🦾Jepson Taylor

I build stuff that doesn’t exist, an AI explorer. 
Unfortunately I have too many connections so please follow me instead. 

人工智能 (Chinese)
人工知能 (Japanese)
कृत्रिम बुद्धिमत्ता (hindi)
الذكاء الاصطناعي (Standard Arabic)
কৃত্রিম বুদ্ধিমত্তা (Bengali)
искусственный интеллект (Russian)

I watch the watchers, I direct the learners. 

I am passionate about machine learning. My life's mission is to further the boundaries of what is possible with data science. I spend as much time as I can working with deep learning, NLP, and all forms of data science. I currently have a passion project I am managing where I am combining the power of genetic programming with deep learning to automate network design. I think there is a trend happening in data science where human expertise and creativity are being replaced by powerful new methods (i.e. deep learning, big data). 

I am most well known for my machine learning work with the data science community and with HireVue. With the community, I enjoy posting opinions on jobs and tutorials on ML methods. I also enjoy speaking and presenting to all types of audiences. 

I've enjoyed working across engineering, product, sales, marketing, and customer success. This wider POV has helped shape the way I think about innovation, from the innovation farm to the customer's table ;)

CEO/founder VEOX

VEOX Inc is revolutionizing the AI industry by creating an AI-driven algorithm factory, compressing decades of progress into moments. Our technology automates AI science research, continuously improving algorithm efficiency and outperforming human-made algorithms. VEOX is not just building another AI company; we're catalyzing an explosion of technological advancements that will reshape the entire tech landscape. Join us in accelerating intelligence beyond human limits and leading the next wave of AI breakthroughs.

Jepson Taylor

We canceled our team’s Cursor account today. Strange considering I was so smitten by it. 🌹🥀Like a high school fling, onto the next babe. Oh, and I was top 3% globally as a user in 2025 at 22B tokens of code. Should have been on their customer advisory board maybe. AMA

CEO/founder VEOX Inc | Fasted Ultra Runner | Contributing Faculty AIMasterClass NYU | Keynote Speaker | former child

Some of the smartest people I've met in my life are... incredibly stupid. They can't read the room, they don't know how to talk to executives, they lack emotional intelligence and self-awareness. I used to always think intelligence was one-dimensional, I really cared about where I thought I was on this scale, now I see it as being ∞-dimensions. Sure, there are some standard tests we can use on humans to determine their ability to problem solve or do various coding challenges, but those tests are narrow. 

I like to say everyone is a genius, when it comes to their life experience. If you're patient enough to listen every human can teach you a lesson. I also muse with the possibility of the village idiot becoming the new savant thanks to AI. Ultimately, where we are headed the future 'genius' is unknown, and humans are not equipped to access them. Longer term, AI will be the only judge of what actually matters when it comes to human super-competency. I like this, because it tears up the standard resume. It means that someone with a PhD in neuroscience might actually be less competitive than the ambitious Uber driver in Dallas from Uganda who just needs to be enabled with a new 🥕 .

Dear r/LinkedLunatics,
I love that I live rent free in the minds of so many members of your community. I love knowing none of you will ever be able to run as far as I do in the mountains, invent at the pace that I'm capable of, or live life as a ridiculous outlier as I do. Every time I show up in your community, I take joy knowing that you are festering with my existence. Looking forward to many more posts where you feel compelled to engage and what I say/do bounces around in your simple keyboard troll minds. 

For those that don't know this community, they became famous when one of their members was caught commenting on the appearance of women on this platform. Degrading them, sexualizing them, only to be caught by accidentally sharing a screenshot that gave away their true identity. So when I think of this community, I think of a group of wanna-be ass grabbers, who have nothing better to do than tear down those that do.

Spam trick, add an Emoji to your name on LinkedIn, then make an email filter to never see your emoji in an email.

graphical user interface, text, application

I'm at the SLC airport, working, getting ready to head to Dubai. 
My 17th trip in 4 years.  If any of you are in the region I'll be speaking at:
http://aifest.ae/

For AI/business leaders, schedule permitting (filling up my calendar now), happy to come and speak to your engineering teams about what I've learn over the last year consuming ~25B tokens for coding agents. The pitfalls, the miracles, best practices, ideas gone wrong, ideas gone right... really right, all of it. And.. happy to show you examples of code that your humans will never be capable of writing, and explain why. #superhumancode

AMA

People who do high volume coding with AI often complain about 'fallbacks', where agents will catch exceptions and quickly patch with a moronic fallback. This can be back up libraries, dummy models, and even synthetic data... beyond stupid. You might get mad at AI, but... 

It makes you wonder? Was it trained with some of the worst human Q/A engineers in the world? My test isn't passing... there we go. This isn't installing... fixed. I can't find this dataset... this will do. Imagining the Q/A engineer that would behave this way makes you wonder, do they exist? If they do, I bet it’s the same people who leave dog poop in plastic bags on walking trails. 

Or is AI just making up some of the most terrible fallback short cuts to satisfy bugs? I've seen this bad behavior in all LLM providers.

Words can't describe how much I love the work I do. I can't type fast enough, I can't ask fast enough. I often will have 4-5 parallel threads of work that I'm managing, if only my brain could handle more. In the future as agents level up, it will. Working in the field I work in, with the technology vertical we are chasing is like waking up for Christmas daily. To review algorithms, and insights that I would never be able to produce on my own regardless the time, pressure, or budgets, is inspiring. 

Once when I was giving a talk to college students (I like giving talks to college kids, taught in a box, ready to break out, brains are like playdough). I think it was Berkley or Harvard, can't remember. I told them.

"When you do a startup, I hope you do, you need to find an idea that is so big you're willing to fail"

"What do I mean by fail? You need to be willing to foreclose on your home, have your cars reposed, max out every card you can get access to. Worry about your banking card clearing when you're buying gas and food. Where you need to awkwardly beg your friends and family for favors and emergency loans."

The college kids faces... eyes wide... 

Then I went back to the idea. If you aren't willing to endure that, then the idea wasn't big enough. I'm not talking about big enough for your professor! Your friends! Your parents! For YOU! Too often people want validation on their ideas, the best founders I know needed none. They were determined to chase the heroes journey despite head winds from their tribe. Parents and friends telling them they were stupid, and should get a real job. Find that idea big enough for you, the idea burning a hole in your head. The idea that is beyond passion, beyond obsession, entering the realm of purpose. 

For me, I have that idea, and couldn't be happier.

For all my 'fast typers' out there in Antigravity, Cursor, Claude, Chrome, etc... who are on Macs. I'm sure you have accidentally in your typing storm pressed Command+Q and closed your application. Very upsetting, well... you can change that close command on all your applications to Command + Option + Q (or any custom command). Now? Type faster!

Flights, time to think when the internet sucks. Qatar Airways was a dream my last trip with Starlink 100-150mbs down the entire time with great latency. I felt like I was (nearly) home in my office. Emirates.. gave the 2014 feeling with Onair 10-12mbs down experience with constant outages. I'm surprised more airlines don't get with the times, especially with those of us that work 24/7. In the future I'm going to call ahead to check if the plane I'm committed to has Starlink or not. 

During my thinking time, I was thinking more about the vast majority of the world is not ready for AI and will never be. You have toe dippers, and you have sprinters. The sprinters are leveling up every day, moving past 10x engineers and into territories that feel mythical. All of the 'vibe coding' nightmares are getting fixed, the wack-a-mole game is being won. Every problem found has a solution. Also, new technologies keep showing up that provide huge strides forward. 

I think a year from now, the toe-dipper engineers will be cave men compare to aliens. Are you a cave man? Or are you becoming an alien? What is your favorite tool/trick that makes you feel like you have more control over the chaos?

I create content about deep learning | The DevRel and Deep Learning Dude

Hacking on LLMs, curating multimodal datasets, and writing a book about RAG.

Harpreet Sahota 🥑

i've literally been waiting for years to have an OPEN SOURCE model like qwen3-vl-embedding

i tested its multimodal retrieval capabilities on a corpus of 412 short video clips and the results literally blew my mind

here are the queries i tested:

1. a cartoon guy drinks merlot wine

i like this query because we see how it can retrieve based on semantics (a cartoon), text (the label merlot), and temporal action in the video (the cartoon guy drinks the wine mid-way through the video)

2. garfield runs out of the door

semantics are awesome here, the model knows i'm talking about the cartoon character...

3. a woman in a blue dress sleeping on a red bench

the skeptic in you might think that it's retrieving just based on the red color block in the 2/3 of the video...but notice the specific part of the query "a woman in a blue dress..." and this is only shown in 3s out of the full 10s

this is such a huge release 

and it's gonna open up SO much more for multimodal video retrieval this year

on my wishlist is natural language search of pcd datasets, who gonna ship that?

you can hack around with the model using the resources below

check out the docs: here: https://lnkd.in/gh7yfBNP

and the quickstart nbhere:  https://lnkd.in/gbinsx7p

🤖 Hacker-in-Residence @ Voxel51| 👨🏽‍💻 AI/ML Engineer | 👷🏽‍♀️ Technical Developer Advocate | Learn. Do. Write. Teach. Repeat.

for those who missed it, or were there in-person and know the trouble i was facing 😆, my ODSC webinar is now live on youtube!

in this session i discuss visual ai techniques for automotive damage detection. 

i used the cardd dataset, which is a public dataset built specifically for vehicle damage analysis and demonstrated how fiftyone helps you explore, visualize, and build models to detect dents, scratches, cracks, glass shatter, tire flats, and broken lamps.

i feel like its a super practical workshop with some insightful workflows for visual AI in automotive settings, but as the creator i might be biased.

only one way to find out for yourself, watch the webinar!

https://lnkd.in/ewfz5vZD

Open video: Mastering Visual AI with Vision-Language Models & Advanced Evaluation Techniques by Harpreet Sahota on youtube.com

Mastering Visual AI with Vision-Language Models & Advanced Evaluation Techniques by Harpreet Sahota

sometimes i look back at the shit i get done and i genuinely impress myself

how teams really build Visual AI in the wild? what's the he messy reality?  

i don't know...and maybe its because nobody’s asking practitioners and compiling their answers so we can find out the landscape actually looks like. 

so, we at Voxel51 are kickin off the...

wait for it...

 State of Visual AI survey...vey...vey

for those out ther building visual AI systems i want your hot takes

what’s the hardest part about making visual ai a reality? 

let us know in this survey

it'll take you 30 minutes and is a much better use of time than baby sitting your runs and staring at your loss curves

i can't offer much beyond my heartiest thanks, but you will get early access to the full report with benchmarks, common pain points, and where you stand within the landscape. 

here's a link: https://lnkd.in/gnsADACy

MedGemma 1.5 supports detection, but for best results, you'll need to fine-tune. 

there's a kaggle competition using the model, i created a starter notebook to give you a jump start on how to fine-tune it for detection

checkout the starter notebook and additonal resources 👇🏼

cc Omar Sanseviero Megan Risdal Logan Kilpatrick

in the asu area and wanna get started with open source contributions? then don't miss this hack

On March 21, 2026, we’re hosting Agents World: Visual AI Hackathon @Arizona State University, together with Pavan Turaga 🚀 

This is a hands-on day: meet people, build with AI, eat pizza, and leave with something you created after a short workshop and a full day of hacking. 
You’ll work with the FiftyOne ecosystem and real models used in practice, like Qwen, Gemini Vision, Sharp, and more. 

If you’re an ASU student who wants to build, learn by doing, and work with real Visual AI tools, this is for you.

Registration is open:
https://lnkd.in/gBCHW5Fg

Hope to see you at ASU. I’ll be there with the amazing Voxel51 team:  Sid Mehta, Ritchie Martori, Jimmy Guerrero ! 🙌

looking forward to the next meetup in boston!

Join our in-person meetup at the Microsoft Research Lab at the Massachusetts Institute of Technology in Boston, Massachusetts on Feb 18 to hear talks from experts on cutting-edge topics across AI, ML, and computer vision. Register here: https://lnkd.in/gi4kpSMB

Talks will include:

• SNAP: Towards Segmenting Anything in Any Point Cloud - Hanhui Wang at Northeastern University

• Culturally Adaptive AI - Anku R. at Massachusetts Institute of Technology

• Data Foundations for Vision-Language-Action Models - Harpreet Sahota 🥑 at Voxel51

• Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models - Sharut G. at Massachusetts Institute of Technology

• Neural Radiance Fields for Image Verification - Sage Simhon at Pasteur Labs & ISI

#computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Syed Abdul Sami Rizvi, Matthew Ebisu and 118 other attendees

View event: Feb 18 - Boston AI, ML and Computer Vision Meetup

Feb 18 - Boston AI, ML and Computer Vision Meetup

Inspired by the amazing Hugging Face’s 2025 AI Timeline, we created one for the Fiftyone community. The FiftyOne Community Development Timeline highlights more than 131 contributions from 2025, including datasets, models, plugins, and integrations.

You can filter by type or modality and jump straight to each integration.
https://lnkd.in/ev2kpCGN

Big thanks to the entire Voxel51 community for building all of this together.
Harpreet Sahota 🥑, Daniel Gural, Paula Ramos, PhD, Jimmy Guerrero, Derek Van de Streek, Nicholas Lotz 🚀

Gonna be a great series of talks, lots of technical depth!

Chief Community Officer @ Voxel51 | Startup Advisor

Join us on Feb 18 for the Boston AI, ML and Computer Vision Meetup! Pre-registration is mandatory to clear building security - https://lnkd.in/gHtBuH49

Talks will include:

* SNAP: Towards Segmenting Anything in Any Point Cloud - Hanhui Wang at Northeastern University

* Culturally Adaptive AI - Anku R. at MIT

* Data Foundations for Vision-Language-Action Models - Harpreet Sahota 🥑 at Voxel51

* Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models - Sharut G. at MIT

* Neural Radiance Fields for Image Verification - Sage Simhon at Pasteur Labs & ISI

***********

Want to build better computer vision models? FiftyOne is an open source toolkit from Voxel51 (our Meetup sponsor) that helps you curate datasets, evaluate model performance, visualize embeddings, catch annotation errors, and eliminate duplicate images—all in one place.

“pip install fiftyone” is all it takes to get started - https://docs.voxel51.com/

#computervision #ai #artificialintelligence #machinevision
#machinelearning #datascience #physicalai

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