1.5M
ALShould I drop the method #foryou
@alex2learn
#Brain Computer Interface Breakthroughs
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1.0M
ALComment “BRAIN” and I’ll DM you the full guide 🧠
Your AI is resetting every single session.
Every breakthrough. Every decision. Every pattern you spent hours debugging.
Gone.
Not because Claude isn’t smart enough — because you never gave it a memory system.
Here’s what changes when you do:
👾 CLAUDE.md — The first thing Claude reads every session. Not a config file. A teaching document. Your architecture, your conventions, your hard nos. It shows up to every session already knowing who you are.
💾 Auto-memory directory — Claude starts writing down what it learns. Patterns it noticed. Things you corrected. Solutions that worked. Organised into topic files. Persistent across every session from now on.
🧠 Obsidian + MCP — Your vault becomes a live knowledge graph it can search at runtime.
Two MCP servers: smart-connections for semantic search, qmd for structured queries.
The key? Name notes as claims, not categories. Not `memory-systems.md` — `memory graphs beat giant memory files.md`.
The titles alone tell Claude if something’s relevant before it reads a word.
”brain-ingest pipeline” — One command. Paste a YouTube link, a voice memo, a meeting recording.
It downloads, transcribes locally, extracts the key claims and frameworks, and drops a structured note straight into your Obsidian inbox.
That’s the insight from a talk you watched 6 weeks ago — available to Claude today.
Each layer compounds on the last.
Skip one and the others degrade.
Comment “BRAIN” — full guide with MCP config, vault structure, and setup checklist 👇
@alassafi.ai
157.7K
RIYou’re looking at a real neural network. Not the machine learning kind. The biological kind.
Everyone’s building bigger models. I’m building a brain.
I built a neuromorphic AI platform with 1 million spiking neurons, 11 brain regions, and 1.2 billion connections. It doesn’t memorize training data. It learns continuously from real experience, the same way a biological brain does.
The reason I started building this is pretty simple. Every time an AI model gets smarter, it costs more energy, more hardware, more money. A single query to a large language model uses more power than running this entire brain for an hour. That math doesn’t work long term, and I don’t think brute force compute is how intelligence actually works in nature.
So I went the other direction. This system runs on a single CPU, uses less than 5 watts, and never stops learning. No retraining. No massive datasets. No data center. It forms its own concepts, builds associations between things it sees and hears, develops reflexes, and adapts to situations it’s never encountered before. All on its own.
The architecture is modeled after real neuroscience. There’s a sensory cortex for vision, audio, and touch. An association cortex that binds those signals together. A predictive layer that anticipates what comes next and pays more attention when it’s wrong. Motor cortex for movement and speech. A brainstem that manages energy and survival. Every connection strengthens or weakens based on experience. Nothing is hardcoded.
One thing I built in from the start is a safety kernel. Every motor command the brain generates passes through a safety supervisor before it can reach the real world. It checks joint limits, force thresholds, and collision boundaries. If something looks dangerous, the system triggers a reflex withdrawal before the action ever executes. The brain can learn freely, but it can’t act without clearance. That’s not a feature I added later. It’s part of the architecture.
The brain is live right now and will disclose demos to serious individuals. I am looking for researchers that would like to join me in neuromorphic hardware/computing for this next shuttle.
Patent pending
@rio_roue
7
THBci brain computer interface
@thearun_21
1.9M
KAMassive breakthrough…Scientists are using living brain cells to build computers that are ALIVE!
This is a brand new industry of technology called biocomputing.
These are real human neurons that can actually think and learn for themselves.
When scientists combine them with silicon chips they bring the computer to life.
Now if you’re like me, you’re probably wondering one thing…
Why are scientists doing this?
It feels a bit much to be growing human brains just to put them inside of computers.
Well listen to this…it turns out, human brain cells have extremely rare abilities to process things without being trained.
Normal computers need to be taught how to solve certain problems.
It’s why AI models take so much energy and training data to build.
But as soon as you add brain cells to a computer chip, they don’t really need as much training.
They kinda start figuring out what to do on their own, just like a human would.
Now because of this, these biocomputers are super efficient.
A regular supercomputer might use 40M watts of power to solve a complex task.
The human brain can do it in just 20.
That’s 2M times more efficient.
And this means these biocomputers could become the secret weapon to solving humanity’s hardest computational challenges.
But…there is just one massive problem…
Brain cells tend to die when their temperature deviates from 98.6 degrees.
And computers generate a ton of heat.
So we have this wild situation where living computers might be the solve for everything, but it’s almost impossible to keep the brain part alive.
Today, companies like Cortical Labs are selling these biocomputers for $35,000.
But over time, scientists are gonna figure out how to get them stable & more accessible.
It’s wild to say but I think soon we’re gonna have living computers that literally think like humans.
Follow @kallaway for more videos on tech & AI
#ai #artificialintelligence #tech #technology #computing #computer #future #coding #newtech
@kallaway
7.7M
LU🧠 MIT built a brain-computer interface without touching the brain.
While Neuralink needs skull surgery and robotic implants, MIT engineers created the MouthPad—a 0.7mm retainer that sits on the roof of your mouth.
It works like a wireless trackpad. Your tongue controls the cursor. Tap to click. Swipe to scroll. All via Bluetooth.
Over 100 paralyzed users are already using it daily—up to 9 hours straight. One college student with quadriplegia uses it to write math equations in the library where voice systems don’t work.
No surgery. No external wires. Just a custom-fit dental retainer with pressure sensors and a battery.
It’s available now for $1,500 while Neuralink is still in trials.
Would you try tongue-control or wait for the brain implant? 🤔
Save this if you’re into assistive tech innovation 🔖
Credit: @augmentaltech
MIT assistive technology, tongue controlled device, MouthPad, brain computer interface alternative, non-invasive BCI, paralysis technology, quadriplegia assistive device, MIT Media Lab innovation, Neuralink alternative, capacitive tongue sensor, hands-free computer control, wireless assistive tech, spinal cord injury technology
#AssistiveTechnology #MIT #BrainComputerInterface #Neuralink #DisabilityTech Paralysis MedicalInnovation TechForGood Accessibility WearableTech HealthTech Innovation Engineering Quadriplegia SpinalCordInjury FutureOfTech TechNews AIandTech ArtificialIntelligence
@luminica.ai
285.8K
ALcomment “brain” I’ll send you the PDF guide #explore #claude
@alex2learn
1.7M
__💡AI can now recreate images based on brain activity! Ever wondered what it would be like if your thoughts could be visualized? Here’s an AI’s interpretation of an unseen giraffe 🦒—a fascinating peek into the future of mind-reading technology.
🔍 Imagine the ethical implications: could this be the end of mental privacy? Share your thoughts and concerns! What do you think about AI’s ability to decode our innermost thoughts?
Speaker on Ted talk: Aza Raskin (the co-founder of the Center for Humane Technology and of the Earth Species Project.He is also a writer, entrepreneur, inventor, and interface designer.He is the son of Jef Raskin, a human–computer interface expert who was the initiator of the Macintosh project at Apple.)
#AI #DeepLearning #ThoughtDecoding #FutureTech #EthicsInAI #AIRevolution #MindReading
@__innovate_with_ai__
61.4K
HANew brain-computer interface allows man with ALS to ‘speak’ again.
@hashem.alghaili
2.2M
CNSynchron has developed a Brain-Computer Interface that uses pre-existing technologies such as the stent and catheter to allow insertion into the brain without the need for open brain surgery. Tap the 🔗 in our bio to see more. #tech #synchron #bci
@cnet
14.4K
UNBrain-computer interfaces (BCIs) are devices that create a direct communication pathway between a brain’s electrical activity and an external output. Their sensors capture electrophysiological signals transmitted between the brain’s neurons and relay that information to an external source, like a computer, mobile device or robotic limb, which essentially lets a person turn their thoughts into actions.
Brain-Computer Interface Definition
A brain-computer interface (BCI) is a device that lets the human brain communicate with and control external software or hardware, like a computer, mobile device or robotic limb.
These brain chips go over the scalp in a wearable device, get surgically placed under the scalp or even get implanted within brain tissue. The idea is that, the closer the chip is to the brain’s neural network, the more clear, or “high definition,” a signal can be interpreted.
Perhaps the most popular example of a brain-computer interface is Neuralink, a chip that was implanted into a quadriplegic patient’s brain in 2024 and allows him to control a computer.
#newworldorder #nwo #agenda #illuminati #wakeup #conspiracy #conspiracytheory #truthseeker #covid #mkultra #truth #flatearth #trump #elonmusk #mindcontrol #nano #freemason #freemasons #thegreatreset #wakeupsheeple #freemasonry #depopulationagenda #neurolink #braincomputerinterface #freedom #g #depopulation #nanotech #markofthebeast #bci
@uncovering_hidden_truths
73.9K
HOBlink twice to hover and focus to select..
Imagine if you have to sit at a place, you can’t move and can’t speak for your lifetime. Suddenly it starts feeling like a hell. That is what ALS and paralysed people feel but we are here to change!
NPG Lite can record brain, muscles, heart and eyes signals (EEG, EMG, ECG & EOG). When we focus our brain produces more beta waves which we used to select the options and to hover blink eyes and NPG Lite detects the EOG signals generated by dipole of the eyes.
It’s a start, possibilities are endless with NPG Lite!
This project is made by @krishnanshu.99 @ritikamishra0044 and @aman_maheshwari_02 🔥
Our startup: @myupsidedownlab ❤️
#paralysis #projects #iot #research #technology #futuretech #als #startup #engineering #neurotech #bci #brain #neuroscience
@hoomans_of_upsidedownlabs
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