Publish Contents

Graphlit can be used to publish an AI-generated blog post, summarizing content from multiple web pages.

We are using a custom specification for the Claude 3 Sonnet model, and asking for Markdown text output.

You can provide an optional summarization prompt, which is used to summarize each filtered content item. You must provide a publishing prompt, which is used to publish the final output using the intermediate summaries from the first step.

Here we are using this publishing prompt:

Follow these steps.

Step 1: Think about a structure for an engaging AI-generated blog post, with an introduction, an in-depth discussion of 4-6 interesting topics across all provided content, and a wrap-up.  
Step 2: For each topic, write 2-3 detailed paragraphs discussing it in-depth. Touch on key points for each topic which would be interesting to readers. Mention the content metadata, entities and details from the provided summaries, as appropriate in the discussion.
Step 3: Combine all topics into a lengthy blog post. Use friendly but technical conversation to write the post.
Step 4: Remove any unnecessary formatting or final notes about being AI generated.

You can publish a specific content item, by specifying the ID, or you can filter all of your content, and publish multiple contents at once. The published content will be reingested as a new Graphlit content item.

For more information about content filtering arguments, see here.

Publish Web Pages

Prior to publishing, we've ingested a set of linked web pages from TechCrunch.

g publish --type content --content-types Page

After publishing has completed, we can get the Markdown output.

g get --type content --id "{guid}" --fields "{ markdown }"

Here is a formatted version of our published blog post:

# Exploring the Latest Trends in AI and Tech

Welcome, tech enthusiasts! In this blog post, we'll delve into the fascinating world of artificial intelligence (AI), emerging technologies, and the latest developments shaping our digital landscape. Buckle up as we embark on an exciting journey through the realms of innovation.

## The Rise of AI Chatbots: ChatGPT and Beyond

One of the most captivating topics in the AI realm is the advent of advanced chatbots like ChatGPT, developed by OpenAI. This revolutionary AI system has taken the world by storm, showcasing its ability to engage in human-like conversations, answer complex queries, and even generate creative content.

OpenAI's recent release of GPT-4, the latest iteration of their language model, has further elevated the capabilities of ChatGPT. With improved performance and enhanced features, GPT-4 promises to push the boundaries of what AI can achieve. From the launch of the ChatGPT app for iOS and Android to its integration with Microsoft's Bing search engine, the impact of this technology is undeniable.

However, the rise of ChatGPT has also sparked discussions around data privacy, defamation, plagiarism, and the potential for AI to be misused for fraudulent activities. As organizations like Microsoft, Discord, and Red Ventures embrace ChatGPT, it's crucial to address these concerns and establish ethical guidelines for the responsible development and deployment of AI systems.

## AI Chips: The Driving Force Behind Intelligent Systems

As AI continues to advance, the demand for specialized hardware to power these intelligent systems has skyrocketed. Major tech giants like Nvidia, Intel, AMD, and Arm are investing heavily in startups developing cutting-edge AI chips.

Nvidia, a leader in the AI chipmaking space, has significantly increased its startup investments, with a staggering 280% jump in funding from 2022 to 2023. Intel, on the other hand, has deployed over $350 million across its investments in 2023, showcasing its commitment to the AI ecosystem.

Arm, another key player, has been actively investing in startups through direct investments and partnerships with organizations like Deeptech Labs. Meanwhile, AMD has announced plans to ramp up its investment activity in 2024, targeting the AI ecosystem as a strategic focus.

These investments are fueling the development of specialized AI chips, which are essential for powering the next generation of intelligent systems, from autonomous vehicles to advanced robotics and beyond.

## Stack Overflow's Knowledge Base: Empowering AI Companies

In a groundbreaking move, the developer Q&A site Stack Overflow has launched a new program that grants AI companies access to its vast knowledge base through the OverflowAPI. Google, as the launch partner, has already integrated Stack Overflow's data into its Gemini for Google Cloud platform, providing validated Stack Overflow answers directly in the Google Cloud console.

This partnership aims to address concerns about maintaining the quality and accuracy of Stack Overflow's knowledge base as AI tools become more prevalent. By leveraging the human element and expertise of the Stack Overflow community, Google and other AI companies can enhance their code completion models and AI-powered development tools with reliable and vetted information.

## AI-Powered News Consumption: Particle.news

In the realm of news consumption, a team of former Twitter engineers, led by Sara Beykpour and Marcel Molina, has launched Particle.news, an AI-powered news reader. With $4.4 million in seed funding from notable investors like Kindred Ventures, Adverb Ventures, and angel investors including Ev Williams and Scott Belsky, Particle.news aims to revolutionize how we consume news.

By leveraging AI to summarize news fairly and compensate authors and publishers, Particle.news offers a personalized, multi-perspective news reading experience. The platform addresses concerns about the impact of AI on the news ecosystem and aims to strike a balance between efficient news consumption and fair compensation for content creators.

## AI Assistants: Brave's Leo and Beyond

The integration of AI assistants into our daily lives is another exciting development. Brave, a privacy-focused web browser, has recently launched its AI-powered assistant, Leo, for Android users. Leo allows users to ask questions, translate pages, summarize content, generate written material, and even create transcriptions of video or audio content.

Brave has integrated various AI models, including Mixtral 8x7B, Anthropic's Claude Instant, and Meta's Llama 2 13B, into Leo, offering users a choice of AI models to suit their needs. Additionally, Brave emphasizes the privacy of chats with Leo, stating that it doesn't record or use them for model training.

Other tech giants, such as Opera, have also entered the AI assistant space, with the launch of Aria, an AI assistant built in collaboration with OpenAI.

## Wrap-Up

As we conclude our exploration of the latest trends in AI and tech, it's clear that we are witnessing a transformative era. From the rise of advanced chatbots like ChatGPT to the development of specialized AI chips and the integration of AI into news consumption and daily life, the impact of these technologies is far-reaching.

While these advancements bring exciting possibilities, they also raise important ethical and legal considerations. It's crucial for the tech industry, policymakers, and society as a whole to address these concerns and establish frameworks for the responsible development and deployment of AI systems.

As we move forward, we can expect even more groundbreaking innovations in the AI and tech space, reshaping the way we live, work, and interact with the world around us. Stay tuned for more exciting developments in this ever-evolving landscape!