# Sep 5, 2024

### Show HN: An open-source implementation of AlphaFold3

**Ligo's open-source implementation of AlphaFold3** aims to advance biomolecular structure prediction, initially releasing single-chain prediction capabilities with plans to expand to ligand, multimer, and nucleic acid predictions. [Sign up for beta testing here](https://form.fillout.com/t/ct1BWM5QWqus).

### AlphaProteo generates novel proteins for biology and health research

**AlphaProteo**, a new AI system by Google DeepMind, designs novel proteins with high binding affinities, potentially revolutionizing drug design and disease understanding.

### Show HN: Graphiti – LLM-Powered Temporal Knowledge Graphs

**Graphiti** dynamically constructs **temporal Knowledge Graphs** from both structured and unstructured data, enabling complex relationship tracking and historical context maintenance over time.

### Launch HN: Maitai (YC S24) – Self-Optimizing LLM Platform

**Maitai introduces a self-optimizing LLM platform** that enhances request routing, autocorrects errors, and fine-tunes application-specific models for incremental improvements, demonstrated through a [demo video](https://www.loom.com/share/a2cd9192359840cab5274ccba399bd87?sid=7097fd84-ea85-42cd-9616-84abc1087a56) and an interactive game at [maitaistreasure.com](https://maitaistreasure.com/).

### The Memory Wall: Past, Present, and Future of DRAM

**DRAM scaling has significantly slowed**, with density increases now only doubling every decade compared to the historical rate of doubling every 18 months, highlighting a stark departure from the rapid advancements seen in the past.

### Reflection 70B, the top open-source model

**Reflection 70B**, an **open-source model**, introduces a novel **Reflection-Tuning technique** for self-correction in LLMs, setting a new standard in AI development.

### LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture

**LongLLaVA**, a **hybrid Multi-modal Large Language Model (MLLM)**, introduces a **novel architecture** combining Mamba and Transformer blocks to enhance long-context understanding in images and videos.

### [R] Fixed Point Diffusion Models

The **Fixed Point Diffusion Model (FPDM)** introduces an **implicit fixed point solving layer** into diffusion models, enhancing image generation by making the process more efficient and effective.

### [R] Is exploration the key to unlocking better recommender systems?

**Google DeepMind's research** suggests that **exploration** in recommendation systems can **significantly enhance long-term user experience** by diversifying content.

### [R] What if self-attention isn’t the end-all be-all?

**Masked Mixers** propose an **alternative to self-attention mechanisms** in transformers, addressing **information loss** issues.

### [R] DiffUHaul: A Training-Free Method for Object Dragging in Images

**DiffUHaul** enables **seamless relocation of objects** within images, addressing the challenge of spatial reasoning in image editing without the need for training.

### The New Test Images – Image Compression Benchmark

The **new test images** for image compression research replace outdated ones like lena and pepper, offering **high-resolution** and **high-precision** variants to challenge and evaluate algorithms more effectively.

### [P] What's the best performance metrics for segmentation tasks and how to improve performance of highly skewed dataset?

**For brain tumor segmentation tasks with highly skewed classes**, the choice of performance metrics significantly impacts the model's ability to distinguish between the majority background and the minority tumor classes.

### CUDA-Free Inference for LLMs

**Achieving FP16 inference for LLMs like Meta's Llama3-8B and IBM's Granite-8B** solely with [OpenAI’s Triton Language](https://github.com/triton-lang/triton) resulted in **0.76-0.82x** performance compared to CUDA-based methods on Nvidia GPUs.