The author is seeking volunteers to try out Tess.AI for Mac, available in the Mac App Store, which utilizes Ollama and Llama3.2. Interested individuals are encouraged to direct message the author for one of ten available promo codes. Tess.AI is described as a voice-based assistant with numerous beneficial features, and the author is dedicated to its ongoing improvement. Positive feedback and word-of-mouth promotion from users would be appreciated.
Source link
Experience Tess.AI for Mac – Grab Your Promo Codes Now!
Unlocking SEO Success with ChatGPT: 9 Strategies to Enhance AI for Greater Visibility (Includes Sample Prompts) – DesignRush
The article outlines nine effective ways to leverage ChatGPT for SEO to enhance online visibility. First, it emphasizes the importance of keyword research, indicating how ChatGPT can assist in generating relevant keywords and phrases. Next, the tool is highlighted for creating engaging content, helping users draft articles, blog posts, or product descriptions that resonate with target audiences.
Additionally, ChatGPT aids in structuring content with headings and subheadings for better readability. It’s also valuable for on-page optimization by generating meta descriptions and tags. The tool can assist in brainstorming content ideas and answering FAQs to drive user engagement.
Moreover, it can analyze competitors’ content, suggesting strategies for differentiation. The guidance on creating social media posts and improving existing content is also included. Lastly, the article encourages experimenting with various prompts to maximize ChatGPT’s potential in enhancing SEO efforts.
Source link
GitHub Repository: dyoshikawa/rulesync
The Node.js CLI tool, rulesync, simplifies AI development by automating the generation and import of configuration files from unified AI rule files. It supports various tools, such as GitHub Copilot and Claude Code, allowing seamless integration of custom and existing configurations. Users can initiate their projects with a sample rule set and modify it in the .rulesync/ directory. The tool facilitates both file generation and importing with commands tailored to individual AI tools. Developers can maintain standardized rules across their chosen tools, enhancing consistency and code quality. With future-proof capabilities, rulesync adapts to evolving technology, enabling hybrid workflows across multiple AI systems while avoiding vendor lock-in. Each rule file is structured with metadata for easy processing, ensuring thorough validation and error management. Ultimately, rulesync promotes a collaborative and efficient development experience, empowering teams to optimize productivity through flexible AI tool selections.
China’s Drug Innovators Harness AI to Accelerate Discovery, Reduce Costs, and Secure Partnerships
Chinese drug innovators are increasingly employing artificial intelligence (AI) tools to streamline the drug discovery process and reduce costs, aiming to accelerate clinical trials and commercialization. Nanjing’s Genscript Biotech is leveraging its enzyme prediction database and algorithms for DNA sequence modification to identify and optimize drug candidates. Shenzhen-based XTalPi has partnered with US firm DoveTree to globalize its oncology, autoimmune, and neurological drug candidates. Meanwhile, Boston’s Insilico Medicine recently published successful phase two trial results for its AI-discovered drug, rentosertib, targeting idiopathic pulmonary fibrosis. The AI-assisted drug discovery market is projected to grow exponentially, potentially reaching $13 billion by 2032, up from $1.5 billion in 2023, with spending on AI-based clinical research tools expected to surpass $7 billion by 2030. AI is facilitating faster and more accurate processing of extensive biological and clinical trial data, enhancing the overall drug development process.
Source link
Documentation for AI Agents
Agent docs enhance the performance of AI agents by ensuring their outputs are consistent, aligned with coding conventions, and accurate. For instance, when using Claude Code (CC) to build a website, initial attempts yielded an incorrect command despite detecting the right build system (Bazel). By adding the correct command to the agent doc, the agent started providing accurate outputs. To implement agent docs, developers should create files named CLAUDE.md, GEMINI.md, or AGENTS.md in their project’s root directory, which serve the same function. These docs inform the agent when making API calls, ensuring relevant context is included. It’s recommended to standardize the filename as AGENTS.md. Additionally, subdirectory-specific agent docs can be created for tasks related to specific folders, and a user agent doc can be established for universal workflows. The AGENTS.md contents should be curated and formatted in Markdown, combining elements of how-to guides and references.
Source link
Study Uncovers Bias in AI Hiring Tools Against Black Men – MSN
A recent study highlights the bias present in AI hiring tools, particularly against Black men. Researchers found that these automated systems often favor candidates based on data that reflects historical hiring practices, which are ingrained with racial and gender biases. The study showed that algorithms may inadvertently disadvantage Black men by prioritizing qualifications and traits associated with predominantly white male candidates. This raises concerns about fairness and equity in recruitment processes, as companies increasingly rely on AI to streamline hiring. Experts urge organizations to scrutinize and refine their AI tools to mitigate bias and ensure a more inclusive workforce. Addressing these biases is essential not only for ethical considerations but also for enhancing diversity and improving overall business performance. Policymakers and tech developers are encouraged to establish guidelines that promote equitable AI use in hiring, ensuring that these technologies serve all candidates fairly.
Source link
Introducing CC Signals: Redefining the Social Contract in the AI Era
Creative Commons has launched the CC Signals project, a framework aimed at fostering reciprocity in the era of AI. This initiative is designed to promote a more equitable AI ecosystem that supports shared benefits, emerging from extensive consultation. As AI reshapes knowledge sharing, CC Signals offers an alternative to paths leading to data extraction or paywalls, drawing from the principles of CC licenses. It enables dataset owners to specify how their content can be reused, balancing legal and ethical considerations. The framework seeks to create a collective commitment to open knowledge and is flexible across various contexts. Feedback from the public is welcome as CC Signals approaches its alpha launch in November 2025. The project invites community participation through discussions, feedback channels, and town hall sessions, emphasizing cooperation to ensure the continued thriving of shared knowledge in the AI landscape.
Source link
OpenAI’s First AI Device Needs More Than Jony Ive’s Reputation to Thrive
OpenAI has had a tumultuous week involving its partnership with Sam Altman and Jony Ive’s company, io, which is developing a groundbreaking device rumored to rival the iPhone. A trademark complaint from iyO forced OpenAI to temporarily remove information about the device from its website, despite ongoing discussions about its potential. While previously labeled a non-smartphone, the product is now referred to as a “non-wearable” and is expected to be different from iyO’s in-ear design, possibly resembling a compact iPod Shuffle. Analysts suggest it could be versatile in its usage, either worn or positioned on desks. Unlike Humane’s AI Pin, OpenAI’s success may hinge on advanced software and AI capabilities, rather than just design aesthetics. The growing potential of AI applications suggests that OpenAI’s product could perform various practical tasks, marking a significant innovation in personal technology.
Source link
Exclusive Opportunity: Test Our AI Market Analysis Tool – Limited Spots Available!
I’m unable to access external URLs directly. However, if you provide me with the main content or key points from the article, I can help summarize it for you!
Source link
OpenAI and Microsoft: The Future of AI Intelligence – WSJ
OpenAI and Microsoft are intensifying their competition in the realm of artificial intelligence (AI), particularly regarding the pursuit of artificial general intelligence (AGI). As both companies innovate, OpenAI has stealthily developed a product that rivals popular tools like Google Workspace and Microsoft Office. This move positions OpenAI as a formidable competitor in the productivity software market. The rivalry between these tech giants highlights the strategic importance of AI advancements, with both companies invested in the development and integration of smarter AI technologies. The outcome of their competition could significantly influence the future landscape of workplace productivity and the capabilities of AI-driven solutions. As they navigate this competitive terrain, the focus remains on achieving breakthroughs that could redefine how humans interact with technology and rely on AI for various tasks.
Source link