Vadim M

@ShaziGoalie @Bhaumik_v I took a look Second Mortgage for $200K gets totally wiped out Home Trust First Mortgage $2.28M likely a $500K loss for HT Likely bankruptcy for the Buyers Sad really

In 19 days, a jury in Oakland is going to decide whether the entire legal foundation of the AI industry is built on fraud. Everyone thinks the Musk vs Altman lawsuit is a billionaire grudge match. Two egos, one grudge, a $150 billion damages number designed for headlines. Easy to dismiss. Easy to scroll past. That's exactly what Altman wants you to think. Because what's actually on trial on April 27 is something much BIGGER than Elon's hurt feelings... A jury is going to decide whether you can legally take billions of dollars in nonprofit donations, use them to build the most valuable technology in human history, and then quietly convert that nonprofit into a for-profit company worth $850 billion. If the answer is no, the entire AI industry has a problem. Because OpenAI is not the only company that did this: Anthropic was founded by OpenAI defectors using the same nonprofit-first mission language. xAI pitches itself as building AI "for humanity." Every frontier lab has used the moral cover of "we're doing this for the good of the world" to attract talent, capital, and regulatory goodwill they would have never gotten otherwise. An Elon win doesn't just touch OpenAI. It creates a legal precedent that every AI company built on a nonprofit or public benefit promise becomes vulnerable to shareholder and donor clawback suits. That's why this case matters. And that's why Altman is panicking. Just look at what he did this week: Elon filed a motion demanding the court remove Altman and Brockman from their roles and FORCE OpenAI to return to its nonprofit origins. Then he amended the suit to say if he wins the $150 billion, all of it goes to OpenAI's charity arm. Not him. Zero dollars to Elon personally. That amendment was surgical. It stripped Altman of his entire public defense. He can no longer claim this is about Elon's ego or Elon's bank account. Elon is now legally on record saying he just wants the mission back. OpenAI's response was to panic-write a letter to the California and Delaware attorneys general asking them to investigate Elon for "anti-competitive behavior." Their strategy chief publicly accused Elon of coordinating attacks with Mark Zuckerberg. They called the lawsuit "harassment driven by ego and jealousy." That's NOT the response of a company that thinks it's going to win. Real companies with real defenses don't ask the government to silence the person suing them 3 weeks before trial. They let the evidence speak. OpenAI is scrambling because they know what's in discovery. Elon's team has been building this case for two years. Emails, board minutes, internal conversations about the conversion. The kind of paper trail that juries understand and executives can't explain away. And the timing couldn't be worse... OpenAI is trying to IPO at $852 billion. They just raised $122 billion. Microsoft has $135 billion of exposure to them. A jury verdict that even partially sides with Elon in late April or May would crater the entire IPO runway and send shockwaves through every major AI investor on Earth. This is why Altman spent the last 2 weeks doing press tours and policy blueprints and "super intelligence agendas" aimed at Washington. He's trying to REFRAME himself as the responsible statesman of AI right before a jury decides if he's a con artist. Most people will watch this trial start and think it's celebrity drama. The smart money is watching it and realizing that the legal foundation of the AI boom is about to be tested in court for the first time EVER. And if that foundation cracks, everything built on top of it is at risk.

@EFF I mourn the loss of what EFF once was as a defender of liberty online.

The 𝕏 algorithm is open source and updated frequently, but you do not point to any alleged bias or suggest corrections, choosing instead to leave for platforms that everyone knows have a strong bias for political correctness, which just another way of saying “lies”. You used to be about freedom and truth, but now you want to destroy freedom of speech and artificially suppress viewpoints that run contrary to the lunatic-left activism that drives your every action. Shame on you.

canada's putting out bangers

@TechloreInc Do you think any of these updates will be available for the free version of ProtonVPN?

Really nice updates to Proton VPN!

@ProtonVPN Anything of this available for the Free version of ProtonVPN?

1/7 In our fall/winter roadmap, we promised faster apps, a Linux CLI, and more privacy for everyone. Today, we're recapping everything we shipped, including a few things that weren't on the roadmap at all. Let's get into it 👇

We need to focus on finishing Colossus 2 and ensuring it is extremely stable, then will build the water recycling plant

马斯克要把告openai可能赢得的赔偿$150Billion留给openai的charity arm，这事都没啥人说。现在连赞扬一下首富的初心和情怀都没人敢了吗？

For those of you who are surprised or upset that regressions are present in FSD v14.3, keep the following in mind: - This is completely normal in neural network development cycles. - Progress is not linear, especially after major architectural changes are made, which is exactly what happened in v14.2 and v14.3. - The upcoming v14.3.x minor builds will focus on eliminating those regressions, and the end result should still be a clear step forward from v14.2.x. Patience is key here. Big leaps often come with temporary bumps.

@brave @Dexerto When will you Make an App for appleTV(not a browser)?

@Dexerto Still worth it to watch YouTube through our browser, though 🙂

YouTube has begun rolling out 90 second unskippable ads to their TV app “It’s simply not worth it to watch YouTube on the TV”

I remember this “not-a-flamethrower” moment fondly. It was being sold through Shopify and I had to explain Elon’s shenanigans to risk, underwriting and AUP teams all at the same time to keep it up.

前不久特斯拉停止Autopilot，把我加入AI组做的第一个项目代码彻底删除了 这次更新MLIR，把我在硬件组的最后一个项目代码彻底替换了 从此，FSD与我无关了

It's because they're BRIBED to do it Not bribed with money, bribed with Perks, bribed with quiet promises of future higher paying positions in Parliament, bribed with assurance of Party Support in the next election, bribed with Polling numbers that favor the Liberals 3/

Conservatives Members Of Parliament Crossing The Floor To Become Liberals: Those MPs Were BOUGHT I don't think we can end Floor Crossings because it's just too hard, it's almost a Constitutional change But look at WHY people elected to represent one party switch parties 2/

AI4的算力还远没有被榨干 V14.3主要是RL训练算法，和数据更新的提升，不涉及模型大小 训练一个更大的模型，特别是10X级别，收敛速度赶不上提升RL算法的提升效果，用小模型更契合V14.3的release进度 那么V15将是10X的大模型，辅助不断增强的RL训练算法 目标是远超人类的驾驶

The release of FSD v14.3 and discussions from insiders have given me a clearer picture of why Tesla is not rushing to deploy a 10x larger parameter model with version 14. Under the hardware constraints of existing HW4, Tesla’s engineering team must make a trade-off between MPI (Miles Per Incident, a safety metric) and inference latency. By thoroughly overhauling the underlying technical architecture—including a full MLIR rewrite of the compiler and runtime, along with upgrades to RL training—they are attempting to shift the entire “autonomous driving efficiency curve” outward, rather than simply moving along the existing curve. Increasing model size (Large Model) typically improves MPI (theoretically making the system safer with fewer incidents). However, on fixed hardware, a larger model often increases inference latency (slower response). If latency rises too much, even if MPI gets better, overall real-world safety may actually decline—because delayed reactions can allow small errors to compound into serious problems. Simply forcing a Large Model would likely push the curve toward “higher MPI but significantly higher latency,” which in practice would be a poor trade-off. The essence of v14.3 is to achieve an “outward shift of the curve.” It is not just about making the model bigger or smaller. Instead, through the MLIR reconstruction of the entire compiler and runtime, Tesla enables the same HW4 hardware to deliver higher performance at lower latency. At the same time, they use RL to optimize for hard examples, improving MPI without a noticeable increase in latency. This effectively pushes the entire “MPI–Latency efficiency curve” up and to the right—achieving a better trade-off.

@faultbugs Thank you for breaking it down. Worth a read, definitely 👍

感谢大家！原线程已经破12万浏览了，非常感谢各位的支持和讨论！正好Elon今天也发了关于V15的帖（大模型即将到来），和我之前讲的“v14.3新底座是为后续大模型铺路”高度一致。为了让大家更清楚v14.3底层重构的意义，我新开一个线程，重点把车端运行时（Runtime）的MLIR重构讲得更细一些。下面进入正题……

很多人最关心的是：v14.3实际表现如何？其实，切换新框架后，最重要的是不能出现性能退化，要保证稳定运行。 只要新版本等于或略好于v14.2.2.5，这次重构就成功了。而实际情况是：车主普遍反馈反应速度提升了20%以上，更灵敏、更丝滑。这说明这次重构非常成功！后续的V14甚至是V15版本，是非常值得期待的。4/4

这就是Elon最终决定彻底重构车端推理框架（Runtime）的原因。就像打好能支撑十层楼的新地基一样，有了这个基于MLIR重构的新运行时，后续才能真正承载更强大的大模型（v15及以后），而不用每次都大幅妥协。3/4