[hamdani yusuf (OP)]

Amazon Is Working On Something That Will SHATTER Everything You Know About AI

Amazon Is Working On Something That Will SHATTER Everything You Know About AI
Have you heard about Amazon's latest project that's set to revolutionize AI as we know it? In this video, we dive deep into Amazon's groundbreaking initiative that promises to shatter everything you thought you knew about artificial intelligence. From the latest advancements in machine learning to the potential impacts on the tech industry, this is a game-changing moment for AI.

Amazon is pushing the boundaries of technology with its new AI project, aiming to redefine how artificial intelligence integrates into our daily lives. We'll explore the cutting-edge features and innovations that could set new standards for AI performance and capabilities. Discover how this ambitious endeavor might change the landscape of AI and what it means for businesses and consumers alike.

We?ll also cover expert opinions and industry reactions to this significant development. Learn about the possible implications for future technology and the ways Amazon's new AI might influence the broader tech ecosystem. Don?t miss out on understanding how this breakthrough could affect various sectors, from tech startups to established corporations.

What are the latest advancements in AI? How will Amazon's AI impact the technology industry? What are the potential benefits of this new AI project? How will this AI innovation affect businesses and consumers? This video will answer all these questions. Make sure you watch all the way through to not miss anything.

The main purpose of building a virtual universe is to help making decisions which will increase the probability of achieving goals effectively and efficiently.

[hamdani yusuf (OP)]

BREAKING: OpenAI's SHOCKING "ORION" Model!

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

TIMELINE:
00:00 Breaking News
01:11 Q Star aka Strawberry
04:48 The Feds, National Security and OpenAI
06:43 Situational Awareness
09:45 The Feds and Open Source
11:19 Strawberry and the Orion Model
12:33 STaR: Self-Taught Reasoner
20:33 Synthetic Data and Orca 2
23:18 OpenAI to Launch Strawberry Chatbot
27:08 Q-Star aka Quiet-STaR
28:15 The Queen Model
33:11 Correction from Last Video
35:48 Am I correct?

[hamdani yusuf (OP)]

GPT-5 SOON, AI-to-AI Payments Using Crypto, xAI GPU Cluster is Live, 1,000 Agent Simulation

Chapters:
0:00 - GPT-5 Coming Soon: OpenAI's Next Frontier
2:09 - Elon Musk's Colossus: The Largest AI Training Cluster
3:16 - Project Sid: Autonomous AI Agents in Minecraft
6:54 - Meta's Mixed Reality Glasses: Puffin in Development
9:58 - Sponsor: Vulture - Cloud Provider for AI Workloads
11:32 - OpenAI's $100 Billion Valuation and Future Challenges
13:32 - Meta AI Assistant Reaches 400 Million Users
15:39 - MidJourney Ventures into Hardware
16:40 - AI Safety: OpenAI and Anthropic's Collaboration with the US Government
18:08 - Nous Research Hermes Updates
18:45 - Google AI Studio Updates
19:25 - 100m Token Context Model
20:28 - AI-to-AI Crypto Transactions: A New Frontier
22:52 - Alexa to be powered by Claude

[hamdani yusuf (OP)]

$125B for Superintelligence? 3 Models Coming, Sutskever's Secret SSI, & Data Centers (in space)...

Ilya Sutskever's 'straight shot to superintelligence' is already valued at $5B, but now we get $125B data centers in the works. Yes, plural. Will this be the ultimate gambit on the scaling hypothesis?

Weights and Biases? Weave: wandb.me/ai_explained

And yes, the title is not clickbait, a company is pledging to build data centers in space, but that follows failed attempts in the sea. Plus, distributed training, Gemini 2, Grok-3, Colossus, CharacterAI, Orion, and ... chapters.

AI Insiders:   / aiexplained 

Chapters:
00:00 - Intro
01:06 ? SSI, Safe Superintelligence (Sutskever)
03:45 - Grok-3 (Colossus) + Altman Concerned
05:36 - CharacterAI + Foundation Models
06:26 - $125B Supercomputers + 5-10GW
08:28 - ?GPT-6? Scale
09:07 - Zuckerberg on Exponentials and Doubt
09:42 - Strawberry/Orion + Connections + Weights
11:39 - Data Centers in Space (and the sea)
12:45 - Distributed Training + SemiAnalysis Report w/ Gemini 2
17:34 - Climate Change Pledges?

[alancalverd]

a company is pledging to build data centers in space

Thus posing a serious problem of heat dissipation.

[paul cotter]

One could call them "space cadets".

[hamdani yusuf (OP)]

a company is pledging to build data centers in space

Thus posing a serious problem of heat dissipation.

Parker solar probe can handle heat dissipation in space very well. Maybe they can learn a thing or two from it.

[hamdani yusuf (OP)]

AI is here. What now?

[alancalverd]

Switch it off.

[hamdani yusuf (OP)]

Switch it off.

When?
Which one?
What will you do if your competitors don't follow suit?

[alancalverd]

Whenever I want to

Whatever is under my control

Ignore them or kill them.

[hamdani yusuf (OP)]

Whenever I want to

Whatever is under my control

Ignore them or kill them.

Getting them under control is the problem.

[alancalverd]

Everything I make, buy, or rent, is under my control, apart from my children. The same is true, legally, for everyone else on the planet, and any harm done by a machine to anyone must be traceable to a human.

[hamdani yusuf (OP)]

Everything I make, buy, or rent, is under my control, apart from my children. The same is true, legally, for everyone else on the planet, and any harm done by a machine to anyone must be traceable to a human.

Which human ?

[hamdani yusuf (OP)]

This will power the future of AI (1000x more efficient)
Neuromorphic chips, the future of AI computing inspired by the brain. #neuromorphic #ainews #ai #agi #singularity

0:00 Intro
0:33 Artificial neural networks
2:17 Compute inefficiency and scaling
4:29 Limitations of current hardware
6:00 Power consumption
8:04 Memory limitation
10:23 Sparse computations
12:43 Spiking neural networks
15:06 Transistor size limit
16:29 Code and silicon chips
17:31 Structure of neuromorphic chips
19:20 Materials for neuromorphic chips
22:54 Neuromorphic chip companies

[hamdani yusuf (OP)]

How might LLMs store facts | Chapter 7, Deep Learning

Unpacking the multilayer perceptrons in a transformer, and how they may store facts
Sections:
0:00 - Where facts in LLMs live
2:15 - Quick refresher on transformers
4:39 - Assumptions for our toy example
6:07 - Inside a multilayer perceptron
15:38 - Counting parameters
17:04 - Superposition
21:37 - Up next

[alancalverd]

Which human ?

There is plenty of legal precedent. Initially, it's the human who decided to switch the machine on. If he is dead or bankrupt, it's the supplier (in the UK) or manufacturer (in the EU) of the machine. And in an extreme case the US courts ruled that the supplier of the material that made the machine is liable.

[hamdani yusuf (OP)]

OpenAI o1: ChatGPT Supercharged!

Here are some comments from the users.

Tried the new model. I gave it instruction to write paragraph on some set of constraints. with slower thinking, it actually results in better response. What a time to be alive!

I was playing around with this and was able to generate a clone of Atari's classic "Centipede" via HTML and Javascript in a single prompt.

That said, I did need to run through about 30 more iterations to get it where I was satisfied with the gameplay, the initial version was functional, but somewhat one-dimensional in terms of gameplay.

I just used Emojis instead of generating any sprite sheets (works well enough for a game like this), and used Suno to generate a 4-bit synth audio loop for background music.

Overall, I could have written this game by hand in about 2 hours.
The time spent with ChatGPT was actually about 3 hours, lol. But, ChatGPT allowed me to go through many more iterations and experiment with features much more quickly, without compromising on the quality. So for the time spent, I think I came out with a much more polished game than if I had manually coded it in the same amount of time.

[hamdani yusuf (OP)]

AI can't cross this line and we don't know why.
Have we discovered an ideal gas law for AI?

[hamdani yusuf (OP)]

"As useful as a GOOD grad student" ― Surpasses Human Capability on Many Tasks (but not all!)