2101 stories tagged AI · page 45 of 88
Bash4LLM is a lightweight, dependency-free Bash wrapper for interacting with LLM APIs from the terminal. It requires only Bash, curl, and jq, and supports features like prompts, chat, file processing, streaming, and session metadata. Groq is supported by default, with other providers available via plugin scripts.
AI models are now so powerful that their effects go beyond corporate competition. Addressing these impacts will need cooperation across industries and governments. The focus is shifting from who makes the best AI to how we manage its societal effects.
Using AI for coding is becoming as expensive as hiring human developers due to the high cost of token consumption for complex projects. This trend is prompting companies to rethink how they budget for software development, as massive model usage can rival the cost of a full-time developer.
The Trump administration has asked OpenAI to limit the release of its new AI model, GPT 5.6, to a small group of partners. This move highlights growing concerns about the safety and control of advanced AI systems.
Over 100 companies and government agencies are reportedly authorized to use Mythos 5, including their non-American employees.
A new study from AllenAI reveals that hybrid AI models predict certain types of tokens better than others, with key implications for training more accurate language models.
OpenAI unveiled Jalapeño, a custom AI inference chip built with Broadcom, marking a major step toward reducing reliance on Nvidia. The move highlights a broader industry trend by Google, Apple, and SpaceX to avoid single-supplier risk and could lead to faster, cheaper AI services.
OpenAI has released GPT-5.6, a new AI model suite, less than 24 hours after reports that the Trump administration requested a staggered release. The suite includes three models: Sol (flagship), Terra (medium-tier), and Luna (lightweight), each tailored for different use cases.
Apex-1-flash is a lightweight, 4-billion-parameter AI model finetuned on an RTX 5070 to perform complex reasoning tasks. It's designed to be highly efficient and accessible, running easily on consumer-grade hardware without requiring expensive servers.
LLM-d is a new open-source tool that facilitates distributed inference for large language models across multiple GPUs. It aims to make running powerful AI models more accessible for hobbyists and small developers without requiring specialized hardware or deep technical expertise.
Hugging Face now uses AI and open tools to automate its weekly release of the huggingface_hub Python library, combining AI efficiency with human review for faster, reliable updates.
Connor Christou, a fitness-focused founder, used AI to manage his cancer treatment by feeding his health data into Claude. This approach could revolutionize personalized healthcare for others facing chronic illnesses.
A German publisher uses AI to generate 1,500 articles daily by rewriting Hacker News posts. The content attracts over a million monthly visitors but strips original sources and attribution, raising transparency concerns.
Chinese hedge funds are warning that the AI industry is in a 'super bubble' that could burst soon, citing unsustainable valuations and overinvestment in huge capital projects with uncertain returns.
The surge in AI data centers is creating a boom in advanced battery technology. This could lead to cheaper, more efficient energy storage for everyday use.
Researchers have demonstrated that AI coding assistants can be tricked into executing malware from GitHub repositories that appear clean. This new attack vector exploits how AI agents automatically process and run code, bypassing human review.
A new open-source project lets you use advanced AI models like GPT-4 and GPT-5 through Windows Copilot without needing API keys. This could make powerful AI tools more accessible to regular users.
Larger AI models consistently outperform smaller ones in reasoning tasks. Researchers developed a new tool to study why this happens, revealing key differences in problem-solving approaches.
A new research paper reveals that the classical intuition that verifying a solution is easier than producing one is being inverted for today's coding agents. As foundation models get stronger, generating candidate solutions has become easier, while reliable verification—capturing underspecified human intent—has become the harder problem.
Researchers argue that after a benchmark's accuracy saturates, the focus should shift to six other key dimensions of AI performance: construct validity (shortcuts), out-of-distribution generalizability, efficiency, reliability, model vs. scaffold importance, and human–AI collaboration uplift.
The Trump administration has asked OpenAI to release its advanced AI models in stages rather than all at once, according to a new report. This request reflects growing government concern about the rapid pace of AI development and its potential risks.
Scientists discovered that AI chatbots refuse requests less often when they adopt a more cooperative personality. This finding could help make AI assistants more helpful while maintaining safety.
OpenAI has unveiled GPT-5.6 Sol, a new AI model that excels in coding, science, and cybersecurity. It also includes advanced safety features to prevent misuse. This could revolutionize how professionals use AI in technical fields.
Researchers developed a method to speed up advanced AI language models without needing to retrain them. This breakthrough could make AI text generation faster and more efficient for everyday use.