How I use Claude Code: Separation of planning and execution
from boristane.com
501
by
vinhnx
9h ago
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Article:
24 min
The article discusses a unique development workflow using Claude Code, focusing on separating planning from execution to prevent errors and improve results.
This workflow could lead to more efficient and error-free code development, potentially increasing productivity in the software industry.
- Deep reading and research before any coding begins.
- Detailed plan creation, annotation, and refinement with AI assistance.
- Single long session for research, planning, and implementation.
Discussion (307):
1 hr 32 min
The comment thread discusses various approaches to using AI in software development, focusing on planning and execution workflows. Users share personal workflows involving detailed planning documents, annotations for iterative refinement, and structured processes to manage complexity. There is a consensus on the effectiveness of these practices, with some expressing skepticism about their novelty or suggesting they are not significantly different from established standards.
- The use of AI in software development is evolving with the introduction of new tools and techniques.
- Planning and execution workflows are widely adopted for managing complexity and ensuring quality.
Counterarguments:
- Some users express skepticism about the novelty of certain approaches or suggest that they are not significantly different from established practices.
Software Development
AI in Software Development, Coding Tools
Japanese Woodblock Print Search
from ukiyo-e.org
90
by
curmudgeon22
6h ago
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Article:
Ukiyo-e Search is an innovative tool that enables users to search for Japanese woodblock prints by photographing them and finds similar prints from various collections.
This technology could enhance accessibility to art history resources, making it easier for people to appreciate and learn about Japanese woodblock prints from diverse collections worldwide.
- Displays similar prints across collections
Quality:
The article provides clear information about the tool without bias.
Discussion (15):
The comment thread discusses the creation and value of a website dedicated to Japanese prints, created by John Resig. The community appreciates its usefulness as an information resource and acknowledges the effort put into its development.
- The site was created by John Resig
Art
Digital Arts, Art History
How Taalas "prints" LLM onto a chip?
from anuragk.com
111
by
beAroundHere
14h ago
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Article:
7 min
Taalas, a startup, has developed an ASIC chip that runs Llama 3.1 8B at an inference rate of 17,000 tokens per second, claiming it is more cost-effective and energy-efficient than GPU-based systems.
The development of specialized hardware like Taalas's chip could lead to more efficient and cost-effective AI inference, potentially democratizing access to advanced AI models for businesses and individuals.
- 10x cheaper ownership cost than GPU-based systems
- 10x less electricity consumption
Discussion (48):
8 min
The comment thread discusses an innovative computing technique called 'single transistor multiply' which integrates compute and memory closely. The discussion includes opinions on its potential benefits, challenges, and comparisons with traditional methods. There is a mix of technical insights, speculations, and questions about the technology's feasibility, attention from larger companies, and its integration into existing systems.
- The single transistor multiply is intriguing.
Counterarguments:
- The document referenced in the blog does not say anything about the single transistor multiply.
- However, [1] provides the following description: 'Taalas’ density is also helped by an innovation which stores a 4-bit model parameter and does multiplication on a single transistor, Bajic said (he declined to give further details but confirmed that compute is still fully digital).'
AI
AI Hardware, AI Inference
A Botnet Accidentally Destroyed I2P
from sambent.com
101
by
Cider9986
8h ago
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Article:
2 min
A botnet mistake caused a significant disruption to the I2P anonymity network in 2026.
- I2P anonymity network was flooded with 700,000 hostile nodes.
- Attack identified as the Kimwolf botnet mistake.
- I2P development team responded by shipping version 2.11.0 with post-quantum cryptography and additional Sybil mitigations.
Quality:
The article provides factual information without expressing personal opinions.
Discussion (56):
7 min
The comment thread discusses various aspects of cybersecurity news related to I2P and botnets. Opinions vary on the quality of AI-generated content, state-sponsored cyber attacks, and the effectiveness of post-quantum encryption against Sybil attacks. There is a debate about the vulnerabilities of anonymity networks and the challenges in managing illegal activities on platforms like Discord.
- I2P allows government dissidents to communicate without oversight
- State-sponsored attacks are expected in February due to Chinese holiday period
- Botnet operators should not try to survive such attacks, better to shut down and return once the attacker has moved on
- Discord servers for botnets are difficult to detect and manage
Counterarguments:
- The article is AI-generated: This answer is missing the key 'regularity' part of their questions, which I would love to know more about
- Botnet operators should not try to survive such attacks, better to shut down and return once the attacker has moved on: Why would an attacker move on if it can maintain a successful DoS attack forever
Cybersecurity
Network Security, Botnets, Anonymity Networks
Show HN: Llama 3.1 70B on a single RTX 3090 via NVMe-to-GPU bypassing the CPU
from github.com/xaskasdf
238
by
xaskasdf
12h ago
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Article:
9 min
NTransformer is a high-efficiency C++/CUDA LLM inference engine that runs the Llama 70B model on a single RTX 3090 GPU by streaming model layers through GPU memory via PCIe, with optional NVMe direct I/O bypassing the CPU. It supports various quantization formats and features adaptive caching for optimized performance.
This technology could significantly reduce the computational resources required for large language model inference, potentially leading to more accessible AI solutions and lower costs in the industry.
- Uses NVMe-to-GPU bypassing the CPU for direct I/O
- Supports Q4_0, Q8_0, Q4_K_M, Q6_K, F16, and F32 quantization formats
Discussion (57):
12 min
The comment thread discusses an innovative project that demonstrates running transformer models directly from NVMe storage onto GPUs, bypassing CPUs and RAM. Participants debate its performance implications for different use cases, hardware configurations, and cost-effectiveness.
- The project demonstrates innovative use of GPU-direct technology to bypass CPU/ram for running transformer models
- Performance is slow on consumer GPUs but better on professional ones
Counterarguments:
- Some argue that the cost of running the models locally outweighs the benefits, especially for interactive use cases
- Others suggest that the current batch processing might not fully leverage the potential of the hardware setup
AI
Machine Learning, AI Inference Engines
Two Bits Are Better Than One: making bloom filters 2x more accurate
from floedb.ai
90
by
matheusalmeida
4d ago
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Article:
19 min
The article discusses the optimization of Bloom filters, a probabilistic data structure used to quickly check if an element is in a set without false negatives but potentially with false positives. The authors explain how they improved their implementation by using two bits instead of one per hash function, resulting in a 2x reduction in false positives while maintaining low computational overhead.
The optimization of Bloom filters can lead to more efficient data processing and storage, potentially reducing the computational resources required for large-scale databases and improving overall system performance.
- Maintained low computational overhead
Discussion (15):
4 min
The comment thread discusses the concept of block bloom filters, their advantages over traditional Bloom filters in terms of cache locality, and the use of a single hash function for indexing. There is debate on the clarity of explanations provided in an article about this topic, as well as suggestions for improvements such as better literature review and more efficient implementation techniques.
- Block bloom filters solve cache locality issues
- Single hash function can be used for indexing
Counterarguments:
- The article could have been clearer
- Use of atomics is confusing
Computer Science
Data Structures, Algorithms, and Optimization
How far back in time can you understand English?
from deadlanguagesociety.com
527
by
spzb
3d ago
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Article:
44 min
This article explores how English language has evolved over a thousand years by compressing it into a single blog post, showcasing changes in spelling, grammar, vocabulary, and pronunciation from 2000 down to 1000 AD.
- 1000-2000 AD language compression
- Performative writing styles for different eras
- Language barriers as a narrative device
Quality:
The article provides a detailed analysis of the language changes, supported by historical references and examples.
Discussion (279):
1 hr 1 min
Participants share their experiences and insights into comprehending written texts from different historical periods, highlighting the evolution of English language over time. The discussion covers personal challenges, comparisons between languages, and predictions about future linguistic changes.
- The English language has evolved significantly over time, affecting its comprehension and spelling.
Counterarguments:
- Some argue that modern English pronunciation has diverged significantly, making it challenging for speakers of other languages or older dialects to understand.
Language & Linguistics
English Language History, Historical Writing Styles
Evidence of the bouba-kiki effect in naïve baby chicks
from science.org
126
by
suddenlybananas
11h ago
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Article:
An article discussing a study that found evidence of the bouba-kiki effect in baby chicks, suggesting innate human-like perception in animals.
- Bouba-kiki effect observed in baby chicks
Discussion (36):
4 min
The comment thread discusses a preprint related to the advancement of civilization, language arbitrariness, and cognitive processes. Opinions vary on the significance of certain quotes and concepts, with some agreeing while others disagreeing.
- Advancement of civilization is linked to scientific education and intellectual freedom
Counterarguments:
- Language being arbitrary labels
Science
Psychology, Animal Behavior
Parse, Don't Validate and Type-Driven Design in Rust
from harudagondi.space
185
by
todsacerdoti
13h ago
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Article:
43 min
The article discusses the concept of 'Parse, Don't Validate' and Type-Driven Design in the context of Rust programming language. It advocates for using parsing to encode invariants at compile time instead of validation functions, which can only detect errors at runtime. The author introduces examples such as handling division by zero with NonZeroF32 type and validating function parameters with newtypes like NonEmptyVec. The article also highlights the benefits of pushing validation forward to the user and using types for encoding invariants.
By promoting the use of Rust's type system to encode invariants at compile time, this article could influence software development practices, leading to more robust and maintainable codebases. It may also encourage developers to explore newtype patterns for validation, potentially reducing runtime errors and improving overall application reliability.
- Avoiding runtime errors with compile-time checks
- Newtype patterns for encoding invariants
- Advantages of using types over validation functions
Quality:
The article provides clear examples and explanations, avoiding overly technical jargon for a broad audience.
Discussion (45):
10 min
The discussion revolves around the 'Parse, Don't Validate' principle and its implications in statically typed languages. Users share insights on related concepts like dependent typing, abstract datatypes, and newtype patterns, while also discussing practicality versus theoretical purity in code design.
- The principle of 'Parse, Don't Validate' is best embodied by functions that transform untrusted data into a type which is correct by construction.
Counterarguments:
- Criticism regarding the practicality and theoretical purity of certain approaches.
Programming
Rust Programming Language, Type System, Design Patterns