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// Mike SOCIAL //
X:   / _mikepound   
Website: https://www.nottingham.ac.uk/research...

//  YouTube video reference //
Teach your AI with Dr Mike Pound (Computerphile):    • Train your AI with Dr Mike Pound (Com...  
Has Generative AI Already Peaked? - Computerphile:    • Has Generative AI Already Peaked? - C...  

// Courses Reference //
Deep Learning: https://www.coursera.org/specializati...
AI For Everyone by Andrew Ng: https://www.coursera.org/learn/ai-for...
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https://pytorch.org/tutorials/beginne...
https://pytorch.org/tutorials/beginne...
Python for Everyone: https://www.py4e.com/

// BOOK //
Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://amzn.to/3vmu4LP

// PyTorch //
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Website: https://pytorch.org/
Documentation:   / pytorch  

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// MENU //
0:00 - Coming Up
0:43 - Introduction
01:04 - State of AI in 2025
02:10 - AGI Hype: Realistic Expectations
03:15 - Sponsored Section
04:30 - Is AI Plateauing or Advancing?
06:26 - Overhype in AI Features Across Industries
08:01 - Is It Too Late to Start in AI?
09:16 - Where to Start in 2025
10:20 - Recommended Courses and Progression Paths
13:26 - Should I Go to School for AI?
14:18 - Learning AI Independently with Resources Online
17:24 - Machine Learning Progression
19:09 - What is a Notebook?
20:10 - Is AI the Top Skill to Learn in 2025?
23:49 - Other Niches and Fields
25:05 - Cyber Using AI
26:31 - AI on Different Platforms
27:13 - AI isn’t Needed Everywhere
29:57 - Leveraging AI
30:35 - AI as a Productivity Tool
31:55 - Retrieval Augmented Generation
33:28 - Concerns About Privacy with AI
36:01 - The Difference Between GPU’s, CPU’s, NPU’s etc.
37:30 - The Release of Sora38:56 - Will AI Take Our Job?
41:00 - Nvidia Says We Don’t Need Developers
43:47 - Devin Announcement
44:59 - Conclusion


Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! 

Disclaimer: This video is for educational purposes only.

How To Learn AI in 2025 (If I Started Over)

#490: How To Learn AI in 2025 (If I Started Over)

New Blackwell & RDNA 4 Leaks w/ Jon! [SPON: Use Code YTE7P50 for $50 OFF FlexiSpot’s E7 Pro Standing Desk ( https://bit.ly/408Sy9M ), and also check out their Auto Incline Walking Treadmill ( https://bit.ly/40o8DtN ).] [Visit Partner Mint Mobile at https://trymintmobile.com/mooreslaw to get 50% OFF their 12 Month Unlimited Plan! SEE TERMS AND CONDITIONS BELOW.]


0:00 How well has Taiwan recovered from the 2024 Earthquakes?
5:31 Intel Quality Control Issues
10:23 TSMC 2nm Manufacturing Coming to the USA
24:02 Can RDNA 4 get branded “Made in USA”
28:26 (NEW Leak) RX 9070 XT & 9070 Supply – At Micro Center NOW!
34:05 (NEW Leak) Nvidia RTX 5000 AIB Pricing
40:25 Has TSMC built TOO MUCH Capacity?
44:21 Nintendo Switch 2 - SAMSUNG 8nm a mistake?
49:52 Does DESIGN matter more than node advantages now that Moore’s Law Is Dead?
53:35 If nodes keep getting more expensive, is there really improvement?
58:13 Which node will the PS6 use?
1:06:30 Intel's (Bad) Situation
1:09:44 Intel Buyouts – What is actually possible?!
1:17:34 Intel vs AMD Design Principals
1:24:56 Would Samsung be a good match for Intel?
1:27:15 RISC-V, ASML (lack of) Competition, Advanced Packaging
1:35:51 What will impact the industry the most over the next 10 years?


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Last time Asianometry was on: https://youtu.be/Y6wnDTEnEqY?si=cuP_rtYBEDbLEBQT
https://www.pcgamer.com/hardware/gaming-monitors/amd-is-now-reportedly-making-all-american-ryzen-9000-cpu-dies-at-tsmcs-arizona-fab/
https://www.digitimes.com/news/a20250116PD231/tsmc-nvidia-cowos-market.html
https://www.tomshardware.com/tech-industry/tsmcs-arizona-fab-21-mass-produces-4nm-chips-at-a-higher-price-than-taiwan
https://www.investopedia.com/sandp-500-gains-and-losses-today-intel-soars-as-takeover-speculation-spreads-8776716
https://www.tomshardware.com/pc-components/cpus/intels-arrow-lake-fix-doesnt-fix-overall-gaming-performance-or-correct-the-companys-bad-marketing-claims-core-ultra-200s-still-trails-amd-and-previous-gen-chips
https://www.techpowerup.com/331161/amd-radeon-rx-9070-xt-rx-9070-custom-models-in-stock-at-european-stores

293. AMD RX 9070 XT Supply Leak, Nvidia RTX 5090 AIB Price, Intel Buyout | Asianometry

D-2 - Inside Your Computer

Hosted by Richard Simmons, this podcast delivers in-depth reports on emerging cyber threats, major security breaches, and critical vulnerabilities affecting healthcare, finance, and global infrastructure.

Today, we cover a severe Firefox flaw reminiscent of a recent Chrome zero-day, a phishing-as-a-service operation using DNS-over-HTTPS for stealth, and a Next.js vulnerability demanding urgent action from developers. We also examine a disturbing rise in GPU-based malware, Oracle Health’s latest data breach, and escalating ransomware threats to critical sectors.

From hospital breaches to cybersecurity regulations shaping digital health, HEAL Security Dispatch keeps you informed and prepared in a rapidly evolving cyber landscape.

For expert insights and the latest in cybersecurity, tune in daily to HEAL Security Dispatch.
🔗 healsecurity.com

Deep Dive: Firefox Flaw, Phishing-as-a-Service, Oracle Health Breach & More

Welcome to "AI with Shaily," hosted by Shailendra Kumar, your guide through the fascinating world of artificial intelligence! 🎙️✨ Today, Shaily is diving deep into the latest innovations brought to us by Nvidia, specifically their groundbreaking Blackwell Ultra GPU Architecture. 

So, what makes Blackwell Ultra such a hot topic? Imagine a high-performance sports car designed not just for speed but also for everyday use. 🚗💨 That's exactly what this GPU architecture represents. With a staggering memory expansion of up to 288 GB HBM3e and a remarkable 50% enhancement in 4-bit floating-point inference, it’s like giving a turbo boost to your AI applications! Think of it as giving your AI projects a can of Red Bull – they’ll be soaring to new heights! 🥤🚀

But Nvidia isn't stopping there. They're bringing the future closer to us with their DGX Systems, including personal AI supercomputers like the DGX Spark and DGX Station, all powered by Blackwell technology. It’s as if an entire data center has been miniaturized and placed right on your desk, making high-end AI processing more accessible and personal than ever before. 🖥️💼

The impact of Blackwell Ultra is being felt across the tech landscape, from small startups to large corporations, all eager to weave this technology into their AI strategies. This shift is reminiscent of replacing traditional assembly lines with sleek robots – the efficiency gains are undeniable, and the future is looking robustly engineered. 🔧⚙️

Shaily also shares a valuable tip for those involved in AI projects: keep an eye on how integrating Blackwell Ultra can enhance your models, particularly if you're working with large language models. This isn’t just an upgrade; it could be the secret weapon in your AI arsenal! 🏆🤖

As we conclude today's episode, Shaily encourages listeners to reflect on how they envision incorporating these advanced tools into their daily lives. He leaves us with a thought-provoking quote from Einstein: "The measure of intelligence is the ability to change," highlighting the transformative potential of Nvidia's innovations. 🌍💡

Don't forget, you can follow Shailendra Kumar for more AI insights on platforms like YouTube, Twitter, LinkedIn, and Medium. If you're excited about the future of AI, make sure to subscribe, share your thoughts in the comments, and keep the conversation going! Until next time, keep that curiosity alive and continue learning! 🔍📚

AI Revolution: Unleashing the Power of Nvidia's Blackwell Ultra GPU

Sampled and remixed sounds from GPU's AI data center

GPU Train

The "evolution and applications of rendering technology", highlighting its progression from early foundational systems to the present.  They emphasize rendering's critical role in various fields, including "entertainment, scientific visualization, advertising, education, and immersive technologies like VR/AR".  A key focus is the "comparison between traditional rendering methods and the transformative impact of generative AI", noting how AI significantly "reduces production times and costs", thereby expanding accessibility and creating a "convergence of techniques" in modern computer graphics.


Digital Rendering Evolution

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Welcome back to "AI with Shaily," your ultimate source for the latest and most exciting updates in artificial intelligence! 🎙️ I’m Shailendra Kumar, here to take you on a journey through the incredible advancements shaping the AI landscape today.

Picture this: organizing a colossal music festival 🎵🎤 — but instead of stages and crowds, you’re assembling mountains of GPUs, and instead of fans, you have AI models hungry for massive memory and ultra-fast processing power. This is the reality unfolding in 2025, as tech giants like Microsoft and Google are investing heavily in GPUs to fuel the next wave of generative AI.

Microsoft has made a staggering purchase of nearly 485,000 NVIDIA Hopper GPUs this year alone, investing a jaw-dropping $30 billion in servers to power advanced generative AI models like ChatGPT-4. That’s almost half a million GPUs! Meanwhile, Google isn’t far behind, deploying about 169,000 GPUs to drive their ambitious Gemini 2.5 model.

What’s behind this GPU frenzy? Next-generation generative AI models require immense memory bandwidth and huge memory capacity — these data-hungry systems can’t run efficiently on ordinary chips. Enter NVIDIA’s latest technological marvels: the Blackwell Ultra GPUs and the RTX PRO 6000 Blackwell Server Edition. These cutting-edge GPUs, soon to be available on Microsoft Azure and Google Cloud, are not just faster but smarter, enabling AI to plan, reason, and adapt in real-time with remarkable precision and finesse. ⚡🤖

Interestingly, even as the new Blackwell GPUs prepare to take center stage, demand for the current Hopper GPUs remains strong, much like how classic rock maintains its charm alongside new pop hits. Beyond Microsoft and Google, other tech leaders such as Amazon, Meta, Tesla’s xAI, and Apple are also developing custom AI chips to optimize performance and reduce reliance on NVIDIA’s hardware. This diversification highlights the competitive and innovative spirit driving the AI hardware space. 💻🚀

Here’s a personal reflection: this GPU arms race is a vivid reminder that AI progress isn’t just about smarter algorithms — it’s equally about the massive infrastructure that supports them. I remember when I first trained AI models in a modest lab setup, dreaming of scaling up. Today, we’re witnessing multi-billion dollar investments and half a million GPUs powering AI breakthroughs. It’s both humbling and exhilarating to witness this evolution. 🙌✨

A bonus tip for all AI enthusiasts concerned about energy consumption: keep an eye on AI chip specialization. Custom chips designed specifically for AI workloads could be the eco-friendly solution to the high energy demands of these vast GPU farms. True intelligence in AI means not only clever software but also smarter, more efficient hardware. 🌱🔋

Here’s a thought to ponder: as AI models become more powerful and resource-intensive, how can we strike a balance between relentless innovation and sustainability? I’d love to hear your opinions on this important question.

To quote AI pioneer Andrew Ng, “AI is the new electricity.” Just like electricity revolutionized the world, how we generate and manage AI’s power will shape our future. ⚡🌍

Don’t forget to follow me on YouTube, Twitter, LinkedIn, and Medium for more crisp, reliable AI news and insights. Subscribe and share your thoughts in the comments — what’s your take on this GPU gold rush? Are we on the path to a smarter, brighter AI future, or should we pause and rethink our approach?

Until next time, keep your curiosity charged and your questions flowing — this is Shailendra Kumar signing off from AI with Shaily. 🔥🤖✨

GPU Gold Rush 2025: Inside the Billion-Dollar AI Hardware Arms Race

we are vulnerable
find a weakness and exploit it

you already know
squad up in the bootloader bitch keep score
look around the repo
see what we gon find in the code
you can watch us grind while we dine on our foes (foes)
finding all these holes in the fabric
not enough moth balls plugging up the rop calls
holler at the homies if the box stalls
process jockey playing nice if the top falls

can you fuck with us?
can you deploy toys rubber duck with us?
can you destroy noise on a NUC with us?
more importantly can you make a buck with us? (hmm)
i look into the tea leaves reading
see a bunch of CEOs with their company believing
they ain't needing any coders on staff did the math
so i hack all that vibe coded crap and i laugh they saying

you already seen
me bubble up the deep web underworld and then escape clean
fuck you mean i got haters every corner of the cube
i been swimming through the doo doo ever since i was a noob
with the formula gnu and improved
future generations study how a warrior move
which tools does a warrior use well let's see
backpack full of goodies black hoodies and jeans (hmm)

precursor in the pocket (pocket)
field programmable gate array ain't no way you can stop it
everything that i early adopted 
it take off just like a rocket so you better go cop it
vape clouds cover up the screen
see the green text bleed through you be seeing how we do
dashboard showing crash lore on the fuzzing
what you know about that F5, cousin (cousin)

ytcracker - we are vulnerable

The Daily HEAL Security Dispatch Podcast is a leading source for up-to-the-minute news and deep insights in the realm of healthcare cybersecurity and threat intelligence. 

At the heart of HEAL Security's vision is the commitment to equipping organizations and individuals with rapid, contextually rich cybersecurity updates, establishing itself as a pivotal force in unifying practice and data against the ingenious tactics of criminal and malicious entities. HEAL Security is fervently devoted to constructing a robust resource and community that champions the defense of the healthcare sector against the growing cyber threats from organized crime groups and antagonistic nation-states. Our core focus encompasses the protection of vital IT infrastructures, the security of sensitive patient and clinical information, the safeguarding of critical healthcare systems, and the assurance of continuous, undisturbed patient care services.

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

i want to be a robot when i grow up.

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All the best!
David

One brother is an Engineer, and the other is a Scientist.   Both are hilarious and discuss the latest news, rumors, and developments going on in the Computer Hardware and PC Gaming Space.

Broken Silicon is Brought to you by the Youtube Channel: Moore's Law Is Dead, and its creator Tom.

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New tracks tagged #gpu