Wednesday March 5, 2025

Anthropic's valuation skyrockets to $61.5B in funding round, AI's water footprint is projected to reach billions of cubic meters by 2027, and ANON KODE emerges as a versatile terminal-based AI coding tool.

News

Show HN: Time travel debugging AI for more reliable vibe coding

The platform, called Nut, offers tools to help developers fix tough bugs and get their apps working correctly. It provides various features such as importing chats, folders, and Git repositories, as well as templates for building specific projects like todo apps, blogs, and games.

Microsoft's new Dragon Copilot is an AI assistant for healthcare

Microsoft has announced Dragon Copilot, an AI assistant for healthcare that can listen to and create notes based on clinical visits, using voice-dictating and ambient listening technology. The system aims to streamline documentation and automate tasks, freeing clinicians from administrative burdens and allowing them to focus on patient care.

Writing an LLM from scratch, part 8 – trainable self-attention

The author is working through Sebastian Raschka's book "Build a Large Language Model (from Scratch)" and blogging about their progress, currently covering section 3.4 on implementing self-attention with trainable weights. The author provides a high-level overview of how GPT-type decoder-only transformer-based language models work, including tokenization, embedding, self-attention, and context vector generation, before diving into the specifics of scaled dot product attention.

AI: Where in the Loop Should Humans Go?

The current state of AI is characterized as "charismatic technology" that under-delivers on its promises, but its potential is still driving rapid adoption. To effectively evaluate AI solutions, it's essential to consider the context gap between human and machine capabilities, and ask critical questions such as whether the tool is augmenting human abilities or simply automating tasks, and whether it's helping build understanding or turning users into mere monitors.

Anthropic's valuation triples to $61.5B in bumper AI funding round

Anthropic's valuation has tripled to $61.5 billion after a significant AI funding round. The article about this development is available to subscribers of the Financial Times, with options to access the content starting at $1 for a 4-week trial.

Research

Making AI Less Thirsty: Uncovering and Addressing the Secret AI Water Footprint

The water footprint of artificial intelligence, including the large amounts of freshwater used to train models like GPT-3, has gone largely unnoticed despite its significant impact, with global AI demand projected to account for 4.2-6.6 billion cubic meters of water withdrawal in 2027. To address this issue, a methodology to estimate the water footprint of AI is needed, and it is essential to consider both water and carbon footprints to enable truly sustainable AI.

The Widespread Adoption of Large Language Model-Assisted Writing Across Society

The adoption of large language models (LLMs) for writing has surged since the release of ChatGPT in November 2022, with significant usage found in consumer complaints, corporate communications, job postings, and international organization press releases. By late 2024, LLM-assisted writing accounted for roughly 18% of financial consumer complaints, up to 24% of corporate press releases, nearly 10% of job postings, and nearly 14% of UN press releases, with growth stabilizing by 2024.

Translating natural language to first-order logic for logical fallacy detection

The Natural Language to First-Order Logic (NL2FOL) framework translates natural language into formal language, addressing challenges such as integrating implicit background knowledge, and enables logical reasoning and validation using Satisfiability Modulo Theory (SMT) solvers. NL2FOL demonstrates strong performance in logical fallacy detection, achieving F1-scores of 78% and 80% on the LOGIC and LOGICCLIMATE datasets, respectively, without requiring model fine-tuning or labeled training data.

The Impact of Google's Manifest Version 3 Update on Ad Blocker Effectiveness

Google's update to manifest version 3 (MV3) for Chrome browser extensions has raised concerns that it may reduce the effectiveness of ad blockers due to new restrictions. However, a study comparing MV3 to MV2 instances of four popular ad blockers found no significant reduction in ad-blocking or anti-tracking effectiveness, and in some cases, MV3 instances even performed slightly better at blocking trackers.

A Proof of the Collatz Conjecture

This paper presents a new fixed point theorem in metric spaces and applies it to prove the truth of the Collatz conjecture. The authors utilize their fixed point theorem to demonstrate the validity of the Collatz conjecture, a longstanding problem in mathematics.

Code

Show HN: Fork of Claude-code working with local and other LLM providers

ANON KODE is a terminal-based AI coding tool that can utilize any model supporting the OpenAI-style API to fix code, explain functions, and run tests. It can be installed and used by running npm install -g anon-kode and kode in the terminal, with models configurable through onboarding or manual setup.

Show HN: ArchGW – An open-source intelligent proxy server for prompts

Arch is an intelligent proxy designed for agentic applications, allowing users to protect, observe, and build tasks by connecting existing APIs, with features such as intent-based prompt routing, prompt guardrails, and observability. It is engineered with purpose-built large language models (LLMs) to handle critical tasks and is built on top of Envoy, a proven HTTP management and scalability platform.

Show HN: Scholium, Your Own Research Assistant

Scholium is an AI agent that helps researchers find and cite relevant scholarly papers in seconds, saving time and effort by providing instant citations in various styles and summarizing papers. The platform aims to expand its capabilities, including accessing more databases, adding citation styles, and introducing features like bibliography management and community forums for discussing and sharing papers.

SpeciesNet: AI models to classify species from motion-triggered widlife cameras

SpeciesNet is an ensemble of AI models that classifies wildlife in camera trap images, combining an object detector and an image classifier to recognize species. The ensemble can be run using a Python package, with options to use geographic information to filter predictions and utilize NVIDIA GPUs for accelerated processing.

Show HN: We Built Open-Source Alternative to OpenAI's Operator, Runs in Chrome

Nanobrowser is a free, open-source AI web automation tool that runs in your browser, offering a flexible and privacy-focused alternative to paid services like OpenAI Operator. It features a multi-agent system, interactive side panel, and support for multiple large language models, allowing users to automate complex web workflows and tasks with ease.