Michael Adebayo, Ph.D.

📊Data 🤖 Machine Learning 🧠 Artificial Intelligence ⌨️Tech 🌎 Life Ⓜ️✌️ Xs are mine.

[Vinse @vinseapp]

Confused as to 🤷🏾‍♀️why 🤷🏻 even though you created the wall on https://t.co/nqsBw70qm3 for your business (or yourself), and people have started dropping in their feedbacks 🔖, you cannot see what has been written?

[Michael Adebayo, Ph.D. @MichAdebayo]

@akinkunmi The issue is that their audience are impressionable, and rightly so, given the economic situation around them. Selling a course for whatever price is the prerogative of the seller. However, promising anything beyond “skill” acquisition is far from reality. 7-Days at that !

[Michael Adebayo, Ph.D. @MichAdebayo]

@joesadoski @boristane This is a really nice piece on logging. Thank you.

[Michael Adebayo, Ph.D. @MichAdebayo]

🚀 I'm launching the Vinse beta on February 2nd.

If you'd like to participate in the early testing, comment "BETA" below, and I'll send you the link to the waiting list via DM.

#Feedback #ProductLaunch #TeamCulture #Review #BuildingInPublic #SaaS

[Michael Adebayo, Ph.D. @MichAdebayo]

Receiving feedback can be daunting. Timing is crucial.

That's why I created Vinse: a platform for receiving anonymous and honest feedback, prioritizing psychological safety.

Here's how it works: 👇

#TeamReview #EventReview #Vinse

[Michael Adebayo, Ph.D. @MichAdebayo]

🎯 Security: Participants feel more confident writing, knowing their comments won't be read immediately.

🎯 Transparency: You receive all the information at once, without a drip-feed of revelations.

🎯 Relevance: The reveal becomes a valuable opportunity for discussion.

[Michael Adebayo, Ph.D. @MichAdebayo]

Feedback is often scary. Timing changes everything.

That's why I built Vinse — a platform for receiving anonymous, honest feedback that prioritizes psychological safety.

Collect notes privately. Reveal them intentionally.

Launching 2. Want early access?

Comment "VINSE".

[Michael Adebayo, Ph.D. @MichAdebayo]

Most people don’t lie. They just stay quiet.

In public, feedback defaults to “safe.” In private, it does not exist.

So I built Vinse: A link-only wall for honest feedback. Anonymous by design.

Launching Feb 2.

Reply "VINSE" & I’ll DM you the waitlist link.📩 #BuildingInPublic

[Fela Buyi @Felabuyi]

“As attackers become autonomous, we've removed humans from the exploit path. Our LLM models don't just detect attacks, they prevent the manipulation of trust itself.”
We are writing a new security primitive.
Sign up for Early Access at https://t.co/sXT4x0wNEr
#Security #Will #Eat #AI
#AISecurity #AISafety #Security #Safety

[Michael Adebayo, Ph.D. @MichAdebayo]

@Felabuyi Congratulations on launching Trotta. 💥👍👍👍

[Michael Adebayo, Ph.D. @MichAdebayo]

📈 Why it matters: This opens the door to smarter educational tools, better automated diagram explanations, and richer multimodal AI assistants that can reason across text and geometry.

#AI #MachineLearning #DataScience #ComputerVision #GeometricAI

[Michael Adebayo, Ph.D. @MichAdebayo]

🚀 From Geometry to Words

New research introduces Geo-Image-Textualization (GGICS) — a method for generating high-quality image–caption pairs in geometric problems.

🔹 Built the GeoReasoning-10K dataset (10,000 pairs).

[Michael Adebayo, Ph.D. @MichAdebayo]

💡 For context, this means that the model doesn’t just see a triangle. It can determine and state: “an equilateral triangle with all sides equal.”

[Michael Adebayo, Ph.D. @MichAdebayo]

👉 Neural models are bringing acoustics out of the lab and into ML workflows.

💭 What are your thoughts?

#AI #MachineLearning #AcousticModeling #RIR #SpeechEnhancement #VirtualAcoustics

[Michael Adebayo, Ph.D. @MichAdebayo]

Neural Acoustic Models Meet Real-World RIRs

🔊 Imagine clapping your hands in a cathedral vs. in your kitchen. The echoes are completely different....that’s the room impulse response (RIR).

[Michael Adebayo, Ph.D. @MichAdebayo]

𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬:

⚡ Much faster than full simulations

🎯 Controllable & realistic

✅ Validated with acoustic metrics like T60 & DRR

Applications: cleaner speech models, de-reverberation, immersive AR/VR.