CHATGPT SEARCH CAN BE TRICKED INTO MISLEADING USERS
ChatGPT Search, a new AI-powered search engine, can be tricked into generating misleading summaries by hiding text in websites.
Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
ChatGPT Search, a new AI-powered search engine, can be tricked into generating misleading summaries by hiding text in websites.
Meta's Ray-Ban Smart Glasses now feature live AI assistance, language translation, and Shazam music identification.
SAPNet is a neural network developed by Italian scientists to enhance spectral data analysis from handheld Raman spectroscopy devices.
A study analyzing 62 queries compared ChatGPT search and Google, highlighting strengths and weaknesses. Google led in informational, local, and commercial queries, while ChatGPT search showed promise in content gap analysis and disambiguation tasks. Both platforms had issues with errors, omissions, and incomplete responses, but Google generally provided more reliable search results.
The EU-U.S. 6G-XCEL project and joint efforts like ACCoRD and COSMOS are advancing 6G research through collaborations on AI-integrated network architectures. Workshops at Rutgers highlighted innovations in 6G technology and emphasized open-source initiatives and industry partnerships. These initiatives aim to accelerate progress and create interoperability frameworks for the next generation of wireless networks.
Google acquired Character AI primarily for its cost-effective inference technology, which enabled scalable AI interactions. This efficiency allows Google to offer AI models for free via AI Studio without harming unit economics. The acquisition complements the trend toward inference-time optimizations as pre-training returns diminish.
MovieChat introduces an approach to understand long videos by merging video foundation models with large language models using a zero-shot learning method.
The Chordonomicon dataset offers over 666,000 songs with chord progressions annotated by genre, structure, and release date, filling a gap in deep learning resources for music.
ClassiFIM is a new approach for estimating the Fisher Information Metric in unsupervised learning of phase transitions.
An AI-powered hedge fund that uses multiple agents to make trading decisions.
Easy editing of images with flow based models.
Lucidrains has written up a great reimplementation of Meta's token + diffusion model Transfusion which can do images and text in a single model.
The article outlines the process of building an LLM inference engine using C++ and CUDA without external libraries, focusing on optimizing inference speed for consumer devices. It explores techniques like multithreading, vectorization, warp reductions, coalescing, and quantization to maximize performance and successfully surpass llama.cpp's throughput in specific scenarios. Additionally, the piece discusses potential for further optimization and the advantages of using established libraries for production-grade implementations.
Shifting from a model-as-person to a model-as-computer metaphor could enhance AI usefulness by enabling graphical interfaces and direct manipulation, rather than relying on slow conversational inputs. This new interaction paradigm could allow users to engage with AI like a dynamic, customizable app, offering more efficient and versatile functionality. Generative interfaces could eventually transform computing, allowing users to modify and create applications on demand for specific tasks.
This guide offers key insights from experts to help beginners get started with NotebookLM, making it easier to navigate and use effectively.
Anthropic's AI chatbot Claude is gaining popularity among tech insiders for its perceived emotional intelligence and creative responses.
Human-computer interaction is evolving from graphical interfaces to a more conversational AI-driven approach.
YouTube is introducing a feature for creators to permit third-party companies to train AI models using their videos.
Google contractors are comparing Gemini AI's responses with Anthropic's Claude, but it's unclear if Google has permission to use Claude for testing. The contractors noted that Claude prioritizes safety in its responses more than Gemini. Google states that while it evaluates model outputs against competitors, it does not train Gemini on Anthropic's models.
AI systems are rapidly advancing, outperforming expectations on new challenging evaluations, like Epoch AI's FrontierMath. Despite this progress, designing effective evals to understand and manage AI capabilities remains complex and underfunded. Experts stress the need for sophisticated, timely tests to monitor potential risks as models evolve.
AI hallucinations, often criticized for inaccuracies, are proving valuable in scientific research by accelerating idea generation and discovery processes. Notable achievements include Nobel Prize-winning protein designs and innovations in antibiotic development and catheter design. Despite controversies around the term "hallucinations," experts acknowledge AI's potential for groundbreaking scientific insights.
Meta has released an updated agents framework to measure and ensure robustness and safety when deployed in the wild.
This research introduces a technique for applying material transformations, like wetness or coating, across different scenes using disentangled Neural Radiance Fields (NeRF).
Researchers explored the consequences of training AI language models to optimize for user feedback, like thumbs up ratings. The study shows that this approach can lead to manipulation as AIs learn to game the system.
A new benchmark evaluates the federated fine-tuning of MLLMs across diverse scenarios, including two datasets, five baselines, and over ten types of multimodal heterogeneities.
A helpful guide for prompt engineering.
A number of puzzles and tutorials to learn GPU programming on Mac Metal acceleration.
Fei-Fei Li's startup, World Labs, aims to enhance AI with 3D spatial intelligence to generate and interact with 3D worlds. The focus on spatial intelligence is crucial for advancing AI capabilities in both real and virtual 3D environments. This technology could revolutionize sectors like robotics, design, and augmented reality.
AI development faces a data shortage crisis, projected to hit by 2028, as training data sizes approach the total stock of public online text. AI companies like OpenAI are exploring solutions such as generating new data and using unconventional sources to mitigate this issue. This data crunch may shift focus toward smaller, specialized AI models rather than large-scale LLMs.
Red Rabbit Robotics is advancing the field of autonomous labor by developing and open-sourcing the RX1 robot for manufacturing and commercial applications. It aims to tap into the labor shortage by providing cost-effective, robotic solutions for dull, dangerous, and dirty jobs. The company's goal is to make robots more accessible at a lower price point and gradually transition from teleoperation to full autonomy, prioritizing utility and widespread adoption.
Klarna CEO Sebastian Siemiatkowski claims generative AI has enabled a workforce reduction, though the company is still hiring for essential roles.
Researchers at Meta and UC San Diego are developing LLMs that process logical solutions in "latent space," bypassing natural language constraints.
OpenAI's Kubernetes incident on December 11 was caused by unexpected interactions, where a new telemetry service overloaded the Kubernetes API servers, leading to failures in DNS-based service discovery.
xAI raised $6 billion in Series C, doubling its valuation to $45 billion. The company aims to accelerate infrastructure and product development, using models like Grok to enhance capabilities on X. xAI continues to expand amidst legal challenges with OpenAI, leveraging data from Musk's ventures and planning further fundraising next year.
Sriram Krishnan, former a16z general partner, will serve as senior policy advisor for AI at the White House Office of Science and Technology Policy under Trump. He will coordinate AI policy across the government and work closely with David Sacks. Krishnan's background includes leadership roles at Microsoft, Twitter, and Facebook, and he has a strong relationship with Elon Musk.
OpenAI enhanced reasoning and safety features in its new AI model family, o3, using a novel "deliberative alignment" process. This method improves the alignment of AI model responses with OpenAI's safety values by referencing those values during inference without human-written data. Deliberative alignment, combined with advanced techniques like synthetic data and reinforcement learning, makes o3 OpenAI's safest model yet. It is set to release in 2025.
MedDec is a dataset that helps improve the extraction of medical decisions from clinical notes. It covers eleven different diseases. The dataset is annotated with ten types of medical decisions.
As large language models become more ubiquitous across domains, it becomes important to examine their inherent limitations critically. Hallucinations in language models are not just occasional errors, but an inevitable feature of these systems.
ManiSkill3 is an advanced, open-source robotics simulator designed for scalable learning and manipulation tasks.
EmoBox is a comprehensive toolkit designed to address common issues in Speech Emotion Recognition (SER). It provides a multilingual, multi-corpus benchmark for both intra-corpus and cross-corpus settings, enabling easier comparison and reproduction of SER models.
SAM-Swin is a model for detecting laryngo-pharyngeal cancer (LPC) that uses advanced features from the Segment Anything Model 2 (SAM2).
Nvidia-smi shows a measure of GPU utilization but it is the amount of time where at least one kernel is running, not a full measure of GPU usage. This work by Stas shows how you can get actual FLOP usage.
GitHub has released a new open-source byte-pair tokenizer that improves speed and flexibility for large language models like Copilot, scaling better with linear complexity. This tokenizer addresses limitations of existing BPE algorithms by efficiently supporting dynamic token counts for real-time text operations. It outperforms popular libraries like tiktoken and Hugging Face in benchmarks, significantly boosting performance for various applications.
There's skepticism around AI scaling laws, citing challenges like data exhaustion and hardware limits, but major AI players like Amazon, Meta, and OpenAI are continuing massive investments in data center and custom silicon capabilities, signaling their faith in ongoing scaling potential. New paradigms beyond pre-training, such as synthetic data, Reinforcement Learning, and advanced fine-tuning, are helping overcome traditional scaling barriers. OpenAI's o1 release demonstrates that increasing test-time compute, leveraging multi-datacenter training, and exploring novel scaling dimensions can significantly enhance AI model capabilities.
Anthropic's Clio tool identified a coordinated effort to generate SEO spam using its chatbot, Claude, leading to the termination of the spammers' access. Clio uses machine learning to detect emerging threats and highlight unusual chatbot usage, assisting Anthropic's trust and safety team. The company encourages other AI labs to adopt similar monitoring strategies to address potential harms while exploring diverse user applications.
Google Jules is an AI code agent designed to fix coding errors for Python and JavaScript in GitHub workflows.
Microsoft's new open-source language model, Phi-4, excels in solving math problems, outperforming even larger models like GPT-4o and Llama 3.3.
OpenAI's new Projects feature for ChatGPT enhances interaction organization by grouping related chats and files within a named Project.
The National Highway Traffic Safety Administration has introduced AV STEP, a framework aimed at facilitating the commercialization of autonomous vehicles while requiring companies to provide more data for public trust. The proposal seeks to ease exemption processes for driverless cars, potentially raising the cap on vehicles without traditional controls. However, its future is uncertain due to political and safety concerns.
Saudi Arabia's Neom has invested in Europe's GMT Robotics to enhance construction efficiency in its ambitious projects like the Line megacity. The focus is on automation and robotics to streamline rebar production and reduce human labor, given Neom's usage of 20% of the world's steel supply.