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THEWHITEBOX

TLDR;

👏 New Premium Content on embedded software development, beating GPT-4o with ten lines of data, improving LLM performance by 20% with ten lines of code, and AgentQ’s deep dive

📰 Hot news from video generation models, Neuralink, living computers, & OpenAI

🏝️ Insights on the most used GenAI products, the project that saved billions with AI, & more

🆕 Trend of the Week: Neuroscientific breakthrough with huge impact on AI. Dreams are Simulations.

OTHER PREMIUM CONTENT

Other New Premium Content

😟 Are embedded software developers (and others) being substituted by AI? (Full Premium subscribers)

🥳 Train an open-source model to beat GPT-4o with just 10 examples (Full Premium subscribers)

😦 Improve LLM performance by 20% with just one change: min-p sampling (Full Premium subscribers)

🕵🏽 AgentQ, Technical Deep Dive (Full & Basic Premium subscribers)

Newsreel📰

HARDWARE

Living Computers are here… for rent

To replicate one human’s brain computing-power-to-energy-use ratio, with 86 billion neurons and just 20W of power required with a digital processor data center, you would need a 10 MW power plant, enough to provide electricity for 1,600 homes.

But FinalSpark is proposing the use of Bioprocessors, human brain organoids that provide the required compute in a much cheaper way.

And now, you can rent them over the Internet for just $500. In the meantime, you can watch a live stream of the system.

TheWhiteBox’s take:

I mean, the technology is fascinating. By stimulating the organoids in a specific way, the researchers induce certain neurological pathways in the organoids that can imitate logic gates, memory, and other key elements of compute processing to enable them to perform calculations.

However, I have many concerns about this method. Is it scalable? The cells have a 100-day service period, and I don’t think mass production of human brain organoids is easy to find.

But the incentives to find cheaper compute alternatives are huge, considering that we don’t have a definitive answer to how we are going to handle a potential increase of 40 GW of power requirements for AI in just two/three years, so large that the total data center demand for US and China in 2027 will outpace total France and Italy combined energy consumption in 2022… and that’s without considering Europe, too.

VIDEO GENERATION

The Text-to-Video Wars Intensify

Both the Chinese Kling and Luma’s Dream Machine, along with Runway two of the three biggest rivals to OpenAI’s Sora, have seen quite the quality upgrades this week.

The former has released several examples of how it allows you to create remarkable videos using still images, while the latter has considerably improved its text generation, enhanced motion, and prompt fidelity.

TheWhiteBox’s take:

While the field of video generation is advancing rapidly, we have yet to see a single model that can confidently understand the world. They simply don’t understand causality.

Using Kling as an example, in the fourth video, you can see a kid biting into a gyoza dumpling that… survives the bite unscathed. On a final…

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