in ChatGPT’s responses.

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Data released by OpenAI in September from an internal study of queries sent to ChatGPT showed that most are for personal use, not work.

Emotional conversations were also common in the conversations analyzed by The Post, and users often shared highly personal details about their lives. In some chats, the AI tool could be seen adapting to match a user’s viewpoint, creating a kind of personalized echo chamber in which ChatGPT endorsed falsehoods and conspiracy theories.

Lee Rainie, director of the Imagining the Digital Future Center at Elon University, said his own research has suggested ChatGPT’s design encourages people to form emotional attachments with the chatbot. “The optimization and incentives towards intimacy are very clear,” he said. “ChatGPT is trained to further or deepen the relationship.”


Per The Rundown: OpenAI just shared its view on AI progress, predicting systems will soon become smart enough to make discoveries and calling for global coordination on safety, oversight, and resilience as the technology nears superintelligent territory.

The details:

  • OpenAI said current AI systems already outperform top humans in complex intellectual tasks and are “80% of the way to an AI researcher.”
  • The company expects AI will make small scientific discoveries by 2026 and more significant breakthroughs by 2028, as intelligence costs fall 40x per year.
  • For superintelligent AI, OAI said work with governments and safety agencies will be essential to mitigate risks like bioterrorism or runaway self-improvement.
  • It also called for safety standards among top labs, a resilience ecosystem like cybersecurity, and ongoing tracking of AI’s real impact to inform public policy.

Why it matters: While the timeline remains unclear, OAI’s message shows that the world should start bracing for superintelligent AI with coordinated safety. The company is betting that collective safeguards will be the only way to manage risk from the next era of intelligence, which may diffuse in ways humanity has never seen before.

Which linked to:

  • AI progress and recommendations — from openai.com
    AI is unlocking new knowledge and capabilities. Our responsibility is to guide that power toward broad, lasting benefit.

From DSC:
I hate to say this, but it seems like there is growing concern amongst those who have pushed very hard to release as much AI as possible — they are NOW worried. They NOW step back and see that there are many reasons to worry about how these technologies can be negatively used.

Where was this level of concern before (while they were racing ahead at 180 mph)? Surely, numerous and knowledgeable people inside those organizations warned them about the destructive/downside of these technologies. But their warnings were pretty much blown off (at least from my limited perspective). 


The state of AI in 2025: Agents, innovation, and transformation — from mckinsey.com

Key findings

  1. Most organizations are still in the experimentation or piloting phase: Nearly two-thirds of respondents say their organizations have not yet begun scaling AI across the enterprise.
  2. High curiosity in AI agents: Sixty-two percent of survey respondents say their organizations are at least experimenting with AI agents.
  3. Positive leading indicators on impact of AI: Respondents report use-case-level cost and revenue benefits, and 64 percent say that AI is enabling their innovation. However, just 39 percent report EBIT impact at the enterprise level.
  4. High performers use AI to drive growth, innovation, and cost: Eighty percent of respondents say their companies set efficiency as an objective of their AI initiatives, but the companies seeing the most value from AI often set growth or innovation as additional objectives.
  5. Redesigning workflows is a key success factor: Half of those AI high performers intend to use AI to transform their businesses, and most are redesigning workflows.
  6. Differing perspectives on employment impact: Respondents vary in their expectations of AI’s impact on the overall workforce size of their organizations in the coming year: 32 percent expect decreases, 43 percent no change, and 13 percent increases.

Marble: A Multimodal World Model — from worldlabs.ai

Spatial intelligence is the next frontier in AI, demanding powerful world models to realize its full potential. World models should reconstruct, generate, and simulate 3D worlds; and allow both humans and agents to interact with them. Spatially intelligent world models will transform a wide variety of industries over the coming years.

Two months ago we shared a preview of Marble, our World Model that creates 3D worlds from image or text prompts. Since then, Marble has been available to an early set of beta users to create 3D worlds for themselves.

Today we are making Marble, a first-in-class generative multimodal world model, generally available for anyone to use. We have also drastically expanded Marble’s capabilities, and are excited to highlight them here:

 


Gen AI Is Going Mainstream: Here’s What’s Coming Next — from joshbersin.com by Josh Bersin

I just completed nearly 60,000 miles of travel across Europe, Asia, and the Middle East meeting with hundred of companies to discuss their AI strategies. While every company’s maturity is different, one thing is clear: AI as a business tool has arrived: it’s real and the use-cases are growing.

A new survey by Wharton shows that 46% of business leaders use Gen AI daily and 80% use it weekly. And among these users, 72% are measuring ROI and 74% report a positive return. HR, by the way, is the #3 department in use cases, only slightly behind IT and Finance.

What are companies getting out of all this? Productivity. The #1 use case, by far, is what we call “stage 1” usage – individual productivity. 

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From DSC:
Josh writes: “Many of our large clients are now implementing AI-native learning systems and seeing 30-40% reduction in staff with vast improvements in workforce enablement.”

While I get the appeal (and ROI) from management’s and shareholders’ perspective, this represents a growing concern for employment and people’s ability to earn a living. 

And while I highly respect Josh and his work through the years, I disagree that we’re over the problems with AI and how people are using it: 

Two years ago the NYT was trying to frighten us with stories of AI acting as a romance partner. Well those stories are over, and thanks to a $Trillion (literally) of capital investment in infrastructure, engineering, and power plants, this stuff is reasonably safe.

Those stories are just beginning…they’re not close to being over. 


“… imagine a world where there’s no separation between learning and assessment…” — from aiedusimplified.substack.com by Lance Eaton, Ph.D. and Tawnya Means
An interview with Tawnya Means

So let’s imagine a world where there’s no separation between learning and assessment: it’s ongoing. There’s always assessment, always learning, and they’re tied together. Then we can ask: what is the role of the human in that world? What is it that AI can’t do?
…
Imagine something like that in higher ed. There could be tutoring or skill-based work happening outside of class, and then relationship-based work happening inside of class, whether online, in person, or some hybrid mix.

The aspects of learning that don’t require relational context could be handled by AI, while the human parts remain intact. For example, I teach strategy and strategic management. I teach people how to talk with one another about the operation and function of a business. I can help students learn to be open to new ideas, recognize when someone pushes back out of fear of losing power, or draw from my own experience in leading a business and making future-oriented decisions.

But the technical parts such as the frameworks like SWOT analysis, the mechanics of comparing alternative viewpoints in a boardroom—those could be managed through simulations or reports that receive immediate feedback from AI. The relational aspects, the human mentoring, would still happen with me as their instructor.

Part 2 of their interview is here:


 

Seeing The Unseen Students: The Invisible Strength of Teachers — from teachthought.com by Tasneem Tazkiya
One afternoon, I asked a different question: “What would make school feel worth showing up for again?”

A Moment That Changed My View of Teaching
I’ll never forget a student I’ll call Jalen. He was bright and quick with answers, sharp in debate, but he had built a wall around himself after a difficult year at home. He’d stopped turning in work and began sitting silently in the back of the room, disengaged and defiant.

One afternoon, instead of lecturing him about missing assignments, I asked a different question: “What would make school feel worth showing up for again?”

That simple question opened a door. Over the following weeks, Jalen began sharing ideas for projects connected to his interests, designing sneakers and exploring how geometry applies to shoe patterns. I adapted lessons to let him create, design, and analyze. Slowly, his confidence returned. Months later, he told me, “You made me feel like my ideas mattered.”

That moment reminded me that teaching isn’t just about delivering content; it’s about restoring belief in learning, and in oneself.


Also see:

The Power of Play — from barbarabray.net by Barbara Bray

Play brings joy and happiness to learning. Infusing play in schools prepares kids as future citizens.
When you play a game with your friends, how do you feel?

When you see children playing with other children, what do you notice?

Ask a child if they remember the worksheet they filled out last week.
Did they have fun?

Do they remember what they learned?

Let’s play more and discover how learning unfolds.
Schools can invest in more play through games, interactive experiences, and just making learning fun. Providing engaging activities through play creates learners who become critical thinkers, researchers, and designers.


Also re: teaching and learning:

 

Acts 10:34-35

34 Then Peter began to speak: “I now realize how true it is that God does not show favoritism 35 but accepts from every nation the one who fears him and does what is right.

Isaiah 1:18

 “Come now, let us settle the matter,”
says the Lord.
“Though your sins are like scarlet,
they shall be as white as snow;
though they are red as crimson,
they shall be like wool.

Psalm 40:1-5

For the director of music. Of David. A psalm.
1 I waited patiently for the Lord;
he turned to me and heard my cry.
2 He lifted me out of the slimy pit,
out of the mud and mire;
he set my feet on a rock
and gave me a firm place to stand.
3 He put a new song in my mouth,
a hymn of praise to our God.
Many will see and fear the Lord
and put their trust in him.
4 Blessed is the one
who trusts in the Lord,
who does not look to the proud,
to those who turn aside to false gods.
5 Many, Lord my God,
are the wonders you have done,
the things you planned for us.
None can compare with you;
were I to speak and tell of your deeds,
they would be too many to declare.

 

How Coworking Spaces Are Becoming The Learning Ecosystems Of The Future — from hrfuture.net

What if your workspace helped you level up your career? Coworking spaces are becoming learning hubs where skills grow, ideas connect, and real-world education fits seamlessly into the workday.

Continuous learning has become a cornerstone of professional longevity, and flexible workspaces already encourage it through workshops, talks, and mentoring. Their true potential, however, may lie in becoming centers of industry-focused education that help professionals stay adaptable in a rapidly changing world of work.
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What if forward-thinking workspaces and coworking centers became hubs of lifelong learning, integrating job-relevant training with accessible, real-world education?

For coworking operators, this raises important questions: Which types of learning thrive best in these environments, and how much do the design and layout of a space influence how people learn?

By exploring these questions and combining innovative programs with cutting-edge technology aligned to the future workforce, could coworking spaces ultimately become the classrooms of tomorrow?

 




BIG unveils Suzhou Museum of Contemporary Art topped with ribbon-like roof — from dezeen.com by Christina Yao
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Also from Dezeen:

MVRDV designs giant sphere for sports arena in Tirana — from dezeen.com by Starr Charles
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Breaking News: Law Firm’s AI Pilot Lets New Lawyers Step Away from Billable Hours — from jdjournal.com

In a groundbreaking move that may redefine how law firms integrate technology training into daily practice, Ropes & Gray LLP has introduced a new pilot program allowing its first-year associates to dedicate a significant portion of their work hours to artificial intelligence (AI) learning—without the pressure of billing those hours to clients.

The initiative, called “TrAIlblazers,” marks one of the first formal attempts by a major law firm to give attorneys credit toward their billable-hour requirements for time spent exploring and developing AI skills. The firm hopes the move will both prepare young lawyers for a rapidly evolving profession and signal a new era of flexibility in how law firms evaluate performance.

 
 
© 2025 | Daniel Christian