Hottest NEW AI tools for Research: Must-Watch AI Apps
TLDRThe video script discusses the rapid advancements in AI tools for academics, highlighting platforms like Sight, Jenny AI, and Hey GPT. Sight's AI assistant is praised for its ability to draft essays and grants, integrating research articles. Jenny AI is noted for its potential in academic writing, despite initial appearances. Hey GPT allows chatting with files and websites, offering a new way to interact with information. The script also touches on AI agents and their potential future impact on academia.
Takeaways
- 🚀 Rapid advancements in AI tools for academics and researchers are being closely followed, with many innovative options available.
- 🌟 Sight is an AI tool that has made significant progress, offering capabilities like drafting essays, generating outlines, and integrating research articles.
- 📝 Sight's assistant can create grant proposals with specific aims and reference relevant literature, streamlining the research process.
- 🎓 The tool's interface provides various prompts for users, facilitating the generation of academic texts and saving time on structuring work.
- 📚 Jenny AI is another tool that, while initially appearing less academically oriented, offers powerful document formulation and citation features.
- ✍️ Jenny AI allows for continuous writing and easy addition of references, making it a collaborative tool for creating academic content.
- 🔗 Hey GPT is a cost-effective tool that connects with files, websites, and Google, enabling users to chat with multiple sources for comprehensive research.
- 🔍 With Hey GPT, scientists can interact with PDFs and web content directly, enhancing the research and literature review process.
- 🤖 Agents are AI tools capable of spawning other tasks and working towards common goals, a concept in its early stages but with potential for future academic applications.
- 📈 The development of AI tools like Auto GPT and Agent GPT agent indicates a move towards automating research and information collection processes.
- 📣 The presenter encourages academics to explore these AI tools and share their experiences, highlighting a community of users eager to discover new advancements.
Q & A
What is the main topic of the transcript?
-The main topic of the transcript is the discussion of various AI tools that are beneficial for academics and researchers, and how they have advanced in a short period of time.
Which AI tool is mentioned first in the transcript?
-The first AI tool mentioned in the transcript is Sight, which has significantly improved over the years and can assist with tasks such as drafting essays and supporting research tasks with information from research articles.
How does the Sight AI assistant help with research tasks?
-The Sight AI assistant helps with research tasks by generating drafts of essays or paragraphs, starting from simple questions, and using information from research articles to support the user's research. It also provides prompts and can reference multiple sources to create a comprehensive output.
What is the significance of the AI tool Jenny AI in the transcript?
-Jenny AI is significant in the transcript as it is presented as a powerful tool for academics. It allows users to collaborate with AI to create text, format documents, add citations, and even create section subheadings, making it a valuable tool for academic writing.
How does Hey GPT differ from other AI tools mentioned in the transcript?
-Hey GPT differs from other AI tools in that it allows users to chat on files, websites, and connects GPT to the internet. This capability enables users to interact with their documents and web content directly, providing a unique way to extract and synthesize information for academic purposes.
What feature of Jenny AI is highlighted in the transcript that is particularly useful for academic writing?
-The transcript highlights Jenny AI's ability to help users formulate documents, reference materials, and find information easily. It also mentions the upcoming support for reference management tools like Mendeley and Zotero, which could be a game-changer for academic writing.
What is the main function of the AI tool Auto GPT mentioned in the transcript?
-Auto GPT is an AI tool that allows users to spawn other tasks and other AI agents to work towards a common goal. It can automate the process of collecting information and putting it into a text document, which can be particularly useful for research and data compilation tasks.
What is the potential future application of AI agents as discussed in the transcript?
-The potential future application of AI agents, as discussed in the transcript, is to automate complex tasks by having multiple AI agents work together towards a common goal. This could greatly enhance productivity and efficiency in various fields, including academia.
How can one engage with the speaker outside of the transcript?
-One can engage with the speaker by signing up for their newsletter at andrewstowton.com.au/newsletter, and by visiting academiainsider.com for ebooks, resource packs, a blog, and a forum.
What is the speaker's overall opinion on the AI tools discussed in the transcript?
-The speaker is amazed by the advancements in AI tools and their potential to assist academics and researchers. They find these tools to be incredibly useful and believe they could significantly improve the process of academic writing and research.
What is the main takeaway from the transcript for academics and researchers?
-The main takeaway is that AI tools have made significant advancements and can greatly assist academics and researchers in their work by automating tasks, aiding in document formulation, and simplifying the process of creating academic pieces of work.
Outlines
🤖 Exciting AI Tools for Academics
The speaker discusses the rapid advancements in AI tools for academic research, expressing amazement at the capabilities of these tools. They highlight Sight, an AI assistant that can help with tasks such as drafting essays, generating outlines for grants, and integrating research references. The speaker demonstrates how Sight can formulate a grant proposal with specific aims and references, emphasizing the time-saving aspect of using AI for literature reviews and document creation. They also mention the potential of Jenny AI, which, despite its current limitations, shows promise in assisting with academic writing and referencing. The speaker is optimistic about the future of AI in academia, suggesting that these tools could significantly streamline the research and writing process.
📚 Enhancing Academic Writing with AI
The speaker continues to explore AI tools for academics, focusing on Jenny AI's features for document formulation, referencing, and content creation. They demonstrate how Jenny AI can assist in writing academic texts, including the creation of section subheadings and the ability to integrate citations in various styles. The speaker also discusses the potential integration of support for reference management tools like Mendeley and Zotero. Additionally, they introduce Hey GPT, a tool that allows interaction with files and websites, providing examples of how it can create outlines from uploaded papers and engage with online content. The speaker sees this as a valuable tool for scientists, allowing them to chat with PDFs and websites, and they express excitement for the future development of these AI tools.
🔍 AI Agents: The Future of Academic Assistance
The speaker delves into the concept of AI agents, which are capable of spawning tasks and working towards common goals. They discuss their experience with Auto GPT and Agent GPT, tools that allow users to automate the collection of information and perform multiple tasks simultaneously. The speaker provides an example of using an AI agent to gather data on elephant studies and compile it into a text document. While acknowledging that these tools are still in their early stages and can sometimes get stuck in loops, the speaker is hopeful about their potential to become powerful and useful for academic research in the future. They conclude by encouraging viewers to share their experiences with other impressive AI tools and provide resources for further engagement.
Mindmap
Keywords
💡AI tools
💡Academics
💡Research
💡Grant proposals
💡Literature reviews
💡Hey GPT
💡Agents
💡AI assistants
💡Content creation
💡Automation
💡Productivity
Highlights
There is an ongoing arms race in AI tools, particularly for academics and researchers.
Sight is an AI assistant that has made significant advancements, capable of handling tasks like drafting essays and supporting research tasks with references from research articles.
Sight's AI can outline specific aims for a grant proposal, including referencing real references.
The AI-generated literature reviews, while not very long, can serve as a good starting point for research structuring.
Jenny AI, despite its initial appearance, offers powerful features for academics, such as document formulation, referencing, and information finding.
Jenny AI allows users to write and edit text with AI assistance, providing citation styles and the ability to add references.
Hey GPT enables chatting on files, websites, and connects GPT to the internet, offering a low-cost lifetime subscription for its tools.
Hey GPT can interact with PDF documents and websites, providing valuable insights for scientists and researchers.
Agents are AI that can spawn other tasks and work towards a common goal, a concept that shows potential for future academic applications.
Auto GPT and Agent GPT are platforms that allow users to automate multiple GPT agents for specific tasks, though currently limited by API costs and potential looping issues.
The presenter has found these AI tools to be the most exciting advances for academics and encourages others to share their discoveries.
The presenter offers exclusive content through a newsletter and resources on academiainsider.com.
The transcript discusses the practical applications of AI tools in academic research and writing, highlighting their potential to streamline and enhance the process.
The use of AI in academia is not without its challenges, as the presenter notes the need for specificity in prompts and the potential for AI to get stuck in loops.
The presenter's experience with various AI tools suggests a future where AI collaboration could significantly change the academic landscape.