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Showing posts with the label Machine Learning

The AI Revolution — History Repeating Itself — On Sentience

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"It's alive" As articulated by Gene Wilder in Young Frankenstein. Geoffrey Hinton, the Nobel Prize-winning computer scientist widely known as the "Godfather of AI", has suggested that today's AI systems may already be conscious. Richard Dawkins — famed for his 1976 book The Selfish Gene and for coining the word "meme" — spent three days conversing with Anthropic's Claude, named one instance "Claudia", and came away struggling to believe that it was not conscious ( UnHerd ; UNILAD Tech ). Futurist Ray Kurzweil continues to predict human-level machine intelligence by 2029 and a technological Singularity around 2045. Less famous people have held wedding ceremonies with AI-generated partners or formed relationships they describe as marriages. Others have grieved the loss of a chatbot after an upgrade or retirement replaced the model with one whose personality no longer felt like the companion they had known. OpenAI's retirement o...

Comparing Audacity's OpenVINO Whisper Transcription LLMs

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Introduction Several months ago, I posed a question in the r/audacity subreddit regarding the differences between various OpenVINO Whisper Transcription models and their impact on transcription quality. Having received no response, I conducted this comparative study independently. Evaluating the performance of these models across diverse audio content is essential for a comprehensive assessment. This report compares four audio processing models: base , small , medium , and large-v3 . The analysis encompasses scores achieved by each model on ten different audio tracks (labelled Track 1 through Track 10), along with their respective processing durations. The objective of this analysis is to provide a data-driven foundation for assessing each model’s effectiveness, examining their processing efficiency, and identifying the strengths and weaknesses of each model.   Analysis Data All tracks, outputs from the different Audacity models, source code used to generate the scores, and in...

AI Got It Wrong - Comprehension

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We evaluate the ability of different AI systems to comprehend complex narratives. We use a modified version of the nursery rhyme "Jack and Jill," where they ascend a hill and return on their own two feet, unlike the original version where they tumble "head over heels." The story begins with Jack and Jill having 10 apples. However, it introduces additional details about the distribution of apples between them. Notably, Jill also has oranges, and at some point, Jack is said to pick up two shrivelled apples, which ultimately leads to the correct answer. Some AI systems incorrectly interpret the scenario. Most provide insight into their reasoning processes, which can help readers arrive at the correct conclusion by analysing these explanations. An intriguing observation from this exercise is that semantically confusing information can lead AI systems to produce incorrect outputs. For content creators, particularly in corporate environments where AI may be used to summar...