Don't Let AI Write For You: Your Thoughts Are More Interesting

2025-05-04

The author criticizes the overuse of large language models (LLMs) for writing by students and researchers, arguing that LLM-generated text is verbose, insipid, and lacks originality. He posits that using LLMs isn't about honesty or fairness, but stems from a misconception that LLMs improve efficiency or writing quality. The author emphasizes the value of expressing personal thoughts, contrasting LLM-generated text—a mere pastiche of existing content—with the unique insights and personal experiences inherent in human writing. Using his teaching and reviewing experiences as examples, he illustrates the drawbacks of LLM writing and conducts an experiment to show how LLM-generated text lacks depth and creativity. Ultimately, the author urges readers to reject LLM writing and express their unique thoughts with their own voice.

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Development Originality

Backblaze's 2024 Hard Drive Failure Rate Report: 24TB Drives Shine

2025-02-11
Backblaze's 2024 Hard Drive Failure Rate Report: 24TB Drives Shine

Backblaze released its Q4 2024 hard drive failure rate report, covering over 300,000 drives. The overall failure rate dropped to 1.35%, with 24TB Seagate drives boasting zero failures in Q4. 4TB drives are nearing extinction, being replaced by 20TB, 22TB, and 24TB models. The report analyzes failure rate trends across manufacturers and drive capacities, offering insights for users. The author also announced their retirement, with a new team taking over future reports.

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Ant Group Cuts AI Training Costs by 20% Using Chinese Chips

2025-03-25
Ant Group Cuts AI Training Costs by 20% Using Chinese Chips

Ant Group, backed by Jack Ma, has developed AI model training techniques using domestically produced semiconductors from Alibaba and Huawei, achieving cost reductions of 20%. While still utilizing Nvidia chips, Ant primarily relies on AMD and Chinese alternatives for its latest models, mirroring similar results to Nvidia's H800. This highlights China's efforts to reduce reliance on high-end Nvidia chips. Ant's newly developed language models, Ling-Plus and Ling-Lite, even outperformed Meta's Llama in some benchmarks. These models, intended for healthcare and finance applications, signify a significant advancement in cost-effective AI development in China.

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Configuring BorgBackup and borgmatic for Backups on macOS

2025-08-04

This article details configuring BorgBackup and borgmatic for backups on macOS. It explains creating a LaunchAgent using launchctl to schedule borgmatic, addressing its logging limitations. Methods for restoring files, exporting keys, validating backups, and testing backups are provided. The author compares BorgBackup and Time Machine, suggesting using both and following the 3-2-1 backup rule for robust data protection.

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Development

Radio Connects: ARRL Field Day

2025-06-29
Radio Connects: ARRL Field Day

Over 31,000 amateur radio operators (“hams”) across the US and Canada participate in ARRL Field Day each year on the fourth weekend in June. This event combines a picnic, campout, emergency preparedness practice, and informal contest, showcasing amateur radio's role in connecting people, emergency communication, and STEM education. Participants set up radio equipment in remote locations, making contacts with other stations and demonstrating the value of ham radio to the public. It's also a great opportunity for hams to make friends, learn new skills, and give back to their communities.

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BCacheFS Disabled in openSUSE Kernels 6.17+

2025-09-11

The openSUSE team announced that BCacheFS filesystem will be disabled in kernels 6.17 and later. This is because BCacheFS is externally maintained since version 6.17, and openSUSE will no longer maintain and backport downstream patches. Currently, 6.16 and earlier versions are unaffected. Users should follow BCacheFS upstream advice for installation and usage, or prepare a KMP themselves. BCacheFS will be re-enabled once its maintainer resumes upstream maintenance.

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Development

Database Query Engines: Push vs. Pull

2025-04-16

This article delves into the differences between push-based and pull-based query engines in databases. Pull-based systems, akin to the iterator model, are consumer-driven, where data is retrieved on demand. Push-based systems, conversely, are producer-driven, actively pushing data to downstream operators. Push-based systems excel at handling DAG-shaped query plans (e.g., SQL's WITH clause) due to their ability to efficiently push data to multiple downstream operators, avoiding redundant computations and unnecessary buffering. However, pull-based systems offer advantages when handling certain algorithms (like merge joins and LIMIT clauses). The article further examines cache efficiency, code simplicity, and the suitability of each model in different scenarios, concluding that neither is universally superior, with the choice depending on specific requirements.

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Development query engine push-pull

BeeKEM: A Novel Key Encapsulation Mechanism for Decentralized Secure Group Messaging

2025-06-19
BeeKEM: A Novel Key Encapsulation Mechanism for Decentralized Secure Group Messaging

This article delves into BeeKEM, a novel key encapsulation mechanism for decentralized secure group messaging. Unlike traditional TreeKEM, BeeKEM enhances recovery from conflicting offline updates and network splits by allowing multiple group state "epochs" to coexist simultaneously. When members receive conflicting updates, they retain all received keys, marking them as "conflicted," thus continuing to decrypt and read messages from conflicting epochs. Updates proceed by treating conflicted nodes as blank. BeeKEM unlocks new possibilities for building local-first apps with stronger privacy and autonomy.

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Trump's Crypto Reserve: A Dangerous Boondoggle

2025-03-07
Trump's Crypto Reserve: A Dangerous Boondoggle

A 33-year veteran money manager vehemently criticizes President Trump's executive order establishing a "strategic cryptocurrency reserve." The author argues this plan is unnecessary, potentially harmful, and rife with corruption risk. He satirically compares it to a "digital Fort Knox," highlighting the absurdity given the U.S.'s departure from the gold standard in 1933. The author deems the initiative a dangerous and wasteful boondoggle, posing a potential threat to U.S. economic and financial stability.

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RubyLLM: An Elegant Ruby Library for AI Interaction

2025-03-15
RubyLLM: An Elegant Ruby Library for AI Interaction

RubyLLM is a clean and easy-to-use Ruby library that simplifies interaction with various AI models, including OpenAI, Anthropic, Gemini, and DeepSeek. It provides a unified API and data format, eliminating the headaches of juggling incompatible APIs from different AI providers. RubyLLM supports a wide range of AI functionalities, such as chat, image and audio analysis, PDF processing, image generation, vector embeddings, and custom tool integration. Seamless integration with Rails allows for easy persistence of chat history. Its design philosophy prioritizes elegant Ruby code over complex configurations and callbacks, making AI interaction a joy.

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Development

The Bloody Cane: Gutta-Percha, the Transatlantic Cable, and Environmental Destruction

2025-09-01
The Bloody Cane: Gutta-Percha, the Transatlantic Cable, and Environmental Destruction

The 1856 caning of Senator Charles Sumner by Representative Preston Brooks is a notorious event highlighting the fractured political climate before the American Civil War. Less known is the story of the cane itself, crafted from gutta-percha, a natural rubber from Southeast Asia. This seemingly innocuous material proved crucial to the 19th-century communications revolution, enabling the transatlantic telegraph cable. However, the insatiable demand led to widespread deforestation and environmental devastation, ultimately replaced by synthetic plastics. The story serves as a cautionary tale about the unforeseen consequences of technological advancement and the need for sustainable practices.

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Misc

FAIR: A Decentralized Future for WordPress

2025-06-07
FAIR: A Decentralized Future for WordPress

Concerned about centralized power and governance issues within the WordPress ecosystem, core contributors launched FAIR (Federated and Independent Repositories). FAIR isn't a fork, but a new distribution layer offering users more control over plugin delivery and a decentralized alternative. Hosted under the Linux Foundation, FAIR features a community-led Technical Steering Committee and provides improved plugin update services, enhanced discoverability, and a more transparent governance model. It leverages existing tools but focuses on user-friendliness, aiming to strengthen WordPress's infrastructure and sustainability.

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Game-Changing Molecule Shows Promise as Carbon Monoxide Antidote

2025-08-14

Researchers at the University of Maryland School of Medicine have engineered a novel molecule, RcoM-HBD-CCC, showing significant promise as a carbon monoxide poisoning antidote with fewer side effects than existing treatments. This protein-based therapy acts as a carbon monoxide sponge, rapidly removing the toxic gas from the blood in mouse studies and safely eliminating it through urine. Unlike other treatments, it caused minimal blood pressure changes. This breakthrough offers potential for a rapid, intravenous antidote, potentially usable in emergency rooms and even by first responders.

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Beyond BPE: The Future of Tokenization in Large Language Models

2025-05-30
Beyond BPE: The Future of Tokenization in Large Language Models

This article explores improvements to tokenization methods in large pre-trained language models. The author questions the commonly used Byte Pair Encoding (BPE) method, highlighting its shortcomings in handling subwords at the beginning and inside words. Alternatives are suggested, such as adding a new word mask. Furthermore, the author argues against using compression algorithms for preprocessing inputs, advocating for character-level language modeling, drawing parallels with Recurrent Neural Networks (RNNs) and deeper self-attention models. However, the quadratic complexity of the attention mechanism presents a challenge. The author proposes a tree-structure-based approach, using windowed subsequences and hierarchical attention to reduce computational complexity while better capturing language structure.

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AI

Toma: Building an AI Workforce for the $1.5T Automotive Industry

2025-02-05
Toma: Building an AI Workforce for the $1.5T Automotive Industry

Toma is building an end-to-end AI workforce for the $1.5 trillion automotive industry. Their largest customers spend over $1.5 billion annually on processes readily automatable with AI, including customer service, repair order management, warranty processing, and sales. Toma's team boasts a track record of building and selling successful AI applications, a best-in-class voice AI product, and deep, first-hand experience from working directly with and studying automotive dealerships. They operate with a team-oriented, accountable approach, emphasizing data-driven decisions and providing significant autonomy. Located in San Francisco's Dogpatch neighborhood, Toma offers a fast-paced, no-BS environment where exceptional people can make a substantial impact. They work in-office five days a week.

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AI

Anthropic's Economic Index: Mapping AI's Impact on the Labor Market

2025-02-10
Anthropic's Economic Index: Mapping AI's Impact on the Labor Market

Anthropic launched the Anthropic Economic Index, a new initiative analyzing AI's effects on labor markets. Their initial report, based on millions of anonymized Claude.ai conversations, provides unprecedented insights into real-world AI adoption. The study reveals AI usage is concentrated in software development and technical writing, with about 36% of occupations using AI in at least 25% of their tasks, but few using it for the majority. AI is more often used for augmentation (57%) rather than automation (43%). Mid-to-high wage occupations show higher AI adoption, while low and high-wage jobs show lower rates. The dataset is open-sourced, and Anthropic invites input from researchers to understand and address the implications for employment and productivity.

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Gen Z Locked Out: How AI Is Aging Silicon Valley's Workforce

2025-09-08
Gen Z Locked Out: How AI Is Aging Silicon Valley's Workforce

Silicon Valley is getting older, and it's not a natural aging process. Data reveals a dramatic decline in the number of Gen Z employees at tech companies, halved in just two years. AI-driven automation is replacing entry-level positions, leaving younger workers displaced while older, more established employees retain their jobs. This trend, fueled by efficiency gains and cost-cutting measures, threatens innovation and long-term stability. Experts advise Gen Z to adapt by mastering AI tools, pursuing upskilling opportunities, and exploring alternative career paths to navigate this changing landscape.

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Tech

The GLP-1 Shortage Ends: A Battle of Price and Legal Loopholes

2025-03-15
The GLP-1 Shortage Ends: A Battle of Price and Legal Loopholes

Three GLP-1 weight-loss drugs approved in the US soared in price due to shortages, leading telehealth startups to partner with compounding pharmacies to sell them cheaply. However, with the FDA declaring the shortage over, this is about to change. Pharmacies are attempting various legal strategies to continue sales, including modifying dosages or adding ingredients, but their success is questionable. Meanwhile, pharmaceutical companies are launching new direct-to-consumer models with prices between high and low, and are taking steps to prevent dosage arbitrage. The outcome will affect millions relying on these drugs, offering a new perspective on innovation in pharmaceutical business models.

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Revamping the ACM Student Research Competition: A Focus on Feedback

2025-01-22
Revamping the ACM Student Research Competition: A Focus on Feedback

While the programming languages community boasts mentoring initiatives like PLMW, SIGPLAN-M, and PLTea, a crucial piece is missing: guidance on presenting research. The authors argue that the ACM Student Research Competition (SRC), while intending to help, suffers from a competition-focused approach that overshadows its feedback mechanisms. This leaves junior researchers lacking the crucial skills of presenting their work effectively. The proposed solution is to refocus the SRC on providing high-quality feedback from experts, including increased expert reviewers, detailed feedback, and archiving extended abstracts. This aims to improve student presentation skills and increase the visibility of their research.

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From Return to Enter: A History of the Keyboard's Most Iconic Key

2025-09-02
From Return to Enter: A History of the Keyboard's Most Iconic Key

This article traces the fascinating evolution of the 'Return' key from typewriters to modern computer keyboards. Initially a mechanical lever, the typewriter's carriage return transformed into a key with the advent of electricity. Teletype machines decoupled carriage return and line feed for efficiency, adding complexity. Electronic word processors introduced 'soft' and 'hard' returns. Finally, the personal computer era saw IBM PCs adopt 'Enter' while Apple used 'Return,' establishing the current duality. The author reflects on the key's convoluted journey, highlighting the complexities inherited in modern software.

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Tech

Common Questions and Answers on AI Evaluation: Lessons from 700+ Engineers and PMs

2025-07-03
Common Questions and Answers on AI Evaluation: Lessons from 700+ Engineers and PMs

This post summarizes frequently asked questions encountered while teaching 700+ engineers and product managers an AI evaluation course. Topics covered include whether RAG is dead, model selection, annotation tools, evaluation methodologies, synthetic data generation, and gaps in existing evaluation tooling. The authors stress the importance of error analysis, advocating for binary evaluations over Likert scales, and sharing best practices for building custom annotation tools, choosing appropriate chunk sizes, and evaluating RAG systems. The post also discusses the differences between guardrails and evaluators, minimum viable evaluation setup, evaluating agentic workflows, and the different uses of evaluations in CI/CD versus production monitoring.

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Development Error Analysis

Shaped is Hiring a Head of Engineering

2025-06-11
Shaped is Hiring a Head of Engineering

Shaped is seeking a Head of Engineering to scale its engineering organization and drive the technical vision of its products. The ideal candidate will have 8+ years of software engineering experience, a B.S., M.S., or Ph.D. in Computer Science or a related field, and excellent communication and problem-solving skills. Responsibilities include defining technical strategy, managing teams, overseeing product development, cross-functional collaboration, and process and infrastructure optimization. This is a leadership opportunity to shape the product roadmap and ensure platform reliability and scalability.

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Singaporean Urban Design: Where Structure Meets Spirit

2025-06-13
Singaporean Urban Design: Where Structure Meets Spirit

This interview features Calvin Chua, founder of Spatial Anatomy in Singapore, discussing how he integrates design, research, and advocacy into challenging global contexts. Chua's work focuses on the hidden forces shaping urban development, such as the unique ownership structures of Singapore's "strata malls" and a replicated North Korean apartment project revealing everyday life realities. He highlights different models of adaptive reuse, from large-capital projects to community-led efforts, emphasizing that successful adaptive reuse requires understanding both the structure and spirit of a building—neither can be neglected. Chua's experience ranges from urban planning training in North Korea to curating Singapore Archifest 2023, showcasing his profound insights into urban development.

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High-Energy Nitrogen: Breakthroughs and Challenges

2025-06-18
High-Energy Nitrogen: Breakthroughs and Challenges

Recent years have witnessed significant progress in the research of polynitrogen compounds as high-energy-density materials. Scientists have successfully synthesized compounds containing hexazine rings and conducted in-depth studies on their structure and stability. However, the synthesis and stability of polynitrogen compounds remain a significant challenge, with factors such as quantum tunneling effects playing a crucial role. Future research will focus on overcoming the challenges in synthesis and stability to develop safer and more efficient polynitrogen high-energy materials.

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Geolocation via Network Latency: Enhancing Online Poll Security

2025-01-14

A novel technique uses network latency to verify the authenticity of online poll responses. By measuring the time it takes for signals to travel between a device and multiple servers, the device's physical location can be inferred. This method is resistant to manipulation, functioning even with location services disabled, and provides an additional layer of security against poll rigging. While atmospheric or satellite signal manipulation is theoretically possible, it requires significant resources and expertise, making large-scale manipulation extremely difficult. Combined with other security measures such as excluding known data center IPs and analyzing response patterns, this significantly enhances the integrity of online polls.

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Redfly.ai: Revolutionizing Database Performance with Schema-Agnostic Caching

2025-05-05
Redfly.ai: Revolutionizing Database Performance with Schema-Agnostic Caching

After 20+ years building data-driven apps, the redfly.ai team tackled database performance, scalability, and cost issues head-on. Their solution? The world's first schema-agnostic caching system. By effectively caching all reads and using the database primarily for storage, redfly.ai bypasses most disk-based database challenges. Currently supporting SQL Server and Postgres with plans for broader database and cloud platform support, redfly.ai aims to provide developers with a high-performance, cost-effective data access solution.

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Development database caching

Toyota Hit with Class-Action Lawsuit Over Illegal Data Sharing

2025-05-05
Toyota Hit with Class-Action Lawsuit Over Illegal Data Sharing

A federal class-action lawsuit accuses Toyota and its affiliated telematics data aggregator, CAS, of illegally collecting and selling driver data to Progressive Insurance. Plaintiff Philip Siefke, a Toyota RAV4 owner, discovered Progressive possessed his driving data without his consent. The suit alleges Toyota failed to inform Siefke of the data sharing and claims the practice violated customer privacy. The lawsuit seeks damages and an injunction against further data collection. This highlights the challenges automakers and insurers face regarding data privacy.

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Tech

ICEBlock App Explodes in Popularity After Attorney General Criticism

2025-07-03
ICEBlock App Explodes in Popularity After Attorney General Criticism

ICEBlock, an iPhone app allowing anonymous reporting of ICE agent sightings, has skyrocketed in Apple's US App Store rankings. Ironically, criticism from Florida Attorney General Pam Bondi fueled its viral ascent. The app, primarily used in Los Angeles where ICE raids are frequent, saw a massive surge in downloads following Bondi's comments. Users can report ICE sightings within a 5-mile radius; the app sends notifications and, importantly, doesn't collect user data, a fact confirmed by TechCrunch's network traffic analysis.

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Apple's Siri Overhaul Hit by Bugs, Facing Potential Delays

2025-02-16
Apple's Siri Overhaul Hit by Bugs, Facing Potential Delays

Apple's long-awaited Siri update is encountering significant engineering challenges and software bugs, jeopardizing its timely release. The update, a key component of Apple's AI strategy to compete with rivals, is facing delays. Features initially slated for April may be pushed back to May or later. Internal testing reveals inconsistencies, leading Apple to consider delaying the launch or disabling some features by default. This could impact other Apple products, including the upcoming smart home hub. Apple's AI team is under pressure to meet deadlines and Wall Street's AI expectations, yet their platform lags behind competitors like OpenAI, Google, and Meta. iPhone 16 sales haven't seen a significant boost from AI features. Apple is restructuring its AI and machine learning team and planning a more conversational Siri for 2026.

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Tech

John Deere's Driverless Tractors: A Solution to Farming's Labor Crisis?

2025-01-07
John Deere's Driverless Tractors: A Solution to Farming's Labor Crisis?

Facing a growing labor shortage in agriculture, John Deere is betting big on autonomous technology. The company plans to introduce a lineup of self-driving tractors, dump trucks, and even a robotic lawnmower. These machines promise to revolutionize farming by autonomously handling tasks like plowing, hauling, and maintenance. John Deere aims to address labor shortages plaguing industries like California's nut farming sector. By 2030, the company hopes to sell a fully autonomous corn and soybean farming system, significantly boosting efficiency and safety.

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