Forwarded from Doomsday Fitness (Aries)
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Yummers automation
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Forwarded from Doomsday Fitness (Aries)
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π€£7π₯°1
Forwarded from Doomsday Fitness (Aries)
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π8β€βπ₯1β€1
Forwarded from MetaHuman(Doomsday)
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Haters will say itβs AI
Advanced methods & tactics that explore elite levels of human performance
https://t.me/metahumandoomsday
Advanced methods & tactics that explore elite levels of human performance
https://t.me/metahumandoomsday
π2π€―2π€£2
Forwarded from Doomsday Tradecraft
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Itβs 2026 and you donβt have a Cyberdeck Protected by a Faraday Cage/Bag
Warlord my Ass!!!
https://t.me/DoomsdayTradecraft
Warlord my Ass!!!
https://t.me/DoomsdayTradecraft
β€3
Forwarded from DoomPosting
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Berlin police turn water cannons into cooling mist as heatwave hits 39.9Β°C
π³πΎπΎπΌπΏπ€π π πΈπ½πΆ
π³πΎπΎπΌπΏπ€π π πΈπ½πΆ
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Forwarded from Chat GPT
This is a magnetoencephalography (MEG) machine
Meta trained brain2qwerty v2 by having 9 volunteers wear one while typing for 10 hours each
Meta trained brain2qwerty v2 by having 9 volunteers wear one while typing for 10 hours each
Forwarded from Chat GPT
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Meta: Weβre sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2.
Building on v1, which was published today in Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication.
We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating.
We trained Brain2Qwerty v2 on ~22,000 sentences from 9 volunteers, each recorded for 10 hours wearing an MEG device while typing.
By using end-to-end deep learning on raw brain signals from MEG devices and fine-tuning LLMs, the system effectively bridges the gap between noisy neural data and coherent language.
The results are promising:
- Avg word accuracy of 61% across participants
- 78% word accuracy and 50%+ of sentences decoded with β€ 1 word error for the top-performing participant
- Performance scales log-linearly with data volume
To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwerty v1 and v2, and our partner, bcbl_, is releasing the v1 dataset.
Building on v1, which was published today in Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication.
We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating.
We trained Brain2Qwerty v2 on ~22,000 sentences from 9 volunteers, each recorded for 10 hours wearing an MEG device while typing.
By using end-to-end deep learning on raw brain signals from MEG devices and fine-tuning LLMs, the system effectively bridges the gap between noisy neural data and coherent language.
The results are promising:
- Avg word accuracy of 61% across participants
- 78% word accuracy and 50%+ of sentences decoded with β€ 1 word error for the top-performing participant
- Performance scales log-linearly with data volume
To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwerty v1 and v2, and our partner, bcbl_, is releasing the v1 dataset.
Forwarded from Chat GPT
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π§ β¨οΈ Decode language from brain activity without surgery. π§ β¨οΈ
Brain2Qwerty V1 is officially published in Nature Neuroscience. Today, we're releasing Brain2Qwerty V2.
We achieve unprecedented performance for a non-invasive MEG setup.
Weβre happy to announce 2 releases today:
- π§ Brain2qwerty v1 is published at @NatureNeuro
- π Brain2Qwerty v2 is now publicly released
Explore how we decode sentences from non-invasive brain recordings:
Website
Brain2Qwerty V1 is officially published in Nature Neuroscience. Today, we're releasing Brain2Qwerty V2.
We achieve unprecedented performance for a non-invasive MEG setup.
Weβre happy to announce 2 releases today:
- π§ Brain2qwerty v1 is published at @NatureNeuro
- π Brain2Qwerty v2 is now publicly released
Explore how we decode sentences from non-invasive brain recordings:
Website
Forwarded from Azazel News (Aries)
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Vengaboys Up & Down ππ
Chip Chip
The Sky is Not the Limit π
The Black World has always been around you, hidden in plain sight
Chip Chip
The Sky is Not the Limit π
The Black World has always been around you, hidden in plain sight
Forwarded from Azazel News (Aries)
Be very careful which Neural Enhancements you get
If you go with Blue Faction (Elon) π¦π§ or Red Faction (Apple) π₯π§
If you go with Blue Faction (Elon) π¦π§ or Red Faction (Apple) π₯π§