This short ep sees us tallking about data privacy, SB1047 (Californian AI bill), what a new world looks like + more

Thanks for joining us were inspired by early bulletin board systems and online communities where a project that's just getting started. But our goal is to make tech more human for the public and to reduce monopolies, you can get in touch with @ thething.co and until next week. Stay curious.

Best viewed on youtube!

https://youtu.be/SmZLS4BjN7g?feature=shared

Welcome to The Thing! We're a non-profit media studio making machine learning more human through stories and education. Think a chaotic good 4chan meets a more artistic Wikipedia, building a free digital commons for everyone.

Ever wondered how a company actually gets built? (lol same).This is part one of us saying wth we're doing.
Join us (Madisen and Renee) in part one of our origin story, as we share how we met, our approach to open company building (yes, we're showing you actual meetings!), and our vision for merging tech and media.

Connect with us
Slack:https://join.slack.com/t/buildingthething/shared_invite/zt-2f6cjnsw7-PJkw8iqsG26rECzat60a8Q
Email: hello@thething.co

We're exploring-
Machine learning
AI for social good
Open company building
And much more!

In this episode, cofounders Madisen and Renee break down their thoughts on the wild world of social media.

Get ready for some real talk about the attention economy, hive mind mentality, and the differences between digital curation and creation.

Welcome to The Thing!

We're a nonprofit media studio making machine learning

more human through stories and education.

Think a chaotic good 4chan meets a more artistic Wikipedia, building a free digital commons for everyone.

We're diving deep into AI with journalism, case studies,

events, research, and more.

This is just the beginning. Join us!

Connect with us:

• • Slack: https://join.slack.com/t/buildingthething

  • Email: hello@thething.co

We're exploring:

• • Machine learning

  • AI for social good

  • AI Ethics

  • Social media and the attention economy

In part two of the series, Victor G delves into various aspects of machine learning, including training models, the significance of data quality, the benefits of GPUs and TPUs for processing, and the concept of fine-tuning models. We also cover quantization, cosmic rays, spam detection.

https://join.slack.com/t/unsupervisedl-1dv7569/shared_invite/zt-2f6cjnsw7-PJkw8iqsG26rECzat60a8Q

https://www.linkedin.com/in/mrgeislinger/

https://github.com/MrGeislinger

www.victorsothervector.com

unsupervisedlearning.substack.com

www.thething.co

Join us for a 2 part mini-breakdown on common ML terms you may have heard in your AI travels.

Whether you're curious about the difference between data analysis and machine learning, want to know more about adversarial attacks, or just looking to demystify AI jargon, this episode's got you covered.
Victor's stories and insights promise to light up the sometimes confusing world of AI, making it accessible and fun for everyone watching.
Guest Links-
Something new is coming / visitthething

/ mrgeislinger

• But how does AI really work? Let's st…
www.thething.co
https://podcasts.apple.com/us/podcast...
www.unsupervisedlearning.co
pod@unsupervisedlearning.co

Sponsored by Jan https://jan.ai/
(run local llms totally offline)

0:00 Intro
00:44 Boot Camp Instructor to Machine Learning Engineer
00:49 Changing Paths
01:14 Data Science to ML
02:56 Specialising in Machine Learning and NLP
03:36 Exploring American Sign Language Through Machine Learning
03:42 A Personal Journey with American Sign Language (ASL)
22:59 Understanding Adversarial Strategies and Model Robustness
27:50 The Magic of Unsupervised Learning: Clustering and Beyond
28:14 Unsupervised Learning: The Magic Behind Clustering
28:14 The Magic of Unsupervised Learning and Clustering

This is a video about Vapi- Building the Voice AI Infastructure of the Future

00:00 Welcome to Unsupervised Learning
01:01 Introducing Jordan The Co-Founder of Vapi
01:23 Diving Deep into Latency and Voice AI Challenges
04:05 Exploring Vapi's Developer Tool and Its Impact
06:36 The Future of Voice AI
09:06 Ethical Considerations and the Dark Side of AI
10:01 Voice as the Ultimate Interface
32:48 The Potential and Pitfalls of Brain Interfaces
34:34 Wrapping Up and Where to Find Us

Guest Links-
Website
vapi.ai
Discord- https://discord.gg/pUFNcf2WmH
Vapi has office hours with their CTO and eng team.
Twitter
twitter.com/vapi_ai
TikTok
tiktok.com/@vapi_ai
Substack
vapi.substack.com
Medium
medium.com/@vapi_ai

(un)Supervised Learning links
https://www.linkedin.com/company/unsupervisedlearning
ko-fi.com/unsupervisedlearning
https://podcasts.apple.com/us/podcast/unsupervised-learning/id1728592020
www.unsupervisedlearning.co
pod@unsupervisedlearning.co
Sponsored by Jan https://jan.ai/

feeding the algo-

how to create voice with ai
Vapi
voice ai infastructure
how to make an ai voice assistant
PlayHT voice

This episode of Unsupervised Learning gets nerdy with former data science bootcamp instructor turned Google ML engineer, Victor G ! We're unpacking everything from machine learning basics to the mind-bending ethics of AI.

Guest Links-
https://www.linkedin.com/in/mrgeislinger/

Discussed in show-
"Weapons of math destruction -Cathy O'Neill"

https://www.bloomberg.com/graphics/2024-openai-gpt-hiring-racial-discrimination/?leadSource=uverify%20wall

https://www.abc.net.au/news/science/2022-09-18/crab-convergent-evolution-crustacean-australia-marine-biology/101388282
https://www.indy100.com/viral/woman-chip-implanted-hand-tiktok-b1936726

(un)Supervised Learning links
https://www.linkedin.com/company/unsupervisedlearning
ko-fi.com/unsupervisedlearning
https://podcasts.apple.com/us/podcast/unsupervised-learning/id1728592020
www.unsupervisedlearning.co
pod@unsupervisedlearning.co
Sponsored by Jan https://jan.ai/
(run local llms totally offline)

Breaking Down AI Hype What are foundational models really?
How do those crazy things like GPT and BERT actually work?
Beyond the Lab How do we take machine learning models from the lab to real-world impact (that's where MLOps comes in).
The Ethics Question Can AI detect your emotions?
Should it?
We're getting into the tricky territory of bias and fairness in machine learning.
The Future is…Weird Where is this tech going?
We'll make some wild predictions and look back at how far we've come (remember the first smartphones?

00:00 Welcome to Unsupervised Learning: Diving into Open Source Tech
00:55 Exploring the Concept of Foundational Models in AI
03:44 BERT: Unpacking Its Mechanism and Impact
11:59 The Intricacies of Machine Learning Operations (MLOps)
15:08 Ethical Considerations in AI: From Emotion Detection to Biometrics
27:37 Exploring the Impact of Bias in AI and Machine Learning
29:20 The Challenge of Accessing Quality Research Behind Paywalls
30:24 The Intricacies of Machine Learning and Bias Mitigation
36:57 Future Predictions and the Evolution of Technology
44:31 Reflecting on the Past and Imagining the Future of Smartphones