Yes, ChatGPT is still cool.

Learn why it still sucks.


BLT Stands for Belief, Locality, Transparency.

Belief Modeling, Local Knowledge, and Transparency are three things all today’s chatbots suck at, and here’s why this triple, much like Bacon, Lettuce, and Tomato in a sandwich, is a tasty extra.


A minimalist and sleek design of a classic hamburger. The logo features a perfectly rounded bun with a glossy top, containing layers of lettuce, a juicy patty, a slice of tomato, bacon, and melted cheese. The colors are soft and pastel-like, giving the logo a modern and clean appearance. The simple yet elegant design focuses on the burger’s shape and proportions, making it instantly recognizable and appealing.

1. Belief Modeling.

Contemporary chatbots largely fail at choosing the appropriate level of confidence when conveying uncertain information. Although there are mathematical ways to address that (e.g., belief functions), their comparative utility is yet to be explored.


A stylized logo of a burger with lettuce, tomato, bacon, cheese, and a sesame seed bun sitting on top of a laptop keyboard. Bacon, lettuce, and tomato, are illustrated with vivid colors, emphasizing the layers and ingredients. The laptop underneath is drawn in a monochromatic style, with a classic design that includes a visible trackpad and keyboard, highlighting a blend of technology and food imagery.

2. Local Knowledge.

Most chatbots rely on user data being sent to a cloud server for processing, which limits a casual user’s opportunity to rely on their own infrastructure and storage and compromises privacy.

Consider free-to-use, user-friendly tools such as Ollama and Open WebUI that allow one to try and run the best models locally on their own computer, including some local knowledge management.


A vibrant and dynamic logo of a burger that also incorporates a pencil. The burger, with visible layers of cheese, lettuce, tomato, bacon, patty, and a patterned bun, is paired with a pencil that runs diagonally through the top bun. The design is cartoonish and colorful, with bold outlines and a slightly exaggerated form, giving it a playful and creative vibe. The background is transparent with small, scattered drawing tools, and there is a checkmark icon in the upper left corner, suggesting a theme of creativity and completion.

3. Transparency Builds Trust.

Many chatbots have been launched, but they often lack comprehensive documentation and do not specify the models and approaches used.

Note that open source models such as Llama offer a competitive experience while allowing for a more reproducible workflow when documentation is key.


BLT Or They’re The Same Chatbot.

In summary, consider not putting much trust in another AI startup for the time being, even if it promises a magic solution. Wait for the BLT features to start getting more traction.

In the meantime, large language models (LLMs) such as GPT 4, Google Gemini, Claude, and a myriad of others are at your service, often free of charge or at an affordable cost.


Chat With The Team.

Be Learners Team! Embrace large language models and bookmark this page for future updates.

Discuss on GitHub.

Follow on X/Twitter.

Discuss on LinkedIn.