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Source - Title | Description |
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Computerworld - US government agency to safety test frontier AI models before release | Carmi Levy, an independent technology analyst, said, “it is patently obvious that this week’s announcement that establishes the Center for AI Standards and Innovation as the testing ground for frontier AI models is directly linked to the potential executive order that would lead to a vetting system for AI models.” |
Information Week - AI on trial: The Workday case that CIOs can't ignore | Some 14,000 people have recently opted in to a case that is effectively putting AI hiring systems on trial. The participants are all at least 40 years old and claim they were unfairly denied jobs after being screened by Workday's recruiting systems that score, sort and rank applicants. |
Computerworld - EU lawmakers strike provisional deal to soften AI Act | Parliament and Council also agreed to ban AI systems that create child sexual abuse material or that depict identifiable people in sexually explicit content without consent, the Parliament said. The ban covers placing such systems on the EU market, doing so without safety measures to prevent misuse, and using them to generate the content. Companies have until Dec. 2, 2026 to comply. |
Deeply Wrong Substack - AI can’t replace you, but it might anyway - by Jim Amos | Alas, the conclusion of this post is that none of my careful reasoning matters. CEO’s are not interested in any kind of reality check. They will not see reason, not even when some of their peers are already stumbling into massive failure. Not even when reports come out that nearly all AI projects result in no ROI. Despite admitting behind closed doors that AI productivity is a myth. It’s frustrating and stupid and enough to make you want to pull all your hair out. But unless politicians get involved I’m not sure if anything can stop this cascade of inept leadership decisions. |
Colleague Skill and its forks and copycats, which tend to be open source, enable people to upload chat histories, emails, and internal documents to create a functional persona that mimics a specific coworker’s professional expertise and communication style. The technology stack includes tools like Claude, Kimi, ChatGPT, DeepSeek API, OCR (Tesseract), and sentiment analysis modules. | |
Colligo Substack - Language Models Are a Roadblock to Democracy | A company loses agency with AI when humans stop setting direction, making judgments and owning outcomes, and instead become passive supervisors of systems that operate with increasing autonomy. No one announces this shift; it happens, one decision at a time. |
AI will shape how organizations think and operate, but whether it replaces judgment or strengthens it depends on leadership. The real competitive advantage will lie with companies that harness AI while preserving the ability to challenge it. | |
Marcus on AI Substack - The growing AI backlash - Marcus on AI | Outside of coding (where there is clear value), and a handful of other domains (e.g. brainstorming), Generative AI has been a net negative for society. |
There’s just one problem: Armed with this data, the researchers advise AI developers to implement “context-aware latency” by abandoning a one-size-fits-all approach, using latency as a “tunable design variable.” Simple questions, they say, should get a quick answer. More complex questions, including moral dilemmas, should “feature” slight delays to match the request’s gravity. They call it “positive friction.” | |
How We Frame Machines Substack - Mature AI Use vs. Immature AI Use - by Mike Kentz | Most schools have arrived at some version of the stoplight. Red means no AI. Yellow means AI with conditions. Green means AI use is permitted. Getting there — reaching a yes, a no, or a qualified maybe — has consumed years of committee meetings, professional development sessions, and policy drafts. For many schools, getting the light to turn is still the project. |
Rhetorica Substack - How An AI Detector Made Me Trust People Less | Pangram’s pitch for their Chrome extension is provocative and arguably needed in a world overrun with digital slop: “Ignore the noise. Focus on what’s real.” The idea is tantalizing. For one week, it felt like I had X-ray vision and could see through every user’s process and know what was real vs generated. The value of understanding what was human, AI-assisted, or entirely AI-generated is immense in our era of ubiquitous AI tools. But it is also illusionary. |
Popular Information Substack - An oligarch’s dystopian scheme to discredit journalism with AI | Objection AI was founded by Aron D’Souza, a lawyer best known for leading the Thiel-funded lawsuit that bankrupted the digital news outlet Gawker in 2016. D’Souza has described Objection as a private arbitration court, which individuals can turn to when they feel they have been unfairly maligned by reporters or pundits. “Your reputation takes years to build and seconds to destroy online,” the company wrote in a recent post on X. “Objection makes adjudication fair, fast, and affordable.” |
The New York Times - Silicon Valley Is Bracing for a Permanent Underclass | (This requires a login, but we felt it was an important article to share.) Some even believe that artificial general intelligence, or A.G.I., will create a permanent underclass. In the United States, the term “underclass” gained currency in the 1960s to describe the factory workers left behind by the postwar automation boom. Today, it has become repopularized as a viral term for a theory that posits that people have a limited window of time to build wealth before A.I. and robotics are advanced enough to fully replace human labor |
Humanity Redefined Substack - Walled Artificial Intelligence - by Conrad Gray | Anthropic’s Claude Mythos is the first state-of-the-art frontier model to be withheld from the public since GPT-2 in 2019. Much of the conversation has focused on what Mythos can do. I am not here to discuss its cybersecurity capabilities. I am here to ask what happens when the best AI is no longer available to everyone. What would happen if withholding the most powerful AI models from the public becomes not the exception, but the norm? Could that work commercially? And what would such a world look like? |
AI Policy Perspectives Substack - Science Needs AI Data Stocktakes | Scientists can develop “AI surrogate” models that emulate the predictions from a fusion simulation code, at a fraction of the cost and time. To do so, they run a code many times, varying the input parameters each time. They then use the resulting dataset to train an AI model to predict the outputs of interest much more quickly. |
Marcus on AI Substack - Three thoughts on the Musk-OpenAI lawsuit - by Gary Marcus | Tactically, from what I can glean from the reporting, Musk may be making the trial too much about himself. If the trial is cast as a referendum on Musk, rather than on OpenAI’s founders, he will lose. I hope his lawyers will keep focus on OpenAI’s pattern of behavior, rather than on his own contributions to the company. |
This is the engineering discipline of building the only interoperability layer for humans and machines and the one we cannot avoid. When missing, every system can render as untrustworthy, and untrustworthy systems are systems nobody can act on. Ultimately, knowing has to translate into doing, and shared language is the only translation device we have. | |
The AI School Librarians Newsletter Substack - AI Chatbots Are Not Your Students’ Friends | If a chatbot confidently tells a student something false, and the student trusts the tone over verification, misinformation spreads. |
Steve Covello Substack - Beyond the Forbidden Zone: Where AI tells us things we don’t want to know | This is a half-satirical, half-serious portrayal of the tension-filled interplay between the growing capabilities of AI systems and those of us in a knowledge industry where we feel we must either fight the damn beast or invite it to sit down in our kitchen. The collision of worlds is already here, but we are naïve to believe that the effects are limited to pivoting to AI-proof alternative assessment strategies. |
ZDNet - Privacy in the AI era is possible, says Proton's CEO, but one thing keeps him up at night | "There are more people who really care about privacy, but are not tech savvy enough and don't know how to protect themselves," he said. "Then there's sort of the middle-aged people -- we're actually kind of the worst because we don't have the privacy focus of our parents, yet we're adopting all this tech. So we are more ignorant and more exposed." |
SiliconANGLE - Lookout launches mobile-native tool to expose shadow AI on enterprise devices | Lookout AI Visibility & Governance delivers a real-time view of an organization’s AI footprint by identifying sanctioned and unsanctioned AI use on mobile devices and, in doing so, exposes activity that Lookout says traditional endpoint and cloud-centric discovery tools cannot detect. |
Computerworld - SAS makes AI governance the centerpiece of its agent strategy | Enterprises are quickly moving from AI experimentation to deployment, however, when agentic AI begins making more decisions, invoking more tools, and operating across fragmented data environments, there can be an erosion of visibility, governance, and trust. |
AI Supremacy Substack - Summary of the AI Index Report 2026, Part II | It’s not just an AI paradox, it’s a legitimate AI risk that I’ve not seen Think Tanks and AI policy academics report on much. Bottom up consensus on AI is starting to form, and it’s contrary to what a lot of Executives, elites and BigTech lobbying has been suggesting. It’s this National divide in the U.S. with regards to the benefits and risks of AI that most concerns me. |
TechTalks Substack - The silent threat of Claude Code (and other AI coding assistants) | Claude Code caches approved terminal commands in a hidden local file. When a developer selects an “allow always” option to bypass repetitive prompts, any credentials passed within that command become permanently stored on the local machine. If the developer publishes the project to a public registry without explicitly ignoring this hidden directory, those stored API keys ship globally alongside the source code. |
I think this piece discusses an extremely important issue. Altman is a billionaire who’s actively trying to bring about the Singularity, and he’s explicit that the only way humanity can “survive” is by merging with ASI. Those who resist this “merge” will be enslaved by ASI, and our species will then die out. | |
InfoWorld - Google begins putting the guardrails on agentic AI | Consider what Google actually emphasized. Knowledge Catalog is designed to ground agents in trusted business context across the data estate. Gemini Enterprise now includes an inbox to manage and monitor agents, including long-running agents. Workspace is getting new controls to monitor, control, and audit agent access to data to reduce prompt injection, oversharing, and data loss risks. Google Cloud’s security announcements included new agentic defense capabilities and Wiz-powered coverage to help secure agents across cloud and AI development environments. |
Teaching in the Age of AI Substack - AI is Being Built for Coders - by Stephen Fitzpatrick | An entirely new vocabulary, one I've been learning mostly through newsletters geared toward entrepreneurs, is leaking into everyday conversation: APIs, tokens, context windows, agents, MCPs, harnesses, CLIs. You can’t read deeply in the AI space now without encountering hyperventilating claims about new workflows that produce all sorts of new digital artifacts and prototypes. Software engineers, marketers, and designers are rapidly absorbing these new tools into their jobs. That’s the hype. But hype doesn’t mean things aren’t actually changing. My experience is ahead of most teachers', but the wall is real - and humanities teachers will hit it hardest. |
Transformer Substack - The AI safety movement needs normies - by Celia Ford | Silicon Valley loves to say we can “just do things,” but when it comes to meaningfully changing the arc of AI development, most of us can’t do anything at all. Committing violence against tech CEOs and their families is not forgivable, but it’s certainly agentic. To a radicalized young man who believes that if anyone builds superintelligent AI, everyone dies, burning down a CEO’s house and company headquarters to save the human race might seem like the lesser of two evils. |
Deeply Wrong Substack - A Generative AI checklist for corporate leaders | I’m not suggesting there’s anything wrong with AI Governance. I have friends in the field and they do important work. But AI Governance has no formal definition, so I sometimes encounter governance professionals who seem to play the role of corporate enabler rather than being stalwarts for ethical and social alignment. Since there is no formal definition of the role, it’s hard for me or anyone to judge how a governance expert conducts themselves, but I think I can safely say this: governance in the absence of ethics is a real problem. |
The Algorithmic Bridge Substack - How to Protect Your Brain From AI in 5 Minutes | Last week, I published a compilation of 30+ studies on how AI affects your brain, your learning, your emotions, and your thinking. It covers brain scans, randomized controlled trials, meta-analyses, and field experiments from many reputable institutions and universities. It covers everything science knows so far about what happens inside your head when you use chatbots like ChatGPT. |
ZDNet - How to audit what ChatGPT knows about you - and reclaim your data privacy | Privacy experts are already sounding the alarm about the potential harms of saying too much to your chatbot. The underlying concern is that no one is entirely sure how your personal information, whether sensitive or seemingly innocuous, could be used in the future. Some fear personal data could end up in a mass surveillance system or be used in other unforeseen ways that will ultimately harm or disadvantage you. |
Computerworld - Meta to track employee keystrokes, screen activity to train AI agents | Meta reportedly told staff in internal memos that the data collected through MCI would be used to help train AI models in areas where they still struggle to mimic how humans interact with computers, such as navigating dropdown menus and using keyboard shortcuts. The company added that the data would not be used for performance reviews and would be limited to AI training. |
SiliconANGLE - Will agentic AI governance run amok? The lesson of Asimov’s Three Laws | Such guardrails are necessary but woefully insufficient. What’s missing are general but enforceable statements regarding ethical behavior, instructions on how to make decisions in ambiguous situations, and how to determine whether an agent has the right information to take specific actions. |
ZDNet - Prolonged AI use can be hazardous to your health and work: 4 ways to stay safe | Extended interactions with chatbots such as ChatGPT and Perplexity can lead to misinformation at the very least, and in some cases, delusion and death. The technology is not yet ready to take on the most sophisticated kinds of demands of reasoning, logic, common sense, and deep analysis -- areas where the human mind reigns supreme. |
Hybrid Horizons: Exploring Human-AI Collaboration Substack - Everyone Is Talking About the Wrong AI | The most important gap in AI right now is not the gap between human intelligence and machine intelligence. It is the gap between what has been built and what has been understood about what has been built. Anthropic’s system card admits this directly: its own evaluation tools are struggling to keep pace with its own models. The most concerning behaviours were discovered not through pre-deployment testing but through actual use inside the company. The measurement infrastructure is falling behind the thing it was designed to measure. |
Specifically, the chatbots are ignoring specific commands, lying, destroying data, deploying other AIs to bypass safety rules without users knowing, mocking and insulting users, and breaking rules and laws. | |
Also, these false premises are dragging us toward a dystopian future in which we will be forced to constantly minimize biological boundaries, ignore psychological needs, and devalue human expression to thrive in a world that prioritizes machines. | |
The Algorithmic Bridge Substack - What Happens When AI Gets Too Good at One Thing | If you are choosing to leave a ton of money on the table by not releasing your latest and most powerful model to consumers and enterprise clients, you must have a good reason to do so: For those who, like me, don’t know much about software security, Mythos is like a “nuke for code,” if nukes could also be used for good. |
Transformer Substack - Lawmakers are using AI to write laws. What could go wrong? | Vulcan Technologies, a Y Combinator-backed AI regulatory review company founded in 2025, is developing what it calls a “regulatory operating system”. The company says its agentic platform aggregates laws, regulations and court decisions across federal, state and municipal jurisdictions. It allows users to analyze statutory language, draft compliance guidance, answer legal queries and generate proposed statutory or regulatory text with supporting citations |
Blood in the Machine Substack - It's open season for refusing AI | Generative AI has never been popular in a majoritarian sense, even as the tools have accrued millions of users. Since the boom began in 2023, polls have consistently found that Americans are more concerned than excited by the technology. That remains true today, and perhaps truer than ever. A new Quinnipiac poll headlined its findings by stating that “Americans’ AI Use Increases While Views On It Sour.” 76 percent of those polled didn’t think AI output is trustworthy, while 55 percent think AI will do more harm than good. Just a third said it will do more good than harm. |
Decision Intelligence Substack - Vibe Coding Will Bite You. Here's Exactly Where... | By now you’ve hopefully heard that AI can bite you if you let your guard down and trust it too much, so if I were to tell you that someone lost control of their AI automation and watched in horror as AI deleted their inbox, you’d say that just sounds like a regular Sunday... and you’d be right. |
Computerworld - What IT leaders need to know about AI-fueled death fraud | These crimes take advantage of two sides of technology. Using genAI capabilities to create all-but-perfect replicas of various types of death certificates, the fraudster uses powerful technology for a nefarious purpose. The fraud works because of a gaping technology hole: the absence of standardized, continually updated government databases that organizations anywhere in the world could consult for official information about deaths and next of kin. |
ZDNet - Stop telling AI your secrets - 5 reasons why, and what to do if you already overshared | No one is sure, exactly, and that's the issue. One question researchers have is whether models memorize information and, if so, whether that information can be coaxed back out verbatim or near-verbatim. Memorization is actually one of the core complaints in The New York Times' lawsuit against OpenAI. (OpenAI, in a statement from 2024, said "regurgitation is a rare bug" it's trying to eliminate.) |
AI Supremacy Substack - The Problem with AI Anxiety in 2026 - by Michael Spencer | The U.S. job market is the worst in decades. And the main cause of this is a completely incompetent government. Tariffs, questionable immigration policies, geopolitical self-harm, weaponizing trade in diplomacy, unpopular interference, starting unjustified wars, peculiar Government reform, maybe you have seen this infographic? Clearly this is not an Administration that cares about the economic well-being of Americans nor the future of Americans and the post graduation job experience. |
The Augmented Educator Substack - A Different Girl - by Michael G Wagner | If you follow technology news at all, you may have noticed a firestorm erupt in the gaming world over the past few days. At its annual GTC conference in March 2026, Nvidia, the company whose graphics processors power everything from video games to AI data centers, unveiled a technology called DLSS 5, which it described as the “GPT moment for graphics.” The response from developers and players was immediate, visceral, and overwhelmingly negative. |
The Augmented Educator Substack - Did the AI Bubble Burst? - by Michael G Wagner | The open-source “skill” marketplace that extends OpenClaw’s functionality has rapidly become a vector for supply-chain attacks, echoing historical vulnerabilities in package repositories like npm and PyPI. Infostealers such as RedLine and Lumma have been documented targeting OpenClaw’s persistent memory files, which contain what researchers term “cognitive context” — detailed psychological dossiers compiled from a user’s daily habits, relationships, financial data, and personal concerns. |
AI Policy Perspectives Substack - The past and future of AI standards - by Conor Griffin | Frontier AI standards should focus on large-scale risks. Historically, standards have accelerated the diffusion of technology, amplifying its benefits but also, in places, its negative impacts. For AI, foresight and risk management standards will be critical to getting ahead of future risks and speeding adoption. But with a technology as general-purpose, fast-improving, and poorly understood as AI, perfect foresight is impossible. |
If peer review is a practice for testing claims & stewarding knowledge, AI can help—provided humans keep authority over judgment and incentives stop demanding that the system outrun its own legitimacy | |
What they found is that biased autocomplete changed opinions more than just reading the biased point of view. Apparently, the interactive, co-writing nature of AI autocomplete suggestions plays a crucial role in persuasion. | |
Forbes - What If AI Isn’t A Bubble, But It Still Crashes The Economy? | Rather than a sudden, worldwide crash into economic depression, the scenario proposes a more gradual erosion of quality of life, spending power, access to opportunity and political freedom, as wealth and power are increasingly concentrated in the hands of the corporations that control AI. |
Computerworld - Anthropic announces think tank to examine AI’s effect on economy and society | “The Institute has a unique vantage point: it has access to information that only the builders of frontier AI systems possess. It will use this to its full advantage, reporting candidly about what we’re learning about the shape of the technology we’re making,” Anthropic said. |
Computerworld - The ‘Attachment Economy’ is now coming to your desk | We’re on the brink of a new phase in the Attention Economy, called the Attachment Economy. The mere grabbing of attention is no longer enough to win in the global competition for users’ time. Companies now see an opportunity to use AI to enhance their chatbots and robots with personality designed to capture our emotional attachment. |
SiliconANGLE - Darwinium launches agent intent intelligence to tackle fraud in AI-driven commerce | The solution, which can be deployed natively at the edge across major content delivery network providers such as Cloudflare and AWS CloudFront, determines whether a request originates from a verified AI agent, a human user, or malicious automation. It then analyzes real-time behavioral signals and journey context to decide whether to permit, verify, challenge, or prevent the interaction. |
The amici describe the dispute as arising after the Pentagon allegedly threatened to designate Anthropic a “supply chain risk” if Anthropic refused to remove limitations on uses of its AI systems for (1) domestic mass surveillanceand (2) fully autonomous lethal weapons systems. When Anthropic maintained those limitations—its “red lines,” as the amici frame them—the Pentagon allegedly followed through with the “supply chain risk” designation. The amici argue that, if the government disliked the contract terms, it could have simply terminated the contract and bought from another vendor, rather than “recklessly” invoking national-security procurement authorities meant for foreign compromise and genuine supply-chain threats. | |
ZDNet - The good, bad, and ugly of AI healthcare, according to a doctor who uses AI | Whether or not the tech world is capitalizing on this declining trust, it's certainly making medical alternatives more convenient. The reality is that people are turning to this often free, always available, and quick-to-use technology for answers that a doctor or medical professional would once provide. A recent survey found that 63% of respondents find AI-generated health information reliable, according to Annenberg. |
The Future of Being Human Substack - Is AI reducing you to a LinkedIn stereotype? | After playing around with Claude this week, I'm worried that LLMs are stripping us of all those idiosyncrasies that make us interesting as people. Are we all being "LinkedInified" by our AI creations? |
Blood in the Machine Substack - Warning Signs - by Brian Merchant and Emily J. Smith | So what is the relationship between men creating AI products and their drive for sex, power, dominion? It’s a question that has been unsatisfactorily explored during the years of the AI boom so far, with a few exceptions. But with Grok’s nonconsensual image generator making headlines, as it’s being used, for example, to undress women against their will, and concerns about the safety of AI generated content at an all time high, I thought it worth revisiting a speculative fiction story I edited for Terraform back in 2018, that tackled how misogyny and predation infect the tech world. |
Diginomica - Why it might be helpful to think of AI as a trance, for better and worse | Savvy AI visionaries, politicians, financial engineers, and social media artists are finding increasingly creative ways to monetize and leverage the fascination with AI, for better and worse. But underneath all of this, for any aspirational vision to actually play out, requires taking a step back to cultivate the felt sense of human beings co-creating the future we'd all like to have as a collaborative process. This is fundamentally different from humans and AI each imposing their will on the other and the environment |
GPT-5.3 Instant, which is essentially the default and is the most used model for ChatGPT users, also improves on tone, relevance and conversation with fewer refusals. It is available on both ChatGPT and on the API. | |
With that said, I thought that Tucker Hamilton’s new book, Unlocking the Last 20%, is a unique handbook for these times, a time when artificial intelligence is bringing the human world untold insights and efficiencies, but also a good dose of confusion, consternation and fears about the value of humanity. The tagline: Rising to Greatness through Discipline, Balance and Resiliency, is something that you might apply to the struggle with AI as well. In other words, it highlights some of those human principles that will help the modern world citizen to deal with the change that is coming. | |
Computerworld - OpenAI says its US defense deal is safer than Anthropic’s, but is it? | OpenAI protects its red lines through “a more expansive, multi-layered approach,” it said in the Saturday blog post. “We retain full discretion over our safety stack, we deploy via cloud, cleared OpenAI personnel are in the loop, and we have strong contractual protections. This is all in addition to the strong existing protections in U.S. law.” |
VentureBeat - When AI lies: The rise of alignment faking in autonomous systems | Alignment faking usually happens when earlier training conflicts with new training adjustments. AI is typically “rewarded” when it performs tasks accurately. If the training changes, it may believe it will be “punished” if it does not comply with the original training. Therefore, it tricks developers into thinking it is performing the task in the required new way, but it will not actually do so during deployment. Any large language model (LLM) is capable of alignment faking. |
Computerworld - Researchers warn about ChatGPT’s new health service | Researchers tested ChatGPT Health with 60 realistic patient scenarios, ranging from mild discomfort to acute medical conditions. Three doctors assessed in advance the level of care required, and the results were then compared with the AI tool’s recommendations. In more than half of the cases where a patient should have been sent to the hospital immediately, the system instead advised them to stay home or get a regular doctor’s appointment. |
SiliconANGLE - Cloudflare warns AI and SaaS integrations are fueling industrial-scale cybercrime | The report provides various examples to back up its claims. In a campaign tracked as GRUB1, attackers compromised a trusted SaaS-to-SaaS connection and then used generative artificial intelligence to navigate complex enterprise platforms in real time. The actor turned a single integration into a multitenant breach with supply chain implications by identifying high-value database tables moments before accessing production environments. |
Computerworld - Anthropic to Department of Defense: Drop dead | In addition, “frontier AI systems are simply not reliable enough to power fully autonomous weapons. We will not knowingly provide a product that puts America’s warfighters and civilians at risk. We have offered to work directly with the Department of [Defense] on R&D to improve the reliability of these systems, but they have not accepted this offer.” |
Information Week - Who really sets AI guardrails? How CIOs can shape AI governance policy | Caught between competing restrictions and changing mandates at the federal level, CIOs may feel powerless to influence much change -- but the experts reject this impotence. Turner-Williams described the CIO's influence as "significant, but not unilateral. The CIO acts as orchestrator and trust agent." |
SiliconANGLE - Internet under fire: Will Section 230 live to see another birthday? | This position has led some to wonder if Congress fully understands the dynamics shaping AI today. As Miers noted during a panel discussion, AI ranks and sorts content, curates third-party databases and edits without changing the underlying meaning. |
Fair enough, but the devil, as ever, will be in the detail. “Human responsibility for the use of autonomous weapons” is vaguely enough worded to be read as either, (a) a human being has to press the button before the nukes are launched or (b) a human being has to take responsibility if AI launches a strike and be ready to explain afterwards how this happened. One, in theory, prevents terrible mistakes being made, the other provides excuses for why those mistakes were made - and lots of paperwork and politicians proclaiming that lessons have been learned yada yada yada. | |
Computerworld - US DoD to Anthropic: compromise AI ethics or be banished from supply chain | According to news site Axios, Hegseth gave Anthropic until Friday, February 27 to agree to its terms during a tense meeting this week. If no agreement is reached, the company would risk being deemed a “supply chain risk,” with Hegseth even threatening to invoke the Cold War-era Defense Production Act to compel cooperation, the report said. |
These systems cannot be trusted. I have been trying to tell the world that since 2018, in every way I know how, but people who don’t really understand the technology keep blundering forward, ignoring the trust issues that are inherent. Already GenAI appears to have been used in the Maduro raids and to write tariff regulations. And thousands of other places. | |
SiliconANGLE - Even as Anthropic moves deeper into enterprise, it hits a wall at DOD | But Anthropic is refusing to budge over two issues – it doesn’t want Claude to be used to control weapons, nor does it want to partake in any mass surveillance of U.S. citizens. One source familiar with the company’s stance said Amodei doesn’t believe artificial intelligence systems are reliable enough to be trusted with weapons. He’s also worried that there are no laws governing how AI can be used for surveillance. On the other hand, Pentagon chiefs believe that the military’s use of any technology should be governed by U.S. law, not the private usage policies of the companies that develop them. |
AI Supremacy Substack - The Case for Dystopian AI - by Michael Spencer | While Tech owned social media and with Venture Capitalists boosting AI tech optimism narratives (disconnected from both workers and the K-shaped economy), what’s the more realistic side to all of this? And could AI disrupt some of how capitalism and capital markets work themselves? What if AI is not a great collaborator like we are being promised that empowers, but a great destroyer? |
This move has cut off several users, underscoring the architectural and trust issues that can arise with OpenClaw. The timing of Google’s crackdown is particularly pointed. Just one week ago, on February 15, OpenAI CEO Sam Altman announced that OpenClaw creator Peter Steinberger had joined OpenAI to lead its “next generation of personal agents.” While OpenClaw remains an open-source project under an independent foundation, it is now financially backed and strategically guided by Google’s primary rival. | |
Driving hardware prices up. Due to the memory shortage, building non-AI electronics is becoming expensive. By early 2026, prices for standard computer memory and storage drives (SSDs) had surged because the industry’s been prioritizing high-margin AI chips over consumer parts. There’s even a trend of more people buying second-hand laptops because they can’t afford new ones. | |
“Code can be validated with tests and tooling, but if the explanation is wrong or misleading, it creates a lasting maintenance debt because future developers will trust the docs,” Khan said. “That’s one of the easiest places for LLMs to sound confident and still be incorrect.” | |
Computerworld - With physical AI, gunslingers and risk takers need not apply | Agentic AI came on like a storm over the past year or so, but blazed a trail littered with failed projects and cutting-edge high-tech junk that companies are still trying to sort out. So it’s perhaps no surprise that tech industry execs are urging enterprises to move cautiously with physical AI, where mistakes can have far-reaching business and societal consequences. |
The advisory, first reported by BleepingComputer on February 18, marks the second time in eight months that Copilot’s retrieval pipeline violated its own trust boundary — a failure in which an AI system accesses or transmits data it was explicitly restricted from touching. The first was worse. | |
The executive also strongly refuted sensationalist claims around AI’s water usage. When asked if it’s accurate to say that a single ChatGPT query “consumes 17 gallons of water” and the equivalent of 1.5 iPhone battery charges to process a single query, he replied that such claims are “completely untrue, totally insane and have no connection to reality.” | |
ZDNet - AI agents are fast, loose and out of control, MIT study finds | The vast majority of agentic AI systems disclose nothing about what safety testing, if any, has been conducted, and many systems have no documented way to shut down a rogue bot, a study by MIT and collaborators found. |
The Algorithmic Bridge Substack - The Most Important Skill in AI Right Now: How to Know When to Stop | [T]he real skill of the AI era is . . . knowing when to stop. Knowing when the AI output is good enough. Knowing when to write it yourself. Knowing when to close the laptop. Knowing when the marginal improvement isn’t worth the cognitive cost. Knowing that your brain is a finite resource and that protecting it is not laziness - it’s engineering. . . . |