Error codes

coding, computer, hacker, hacking, html, programmer, programming, script, scripting, source code, coding, coding, coding, coding, computer, computer, hacker, hacker, hacker, hacker, hacker, hacking, hacking, programming, programming

There is no error code in the answers that are provided by AI prompts. It will return an answer that is the best fit to the prompt or the question, but it does not tell you the probability that it is not correct or that it is low probability of answer. The conversational AI will not return a probability function though it does follow a reasoning model. An easy example is to ask your AI model to create a picture of you based on your resume or based on your characteristics that you describe. It will create a face that is a representation of you but it is not you and it cannot create the exact you. That is expected. However what is unusual is that it does not give you an error on what it created nor does it actually tell you that it is not true.

Observability is important and human in the loop may be critical.

Similar Posts

  • Detection of AI created content

    As AI has progressed generating code, writing, music or other intelligent language based skills through an LLM there is a parallel growth in detection of AI generated content.  Like everything AI, it is a probability game. Trying to estimate the combination of words/tokens and comparing with what is in the model. Using a standard model…

  • | |

    Functional prediction of microbial sequences

    Even with E.coli and M.tuberculosis we only know ½ of them. Can you use ML model to define function: as natural language, or molecular interaction or chemical reaction. Function as molecular interaction: protein – protein interaction. Genomics: Learn association between genes (just like words). It is called gLM2. A multi-modal single residue resolution gLM. GLM2…

  • Observability

    Observability is important for AI and AI tools. It is the ability to monitor them for token usage, response quality and model drift. Typically, an AI system is monitored through logs, traces and metrics but an AI system on AI agent may need other metrics. Troubleshooting a complex AI system that produces its output probabilistically…

  • |

    Open source protein models

    A company called Profluent (profluent.bio) has been developing protein models that can be used for designing new proteins (https://www.nature.com/articles/s41587-022-01618-2), modeling of new CRISPR-Cas sequences (https://www.nature.com/articles/s41586-025-09298-z) and developing LLM for protein generation (https://www.biorxiv.org/content/10.1101/2025.11.12.688125v1.article-info). What is amazing is that they have open sourced all their models and Profluent-E1 is available in GitHub to download and use. (https://github.com/Profluent-AI/E1)…