Python 3.14 Introduces Template Strings: Safer String Processing Beyond f-strings

2025-04-10
Python 3.14 Introduces Template Strings: Safer String Processing Beyond f-strings

Python 3.14 introduces template strings (t-strings), extending f-strings to allow developers to access and transform values before string interpolation. This prevents security vulnerabilities like SQL injection and XSS. T-strings resolve to a new `Template` object containing string parts and interpolation expressions, enabling custom processing such as HTML sanitization and structured logging. This enhancement provides Python with more flexible and secure string handling and opens new possibilities for building sophisticated DSLs and templating engines.

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Development template strings

OpenAI Bans Chinese Users for Using ChatGPT to Develop AI Surveillance Tool

2025-02-22
OpenAI Bans Chinese Users for Using ChatGPT to Develop AI Surveillance Tool

OpenAI banned a group of Chinese users for attempting to use ChatGPT to debug and edit code for an AI-powered social media surveillance tool. The tool monitored anti-Chinese sentiment on platforms like X, Facebook, and YouTube, with the intention of sharing insights with Chinese authorities. OpenAI detected the users' activities, noting their consistent use of ChatGPT during Chinese business hours and the high volume of prompts suggesting manual, rather than automated, operation. This marks the first time OpenAI has uncovered such an AI tool, raising concerns about the misuse of AI technology.

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The Epic Collapse of a Business Partnership: The Sriracha Saga

2025-09-07
The Epic Collapse of a Business Partnership: The Sriracha Saga

A 28-year partnership between California farmer Craig Underwood and Huy Fong Foods founder David Tran imploded over a disagreement regarding the 2017 chili pepper payment. Underwood was Huy Fong's sole chili supplier, and Tran's sriracha sauce was a global phenomenon, resulting in an incredibly close relationship. The fallout saw Tran's factory severely hampered by supply shortages, while Underwood faced financial ruin, each accusing the other of malicious intent. Underwood won the subsequent lawsuit, but both suffered massive losses, leading to sriracha shortages and the rise of competitors. This epic business collapse highlights the critical role of trust in long-term partnerships and underscores the management and risk-control deficiencies of rapidly expanding businesses.

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Anthropic Updates Claude's Privacy Policy: User Data for Model Improvement

2025-08-29
Anthropic Updates Claude's Privacy Policy: User Data for Model Improvement

Anthropic has updated Claude's Consumer Terms and Privacy Policy, giving users the option to allow their data to be used to improve Claude's capabilities and enhance safety features. Opting in allows your data to be used for model training, improving Claude's coding, analysis, and reasoning skills, but extends data retention to five years. Opting out maintains the existing 30-day retention period. This update applies to Claude Free, Pro, and Max plans, but excludes services under commercial terms. Users can adjust their preferences at any time in their settings.

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National Archives Needs Your Help Deciphering Historical Handwriting

2025-01-18
National Archives Needs Your Help Deciphering Historical Handwriting

The US National Archives holds a vast collection of historical documents written in cursive, many of which are difficult to read. To increase accessibility of its digital catalog, the Archives launched the 'Citizen Archivist' program, recruiting volunteers to transcribe and organize these handwritten records. Volunteers can use simple online tools to transcribe or tag already transcribed documents, contributing even small amounts of time. This project not only aids historical research but also gives more people access to American history and even reignites interest in cursive writing, as more states mandate its teaching in schools.

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Curl's Dotted Disaster: Two CVEs and a Never-Ending Chase

2025-05-15
Curl's Dotted Disaster: Two CVEs and a Never-Ending Chase

The curl team has had a persistent struggle with trailing dots in hostnames within URLs. Initially ignoring them, curl later reinstated support for websites requiring trailing dots. However, this change inadvertently introduced two security vulnerabilities (CVE-2022-27779 and CVE-2022-30115) affecting cookie handling and the HSTS mechanism respectively. These vulnerabilities stemmed from improper handling of trailing dots leading to incorrect domain matching. curl 7.83.1 addresses these issues, but the author suspects this may be just the beginning of a long-running battle.

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Development

My Keyboard Odyssey: Maltron vs. MoErgo Glove80

2025-07-23

After years of hand pain from using traditional keyboards, the author tried both Maltron and MoErgo Glove80 ergonomic keyboards. While the Maltron, despite its dated looks, offered a superior thumbpad design for ergonomic comfort, the Glove80, though customizable, suffered from less-than-ideal thumbpad placement and key latency issues. Ultimately, the author returned to the Maltron, highlighting the often-overlooked importance of thumbpad design in ergonomic keyboards.

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Hardware keyboard design

Quantum Mechanics Delivers Truly Random Numbers On Demand

2025-06-16
Quantum Mechanics Delivers Truly Random Numbers On Demand

Researchers at NIST and the University of Colorado Boulder have created CURBy, a public randomness beacon leveraging quantum entanglement. This system uses a Bell test to measure entangled photons, generating unpredictable, truly random numbers. Unlike classical pseudorandom number generators, CURBy's randomness is traceable and verifiable, secured by the Twine protocol for transparency and security. It provides a reliable source of randomness for applications like audits and lotteries. This breakthrough represents significant progress in applying quantum mechanics, establishing the first public random number service based on quantum nonlocality.

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Modernist Revival of Reverse Painting

2025-03-23
Modernist Revival of Reverse Painting

By the early 1900s, reverse painting, or tinsel painting in its American iteration, had fallen out of favor, considered a feminine craft and outdated. However, starting in the 1910s, artists like Marsden Hartley and Rebecca Salsbury James revitalized the technique, expanding on traditional themes and exploring new color palettes, lines, and spatial approaches, giving a modernist twist to this old craft. This coincided with similar work by Janoszanka in Poland, showcasing the power of artistic innovation to reinterpret traditional techniques.

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Archiving Computer History: A Personal Mirror Site

2025-01-06

An author, researching for a book on computer history, has created a personal mirror site archiving numerous historical web pages. Facing the frustrating reality of broken links, especially from the late 90s, the author painstakingly mirrors original sources, ensuring access to valuable information on Unix, Linux, BSD, Microsoft, Atari, and more. The site provides a reliable archive of pivotal moments and technologies in computing history, offering a rich resource for researchers and enthusiasts alike.

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Tech

The Infinite Tool Use Paradigm for LLMs

2025-05-25

This article proposes a novel paradigm for Large Language Models (LLMs): infinite tool use. The paradigm suggests that LLMs should only output tool calls and their arguments, breaking down complex tasks into a series of tool calls. This avoids the context window limitations and error accumulation problems traditional LLMs face when handling long texts and complex tasks. Through external tools (like text editors, CAD software, etc.), LLMs can perform multi-level text generation, 3D modeling, and more, effectively managing contextual information. This approach not only improves LLM efficiency and accuracy but also enhances safety, as models must use tools clearly to accomplish complex tasks, reducing deceptive outputs. Training relies primarily on reinforcement learning, leveraging the 'forgetfulness' of LLMs to address infinite context length challenges.

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Spreadsheet Showdown: A Head-to-Head Comparison of Nine Engines

2025-05-23
Spreadsheet Showdown: A Head-to-Head Comparison of Nine Engines

A late June 2024 survey assessed the capabilities of available spreadsheet software. The goal was to quantify the sophistication of each engine, considering feature set, formula and function support, calculation accuracy, and speed. Excel remains the de facto standard, though Google Sheets, GRID, and SpreadJS offer compelling alternatives. GRID excels in compatibility with both Excel and Sheets, while others (HyperFormula, jSpreadsheet, etc.) lag in features and accuracy. This comprehensive comparison highlights the strengths and weaknesses of each engine, offering valuable insights for users and developers alike.

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The Curious History of Pi: Why 3.14...? A Mathematical Debate

2025-03-13
The Curious History of Pi: Why 3.14...? A Mathematical Debate

This essay delves into the fascinating history of pi (π), exploring why we settled on 3.14... as its value instead of other related constants like 6.28.... From Archimedes in ancient Greece to Euler in the 18th century, mathematicians' understanding and representation of pi evolved, culminating in Euler's convention establishing 3.14... as the standard. The article also explores alternative pi values and proposes concepts like a 'Good Enough' Pi Day and Pi Meal, offering readers a blend of mathematical history and cultural reflection.

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Misc Euler

Viral Chromebook Challenge Sparks Fires and Chaos in US Schools

2025-05-09
Viral Chromebook Challenge Sparks Fires and Chaos in US Schools

Schools across the US are warning parents about a dangerous TikTok trend called the "Chromebook Challenge." Students are deliberately damaging school-issued Chromebooks by inserting objects into ports, causing short circuits, fires, and school evacuations. The trend has led to disciplinary actions and even legal consequences for students involved. One incident in Connecticut resulted in a student being hospitalized after smoke inhalation from a damaged Chromebook, leading to potential criminal charges.

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Luminal: A High-Performance Deep Learning Library with Search-Based Compilation

2025-08-20
Luminal: A High-Performance Deep Learning Library with Search-Based Compilation

Luminal is a deep learning library achieving high performance through search-based compilation. Its core is remarkably minimal, built upon just 12 primitive operations yet capable of supporting complex models like Transformers and convolutional networks. By aggressively fusing kernels and compiling shape-specific kernels at compile time, Luminal overcomes typical RISC limitations and automatically derives complex optimizations like Flash Attention. Its static compilation approach avoids runtime overhead, with Metal and CUDA support enabling fast execution on Macs and Nvidia GPUs. Significant performance gains have been demonstrated on models such as Llama 3 8B.

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Development

Skywater 130nm SerDes Design: High-Speed Communication Achieved

2025-06-18
Skywater 130nm SerDes Design: High-Speed Communication Achieved

This project details a high-speed Serializer/Deserializer (SerDes) circuit designed for high-speed communication. Implemented using Verilog HDL and synthesized with OpenLane on the Skywater OpenPDK 130nm process, the SerDes converts parallel data into a serial stream for transmission and back again at the receiver. The design includes a transmitter (using a chain of CMOS inverters as a driver), a receiver (employing a resistive feedback inverter and CMOS inverter for sensing and amplification), a D-flip-flop for data sampling, and an oversampling CDR for clock recovery. GDS, SPICE, and netlist files for all modules are provided.

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The Surprisingly Affordable Path to AI Productivity: A Cost Breakdown

2025-06-03
The Surprisingly Affordable Path to AI Productivity: A Cost Breakdown

The author shares their experience and cost analysis of using various AI tools, concluding that the $200/month Claude Max subscription offers the best value. Claude Max provides nearly unlimited access to Claude Code, one of the best terminal-based AI tools. While OpenAI's o3 model offers superior reasoning, its high cost can reach hundreds of dollars monthly. For budget-conscious users, the author recommends Repo Prompt, which enables o3 usage via a ChatGPT subscription. The ultimate conclusion highlights that the time saved by AI tools far outweighs their cost, especially for high-billing freelancers, making investing in AI a smart efficiency booster.

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Development cost analysis

Tokasaurus: A New LLM Inference Engine for High Throughput

2025-06-05
Tokasaurus: A New LLM Inference Engine for High Throughput

Stanford researchers released Tokasaurus, a novel LLM inference engine optimized for throughput-intensive workloads. For smaller models, Tokasaurus leverages extremely low CPU overhead and dynamic Hydragen grouping to exploit shared prefixes. For larger models, it supports async tensor parallelism for NVLink-equipped GPUs and a fast pipeline parallelism implementation for those without. On throughput benchmarks, Tokasaurus outperforms vLLM and SGLang by up to 3x. This engine is designed for efficient handling of both large and small models, offering significant performance advantages.

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Claude Sonnet 4: 1 Million Token Context Window!

2025-08-13
Claude Sonnet 4: 1 Million Token Context Window!

Anthropic has boosted Claude Sonnet 4's context window to a massive 1 million tokens—a 5x increase! This allows processing entire codebases (75,000+ lines of code) or dozens of research papers in a single request. The long context support is in public beta on the Anthropic API and Amazon Bedrock, with Google Cloud's Vertex AI coming soon. This unlocks powerful new use cases like large-scale code analysis, document synthesis, and context-aware agents. While pricing adjusts for prompts exceeding 200K tokens, prompt caching and batch processing offer cost savings. Early adopters like Bolt.new and iGent AI are already leveraging this enhanced capability for code generation and software engineering tasks.

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Snake Game in Four Integers: A Memory Minimization Challenge

2025-07-06

A developer took on the challenge of implementing a Snake game using only four integers (uint32_t*2, uint64_t, int8_t), cleverly packing game map, snake body, apple position, and direction into them. Macros are used extensively for bitwise operations, resulting in concise but less readable code. This project showcases extreme memory optimization at the cost of maintainability and readability. The code is open-source, and interested developers can try compiling and running it to experience this unique programming art.

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VC's AI-Powered Summer Hack: Building a Knowledge Base from Scratch

2025-09-02
VC's AI-Powered Summer Hack: Building a Knowledge Base from Scratch

A venture capitalist spent his summer break building a knowledge base platform using AI tools. Starting with a blank page, he leveraged LLMs, Telegram bots, and various APIs (Supabase, Orq.ai, etc.) to create a system for aggregating information and extracting insights. He even used AI for UI design. While facing challenges with technical debt and AI limitations, he successfully built a functional prototype, gaining valuable experience in the process. The project aimed to improve efficiency, personalization, and collaboration within his firm.

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Startup VC Tech

Benchmarking Distributed Caches: Memcache, Redis, Valkey, Dragonfly, and Garnet

2025-07-15
Benchmarking Distributed Caches: Memcache, Redis, Valkey, Dragonfly, and Garnet

This study performs a comprehensive benchmark of five distributed caches: Memcache, Redis, Valkey, Dragonfly, and Garnet. Metrics include throughput, latency, and CPU cycles. The testing environment uses an AWS c8g.8xlarge instance and the memtier_benchmark tool, varying pipeline sizes (1, 10, 25, 50). Results reveal performance differences across various metrics, aiding developers in selecting the optimal cache for their application needs. The two-week long benchmark included 15,000 individual runs.

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Development distributed cache

Software Research: The Myth of the 100x Bug Cost and the Lack of Empirical Evidence

2025-06-01
Software Research: The Myth of the 100x Bug Cost and the Lack of Empirical Evidence

An article examining the cost of fixing software bugs debunks a long-held myth: that fixing bugs gets exponentially more expensive over time. This myth stems from a non-existent IBM study. In reality, existing research offers weak support for this claim, with some studies showing no significant difference in resolution times. The article calls for a greater emphasis on empirical software engineering research, highlighting the importance of code reviews, short iteration cycles, and feedback loops, while criticizing academia's tendency to prioritize theory over practice.

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Development empiricism

Knight Ride: A Strategic Chess-like Puzzle

2025-04-01

Knight Ride is a strategic puzzle game where you guide a knight to a target square within a limited number of moves. Earn points for speed, avoiding attacks, and capturing opponent pieces. Capturing pieces awards extra moves and points (Pawn: 1, Knight/Bishop: 3, Rook: 5, Queen: 9). Capture streaks yield bonus points. Moving to an attacked square costs a point, and capturing all pieces doubles your score. Run out of moves, and it's game over!

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Game

A Deep Dive into Compression Algorithms: From DEFLATE to ZSTD

2025-01-23

While building MonKafka, a Kafka Broker implementation, the author delved into the four compression algorithms supported by Kafka: GZIP, Snappy, LZ4, and ZSTD. The article provides a detailed explanation of these algorithms, covering lossless and lossy compression, run-length encoding, Lempel-Ziv algorithms, Huffman coding, and a deep dive into the DEFLATE algorithm's implementation, including LZ77, Huffman coding, and hash tables. Furthermore, it compares the performance of Snappy, LZ4, and ZSTD, and briefly introduces arithmetic coding and FSE. The author concludes by summarizing the core concept of compression algorithms: removing data redundancy, reducing entropy, and extracting information.

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Ignoring Near Misses: A Hidden Risk for Tech Companies

2025-02-08
Ignoring Near Misses: A Hidden Risk for Tech Companies

FAA data reveals 30 near-misses at Reagan Airport. This article argues that tech companies often prioritize preventing major incidents, overlooking the numerous near-misses that could escalate. Near misses, precursors to significant incidents, are frequently ignored due to their zero impact. The author advocates treating near misses as seriously as major incidents, creating mechanisms to identify and analyze them proactively. This requires a cultural shift, encouraging reporting and analysis to improve reliability.

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Colorado Springs' Top-Rated Restaurants: A Comprehensive List

2025-02-17
Colorado Springs' Top-Rated Restaurants: A Comprehensive List

This list compiles reviews from numerous restaurants in Colorado Springs, offering a diverse culinary landscape from authentic Cuban food to Thai cuisine. Arelita Authentic Cuban Food takes the top spot with a 5-star rating and 262 reviews, while other establishments like Starving and Manitou Baked also garner high praise. This list provides a wide array of options for diners to explore based on their preferences and tastes.

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Unordered Rooted Ternary Trees: A Sage-Powered Combinatorial Adventure

2025-04-08
Unordered Rooted Ternary Trees: A Sage-Powered Combinatorial Adventure

This blog post tackles the challenging problem of counting unordered rooted ternary trees using analytic combinatorics, specifically the Flajolet-Sedgewick method. The author first solves the simpler case of ordered trees, deriving an asymptotic approximation via generating functions and singularity analysis, all implemented and verified in Sage. The more complex unordered case is then addressed using Pólya-Redfield counting, leading to a numerical solution and asymptotic formula, again validated with Sage. The post provides a clear and engaging explanation of complex analysis concepts such as Puiseux series and offers readily usable Sage code, making it a valuable resource for those interested in the intersection of algorithms and mathematics.

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Verona's Process-Based Sandbox: Securely Running Untrusted Code

2025-02-10
Verona's Process-Based Sandbox: Securely Running Untrusted Code

This project details a process-based sandbox mechanism for Verona, designed to safely execute untrusted external code. Leveraging process isolation, it requires no OS modifications, running untrusted libraries in a shared memory region and communicating with a trusted parent process via a carefully designed IPC. The mechanism supports callbacks and system call emulation, ensuring parent process safety; even if compromised, the sandbox cannot access parent memory or system resources. Currently supporting Capsicum and seccomp-bpf sandboxing technologies, the project aims to improve efficiency and compatibility.

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Development sandbox
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