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Researchers produce thinnest sheet of metal ever using a 100-year old Japanese technique — Goldene could pave way for super catalysts, ultra high density optical storage and much more

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Described by Nature as the “gilded cousin of Graphene”, Goldene is a one-atom-thick sheet of gold created by scientists from Linköping University (LiU) in Sweden. 

It has unique properties that the researchers believe could pave the way for applications such as carbon dioxide conversion, hydrogen production, water purification, and communication.

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How to write a book using AI in a day using the “sawdust book” technique

How to write a book using AI in a day

If you are interested in learning more about how you can harness AI technology such as ChatGPT to help you write books more efficiently. You may be interested in new trend is emerging that is reshaping the way fiction authors work. Imagine writing a book in just a single day. This isn’t a fantasy; it’s a real possibility in 2024, thanks to the advancements in artificial intelligence (AI).  AI is transforming the writing process, enabling authors to quickly produce what are known as Sawdust Books. These are shorter, focused works that are spun off from the larger universe of an author’s main projects. Let’s explore how this is becoming a game-changer for writers.

Sawdust books can take various forms, from short stories to deep dives into character backstories or the intricate details of a story’s setting. For instance, a writer who specializes in mysteries might create a collection of crime scene analyses, while a romance novelist could pen a series of heartfelt letters between characters. These pieces serve to deepen the reader’s experience and expand the world that the author has created. You might also be interested in learning how to use ChatGPT to write story Bibles.

Writing Sawdust Books

Authors looking to enhance their sawdust books can add extra materials or weave in content from the public domain that fits their theme. This not only gives readers more to enjoy but also adds value to the author’s work. However, creating the book is only half the battle. Marketing is crucial to ensure that these creations find their way into the hands of eager readers. By marketing these books as exclusive insights into their worlds, authors can create a buzz and a sense of exclusivity that will attract readers.

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What are sawdust books?

Sawdust books are a relatively new concept in the realm of literature, closely tied to the advancements in AI and the changing dynamics of book publishing. The term “sawdust” here is metaphorical, drawing an analogy to the byproduct of woodworking. Just as sawdust is the residual material after cutting or shaping wood, sawdust books are secondary works derived from an author’s primary literary projects. Here’s a breakdown of their key characteristics:

  • Secondary Yet Significant: Sawdust books are not the main focus of an author’s work but are derived from it. They are akin to offshoots or extensions of larger projects.
  • Varied Formats: These can take various forms such as short stories, novellas, a collection of essays, or deep dives into specific aspects of a larger narrative. For instance, an author could explore the backstory of a minor character, elaborate on a particular setting, or delve into specific themes that resonate with their main work.
  • Enhancing Reader Experience: By focusing on elements related to their major works, authors use sawdust books to provide additional context, depth, and background to their main stories. This enriches the reader’s experience and offers new perspectives on the author’s world.
  • Creativity and Exploration: Sawdust books allow authors to experiment creatively without the pressure and extensive commitment required for a full-length novel. They can explore different writing styles, character developments, or narrative techniques.
  • AI-Enabled Efficiency: With the advent of AI in the writing process, producing sawdust books has become more feasible. AI tools can assist in generating ideas, drafting content, and even editing, enabling authors to produce these works more swiftly and efficiently.

How to quickly write a book using AI

To embark on this one-day book-writing journey, authors should start by using AI tools to brainstorm and quickly generate content. It’s important to keep ideas organized to ensure the narrative flows well. AI can also assist with editing and proofreading, streamlining the process to achieve a polished final manuscript.

An eye-catching book cover is essential, and AI can also assist in this area, providing professional designs at a fraction of the cost. With the help of AI, a writer can have a sawdust book ready to publish by the end of the day, ready for readers to dive in.

Sawdust Books

  • Sawdust books are short, focused works that derive from an author’s main project.
  • They can be anything from short stories to detailed character backstories or setting descriptions.
  • For example, a mystery writer might explore crime scene analyses, while a romance author could create intimate letters between characters.
  • These works enrich the reader’s experience and broaden the author’s universe.

The Role of AI in Book Writing

  • AI tools help authors brainstorm and generate content quickly and efficiently.
  • They streamline the editing and proofreading process, ensuring a smooth narrative flow.
  • AI also offers cost-effective solutions for creating eye-catching book covers.

The Process: Crafting a Book in a Day

  1. Idea Generation: Use AI to brainstorm concepts relevant to your main project.
  2. Content Creation: Quickly draft your story or content with AI’s assistance.
  3. Editing and Proofreading: Employ AI tools to refine your manuscript.
  4. Designing the Cover: Leverage AI for professional and appealing cover designs.
  5. Final Touches: Make necessary adjustments to finalize your manuscript.

Marketing Your Sawdust Book

  • The key to success lies in effective marketing.
  • Present these books as exclusive insights into your fictional world.
  • Create a buzz by promoting them as unique additions to your main work.

You will be pleased to know that AI is not just a tool for writing but also a partner in the creative process. It allows you to focus on the artistic aspects while handling the more technical elements of book creation.

What This Means for Authors

  • Authors become more productive and are seen as forward-thinking creators.
  • AI-assisted writing opens new avenues for exploring and expanding literary worlds.
  • The ability to publish quickly responds to the fast-paced demands of modern readers.

If you are wondering how this impacts the traditional writing process, it’s clear that AI is not replacing authors but enhancing their capabilities. It offers a unique opportunity to experiment with different styles and themes, making the writing journey more versatile and exciting.

Navigating the Future of Writing with AI

  • Embrace AI as a tool that complements your creativity.
  • Stay informed about the latest AI writing tools and techniques.
  • Be open to experimenting with different AI-assisted writing methods.

Remember, the goal is not just to produce a book quickly but to create something that resonates with your audience. With AI, you can push the boundaries of your creativity and explore new horizons in storytelling.

The prospect of writing and publishing a book in a single day is a reality that fiction authors can look forward to in 2024. By leveraging AI for writing assistance, creating genre-specific sawdust books, and crafting effective marketing strategies, authors can quickly produce engaging content that resonates with their audience. This innovative approach to writing is set to enhance productivity and establish authors as forward-thinking and prolific creators in their field.

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New Rapid Liquid Printing technique set to revolutionize 3D printing

New Rapid Liquid Printing technique set to revolutionize 3D printing

Over the past decade 3D printing has advanced from simple plastic objects to creating intricate designs with multiple materials to bioprinting living tissues, the possibilities are expanding rapidly, reshaping industries and sparking creativity. One of the most intriguing breakthroughs is Rapid Liquid Printing (RLP).

Rapid Liquid Printing (RLP) is an innovative 3D printing technique that significantly differs from conventional 3D printing methods. Unlike traditional 3D printing, which often involves building an object layer by layer from the bottom up, RLP involves printing within a gel suspension. This method allows for the creation of complex, soft shapes that were once thought impossible to produce. Unlike traditional 3D printing, RLP doesn’t require support structures, which means less material is wasted, and the process is more efficient. This could lead to a significant reduction in production costs and time, making it a valuable asset for manufacturers.

Rapid Liquid Printing

Rapid Liquid Printing is a groundbreaking technique from MIT’s Self-Assembly Lab. It’s a new way of 3D printing where you create objects in a gel, making them in three dimensions. The great thing is, as the object is made, it hardens and becomes ready to use almost right away, with hardly any extra work needed. This method is super fast at making big items out of top-notch materials like rubber, foam, and plastic. Traditional 3D printing can be slow, only make small things, and sometimes the materials aren’t that great. But Rapid Liquid Printing changes all that, allowing for the quick making of big, stretchy, airtight, and high-quality items.

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Here’s a breakdown of its key aspects and benefits compared with more traditional 3D printing technologies.

  • Printing Medium: The gel-like medium in which RLP operates serves a dual purpose. Firstly, it supports the printed material during the printing process, eliminating the need for additional support structures typically required in traditional 3D printing. This feature allows for more complex and intricate designs to be printed. Secondly, the medium significantly reduces the effects of gravity, enabling the creation of smoother and more precise structures. The composition of the gel is carefully formulated to balance viscosity and density, providing an ideal environment for the printing material to solidify correctly.
  • Materials: RLP’s ability to work with a variety of materials like plastics, rubbers, and foams broadens its application scope. This versatility is crucial for industries that require specific material properties, such as flexibility, durability, or lightweight structures. For instance, in the shoe industry, the use of different materials can lead to the production of custom footwear tailored to individual comfort and performance needs. Similarly, in furniture design, the use of varied materials can result in innovative, ergonomic, and aesthetically pleasing products.
  • Speed: The speed of RLP is one of its most significant advantages over traditional 3D printing methods. While standard 3D printers may take hours or even days to complete an object, RLP can produce the same in a fraction of the time. This efficiency is achieved through the continuous extrusion of the printing material and the rapid curing process facilitated by the medium. Such speed is particularly beneficial in a commercial setting, where time efficiency translates to cost-effectiveness and quicker time-to-market for products.
  • Precision and Scale: RLP offers remarkable precision, which is a critical factor in applications where detail and accuracy are paramount. Moreover, the scalability of RLP is notable, as it can create small, intricate objects as well as larger items, like furniture pieces. This scalability is a significant advancement over traditional 3D printing technologies, which often struggle with larger sizes due to limitations in printer bed size and structural integrity issues.
  • Applications: The diverse applications of RLP span across various industries. In the fashion industry, it enables the creation of custom-fit apparel and accessories. In furniture manufacturing, RLP can produce unique, ergonomic designs that are both functional and aesthetically appealing. Additionally, its application extends to the automotive and aerospace industries for the production of customized, lightweight parts.
  • Innovation and Future Potential: RLP is a groundbreaking development in additive manufacturing, pushing the boundaries of what is possible in terms of design complexity, material diversity, and production speed. Its future potential includes the possibility of even more materials being compatible with the technology, further increasing its versatility. There’s also potential in combining RLP with other manufacturing technologies and automation to create highly efficient, integrated production systems. The environmental impact of RLP, particularly in terms of material usage and waste reduction, is another area of future exploration, potentially making it a more sustainable manufacturing option.

object created using Rapid Liquid Printing

Another innovation that’s catching the eye of experts is Multimaterial 3D Printing. Imagine printing a part that combines the hardness of metal with the flexibility of plastic in one seamless process. Researchers have developed a way to do just that, using a laser scanning system that works with slow-curing polymers. This could revolutionize how we create customized components for various applications, from medical devices to automotive parts.

In the realm of biotechnology, the 3D Bioprinting of Hair Follicles stands out as a significant achievement. Scientists have succeeded in bioprinting hair follicles within lab-grown skin, a development that could transform skin grafting procedures and potentially reduce reliance on animal testing. This is a big step forward in regenerative medicine and could lead to new treatments for burn victims and those with hair loss conditions.

The field of electronics is also benefiting from 3D printing, particularly in Micromanufacturing. A new metal 3D printer can create custom probes and test pads for microchip designs with incredible precision. This technology is essential for the development of smaller, more powerful electronic devices and could accelerate the pace of innovation in the semiconductor industry.

In the world of design and entertainment, Generative AI is transforming 3D modeling. A new tool can create realistic 3D human models from a single photo, which has vast implications for gaming, virtual reality, and online shopping. This technology could make digital content creation more accessible and personalized.

Lastly, the ability to produce DIY Optical Lenses using 3D printing is a testament to the technology’s versatility. Enthusiasts and professionals can now craft custom optics at a fraction of the traditional cost, opening up opportunities for innovation in photography, filmmaking, and scientific research.

These advancements in 3D printing and technology are reshaping our world in profound ways. They are not just fascinating; they represent a shift towards a future where innovation continuously pushes the boundaries of what’s possible. As we explore these developments, we can expect to see even more remarkable applications that will influence how we live, work, and play. As always we will keep you up to speed on all the latest technologies and advancements in 3D printing and AI technologies as well as gadgets and more.

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SteerLM a simple technique to customize LLMs during inference

SteerLM a simple technique to customise LLMs during inference

Large language models (LLMs) have made significant strides in artificial intelligence (AI) natural language generation. Models such as GPT-3, Megatron-Turing, Chinchilla, PaLM-2, Falcon, and Llama 2 have revolutionized the way we interact with technology. However, despite their progress, these models often struggle to provide nuanced responses that align with user preferences. This limitation has led to the exploration of new techniques to improve and customize LLMs.

Traditionally, the improvement of LLMs has been achieved through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF). While these methods have proven effective, they come with their own set of challenges. The complexity of training and the lack of user control over the output are among the most significant limitations.

In response to these challenges, the NVIDIA Research Team has developed a new technique known as SteerLM. This innovative approach simplifies the customization of LLMs and allows for dynamic steering of model outputs based on specified attributes. SteerLM is a part of NVIDIA NeMo and follows a four-step technique: training an attribute prediction model, annotating diverse datasets, performing attribute-conditioned SFT, and relying on the standard language modeling objective.

Customize large language models

One of the most notable features of SteerLM is its ability to adjust attributes at inference time. This feature enables developers to define preferences relevant to the application, thereby allowing for a high degree of customization. Users can specify desired attributes at inference time, making SteerLM adaptable to a wide range of use cases.

The potential applications of SteerLM are vast and varied. It can be used in gaming, education, enterprise, and accessibility, among other areas. The ability to customize LLMs to suit specific needs and preferences opens up a world of possibilities for developers and end-users alike.

In comparison to other advanced customization techniques, SteerLM simplifies the training process and makes state-of-the-art customization capabilities more accessible to developers. It uses standard techniques like SFT, requiring minimal changes to infrastructure and code. Moreover, it can achieve reasonable results with limited hyperparameter optimization.

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The performance of SteerLM is not just theoretical. In experiments, SteerLM 43B achieved state-of-the-art performance on the Vicuna benchmark, outperforming existing RLHF models like LLaMA 30B RLHF. This achievement is a testament to the effectiveness of SteerLM and its potential to revolutionize the field of LLMs.

The straightforward training process of SteerLM can lead to customized LLMs with accuracy on par with more complex RLHF techniques. This makes high levels of accuracy more accessible and enables easier democratization of customization among developers.

SteerLM represents a significant advancement in the field of LLMs. By simplifying the customization process and allowing for dynamic steering of model outputs, it overcomes many of the limitations of current LLMs. Its potential applications are vast, and its performance is on par with more complex techniques. As such, SteerLM is poised to play a crucial role in the future of LLMs, making them more user-friendly and adaptable to a wide range of applications.

To learn more about SteerLM and how it can be used to customise large language models during inference jump over to the official NVIDIA developer website.

Source &  Image :  NVIDIA

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