GOP Vermont State Senator Sam Douglass Resigns Over Hate-Filled Group Chat
Posted on r/politics |
Score: 12922 |
Comments: 532
Vermont GOP State Senator Sam Douglass resigned after being exposed for participating in a hate-filled group chat. The messages contained racist, homophobic, and antisemitic content, leading to widespread condemnation and calls for his removal from office.
Key Points:
Vermont State Senator Sam Douglass (R) resigned from office
The resignation followed exposure of his participation in a hate-filled group chat
The messages contained racist, homophobic, and antisemitic content
The revelation prompted widespread condemnation from colleagues and constituents
Douglass faced mounting pressure to resign before ultimately stepping down
"GOP Vermont State Senator Sam Douglass Resigns Over Hate-Filled Group Chat"
Trump's ICE jacks up weapons spending by 700%--including 'guided missile warheads'
Posted on r/politics |
Score: 5425 |
Comments: 478
Under the Trump administration, U.S. Immigration and Customs Enforcement (ICE) dramatically increased its weapons spending by over 700% compared to the previous four-year period. This massive procurement included purchases of items such as guided missile warheads, sniper rifles, and other military-grade equipment.
Key Points:
ICE weapons spending increased by over 700% under Trump compared to the previous four years
Purchases included 'guided missile warheads' among other military equipment
Spending surged from approximately $3.5 million to over $27 million
The procurement occurred during a period of intense immigration enforcement
Documents were obtained through a Freedom of Information Act request
"Trump’s ICE Jacks Up Weapons Spending by 700%—Including ‘Guided Missile Warheads’"
Teachers Scrambled After ICE Released Tear Gas Outside a Chicago Elementary School
Posted on r/politics |
Score: 3239 |
Comments: 150
U.S. Immigration and Customs Enforcement agents released tear gas outside a Chicago elementary school during a raid, causing panic and trauma among students and teachers. The article details how the Trump administration's increased immigration enforcement actions in Chicago are directly impacting children, with teachers reporting scared students and panic attacks. The administration is criticized for militarizing cities instead of investing in underfunded schools or addressing poverty.
Key Points:
ICE agents released tear gas in a parking lot across from Funston Elementary School while class was in session
Teachers reported traumatized students, including one first-grader who had a panic attack
The Trump administration has intensified immigration enforcement in Chicago, including raids in residential neighborhoods
A 15-year-old U.S. citizen was recently arrested by CBP, creating a chilling effect in schools
Chicago teachers criticize the administration for militarizing cities rather than funding schools and addressing root causes of safety issues
""The smoke bombs that they dropped in front of school right at dismissal, the detainment of grown-ups after they drop off their children, or as they're picking them up. All of that is violent. All of that is traumatic," said Stacy Davis Gates, president of the Chicago Teachers Union."
The Great Software Quality Collapse: How We Normalized Catastrophe
Posted on r/programming |
Score: 872 |
Comments: 365
The article argues that software quality has catastrophically declined, with major applications routinely suffering from severe memory leaks and system-level failures that are now normalized. This crisis is amplified by AI coding tools that introduce more vulnerabilities and by the compounding inefficiency of software abstraction layers, leading to unsustainable energy consumption and real-world economic damage.
Key Points:
Software quality has degraded to the point where severe bugs, like a Calculator app leaking 32GB of RAM, are considered normal.
Major applications like VS Code, Teams, and Chrome now have massive, unaddressed memory leaks and system failures.
AI coding assistants weaponize this incompetence, generating code with 322% more security vulnerabilities and causing destructive incidents.
The CrowdStrike incident, which caused $10B in damage from a single missing field in a config file, exemplifies normalized incompetence.
Software's physical constraints are being hit, with compounding abstraction layers creating massive overhead and data center energy consumption becoming unsustainable.
"The pattern is clear: ship broken, fix later. Sometimes."
Jellyfin 10.11.0 has been released. This is a major change which includes a database migration within the 396 changes. Take a backup prior to upgrades.
Posted on r/selfhosted |
Score: 756 |
Comments: 147
Jellyfin has released version 10.11.0, which is a major update containing 396 changes. A key component of this release is a database migration, and users are strongly advised to back up their data before upgrading.
Key Points:
Jellyfin version 10.11.0 has been released
This is a major change with 396 total changes
The update includes a database migration
Users are warned to take backups prior to upgrading
"This is a major change which includes a database migration within the 396 changes. Take a backup prior to upgrades."
Posted on r/programming |
Score: 67 |
Comments: 20
The article describes a significant AWS outage that disrupted numerous online services, detailing the technical cause and providing guidance for businesses to improve resilience. It explains how an internal network impairment within a single Availability Zone cascaded into widespread service failures across multiple AWS services.
Key Points:
An internal network impairment within a single AWS Availability Zone triggered the widespread outage
The disruption affected multiple AWS services including EC2, RDS, and DynamoDB
Many popular websites and online services experienced downtime as a result
The article provides recommendations for building more resilient cloud architectures
Businesses are advised to implement multi-region and multi-AZ strategies for critical workloads
"The disruption began with an internal network impairment within a single Availability Zone, which then cascaded into widespread service failures across multiple AWS services."
The stable version 2.0 of UptimeKuma, a self-hosted monitoring tool, has been officially released. The author, who is not affiliated with the project, highlights the importance of following the migration procedure from version 1 and celebrates the release for those who were waiting for it.
Key Points:
UptimeKuma version 2.0 stable has been released
Users must follow the migration procedure from version 1
The release is targeted at users who were waiting for a stable v2
The author expresses enthusiasm for deployment
The author clarifies they are not affiliated with the project
"Don't forget to folow the migration procedure from v1 !"
Why Large Language Models Won’t Replace Engineers Anytime Soon
Posted on r/programming |
Score: 57 |
Comments: 29
The article argues that Large Language Models (LLMs) will not replace human engineers because they are brilliant mimics trained to predict plausible text, not autonomous thinkers that understand cause and effect. Engineering requires learning from real-world consequences and delayed feedback, a problem better modeled by Reinforcement Learning, but current methods like RLHF still optimize for style over functional truth. Fundamental mathematical limits, such as getting stuck in local optima and the difficulty of temporal credit assignment, further prevent LLMs from achieving the deep understanding required for engineering.
Key Points:
LLMs are trained on maximum likelihood estimation to predict the next plausible word, prioritizing plausibility over truth.
Engineering involves acting in the world and learning from delayed feedback, a process better modeled by Reinforcement Learning than text prediction.
Reinforcement Learning from Human Feedback (RLHF) optimizes for human-preferred style but does not verify if the output actually works.
Gradient descent, the core of AI training, can only find local optima, leaving models brilliant at imitation but blind to deeper understanding.
The 'temporal credit assignment' problem makes it difficult for algorithms to connect long-term consequences with earlier actions.
"LLMs, by contrast, read about consequences but never experience them. They don’t know what happens when a bridge collapses or when a system crashes. They can describe it, but not live it."
How to train your team to say "I was wrong" without drama
Posted on r/programming |
Score: 51 |
Comments: 22
This article argues that creating a culture where admitting mistakes is normalized is crucial for team learning and psychological safety. It identifies overdramatizing mistakes and gossiping about them as two major cultural poisons that prevent this. The author then offers practical rituals, like a dedicated #oops channel and preventive post-mortems, to make admitting errors a routine, low-drama event.
Key Points:
Overdramatizing mistakes with excessive apologies raises the emotional bar for admitting errors and makes others feel awkward.
Gossiping about a colleague's mistake sends the message that errors will be discussed behind one's back, encouraging secrecy.
Mistakes should be discussed factually and normally, like describing what you had for lunch.
Establish practical rituals, such as a dedicated #oops Slack channel for sharing mistakes without judgment.
Conduct preventive post-mortems before projects to anticipate and normalize potential failures.
"A team that hides mistakes is a team that lives in constant anxiety. A team that shares them is a team that learns fast."
20x Max Plan (€216) takes 2% of weekly Opus usage for a single Deep Research Query. That equals 50 per week if you use it ONLY for this and never continue or respond
Posted on r/ClaudeAI |
Score: 15 |
Comments: 4
A user analysis reveals that a single Deep Research query using the Opus model on Claude.ai consumes 2% of the weekly usage allowance. This means a user on the specified plan can only perform 50 such queries per week if they are used exclusively for this purpose and no further conversation. The user expresses dissatisfaction with this limitation, especially since any follow-up interaction drastically reduces the number of available queries.
Key Points:
A single Deep Research query consumes 2% of the weekly Opus usage allowance.
This limits a user to a maximum of 50 queries per week if used exclusively for this purpose.
Any follow-up interaction, such as clarifying or correcting, significantly reduces this number.
The user provides visual evidence of usage before and after a single query.
The user likes the workflow but is not a fan of the current restrictive experience.
"That means if you ONLY use it for deep research and nothing else, not even continuing the conversation or correcting, you can do 50 per week. If you try to clarify or fix then it's a LOT less."
Claude's rate limits are pretty bad. How do we think it's going in the future?
Posted on r/ClaudeAI |
Score: 12 |
Comments: 1
The author expresses significant frustration with Claude's rate limits, having reached their weekly capacity after only three days of usage. They describe their usage as minimal, involving a small number of messages and a brief coding session, and question the future viability of the service under these constraints.
Key Points:
The user reached their weekly rate limit for Claude in just three days.
Their described usage was minimal, including only about 30 small haiku messages.
They also used the service for about an hour of coding with Claude Sonnet.
The author finds the current rate limit system to be overly restrictive and 'stupid'.
They are concerned about the future user experience if these limits remain.
"I'm like 3 days in and I'm at weekly capacity, probably like 30 small haiku messages and about an hour of active sonnet for claude code, and this is getting pretty stupid"
The author explains that a friend unfamiliar with Georgism immediately understood its core principle after watching the film 'The Founder'. The movie illustrates how land ownership allows individuals to capture wealth created by productive laborers and capitalists, which is the central tenet of Georgism.
Key Points:
The film 'The Founder' effectively illustrates the Georgist concept of land monopolies.
The author's friend, a film major, understood the problem without prior knowledge of Henry George or Land Value Tax.
Land owners are depicted as vacuuming up wealth created by productive laborers.
The provided YouTube clip is presented as a succinct explanation of this economic principle.
The historical accuracy of the film's portrayal is acknowledged as unverified.
"he immediately connected the dots to this clip from The Founder, which succinctly explains why the people who own the land vacuum up all of the wealth created by productive laborers and capitalists"
Judo for JJ just a came out, a full GUI for the JJ VCS which is git-compatible
Posted on r/programming |
Score: 6 |
Comments: 1
Judo for JJ is a full-featured GUI for the JJ version control system that also works with Git repositories. It provides powerful tools for visualizing and manipulating repository history, including an operation log for restoring any point in time and advanced diff capabilities.
Key Points:
Available for macOS, Windows, and Linux (Ubuntu/Debian)
Restore repository to any point in time with Operation Log
View combined diffs of multiple commits or diffs between commits
Apply or revert hunks from diffs, files, or commits
Drag and drop rebase with advanced commit manipulation features
"Restore your repo to any point in time with the Operation Log. Undo and redo any change."
Could land value taxes increase the amount of public housing a govt would reasonably be able to build? By how much?
Posted on r/georgism |
Score: 3 |
Comments: 2
The author, a Canadian, questions why left-wing parties support public housing but ignore Land Value Taxes (LVTs), which could reduce land costs and enable more construction. They propose that shifting to an LVT system would make public housing more affordable and could be a way to introduce Georgist economic ideas to the political left.
Key Points:
Left-wing Canadian political parties support public housing but avoid discussing Land Value Taxes (LVTs).
A major reason public housing is expensive in Canada is the high cost of land.
Tax reform towards LVTs would lower the cost of land for public housing projects.
With lower land costs, governments could build more public housing for the same budget.
This approach could serve as a bridge to introduce Georgist ideas to the political left.
"My feeling is that public housing in Canada today will be expensive in large part because land is expensive, and tax reforms towards LVTs would help with that."