Friday AI Brief: GPT-4.5 Rumors, OpenAI’s $60M Move, Grok Data Pause, and TSMC’s Sales Surge

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Have a great weekend!

In today’s edition:?

• Sam Altman’s Garden Post Sparks GPT-4.5 Rumors
• OpenAI Bets $60M on SF-Based AI-Powered Webcam Startup
• Elon Musk’s X Halts EU Data Processing for Grok Training
• TSMC Reports 45% Sales Growth in July Amid Rising AI Chip Demand

- Naseema Perveen

WHAT CAUGHT OUR ATTENTION MOST

Sam Altman’s Strawberry Post Sparks GPT-4.5 Rumors

Sam Altman, CEO of OpenAI, recently shared a photo of strawberries in his garden, sparking excitement among AI enthusiasts. The seemingly casual post, captioned "I love summer in the garden," hinted at something much bigger: a secretive project known as "Project Strawberry."

Social media platforms like X exploded with theories after spotting four strawberries in the photo—three ripe and one still developing. Some believe this hints at the stages of a new model, possibly GPT-4.5. As one user, Mirra, pointed out, "4 strawberries… and another half-developed one… this must be a sign of GPT-4.5!". According to leaked documents, Project Strawberry (formerly Q*) is an advanced AI model that could bring us closer to autonomous AI agents.

Unlike current models that generate answers, this technology aims to plan, navigate the internet, and perform deep research autonomously. This could be a significant step towards achieving artificial general intelligence (AGI). However, details and timelines for Project Strawberry remain unclear. Altman's post might also be a strategic move to stir interest during a challenging time for OpenAI, as key executives have recently left or taken sabbaticals. Coupled with concerns about the AI bubble and cooling interest on Wall Street, OpenAI's path forward is uncertain.

IN PARTNERSHIP WITH YANDEX RESEARCH

The evolution of LLM compression methods: from QuIP to AQLM with PV-Tuning

While large language models open up a world of possibilities, they can also be incredibly expensive and complex to deploy. That's why researchers are racing to find ways to compress these models without sacrificing performance. Learn about the evolution of extreme LLM compression methods in our latest article . Spoiler alert: a brief "rivalry" between two research teams led to scientific breakthroughs.

From QuIP to AQLM with PV-Tuning: LLM compression at the extreme

The trade-off between large model size and computational efficiency has long been a challenge in deploying language models. The research community has been looking to reduce model size by 8 times, down to 2 bits. This year, they found a way to do it without sacrificing model performance.?

Here's the story behind the evolution of extreme LLM compression methods.

KEEP YOUR EYE ON IT

OpenAI Bets $60M on SF-Based AI-Powered Webcam Startup

OpenAI is diving into the hardware world with a $60 million investment in a San Francisco-based startup that designs “DSLR quality” webcams and accompanying software. This move signals OpenAI’s expanding focus on hardware, potentially transforming everyday devices with advanced AI capabilities.

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