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Experts are warning pre-school children's speech and language development is in "steady decline" due to an over-reliance on screen time Speech and language consultant Nicky West spoke to #BBCBreakfast
13,493 просмотров • 1 год назад •via X (Twitter)
Комментарии: 11
Due to shite parenting
Parents need to parent - I live by a primary school and it’s unusual to see an adult accompanying a child not on their phone and more often than not a child in a pushchair has a device too.
Like the plot to a dystopian movie, New York will now monitor social media writings, collect data, and use law enforcement to crack down on any expression it deems to be hate speech.
@up_the_ARSE_nal
Weres thy Provf init? Bosh
Why is she mumbling?
Plus the increase in jabs Plus the amount of sugar consumed. Root cause analysis.
Surely, we can’t ignore the bigger issue: Royals enjoy a life of luxury funded by our taxes while pushing for cuts in public services, including education. Maybe the focus should shift from screens to improving our children's futures! #TaxTheRich #BBCBreakfast
Yes, and many babies and toddlers are in day care for 8 to 10 hours a day as parents have to work. The adults do their best in daycare, but it's not the same as having 24/7 1to1 conversations with Mummy or Daddy all day, is it? They have a lot of other kids to look after as well.
Jon looks really smart this morning !! Sally always does.
And it took so called experts to work this out! Must be money for old rope. And no doubt they got a huge grant to work it out instead of just going on a local bus ride and seeing what age children are given devices.
![Google presents AudioPaLM: A Large Language Model That Can Speak and Listen paper page: introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation. AudioPaLM inherits the capability to preserve paralinguistic information such as speaker identity and intonation from AudioLM and the linguistic knowledge present only in text large language models such as PaLM-2. We demonstrate that initializing AudioPaLM with the weights of a text-only large language model improves speech processing, successfully leveraging the larger quantity of text training data used in pretraining to assist with the speech tasks. The resulting model significantly outperforms existing systems for speech translation tasks and has the ability to perform zero-shot speech-to-text translation for many languages for which input/target language combinations were not seen in training. AudioPaLM also demonstrates features of audio language models, such as transferring a voice across languages based on a short spoken prompt.](https://image.24vids.com/tw-1672048076469698561/ext_tw_video_thumb/1672047839378300928/pu/img/MuoOBsAyUd-HAI7D.jpg)
