HackerRank open sourced its ATS. My resume scored 90/100. Oh wait 74. No – 88
from danunparsed.com
502
by
sambellll
9h ago
|
|
|
Article:
9 min
An article discussing the open-source ATS tool from HackerRank, which evaluates resumes using AI and LLMs, leading to inconsistent results due to non-determinism issues.
- The ATS tool scores resumes out of 100, with up to 20 bonus points.
- Scores vary significantly even for the same resume, depending on the AI model's output.
- Technical skills are scored consistently as they can be easily checked against a checklist.
- Projects and experience sections show high variability due to AI difficulty in making consistent judgments.
Quality:
The article provides a balanced view of the ATS tool's capabilities and limitations.
Discussion (193):
25 min
The comment thread discusses the use of AI in human resource management, specifically an automated resume evaluation system. Opinions are mixed regarding its effectiveness and fairness, with concerns raised about bias, optimization strategies for resumes, and the potential for AI to replace human judgment.
- ATS systems are flawed and biased
- Optimizing resumes for ATS may not be effective
Counterarguments:
- ATS systems can help filter out bad candidates efficiently
- Optimizing resumes for ATS may improve chances of getting noticed
AI
Artificial Intelligence, Machine Learning
GLM 5.2 beats Claude in our benchmarks
from semgrep.dev
876
by
jms703
17h ago
|
|
|
Article:
16 min
Semgrep's benchmark reveals that GLM 5.2, an open-weight model from Zhipu AI, outperforms Claude Code with a 39% F1 score on IDOR detection, surpassing Claude Code by seven points and costing roughly $0.17 per vulnerability found.
- GLM 5.2 is an open-weight model from Zhipu AI.
- GLM 5.2 costs roughly $0.17 per vulnerability found, making it cost-effective for large-scale use.
Quality:
The article provides clear, unbiased information on the benchmark results and their implications.
Discussion (404):
1 hr 12 min
The discussion revolves around the capabilities and cost-effectiveness of AI models, particularly GLM-5.2, in comparison to other models like GPT and Opus. There is a consensus on GLM-5.2's utility for daily programming tasks, with users praising its performance and cost-efficiency. However, there are concerns about the potential impact of US export restrictions on Chinese AI models and skepticism regarding their capabilities compared to other models.
- GLM-5.2 is a good workhorse model for daily programming tasks.
- Open-source models can be cost-effective and perform well.
Counterarguments:
- There's a perception that Chinese AI models may not perform as well on benchmarks compared to other models.
- Skepticism about the capabilities of these models, particularly regarding their security features.
AI
Artificial Intelligence, Machine Learning
Dissecting Apple's Sparse Image Format (ASIF)
from schamper.dev
87
by
supermatou
18h ago
|
|
Article:
54 min
The article details the reverse engineering process of Apple's Sparse Image Format (ASIF), a new disk image format introduced in macOS 26 Tahoe, focusing on its structure and functionality.
- ASIF is designed for use with virtual machines and takes inspiration from existing formats like VMDK, VHDX, and QCOW2.
- The author created a test file using the provided command in Apple's documentation to understand ASIF's structure.
- Through hexdumps and binary analysis, the author identified key fields such as header signature, version, size, flags, directory offsets, sector count, max sector count, chunk size, block size, total segments, metadata chunk, and read-only flags.
- The article explains how to interpret ASIF's header structure, including the allocation of data entries into tables and groups, with each group followed by a bitmap for efficient storage and retrieval.
Quality:
The article provides detailed insights into the reverse engineering process, making it a valuable resource for those interested in file formats and binary analysis.
Discussion (9):
The user is inquiring about the differences between ASIF and Qcow2, as well as discussing their experience with copying applications from a disk image to the macOS Applications folder.
- ASIF does something Qcow2 doesn't
- Why is copying an app from dmg to /Applications slow
Computer Science
Reverse Engineering, File Formats
NUMA: Cores, memory, and the distance between them
from edera.dev
32
by
sys_call
4d ago
|
|
Article:
40 min
The article discusses the concept of NUMA (Non-Uniform Memory Access) in computer architecture, explaining its historical background, how it evolved from UMA (Uniform Memory Access), and its relevance in modern commodity servers. It also delves into the complexities introduced by multi-core processors and large memory controllers within a single socket, leading to the need for understanding and managing NUMA topologies.
- Explanation of UMA and its limitations
- Introduction of NUMA in commercial systems
- Impact of multi-core processors on memory access costs
- Use of interleaving to flatten cost curve
- Importance of understanding CPU and memory affinities
Quality:
The article provides a detailed and technical explanation of NUMA, making it suitable for IT professionals but may be challenging for general readers.
Discussion (3):
More comments needed for analysis.
Computer Science
Computer Architecture
Age verification is just a precursor to automated attribution of speech
from nonogra.ph
533
by
arkhiver
7h ago
|
|
|
Article:
4 min
The article discusses how 'age verification' regulations being implemented by various governments are a precursor to automated attribution of speech, potentially leading to increased surveillance and control over digital identities.
- Introduction of 'age verification' regulations in multiple countries.
- Linking digital identities to physical identities for law enforcement purposes.
- Concerns over the potential for automated attribution of speech leading to increased surveillance.
Quality:
The article presents a strong opinion with some factual information but lacks sources for verification.
Discussion (304):
1 hr 2 min
The comment thread discusses various opinions regarding age verification for social media access, with concerns about control, surveillance, and privacy. Arguments are made against centralized platforms and in favor of decentralized alternatives. The debate is intense but not overly hostile, with a mix of factual statements and personal opinions.
- Age verification is designed to attribute identity to online presence, leading to control and surveillance.
- The internet needs new decentralized spaces that are less influenced by governments.
- Social media age verification is an excuse for restricting citizens' rights.
Counterarguments:
- Age verification could be implemented in a way that preserves anonymity.
- Decentralized spaces may not scale or provide sufficient protection against online harms.
Privacy
Digital Privacy, Surveillance
We found a bug in the hyper HTTP library
from blog.cloudflare.com
68
by
Pop_-
4d ago
|
|
|
Article:
32 min
Cloudflare discovered and fixed an intermittent bug in the hyper HTTP library that caused partial image data transmission issues. The issue was resolved by ensuring proper flushing of response data before shutting down the connection.
- Timing-dependent issue found using kernel-level tooling (strace)
- Fix applied to prevent response data loss
Quality:
The article provides detailed technical insights without overly sensationalizing the issue.
Discussion (13):
3 min
The comment thread discusses the issue of Cloudflare sending broken responses at scale, questioning why they didn't notice it sooner and debating whether the code in question is terrible or not. The conversation also touches on the complexity of asynchronous Rust programming and the role of linters in detecting issues.
- Cloudflare should have noticed the issue sooner
- Code with return value discarding should be flagged by a linter
Counterarguments:
- Cloudflare turned on a linter but ignored 10k warnings at max checks
- The decision to discard `Result<(), Error>` should have been intentional
Software Development
Web Development, Networking
Historical memory prices 1960-2026
from dam.stanford.edu
318
by
vga1
16h ago
|
|
|
Article:
6 min
An interactive dataset provides historical and current memory and storage prices for DRAM, NAND flash, and HBM, along with breakdowns of accelerator costs across different components.
- Interactive dataset with downloadable raw data
- Price per gigabyte over time for different memory types
- Breakdown of accelerator costs by component
Quality:
The dataset is comprehensive and well-sourced, with clear methodology noted in the caveats section.
Discussion (115):
16 min
The comment thread discusses various opinions on memory pricing trends over time, focusing on the use of a logarithmic scale and inflation's impact. Participants debate whether memory prices per GB are a useful metric and share insights into historical pricing data. The conversation is moderately intense with some disagreement but overall maintains a neutral sentiment.
- The graph is misleading due to the use of a logarithmic scale.
- Memory prices per GB were cheaper in 2012 when adjusted for inflation.
Data
Data Science, Data Center
Why did this journal retract two 1940s papers by Max Planck?
from arstechnica.com
135
by
DR_MING
2h ago
|
|
Article:
9 min
A pair of historians discovered that a scientific journal had retracted two papers by Max Planck from the 1940s due to copyright violation, despite no issues with the actual content. The retractions are believed to be a result of misunderstanding or ignorance of past publication practices.
- The papers themselves have no scientific issues, only philosophical reflections on the nature of scientific knowledge.
Quality:
The article provides factual information without expressing personal opinions.
Discussion (6):
Comment analysis in progress.
Science
Physics, History of Science