We??
‘We’ hoeven helemaal geen meerderheid te krijgen. Dit stupide kabinet is aan een stupide experiment begonnen en hoe eerder dat implodeert hoe beter.
Ook na dag 1 van de Beschouwingen blijft de vraag: hoe krijgen we een meerderheid? https://nos.nl/l/2631314
Eight antitrust experts assess what Paramount's pause on WBD acquisition means, which side it benefits most, and where the merger is headed over the next year (Natalie Korach/Status)
https://www.status.news/p/paramount-warner-bros-merger-pause-experts
Following a blockbuster IPO earlier this month,
Elon Musk’s SpaceX experienced a rude awakening.
The rocket company’s shares have now been sliding for four consecutive days,
wiping out nearly all the gains the public offering had initially made.
Now the broader stock market is experiencing a similar and intensifying sell-off.
S&P 500 futures slid 1.6 percent on Tuesday,
while Nasdaq 100 futures dropped 2.8 percent, on track to wipe out over $1 trillio…
Kidney cancer rates near Pfas factory in Lancashire a ‘major source of concern’ https://www.theguardian.com/environment/2026/jun/19/factory-forever-chemicals-kidney-cancer-blackpool
Skellow (adj.)
Descriptive of the satisfaction experienced when looking at a really good dry-stone wall.
Douglas Adams & John Lloyd, The Meaning of Liff https://tmoliff.blogspot.com/2012/09/skellow-adj.html
Every Face Is Doing Something
A viral post claims the West never once produced the Buddha's expression across twenty-five centuries of art....
https://bolesblogs.com/2026/07/28/every-face-is-doing-something/
Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis
Ameena Khan, Muhammad Ahsan Aziz, Muhammad Junaid Asif, Naeem Akhter, Rana Fayyaz Ahmad
https://arxiv.org/abs/2607.20579 https://arxiv.org/pdf/2607.20579 https://arxiv.org/html/2607.20579
arXiv:2607.20579v1 Announce Type: new
Abstract: Deepfake news refers to AI-generated (or AI ma-nipulated) multimedia content intentionally generated to deceive audiences by manipulating the facial expressions, or speech while maintaining the realistic appearance. The rapid progress of generative AI has made the synthesis of highly realistic fake videos and cloned voices widely accessible, posing a serious threat to the authenticity of digital news media. This paper presents a multi-modal framework that discerns the authenticity of video content by jointly exploiting audio and visual cues, thereby addressing the challenge of detecting the deepfake videos. We proposed a framework that involves features extraction from lip movements, audio content and video frames. Lip movements and speech content are encoded using the LipNet and DeepSpeech2 models, while facial features are extracted by leveraging the use of BlazeFace and represented with ResNet18. The extracted feature vectors are concatenated into a holistic video representation and classified with an ensemble of machine learning and deep learning models, including Random Forest (RF), Multi-layer Perceptron (MLP) and Long Short-Term Memory (LSTM) networks. Exten-sive experiments performed on the FakeAVCeleb dataset shows that the proposed approach attains an accuracy of 94% using augmented audio features, outperforming a state-of-the-art multi-modal ensemble baseline. The results confirm the robustness and practical potential of the proposed framework for deepfake news detection.
toXiv_bot_toot
"Kidney cancer rates near Pfas factory in Lancashire a ‘major source of concern’"
#UK #UnitedKingdom #PFAS #ForeverChemicals