1. I ruined my vacation by reverse engineering WSC
Total comment counts : 20
Summary
The author shares their experience implementing “defendnot,” a tool to disable Windows Defender via the Windows Security Center (WSC) API. Reflecting on their journey, they highlight challenges faced due to their unique environment while developing this project, following the previous tool “no-defender.” After a DMCA takedown of “no-defender,” the author, now in Seoul, explored the potential for a cleaner version. Collaborating with a peer, they navigated the WSC, overcoming access issues by injecting code into the antivirus process to successfully register their tool. A detailed technical write-up will follow later.
Top 1 Comment Summary
The article describes a method to disable Windows Defender by booting from a live Linux USB, renaming the “C:\ProgramData\Microsoft\Windows Defender” folder, and creating an empty file in its place. This approach is highlighted as both invasive and effective.
Top 2 Comment Summary
The project gained significant popularity, amassing around 1,500 stars, which prompted the antivirus developers to issue a DMCA takedown request. The reason for this action is unclear, but it may involve the author reverse-engineering the antivirus and incorporating its elements into the project. There are also indications of possible impersonation of a Windows Defender component. Overall, the situation raises questions about potential copyright law violations by the author.
2. Intellect-2 Release: The First 32B Model Trained Through Globally Distributed RL
Total comment counts : 17
Summary
INTELLECT-2 has been launched as the first 32 billion parameter model trained through globally distributed reinforcement learning, utilizing a decentralized, asynchronous framework. It employs new components like PRIME-RL for training and TOPLOC and SHARDCAST for data verification and policy broadcasting. This marks a shift from traditional centralized reinforcement learning, showcasing the feasibility of decentralized training. INTELLECT-2 aims to enhance reasoning capabilities and is open-sourced to foster further research. The initiative promotes a peer-to-peer computing protocol for collective AI development, encouraging contributions from individual to global resources.
Top 1 Comment Summary
The article discusses the term “Hubris,” implying it feels somewhat diminished despite having a name and logo. It suggests a connection to the themes explored in the novel “The Metamorphosis of Prime Intellect.”
Top 2 Comment Summary
The article highlights the potential of a decentralized approach to training large language models (LLMs) without reliance on trust. It suggests that this method could be utilized as a proof of work alternative, minimizing the waste of computing resources often seen in cryptocurrencies while generating useful outputs as a byproduct.
3. Scraperr – A Self Hosted Webscraper
Total comment counts : 16
Summary
Scraperr is a powerful self-hosted web scraping tool that allows precise data extraction using XPath selectors. It features an intuitive interface for managing scraping tasks, viewing results, and exporting data. Users should only scrape websites that explicitly allow it, as the creator disclaims any misuse. The project is licensed under the MIT License. For setup, developers can quickly start by running “make build up-dev” and can refer to the documentation for a comprehensive guide.
Top 1 Comment Summary
The author expresses their frustration with unethical scraping practices on their websites. They encourage scrapers to identify themselves in their user agent string and include contact information to resolve potential issues. The author outlines several unacceptable behaviors, such as timing out requests prematurely, causing unnecessary strain on resources, and ignoring the robots.txt file. They emphasize that such actions lead to IP bans and disrupt service for both scrapers and regular users, urging scrapers to act responsibly and ethically to avoid negative consequences.
Top 2 Comment Summary
The article promotes a tool that allows users to prefix any URL with “https://pure.md/" to obtain its pure markdown version. This tool offers features like bot detection avoidance, proxy rotation, and headless JavaScript rendering, making it useful for directly inputting web content into a language model.
4. High-school shop students attract skilled-trades job offers
Total comment counts : 27
Summary
The article features sections on popular articles and the latest podcasts, highlighting engaging content for readers and listeners. It encourages exploration of these resources for the latest insights and trends.
Top 1 Comment Summary
I’m unable to access external links directly. However, if you provide the main text or key points from the article, I can help you summarize it concisely!
Top 2 Comment Summary
The author validates their parenting approach, advocating for teens to learn a trade before pursuing a profession. A trade, such as carpentry or plumbing, allows individuals to work independently and meet basic human needs, while a profession typically requires an employer and involves higher risks. The author believes that having both skills prepares young adults to navigate life’s challenges and gives them the empowerment to leave untenable situations. Drawing from their own experiences, the author appreciates their practical upbringing, which has enabled them to pursue creative endeavors and maintain independence.
5. LSP client in Clojure in 200 lines of code
Total comment counts : 5
Summary
The article discusses the author’s unsuccessful attempt to integrate Large Language Models (LLMs) with the Language Server Protocol (LSP) to create a tool for code assistance. Despite the challenges, the author successfully developed a minimal LSP client in Clojure under 200 lines of code, drawing from prior experience with a more complex LSP client. The post aims to instruct developers, particularly Clojure programmers, on constructing an LSP client that communicates with language servers via JSON-RPC, emphasizing the benefits of LSP in reducing integration complexity across editors and languages.
Top 1 Comment Summary
It seems that the article you referenced contains only the word “[dead].” Therefore, there is no content to summarize. If you have another article or text you would like me to summarize, please provide it.
6. Continuous Thought Machines
Total comment counts : 16
Summary
The Continuous Thought Machine (CTM) is a novel neural network architecture that incorporates the timing and synchronization of neural activity as a fundamental aspect of decision-making. Unlike traditional models that simplify neural processes for efficiency, the CTM explicitly models neural dynamics, which are crucial for reasoning. This approach allows the CTM to solve tasks more flexibly, leveraging sequential thought across various data formats. The model demonstrates the importance of timing in AI, aiming to bridge the gap between human cognition and machine intelligence. A demo of the CTM’s maze-solving ability is available online for interaction.
Top 1 Comment Summary
The paper raises concerns about its disconnect from existing research on biologically plausible spiking artificial neural networks. It fails to acknowledge significant groundwork in that area and instead aligns itself with machine learning terminology, which could lead to confusion. Specifically, the authors’ use of “thinking” to describe synaptic integration processes misrepresents the concept, as true thinking involves complex idea evaluation rather than simple unit processes. The terminology could mislead readers unfamiliar with both machine learning and neural network literature. The review indicates a lack of clarity in the paper’s terminology and concepts.
Top 2 Comment Summary
The article discusses the importance of understanding time in relation to brain and body functions, contrasting the traditional linear view of time with the need for well-organized sequences of actions. It highlights how perceptions of “now” can vary significantly, from 300 milliseconds to 50 microseconds in specific neural evaluations. For further insights on this topic, an interview with RW Williams in The European Journal of Neuroscience provides additional context on contingent temporality.
7. Avoiding AI is hard – but our freedom to opt out must be protected
Total comment counts : 24
Summary
AI increasingly influences daily aspects of life, from job applications to healthcare, raising concerns about personal autonomy and choice. Many individuals struggle to opt out of AI systems due to their pervasive nature and inherent biases, which can lead to significant disadvantages for those less digitally literate. This growing divide between the AI-optimised and those left behind threatens societal equality. The right to disengage from AI without facing exclusion is vital, necessitating transparent decision-making processes and increased awareness about AI technologies. Society must prioritize policies that protect individual freedoms while promoting digital literacy to ensure informed engagement with AI.
Top 1 Comment Summary
The article discusses the use of AI algorithms in resume screening, noting that this practice is not new. It argues that while AI might enhance the screening process by mimicking human judgment, it also perpetuates biases. Companies often rely on these automated systems to minimize legal liability, as fewer human reviewers can reduce the risk of lawsuits. However, the potential for algorithmic errors remains, complicating accountability. The article raises interesting points about the implications of AI in hiring practices.
Top 2 Comment Summary
AI decision-making requires greater transparency and accountability, especially in sectors like hiring, healthcare, and finance. Unlike human biases, AI’s biases can’t be easily identified just by examining their code. If an AI behaves unethically, companies must take responsible actions, such as recalling the AI across all applications, rather than dismissing issues unless they occur in their specific usage. Given the potential widespread impact of faulty AI, treating AI similarly to humans in terms of ethical accountability is essential to mitigate harm.
8. Absolute Zero Reasoner
Total comment counts : 11
Summary
Andrew Zhao and Yiran Wu are seeking full-time research scientist positions starting June 2026, focusing on reinforcement learning (RL) for large language models (LLMs) and reasoning. They introduce the Absolute Zero paradigm, which allows a model to autonomously generate and solve tasks with zero human-curated data, thereby promoting scalable AI growth. Their implementation, the Absolute Zero Reasoner (AZR), demonstrates state-of-the-art performance in reasoning tasks by leveraging self-play and a specialized reward system. AZR effectively enhances performance as model size increases, underscoring the potential of autonomous learning in AI without human supervision.
Top 1 Comment Summary
The article critiques examples from a paper demonstrating state-tracking behavior in a model. In one instance, Figure 26 shows the model generating incorrect reasoning but arriving at the correct output, raising questions about the validity of the demonstration. Figure 32 suggests the model became aware of its competitive environment, likely due to prompt information. Overall, the author expresses skepticism regarding the paper’s findings, feeling it lacks credibility and relies on misleading presentations.
Top 2 Comment Summary
The article questions the term “Absolute Zero” in relation to a method that requires starting with a pretrained language model (LLM). It suggests that the approach involves using an existing LLM to generate and solve tasks, enhancing its performance through additional training. The author expresses confusion about the novelty of this idea, likening it to a variant of adversarial training.
9. US Copyright Office found AI companies breach copyright. Its boss was fired
Total comment counts : 30
Summary
error
Top 1 Comment Summary
The article discusses the geopolitical implications of U.S. regulations on large language models (LLMs) concerning copyright use. It argues that if the U.S. enforces strict rules, countries like China will not comply, leading to potential competitive disadvantages for U.S. LLM companies. This could result in foreign AI advancements outpacing those in the U.S. The author suggests that while ethical considerations are important, the question of global leadership in AI technology influences government regulatory decisions.
Top 2 Comment Summary
Firing someone over criticism of copyright law related to technology is unusual, as it seems like an attempt to censor valid interpretations. The article argues that while using copyrighted data to train AI models may appear illegal, human creativity often draws inspiration from existing works without legal consequences. Given AI’s transformative potential, the existing laws should be updated to accommodate its use rather than stifling discussions around it.
10. The Academic Pipeline Stall: Why Industry Must Stand for Academia
Total comment counts : 15
Summary
The U.S. National Science Foundation (NSF) has frozen all funding, halting over 1,000 research projects and leaving $739 million in grants unexecuted. This abrupt action has disrupted the academic research ecosystem, causing labs to suspend operations, graduate students to face uncertainty, and early-career faculty to lose critical funding. There is no contingency plan for these disruptions, prompting a call for industry leaders and alumni to advocate for a robust research pipeline. The success of tech giants stems from foundational public research, which now needs support to continue driving innovation and societal progress.
Top 1 Comment Summary
The article argues that support for education and research should be prioritized as highly as essential public services like clean air and safe roads. However, it suggests that current leaders may value education and research more similarly to less critical interests, such as golf tournaments or consumer products like Diet Coke.
Top 2 Comment Summary
The article discusses the current challenges facing American universities, emphasizing that only the federal government can provide the necessary funding. It notes that unlike other countries, U.S. states individually manage their resources but have become overly reliant on federal support for education and healthcare. This reliance has made universities vulnerable to political pressures, with over half the country expressing dissatisfaction with them. The article highlights a shift in circumstances, suggesting that states could and should take more responsibility for funding their universities.