Research news and analysis on Web Pulse: 583 curated articles tracking the latest Research developments, tools, and research, updated continuously from vetted sources.
The article explains that the Pentium processor uses microcode, a layer of software underneath machine instructions, to control its circuitry. The Pentium's microcode ROM contains 4,608 micro-instructions, each 90 bits l…
The article discusses the rediscovery and recreation of the 1855 New York and Erie Railroad organizational diagram, one of the first org charts in American business. Designed by superintendent Daniel McCallum and drawn b…
Nicholas Carlini argues that advanced AI systems pose significant societal risks precisely because they are designed for "ruthless efficiency." He outlines a spectrum of concerns, from current harms like student over-rel…
The provided text contains a Python script for a "white-box LLM jailbreak" technique that uses weight orthogonalization. The script loads harmful and harmless instruction datasets, extracts hidden states from the model's…
In a 2025 blog post, researcher Nicholas Carlini argues that the future of large language models is highly uncertain, with two plausible but opposing outcomes. He suggests that within three to five years, these models co…
Nicholas Carlini announced he is leaving Google DeepMind after seven years to join Anthropic for one year, citing disagreements with DeepMind leadership over its support for high-impact security and privacy research. He …
The article discusses a challenge with implementing UART communication in FPGAs when the system clock frequencies are not integer multiples of the desired baud rate, leading to imprecise timing and errors. The author pre…
This project digitally recreates Moses Harris's 18th-century "Prismatic" and "Compound" color wheels, including new dark-paper versions and freely downloadable color codes. Six posters were produced, featuring light and …
In a 2025 article, Nicholas Carlini asked readers to make 30 forecasts about AI in 2027 and 2030, requiring them to give 90% confidence intervals rather than point estimates. Analyzing the responses, he found that most p…
Creation of a multi-modal lie detection system called "Liar Ai," which uses neurosymbolic AI, recursive reasoning, and reinforcement learning to analyze facial expressions, vocal stress, and linguistic cues in real time.…
Adversarial examples—images with subtle, human-imperceptible noise—that trick a vision language model (Llava 7B) into misidentifying the Xfinity logo as a hate symbol. The process uses gradient ascent to modify pixel val…
Nicholas Carlini describes a project where he uses a different large language model (LLM) each day for twelve days to completely rewrite his personal website homepage and bio. He prompts each model to generate a webpage …
Experiment evaluating the AI coding assistant Windsurf on a complex, real-world task: implementing a group ID feature in Microsoft's RSL (Replicated State Library), a 7,500+ line codebase used in Azure. The experiment fo…
Many people hold overly confident but vague predictions about AI's future, which are often proven wrong. To address this, author Nicholas Carlini presents a set of about 30 specific, refutable questions about AI capabili…
The article describes the memory system of the GBATang, an FPGA-based Game Boy Advance (GBA) core, which combines FPGA block RAM and external SDRAM to replicate the GBA's diverse memory map. Smaller, low-latency memories…
Large language models (LLMs) are not overhyped, citing a year of consistent personal use that has made them 50% faster at coding. They provide concrete examples of using LLMs to build webapps, convert code, automate task…
The article discusses the "Y292B bug," a future overflow issue in Unix time where a signed 64-bit integer used in Linux will roll over in approximately 292 billion years, causing the date to jump back billions of years b…
This article provides a curated list of study resources for the GATE Data Science & Artificial Intelligence (DA) exam. It recommends foundational mathematics from NCERT Class 11 and 12 textbooks, along with advanced vide…
The article, written by a FAANG machine learning scientist without a CS degree or PhD, advises that entry-level ML jobs typically require only two graduate-level courses (like Stanford's CS 229 and CS 224n/231n) alongsid…
The article discusses Automated Audio/Music Transcription (AAT/AMT), which converts audio into MIDI data. It highlights **NeuralNote**, a deep learning audio plugin that performs fast, polyphonic transcription with pitch…