The hottest Chatbots Substack posts right now

And their main takeaways
Category
Top Technology Topics

How's that AI tsunami looking, a year on?

Social Warming by Charles Arthur • 117 implied HN points • 28 Jul 23
🕹 Technology AI Content Generation Chatbots Large Language Models
  1. The AI landscape has rapidly evolved in the past year with the emergence of tools like ChatGPT and AI illustration programs.
  2. AI systems are being used for various creative tasks like generating content, illustrations, and even entire videos.
  3. Challenges arise as AI-generated content seeps into different aspects of society, raising concerns about identification and integrity.
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Why can't I be a dick to AI?

The Rectangle • 113 implied HN points • 23 Feb 24
🕹 Technology AI Chatbots Ethics Big Tech Human-computer interaction
  1. We often treat AI with politeness and empathy because our brains expect something that talks like a human to be human.
  2. Despite AI being just a tool, companies make them human-like to leverage our trust and make us more receptive to their messages.
  3. There's a societal expectation to be decent even towards artificial entities, like AI, even though they're not humans with feelings and consciousness.

Dead Internet Theory

Brain Lenses • 58 implied HN points • 16 Jan 24
🕹 Technology AI Conspiracy Theories Social media Chatbots Artificial Intelligence
  1. A conspiracy theory suggests that the internet is dominated by automated messages and bots, pushing humans out of online conversations.
  2. The increasing presence of AI-generated content raises concerns about overwhelming human-produced content and potential communication difficulties.
  3. There are worries that excessive AI content may lead to decreased human interaction on online platforms.

The Conversational AI Technology Landscape: Version 5.0

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 14 May 24
🕹 Technology AI Chatbots Voicebots Natural Language Processing Machine Learning
  1. Voicebots add more complexity to chatbots, requiring new technologies like ASR and TTS. They need to handle issues like latency and background noise to provide a smooth experience.
  2. Agent desktops must integrate well with chatbots to improve customer service. This helps agents access information quickly and provides suggestions to handle customer interactions better.
  3. Cognitive search tools can enhance chatbots by allowing them to access a wider range of information. This helps them answer more diverse questions from users effectively.

The movie isn't alive

Sunday Letters • 39 implied HN points • 19 Feb 24
🕹 Technology AI Chatbots Cognitive Science Perception Media
  1. Humans often see faces in things that don't have them, which shows how our minds can trick us. This idea extends to chatbots, which can seem alive but are really just processing prompts without true understanding.
  2. Chatbots may appear to have memory or awareness in a conversation, but they actually rely on previous prompts without retaining any real continuity. This can make interactions feel more human-like, even though they lack true awareness.
  3. It's helpful to recognize that chatbots and similar technologies are more about creating illusions than actual intelligence. Understanding this can improve how we design and use them, rather than expecting them to behave independently like a living being.

Run A Small Language Model (SLM) Local & Offline

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 14 Feb 24
🕹 Technology AI Machine Learning Data Privacy Software Development Chatbots
  1. Small Language Models (SLMs) can be run locally, giving you more control over your data and privacy. This means you can use them even without an Internet connection.
  2. SLMs are great for specific tasks that don't need the power of larger models, such as simple text generation or sentiment analysis. They can do a lot with less resource demand.
  3. Using SLMs can help businesses reduce costs related to API limits and data privacy issues. They also address delays that come with using larger models.

Graph Neural Networks in Tensorflow

MLOps Newsletter • 39 implied HN points • 10 Feb 24
🕹 Technology LLMs Chatbots Frameworks Models
  1. Graph Neural Networks in TensorFlow address data complexity, limited resources, and generalizability in learning from graph-structured data.
  2. RadixAttention and Domain-Specific Language (DSL) are key solutions for efficiently controlling Large Language Models (LLMs), reducing memory usage, and providing a user-friendly interface.
  3. VideoPoet demonstrates hierarchical LLM architecture for zero-shot learning, handling multimodal input, and generating various output formats in video generation tasks.

Intents Are Not Going Away…RoNID Is A New Intent Discovery Framework

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 26 Apr 24
🕹 Technology AI NLP Chatbots Machine Learning Data science
  1. RoNID helps identify user intents more accurately, allowing chatbots to understand what users really want to talk about. This means better conversations and less frustration.
  2. The framework uses two main steps: generating reliable labels and organizing data into clear groups. This makes it easier to see which intents are similar and which are different.
  3. RoNID outperforms older methods, improving the chatbot’s understanding by creating clearer and more accurate intent classifications. This leads to a smoother user experience.

Sweethearts, Doctors, Teachers…It’s AuToMaTiC

ailogblog • 39 implied HN points • 19 Jan 24
🕹 Technology AI Chatbots Medicine Education
  1. OpenAI is focusing on selling non-romantic companionship through their AI models to create more invested relationships with users.
  2. There are debates regarding the effectiveness of AI models in various fields like tutoring and medicine due to their lack of meaningful reciprocity and understanding.
  3. In education, the potential of AI tools lies in augmenting the classroom and extending help to reach students who may not have access to traditional tutoring.

Step-Wise Controllable Agents From LlamaIndex

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 10 Apr 24
🕹 Technology AI Chatbots NLP Autonomous Agents Software Development
  1. LlamaIndex has introduced a new agent API that allows for more detailed control over agent tasks. This means users can see each step the agent takes and decide when to execute tasks.
  2. The new system separates task creation from execution, making it easier to manage tasks. Users can create a task ahead of time and run it later while monitoring each stage of execution.
  3. This step-wise approach improves how agents are inspected and controlled, giving users a clearer understanding of what the agents are doing and how they arrive at results.

The Real Black Mirror

The Ruffian • 172 implied HN points • 25 Feb 23
🕹 Technology AI Chatbots AI Research Technology Ethics
  1. The history of black mirrors used for visions and prophecies in the 16th century.
  2. John Dee, a sage of the Elizabethan court, used a black mirror for communication with angels and visions of the future.
  3. AI development raises questions about its capabilities beyond simple reasoning and pattern matching.

Text is All You Need

Breaking Smart • 149 implied HN points • 18 Feb 23
🕹 Technology AI Text Chatbots Ethics Future
  1. Personhood may be simpler than we thought, becoming evident through AI chatbots like Sydney.
  2. Computers are now good at being mediocore and flawed, which alarms people more than superhuman abilities.
  3. Text is all you need to produce personhood, stripping away the specialness of human identity.

Craft Successful Conversational User Interfaces: Align User Intent With Developed Intent

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 08 Feb 24
🕹 Technology AI User Interfaces Chatbots Natural Language Digital Tools
  1. It's important to match what users want to talk about with what the chatbot is set up to respond to. This makes conversations smoother and more enjoyable.
  2. Understanding different user intents helps in designing better chatbot interactions. Analyzing common questions can improve how the chatbot replies.
  3. Chatbots should be regularly updated based on user behavior and feedback. This helps keep the chatbot relevant and able to meet changing needs.

How's Gen Z feeling about AI? 🤖

The Digital Native • 39 implied HN points • 01 Aug 23
🕹 Technology AI Chatbots Social media Graphic design Music
  1. AI has a long history in pop culture and is currently experiencing a boom with new technologies like ChatGPT and AI-generated images.
  2. AI is impacting various industries like social media, graphic design, and music, but human creativity and expertise are still valued.
  3. Gen Z has mixed feelings about AI, with many believing it will enhance rather than replace their skills, but also expressing concerns about ethics and regulation.

Mental Health and Chatbots: Making it Work

The Digital Anthropologist • 19 implied HN points • 05 Jan 24
🏥 Health & Wellness Mental health Chatbots AI Healthcare systems
  1. Chatbots can be effective in mental health care but present risks. Stricter oversight and warning labels are needed to ensure safety.
  2. AI tools like Machine Learning are already helping in healthcare. AI can be a critical partner in addressing the growing mental health crisis.
  3. Better collaboration between healthcare and legal sectors could improve the creation and training of mental health chatbots for more accurate and reliable services.

What is “Prompt Injection”, And Why Does It Fool Chatbots?

Am I Stronger Yet? • 31 implied HN points • 17 Jan 24
🕹 Technology AI Security Chatbots Vulnerabilities
  1. Chatbots powered by large language models can be tricked into following malicious instructions.
  2. Prompt injection is a vulnerability where an attacker can sneak instructions into data fed to a chatbot.
  3. A key issue with large language models is the inability to distinguish instructions from data, making them susceptible to harmful prompts.

Cohere Coral

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 23 Nov 23
🕹 Technology AI Chatbots User Interfaces APIs Data Privacy
  1. Cohere Coral is a chat interface that uses large language models and competes with others like ChatGPT. It's designed to be easy to use with no coding required.
  2. Coral can either answer questions based on its existing knowledge or look up information online for the latest answers. This helps provide accurate and timely responses.
  3. The tool allows businesses to customize its features and ensures that data stays private. It's a great option for companies looking to enhance their customer interaction.

Meta-In-Context Learning For Large Language Models (LLMs)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 24 Oct 23
🕹 Technology AI Machine Learning Language Models NLP Chatbots
  1. Meta-in-context learning helps large language models use examples during training without needing extra fine-tuning. This means they can get better at tasks just by seeing how to do them.
  2. Providing a few examples can improve how well these models learn in context. The more they see, the better they understand what to do.
  3. In real-world applications, it's important to balance quick responses and accuracy. Using the right amount of context quickly can enhance how well the model performs.

AI vs. Humans

aidaily • 19 implied HN points • 12 Oct 23
🕹 Technology AI Chatbots Digital Tools Software
  1. AI cannot replace human creativity, innovation, and mentorship in the workplace.
  2. Some organizations are taking steps to protect their content from being misused by AI.
  3. While some AI applications are generating high revenues, others are facing challenges in sustaining growth.

How much do AI chatbots know about the Finnish history?

Ahpocalypse Now • 19 implied HN points • 28 Feb 23
💾 History Chatbots Artificial Intelligence Historical Events Accuracy
  1. When testing AI chatbots with questions on Finnish history, the farther the topic is from well-known subjects, the worse the AI performs.
  2. Comparing OpenAI's ChatGPT with Microsoft's Bing, Bing may require more specific prompts to provide detailed answers.
  3. AI chatbots like ChatGPT and Bing may offer inaccurate or hallucinated information, highlighting the importance of fact-checking and verifying information when using AI for historical research.