Trump says his name may have been planted in Jeffrey Epstein files
Posted on r/politics |
Score: 35722 |
Comments: 2820
Donald Trump suggested that his name might have been planted in the Jeffrey Epstein files by former Attorney General Merrick Garland or former FBI director James Comey, calling the entire situation a 'hoax.' He also reiterated his ability to pardon Ghislaine Maxwell but stated he hasn't been approached about it.
Key Points:
Trump claimed his name may have been planted in the Epstein files by Garland or Comey.
He dismissed the Epstein files as a 'hoax' and criticized those who managed them.
Trump referenced the discredited Steele dossier as an example of fake information being inserted into files.
He mentioned the possibility of pardoning Ghislaine Maxwell but said no one has approached him about it.
Trump has faced pressure to release government files on Epstein, which supporters believe could reveal a cover-up.
""The whole thing is a hoax. They ran the files. I was running against somebody that ran the files. If they had something they would have released.""
Trump Losing It as Epstein Scandal Fractures His MAGA Base | Those close to the president say he is enraged that the story has continued for this long.
Posted on r/politics |
Score: 9789 |
Comments: 437
The article discusses how the Epstein scandal is causing internal strife within Trump's MAGA base and his administration. Trump is reportedly furious that the scandal continues to dominate headlines despite his efforts to divert attention. The situation has led to tensions between the Justice Department and the FBI, with some questioning the sustainability of the current dynamics.
Key Points:
Trump is privately enraged as the Epstein scandal continues to fracture his MAGA base.
The administration's handling of the Epstein files has led to internal tensions between the DOJ and FBI.
Trump's attempts to divert attention, such as releasing MLK files and making unsubstantiated accusations, have failed.
The House is expected to subpoena Epstein files and Ghislaine Maxwell for testimony.
The situation is described as self-inflicted, with the administration miscalculating the public's reaction.
""They completely miscalculated the fever pitch to which they built this up," former Reagan Justice Department official Stephen A. Saltzburg told the Post. "Now, they seem to be in full-bore panic mode, trying to change the subject and flailing in an effort to make sense of what makes no sense.""
Donald Trump Says He 'Never Had the Privilege' to Go to Epstein's Island
Posted on r/politics |
Score: 5845 |
Comments: 334
Donald Trump denied ever visiting Jeffrey Epstein's private island, Little Saint James, claiming he turned down an invitation. Trump also addressed his past friendship with Epstein, stating he ended it due to Epstein's inappropriate behavior. The article highlights ongoing scrutiny of Trump's administration regarding Epstein's sex trafficking case.
Key Points:
Trump denied visiting Epstein's island, stating he turned down an invitation.
Trump claimed he ended his friendship with Epstein due to Epstein's inappropriate actions.
The article mentions increased pressure on Trump's administration for transparency in Epstein's case.
Ghislaine Maxwell reportedly provided the DOJ with names of people connected to Epstein.
Trump's comments come amid reports of his administration's handling of Epstein-related evidence.
""I never had the privilege of going to his island, and I did turn it down, but a lot of people in Palm Beach were invited to his island," Trump, 79, said. "In one of my very good moments, I turned it down, I didn't want to go to his island.""
Making Postgres 42,000x slower because I am unemployed
Posted on r/programming |
Score: 1557 |
Comments: 76
The article humorously explores how to intentionally slow down PostgreSQL by tweaking configuration parameters, contrasting the usual goal of optimizing for speed. The author, unemployed and with time to experiment, adjusts settings like shared_buffers and autovacuum to drastically reduce performance, achieving a 42,000x slowdown.
Key Points:
The author aims to make PostgreSQL as slow as possible by modifying postgresql.conf parameters, not by trivial methods like CPU throttling.
Reducing shared_buffers from 10GB to 2MB significantly slows down queries by forcing more disk reads.
Autovacuum settings are tweaked to run excessively, adding computational overhead.
The experiment uses TPC-C benchmarks to measure the impact of these changes.
The article highlights PostgreSQL's resilience, as even extreme configurations still allow some transactions to complete.
"Everyone is always wondering how to make Postgres faster, more efficient, etc, but nobody ever thinks about how to make Postgres slower. Now, of course, most of those people are being paid to focus on speed, but I am not (although, if you wanted to change that, let me know)."
Updating rate limits for Claude subscription customers
Posted on r/ClaudeAI |
Score: 283 |
Comments: 497
Anthropic is introducing weekly rate limits for Claude subscribers in late August, affecting fewer than 5% of users, to ensure equitable access and prevent misuse. The company acknowledges advanced use cases and plans future solutions, while also addressing recent reliability issues.
Key Points:
Weekly rate limits will be introduced for Claude subscribers, impacting less than 5% of users.
The change aims to prevent excessive resource consumption, account sharing, and reselling access.
Advanced users with high usage can purchase additional capacity at standard API rates.
Anthropic is working on solutions for long-running use cases and addressing reliability issues.
"One user consumed tens of thousands in model usage on a $200 plan. Though we're developing solutions for these advanced use cases, our new rate limits will ensure a more equitable experience for all users while also preventing policy violations like account sharing and reselling access."
What’s an underrated self-hosted tool you couldn’t live without?
Posted on r/selfhosted |
Score: 258 |
Comments: 221
The article discusses underrated self-hosted tools that are often overlooked in favor of more popular options like Nextcloud or Jellyfin. The author seeks recommendations for lightweight, Docker-friendly tools that are not media-focused and have been game-changers for users.
Key Points:
Focus on lesser-known, underrated self-hosted tools
Preference for lightweight and Docker-friendly options
Interest in tools beyond media applications
Community-driven recommendations for hidden gems
Emphasis on practicality over popularity
"Curious what gems the rest of you are running that don’t get as much love as the big projects. (Or more love for big projects -i dont descriminate if it works 😅) Bonus points if it’s lightweight, Docker-friendly, and not just another media app."
The Untold Revolution Beneath iOS 26. WebGPU Is Coming Everywhere
Posted on r/programming |
Score: 196 |
Comments: 62
The article highlights the introduction of WebGPU support in iOS 26, a significant but underreported development that enables GPU-accelerated video, AI processing, and 3D rendering directly in browsers on iPhones and iPads. This marks a major shift, allowing web applications to achieve near-native performance and unlocking new possibilities for developers and users.
Key Points:
iOS 26 introduces full WebGPU support, enabling GPU-accelerated video, AI processing, and 3D rendering in browsers on mobile devices.
WebGPU is a next-generation graphics API that provides low-level access to modern GPU features, surpassing the capabilities of WebGL.
This development bridges the gap between web apps and native performance, allowing complex computations and advanced rendering tasks in browsers.
Previously, iOS and iPadOS lacked WebGPU support, limiting cross-platform web apps, but iOS 26 unifies GPU acceleration across Apple devices.
The change empowers developers to create sophisticated applications without relying on plugins or native apps, democratizing advanced graphics and AI capabilities.
"This opens up countless possibilities for developers and users. To fully grasp why this is a game-changer, we first need to examine how video works and how it has been traditionally processed."
Posted on r/selfhosted |
Score: 137 |
Comments: 10
The author expresses jealousy over others receiving free items but finally gets their turn when their father-in-law, a general contractor, offers them discarded office equipment. They receive several high-capacity hard drives, thin clients, UPS devices, and other tech accessories, which they plan to test for usability.
Key Points:
The author's father-in-law, a general contractor, provided access to free office equipment being discarded during a corporate move.
The haul included six 12 TB Seagate IronWolf drives, PCoIP thin clients, UPS devices, and other tech accessories.
The author plans to check the received items for usability.
The article highlights the unexpected benefits of personal connections in acquiring valuable tech items.
"He just dropped off 6 12 TB seagate ironwolf drives, a box of 10 PCoIP devices (thin clients), a couple of UPS's, an apple keyboard adn mouse, and some random sticks of ram."
Turn your team into pixel people – self-host your own virtual office with WorkAdventure 🕹️
Posted on r/selfhosted |
Score: 100 |
Comments: 26
WorkAdventure is an open-source, self-hostable virtual office platform where teams interact via pixel-art avatars with proximity video chat. It supports embedding tools, AI NPCs, and can host up to 5,000 users on a single map, making it ideal for remote teams, onboarding, or events.
Key Points:
100% open-source and self-hostable with no backend database required
Uses Svelte, Node.js, WebRTC, and Phaser.js for a 2D map engine
Supports proximity video chat, tool embedding, and AI NPCs
Scalable for up to 5,000 users on one map
Ideal for remote teams, onboarding, hackathons, or classrooms
"A remote team HQ that doesn’t feel like a spreadsheet"
Throwing AI at Developers Won’t Fix Their Problems
Posted on r/programming |
Score: 22 |
Comments: 6
The article argues that simply adopting AI tools won't resolve systemic engineering bottlenecks like flaky pipelines or poor documentation. Instead, organizations should focus on identifying specific problems to solve before selecting tools, and recognize that AI adds new layers of complexity rather than eliminating it.
Key Points:
AI tools alone won't fix systemic engineering bottlenecks like flaky pipelines or poor documentation.
Organizations should focus on solving specific problems rather than debating minor differences between AI tools.
AI introduces new complexities, such as governance and observability, rather than removing existing ones.
Developer experience (DevEx) is evolving with AI, requiring new workflows and collaboration models.
Leadership should empower early adopters to experiment with tools rather than mandating centralized solutions.
"Most engineering organizations do not need faster typers. The common engineering bottlenecks are flaky pipelines, no testing strategy, poor documentation, or organizational structures — the usual roadblocks to getting to business value."
Janet is a lightweight, embeddable programming language that supports both functional and imperative paradigms. It is designed for system scripting, rapid prototyping, and embedding in other applications, with a minimal footprint and extensive core features.
Key Points:
Janet is a functional and imperative language with a small footprint (<1MB).
It is easily embeddable in other programs with just two C files (janet.c and janet.h).
Supports threading, networking, event loops, and other advanced features out of the box.
Includes a REPL, interactive debugger, and Parsing Expression Grammars (PEG).
Can be used for system scripting, rapid prototyping, and dynamic systems.
"While Janet is embeddable, it comes with a bit more out of the box than many other such easily embeddable languages such as threading, networking, an event loop, subprocess handling, regex-like library called PEG, and more."
Why I write recursive descent parsers, despite their issues
Posted on r/programming |
Score: 16 |
Comments: 5
The article discusses the author's preference for recursive descent parsers despite their known issues, highlighting their practicality and ease of implementation compared to other parsing methods. The author argues that recursive descent parsers are often the most accessible option due to their reliance on standard language tools and the avoidance of additional dependencies or learning curves.
Key Points:
Recursive descent parsers are preferred for their simplicity and reliance on standard language tools.
They avoid the need for additional parser generators or lexers, which can be cumbersome to integrate.
The author values the ability to write parsers in the same language as the rest of the program, reducing complexity.
Despite their issues, recursive descent parsers are practical for occasional use in languages like Go and Python.
The author has developed a standard process for writing recursive descent parsers, making the task more manageable.
"By contrast, a recursive descent parser is just code in the language. You can obviously write that in any language, and you can build a little lexer to go along with it that's custom fitted to your particular recursive descent parser and your language's needs."