Martin Degeling
@mrtn3000.chaos.social.ap.brid.gy
Freelancer working with AI Forensics and Institute for Strategic Dialogue. Platform auditing, TikTok, Privacy
[bridged from https://chaos.social/@mrtn3000 on the fediverse by https://fed.brid.gy/ ]
[bridged from https://chaos.social/@mrtn3000 on the fediverse by https://fed.brid.gy/ ]
[TikTok / LLM Analysis]
In the end, each video took around 5 minutes to process. Does not scale to millions very well, but I still prefer it over spending money on some data center.
The M2 is also pretty energy efficient compared to separate GPUs (maxed at 50-60 W under full load). And at the […]
In the end, each video took around 5 minutes to process. Does not scale to millions very well, but I still prefer it over spending money on some data center.
The M2 is also pretty energy efficient compared to separate GPUs (maxed at 50-60 W under full load). And at the […]
Original post on chaos.social
chaos.social
October 20, 2025 at 9:35 AM
[TikTok / LLM Analysis]
In the end, each video took around 5 minutes to process. Does not scale to millions very well, but I still prefer it over spending money on some data center.
The M2 is also pretty energy efficient compared to separate GPUs (maxed at 50-60 W under full load). And at the […]
In the end, each video took around 5 minutes to process. Does not scale to millions very well, but I still prefer it over spending money on some data center.
The M2 is also pretty energy efficient compared to separate GPUs (maxed at 50-60 W under full load). And at the […]
[TikTok / LLM Analysis]
We used the music2emo (https://huggingface.co/spaces/amaai-lab/music2emo) model to get a textual description of the mood of the underlying sound and combined screenshots in collages to reduce the input to the vision-capable qwen model.
We used the music2emo (https://huggingface.co/spaces/amaai-lab/music2emo) model to get a textual description of the mood of the underlying sound and combined screenshots in collages to reduce the input to the vision-capable qwen model.
Music2emo - a Hugging Face Space by amaai-lab
Upload an audio file to analyze its emotional characteristics. The model predicts mood tags, valence (positivity), and arousal (intensity) scores.
huggingface.co
October 20, 2025 at 9:31 AM
[TikTok / LLM Analysis]
We used the music2emo (https://huggingface.co/spaces/amaai-lab/music2emo) model to get a textual description of the mood of the underlying sound and combined screenshots in collages to reduce the input to the vision-capable qwen model.
We used the music2emo (https://huggingface.co/spaces/amaai-lab/music2emo) model to get a textual description of the mood of the underlying sound and combined screenshots in collages to reduce the input to the vision-capable qwen model.
[TikTok / LLM Analysis]
Our resources are limited and I favor local models over intransparent cloud services. So I build a pipeline around Ollama using a Mac with 32GB RAM and an M2 processor to first process the different channels of the posts […]
[Original post on chaos.social]
Our resources are limited and I favor local models over intransparent cloud services. So I build a pipeline around Ollama using a Mac with 32GB RAM and an M2 processor to first process the different channels of the posts […]
[Original post on chaos.social]
October 20, 2025 at 9:29 AM
[TikTok / LLM Analysis]
Our resources are limited and I favor local models over intransparent cloud services. So I build a pipeline around Ollama using a Mac with 32GB RAM and an M2 processor to first process the different channels of the posts […]
[Original post on chaos.social]
Our resources are limited and I favor local models over intransparent cloud services. So I build a pipeline around Ollama using a Mac with 32GB RAM and an M2 processor to first process the different channels of the posts […]
[Original post on chaos.social]
@boesch.bsky.social
die ganze Studie beweist ja eigenltich genau das, weil sie Daten von vor 12 Jahren benutzt haben. Es ist nicht mehr alles auf den original webservern, aber anderswo archiviert.
die ganze Studie beweist ja eigenltich genau das, weil sie Daten von vor 12 Jahren benutzt haben. Es ist nicht mehr alles auf den original webservern, aber anderswo archiviert.
September 15, 2025 at 9:20 AM
@boesch.bsky.social
die ganze Studie beweist ja eigenltich genau das, weil sie Daten von vor 12 Jahren benutzt haben. Es ist nicht mehr alles auf den original webservern, aber anderswo archiviert.
die ganze Studie beweist ja eigenltich genau das, weil sie Daten von vor 12 Jahren benutzt haben. Es ist nicht mehr alles auf den original webservern, aber anderswo archiviert.
[Mention of Kirk incident on TikTok]
At the same time Instagram is doing way less to take videos offline that, I guess, you would not stay uncensored on any other media. If you search for kirk the first video with now more than 19M views still shows the original content but added a short […]
At the same time Instagram is doing way less to take videos offline that, I guess, you would not stay uncensored on any other media. If you search for kirk the first video with now more than 19M views still shows the original content but added a short […]
Original post on chaos.social
chaos.social
September 12, 2025 at 7:08 AM
[Mention of Kirk incident on TikTok]
At the same time Instagram is doing way less to take videos offline that, I guess, you would not stay uncensored on any other media. If you search for kirk the first video with now more than 19M views still shows the original content but added a short […]
At the same time Instagram is doing way less to take videos offline that, I guess, you would not stay uncensored on any other media. If you search for kirk the first video with now more than 19M views still shows the original content but added a short […]
[Mention of Kirk incident on TikTok]
I monitored some videos that show the raw footage of the shooting yesterday on #tiktok an provided data to this article: https://www.wired.com/story/charlie-kirk-shot-videos-spread-social-media/
It's worth noting that as of today TikTok (or the creators) […]
I monitored some videos that show the raw footage of the shooting yesterday on #tiktok an provided data to this article: https://www.wired.com/story/charlie-kirk-shot-videos-spread-social-media/
It's worth noting that as of today TikTok (or the creators) […]
Original post on chaos.social
chaos.social
September 12, 2025 at 7:05 AM
[Mention of Kirk incident on TikTok]
I monitored some videos that show the raw footage of the shooting yesterday on #tiktok an provided data to this article: https://www.wired.com/story/charlie-kirk-shot-videos-spread-social-media/
It's worth noting that as of today TikTok (or the creators) […]
I monitored some videos that show the raw footage of the shooting yesterday on #tiktok an provided data to this article: https://www.wired.com/story/charlie-kirk-shot-videos-spread-social-media/
It's worth noting that as of today TikTok (or the creators) […]
@boesch.bsky.social We're working on a report that will be out soon on what is wrong with the API data!
June 4, 2025 at 9:48 AM
@boesch.bsky.social We're working on a report that will be out soon on what is wrong with the API data!
I gave some comments for why the ad library is broken for this article: https://www.techpolicy.press/experts-echo-eu-concerns-over-tiktoks-ad-transparency-gaps/
Experts Echo EU Concerns Over TikTok’s Ad Transparency Gaps | TechPolicy.Press
The European Commission’s preliminary findings echo longstanding concerns from researchers about ad transparency, writes Ramsha Jahangir.
www.techpolicy.press
May 20, 2025 at 8:57 AM
I gave some comments for why the ad library is broken for this article: https://www.techpolicy.press/experts-echo-eu-concerns-over-tiktoks-ad-transparency-gaps/
To their defense. It got better. After multiple tries the VCE ran a query for 100 videos in just over 80 seconds.
Imagine the actual app being that slow 🤷
Imagine the actual app being that slow 🤷
April 2, 2025 at 11:47 AM
To their defense. It got better. After multiple tries the VCE ran a query for 100 videos in just over 80 seconds.
Imagine the actual app being that slow 🤷
Imagine the actual app being that slow 🤷