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@AITechEchoes The real challenge for the AI industry is finding a sustainable balance between national security requirements, responsible AI development, and the independence of frontier AI companies.

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Erina | AI Tools & News @AITechEchoes

a month ago

Mark Cuban is right: Software is dead 145 million homeowners in the US. 99% of them have zero clue how to use AI. They don't need a "SaaS" subscription. They need someone to solve their problems with it. the next decade belongs to the architects, not the coders. and the most

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💙 Follow along and be part of the journey. #OtherworldParade #JAMESFromHereToAlways #PondPhuwinConcertD3

@AITechEchoes Elon Musk!

Elon Musk admitted he is not sure this one is possible. Musk: “This absorbs more of my mental energy than probably any other single thing. But it is so preposterously difficult that there are times where I wonder whether we can actually do this.” He does not talk like this. Mars gets a date. Robotaxis get a date. This gets a maybe. Stern: “What is so hard about it for just a normal person to understand?” His answer comes down to a single number. Musk: “In order to make a rocket fully reusable, you’ve got to basically create a rocket that can do about 4%, if not more than 4%, of its lift-off mass to orbit, which hasn’t happened before.” Four percent. Everything else standing on that pad is fuel, tank, and engine. The landing gear, the heat shield, the extra structure that survives reentry, all of it comes out of that same four. None of it can be left behind. The vehicle has to come home. Musk: “So that means you have to have basically A-pluses across the board: incredibly efficient engines, incredibly efficient structure.” Across the board is what makes this brutal. Most engineering lets you buy a weakness in one place with strength somewhere else. The margin here is thin enough that one component landing at merely excellent drops the whole vehicle below the line. Nothing carries anything. Musk: “But if full and rapid reusability can be achieved, it reduces the cost of access to orbit by a factor of 100 or more.” A hundred times cheaper turns nearly every question about space from whether into when. Telescopes, stations, factories, missions that never made it past a spreadsheet. Musk: “So we’ve got to get rockets to the point where we simply refuel the rocket and we don’t throw it away.” Every other vehicle humans build already works that way. Space is the one place we still build the machine, use it once, and let it fall into the ocean. Musk: “It’s the difference between humanity being a single-planet species and a multi-planet species. It’s really that big of a deal.” Now put his doubt in context. Landing an orbital booster upright was considered impossible by most of the industry. He spent years being told so while boosters exploded on barges. Those landings became routine, then boring, then unwatched. Then they stopped using legs. A twenty story booster came back from the edge of space, slowed itself, and hovered next to the tower it launched from. Two arms closed around it and took its weight in midair. Nothing touched the ground. That was a headline for about a day. He has been on this side of impossible before, more than once. Doubt from him measures how hard the thing is at the start rather than how it ends. Most people never attempt anything where failure is genuinely on the table. He found the hardest problem available and made it the center of his life. That is what real ambition looks like from the inside. Not certainty. A number nobody has ever hit, and showing up to it every morning until it falls.

@AITechEchoes nice post

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@axiatechie Good job

If you lost your job tomorrow & had to replace your salary asap, here's exactly what you should do: Step 1: Go to Instagram and start a fresh account. Use a spare email. Nobody has to know.

@AITechEchoes Everyone is using Ai to save time.

How to make $10k/ Month in 365 days Purely with "AI" Everyone is using AI to save time Almost nobody is using it to build income streams Here are 10 business models people can build with AI, including the system behind them Save this

@AITechEchoes Great share

The underrated part of this launch isn't free mode by itself, it's what it does to your default behavior When every interaction has a visible cost you optimize for one shot prompts. you front load a giant spec, hit go, and hope. that's a terrible way to build anything you haven't built before More room in the core experience means you can start messy. explore, get it wrong, follow the interesting tangent, throw work away without flinching Replit also still lets core and pro users pick models manually when you want that control. the power didn't go anywhere, the everyday experience just got a lot bigger #ReplitPartner

Replit ⠕ @Replit

a month ago

Replit Free Mode, powered by @OpenAI GPT-5.6 Luna. Let’s make intelligence accessible to everyone.

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@axiatechie Ai is really helpful.

OpenAI is falling apart right now. 9 of their most important leaders have left the company recently, and Altman is about to ask the public to buy the stock. 2 of them even walked out within 72 hours of OpenAI handing its own staff $7 billion in cash... On Monday, August 10, OpenAI completed a deal letting current and former employees sell roughly $7 billion worth of their shares. The price valued the company at $852 billion, the exact same number as its March funding round. On Tuesday, August 11, Brad Lightcap announced he was leaving after 8 years. He spent 4 of them as chief financial officer, then ran the company as chief operating officer from 2022 until April. He worked alongside Sam Altman at Y Combinator before OpenAI existed. On Thursday, August 13, chief revenue officer Denise Dresser announced she was leaving. She was hired in December from Salesforce, where she had been the CEO of Slack. In April she took over most of Lightcap's responsibilities. She lasted 8 months. The cash window opened Monday. By Thursday both executives who ran the business side were gone. But what's interesting is who actually wrote the $7 billion cheque: Every previous time OpenAI let its employees cash out, an outside investor bought the shares. In October, Thrive Capital, SoftBank and others put up $6.6 billion at a valuation near $500 billion. There was a $1.5 billion version of the same deal in 2024. This time OpenAI bought the shares back itself, using its OWN money. So no outside investor put a single dollar behind that $852 billion price. The company named its own number and then paid it. This is a business generating around $2 billion a month while losing roughly $1.22 for every single dollar it earns. And it just spent $7 billion of that cash buying its own stock at a number no third party ever tested. Here is the full list of the people who left since April: - Bill Peebles, who ran the Sora video app - Kevin Weil, vice president of OpenAI for Science - Srinivas Narayanan, technology chief of B2B applications - Kate Rouch, chief marketing officer - Josh Achiam, chief futurist, after nearly nine years - Johannes Heidecke, head of Safety Systems - Chloe Bakalar, the only person at OpenAI whose entire job was ethics - Brad Lightcap - Denise Dresser Bakalar left in July. OpenAI never announced it, and NOBODY has replaced her. Fidji Simo stepped down the same month, and two thirds of the organization had been reporting to her. Greg Brockman absorbed most of her job. He also introduced Dresser's replacement this week, a Wiz executive named Dali Rajic. OpenAI filed its IPO paperwork confidentially on June 8. The full prospectus, the one with audited financials in it, still has not appeared. So the order of operations is worth sitting with... File the paperwork in June. Buy your insiders out in August at a price you set yourself. Watch the people who built the commercial side leave that same week. Then show the public the books. Retail investors will see those numbers for the first time in a document written after every one of these people had already made their decision. Sam Altman told staff in June that he expects to go public within the next year. Reporting since then has pointed at 2027 instead, and a tender offer of this size is usually what a company does when the listing is not close. Here is what I think happens next: That prospectus lands with a revenue line big enough to carry the story, and the executive turnover gets buried in the risk factors where almost nobody reads. The people who priced OpenAI at $852 billion this month were the same people who took the money out of it; and the next set of buyers will not get that arrangement.