DeepMind opens up AlphaFold 3 protein prediction model

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Here is what we have Today:

• 🧬 DeepMind gives away AlphaFold 3 like free samples at Costco.

• 🤖 OpenAI's new model is having a mid-life crisis

• 🕶️ Amazon's new glasses: Making delivery drivers look like Tony Stark

• 💻 Alibaba to GPT-4: "Hold my code"

• 💼 New Job Opportunities

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🧬 Google DeepMind AlphaFold 3 Goes Public

Google DeepMind has open-sourced AlphaFold 3, making its Nobel Prize-winning protein prediction model available to academic researchers worldwide for the first time since its limited release in May.

What can AlphaFold 3 do?

• Predicts protein-molecule interactions (DNA, RNA, drug compounds).

• Has mapped over 200M protein structures.

• Demonstrates unprecedented accuracy in structural biology.

• Enables complex protein-drug interaction predictions.

Who gets access?

• Academic researchers worldwide for non-commercial use.

• Full access to code and training weights.

• Commercial applications remain restricted.

• Isomorphic Labs maintains exclusive commercial rights.

What's the commercial impact?

• Isomorphic Labs secured $3B in pharmaceutical partnerships.

• Companies like Baidu and ByteDance have created their own versions.

• Opens new possibilities for drug discovery.

• Levels the playing field beyond well-funded institutions.

Why is this significant?

• Democratizes access to cutting-edge protein research tools.

• Could accelerate breakthroughs in biology and medicine.

• Enables smaller institutions to conduct advanced research.

• May lead to faster drug development and medical discoveries.

What's next?

• Expected surge in protein research worldwide.

• Potential for new medical breakthroughs.

• Likely increase in scientific collaborations.

• Possible emergence of new research applications.

This release marks a pivotal moment in scientific research, potentially accelerating discoveries in medicine and biology while democratizing access to advanced AI tools.

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• Alibaba Cloud’s Qwen has released a suite of new AI coding models — Qwen2.5-Coder series spans six different sizes (0.5B to 32B parameters), with its flagship 32B version matching GPT-4o and Claude 3.5 Sonnet's performances on key benchmarks while remaining completely open-source.

• The Vatican and Microsoft unveiled a digital AI-powered twin of St. Peter’s Basilica created from 400,000 images, enabling virtual visits and help identifying structural damage ahead of the 2025 Jubilee.

• Amazon is developing smart glasses — codenamed Amelia — will use Amazon’s Echo Frames technology to provide drivers with turn-by-turn directions on a small embedded screen, to guide drivers in and buildings to shave seconds from the last 100 yards of each delivery — preventing the need for handheld GPS devices.

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