Perspective.

https://www.bespacific.com/the-science-of-how-ai-pays-attention/

The science of how AI pays attention

Growth Memo: “I analyzed 1.2 million search results to find out exactly how AI reads. The verdict? It’s a busy editor, not a patient student… There isn’t much known about which parts of a text LLMs cite. We analyzed 18,012 citations and found a “ski ramp” distribution.

1. 44.2% of all citations come from the first 30% of text (the intro). The AI reads like a journalist. It grabs the “Who, What, Where” from the top. If your key insight is in the intro, the chances it gets cited are high.

2. 31.1% of citations come from the 30-70% of a text (the middle). If you bury your key product features in paragraph 12 of a 20-paragraph post, the AI is 2.5x less likely to cite it.

3. 24.7% of citations come from the last third of an article (the conclusion). It proves the AI does wake up at the end (much like humans). It skips the actual footer (see the 90-100% drop-off), but it loves the “Summary” or “Conclusion” section right before the footer.

Possible explanations for the ski ramp pattern are training and efficiency:

• LLMs are trained on journalism and academic papers, which follow the “BLUF” (Bottom Line Up Front) structure. The model learns that the most “weighted” information is always at the top.

• While modern models can read up to 1 million tokens for a single interaction (~700-800K words), they aim to establish the frame as fast as possible, then interpret everything else through that frame…”

Perspective.

https://sloanreview.mit.edu/audio/ai-is-not-improving-productivity-nobel-laureate-daron-acemoglu/

AI Is Not Improving Productivity: Nobel Laureate Daron Acemoglu

In this bonus episode of the Me, Myself, and AI podcast, Nobel Prize-winning economist Daron Acemoglu joins host Sam Ransbotham to challenge some of the most common assumptions about artificial intelligence’s future. Drawing on his book Power and Progress, Daron argues that technology doesn’t have a fixed destiny — and that today’s choices will determine whether AI boosts workers or simply accelerates automation and inequality. He makes a case for focusing on new tasks that complement human skills, rather than replacing them, and warns that current incentives push AI toward centralization and automation by default. The conversation tackles productivity myths, reliability risks, and why regulation should proactively steer AI toward social good.

Are we near the tipping point?

https://databreaches.net/2026/02/22/top-nato-allies-believe-cyberattacks-on-hospitals-are-an-act-of-war-theyre-still-struggling-to-fight-back/?pk_campaign=feed&pk_kwd=top-nato-allies-believe-cyberattacks-on-hospitals-are-an-act-of-war-theyre-still-struggling-to-fight-back

Top NATO allies believe cyberattacks on hospitals are an act of war. They’re still struggling to fight back.

Maggie Miller, Dana Nickel and Antoaneta Roussi report:

NATO countries’ restrained response to hybrid attacks is at odds with public opinion, new polling shows: Broad swaths of the public in key allied countries say actions such as cyberattacks on hospitals should be considered acts of war.

The POLITICO Poll, conducted in the United States, Canada, France, Germany and the United Kingdom, showed a majority of people agreed that a cyberattack that shuts down hospitals or power grids constitutes an act of war. Canadians felt the strongest about the issue, with 73 percent agreeing.

Respondents from all five countries also rallied behind the idea that sabotaging undersea cables or energy pipelines — which has occurred more frequently in recent years — should be considered be an act of war.

Read more at Politico.

Consider how this impacts AI ‘thinking.’

https://www.bespacific.com/does-retraction-after-misconduct-have-an-impact-on-citations/

Does retraction after misconduct have an impact on citations?

Candal-Pedreira C, Ruano-Ravina A, Fernández E, Ramos J, Campos-Varela I, Pérez-Ríos M.  Does retraction after misconduct have an impact on citations? A pre–post study.  BMJ Global Health. 2020; 5:e003719. https://doi.org/10.1136/bmjgh-2020-003719

• Background  Retracted articles continue to be cited after retraction, and this could have consequences for the scientific community and general population alike. This study was conducted to analyse the association of retraction on citations received by retracted papers due to misconduct using two-time frames: during a postretraction period equivalent to the time the article had been in print before retraction; and during the total postretraction period.

• Methods  Quasiexperimental, pre–post evaluation study. A total of 304 retracted original articles and literature reviews indexed in MEDLINE fulfilled the inclusion criteria. Articles were required to have been published in a journal indexed in MEDLINE from January 2013 through December 2015 and been retracted between January 2014 and December 2016. The main outcome was the number of citations received before and after retraction. Results were broken down by journal quartile according to impact factor and the most cited papers during the preretraction period were specifically analysed.

• Results  There was an increase in postretraction citations when compared with citations received preretraction. There were some exceptions however: first, citations received by articles published in first-quartile journals decreased immediately after retraction (p<0.05), only to increase again after some time had elapsed; and second, postretraction citations decreased significantly in the case of articles that had received many citations before their retraction (p<0.05).

• Conclusions  The results indicate that retraction of articles has no association on citations in the long term, since the retracted articles continue to be cited, thus circumventing their retraction.

Interesting, but not amusing.

https://www.citriniresearch.com/p/2028gic

THE 2028 GLOBAL INTELLIGENCE CRISIS

A Thought Exercise in Financial History, from the Future

What if our AI bullishness continues to be right...and what if that’s actually bearish?

What follows is a scenario, not a prediction.  This isn’t bear porn or AI doomer fan-fiction. T he sole intent of this piece is modeling a scenario that’s been relatively underexplored. Our friend Alap Shah posed the question, and together we brainstormed the answer. We wrote this part, and he’s written two others you can find here.

Hopefully, reading this leaves you more prepared for potential left tail risks as AI makes the economy increasingly weird.

Privacy tools…

https://pogowasright.org/resource-privacy-law-directory-codamail/

Resource: Privacy Law Directory — Codamail

Regular readers may recall that this site recently noted The Data Broker Directory: Who has your data, where they got it, and who they sell it to by Codamail’s Stephen K. Gielda of Packetderm.

Instead of taking a well-deserved break after all the work he did to compile that resource, Steve went down the rabbit hole and compiled yet more helpful information. Codamail has now released a Privacy Law Directory. From its explanation:

This directory covers 21 country jurisdictions across the United States, the European Union, and international partners as of February 2026. Each page examines not just data protection legislation but also surveillance laws, intelligence agencies, data broker contracts, Internet exchange point taps, sureveillance company contracts, mutual legal assistance treaties (MLATs), data sharing agreements, data retention laws, encryption laws, child protection laws, oversight boards, and enforcement actions, because understanding privacy requires understanding the full picture.

The directory is organized around the intelligence alliance framework that shapes modern signals intelligence cooperation: the Five Eyes (the core anglophone alliance), the Nine Eyes (adding four European partners), and the Fourteen Eyes (SIGINT Seniors Europe). These alliances determine how intercepted communications and personal data flow between governments, making them directly relevant to any assessment of a jurisdiction’s privacy posture.

A recurring finding across every jurisdiction in this directory is that privacy laws primarily protect a country’s own citizens and residents. Nearly every nation examined here maintains legal exemptions that permit its intelligence agencies to collect, intercept, and retain foreign communications with fewer restrictions than apply to domestic targets. These foreign traffic exemptions, combined with intelligence-sharing alliances that allow partner nations to collect on each other’s populations and share the results back, create a global system in which domestic privacy protections can be structurally bypassed.

Beyond government surveillance, commercial data collection operates largely outside the scope of these laws. Data brokers aggregate personal information from public records, commercial transactions, app SDKs, advertising exchanges, and social media into profiles that can be purchased by governments, private investigators, and corporations without the judicial oversight required for law enforcement surveillance. Internet exchange points are monitored in multiple choke points (places most traffic passes through). Commercial surveillance contractors sell endpoint exploitation tools, spyware, and analytics platforms directly to government agencies. The result is that the privacy protections documented in this directory, while significant, represent only one layer of a more complex reality.

For detailed coverage of these mechanisms, see the Data Broker Directory (over 1700 across 17 categories) and The Myth of Jurisdictional Privacy.

Go explore and bookmark the Privacy Law Directory now.

With great thanks to Steve and Codamail for taking our privacy so seriously.

The Lone Ranger will be unmasked?

https://pogowasright.org/federal-judge-masked-ice-agents-violate-fourth-amendment/

Federal judge: Masked ICE agents violate Fourth Amendment

Chris Dickerson reports:

A federal judge has ruled Immigration and Customs Enforcement’s practice of conducting arrests with masked, unidentifiable agents violates the Fourth Amendment’s prohibition on unreasonable seizures.

In a February 19 opinion, U.S. District Judge Joseph E. Goodwin ordered the immediate release of petitioner Anderson Jesus Urquilla-Ramos, who was “arrested abruptly and without warning by a group of masked men purporting to be” ICE officers.

“Antiseptic judicial rhetoric cannot do justice to what is happening,” Goodwin wrote to begin his 34-page ruling. “Across the interior of the United States, agents of the federal government — masked, anonymous, armed with military weapons, operating from unmarked vehicles, acting without warrants of any kind — are seizing persons for civil immigration violations and imprisoning them without any semblance of due process.

Read more at Legal Newsline.

Related posts:

• ICE Taps into School Security Cameras to Aid Trump’s Immigration Crackdown

Is it too late for the US to follow suit?

https://www.theregister.com/2026/02/19/poland_china_car_ban/

Poland bans camera-packing cars made in China from military bases

Poland’s Ministry of Defence has banned Chinese cars – and any others include tech to record position, images, or sound – from entering protected military facilities.

A Tuesday announcement from the country’s Ministry of Defence says the decision came after risk analysis of the potential for the many gadgets built into modern cars to allow “uncontrolled acquisition and use of data.”

The ban also prohibits officials connecting their work phones to infotainment systems in China-made cars.

For your amusement?

https://www.bespacific.com/epsteinalysis-com/

Epsteinalysis.com

Under the moniker – Axiomofinfinity – for which there is no further information that I could locate – a individual or group has posted a remarkable searchable database, Epstein Files Explorer, of over one million documents and over two million pages that comprise the Epstein Files released by the DOJ. Applications used – Programmatic applications – Extracted via spaCy NER and clustered by similarity. = curated key figure. Use “Known Only” to filter.

Features include the following:

• Search – There is a search feature for: Documents, Bates numbers, Entities

• Analyze – Timeline; Event, Network, Events, Meetings

• Images – All Images, Faces

• Videos – All Videos

• Redactions – Inconsistencies, Statistics

A large percentage of the population probably needs AI to explain what the word ‘apology’ means.

https://www.nytimes.com/2026/02/17/world/asia/new-zealand-court-ai-apology.html

In Arson Case, a Judge Wrestles With A.I.-Assisted Apology Letters

A judge in New Zealand who discovered last week that apology letters from a defendant in an arson case had been written with the help of artificial intelligence raised questions about the sincerity of her sentiments.

“The issue of remorse is interesting,” said the judge, Tom Gilbert, of the district court in Christchurch, as he mulled the punishment of a woman who had pleaded guilty to arson and other charges. Remorse can be a mitigating factor in sentencing. Her letters to the victims and the court were nicely written, the judge said. He decided to do some sleuthing.

“Out of curiosity I punched into two A.I. tools ‘draft me a letter for a judge expressing remorse for my offending,’” the judge said, according to a transcript of the sentencing hearing that was shared with The New York Times. “It became immediately apparent that these were two A.I.-generated letters, albeit with tweaks around the edges.”

How to be human.

https://www.bespacific.com/transform-ai-text-into-human-writing/

Transform AI Text Into Human Writing

“Humanize AI text from ChatGPT, Claude and Gemini for free. Make content natural to bypass AI detection and feel truly human. Guaranteed undetectable results.” [Let that sink in.]

• AI Humanizer Eliminates AI Tones for Natural Writing – Directly trim the stiff and repetitive patterns found in machine-generated writing. AI text humanizer converts dry drafts into authentic, natural expressions, adding rhythm and relatability to your work. The refined results flow much better, keeping readers fully engaged in your logic and allowing you to humanize ai so your content gets flagged as bot-written.

• Humanize Text Secures Content for Safe Publishing – Significantly improve the security of your copy across various detection platforms. By restructuring the underlying logic and enhancing expression diversity, our tool helps you bypass ai detectors and avoid sensitive identification by search algorithms. This provides an invisible shield for every submission, protecting your text authority and making your humanize ai free experience simple and worry-free.

• AI Text Humanizer Protects Your Original Intent and Meaning – Maintain your core perspective while restructuring sentence patterns. Humanizer ai accurately identifies and locks in technical terms, factual data, and key arguments, ensuring the rewritten draft is simply more readable without any semantic drift. You get a qualitative leap in flow and tone, allowing you to humanize ai text while keeping your original message perfectly intact…”

I thought Social Security was private. Silly me.

https://pogowasright.org/social-security-workers-are-being-told-to-hand-over-appointment-details-to-ice/

Social Security Workers Are Being Told to Hand Over Appointment Details to ICE

So it’s not only the IRS handing over personal info to ICE.  It’s SSA, too. Zoë Schiffer, Vittoria Elliott, and Leah Feiger report:

Workers at the Social Security Administration have been told to share information about in-person appointments with agents of Immigration and Customs Enforcement, WIRED has learned.

“If ICE comes in and asks if someone has an upcoming appointment, we will let them know the date and time,” an employee with direct knowledge of the directive says. They spoke on the condition of anonymity for fear of retaliation.

While the majority of appointments with SSA take place over the phone, some appointments still happen in person. This applies to people who are deaf or hard of hearing and need a sign language interpreter, or if someone needs to change their direct deposit information. Noncitizens are also required to appear in person to review continued eligibility of benefits.

Read more at WIRED.

It might also be possible to use this technology on writing. Would the New York Times be interested?

https://asia.nikkei.com/business/technology/artificial-intelligence/sony-group-tech-can-identify-original-music-in-ai-generated-songs

Sony Group tech can identify original music in AI-generated songs

Sony Group has developed a technology that can identify the underlying music used in tunes generated by artificial intelligence, making it possible for songwriters to seek compensation from AI developers if their music was used.

Sony Group's technology analyzes which musicians' songs were used in learning and generating music. It can quantify the contribution of each original work, such as "30% of the music used by the Beatles and 10% by Queen," for example.

If the AI developer agrees to cooperate for the analysis, Sony Group will obtain data by connecting to the developer's base model system. When cooperation is not attainable, the technology estimates the original work by comparing AI-generated music with existing music.

Improving intrusion… (Would this technique work on some redacted files?)

https://pogowasright.org/increasingly-hipaa-cant-stop-ai-from-de-anonymizing-patient-data/

Increasingly, HIPAA Can’t Stop AI from De-Anonymizing Patient Data

Martin Anderson reports:

Even after hospitals strip out names and zip codes, modern AI can sometime still work out who patients are. Great news for insurance companies; not so much for healthcare recipients.

New research from New York University finds that US patients’ medical notes, stripped of names and other HIPAA identifiers, can expose patients to re-identification. By training AI language models on a large corpus of real world, uncensored patient records, identity-defining details remain – in some cases allowing a patient’s neighborhood to be inferred from diagnosis alone.

The new study places this risk in the context of a lucrative market in de-identified health data, where hospitals and data brokers routinely sell or license scrubbed clinical notes to pharmaceutical firms, insurers, and AI developers.

The authors of the new study challenge even the very concept of ‘de-identification’, enshrined in the patient protections established by HIPAA after Massachusetts Governor William Weld has his medical data de-anonymized in 1997….

Read more about the research findings at unite.ai.