Timeline
Every post and feed across this instance
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Always loved that show… So many great memories that over the years I have seen s...
Always loved that show… So many great memories that over the years I have seen some parts over and over 😊
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Getting Started with OpenWebUI Pipelines
Interesting stuff I want to read later
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Larena & Elyse Wynn - Montana Mormons, Sex at BYU, and the “Miracle" of Forgiveness
This week is part 1 with musicians, identical twins, and former Mormons turned dominatrixes Larena and Elyse Wynn, also known by their band name Mothermary. The girls share what it was like being raised in the LDS church, and how “Montana Mormons” may have had a more fear-based culture than Mormons in other parts of the country. They’ll talk about going to BYU Idaho, and how after having sex with her boyfriend—one of the worst sins you could commit in the church—Larena was told by her bishop that she needed to marry her boyfriend in order to not get kicked out of college.
Elyse describes having a similar experience in high school, and how both were told by their bishop to read a book called The Miracle of Forgiveness in order to repent, which basically told them that all the things that make you human are wrong. Elyse explains how she became obsessed with not sinning, why it made her so depressed she couldn’t eat, and how she realized she needed to get out of there.
In part two next week, Larena tells the story of how she got out of her marriage, and how they both came to work as dominatrixes.
See omnystudio.com/listener for privacy information.
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Risky Business #852 -- Cyber Command wants to buy shells
On this week’s show Patrick Gray and James Wilson are joined by guest co-host Robby Winchester from SpecterOps to talk through the week’s news, including:
- ID verification company IDScan was breached and 153m driver licenses wound up for sale online. Cue the barrage of lawsuits
- The US government plans to pay private contractors to conduct military hacks
- The US accuses China of distillation attacks, a.k.a. forbidden training
- It’s Wednesday, so OpenAI’s agents escaped sandboxes again and passed notes around on a German Wiki
- Much, much more…
This week’s show is brought to you by Sublime Security. Sublime’s head of detection engineering Randy Pargman joins the show to chat about how the company is preparing for prompt injection attacks to move from being largely theoretical to commonplace.
This episode is also available on YouTube
Show notes
- FBI Probes Service Selling 153M+ Drivers Licenses | Krebs on Security
- IDScan sued over alleged data breach affecting 153 million drivers | BleepingComputer
- Senate Considers Allowing Contractors to Conduct Military Hacks | bloomberg.com
- Feds accuse China of ‘systematic’ distillation of U.S. AI models | cyberscoop.com
- Dropbox accounts breached through Lenovo email verification flaw | BleepingComputer
- FBI raises alarm over deceptive phishing campaign targeting prominent people | cyberscoop.com
- Microsoft warns of TerminalFix attacks deploying reverse tunnels | BleepingComputer
- OpenAI agents discussed ways to escape their sandbox on public wiki | arstechnica.com
- OpenAI releases new model that it says triggered internal security measures | NBC News Tech
- Trump may be forced to reveal secret rules feds use for AI safety testing | Social Signals
- Microsoft posts nearly 1,000 bugs for Patch Tuesday as CISA warns two being exploited | therecord.media
- Security Incident – BGP Hijacking – Virtualizor |
- Coder's registry infrastructure compromised to push malicious modules | BleepingComputer
- Pegasus, NoviSpy variant spyware found on devices of Serbian activists | cyberscoop.com
- European parliament members call for slowdown of Serbia’s EU entry over spyware use | CyberScoop
- New pro-Ukraine hacker group targets Russian companies with custom ransomware | therecord.media
- US military disabled ad tracking on troops’ devices following reports of targeted attacks | TechCrunch Security
- New CrowdStrike 'FalconFlank' zero-day grants SYSTEM privileges | BleepingComputer
- A hacker stole $340M in a crypto heist, then returned most of it | TechCrunch Security
- ‘White hat’ hackers take $47 million bounty after $320 million crypto theft | therecord.media
dts.podtrac.com -
Doc and I might not be the same age - but we lived in the same world.
Personally of the view that the story that he writes about is symptomatic of why we have problems as a society.
Agree? Wondering what I am talking about?
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The Revolutionary Roots That Inspired Tupac Shakur
More To The Story: Last month, Duane “Keffe D” Davis was found guilty of first-degree murder in the death of rapper Tupac Shakur. The verdict came 30 years after Tupac was killed in a drive-by shooting in Las Vegas that for decades remained cloaked in conspiracy theory and mystery. It’s impossible to overstate rapper Tupac’s influence on music and culture in the 1990s. One of the era’s bestselling musical artists, he helped define West Coast hip-hop through vulnerable, introspective lyrics and Black power politics. By his own admission, sports writer Jeff Pearlman is not the rapper’s likeliest biographer. But as he waited for what he called “the big, fat biography” of Tupac, his impatience and long-standing fascination with the rapper got the best of him. So he set out to write it himself. On this week’s episode, Pearlman talks about his book Only God Can Judge Me: The Many Lives of Tupac Shakur; discusses how Tupac’s Black Panther mother, Afeni Shakur, shaped her son; and examines the nuance and mystery that surrounded Tupac’s life and death for decades.
This episode first aired in June 2026.
Producer: Josh Sanburn | Editor: Kara McGuirk-Allison | Theme music: Fernando Arruda and Jim Briggs | Copy editor: Nikki Frick | Digital producer: Artis Curiskis | Intern: Joni Binder | Deputy executive producer: Taki Telonidis | Executive producer: Brett Myers | Executive editor: James West | Host: Al LetsonRead: The 24 Best Books We Read in 2025 (Mother Jones)
Listen: Baltimore Mayor to Trump: Don’t Send Your Troops (More To The Story)
Read: Only God Can Judge Me: The Many Lives of Tupac Shakur (Mariner Books)
Note: If you buy a book using our Bookshop link, a small share of the proceeds supports our journalism.
- Donate today at Revealnews.org/more
- Subscribe to our weekly newsletter at Revealnews.org/weekly
- Follow us on Instagram and Bluesky
dts.podtrac.com -
Reporting Indicates RFK Jr. Directly Intervened To Keep PA Deaths Off CDC Measles Report
The measles outbreak, that began in America nearly two years ago, has only increased in velocity. We recently talked about the deaths of two children in Pennsylvania who both died while infected with measles. I’m altering my language slightly here from that original post in which I described those children as having died of measles […] -
I know I’m really late to this show, but because of the new spinoff we’ve been watching The Big Bang Theory for the first time. A few seasons in. 📺
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Got this spam text today, just in case there was any question that data centers are going to be a big issue in November:
Manton, if you live at [my address], Republicans have supported a Data Center within 15 miles of you.
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The AI warnings are coming from inside the lab
Frontier labs make for lousy messengers on AI safety — but it would be foolish to ignore them -
Some thoughts on the Navier–Stokes Millennium Prize Problem
On the Navier–Stokes Millennium Prize Problem introduces an impressive result from OpenAI, who used an unreleased model to produce a resolution to the Navier–Stokes existence and smoothness problem, one of the seven Millennium Prize Problems that have been subject to a $1,000,000 prize since May 24th, 2000.
The discovery is somewhat overshadowed by accusations of skulduggery from Tristan Buckmaster, an NYU mathematics professor who was collaborating on related problems with Levent Alpöge, an accomplished mathematician who currently works for Anthropic.
Tristan's complaint accompanied a hastily published version of their own results. Here's the PDF describing what happened. The very short version is that Tristan and Levent worked on the problem for almost a year, making extensive use of Claude and Codex (mainly GPT-5.6 Sol), then had a breakthrough on August 15th. The mathematical rumour mill kicked into gear and Tristan and Levent heard that OpenAI had heard that Anthropic had resolved "a major open problem", so they reached out and learned that OpenAI had a team working on a related problem, with a similar approach. Quoting Tristan:
I asked when the first prompt had been sent by them. This question was not answered directly by OpenAI for some time. Eventually it was agreed that it had been sent in the past few days, after information about our work had reached OpenAI.
I asked whether the model had been trained on, or had access to, our sessions in Codex, into which we had been putting all our drafts for the whole of this project. I was told the model did not look up user data. I asked again, about training, and I did not get an answer.
It gets more complicated from there. The OpenAI team offered to wait for Tristan to publish, or to have him author a paper about their result, but were clear that Levent would not be invited as a co-author due to OpenAI's competitive relationship with his employer.
Here's how OpenAI described their work:
On Tuesday, September 1, we heard rumors that two Millennium Prize problems had been resolved. Inspired by these rumors and by the step change in performance of our internal model, we launched an effort to evaluate it on all open Millennium Prize problems and a few other high-impact problems. [...]
The agents arrived at their resolution on Saturday, September 5, about 88 hours after the first agents were launched. Lean formalization and verification took an additional 17 hours via GPT‑6 Astra.
Across all attempted problems, the agents sent 4.9 million messages and used about 300 billion output tokens. In the process of resolving the Navier–Stokes problem, the agents sent 2.7 million messages and used approximately 130 billion output tokens.
(We don't know the cost structure of the internal model they used, but 300 billion output tokens at public API prices for GPT-6 Astra would cost $15,000,000.)
Here's where they provide their perspective on Tristan and Levent's work (emphasis mine):
Our effort began on September 1st after hearing a rumor which we later realized was related to Levent Alpöge, an Anthropic employee, and Tristan Buckmaster, a math professor at NYU. After the completion of our full project and Lean verification (on September 6th), believing from the rumor they also had a solution of Navier–Stokes, we reached out to them to offer a concurrent release of our result and to recognize their priority in a joint announcement. [...]
We (the researchers and the agents) did not see any of their work through any means until they released it publicly — in particular, no specific user data was accessed in order to solve this problem. While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models. However, our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs unforced).
My interpretation of what happened here is that OpenAI heard that some Millennium Prize problems had been solved using LLMs and saw this as an opportunity to demonstrate the power of their latest model, without thinking too hard about the optics of scooping a team who had been using OpenAI's own models to work on this problem for the best part of a year.
This situation appears to mirror what's happening in the world of computer security right now. Anil Madhavapeddy recently pointed out that Just a rumour of a bug is enough to find a security exploit these days, because if someone knows that some software has an unpatched vulnerability, they can set their agents the task of finding it. Is the same now true of mathematics? Just knowing that there is an unpublished solution to a problem might trigger millions of dollars in LLM spending to get there first.
This also highlights one of my ongoing frustrations about how all of this works. When an AI lab says that my data is "used to improve model performance", what does that actually mean?
My two favourite hypothetical questions regarding this used to be:
- If I'm running Codex and one of my API keys accidentally gets consumed in the context, what are the chances that someone else might ask for an API key in the future and get mine back? (I asked someone at OpenAI once and they called this the "regurgitation" problem and assured me that they take great pains to prevent that... but wouldn't describe how.)
- If I brainstorm with ChatGPT about potential new directions for my company, what's the chance that information might be exposed to a competitor in six months' time who asks "what might company X plan to do next"?
My new preferred hypothetical for this is:
- If I use ChatGPT to help me partially solve a Millennium Prize problem, what are the chances that my work will influence training such that a later model helps someone else solve it first?
Via Hacker News.
You are only seeing the long-form articles from my blog. Subscribe to /atom/everything/ to get all of my posts, or take a look at my other subscription options.
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Some Tech Companies Have Privately Pushed Back On ICE Subpoenas. They Should All Do More.
In a handful of known cases, large social media companies have privately pushed back against Immigration and Customs Enforcement (ICE) subpoenas when the agency tried to unmask anonymous users who tracked immigration activities or criticized the government. As ICE engages in a pattern of illegal and chilling investigations, any resistance is welcome. But social media companies can do […] -
Truth in Humour ..
🔗😂 Daring Fireball: The Onion’s Exclusive Interview With Larry Ellison
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Feels like the AI world is balancing on a knife's edge. On one side, the worst of big tech's social media addiction machine and an even greater concentration of power. On the other side, the democratization of intelligence and an abundance that lifts all of society. Either outcome seems possible.
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👁️ 8 Emmys for Widows Bay and I couldn’t even finish the series. Somebody is wrong. No finger pointing now.
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Cool Cool Cool: Hegseth’s DoD Is Running A Secret Network Of Online Influencers
It would be nice to go a day or two (or three-day weekend!) without being apprised of some new awfulness from this administration. Since that’s not going to happen, let’s check in with the latest shitshow! And here it is: the Pentagon has “enlisted” some X.com influencers to thrust and parry on behalf of the […] -
Rss feed for Linkedin job postings search
Hi! I need recommendations on Rss Feeders that work with LinkedIn Job Search tool. I've tried RSS.app, but when I paste the search url, I get an error message.
submitted by /u/Diligent_Visit_3807
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Saw this, loved it and thought of @artkavanagh
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OpenAI announced a solution to the Navier-Stokes problem, which I had never heard of because I'm not a mathematician, but which is apparently a very big deal:
The question of whether smooth three-dimensional fluid motion can break down has remained unresolved for roughly 90 years.
There is some controversy over whether two human researchers (one at Anthropic) working on similar problems might've accidentally influenced the OpenAI model. It doesn't sound like that's true, but it does feel a little unfair regardless, where credit likely means so much to people.
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Channel 5 Gave Hunter Biden a List of Its Subscribers’ Emails for Some Reason
A data protection lawyer told 404 Media the sharing was likely illegal, and Channel 5’s own privacy policy explicitly says it won't give subscribers’ emails away to people for marketing purposes. -
Il a bien grandi mon p’tit caoutchouc, d’ailleurs je me demande, ça tiens l’hive...
Il a bien grandi mon p’tit caoutchouc, d’ailleurs je me demande, ça tiens l’hiver dehors?
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The DOJ’s AI Fair Use Brief Is Correct, But From A DOJ That Has No Credibility
I am never asking the monkey’s paw for a federal government that defends fair use again. For decades on Techdirt, I’ve talked about the absolute necessity of strong fair use, and have been disappointed over and over again at how little the federal government has fought for fair use. For decades, the rare times when […] -
Daily Deal: The 2026 Data Engineering Bundle featuring Databricks
The 2026 Data Engineering Bundle has 7 online courses designed to help learners build skills that align directly with industry expectations. The focus is on practical tools and languages used by data professionals: Python for programming, Pandas and NumPy for data manipulation, foundational certification prep and specialized work with Databricks, an industry-standard platform for data engineering […] -
Did a little Redis housekeeping, cleaning out orphaned records that were sitting around wasting memory. Down to 23 GB of RAM on a 48 GB machine. Still probably too much.
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Oh... On a plus qu'un seul avion pour le Roi et les Ministres, mais quel pays de dingue tsé!
Lire ça en 2026 et se dire que de fait Jancovici a radicalement totalement raison… On est pas prêt du tout !
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ICE’s Vetting Standards Are So Low It Can’t Even Be Bothered To Verify The Identities Of New Hires
A whistleblower report delivered to the DHS Office of the Inspector General makes it clear ICE is willing to hire pretty much anyone who applies for the job. Keeping up appearances (and by “appearances,” I mean constantly pushing for 1,500-3,000 arrests per day) is tough when you don’t have the warm bodies to do all […] -
I had a nap yesterday and a late Dr. Pepper, so my sleep was all off. Caffeine really affects me late in the day. Woke up at 2am worried about all sorts of business and social things I can't control.
Let it go. 🎶
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Might be about time to get a Switch 2... Ocarina of Time remake looks good. 🕹️
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Looks like Nitter is coming back.
Good for them telling X and their lawyers to go F themselves.
https://nitter.net/X-cancel is already back up
https://xcancel.com/search?f=top&q=elonThis is good news.
submitted by /u/OkDevelopment4438
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Ben Thompson in today's Stratechery blog post:
AGI is AI that learns continuously. That’s not the case with current large language models.
I agree with Ben's definition of AGI, but LLM memory is so good now, it's almost indistinguishable from learning. My
~/.codex/memoriesfolder is 7 MB, which doesn't sound like much, but it's only small Markdown files. It's incredible how much it knows. That doesn't even count ChatGPT's dreaming memory system and computer history. -
How am I just now hearing this interview with Jensen Huang? "You're not talking to someone who woke up a loser." 🤣
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I built a read-it-later tool that uses DOM parsing instead of AI for article extraction - how do you handle full-text RSS parsing without hallucinations?
Hey r/rss folks,
I've been working on a Pocket replacement (Pocket shutting down pushed me).
Most new tools use LLMs to extract article text, but I found they rewrite/mangle the source and add latency + cost.
So I went old-school:
- paragraph density scoring
- <article> / <main> tag tree analysis
- text-to-link ratio filtering
It's deterministic, offline-first, and keeps original text verbatim. No AI.
It is live at https://fetchmarkapp.com and I wrote up the parsing logic on blog.fetchmarkapp.com
Question for this community:
How are you handling full-text extraction for RSS feeds? Are you using Mozilla's Readability.js, custom heuristics, or something else? I'm trying to improve handling for heavy JS sites.
Would love to compare notes.
submitted by /u/Low-Actuary8926
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A Secretive DHS ‘Predictive Policing’ Unit is Analyzing Americans’ Financial Habits and Pulling Them Over
404 Media is revealing the name of Border Patrol's predictive policing units, which analyze financial data and have local cops pull people over. The people are not suspected of any particular crime. -
Paramount Caught Using ‘Astroturf’ Group To Drum Up Fake Support For Merger
We’ve well established how the $111 billion Paramount and Warner Brothers merger is terrible for labor, creatives, consumers, and markets. But the kind of behaviors Paramount leadership have been engaged in to sell the deal also give a pretty clear indication what kind of company we’re dealing with, and why they shouldn’t be allowed to […] -
Scott Hanson is working on a WordPress plugin that displays a FeedLand river — a constantly-updated stream of news items from feeds a FeedLand user subscribes to — on a WordPress page or post. It's important that news flows be part of managing a site. Help Scott make it perfect, WordPress is a very important part of the web. The news tab on my blog home page is an example. -
J'aime bien le terme "peut-être" dans leur titre.
Peut-être… Qu’on est débile surtout oui!
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The Lessons of 9/11 & the Global War on Terror (w/ Peter Bergen, who Interviewed Bin Laden)
In 1997, Peter Bergen found himself in the mountains of Afghanistan, face-to-face with al-Qaeda founder Osama bin Laden. During the ensuing landmark interview, bin Laden foreshadowed the terrorist attacks of September 11. In Part One of our two-part series commemorating the 25th anniversary of 9/11, journalist and author Peter Bergen sits down with former head of MI6 Sir Richard Dearlove and co-host John Raine to discuss the legacy of the 9/11 attacks, including the wars in Afghanistan and Iraq. Bergen talks about why negotiating with Osama bin Laden would have been a nonstarter and why the attacks bin Laden orchestrated generated shock, not surprise, within government intelligence agencies. Bergen and the hosts also discuss decisions after the attacks that Dearlove witnessesed firsthand, the proper relationship between intelligence and policy, how the war on terror reshaped the US view of coalitions and allies, and how the conflict in Ukraine points to the future of warfare. In this episode: (00:00) Lessons of Afghanistan and Iraq Wars (03:23) Would Negotiating with Osama bin Laden Have Worked? (06:21) Feeling in US Immediately Post-9/11 (11:29) Origins of Iraq War (15:55) Policy and Intelligence (17:08) Imperial Power of the Presidency (21:16) Why Were There No Major Attacks After 9/11? (25:13) Role of Coalitions and Allies (34:31) Legacy of Fighting Global War on Terror (41:10) Importance of Tribalism (46:54) Scale of Troop Presence and Outcome (50:41) Ukraine as Laboratory for Modern Warfare (54:38) One Decision: Why Trump Should Declare Victory in Iran (56:41) Takeaways and Wrap Up Hosted by Sir Richard Dearlove (former MI6 Chief) and guest co-host John Raine (International Institute for Strategic Studies) Learn more about your ad choices. Visit megaphone.fm/adchoicespdrl.fm -
RSS has a business problem, not a technical one
"I think the logical model is a reselling portal. It negotiates contracts with publishers and obtains full feeds."
https://twowavesandadot.blog/rss-has-a-business-problem-not-a-technical-one.html
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The Cult of Incels
We’re taking a little holiday break this week, but unfortunately, incels are not. With the “male loneliness epidemic” becoming a bigger part of the cultural conversation, we’re revisiting one of the internet’s darkest and most tragically cringey cults: self proclaimed “involuntary celibates,” who believe they’ve been cursed by the universe (read: women) to live a life without love, sex, or accountability. Amanda and Reese are joined by cult comedy kings Henry Zebrowski (@drfantasty) and Ed Larson (@eddietunes) of Last Podcast on the Left (@lpontheleft) to trace how a chronically online subculture became a full-blown belief system with its own doomer mythology, and a whole lot of weaponized loneliness. Enjoy this trip back into the manosphere, culties. We’ll be back next week with a brand-new cult lurking somewhere much greener, muddier, and suspiciously swamp shaped. Subscribe to Sounds Like A Cult on Youtube!Follow us on IG @soundslikeacultpod, @amanda_montell, @reesaronii, @chelseaxcharles, @imanharirikia. Pre-order Iman's new book, Once in a Timeline, here! Your pre-order helps make more books possible! Sounds Like A Cult is coming to you LIVE from The Elysian in LA on October 15th! Get tickets at soundslikeacult.com! Thank you to our sponsors! If your glasses are overdue for a refresh, now is the time. Use code PODCAST15 for fifteen percent off your first order Find the card that fits your lifestyle and apply today at https://joinbilt.com/cult Download Whatnot today and get $20 off your first purchase Learn more about your ad choices. Visit podcastchoices.com/adchoicespdst.fm -
Idea: AI agents could lead to RSS renaissance?
Just a thought I had this afternoon: with publishers and websites rapidly loosing the traffic that search engines once brought to their pages, and end users turning more and more to AI for answers and news, is it possible RSS will see a big comeback?
I think a lot of publishers removed support for feeds thinking it was a freeloading that took visitors away from their home pages that otherwise would have been visited by bookmark in the browser directly or via Google searches. But now fewer people are searching on Google and if they do, they get AI answers anyway and never click through. So the appeal of SEO wil likely be reduced over time.
RSS, and possibly e-mail newsletters, might be the only way publishers can get their content seen in a more direct way that might encourage click-through. I doubt many users are clicking through when AI cites them as a reference.
Might also be the case that some content would want to optimize for AI scraping just because that might soon be the only way content is consumed. They may want a programatic way to at least get their pages "read" by AI scrapers and RSS or some similar type of distribution could be something they come up with for agents to have a pipeline without the overhead issues of direct scraping.
Just spitting here. Any thoughts about this? Open to being pointed out for being wrong too.
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Il m’a fallu 10 ans pour faire ça
Ça faisait dix ans que je ne m’étais jamais vraiment autorisée à couper. Cet été, j’ai tout supprimé pendant 15 jours. Et je crois que je ne m’attendais pas du tout à ce que ça me fasse cet effet-là !Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
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'The Creator Economy' is over and 'The Affinity Economy' is here.
I don't live in the ‘xyz economy’ worlds - 🖇️ far too many to keep track of. BUT for a while now I have been talking and writing about the global movement from ‘Systems of Record’ to ‘Systems of Engagement’ - and the need for people and businesses to not throw away all of their systems and ‘drop in a new stack’ - but rather to start to think differently about what they already have and how to use that to ‘engage for the future’ and not ‘broadcast history’.
On that we seem to be aligned.
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👁️ Really hoping that Markdown plus Marked finally kills MS Word - but not holding my breath.
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Teaser trailer for You Can See Everything from Nathan...
Teaser trailer for You Can See Everything from Nathan Fielder & Lance Oppenheim. “Thirty-four days before she’s sent to prison, notorious Silicon Valley founder Elizabeth Holmes invites a skeptical film crew to document her every move.” WHAT WAS THAT?
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➡️ 💬 I ♥ RSS is a very cool little service.
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Over at 🔗 eg Innovations .. they have been thinking about ‘team alignment’ .. this short analysis tool is an interesting gateway to getting to answers as well as getting a better understanding of your own environment.
One person's answers give you a data point. Ask your infrastructure, operations, application, service delivery and workplace teams to complete it independently, and you may find everyone has a different view of how well your monitoring actually performs. That gap between answers is the insight.
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💬 If you manage to do this … it won’t be ‘content’.
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2026-09-07 20:39: Do you know what the hardest thing to do on earth is? Quantum physics? No....
Do you know what the hardest thing to do on earth is?
Quantum physics? No.
Solving world hunger? Nope.
Getting Trump impeached? Nah.It's climbing the stairs on leg day! 🦵🏼
Thanks for reading this post via RSS. RSS is ace, and so are you. ❤️
You can reply to this post by email, or leave a comment.
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This could be really good. Trailer for a new documentary from Nathan Fielder and Lance Oppenheim about Elizabeth Holmes: You Can See Everything. Amazing cut to the wider shot at the end.