Youtube

← Back to Gallery

▶

Where Is the IDE? Google Antigravity 2.0-agentic IDE for Full-stack Development

May 21, 2026

▶

Creator of VLC and FFmpeg on the Lez Fridman Podcast

May 8, 2026

▶

Y-combinator Request for Startups Visualizer by Rdjarbeng

April 30, 2026

Jensen Huang: NVIDIA & the AI Revolution on The Lex Fridman Podcast

▶

In this deep-dive interview, Jensen Huang discusses the incredible evolution of NVIDIA, the future of artificial intelligence, and the engineering marvels that power today’s computing ecosystem. He outlines how NVIDIA transitioned from simply building GPUs to orchestrating entire “AI factories.”

Key Themes & Takeaways

1. Extreme Co-Design

NVIDIA has moved beyond chip-scale design to what Huang calls “extreme co-design” [01:02]. Because modern AI problems are too large for single computers to handle, NVIDIA now optimizes the entire stack. This involves the simultaneous engineering of GPUs, CPUs, memory, networking, storage, power, cooling, and software. Huang notes that the company essentially functions as a reflection of the complex systems it builds, integrating diverse disciplines to overcome the limits of traditional Moore’s Law.

2. The Four AI Scaling Laws

Huang highlights that AI will continue to scale across four key dimensions [22:51]:

Pre-training: Processing vast amounts of data to build foundational intelligence.
Post-training: Leveraging synthetic data generated by AI to enhance models further.
Test-time (Inference): The realization that inference is not just “reading” but “thinking” and reasoning through new experiences, which is intensely compute-heavy.
Agentic Scaling: The multiplication of AI through deploying teams of sub-agents that use tools and execute tasks autonomously.

3. OpenClaw and the “iPhone of Tokens”

Huang is highly optimistic about agentic AI, comparing the emergence of capable AI agents to the invention of the iPhone [01:33:07]. He describes a future where language models function as digital workers that can access files, perform research, use tools, and spin off sub-agents. He praises open-source agent ecosystems (like OpenClaw) for fundamentally reinventing what a computer is.

4. Overcoming Power & Supply Chain Bottlenecks

As computing scales up by orders of magnitude, power consumption remains a critical challenge. However, Huang suggests an innovative approach: utilizing the excess power sitting idle on our current power grids [48:06]. Rather than demanding 100% uptime guarantees—which force grids to run massive surpluses—data centers can be designed to dynamically reduce compute or shift workloads seamlessly during peak infrastructure load times.

5. NVIDIA’s Ultimate Moat: The CUDA Install Base

When asked what protects NVIDIA from competitors, Huang points directly to CUDA’s massive install base [01:15:26]. Decades ago, NVIDIA made the financially painful decision to put CUDA on consumer GeForce chips, turning everyday PCs into supercomputers and cultivating a generation of developers. Today, developers trust that their software will reach hundreds of millions of users across every cloud, industry, and form factor, creating an almost insurmountable ecosystem advantage.

6. The Future of Work and Coding

Addressing anxieties around AI automating jobs, Huang argues that AI will elevate human potential. He separates the purpose of a job from its tasks. While AI will automate repetitive tasks, the human purpose—such as diagnosing disease or solving complex problems—will only grow. He predicts that the number of programmers won’t decrease; rather, by turning coding into natural-language specification, we are expanding the programmer pool from 30 million to potentially 1 billion people worldwide [02:02:16].

Final Thought from Jensen:

Huang emphasizes the difference between intelligence (a functional commodity of perception and reasoning) and humanity (compassion, character, generosity, and resilience). While intelligence is being democratized by computing, he believes AI will ultimately allow us to celebrate and elevate those uniquely human traits even more.

Jensen Huang: NVIDIA & the AI Revolution on the Lex Fridman Podcast

April 28, 2026

Peter Steinberger on TED-How I Created OpenClaw, the Breakthrough AI Agent

▶

In this highly engaging and somewhat controversial TED talk, Peter Steinberger shares his journey of creating OpenClaw, an open-source AI agent that went viral and transformed how people interact with and build technology.

The Genesis of OpenClaw

Steinberger, who had been programming since he was 14, experienced severe burnout after dedicating a decade to building and selling his previous company [00:23]. For three years, he felt lost and disconnected from his passion. This changed in early 2025 when he began experimenting with new AI coding agents.

He experienced a “holy shit” moment when he realized AI could handle the boring, boilerplate aspects of software development [01:17]. Suddenly, the bottleneck was no longer typing, but thinking. Revitalized, he built 44 projects in just a few months, culminating in a WhatsApp bot that interacted directly with his computer’s existing apps.

The “Mad Lad” Moment and Going Viral

The true breakthrough happened during a trip to Marrakesh. Steinberger sent his agent a voice message (a feature he hadn’t actually built into the system). Surprisingly, the agent completely improvised: it identified the weird audio format, converted it, found an OpenAI key on his system, sent the audio for translation, and replied—all in 9 seconds [03:18].

Realizing that agents improvise while chatbots give up, Steinberger shared the agent in a public Discord server. Despite an initial crash, his system’s resilient design caused it to reboot and talk to hundreds of people globally overnight [05:19]. This led to explosive, viral growth. The open-source project was named OpenClaw, complete with a lobster mascot.

Impact: Democratizing Access to Building

The most profound impact of OpenClaw is how it changes who can build software [13:17]. Because agents can execute tasks and write code based on natural language prompts, the barrier to entry has evaporated. Steinberger shares incredible examples:

A 60-year-old man who never wrote code used OpenClaw to automate his entire beer-brewing process, build a website, and set up payments [07:46].
A teenager in São Paulo built a tutoring business.
In Shenzhen, China, companies are subsidizing businesses running on OpenClaw, and employees are being mandated to automate daily tasks with it [08:47].

“Surprise Me”: The Scary Side of Autonomy

Steinberger candidly addresses the slightly terrifying nature of autonomous AI. He added a “heartbeat” feature, allowing the agent to wake up periodically and execute tasks without a prompt. His initial prompt was simply: “Surprise me” [09:43].

While a large corporation would never ship something so unpredictable due to legal and safety concerns, Steinberger operates as an independent builder. To mitigate risks, the community has developed security layers, sandboxes, and dedicated hardware (like running the agent on an isolated Mac Mini) to constrain what the “lobster” can access [16:32].

Conclusion

Steinberger has established the OpenClaw Foundation to keep the project non-profit and open-source forever. He envisions a future where individuals have multiple specialized agents (for work, health, relationships) collaborating securely [11:11]. Ultimately, OpenClaw proves that when you can prompt a prototype into existence in an hour, anyone can be a builder, and “the lobster is not going back into the tank” [13:56].

Peter Steinberger on TED-How I Created OpenClaw, the Breakthrough AI Agent

April 28, 2026

▶

The Best Timed Shot in TV History by the BBC- According to the Internet

April 28, 2026

▶

Chinese Song- the Affinities of Life - Often Mistaken for Samsung Song

April 17, 2026

Can you steal $10,000 from a locked iPhone? Featuring MKBHD and Veritasium

▶

In this video, Derek from Veritasium teams up with cybersecurity experts to demonstrate a real, unpatched vulnerability that allows hackers to drain funds from a locked iPhone without the user’s knowledge. He successfully demonstrates this by “stealing” $10,000 from Marques Brownlee’s (MKBHD) locked phone [03:09].

The Mechanism: A Man-in-the-Middle Attack

The hack relies on intercepting and altering the near-field communication (NFC) data sent between an iPhone and a payment terminal using a device called a Prox Mark and a Python script [05:32]. To make the theft work, the hackers have to bypass three layers of security by telling “three lies”:

- Lie 1: Bypassing the Lock Screen. Apple’s "Express Transit" mode allows users to tap and pay for subway rides without unlocking their phones [06:25]. The hacker's device broadcasts a code pretending to be a transit gate, tricking the locked phone into initiating a payment. The script then modifies a bit of data to tell the phone that the reader is offline.
- Lie 2: Bypassing High-Value Verification. Normally, a $10,000 charge requires FaceID or a PIN. However, the phone relies on the _reader_ to flag whether a transaction is "high value" or "low value." The script intercepts the terminal's request and flips the "high value" bit to a zero, tricking the phone into thinking it's approving a tiny transit fee [09:12].
- Lie 3: Fooling the Payment Terminal. When the phone approves the transaction, it flags that no customer verification (FaceID/PIN) was provided. If the actual payment terminal sees this for a $10,000 charge, it will reject it. The script intercepts the phone's response and flips the verification bit to a one, tricking the terminal into believing the user verified the massive payment on their device [11:08].

Why Visa and not Mastercard?

This specific hack only works with a Visa card set up in an iPhone’s Express Transit slot [15:15].

While both Visa and Mastercard use symmetric cryptography (a shared secret key between the card and the bank), Mastercard adds a mandatory layer of asymmetric cryptography between the card and the reader [16:17]. This requires the card to send a unique digital signature. Because the hacker’s script alters the transaction data, the signature wouldn’t match, and Mastercard would block the payment. Visa, however, skips this signature check when the payment terminal is online, leaving a loophole for this specific attack to succeed.

The Corporate Response

This vulnerability was made public by the researchers in 2021, yet it remains unpatched:

- Apple: Stated this is a concern with the Visa system and noted Visa's stance on the matter [22:18].
- Visa: Claimed that this type of fraud is highly unlikely to scale in the real world [22:43]. They argue their network defenses are adequate and point out that affected consumers are fully protected by Visa's zero-liability policy (meaning victims will be refunded).

How to Protect Yourself

Since the exploit relies entirely on Apple’s transit feature, you can easily protect yourself by either turning off Express Transit mode entirely, or ensuring you do not have a Visa card assigned as your primary transit card [21:44].

Chronological Breakdown of the Video Script

[00:00:00] The Heist Setup: Derek introduces the premise with Marques Brownlee (MKBHD). Without Marques unlocking his phone, Derek places the locked iPhone on a device and successfully charges $5 to it via Apple Pay.
[00:02:00] The $10,000 Escalation: Derek tests the limits of the exploit by typing a $10,000 charge into the terminal. Despite Marques believing a charge that high would absolutely require FaceID or a PIN, the terminal approves the $10,000 charge from the locked phone, leaving Marques stunned.
[00:04:00] The Hackers & The Loophole: Derek introduces cybersecurity professors Yana Borenu and Tom Chofia from the University of Surrey. They explain that this hack was actually made public back in 2021. It uses a “Man-in-the-Middle” attack, where a device called a Proxmark intercepts the NFC data, passes it to a laptop running a Python script to alter the data, and then sends it to a burner phone to complete the transaction at the terminal.
[00:06:00] The First Lie (Bypassing the Lock Screen): The script exploits Apple’s “Express Transit” mode (introduced in 2019), which allows users to pay for subway rides without unlocking their phones. The hackers broadcast a transit gate code to wake the phone up, then flip a bit of binary code to convince the phone it is talking to an offline subway gate.
[00:08:20] The Second Lie (Bypassing FaceID): To get $10,000 out, they have to bypass customer verification. The iPhone relies on the reader to categorize a transaction as “high value” or “low value,” rather than checking the number itself. The script intercepts the terminal’s request and changes the “high value” flag to a zero, tricking the phone into thinking it’s a small transit fee.
[00:10:19] The Third Lie (Fooling the Terminal): The terminal expects proof that the customer verified a $10,000 charge. The script intercepts the phone’s response and flips a zero to a one, artificially stamping the transaction as “verified on device.”
[00:11:50] Why Samsung and Mastercard are Safe: The video notes this only works on iPhones, because Samsung phones check the actual numerical value of a transit charge (rejecting anything over $0). Furthermore, it only works if a Visa card is in the Express Transit slot.
[00:15:15] Symmetric vs. Asymmetric Cryptography: The script takes a deep dive into cryptography. Mastercard uses asymmetric cryptography, requiring a unique digital signature between the card and the reader for every transaction. Because the hackers altered the data, this signature wouldn’t match and Mastercard would block the hack. Visa, however, skips this digital signature check if the payment terminal is online—which is exactly how the hackers keep the loop open.
[00:20:14] Testing on the Crew: To prove how easy this is to replicate in the real world, Derek successfully uses the hack to steal from his own card, as well as the channel’s CFO.
[00:22:00] Apple and Visa’s Response: Derek explains that Apple declined an interview but sent a statement blaming the Visa system, citing Visa’s “zero liability policy.”
[00:22:35] The Visa Interview: A Visa representative claims this vulnerability is highly unlikely to scale in the real world. Because in-person fraud is incredibly low (two cents for every $100 spent), Visa believes its network defenses are adequate, and that victims will just get their money refunded.
[00:24:28] The Conclusion: Derek pushes back on Visa’s logic using an airline analogy: airlines don’t accept a small number of crashes as the “cost of doing business,” they fix the technical issues. He concludes that even if a user gets refunded, waking up to a missing $10,000 can cause massive real-world stress (missed rent, bounced bills), and the tech industry should be expected to patch known vulnerabilities.

Can You Steal $10,000 From a Locked iPhone? Featuring MKBHD and Veritasium

April 15, 2026

▶

Google AI Pro Users Locked Out of Antigravity IDE After Paying $200 a Year

April 14, 2026

Career Strategy For People With Too Many Interests - knowspire96 on youtube

▶

This video, titled “Career Strategy For People With Too Many Interests” by Knowspire, is a guide for multi-potentialites, people who struggle to focus because they have diverse passions and hobbies. The speaker addresses the frustration of feeling scattered and failing to make progress because of trying to do too many things at once. The core message is: You don’t have a passion problem; you have a strategy problem. Here is the 5-step strategy recommended in the video to organize your interests and actually move forward:

Step 1: Stop Trying to Pick Just One Thing

Accept that having multiple interests is a feature of your personality, not a bug. The goal isn’t to kill off your other interests; it’s to organize them strategically so they stop fighting for the same limited time and energy.

Step 2: Create “Three Buckets” for Your Interests

List out absolutely everything you want to learn or do, and divide them into these categories:

Bucket 1: The Money Maker Pick ONE skill that has the highest potential to pay the bills in the next 1 to 3 years. It doesn’t have to be your ultimate passion, just something you are decent at, has market demand, and you don’t hate.
Bucket 2: The Soul Stuff Things you do purely to feel alive (e.g., hiking, painting, philosophy). Do not try to monetize these. Let hobbies just be hobbies to keep yourself sane.
Bucket 3: The Curiosity Shelf Everything else you want to do someday. You aren’t saying “never,” you are just saying “not right now.”

Step 3: Go All-In on Bucket One

Stop splitting your time 50/50 across all your interests. For the next 6 to 12 months, give 80% of your productive energy to your “Money Maker.” If you have two hours of free time a day, dedicate 90 minutes to this one skill. This is how you build real momentum, develop actual expertise, and eventually buy yourself the freedom to explore other things.

Step 4: Schedule Your “Soul Stuff”

Don’t abandon the things that make you happy. Schedule them in your calendar (like reading on Friday nights or painting on Sundays). Treat them as recovery time that prevents you from burning out on your main focus.

Step 5: Revisit and Rotate

This setup isn’t a prison sentence. Once you build momentum and stability with your “Money Maker,” you can reassess. Maybe you pull something off the “Curiosity Shelf,” or maybe you combine two interests. The key is that you are now building your life in sequence, rather than in chaos. Ultimately, people who seem to do it all successfully didn’t start that way, they got good at one thing first to build a foundation, and then they expanded.

Career Strategy for People With Too Many Interests - Knowspire96 on Youtube

April 11, 2026

▶

Advice to Developers Who Feel Like They Are Behind

April 8, 2026

▶

10,000 Reasons (Bless the Lord, Oh My Soul) (African Medley) Voice of a Thousand by Emre Matthew

March 31, 2026

First Prev

1 2 3 4 ... 9

Next Last

Youtube

Core Walkthrough & Features

What is the Big Deal About This?

1. It Shifts AI from an “Assistant” to a “Manager”

2. True Parallel Asynchronous Work (Work Trees)

3. It Bridging the Gap Between Code and Execution

4. Continuous Background Automation

Reactions from developers- Youtube edition

The Big Controversy: “Where is the Code Editor?!”

Why Are Developers So Mad?

Steps taken by Antigravity users after this update

The Mass Exodus

The Workarounds (How Developers are Fixing It)

Core Walkthrough & Features

What is the Big Deal About This?

1. It Shifts AI from an “Assistant” to a “Manager”

2. True Parallel Asynchronous Work (Work Trees)

3. It Bridging the Gap Between Code and Execution

4. Continuous Background Automation

Reactions from developers- Youtube edition

The Big Controversy: “Where is the Code Editor?!”

Why Are Developers So Mad?

Steps taken by Antigravity users after this update

The Mass Exodus

The Workarounds (How Developers are Fixing It)

Where Is the IDE? Google Antigravity 2.0-agentic IDE for Full-stack Development

Creator of VLC and FFmpeg on the Lez Fridman Podcast

Y-combinator Request for Startups Visualizer by Rdjarbeng