Grok-4 Heavy, a cutting-edge AI model, has achieved near artificial super intelligence with record-breaking benchmark scores, paving the way for its integration into various devices and potentially transforming society with its advanced capabilities
Questions to inspire discussion
Model Performance
🧠 Q: What is Grok 4 heavy's performance on the GPQA benchmark?
A: Grok 4 heavy achieves 88.9% on the Google proof question and answer benchmark (GPQA), surpassing the 90% threshold for artificial super intelligence (ASI).
🏆 Q: How does Grok 4 perform on standardized tests?
A: Grok 4 scored 100% on both the SAT with brand new questions and the AIM 2025 exam, a 20-question math skills test.
🧪 Q: What is Grok 4's performance on "humanity's last exam"?
A: Grok 4 heavy achieves 44.4% on "humanity's last exam," consisting of the best questions created by the world's smartest scientists.
Model Capabilities
⏱️ Q: How does Grok 4 handle challenging questions?
A: Grok 4 can solve challenging questions that would take a human 1 hour to answer, such as the 2025 H2 prompt, using general knowledge and possibly a web search.
🐷 Q: Can Grok 4 solve trick questions?
A: Grok 4 can solve trick questions impossible for typical LLMs, like counting characters in a pig Latin sentence without integers.
🎯 Q: How does Grok 4 handle misguided attention questions?
A: Grok 4 can solve misguided attention questions designed to trip up LLMs by skipping crucial decision-making information.
🌍 Q: What types of optimization tasks can Grok 4 handle?
A: Grok 4 can tackle ASI prompts to optimize the world, such as helping humanity across all fields and increasing life satisfaction.
Model Architecture
🖥️ Q: How is Grok 4 heavy configured?
A: Grok 4 heavy uses 4 agents running in parallel for 30 minutes each to solve complex problems.
💾 Q: What is the scale of Grok 4's training data?
A: Grok 4 was trained on 80 trillion tokens of text data, 7 times larger than GPT4's dataset, and 300 billion tokens of RL traces.
⚡ Q: What hardware does Grok 4 heavy use?
A: Grok 4 heavy runs on multiple H100s with significant cache, compute, space, and electricity to support its massive state-of-the-art capabilities.
Proposed Optimizations
🔬 Q: What healthcare optimizations does Grok 4 propose?
A: Grok 4 suggests proactive healthcare through symbiotic bioenhancers that monitor and repair bodies in real-time.
🌱 Q: How does Grok 4 propose to improve ecosystems?
A: Grok 4 recommends healing self-healing ecosystems with nano swarm restorers.
🍽️ Q: What daily life optimizations does Grok 4 suggest?
A: Grok 4 proposes optimal meals from air and light, restorative sleep in 4 hours with guided positive dreams, and immersive reality gardens for leisure.
Model Comparisons and Context
📊 Q: How does Grok 4 compare to GPT4 on the SAT?
A: Grok 4 outperformed GPT4, scoring 100% compared to GPT4's 94% on new SAT exams in 2022.
👨💼 Q: Who is leading the Grok 4 project?
A: Aigor Babushkin, formerly from DeepMind and OpenAI, leads the Grok 4 project, bringing experience from Gopher, Massive Text, Alphaar, and Alpha Code.
🔍 Q: How does Grok 4 compare to other AI models?
A: Grok 4 is considered a potential proto-ASI or full ASI model, with scores off the top of Dr. Alan Thompson's ASI checklist.
🛠️ Q: What tools can Grok 4 utilize?
A: Grok 4 can use tools like web search, industry-specific platforms, engineering tools, and databases, but is not yet an agent that can make changes independently.
Key Insights
Performance and Capabilities
🏆 Grok 4 heavy, a 4-agent agentic platform, outperforms current state-of-the-art models with 88.9% on Google proof Q&A benchmark and 44.4% on humanity's last exam.
🧠 The model boasts 5 trillion parameters trained on 80 trillion tokens, making it a proto-ASI (Artificial Super Intelligence) with an estimated IQ of 195.
⏱️ Grok 4 heavy achieves 50% on text-only HLE in just 2 minutes and 4 seconds, surpassing Gemini 2.5 Pro by 29.4%.
Technical Architecture
🔄 Grok 4 heavy's unique feature is its 4 agents running asynchronously in parallel for 30 minutes before selecting the best response.
💻 The model requires massive compute, utilizing multiple H100 GPUs to run four instances simultaneously.
🛠️ While primarily a standalone model, Grok 4 can integrate with tools like Wolf from Alpha and graphic calculators.
Cost and Accessibility
💰 Grok 4 heavy is significantly expensive, costing $3,000 per year, yet competitive compared to Devon AI at $6,000 annually.
🔒 The model is currently a bubble LLM blackbox, not yet an agent capable of making external changes.
Future Developments
🚀 Ilia's super intelligence and Meta AI's new super intelligence lab are expected to release advancements in the coming years.
Comparison to Other Models
📊 Grok 4 is part of the highest-performing group alongside Google and DeepMind's models, including the upcoming Gemini Pro 3.
Benchmarks and Assessments
📈 Grok 4's GPQA score of 88.9 is described as "off the top of the screen" on the GPQA assessment.
Training and Capabilities
🔬 The model incorporates RL (Reinforcement Learning) during training, enhancing its performance and adaptability.
Practical Applications
💬 Grok 4 can be used in chat GPT without tools but also has the potential for more complex applications with appropriate integrations.
#SyntheticMinds
XMentions: @HabitatsDigital @dralandthompson
Clips
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00:00 🤖 Grok-4 Heavy, a leading AI model, achieves near artificial super intelligence with 90% benchmark scores, outperforming GPT-4 and paving way for integration into devices like Tesla robots and Neuralink.
- Grok 3, a model by XAI, demonstrates advanced capabilities by generating a Python script for a bouncing yellow ball within a rotating square and tesseract, with Grok 4 and 5 expected to further outperform frontier models.
- Grok-4 Heavy is a leading frontier AI model that will be integrated into various devices, including Tesla Optimus robots and Neuralink devices, and offers super intelligence unfolding at a rapid pace.
- Grok-4 Heavy, an agentic platform with 4 agents that can outperform current state-of-the-art models, has been released, but its large size and compute requirements make it expensive, priced at $3,000/year.
- Grok-4 is achieving around 90% on the Google Proof Question and Answer benchmark, comparable to estimated scores for GPT-4, and significantly higher than GPT-4.0's 46%.
- Grok-4 Heavy's scores of 88.9% on GPQA and 44.4% on HLE indicate it nearly meets the criteria for artificial super intelligence, with breaching 50% on HLE being a potential game-over point.
- Grok-4 Heavy runs four agents in parallel, asynchronously and at different speeds, allowing it to explore latent space and choose the best response, a unique approach not seen in other models.
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12:20 🤖 The speaker tests Grok-4 Heavy, a proto-Artificial Superintelligence (ASI) model, with challenging prompts, achieving mixed results and showcasing its potential to solve real-world problems despite some disappointing scores.
- The speaker tested Grok-4 Heavy on two prompts, 2025H1 and 2025H2, achieving disappointing scores of 2/5 and finding the latter extremely challenging.
- A human with general knowledge and some time can answer the questions, but they are very difficult or impossible for a large language model to find in its dataset or on the internet.
- The AI model, Grok-4 Heavy, was tested and scored poorly, with mostly zeros out of five, on a series of questions despite demonstrating impressive reasoning and processing time.
- The speaker tests Grok-4 Heavy, a model with 5 trillion parameters, by asking challenging questions with web search turned off, showcasing its ability to think and respond using only its latent space.
- The speaker tests Grok-4 Heavy by asking it to assess top 10 risks for big four auditing consultancy businesses in Australia, simulating a rigorous CRO scenario.
- Grok-4 Heavy, a proto-ASI, is being tested with various prompts, including solving real-world problems in medicine and risk management, demonstrating its potential as an Artificial Superintelligence (ASI) that can solve new problems.
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20:50 🤖 Grok-4 Heavy, a proto-Artificial Super Intelligence, achieves record scores and proposes transformative optimizations for humanity, including free energy, proactive healthcare, and AI-mediated global harmony.
- The speaker is searching for a previous prompt to test how to effectively ask a proto-Artificial Super Intelligence (ASI) to optimize the world without influencing its response with leading questions or keywords.
- Develop a Proto-ASI, Grok-4 Heavy, that adheres to Asimov's laws, aligns with cross-cultural frameworks, and helps humanity increase life satisfaction through innovative inventions.
- The speaker is testing Grok-4 Heavy with a large ASI prompt, despite past disappointing experiences with XAI and its representatives, including a previous incident with a member who used a racist slur.
- Grok-4 Heavy scores 44.4 on the full HLE and 50 on the text-only version, nearly doubling the previous state-of-the-art scores.
- Grok-4 Heavy, a proto-artificial super intelligence, proposes transformative optimizations including universal free energy, proactive healthcare via bioenhancers, self-healing ecosystems, and AI-mediated global harmony networks.
- A hypothetical Proto-ASI system, Grok-4 Heavy, is envisioned to optimize daily life by achieving milestones such as optimal nutrition in 3 months, AI-optimized 4-hour sleep, and microtask work via AI companions within 2 years.
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32:20 🤖 Grok-4 Heavy achieves record-breaking performance on SAT, AIME, and GPQA benchmarks, outperforming humans and previous state-of-the-art models with massive 300,000 Nvidia H100 equivalents training.
- Grok-4 Heavy achieved 100% on SAT and AIME 25 benchmarks, including the latter which was published in February 2025, likely not in its training data.
- Grok-4 Heavy achieves 88.9% on the GPQA benchmark, outperforming experts with PhDs (34%) and domain experts (65%), and far exceeding human average (0%) and random guessing (25%).
- Grock 4 outperformed humans by 4-5x and previous state-of-the-art models, including Claude Opus, in a realistic vending machine business benchmark.
- Grok-4 uses 300,000 Nvidia H100 equivalents for training, with estimates of 5 trillion parameters trained on 80 trillion tokens, and possibly 300 billion tokens of RL traces, significantly larger than Grok-3.
- The speaker mentions the upcoming Grok-4 model, invites questions, and reflects on the value of watching a live stream where developers shared insights on training and capabilities of large language models.
- The speaker tests Grok-4's understanding of fractions, finding it can convert between eighth, quarter, half, and other fractions, but sometimes older models would incorrectly insert a 3/8 value.
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41:27 🤖 XAI's Grok-4 Heavy, led by Aigor Babushkin, aims to achieve human-like abilities and adaptive learning, potentially leading to Proto-ASI and changing societal structures.
- The technical chief scientist at XAI, Aigor Babushkin, has a background working on influential AI projects, including Gopher and GPT4, and brings experience from DeepMind and OpenAI to the company.
- The leader of XAI, working with OpenAI, has developed Grok-4 Heavy, with similarities in design and interface to OpenAI's ChatGPT, and discusses AGI and ASI definitions, requiring adaptive learning and real-world access for AGI.
- The 1X Neo demonstrated autonomous updates in a home setting, utilizing end-to-end thinking and a vision model, similar to a large language model, to perform tasks without scripting or programming.
- Grok-4 may not significantly advance cognitive AI, but it could help achieve human-like abilities, such as learning and assembling IKEA furniture, especially when integrated with the Tesla Optimus robot.
- The speaker recommends watching the TV series "Lita AI" (available at lifearchitect.ai/ita) and shares personal preferences for movies like "Ready Player One" and "Arrival" that feature AI.
- Humanity will have to adapt to a life where labor isn't traded for credits, a concept difficult to grasp given our current societal structures.
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48:44 🤖 The speaker discusses the potential for a single entity to dominate all industries with advanced AI, highlighting the impressive capabilities of Grok-4 Heavy and the limitations of current benchmarks.
- The speaker praises a recent movie based on a 21st-century idea about AI, written by Spike Jones, and compares it to other media, before addressing a question about Google's AI model.
- A future with a single, all-encompassing company or "one group" is possible, where a single entity, like Alphabet, could dominate all industries and sectors, leveraging advanced AI to optimize and control various aspects of life.
- ASI will likely enable a single entity to dominate all industries with extreme optimizations, making it probable that a leading AI model, such as Google's Gemini Pro, will be at the forefront.
- Grok-4's IQ is likely in the 99.99-99.999999 percentile, scoring 100% on standard IQ tests, rendering them ineffective benchmarks.
- Grok-4 Heavy's GPQA score of 88.9 exceeds estimated IQ of 162, hitting the ceiling of current benchmarks, and may require alternative assessments like the HLE test.
- The speaker doubts anyone can predict if AI will solve aging within a decade, citing the unpredictability of advancements and their personal lack of interest in the topic.
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57:10 🤖 Artificial Super Intelligence (ASI) may be close with models like Grok 5 or Claude 5, potentially bringing immense acceleration of innovation and change.
- Deep Mind's alpha systems, such as AlphaFold, Alpha Pro, and Alpha Genome, are advancing narrow artificial super intelligence, particularly in medicine.
- The speaker is live streaming from South Australia at 4:30 p.m. local time, acknowledging different time zones and apologizing for not showing the Adelaide view due to bad weather.
- Achieving Artificial Super Intelligence (ASI) may be close, potentially with models like Grok 5 or Claude 5, requiring 50% Human-Level Expertise (HLE) and 90% performance on General Purpose Question Answering (GPQA).
- Experts predict AGI will arrive first, followed by ASI 20 years later, but some early checklist items, such as autonomous reviews with superhuman performance and novel materials created by AI, are already being developed.
- Microsoft revealed a previously unknown immersion coolant created by their engineers and a proto-ASI system, allowing a computer to run submerged.
- Technological singularity could bring 10,000+ years of progress in an instant, allowing for immense acceleration of innovation and change.
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01:04:58 🤖 Grok-4 Heavy, a state-of-the-art AI model, is released with massive compute capabilities and potential for super intelligence, enabling cooperation with millions of AIs and near-perfect IQ.
- Grok-4 is a significant and expensive state-of-the-art model, one of the big five, with others including Ilia's and Meta AI's upcoming super intelligence models.
- A model can be given access to various tools, such as web search, industry-specific platforms, engineering tools, and databases, allowing it to interact with the real world without being considered an agent.
- Grok-4's capabilities significantly improve with tool usage, such as accessing external resources like a graphing calculator or running Alpha queries, and potentially millions of AIs cooperating with each other will soon be possible.
- Grok-4 Heavy is the first model where its massive state-of-the-art architecture, compute capabilities, and power infrastructure are entirely visible, utilizing significant resources including four H100 instances and substantial electricity generation.
- The speaker discusses updates on AI models, mentioning the release of Grok-4 Heavy, and invites viewers to join their memo service for updates on developments in the field.
- Super intelligence is unfolding at a lightning pace, with AI models being embodied into humanoids, increasing IQ to near perfection, and expanding use cases globally.
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Duration: 1:13:40
Publication Date: 2025-07-12T23:12:29Z
WatchUrl:https://www.youtube.com/watch?v=uZREo9h0coI
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