AI Still Can't Plan, OpenAI's Drama, Llama 3.2, & more

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THEWHITEBOX

TLDR;

🧐 OpenAI is a Never-ending Drama

🦙 Meta Presents Llama 3.2 Models

📰 Google Releases New Gemini 1.5 Pro Version

🤩 GenAI, Faster Adopted Than The Internet

🫢 Allen AI Presents Molmo, the Best Open-Source Model Ever

👑 The Agentic SaaS Wars Are Here

🥳 AI Identifies Unexpected Deaths Before they Take Place

[TREND OF THE WEEK] AIs Still Can’t Plan.

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NEWSREEL

OpenAI Just Loves Drama

One week passes, one week that OpenAI is surrounded by controversy. Today, our previous news that OpenAI might be going full for-profit became a reality, according to Bloomberg, with Sam Altman allegedly getting 7% of the company that, let’s not forget, was once born as a non-profit company.

Coincidentally, yesterday, the company’s CTO, Mira Murati, announced her departure. In the meantime, they are finally releasing the highly-awaited Advanced Voice Mode, but it’s only available to specific countries that, unsurprisingly, don’t include the EU.

TheWhiteBox’s take:

Eleven people founded OpenAI, but only three remain: Sam Altman, Greg Brockman (on sabbatical leave, though), and Wojciech Zaremba. Many other executives are leaving, too, probably unhappy with the company's direction.

It must be said it was probably inevitable; AI requires humongous amounts of cash, and things will only get worse. Humans are incentive machines, so nobody will pour trillions into a non-profit.

But probably the worst thing here is how they are doing this transition. Four months ago, Sam Altman said he didn’t need the money, which is why he didn’t have a stake in the company. How the turn tables.

OPEN-WEIGHTS

Meta Presents Llama 3.2 Models

Meta has taken a turn for multimodal and edge devices with Llama 3.2 models, a new family of LLM/MLLMs meant to be run in a more affordable fashion.

Two small models (1 & 3 billion parameters, respectively) are ‘ideal’ for edge devices and optimized for ARM processors (the overwhelming processor type in smartphones and other devices). These models offer comparable performance to models their size. These are text-only.

Two mid-sized models (11 & 90 billion respectively), with the latter offering comparable performance to GPT-4o mini. These are multimodal, allowing the processing of images apart from text.

They have also released the Llama Stack API, supported by many providers already, making the overall experience of working with Llama models a great one. With Llama models becoming a ‘developer platform’ for Generative AI, Llama Stack could soon be a ‘must-have’ skill for developers.

TheWhiteBox’s take:

Couple of points to go beyond the hype.

There seems to be a convergence toward 70-90 billion parameter-sized models. . Marketing aside, the edge models aren’t that small, at least not compared to the hardware…

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