By Anthony Aguirre
CLOSE
Who’s Involved?
The following companies have explicitly stated they intend to develop AGI, either through public statements or in response to FLI’s 2024 AI Safety Index survey:
OpenAI
Sam Altman
OpenAI’s original mission was “to ensure that artificial general intelligence benefits all of humanity.” In recent documents, they have altered it to “build artificial general intelligence (AGI) that is safe and benefits all of humanity.
GPT-4.5
Google DeepMind
Demis Hassabis
Aims to build AGI. Hassabis said that “part of the agreement as [DeepMind] were acquired was that we would pursue pushing forward research into general AI, or sometimes called AGI.
Gemini 2.0
Anthropic
Dario Amodei
Amodei dislikes the term AGI. He talks about ‘powerful AI’ coming as early as 2026, although he did not explicitly say that he wants to build it. By ‘powerful AI’ he refers to a system that many people would agree is equivalent to AGI.
Claude 3.7 Sonnet
Meta
Mark Zuckerberg
Aims to build AGI, as reported by CNN: “Our long term vision is to build general intelligence, open source it responsibly, and make it widely available so everyone can benefit.”
Llama 3.3
x.AI
Elon Musk
“The overarching goal of xAI is to build a good AGI [artificial general intelligence] with the overarching purpose of just trying to understand the universe” (source).
Grok 3
Zhipu AI
Zhang Peng
As reported by SCMP, “it is developing Sora-like technology as a pathway to achieving artificial general intelligence (AGI).”
GLM-4.0
Alibaba
Eddie Wu
“We are confident that combining stronger foundation models with reinforcement learning powered by scaled computational resources will propel us closer to achieving AGI” (source)
Qwen 2.5
DeepSeek
Liang Wenfeng
The CEO stated their goal is to “explore the essence of AGI”. On GitHub, they have recently posted: “We hope [our] insights offer value to the community and contribute to our shared AGI goals.”
DeepSeek-R1
CLOSE
Example questions from the GPQA benchmark
Question A:
Astronomers are studying a star with a Teff of approximately 6000 K. They are interested in spectroscopically determining the surface gravity of the star using spectral lines (EW < 100 mA) of two chemical elements, El1 and El2. Given the atmospheric temperature of the star, El1 is mostly in the neutral phase, while El2 is mostly ionized. Which lines are the most sensitive to surface gravity for the astronomers to consider?
A) El2 I (neutral)
B) El1 II (singly ionized)
C) El2 II (singly ionized)
D) El1 I (neutral)
Question B:
A scientist studies the stress response of barley to increased temperatures and finds a protein which contributes to heat tolerance through the stabilisation of cell membrane. The scientist is very happy and wants to create a heat-tolerant cultivar of diploid wheat. Using databases, they find a heat tolerance protein homologue and start analysing its accumulation under heat stress. Soon enough, the scientist discovers this protein is not synthesised in the wheat cultivar they study. There are many possible reasons for such behaviour, including:
A) A miRNA targets the protein, which makes exonucleases cut it immediately after the end of translation and before processing in ER
B) Trimethylation of lysine of H3 histone in position 27 at the promoter of the gene encoding the target protein
C) A stop-codon occurs in the 5’-UTR region of the gene encoding the target protein
D) The proteolysis process disrupts a quaternary structure of the protein, preserving only a tertiary structure
Healthcare
Through personalized medicine or automated drug discovery and development
Precision Oncology
Companies like Tempus Labs are using Tool AI to analyze patient data to identify biomarkers that can guide targeted cancer therapies.
Accelerated Drug Discovery
Companies like Atomwise are using Tool AI to predict how molecules will interact, reducing both time and cost in early-stage drug development.
Enhanced Diagnostic Imaging
AI-powered image analysis tools like those used by Aidoc have improved the accuracy and speed of radiological diagnoses.