AI helps unravel a cause of Alzheimer’s and identify a therapeutic candidate

Researchers at the University of California San Diego have discovered that a gene called PHGDH, previously recognized as a biomarker for Alzheimer's disease, is actually a cause of the disease due to its previously unknown secondary function. The team used artificial intelligence to uncover PHGDH's role in disrupting gene expression in the brain, and identified a potential treatment, a small molecule inhibitor called NCT-503, that can reduce symptoms of Alzheimer's disease by targeting PHGDH's secondary function.

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TmuxAI: AI-Powered, Non-Intrusive Terminal Assistant

TmuxAI is a non-intrusive terminal assistant that works alongside users in a tmux window, observing their screen and providing context-aware help and suggestions. It offers features such as zero-configuration setup, universal terminal compatibility, and open-source availability, allowing users to work more efficiently and effectively in their terminal environments.

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AI Coding assistants provide little value because a programmer's job is to think

Written code is a poor representation of a running program, as it often lacks context and information about its execution environment, dependencies, and potential issues, making it difficult to reason about its behavior. This limitation is particularly problematic with AI-generated code, which can produce code that looks correct but is often flawed, requiring manual verification and potentially leading to lower quality and maintainability.

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GPU Price Tracker

The text provides a comprehensive list of various NVIDIA GPUs, including their current market prices, specifications, and performance metrics. The list includes a range of GPUs, from high-end models like the NVIDIA GeForce RTX 5090 to more budget-friendly options like the NVIDIA GeForce RTX 4060 Ti, with prices varying from under $700 to over $28,000. The performance metrics, such as floating point operations per watt (FL/Watt) and per dollar (FL/$), are also provided to help compare the value and efficiency of each GPU.

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Unauthorized Experiment on CMV Involving AI-Generated Comments

The University of Zurich conducted a four-month experiment on the r/changemyview subreddit, using AI-generated comments from dozens of accounts to try to change users' minds, without disclosing the experiment to the community. The experiment involved creating fake personal anecdotes and personas, which the moderators and users strongly object to, citing concerns about psychological manipulation, deception, and the violation of community rules and trust.

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Sparks of Artificial General Intelligence: Early Experiments with GPT-4 (2023)

Researchers investigated an early version of OpenAI's GPT-4 model, finding it exhibits general intelligence capabilities that surpass previous models, with human-level performance in tasks spanning mathematics, coding, and more. The model's breadth and depth of capabilities suggest it could be viewed as an early, albeit incomplete, version of an artificial general intelligence system, with implications for future research and societal influences.

ArXiv

Do Large Language Models know who did what to whom?

Large Language Models (LLMs) can extract thematic roles, such as who did what to whom in a sentence, but this information has a weaker influence on their representations compared to humans. While LLMs' sentence representations reflect syntactic similarity, they do not strongly capture thematic roles, although some attention heads within the models are able to robustly identify this information independently of syntax.

ArXiv

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models

This work proposes a novel fine-tuning paradigm that optimizes large language models for inference-time performance, using the Best-of-N inference strategy where a verifier selects the best response from a set of generated options. The proposed methods, which include imitation learning and reinforcement learning, demonstrate improved performance and inference-time compute efficiency, achieving significant gains in benchmark tests such as Hendrycks MATH and HumanEval.

ArXiv

Base64 encoding and decoding at almost the speed of a memory copy (2019)

Standard base64 encoding uses 64 ASCII characters to represent images or executable code in text-only document formats, and researchers have developed a method to encode and decode base64 data at high speeds using the AVX-512 SIMD instruction set. This implementation generates fewer instructions than previous methods and can be adapted to any base64 variant, making it more versatile and efficient.

ArXiv

Apple Conformer-Based Speech Recognition on Extreme Edge-Computing Devices

Researchers have developed methods to implement automatic speech recognition (ASR) on resource-constrained devices like smartphones and smart wearables without sacrificing accuracy, achieving over 5 times faster than real-time speech recognition. The proposed techniques, which include model architecture adaptations and numerical optimizations, can also be applied to other AI applications and provide a foundation for stable and efficient on-device processing.

ArXiv

Show HN: SemHash – Semantic Text Deduplication, Outlier Filtering and Sampling

SemHash is a lightweight tool for deduplicating datasets, filtering outliers, and finding representative samples using semantic similarity, combining fast embedding generation and efficient ANN-based similarity search. It supports single-dataset and multi-dataset deduplication and filtering, and works with simple and complex datasets, including text lists and multi-column QA datasets.

Repo

Meetily-A free and open source AI-Powered Meeting Assistant

Meetily is an AI-powered meeting assistant that captures live meeting audio, transcribes it in real-time, and generates summaries while ensuring user privacy. The open-source solution offers a range of features, including local processing, cost-effectiveness, flexibility, and customizability, making it suitable for teams who want to focus on discussions while automatically capturing and organizing meeting content.

Repo

A DevOps Diss Track (lyrics by me, rapped by AI)

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Repo

Show HN: Plan-linter – pre-flight safety checker for AI agent plans

Plan-linter is an open-source static analysis toolkit that validates LLM agent plans against schemas, policy rules, and heuristics, providing a risk-score JSON output to help catch potential issues before they reach production. It can be installed via pip, used with a simple command-line interface, and extended with custom rules written in Python.

Repo

Step1X-Edit: SOTA image editing model (alternative to GPT-4o)

Step1X-Edit is a state-of-the-art image editing model that uses a multimodal LLM to process reference images and user editing instructions, achieving comparable performance to closed-source models. The model is open-sourced, with inference code, model weights, and a novel benchmark called GEdit-Bench available for evaluation and use.

Repo