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This is an open list of web crawlers associated with AI companies and the training of LLMs to block
Le boom de l'IA menace sérieusement le climat. Plutôt que de cheminer vers l’objectif de neutralité carbone prévu par les Accords de Paris, les grandes puissance mondiales sont actuellement en train de s’en détourner, notamment du fait de la voracité énergétique de l'ogre IA. Un appétit qui a pour effet collatéral de relégitimer la production d'énergie nucléaire ainsi que les sources fossile.
We are at a critical threshold in our computational futures. Investment in artificial intelligence (AI) is booming, and its application across society is accelerating at an unprecedented scale. Meanwhile in 2024, the 1.5C global warming limit was surpassed across the entire year, and the boundaries of several life-supporting planetary systems have been exceeded. Devastating heat waves, storms, fires and floods remind us of how human activity impacts all life on this planet.
This formulated list diligently records strategically offensive methodologies and purposefully orchestrated tactics intended to facilitate (algorithmic) sabotage, including the deliberate disruption of systems and processes, alongside the targeted poisoning or corruption of data within the operational workflows of artificial intelligence (AI) systems. These approaches seek to destabilize critical mechanisms, undermine foundational structures, and challenge the overall reliability, functionality, and integrity of AI-driven frameworks.
The popularisation of artificial intelligence (AI) has given rise to imaginaries that invite alienation and mystification. At a time when these technologies seem to be consolidating, it is pertinent to map their connections with human activities and more than human territories. What set of extractions, agencies and resources allow us to converse online with a text-generating tool or to obtain images in a matter of seconds?
There is currently a lot of enthusiasm about the use of AI in cultural practices. Generative media is nothing new, and today's AI tools could be seen in the direct lineage of algorithmic techniques used in art, music, and design since the eighties. Is it really the same though? Also why should we care? Can we pause the prompting hype for a sec and discuss a bit what's going on?
livewhisper.py outputs psuedo-live sentence-by-sentence dictation to terminal. Using OpenAI's Whisper model, and sounddevice library to listen to microphone. Audio from mic is stored if it hits a volume & frequency threshold, then when silence is detected, it saves the audio to a temp file and sends it to Whisper.
The python library easy_whisper is an easy to use adaptation of the popular OpenAI Whisper for transcribing audio files.
Whisper realtime streaming for long speech-to-text transcription and translation
Real-time Speech To Text using Faster Whisper.
Real-time Speech To Text using Faster Whisper.
Chaîne YouTube pour coder une AI en Deep Learning from scratch
It's time to talk about the Ludding times. That's how they talked about it, those who were there, when readying themselves for an insurrection a few years later. The Ludding times of 1811 to 1816, when communities in Nottinghamshire, Lancashire and the West Riding of Yorkshire rose up against the machines. The Ludding times, with all their similarities to our own times. What can we learn from the Luddites? What can we learn from the heft of a hammer and the idea that, as a later revolutionary said, the urge to destroy is also a creative urge?
Une liste d'incidents relatives aux intelligences artificielles
Projet de recherche sur l'AI