Maligned - December 23, 2025

AI news without the BS

Here’s what actually matters in AI today. No fluff, no hype - just 5 developments worth your time.

Today’s Top 5 AI Developments

1. AlphaFold 3: Reshaping Biology & Drug Discovery 🔬

DeepMind’s latest, AlphaFold 3, is a game-changer for understanding life itself. It can predict the structure and interactions of proteins with DNA, RNA, and other molecules with unprecedented accuracy, moving beyond just protein folding. This isn’t just academic; it’s a monumental leap for drug discovery and molecular design, cutting years off traditional research.

Source: Google DeepMind Link: https://deepmind.google/discover/blog/alphafold-3-achieves-unprecedented-predictions-of-biological-molecules/

2. GPT-4o: Real-Time Multimodal Power Hits the Mainstream 🗣️👀

OpenAI dropped GPT-4o, showing off truly native multimodal capabilities across text, audio, and vision. It understands and responds with human-like speed and expressiveness, handling emotional nuances in voice and interpreting visual cues in real-time. This isn’t just an incremental update; it’s a huge step towards more natural, intuitive AI interaction, blurring lines between human and machine communication.

Source: OpenAI Link: https://openai.com/index/hello-gpt-4o/

3. Llama 3: Meta’s Open-Source Offensive Gains Momentum 🚀

Meta’s Llama 3 models are pushing the boundaries of what’s possible in the open-source AI landscape. With improved reasoning, coding, and multilingual capabilities across 8B, 70B, and 400B+ parameter versions, they’re becoming serious contenders against proprietary models. This democratizes powerful AI, enabling more innovation and challenging the dominance of closed-source giants.

Source: Meta AI Link: https://llama.meta.com/llama3/

4. Gemini 1.5 Pro & Flash: Massive Context, Smarter Efficiency 🧠

Google’s Gemini 1.5 models, particularly Pro and Flash, are making waves with their astonishingly long context windows (up to 1 million tokens, even 2 million in research) and enhanced efficiency. Pro brings robust performance for complex tasks, while Flash offers speed and cost-effectiveness. This means AI can now process entire codebases, long documents, or even full-length novels in a single prompt, unlocking new possibilities for analysis and understanding at scale.

Source: Google DeepMind Link: https://blog.google/technology/ai/gemini-next-generation-model-google-ai/

5. Figure AI & OpenAI Partnership: Humanoid Robots Get Brains 🤖

The partnership between Figure AI and OpenAI is a clear signal that embodied AI is rapidly maturing. Figure’s humanoid robots are now leveraging OpenAI’s advanced models for high-level reasoning and language understanding, moving beyond simple task execution. This collaboration aims to accelerate the development of general-purpose robots capable of operating in human environments, bringing us closer to practical, autonomous physical AI assistants.

Source: Figure AI / OpenAI Link: https://www.figure.ai/news/figure-raises-675m-series-b-with-investments-from-microsoft-openai-nvidia-jeff-bezos-and-amazon

That’s it for today. Stay aligned. 🎯

Maligned - AI news without the BS