Launching today
MindReader v1
Read minds (simulated fMRI data, channeled to neuro-metrics)
87 followers
Read minds (simulated fMRI data, channeled to neuro-metrics)
87 followers
How do you feel? It is the oldest question in art and the newest one we can answer in technology. MindReader takes your content and simulates, region by region, how a brain responds to it. Completely Open Source - we encourage you to tinker. Exploring sales evals, neural evals for datasets and other esoteric product experiments w/ madhat founders. MindReader is built on Meta FAIR's TRIBE v2 + 35yrs of neuro research. Inviting collab from the academics et all.
MindReader v1
One concern I have is overinterpretation. users might treat simulated neural outputs as scientific truth, so clear framing and limitations will be important.
MindReader v1
@malani_willa we completely agree! Which is why we chose to build in a completely open source manner. We want to strengthen these metrics, test them rigorously before pushing them to consumer products.
Clear communication and community accountability is a core part of our DNA. Appreciate the flag.
the ositioning is bold, but also risky. When terms like “read minds” are used, expectations can easily go far beyond what simulated neuro-data can realistically provide.
@simran_kumar A suggestion from my side would be to include benchmark comparisons against more standard UX testing tools so people understand where this fits in the stack.
MindReader v1
@simran_kumar we resonate! Hence we also decided to open-source the product and research.
MindReader predicts what an average brain response would look like - specifically the blood flow. https://mindreaderai.vercel.app/methodology details out everything that goes behind making Mindreader's science backed magic.
Very interesting, and great that it's open source. But I'm not sure I understand it correctly. So the goal is to determine how a demographic will respond to certain sales call scripts or ad creatives?
MindReader v1
@jn263 the surface area for the product is much wider.
it is useful in anything that benefits from a proxy of human reaction to it.
we have already discussed sales calls coaching as a use case; content / marketing / ads would work in a similar way
some other use cases
neural tags for datasets (many YC audio start-ups (like usepanels.com) are selling expressive data, they can attach this as an objective measure of emotion). (would love for @garrytan to weigh in)
call centres for distress calls can use it to train their agents even better
there are also darker use cases: like reverse engineering a "calm video" to hit certain neural-metrics - which is why we have chosen to stay completely open source and are building on the frontier
Simulating how a brain reacts to content is a fascinating concept, and love that it's open source. How accurate are the neuro-metrics compared to real fMRI studies?
@jas_jaski @ishita8088 Bold vision here. The open-source angle makes it even more exciting for people who love tinkering and experimenting.
MindReader v1
@jas_jaski @dipanshu_kushwaha5 Thank you for checking out the product! We believe that the trust surface here has to be large.
The only way to make people believe that we can 'read minds' is by keeping our methodology and research out in the open. Looking forward to making the product even more robust.