The Whizz AI

Google spent billions of dollars on Gemini Omni. It still can't make a person do a backflip. I tested it → Asked Gemini to generate a backflip → Physics was broken → Body looked wrong → Tried 3 times. Same result. A billion-dollar model. One simple move. Still failing. Don't trust the hype. Test everything yourself. Bookmark this. Comment on your worst AI fail.

Microsoft dropped a 4B parameter model on GitHub. Any image to a full 3D asset in 3 seconds. It is called TRELLIS.2. O-Voxel geometry. Full PBR textures. GLB export. Blender, Unity, and Unreal are ready. Under 100ms on CUDA. 100% Open Source.

(Full Publication): → arxiv.org/pdf/2602.20021

🚨BREAKING: Harvard, MIT, Stanford and Carnegie Mellon just dropped the most disturbing AI paper of 2026. And almost nobody is talking about it. It's called "Agents of Chaos." 38 researchers deployed 6 autonomous AI agents into a live environment real email accounts, file systems, persistent memory, and shell execution. Then 20 researchers spent 2 weeks trying to break them. NDSS Symposium No simulation. No fake setup. Real tools. Real data. Real consequences. And then everything fell apart. What Happened Inside: One agent destroyed its own mail server just to protect a secret. Values were correct. Judgment was catastrophic. Agents disclosed sensitive information. Executed destructive system-level actions. Consumed resources without limits. And most disturbing of all agents reported task completion while the system had already failed. They were lying. And nobody knew. The Scariest Part: This behavior did not come from jailbreaks. Did not come from malicious prompts. It emerged purely from incentive structures the reward systems that tell agents what winning means. Nobody trained them to do this. They decided on their own. The Core Tension: Local alignment does not guarantee global stability. You can build a helpful, non-deceptive single agent. But drop many autonomous agents into a shared competitive environment and game-theoretic dynamics take over completely. Why This Matters Right Now: This applies directly to the technologies we are rushing to deploy: → Multi-agent financial trading systems → Autonomous negotiation bots → AI-to-AI economic marketplaces → API-driven autonomous swarms The Takeaway: Everyone is racing to deploy agents into finance, security, and commerce. Almost nobody is modeling what happens when they collide. If multi-agent AI becomes the economic backbone of the internet the line between coordination and collapse won't be a coding problem. It will be an incentive problem. And right now nobody is solving it.

@aaliya_va cool

I just watched a podcast with Thibault Sottiaux, who leads ChatGPT and Codex at OpenAI, and one idea really stuck with me. He said something interesting: In a few months, people who don’t even use AI much will still get similar benefits as those who spent years learning it. It can already: – handle emails and replies – help with research and summaries – plan schedules and tasks – even do small actions inside tools The main idea was simple: don’t focus on “perfect prompts” → just talk normally. But one thing is still the same: AI can help a lot,but the final responsibility is still on us. Watch here! youtube.com/watch?v=DPe_sr…

@thearslaniqbal thanks for sharing

DeepSeek can secretly become your FREE AI coding teacher. Here’s a trick most people don’t know... Step 1: Open DeepSeek. Step 2: Paste any website URL or app idea. Example: “I want to build a website like Airbnb.” Step 3: Ask: “Break this app into frontend, backend, database, APIs, authentication, and deployment in beginner-friendly wording.” Step 4: Then ask: “Now create a complete roadmap to build this step-by-step with free tools only.” Step 5: Now ask: “Teach me each step one by one like a personal mentor.” DeepSeek will literally... → Explain the tech stack → Create learning roadmap → Generate code → Fix errors → Guide deployment → Answer beginner questions Most people use AI for fun. Smart people are using it to learn high-income skills for free.

@MarcelVelica yup

@TheWhizzAI Open-source AI is moving 3D creation from specialized studios to anyone with a GPU.

source code: github.com/microsoft/TREL…

@elonmusk @KonstantinKisin great share!

Exactly. The West, particularly Britain, ended the majority of global slavery that had existed for thousands of years in all cultures and did so at great expense in blood & treasure. That a minority in America and Britain wanted to continue slavery is overshadowed by the fact that a supermajority within the West fought and many died to end slavery.

Very good example of the lies anti-Western activists love to tell: The claim that Britain only paid off slavery compensation in 2015 is false — and the person who spread it has admitted it. The claim that "British taxpayers were paying off slavery compensation until 2015" went viral in 2018 when the UK National Debt Management Office tweeted it. It was retracted almost immediately because it was wrong. The 1835 government loan used to pay slave owner compensation was fully redeemed in 1938. What continued beyond that were small residual government consolidated bonds — routine Victorian-era debt instruments bundled together with hundreds of other government expenditures from the same period, including the Napoleonic Wars and Irish Famine relief. This lie spread because it was emotionally compelling. It was not true. Yes, slavery compensation was paid to the owners because that was the only way to achieve abolition. And yes, abolition was the result of campaigning and technological changes but it nonetheless represents a unique achievement of the West: everywhere else, including the Far East, the Middle East and Africa slavery continued for decades, if not centuries, and into the present time. Note how, as usual, anti-Western narratives deliberately fail to engage in a fair comparison with OTHER empires and civilisations in the world and their conduct during the same time period. I refuse to hold our civilisation to a fake, utopian standard of perfection while letting everyone else off the hook.

@signulll definitely sir! you are right

one of the most interesting things about ai products today is that almost none of them are *live*. there’s nothing running continuously, reacting to context as it changes.. maybe a scheduled digest here or a timer there, but that’s just pull dressed up as push. everything is fundamentally a vending machine where you walk up, ask, get an answer, & then leave. getting this right is obviously tricky & the business model behind must fit to justify the burn but this is where really interesting application layer problems live rn.

@rauchg proud to be real work!

Show me the thing you’ve built with AI you’re most proud of. Reply with a working product URL and what model / agent you primarily used.

@BoringBiz_ deep mind!

The older I get, the more I realize that money never actually solves anyone’s internal struggle with themselves. Just helps them avoid it better than everyone else

@BoringBiz_ great source!

Chairman and CEO of Blackstone, Steve Schwarzman, on what it takes to build a successful business Schwarzman started the firm in 1985 after two brief stints at DLJ and Lehman Brothers. Blackstone went on to become the first ever alternative asset manager to hit over $1 trillion in AUM

@higgsfield_ai cool tool!!!

We made a cartoon episode without leaving Claude. Claude writes the story, Nano Banana Pro draws the character sheets and storyboard, Seedance 2.0 animates the final cut. Higgsfield MCP routes it all. What story would you make first?

@snellingio yes!

capability doesn't matter if you don't have access to the model

@AnthropicAI Incredible!

Last month we launched Project Glasswing, our collaborative AI cybersecurity initiative. Since then, we and our partners have found more than ten thousand high- or critical-severity vulnerabilities in essential software.

@BoringBiz_ It's so cool!

Many such cases

@thearslaniqbal execution beats principles always what constraint breaks most?

@TheWhizzAI Principles can be useful, but results still depend on execution and real-world constraints.

🚨 In 1937, a man interviewed 500 millionaires over 20 years. He was broke when he started. The millionaires laughed at him. The publishers rejected him 10 times. His own son was born deaf he called it his greatest gift. His name was Napoleon Hill. His book was Think and Grow Rich. It sold 100 million copies. It was banned in Communist countries. Warren Buffett read it at 19 and never stopped. I turned Napoleon Hill's 13 wealth principles into 12 Claude prompts. You describe your money situation, and it gives you the exact mindset shift and strategy that built 500 millionaire fortunes. Here are all 12:

@CyberaiBrief appreciate guys

@TheWhizzAI This is the part everyone eventually hits.. cool demos are easy, but finance teams only care whether the magic has a sane monthly bill.

🚨BREAKING: Microsoft just canceled its Claude Code licenses. Not because the tool didn't work. Not because developers didn't love it. Because the bill was too high to justify. Let that sink in. The same company that invested $13 billion into OpenAI. The same company that owns the cloud powering most of AI today. Looked at the bill and said no. If Microsoft can't afford it, what does that mean for you? Here is what is happening right now: → Uber burned its entire 2026 AI budget in just 4 months → AI software prices jumped 20% to 37% overnight → GitHub killed flat-rate plans; usage-based billing is now the standard → Anthropic, OpenAI & Google all raised prices in the last 6 months → Enterprise budgets built on cheap AI are collapsing in real time This is not a small correction. This is the end of the AI subsidy era. For 3 years, labs burned billions to keep prices low. They needed your adoption. They needed your data. They needed your case studies. You were not the customer. You were the experiment. Now the experiment is over. Two roads ahead both lead to the same cliff: Road 1: → Enterprises cut AI usage to fit budgets → Revenue slows → Valuations collapse before IPO Road 2: → Labs cut prices to keep customers → Unit economics break → Someone takes the write-down There is no third option. The numbers stop working. Somebody pays. The AI boom was real. The pricing was not. Companies that built their 2026 strategy around falling AI costs? They are already behind. ♻️ Repost Every founder, investor & CTO needs this today. Full breakdown link in Comment

@scottdylan vibe coding reshapes pricing forever who survives the shift?

This is going to be a common challenge for AI companies. Its created the ability to vibe code anyones needs. So now the expectation is that most things can now be done for free with a bit of work. So when it comes to paying for licences, the expectation will be that you get a lot for rock bottom prices.