Impertinent

Impertinent Substack provides unique insights into the evolving landscape of AI, no-code platforms, and productivity software, emphasizing the transformative impact of generative AI and smart documents. It critically examines the implications of AI in software development, automation, and the potential shift towards more user-friendly interfaces and custom solutions.

Generative AI No-Code Platforms Software Development Productivity Tools AI Integration Technical Debt Automation

The hottest Substack posts of Impertinent

And their main takeaways

AI Must Think Before IT Speaks, But Sometimes it Shouldn't Speak At All

59 implied HN points • 27 Oct 24
🕹 Technology AI Real-Time Processing Machine Learning
  1. AI models should learn to think carefully before speaking. This helps them provide better responses and avoid mistakes.
  2. Sometimes, AI doesn't need to say anything at all to be helpful. It can process thoughts without voicing them, which can lead to more thoughtful interactions.
  3. In real-time voice systems, it's important to manage what the AI says. Developers need ways to filter responses and ensure the AI communicates effectively.

Vision Changes Everything

59 implied HN points • 23 Oct 24
🕹 Technology AI Automation Software Development Innovation
  1. Vision is the key to designing technology, as shown by Tesla's reliance on cameras for self-driving cars. This approach means that our environment and technology should work hand in hand with how humans naturally see and interpret the world.
  2. Anthropic's new AI model allows computers to interact more like humans by using an API to understand computer interfaces. This means that the AI can perform tasks on web applications, making it easier for developers to automate processes.
  3. The new capabilities from the AI can enhance app testing by allowing automated agents to perform tasks, record actions, and generate testing data. This leads to more efficient software development and better quality assurance.

Real-time AI Voice Agents and Determinism Through Tool-Calling

79 implied HN points • 06 Oct 24
🕹 Technology AI Software Research Development Innovation
  1. Generative AI often faces uncertainty, but there may be ways to achieve reliable reasoning. It's exciting to learn that we can improve the predictability of AI outcomes.
  2. A big project in AI development can lead to many challenges and uncharted areas. Even if some efforts end in failure, it's important to find and build on the valuable lessons learned.
  3. Real-time AI voice agents have the potential to change how we interact with technology. This could make using AI smarter and more effective in our daily lives.

Technical AI Debt

119 implied HN points • 21 Dec 23
  1. AI will increase technical debt.
  2. Building anything incurs debt due to implementation strategies.
  3. Technical debt is a common term in software development.

ChatGPT: The Copilot Without a Plane

119 implied HN points • 23 Oct 23
  1. ChatGPT may not offer high value compared to other generative AI activities.
  2. For generative AI to create high value, it needs an integrated work context and real-time data.
  3. Integrated inferencing that doesn't require lengthy conversations is essential in generative AI.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Bye-Bye Vertical SaaS, Blame it on No-Code

79 implied HN points • 07 Jan 24
  1. No-code is disrupting the vertical SaaS market by offering faster deployment and lower costs.
  2. No-code platforms can replace multiple vertical SaaS solutions with a single seat license.
  3. Despite its shortcomings, no-code solutions are cost-effective and flexible, providing good enough functionality for most users.

Coda, Gemini, No-code, and GPT Store: Some Thoughts

59 implied HN points • 17 Jan 24
  1. Coda needs to consider a mobile strategy for generative AI.
  2. The era of LLM agnosticism is here, leading to significant changes for digital platforms.
  3. Having a variety of LLMs to choose from is crucial for the future of AI work.

Smart Documents

159 implied HN points • 13 Jun 23
  1. Google Docs was originally called Writely before Google acquired it.
  2. Coda is rolling out an AI beta, prompting reflections on modern documents.
  3. Impertinent's post discusses the concept of 'Smart Documents'.

No-Code-AI: The Coming Science of Solutions

99 implied HN points • 04 Oct 23
  1. The future involves a fusion of no/low-code with generative AI.
  2. Convergence of these technologies is happening gradually.
  3. A new era of hyper-intelligent solution development with minimal code may emerge.

Zapier Wants to be Your No-code One-stop Shop

79 implied HN points • 07 Nov 23
  1. Zapier aims to dominate the no/low-code market with new features like Interfaces and Tables.
  2. Users can now connect form-like UIs with Zapier Tables and automate processes for free.
  3. No-code solutions can be easily built within Zapier, offering integration with thousands of other apps.

Prompts Must Go

39 implied HN points • 06 Feb 24
  1. Generative AI prompts are not as innovative as they seem, and they can lead to poor outcomes.
  2. Creating prompts for generative AI requires intellectual effort and can be time-consuming.
  3. Prompts in generative AI can contribute to security, privacy, and accuracy risks, showing a need for software solutions to mitigate these problems.

Bye Bye Bard, Hello Gemini

39 implied HN points • 04 Feb 24
  1. Google rebranded its AI model from Bard to Gemini and introduced new features like Gemini Advanced.
  2. Gemini Advanced provides access to Google's most capable AI model, Ultra 1.0, for complex tasks and creative collaboration.
  3. The Gemini app is launching in select countries, emphasizing accessibility and collaboration with Google Al.

The Coming Era of LLM-Agnosticism

59 implied HN points • 23 Nov 23
  1. The future might need a new type of AI due to OpenAI's issues
  2. AI integration advancements can feel rewarding and successful
  3. Consider subscribing to continue reading and access more content

Similarity: The Generative AI Powerhouse

39 implied HN points • 30 Jan 24
  1. Generative AI technology can help build intelligent applications quietly behind the scenes
  2. The importance of developing copilots tailored to specific business cases and the need to focus on semantic similarity
  3. Updates in API changes for embeddings by Gemini-Pro and OpenAI are enhancing performance and functionality

The One Rule When Automation Makes Sense

59 implied HN points • 16 Nov 23
  1. Automating workflows and processes can lead to significant increases in productivity
  2. Consider the ultimate guide or rule before automating any process
  3. Be cautious of exaggerated claims about productivity gains through automation

Custom GPTs: Generative AI Wrappers

59 implied HN points • 10 Nov 23
  1. Recent announcements from OpenAI are causing a stir in the world of generative AI.
  2. Many are exploring custom GPTs, some with smart designs that could bring us closer to democratized generative AI.
  3. There will be a surge of interest in custom GPTs, but not all ideas will be well-thought-out.

Software-defined Automation: Obsolete

59 implied HN points • 27 Sep 23
  1. Software-defined automation is becoming obsolete with the rise of generative AI.
  2. Generative AI allows implicit task performance opposed to explicit instructions in software-defined automation.
  3. With the integration of personal data and predictive AI, processes that required manual review are now automated.

No-Code Market Correction

59 implied HN points • 26 Sep 23
  1. Airtable customers facing new pricing policies and limitations.
  2. No-code portal platforms are expanding and impacting services.
  3. Integration and automation tools incorporating low-code functionalities.

Understanding Conversations

79 implied HN points • 17 Jul 23
  1. The author believes AI can assist in quickly assessing conversations.
  2. Automating the process of understanding conversations is a desire.
  3. The requirements for enhancing the understanding include collecting data and identifying key contributors.

OMG! Gemini Has All Your Private Emails!

19 implied HN points • 02 Feb 24
  1. Google has been combining private emails with LLMs since Gmail launched in 2004.
  2. Generative AI is accessible to developers in Google Workspaces, offering features like text embeddings.
  3. Blending generative AI with private messages in apps like Gmail is a feature implementation consistent with past updates.

Magical Briefings

5 HN points • 08 Dec 23
  1. The author uses a note-taking app called acreom that allows them to directly edit files locally in Markdown format.
  2. They leverage generative AI processes and Google Apps Script to enhance their task lists and automate workflows.
  3. The author found success in customizing their approach without the need for complex API coding.