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AI News: OpenAI Releases Agents, New NVIDIA Model, Adobe Text-To-Video, NotebookLM Upgrades

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Stay updated with the latest AI news including OpenAI releasing new agents, NVIDIA's latest model, Adobe's Text-To-Video feature, and NotebookLM upgrades. Get insights on the advancements in AI technology and tools.
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Video Summary & Chapters

0:00
1. OpenAI Releases Agents 🤖
Introduction to OpenAI's new agentic framework and its implications.
1:02
2. NVIDIA's New Chipsets 💻
Exploring the powerful specifications and benchmarks of NVIDIA's latest chipset, the b200.
4:57
3. Stable Diffusion of Models
Updates on Mamut's model repository and pricing.
5:18
4. NVIDIA's Latest Model
Introduction of Neatr 70b Instruct model surpassing GPT 4.
5:54
5. Google's Nuclear Energy Venture
Google's agreement for clean energy from nuclear reactors.
7:07
6. Adobe's AI Innovations
Adobe's new AI features like text-to-video and generative fill.
8:19
7. Worldcoin's Human Identification
Worldcoin's aim to provide human identification using open-source technology.
9:36
8. Latest Technology Trends 🌐
Exploring the latest advancements in technology and AI.
9:49
9. Open Source Video Model 📹
Introduction to the new open-source text-to-video model Pyramid Flow SD3.
10:15
10. Agent Startup Boom 💼
Insights into the rise of agent startups and the success of Sierra AI.
11:18
11. Financial Status of OpenAI 💰
Discussion on OpenAI's financial growth and continuous fundraising.
12:02
12. AI in Defense Technology 🛡️
Exploring Andal Industries' innovative AI-powered defense tech product, Bolt.
13:16
13. SpaceX's Groundbreaking Achievement 🚀
Highlighting SpaceX's remarkable feat of catching a rocket booster midair with chopsticks.
14:23
14. SpaceX Rocket Reusability
Accelerating rockets back into orbit for multiplanetary species.
14:36
15. Microsoft vs. OpenAI
Tensions rise as key researcher shifts from Microsoft to OpenAI.
15:36
16. New Zamba 27b Model
Zyra Ai and Nvidia collaboration introduces high-quality hybrid SSM model.
16:40
17. Open Source AI Community
Appreciation for Zyra's contribution to open source AI models.
16:51
18. Search GPT Integration
Upcoming integration of search GPT into chat GPT for real-time information.
17:35
19. Mraw's Edge Models
Introduction of efficient edge models for on-device computing.
18:23
20. New Mini St Models
State-of-the-art on-device computing models for specialized tasks.
19:13
21. OpenAI Releases Agents
New models for faster inference
20:12
22. Controversy Around Tesla's Robots
Autonomous vs. teleoperated robots
21:00
23. Power Over Skin Technology
Using body energy to power devices
21:55
24. Notebook LM Upgrades
Customizable audio overviews
22:39
25. Chat GPT Windows App
Early access for paid users

Video Transcript

0:00
all right welcome so obviously a
0:02
slightly different setup than usual I'm
0:04
in New York right now IBM invited me
0:06
here to show off all of their new AI
0:08
technology and I'm going to have a video
0:10
on that coming soon but for today let's
0:12
get right into our first story open AI
0:15
just released their own a gentic
0:17
framework open source and this is both a
0:20
surprise and not a surprise because if
0:21
you remember just a week ago they
0:23
released Chad GPT canvas and that was a
0:26
huge upgrade to their interface and why
0:28
are these things similar well if you
0:31
think about open AI as a platform
0:33
company essentially providing the pipes
0:35
for intelligence they've talked about
0:38
only doing that but now it's becoming
0:40
more and more obvious that they're going
0:42
upstream and I've talked on this channel
0:44
a lot about platform risk and now we're
0:47
seeing it now they're also releasing
0:49
their own agentic framework they said
0:52
that there's no promises behind it
0:54
they're not going to even promise
0:55
updates to it you get no support so
0:58
really it's just a research project for
1:00
now now but it's cool to see open AI get
1:02
into the agent game all right so here it
1:05
is just a few days after release nearly
1:07
13,000 Stars it is open source as I
1:10
mentioned it is called swarm
1:12
experimental educational so all of the
1:15
caveats are there I haven't tested it
1:17
out yet but it looks to have a decent
1:20
amount of functionality already it
1:22
describes itself as swarm explorers
1:24
patterns that are lightweight scalable
1:26
and highly customizable by Design
1:28
approaches similar to swarm are best
1:30
suited for situations dealing with a
1:32
large number of independent capabilities
1:34
and instructions that are difficult to
1:35
encode into a single prompt essentially
1:38
agents the assistance API is a great
1:41
option for developers looking for fully
1:42
hosted threads and built-in memory
1:45
management and retrieval however swarm
1:47
is an educational resource for
1:49
developers curious to learn about
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