Raqabah accuse #Alstom, et lance un #Warning à la ministre Zaâfrani
#Raqabah accuse dans son communiqué, l’opérateur #français d’avoir versé un « pot-de-vin » d’une valeur de 2,4 millions d’euros pour obtenir l’accord d’acquisition de voitures de #métro au profit de la #STT
Why does #Microsoft want to implement #Recall? It's not about images. It's about modelling what workers do on Windows, and then replacing them.
The most expensive part of a computer is the fallible feelings-filled unpredictable meat sack that operates it.
Google has YouTube, Google Photos, Maps, and a bucket load of search data, Google Analytics, advertising, as well as it's #GCP data (e.g. #STT transcriptions). And a bunch of data from Android services. From this data they can model speech, model videos and model advertising systems, and how humans respond to them.
But they can't model what people do on computers.
Amazon has Prime data, and a bucket load of compute. But no operating system data. They can build models based around e-commerce and advertising systems.
But they can't model what people do on computers.
Meta has waves hands enough analytics to model human behaviour in the Metaverse.
But they can't model what people do on computers.
Microsoft has GitHub.
Microsoft has LinkedIn.
Microsoft has SharePoint.
Microsoft has Teams.
Microsoft has Dynamics.
Microsoft has O365.
Microsoft has Windows telemetry data.
Microsoft can model what people do on (Windows) computers. Like fill out spreadsheets.Write emails. Synthesize web pages of research. Interact with colleagues on Teams. Create and edit documents.
Microsoft wants #MicrosoftRecall data so they can model what people do with operating systems.
Then replace them.
Imagine a CoPilot that doesn't just write buggy code. Imagine one that also does spreadsheets. That creates documents on SharePoint. That communicates with colleages on Teams. That has a customer pipeline on Dynamics.
That's what Recall is about - 360 degree surveillance of the worker, to model their functions, make them fungible, replicable - and replaceable.
To clear up the hashtags a little bit:
Think of the components of a voice assistant / smartspeaker.
You need #stt (speech-to-text) or #asr (automatic speech recognition) on the "input" side of a user request and #tts (text-to-speech) on the "output" side.
To throw in another technology - #nlp (natural language processing) is used in the "middle" to really understand what the user request is all about.
Somebody asks for a desktop alternative to MacWhisper for Windows (i.e. speech to text transcriber) and somebody else recommends a cloud Google service. Should we call that second person a simpleton with a cloudy mind?
acabo de descobrir una aplicació que és la canya al @fdroid . aquest missatge està pràcticament tot dictat a aquest teclat de reconeixement de veu, que té molts idiomes inclòs al català. realment pensava que el reconeixement de veu utilitzant un android totalment lliure era una quimera, però veig que no. l'única cosa que li haig d'indicar és la puntuació i alguna paraula que no és purament catalana, com "f-droid"
If you have to do Speech-to-Text and Text-to-Speech tasks and don't want to send your data to the Internet, I recommend you to try Speech Note (Linux desktop app).
It is easy to use, works offline and supports 57 languages!
You might be a #linguist, or an #ML#engineer, doing things like data specifications, filtering or pre-processing or training #ASR, #STT or #TTS models, or you might work in #fairness or #bias evaluation.
If so, I’d love your help to understand current #dataset#documentation practices, and what we can do to make them better as part of my #PhD#research 🤓 ⌨️ 🎤
The #survey takes 10-20 minutes to complete, and you can opt in to win one of 3 gift cards valued at $AUD 50 each.
Research Protocol 2021/427 approved by #ANU Human Research Ethics Committee
You might be a #linguist, or an #ML#engineer, doing things like data specifications, filtering or pre-processing or training #ASR, #STT or #TTS models, or you might work in #fairness or #bias evaluation.
If so, I’d love your help to understand current #dataset#documentation practices, and what we can do to make them better as part of my #PhD#research 🤓 ⌨️ 🎤
The #survey takes 10-20 minutes to complete, and you can opt in to win one of 3 gift cards valued at $AUD 50 each.
Research Protocol 2021/427 approved by #ANU Human Research Ethics Committee