Hasty Briefsbeta

All tags

#ai

2203 stories total

Bilingual

Jeff Bezos doesn't believe in PowerPoint, and his employees agree
9 months ago
- TextToSlides.AI offers tools for PowerPoint data extraction, analysis, modification, and export.
- Extract data includes text, notes, links, titles, images, color palettes, tables, and table of contents.
- Analyze tools include word counter and fonts detector.
- Modify tools allow removing speaker notes, images, links, and compressing PowerPoint files.
- Export options include converting PowerPoint to CSV, JSON, and TXT formats.
- Features include creating slides with AI, pricing details, and a blog.
Why Cursor is a great company
9 months ago
- Cursor has a great pricing model with affordable entry points and scalable plans.
- The tool is expanding beyond developers to business analysts, QA, product, and HR teams.
- Cursor provides access to state-of-the-art AI models from various labs in one place.
- The company offers exceptional customer support with quick response times.
- Cursor is seen as a transformative tool that enhances productivity across various roles.
GPT might be an information virus (2023)
9 months ago
- Generative models like ChatGPT are accelerating the production of AI-generated content, which threatens the reliability of the web.
- The rise of AI-generated content will drown out human-generated content, leading to a decline in human participation and trust in online information.
- Google faces an existential threat as AI-generated content makes its search algorithms unreliable, potentially leading to a loss of users and advertisers.
- The concept of 'Web 3.0' or a decentralized web might become necessary to combat the 'information virus' caused by AI-generated content.
- Despite the challenges, GPT technology offers significant benefits, such as democratizing access to knowledge and improving information accessibility.
A Retrospective on Paradigms of AI Programming (2002)
9 months ago
- Lisp's unique features in 1991 made it essential for AI and other applications, but by 2002, other languages like Java and Python had caught up in many areas.
- Key Lisp features include built-in support for lists, automatic storage management, dynamic typing, first-class functions, uniform syntax, interactive environment, extensibility, and a long history.
- Performance comparisons show Lisp is faster than Java and significantly faster than Python, though Java and Python have improved in areas like interactive environments and syntax simplicity.
- Lisp's popularity has declined relative to Java, C++, and Perl, with fewer books, Usenet articles, URLs, and jobs mentioning Lisp compared to these languages.
- Despite its decline in popularity, Lisp remains relevant in specific areas like AI, bioinformatics, and e-commerce, with examples of successful Lisp applications.
- The lack of standard libraries for modern protocols and the stagnation of the Lisp language standard are cited as weaknesses affecting its broader adoption.
- Important lessons from 'Paradigms of AI Programming' (PAIP) emphasize Lisp's strengths in exploratory programming, efficiency, and the use of macros and closures.
- PAIP is considered a strong advanced Lisp and AI programming text but is less comprehensive as a modern AI text due to the evolution of AI programming practices.
Claude Code Router
9 months ago
- Claude Code Router is a tool for routing requests to different AI models based on needs like background tasks, thinking, or long context.
- Supports multiple model providers including OpenRouter, DeepSeek, Ollama, Gemini, Volcengine, and SiliconFlow.
- Features request/response transformation, dynamic model switching, GitHub Actions integration, and a plugin system.
- Installation involves setting up Claude Code and the Router via npm.
- Configuration is done through a config.json file, specifying providers, API keys, and routing rules.
- Transformers allow customization of requests and responses for different providers.
- Dynamic model switching is possible within Claude Code using the /model command.
- Custom routing logic can be implemented via a JavaScript module.
- Integration with CI/CD pipelines enables automation and cost-saving during off-peak hours.
- The project acknowledges sponsors and encourages further support for development.
Mistral's new "environmental audit" shows how much AI is hurting the planet
9 months ago
- Mistral conducted a first-of-its-kind environmental audit to quantify the impacts of its Large 2 AI model.
- The audit measured CO2 emissions, water consumption, and materials depletion, finding most impact occurs during model training and inference.
- A single AI prompt (400 tokens) emits 1.14g CO2 and consumes 45ml water—minimal individually but significant in aggregate.
- Over 18 months, Mistral's model emitted 20.4 ktons CO2 (≈4,500 cars/year) and used 281,000m³ water (≈112 Olympic pools).
- AI queries' CO2 impact is comparable to 10 sec of US streaming (55 sec in France) or 4-27 sec on Zoom.
- Writing a 10-minute email read by 100 recipients emits as much CO2 as 22.8 Mistral prompts.
Generative AI. "Slop Generators, are unsuitable for use [ ]"
9 months ago
- The Asahi Linux project bans the use of Large Language Models (LLMs), referred to as 'Slop Generators', in any capacity, including code, documentation, and engineering decisions.
- LLMs are prone to regurgitating copyrighted or confidential material from their training data, posing legal risks for FOSS projects like Asahi Linux.
- The environmental impact of LLMs is significant, consuming vast amounts of resources in training and inference, which the project deems wasteful.
- Using LLMs to answer questions in forums is discouraged, as it's seen as unhelpful and equivalent to posting a 'LMGTFY' link.
- LLMs lack true understanding, reasoning, or the ability to assess the truthfulness of their outputs, making them unreliable for critical tasks.
The Rise of Vibeinsecurity
9 months ago
- HackAIcon event in Lisbon on September 25, 2025, discussing AI hacking and security.
- By 2035, widespread 'vibecoding' allows anyone to build apps, leading to job losses for developers.
- Increase in hacked apps due to rushed development and lack of security measures.
- Emergence of 'Vibe Hackers' exploiting vulnerabilities at scale using AI.
- Privacy erosion as personal data becomes easily accessible due to insecure apps.
Is SoftBank still backing OpenAI?
9 months ago
- SoftBank and OpenAI's $500 billion 'AI Project' has scaled back its near-term plans, aiming to build a small data center by year-end.
- The Stargate project, announced with much fanfare, has not completed any data center deals despite initial claims.
- Confusion arises as OpenAI refers to data centers in Texas as part of Stargate, but SoftBank has no involvement in these sites.
- Reports misleadingly attribute the Abilene Texas data center to the Stargate project, despite SoftBank's non-involvement.
- OpenAI and SoftBank are accused of deliberate deception to maintain the appearance of SoftBank's involvement in the Abilene site.
- SoftBank's financial commitments to OpenAI, including a $3 billion annual payment and a $40 billion investment, appear uncertain.
- Evidence suggests SoftBank may not be able to meet its financial commitments to OpenAI, casting doubt on the partnership's viability.
- The Stargate project seems to be more of a branding exercise than a tangible initiative, with little to no actual progress.
Show HN: Companies use AI to take your calls. I built AI to make them for you
9 months ago
- Piper is a personal AI phone call agent designed to handle customer service calls so users don't have to.
- Built by founding engineers from AssemblyAI, Piper excels in voice AI and can make calls directly from a browser or any website via a Chrome extension.
- Piper can handle various tasks including booking restaurants, disputing bills, scheduling appointments, canceling subscriptions, and more.
- The AI navigates phone trees and automated systems efficiently, providing live transcripts and updates during calls.
- Piper simplifies dreaded tasks like canceling subscriptions, booking medical appointments, handling utility issues, and dealing with government services.
- Users can try Piper for free with no credit card required, and beta users get exclusive lifetime pricing.
Anthropic unveils new rate limits to curb Claude Code power users
9 months ago
- Anthropic introduces new weekly rate limits for Claude to curb excessive usage, effective August 28.
- Rate limits target users running Claude Code continuously or violating usage policies like account sharing.
- Existing five-hour usage limits remain, with new weekly limits for overall usage and Claude Opus 4.
- Max subscribers can purchase additional usage beyond limits at standard API rates.
- Claude Code has faced multiple outages, possibly due to nonstop usage by power users.
- Less than 5% of subscribers will be affected, with Pro users getting 40-80 hours of Sonnet 4 weekly.
- Anthropic cites computational resource constraints as a reason for the limits.
- Other AI coding tool providers like Cursor and Replit have also adjusted pricing strategies recently.
- Anthropic commits to exploring long-running use case support in the future.
OpenAI's ChatGPT Agent casually clicks through "I am not a robot" verification
9 months ago
- OpenAI's ChatGPT Agent can bypass Cloudflare's anti-bot verification.
- The AI agent operates in a sandboxed environment with its own virtual OS and browser.
- Users can monitor the agent's actions in real-time via the ChatGPT interface.
- The agent requires user permission for actions with real-world consequences.
- Reddit users discovered the agent could ironically pass CAPTCHA checks.
- The agent narrated its process, including clicking 'Verify you are human'.
- Observers noted the absurdity of an AI declaring it's 'not a bot'.
Cheyenne to host AI data center using more electricity than all Wyoming homes
9 months ago
- Cheyenne, Wyoming, will host a massive AI data center using more electricity than all Wyoming homes combined.
- The data center is a joint project between Tallgrass and Crusoe, starting at 1.8 gigawatts and scalable to 10 gigawatts.
- Wyoming's cool weather and abundant energy resources make it an ideal location for data centers.
- The project will have dedicated energy from gas generation and renewable sources.
- OpenAI is expanding its data center capacity, including a partnership with Oracle for 4.5 gigawatts of additional capacity.
- The Cheyenne data center's tenant has not been confirmed, but speculation includes OpenAI's Stargate project.
My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
9 months ago
- GLM-4.5 Air, a new open-weight model from Z.ai, performs well in coding tasks.
- A 3bit quantized version (44GB) of GLM-4.5 Air was successfully run on a 2.5-year-old 64GB MacBook Pro M2.
- The model generated a functional Space Invaders game in HTML and JavaScript without requiring edits.
- Running the model required the latest main branch of the mlx-lm library and consumed around 48GB of RAM.
- Recent models, including GLM-4.5 Air, Mistral 3.2 Small, and Gemma 3, show significant improvements in coding capabilities.
Learning Is Slower Than You Think
9 months ago
- Real learning often happens unexpectedly and without a schedule, sparked by curiosity rather than structured lessons.
- Alpha School represents a shift towards AI-optimized education, focusing on efficiency and personalization, but potentially at the cost of deeper, human aspects of learning.
- The Alpha Model eliminates traditional teaching methods in favor of AI-guided learning, with an emphasis on projects and self-directed activities.
- Optimization in education risks reducing learning to a transactional process, stripping away the struggle and human interaction that foster deep understanding.
- Historical and cultural perspectives emphasize that learning is transformative, requiring effort, time, and relationships—elements that AI-driven models may overlook.
- Critics argue that while AI can personalize education, it lacks the ability to provide the human connection and mentorship that are crucial for personal and intellectual growth.
- The debate highlights a false binary between traditional, rigid educational systems and overly mechanized, AI-driven approaches, with both failing to fully address the needs of holistic human development.
- True insight and mastery come from engaging with challenges, making mistakes, and persevering—processes that are inherently messy and not easily replicated by AI.
- The article questions whether the goal of education should be to outperform AI or to cultivate qualities like resilience, curiosity, and the ability to engage deeply with the world.
- Ultimately, the piece advocates for educational approaches that prioritize human connection, the space to wonder, and the freedom to ask meaningful questions.
Do variable names matter for AI code completion? (2025)
9 months ago
- Descriptive variable names improve AI code completion performance.
- Experiment tested 8 AI models on 500 Python code samples with 7 naming styles.
- Descriptive names had 34.2% exact match rate vs 16.6% for obfuscated names.
- Levenshtein similarity was higher for descriptive names (0.786) vs obfuscated (0.666).
- Semantic similarity was better for descriptive names (0.874) vs obfuscated (0.802).
- Ranking of naming styles: descriptive > SCREAM_SNAKE_CASE > snake_case > PascalCase > minimal > obfuscated.
- Descriptive names use 41% more tokens but achieve 8.9% better semantic performance.
- Clear variable names benefit both human readability and AI systems.
Observable Notebooks 2.0 Technology Preview
9 months ago
- Observable Notebooks 2.0 introduces a technology preview featuring an open file format and macOS desktop application.
- Key components include Observable Notebook Kit for static site generation and Observable Desktop for local file editing with AI integration.
- Goals for Notebooks 2.0 include file-based workflows, vanilla JavaScript adoption, modern syntax support, and fast static site rendering.
- The new notebook file format is HTML-based, human-readable, and supports easy diffing and editing in standard text editors.
- Notebooks now use vanilla JavaScript, making them easier to learn and reuse, with support for multiple top-level variables and standard imports.
- Enhanced customization options include themes, full-bleed layouts, and custom stylesheets for personalized notebook appearances.
- Notebook Kit allows building static sites from notebooks, improving SEO and user experience with static content rendering.
- Observable Desktop, currently macOS-only, integrates AI to boost productivity and creativity in notebook authoring.
- Feedback is encouraged via GitHub Issues and Discussions, with plans to feature user contributions in the gallery.
Show HN: A GitHub Action that quizzes you on a pull request
9 months ago
- AI Agents are increasingly writing more code, raising the need for human understanding of their output.
- PR Quiz is a GitHub Action that generates quizzes based on pull requests to test human reviewers' understanding of AI-generated code.
- To use PR Quiz, you need an OpenAI API Key and an ngrok auth token (free tier is sufficient).
- Setup involves adding these tokens as action secrets in your GitHub repository and placing a `quiz.yml` file in the `.github/workflows` directory.
- The `quiz.yml` file specifies the workflow, including triggers on pull request approvals and necessary permissions.
- PR Quiz runs a temporary webserver in the GitHub Actions runner, using ngrok for public access, ensuring code privacy.
- Configuration options include model selection, lines changed threshold, time limits, max attempts, and file exclusions.
- The action can be modified to work with self-hosted models, offering flexibility in model usage.
Playing with Open Source LLMs
9 months ago
- The author explores open-source LLMs for coding, preferring local tools over vendor-locked solutions.
- Evaluated models: deepseek-r1:8b (reasoning model with accuracy issues), mistral:7b (fast but inaccurate), qwen3:8b (balanced performance).
- Setup involves Ollama for local LLM API and aider for pair programming, guiding AI through coding tasks.
- Testing scenarios: refactoring (partial success), greenfield project (failed), troubleshooting (effective for error explanation).
- Qwen CLI attempted but failed due to context size limitations and file writing issues.
Train a Reasoning LLM in a Weekend
9 months ago
- NVIDIA provides tools and datasets to train a small reasoning model in about 48 hours on a single GPU.
- The Llama Nemotron family of open models is designed for high-performance reasoning across various tasks.
- The models feature a dynamic reasoning toggle to switch between standard chat and advanced reasoning modes.
- NVIDIA has open-sourced the Llama Nemotron Post-Training Dataset with over 32 million samples across domains like math, coding, and science.
- Training involves data curation, fine-tuning, and evaluation, with a focus on supervised fine-tuning (SFT) for best results.
- The dataset is organized into subsets for SFT or RL, with detailed metadata and sample attributes.
- A recommended training approach includes using LoRA adapters for parameter-efficient fine-tuning on models with at least 8B parameters.
- Evaluation shows significant improvements over base models, with performance gains of up to 10 points on benchmarks like GPQA and MMLU.
- The process is scalable, with potential for further improvements by increasing training samples and time.

first prev37next

About|Login

#ai

Jeff Bezos doesn't believe in PowerPoint, and his employees agree

Why Cursor is a great company

GPT might be an information virus (2023)

A Retrospective on Paradigms of AI Programming (2002)

Claude Code Router

Mistral's new "environmental audit" shows how much AI is hurting the planet

Generative AI. "Slop Generators, are unsuitable for use [ ]"

The Rise of Vibeinsecurity

Is SoftBank still backing OpenAI?

Show HN: Companies use AI to take your calls. I built AI to make them for you

Anthropic unveils new rate limits to curb Claude Code power users

OpenAI's ChatGPT Agent casually clicks through "I am not a robot" verification

Cheyenne to host AI data center using more electricity than all Wyoming homes

My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)

Learning Is Slower Than You Think

Do variable names matter for AI code completion? (2025)

Observable Notebooks 2.0 Technology Preview

Show HN: A GitHub Action that quizzes you on a pull request

Playing with Open Source LLMs

Train a Reasoning LLM in a Weekend