Etiqueta: Otra tag con espacios

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Tesla has proposed a massive new $1 trillion compensation package for its CEO Elon Musk, and many of the benchmarks he needs to hit are simply watered-down versions of promises he’s spent years making about the company.

That’s not the picture Tesla’s board of directors paints in the company’s annual proxy statement, where they revealed the proposed pay package. Instead, the board focuses on how it plans to create “the most valuable company in history.”

To be sure, if Tesla accomplishes all that it aims for with this deal, it will look like a much different company at the end of the 10-year period it covers. That doesn’t change the fact that the milestones the company is asking Musk to aim for are less ambitious than his own previously stated goals.

While the unprecedented pay package still needs to be approved by shareholders at a meeting in November, it’s easy to see the company’s fervent fan base voting “yes.” Previous votes on Musk’s compensation have been overwhelmingly approved by Tesla’s shareholders.

With that in mind, let’s take a look at what Musk needs to accomplish in order to receive the full payout.

Musk spent years claiming Tesla would be able to make 20 million electric vehicles per year by 2030. This was back when he and his company were still promising to grow at a rate of 50% each year.

But Tesla walked away from those promises as sales growth stalled, and then reversed in 2024. The company then pulled the 20-million-per-year goal from its impact report last year and stopped building a planned factory in Mexico that would have increased production.

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The iPhone 17 received a makeover to align more closely with the Pro models. It features a slightly larger 6.3-inch screen, which is an increase of 0.2 inches compared to the iPhone 16. It also has a 120 Hz display, a substantial upgrade from the current 60 Hz. The phone also has a 48-megapixel ultrawide camera.

It comes in new colors: lavender, mist blue, black, white, and sage.

The Pro’s upgrades are mainly on the back of the phone. The three rear cameras are now arranged in a rectangular bar that extends from one edge of the device to the other. The flash, light sensor, and microphone are positioned far to the right side. Where the MagSafe charger is, the Apple logo is centered for aesthetic reasons.

Notably, the iPhone 17 Pro switched materials, replacing the titanium band around the screen with aluminum.

The iPhone 17 starts at $799 and has a base storage of 256GB. In contrast, the iPhone 16 started at $699 for 128GB. The Pro model costs $1,099, and the Pro Max is $1,199.

While the event’s primary focus was on the iPhones, Apple announced new phone cases as a bonus. Called “TechWoven” cases, these feature a higher quality woven material compared to the discontinued “FineWoven” line of fabric cases Apple released in 2023.

The biggest announcement at the event was the debut of Apple’s slimmest phone ever, the iPhone Air, which replaces the iPhone Plus. 

This device has a profile thickness of 5.6 mm, making it about 0.08 inches thinner than current iPhones. It also features a 6.6-inch screen and a 120 Hz ProMotion display. The device is eSIM only, which helps the product maintain its sleek design.

This move appears to be Apple’s response to the trend of slimmer smartphones, following in the footsteps of other companies like Samsung and Huawei. The iPhone Air could potentially outshine the Samsung Galaxy S25 Edge, which measures 5.8 mm thick. Additionally, it may pave the way for Apple’s long-rumored foldable phone, predicted to launch in September 2026.

The device is priced at $999 and will be available in black, white, sky blue, and light gold.

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There’s been great interest in what Mira Murati’s Thinking Machines Lab is building with its $2 billion in seed funding and the all-star team of former OpenAI researchers who have joined the lab. In a blog post published on Wednesday, Murati’s research lab gave the world its first look into one of its projects: creating AI models with reproducible responses.

The research blog post, titled “Defeating Nondeterminism in LLM Inference,” tries to unpack the root cause of what introduces randomness in AI model responses. For example, ask ChatGPT the same question a few times over, and you’re likely to get a wide range of answers. This has largely been accepted in the AI community as a fact — today’s AI models are considered to be non-deterministic systems— but Thinking Machines Lab sees this as a solvable problem.

The post, authored by Thinking Machines Lab researcher Horace He, argues that the root cause of AI models’ randomness is the way GPU kernels — the small programs that run inside of Nvidia’s computer chips — are stitched together in inference processing (everything that happens after you press enter in ChatGPT). He suggests that by carefully controlling this layer of orchestration, it’s possible to make AI models more deterministic.

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