Super Intelligence - si
Artificial intelligence
AI is revolutionizing various fields with its ability to process vast amounts of data, identify patterns, and make accurate predictions. Here are some notable advancements:
## AI
AI Models
ChatGPT
Google Gemini
Anthropic Claude
Microsoft Copilot
xAI Grok
IBM Watson
AI Image Generation
ChatGPT Sora
Google Gemini Nano Banana
Midjourney
Browsers
Perplexity Comet
OpenAI Atlas
Google Disco
Developer Tools
Claude Code
Cursor
Amazon Kiro
Google Antigravity
Language Translators
Google Translate
Meta Omni lingual
Cybersecurity
Anthropic Mythos
Open AI GPT 5.4 Cyber
AI Agents
Meta Muse
Open AI Dots
## Computing
World Simulation Model
Google World Simulation Model
NVIDIA Cosmos Omniverse
OpenAI Sora Physical AI
Tesla’s FSD and Optimus are leading in embodied physics. Tesla uses a unified neural world simulator
World Labs Atlas - Marble
AI is being used to optimize data centers and design next-generation AI chips, accelerating its own development.
Project AlphaChip
Model Context Protocol
Model Hardware Standard
Flow Engineering offering AI tools for hardware design
## Medical AI
Digital Biology - Nvidia BioNemo
Digital Chemistry - Chemcrow
DNA Sequencing - PacBio Uses NVIDIA Tensor Core GPUs in its Revio system, which is designed to sequence human genomes at scale.
Drug Discovery - Nvidia BioNemo
Medical AI - Google Med Palm 2
Medical Imaging
Protein Folding - Google Alpha Fold 3, Google Alpha Proteo
RNA 3D structures - NuFold
Surgery - MIRA surgical robotic platform
## Drug Discovery
AI Models
ChatGPT Rosalind
Anthropic Claude Science
Google Coscientist
Microsoft Quine
IBM MAMMAL
- AI has accelerated drug discovery by rapidly screening millions of compounds and predicting their therapeutic potential, leading to the identification of over a million potential antibiotics.
## Genomics
DNA, RNA, Proteins
DNA Sequencing - PacBio DNA sequence machine
Metagraph - MetaGraph compresses and indexes these gargantuan public datasets, allowing researchers to plug in a DNA sequence and instantly track where else it exists in nature
AlphaGenome - 9 billion dna mutations. Designed to solve sequence interpretation. While MetaGraph tells you where a sequence is, AlphaGenome tells you what it does. It is a foundational machine learning model trained to look at a DNA sequence and forecast complex molecular processes—such as how much RNA it will produce, where it will splice, and how proteins will bind to it.
Prime editing is a "search-and-replace" genome-editing technology developed in 2019 by Dr. David Liu's laboratory that allows for targeted insertions, deletions, and all 12 types of base-to-base conversions without creating double-strand DNA breaks.
Evo 2: A monumental genomic foundation model trained on over 9.3 trillion nucleotides across 128,000+ species. It functions at single-nucleotide resolution to read, predict, and generate genetic sequences from scratch, effectively mapping the evolutionary language of DNA and RNA.
RNA
CRISPR, TIGR, and VIPR represent distinct generations and lineages of RNA-guided genetic systems that are reshaping the landscape of biotechnology and genome engineering. While CRISPR remains the gold standard, the discovery of TIGR and VIPR introduces smaller, more flexible, and evolutionary ancient alternatives that bypass some of CRISPR's strict biological limitations.
1. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)
The Baseline: Discovered as an adaptive immune system in bacteria, CRISPR uses a continuous single-guide RNA to match an invader's DNA "mugshot" and cut it.
The Limitations: CRISPR proteins (like Cas9) are very large, making them hard to package into the viral vectors used in gene therapies. Furthermore, they require a specific neighboring DNA motif called a PAM sequence to function, restricting where they can edit.
2. TIGR (Tandem Interspaced Guide RNA)The Next Generation: Discovered by Feng Zhang’s lab at MIT/Broad Institute, TIGR-Tas systems function completely independently of traditional CRISPR pathways.
Why It's Different: Instead of reading one strand of DNA, its tigRNA uses a dual-guide system to latch onto both strands of the double helix simultaneously.
The Advantage: TIGR does not require a PAM sequence, meaning it can theoretically be programmed to target any site across a genome. Because the associated Tas proteins are incredibly compact, engineered variants like TIGRa fit easily inside standard therapeutic delivery vehicles.
3. VIPR (Viral Interference Programmable Repeat)The Ancient Progenitor: Discovered by Jennifer Doudna’s lab at UC Berkeley, VIPR is an ultra-ancient system (potentially 4+ billion years old) found inside viruses. It rewrites the history of CRISPR, suggesting bacteria actually "stole" the foundation of their immune system from viruses.
Why It's Different: VIPR completely breaks the rules of continuous genetic reading. It uses a gapped, noncontiguous code—its guide RNA reads two letters, skips one, and reads the next two. Structurally, it doesn't pry DNA apart; it forms a geometric triplex by snaking entirely around the outside of the helix.
The Advantage: The "skip-one" rule allows it to successfully bind to target viral sequences even if the target mutates its "wobble" positions. It is the smallest RNA-guided system ever discovered, making it an extraordinary candidate for minimal-footprint gene silencing, epigenetic modification, and DNA imaging.
Proteins
AlphaFold3 - 200 million proteins
AlphaProteo - designed to create novel, high-strength protein binders.
IsoDDE - Hailed as an "AlphaFold 4–level" breakthrough, this highly powerful, proprietary diffusion model generates drug molecules with near-perfect binding accuracy. It operates completely closed-source, drastically outperforming legacy physics-based simulation methods by accurately predicting drug-protein binding and antibody interactions without needing experimental crystal structures.
## Materials Science
- Google DeepMind’s GNoME (Graph Networks for Materials Exploration) is a deep learning tool that predicted 2.2 million new crystal structures, expanding humanity's known stable materials by an order of magnitude.
## Autonomous Vehicles
- Companies like Waymo are at the forefront of developing self-driving cars powered by AI.
## Robotics
- AI enables robots to perform complex tasks in factories, homes, and other environments with increasing autonomy.
- Robotics: Figure Helix, Teslabots, Apptroniks, Ameca