[hamdani yusuf (OP)]

OpenAI Unveils GPT-5: Everything Announced at OpenAI's Summer Update in 12 Minutes

Sam Altman and the OpenAI team demonstrated the new GPT-5 Reasoning Model, which will be free for all ChatGPT users starting today (Aug .


0:00 Intro by Sam Altman
1:06 ChatGPT-5 Explained
1:45 ChatGPT-5 Pricing and Availability
2:35 Building a Physics Model in ChatGPT-5
5:01 Building a French Language Learning App in ChatGPT-5
7:57 ChatGPT Voice Improvements
9:24 Building a 3D Video Game in ChatGPT-5

[hamdani yusuf (OP)]

I tested the new ChatGPT 5!

Testing ChatGPT-5 and comparing it to ChatGPT 4o and other older models. This is a pretty substantial setup up.

[hamdani yusuf (OP)]

The AI that solved IMO Geometry Problems | Guest video by ‪@Aleph0‬

How AlphaGeometry combines logic and intuition.

Timestamps:
0:00 - What's surprising
1:33 - Solve without AI
7:10 - Where AI comes in
12:48 - Grant's comments

[hamdani yusuf (OP)]

Superintelligence, Explained

[hamdani yusuf (OP)]

Sam Altman SHOCKS Again: "Next OpenAI CEO Could Be AI"

At a private dinner in San Francisco, Sam Altman dropped a bombshell: the next CEO of OpenAI might not be human. In this video, we break down everything behind that claim ? from the messy rollout of GPT-5 and why companies still love it, to trillion-dollar data center plans, brand-new AI hardware with Jony Ive, and brain-computer interfaces that could let you talk to ChatGPT with just your thoughts. We?ll also cover Altman?s feud with Elon Musk, his warnings about an AI bubble, privacy battles, and the looming disruption of Gen Z jobs.


🦾 What You?ll See:
?⁠  ⁠Sam Altman?s shocking claim about an AI CEO
?⁠  ⁠GPT-5 backlash, new modes, and enterprise adoption
?⁠  ⁠OpenAI?s trillion-dollar data center vision
?⁠  ⁠Jony Ive?s secret AI hardware project
?⁠  ⁠Brain-computer interfaces that talk to ChatGPT
?⁠  ⁠The bitter feud between Sam Altman and Elon Musk
?⁠  ⁠Privacy, encryption, and the AI bubble warnings
?⁠  ⁠The brutal impact on Gen Z jobs and the future of work

🚨 Why It Matters:
OpenAI isn?t just releasing models anymore ? it?s building the foundation of a world where AI isn?t a tool, it?s a participant.

[hamdani yusuf (OP)]

This new AI image editor is a BEAST

Qwen Image Edit review & installation tutorial. Free & open-source. How to use Qwen Image in ComfyUI with low VRAM. Qwen Image Edit vs Flux Kontext dev #ai #aitools #aiart #ainews


0:00 Qwen Image Edit intro
0:58 Official demos
4:48 Qwen Image Edit vs Flux Kontext dev
6:17 Color correction and deblur
8:00 Ultra-zoom
8:52 Photo restoration
9:42 Character model sheet
10:24 Text editing
12:13 Removing watermarks
13:32 DataImpulse
14:49 Style transfer
16:56 How to use Qwen Image Edit online
17:58 How to install Qwen Image Edit in ComfyUI
24:16 How to use Qwen Image Edit with low VRAM

[hamdani yusuf (OP)]

The Great AGI Debate--Are TOOLS Necessary For Intelligence?

The Illusion of Intelligence without Tools -- AGI and tool use

[hamdani yusuf (OP)]

Why Can't AI Make Its Own Discoveries? ? With Yann LeCun

Yann LeCun is the chief AI scientist at Meta. He joins Big Technology Podcast to discuss the strengths and limitations of current AI models, weighing in on why they've been unable to invent new things despite possessing almost all the world's written knowledge. LeCun digs deep into AI science, explaining why AI systems must build an abstract knowledge of the way the world operates to truly advance. We also cover whether AI research will hit a wall, whether investors in AI will be disappointed, and the value of open source after DeepSeek. Tune in for a fascinating conversation with one of the world's leading AI pioneers.

Chapters:

00:00 Introduction to Jan LeCun and AI's limitations
01:12 Why LLMs can't make scientific discoveries
05:40 Reasoning in AI systems: limitations of chain of thought
10:13 LLMs approaching diminishing returns and the need for a new paradigm
16:29 "A PhD next to you" vs. actual intelligent systems
21:36 Consumer AI adoption vs. enterprise implementation challenges
25:37 Historical parallels: expert systems and the risk of another AI winter
29:37 Four critical capabilities AI needs for true understanding
33:19 Testing AI's physics understanding with the paper test
37:24 Why video generation systems don't equal real comprehension
43:33 Self-supervised learning and its limitations for understanding
51:10 JEPA: Building abstract representations for reasoning and planning
54:33 Open source vs. proprietary AI development
58:57 Conclusion

[hamdani yusuf (OP)]

"I've updated my AGI timeline" | Francois Chollet + Dwarkesh Patel

16:38 "Everything is systems. If one part is no longer the bottleneck of the system, it's another part that becomes the next bottleneck." Intelligence is just one part of the system, which has been the bottleneck in the past.

[hamdani yusuf (OP)]

GPT-5?s Biggest Strength & More AI Use Cases

In this video, Igor discusses GPT-5's rocky launch and shares some tips on how to get the most out of GPT-5, plus he shows you how to get the legacy models of ChatGPT back like GPT-4o and o3. He covers new releases from Google Gemini, Midjourney, Claude and more. It's a surprisingly packed week, enjoy!


Chapters:
00:00 What?s New?
00:46 GenAI Traffic Share Update
01:41 GPT-5 Discussion and Testing
11:06 Bubble AI
12:55 Claude Memories
15:20 Gemini Memories
15:52 Claude Code News
19:24 Kitten TTS
21:10 Grok 5 Announcement
21:51 Midjourney HD Video
22:10 Veo 3 API
22:33 Learning in Gemini
23:55  Google Jules
24:14 LumaLabs Video Editing
24:31 Matrix Game 2.0

I found this video useful, which makes me want to share it.

[hamdani yusuf (OP)]

Elon Musk Surprises Everyone With Grok 5 Statements!

[alancalverd]

why they've been unable to invent new things despite possessing almost all the world's written knowledge.

Knowledge is not the same as understanding. Richard Feynman pointed this out in his memoirs of teaching, particularly in Brazil.

My father used to quote a particularly well-known bit of Shakespeare as an example. Most schoolkids and far too many professional actors know and say 

"Whether 'tis nobler in the mind, to suffer the slings and arrows of outrageous fortune, or to take arms...." which is a mechanical rendition of the printed word but actually meaningless. However if you understand what Hamlet is talking about, you move the comma (which isn't actually present in the script) and think semicolon

"Whether 'tis nobler; in the mind to suffer the slings and arrows of outrageous fortune, or to take arms..." which is more difficult to say but indicates a clear choice between angst and action.

[hamdani yusuf (OP)]

New FREE AI Just FIXED What GPT-5 Still Can?t (First Honest AI)

AI loves to act confident, but when you ask real questions it usually falls apart. That?s where Elysia comes in. Built by Weaviate, this brand-new open-source Python framework is rewriting the rules of agentic RAG systems. Instead of blind searches and vague answers, Elysia shows you its full decision tree, adapts how it displays your data, and even learns from your feedback to get smarter every time you use it. With features like chunk-on-demand, personalized feedback datasets, dynamic data displays, and multi-model routing, it?s one of the most ambitious open-source AI projects we?ve seen. And the best part?it?s free, transparent, and ready to run today.


🦾 What You?ll See:
? Why traditional RAG systems fail most of the time
? How Elysia uses decision trees for transparent reasoning
? Seven adaptive data display modes for cleaner results
? Feedback-driven personalization that improves performance over time
? Smarter chunk-on-demand document handling
? Multi-model routing for cost and efficiency
? How to set up and run Elysia in minutes
? Why this could be the new standard for agentic AI systems

🚨 Why It Matters:
Elysia isn?t just another framework?it?s a blueprint for how future AI systems could think, reason, and adapt in real time. With transparency, adaptability, and personalization at its core, this project shows that the next wave of AI won?t just be bigger?it?ll actually be smarter.

#AI #Elysia #Agent

[hamdani yusuf (OP)]

In this video I will look at why LLMs hallucinate. LLMs hallucinate not because they?re ?broken,? but because today?s training and accuracy-only evaluations incentivize guessing. This is based on a new research from OpenAI.

TIMESTAMP

00:00​ Hallucinations in Language Models
00:48​ How Language Models Work
02:26​ The Issue with Next Word Prediction
02:50​ Evaluation Mechanisms and Their Flaws
04:11​ Proposed Solutions to Mitigate Hallucinations
07:16​ Observations and Claims from OpenAI's Paper

[hamdani yusuf (OP)]

It's crazy AI compression is still not the standard!

I think it will be, in not so distant future, because AI infrastructure will be much better than now.