All about AI, Web 3.0, BCI
07.02.202515:41
Prime intellect introduced SYNTHETIC-1: Collaboratively generating the largest synthetic dataset of verified reasoning traces for math, coding and science using DeepSeek-R1.
SYNTHETIC-1:
- 1.4 million high-quality tasks & verifiers
- Public synthetic data run - allowing anyone to contribute compute
- GENESYS: open, extendable synthetic data generation framework + call for crowdsourcing tasks & verifiers.
SYNTHETIC-1:
- 1.4 million high-quality tasks & verifiers
- Public synthetic data run - allowing anyone to contribute compute
- GENESYS: open, extendable synthetic data generation framework + call for crowdsourcing tasks & verifiers.
06.02.202516:35
Agentic Object Detection
Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, use an agentic workflow to reason at length and detect the specified objects.
No need to label any training data.
Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, use an agentic workflow to reason at length and detect the specified objects.
No need to label any training data.
05.02.202519:43
ChatGPT search is now available to everyone on chatgpt.com — no sign up required.
03.12.202412:01
Sakana AI introduced CycleQD: A population-based model merging via Quality Diversity
CycleQD builds on our model merging research, advancing two fronts: evolving a swarm of specialized agents to complement one another, and laying the groundwork for life-long learning by enabling diverse, adaptable skill acquisition at the population-level.
CycleQD builds on our model merging research, advancing two fronts: evolving a swarm of specialized agents to complement one another, and laying the groundwork for life-long learning by enabling diverse, adaptable skill acquisition at the population-level.
02.12.202416:46
World Labs has unveiled an AI system that transforms regular images into fully explorable 3D worlds right in your browser
No complex software needed – just upload an image and step into a three-dimensional universe.
What the system can do:
• Analyzes 2D images and creates realistic 3D geometry
• Fills in unseen parts of the scene
• Lets you freely move around like in a video game
• Supports camera effects (depth of field, dolly zoom)
• Maintains the original artistic style
Perfect for:
• Game designers and developers
• Artists and animators
• Filmmakers
• Architects and designers
• Anyone who wants to bring their ideas to life in 3D
This technology will be available to users soon. Stay tuned – the future of 3D generation is here.
No complex software needed – just upload an image and step into a three-dimensional universe.
What the system can do:
• Analyzes 2D images and creates realistic 3D geometry
• Fills in unseen parts of the scene
• Lets you freely move around like in a video game
• Supports camera effects (depth of field, dolly zoom)
• Maintains the original artistic style
Perfect for:
• Game designers and developers
• Artists and animators
• Filmmakers
• Architects and designers
• Anyone who wants to bring their ideas to life in 3D
This technology will be available to users soon. Stay tuned – the future of 3D generation is here.
02.12.202409:40
Tesla unveiled an upgraded hand system for its Optimus humanoid robot, featuring 22 total degrees of freedom
The robot teleoperated by a human, can now catch a ball, with tactile sensing and fine tendon control improvements coming by the end of the year.
The robot teleoperated by a human, can now catch a ball, with tactile sensing and fine tendon control improvements coming by the end of the year.
07.02.202513:19
Apple's AI researchers introduced EMOTION, a framework for expressive humanoid gestures.
1. LLMs interpret social context and generate motions from human demos
2. Robots execute motions via inverse kinematics
3. Gestures are refined through human feedback
Hardware: Fourier GR-1
1. LLMs interpret social context and generate motions from human demos
2. Robots execute motions via inverse kinematics
3. Gestures are refined through human feedback
Hardware: Fourier GR-1
06.02.202515:27
Trump family company TMTG announced plans to launch Made in America ETF, U.S. Energy Independence ETF and Bitcoin Plus ETF (SMA).
The plan aims to provide investors with investment channels in the U.S. energy, manufacturing and Bitcoin sectors.
The plan aims to provide investors with investment channels in the U.S. energy, manufacturing and Bitcoin sectors.
05.02.202516:03
ARK Invest has released their highly anticipated "Big Ideas 2025" report, outlining a future where technological convergence drives unprecedented economic growth and innovation.
Here's what you need to know:
The report identifies five key innovation platforms that are evolving and converging:
- AI
- Robotics
- Energy Storage
- Public Blockchains
- Multiomics Sequencing
Economic Impact
ARK projects global GDP growth could reach 7.3% by 2030, significantly higher than the IMF's forecast of 3.1%. Disruptive innovation companies could command more than two-thirds of global equity markets, with market value expanding beyond the current tech giants.
Key Technology Trends
1. AI Agents
- OpenAI projected to surpass $10B in revenue by 2025
- AI-mediated advertising could capture 54% of the $1.1T digital ad market by 2030
- AI agents revolutionizing consumer interaction and business workflows
2. Bitcoin & Digital Assets
- Bitcoin reached new all-time highs in 2024
- Spot Bitcoin ETFs marked the most successful ETF launch in history
- 2030 price targets: $300,000 (bear case) to $1.5M (bull case)
- Stablecoins overtook Mastercard and Visa in transaction value
3. Autonomous Vehicles
- Robotaxis could reduce transport costs to $0.25 per mile
- Market potential of $34T by 2030
- Tesla and Waymo leading commercial deployment
4. Energy & Infrastructure
- AI computing driving unprecedented energy demand
- Nuclear energy gaining renewed attention
- Battery costs continuing to decline
- Renewable energy integration accelerating
5. Robotics & Manufacturing
- Humanoid robots entering commercial use
- $26T+ global revenue opportunity
- 3D printing market growing 40% annually
- Manufacturing becoming increasingly automated
6. Healthcare Innovation
- AI dramatically reducing drug development costs
- DNA sequencing costs falling faster than Moore's Law
- Precision medicine becoming mainstream
- Multi-cancer screening revolutionizing diagnostics
Here's what you need to know:
The report identifies five key innovation platforms that are evolving and converging:
- AI
- Robotics
- Energy Storage
- Public Blockchains
- Multiomics Sequencing
Economic Impact
ARK projects global GDP growth could reach 7.3% by 2030, significantly higher than the IMF's forecast of 3.1%. Disruptive innovation companies could command more than two-thirds of global equity markets, with market value expanding beyond the current tech giants.
Key Technology Trends
1. AI Agents
- OpenAI projected to surpass $10B in revenue by 2025
- AI-mediated advertising could capture 54% of the $1.1T digital ad market by 2030
- AI agents revolutionizing consumer interaction and business workflows
2. Bitcoin & Digital Assets
- Bitcoin reached new all-time highs in 2024
- Spot Bitcoin ETFs marked the most successful ETF launch in history
- 2030 price targets: $300,000 (bear case) to $1.5M (bull case)
- Stablecoins overtook Mastercard and Visa in transaction value
3. Autonomous Vehicles
- Robotaxis could reduce transport costs to $0.25 per mile
- Market potential of $34T by 2030
- Tesla and Waymo leading commercial deployment
4. Energy & Infrastructure
- AI computing driving unprecedented energy demand
- Nuclear energy gaining renewed attention
- Battery costs continuing to decline
- Renewable energy integration accelerating
5. Robotics & Manufacturing
- Humanoid robots entering commercial use
- $26T+ global revenue opportunity
- 3D printing market growing 40% annually
- Manufacturing becoming increasingly automated
6. Healthcare Innovation
- AI dramatically reducing drug development costs
- DNA sequencing costs falling faster than Moore's Law
- Precision medicine becoming mainstream
- Multi-cancer screening revolutionizing diagnostics
03.12.202409:15
SpaceX is now likely to be valued about $350B in a new tender offer, $100B MORE than what was discussed last month and would make it the most valuable startup in the world, surpassing Bytedance.
02.12.202415:34
Reverse Thinking Makes LLMs Stronger Reasoners
Shows that training LLMs to learn "reverse thinking" helps to improve performance in commonsense, math, and logical reasoning tasks.
It claims to outperform a standard fine-tuning method trained on 10x more forward reasoning.
Shows that training LLMs to learn "reverse thinking" helps to improve performance in commonsense, math, and logical reasoning tasks.
It claims to outperform a standard fine-tuning method trained on 10x more forward reasoning.
30.11.202413:03
PrimeIntellect released INTELLECT-1: open-sourcing the first decentralized trained 10B model
INTELLECT-1 base model & intermediate checkpoints
- Pre-training dataset
- Post-trained instruct models by Arcee ai
- PRIME training framework
- Technical paper with all details.
Decentralized training is one of the most important things to track from an AI policy POV - most efforts to control compute rest on the assumption that strategic AI compute needs to be centralized.
HuggingFace.
Pre-training Dataset.
Post-training datasets by Arcee ai: 1 , 2.
Try out Intellect-1 on.
INTELLECT-1 base model & intermediate checkpoints
- Pre-training dataset
- Post-trained instruct models by Arcee ai
- PRIME training framework
- Technical paper with all details.
Decentralized training is one of the most important things to track from an AI policy POV - most efforts to control compute rest on the assumption that strategic AI compute needs to be centralized.
HuggingFace.
Pre-training Dataset.
Post-training datasets by Arcee ai: 1 , 2.
Try out Intellect-1 on.
07.02.202509:37
Google's AI just solved 84% of the International Math Olympiad (IMO) problems from 2000-24 with Alpha Geometry 2.
These are math problems most professors couldn't solve.
These are math problems most professors couldn't solve.
06.02.202512:06
State of AI: China - Key Insights from Q1 2025
While the US maintains an overall lead in the intelligence frontier, China is no longer far behind. Few other countries have demonstrated frontier-class training.
1. Closing the AI Gap
- Chinese AI models have rapidly caught up to US capabilities
- DeepSeek R1 achieved 89 on Intelligence Index, approaching OpenAI's o3 (94)
- Multiple Chinese models now match frontier US model performance
2. Leading Players & Performance
Top Chinese Models:
- DeepSeek R1: 89
- Qwen 2.5 Max (Alibaba): 79
- DeepSeek V3: 80
Market Leaders:
- Big Tech: Alibaba, Baidu, ByteDance, Tencent
- Rising Stars: DeepSeek, MoonShot AI, Zhipu
3. Export Control Impact
- US restrictions on high-end AI chips continue
- NVIDIA H100 (989 TFLOPs) banned for export
- China-approved NVIDIA H20 limited to 148 TFLOPs
- New restrictions expected in May 2025
4. Investment & Scale
Major Funding:
- MoonShot AI: $1.67B
- Zhipu: $1.12B
- Baichuan: $1.04B
5. Emerging Trends
- Focus on reasoning capabilities
- Open-source model development
- Multiple companies releasing frontier-level models
- Strong emphasis on domestic technology development
While the US maintains an overall lead in the intelligence frontier, China is no longer far behind. Few other countries have demonstrated frontier-class training.
1. Closing the AI Gap
- Chinese AI models have rapidly caught up to US capabilities
- DeepSeek R1 achieved 89 on Intelligence Index, approaching OpenAI's o3 (94)
- Multiple Chinese models now match frontier US model performance
2. Leading Players & Performance
Top Chinese Models:
- DeepSeek R1: 89
- Qwen 2.5 Max (Alibaba): 79
- DeepSeek V3: 80
Market Leaders:
- Big Tech: Alibaba, Baidu, ByteDance, Tencent
- Rising Stars: DeepSeek, MoonShot AI, Zhipu
3. Export Control Impact
- US restrictions on high-end AI chips continue
- NVIDIA H100 (989 TFLOPs) banned for export
- China-approved NVIDIA H20 limited to 148 TFLOPs
- New restrictions expected in May 2025
4. Investment & Scale
Major Funding:
- MoonShot AI: $1.67B
- Zhipu: $1.12B
- Baichuan: $1.04B
5. Emerging Trends
- Focus on reasoning capabilities
- Open-source model development
- Multiple companies releasing frontier-level models
- Strong emphasis on domestic technology development
02.12.202420:17
ARIA Research has launched a funding program that aims to revolutionize our understanding of neurological disorders through innovative brain computer interface research.
Key highlights:
The program offers funding up to £500k per proposal, targeting high-potential ideas within the Scalable Neural Interfaces space.
ARIA is seeking groundbreaking approaches that could transform how we interact with and understand the human brain at scale.
What they're looking for:
- Bold, innovative ideas that challenge current assumptions about brain interfaces.
- Research ranging from early-stage exploration to pre-commercial science.
- Projects that could fundamentally change our understanding of what's possible in neurotechnology.
Not included:
- Projects within the Precision Neurotechnologies programme scope
- Conventional ideas that could progress without ARIA support
- Commercial or near-commercial products
ARIA's focus on scalable solutions could lead to breakthrough discoveries in treating neurological disorders.
Key highlights:
The program offers funding up to £500k per proposal, targeting high-potential ideas within the Scalable Neural Interfaces space.
ARIA is seeking groundbreaking approaches that could transform how we interact with and understand the human brain at scale.
What they're looking for:
- Bold, innovative ideas that challenge current assumptions about brain interfaces.
- Research ranging from early-stage exploration to pre-commercial science.
- Projects that could fundamentally change our understanding of what's possible in neurotechnology.
Not included:
- Projects within the Precision Neurotechnologies programme scope
- Conventional ideas that could progress without ARIA support
- Commercial or near-commercial products
ARIA's focus on scalable solutions could lead to breakthrough discoveries in treating neurological disorders.
02.12.202413:54
⚡️Intel announced retirement of CEO Pat Gelsinger
David Zinsner and Michelle Johnston Holthaus named interim Co-CEOs.
Holthaus also appointed to the newly created position of CEO of Intel Products. Frank Yeary named interim executive chair.
David Zinsner and Michelle Johnston Holthaus named interim Co-CEOs.
Holthaus also appointed to the newly created position of CEO of Intel Products. Frank Yeary named interim executive chair.
21.06.202414:15
How can you tell if a transformer has the right world model?
Researchers trained a transformer to predict directions for NYC taxi rides. The model was good. It could find shortest paths between new points
But had it built a map of NYC? Researchers reconstructed its map and found this: the map let them visually inspect the incoherent world model. But how should evaluate world models in non-map settings?
This paper proposes new evaluation metrics for world model recovery.
Code.
Researchers trained a transformer to predict directions for NYC taxi rides. The model was good. It could find shortest paths between new points
But had it built a map of NYC? Researchers reconstructed its map and found this: the map let them visually inspect the incoherent world model. But how should evaluate world models in non-map settings?
This paper proposes new evaluation metrics for world model recovery.
Code.
06.02.202517:59
GitHub infused the power of agentic AI into the GitHub Copilot
With agent mode in VS Code, Copilot goes beyond your initial request, completing all necessary subtasks and even inferring unspecified tasks.
Agent mode allows Copilot to iterate on its own code, propose and guide terminal commands, and analyze and resolve run-time errors. Available today for VS Code Insiders.
GitHub Copilot Edits is now GA multi-file editing tool that combines the best of inline edits and chat, allowing you to make changes across multiple files by prompting in natural language. And chose the model you prefer, from OpenAI’s GPT-4o, o1, or o3-mini, Anthropic’s Claude 3.5 Sonnet, and now, Gemini 2.0 Flash.
With agent mode in VS Code, Copilot goes beyond your initial request, completing all necessary subtasks and even inferring unspecified tasks.
Agent mode allows Copilot to iterate on its own code, propose and guide terminal commands, and analyze and resolve run-time errors. Available today for VS Code Insiders.
GitHub Copilot Edits is now GA multi-file editing tool that combines the best of inline edits and chat, allowing you to make changes across multiple files by prompting in natural language. And chose the model you prefer, from OpenAI’s GPT-4o, o1, or o3-mini, Anthropic’s Claude 3.5 Sonnet, and now, Gemini 2.0 Flash.
06.02.202507:16
HuggingFace released the new Spaces search and it's totally mind blowing
Explore over 400k AI Apps in the most intuitive way, background removal, image-to-3D, comic factory, sound transcription, image editing, clothes virtual try-on, etc.
All made by AI builders for AI builders.
Explore over 400k AI Apps in the most intuitive way, background removal, image-to-3D, comic factory, sound transcription, image editing, clothes virtual try-on, etc.
All made by AI builders for AI builders.
03.12.202415:59
Future House in collaboration with E11 Bio announced a new way to map brain circuits at scale.
The key ingredients are simple (but putting them together has been hard):
1. Electron microscopy, which is standard for connectomics today, is too slow.
2. Standard optical microscopes don't have enough resolution to map brain circuits.
3. Researchers use pan-stains to label membranes and synaptic stains to label synapses.
4. Finally, and crucially: mapping neurons with nanometer resolution across centimeters of axon length, without many any errors, is supremely difficult. Researchers use optical protein barcodes, like brainbow, and multiplexed antibody staining to get the neurons to trace themselves.
The key ingredients are simple (but putting them together has been hard):
1. Electron microscopy, which is standard for connectomics today, is too slow.
2. Standard optical microscopes don't have enough resolution to map brain circuits.
3. Researchers use pan-stains to label membranes and synaptic stains to label synapses.
4. Finally, and crucially: mapping neurons with nanometer resolution across centimeters of axon length, without many any errors, is supremely difficult. Researchers use optical protein barcodes, like brainbow, and multiplexed antibody staining to get the neurons to trace themselves.
02.12.202418:30
Anthropic announced Fellows Program
This is an exceptional opportunity to join AI safety research, collaborating with leading researchers on one of the world's most pressing problems.
This is an exceptional opportunity to join AI safety research, collaborating with leading researchers on one of the world's most pressing problems.
02.12.202410:47
BCG has released its insightful AI Maturity Matrix report.
Key findings :
1. The report categorizes economies into three groups: AI Emergents, AI Practitioners & Contenders, and AI Pioneers.
2. AI Emergents are economies in the early stages of AI adoption, requiring strategies to build competitiveness.
3. AI Practitioners & Contenders are economies with gradual or exposed AI adoption, including countries from East Asia, Eastern Europe, and South America.
4. AI Pioneers are the top 5 economies (out of 73) that excel in AI integration, R&D, infrastructure, and talent.
5. The report notes a substantial gap in AI preparedness, with over 70% of nations scoring below the halfway mark in areas like skills, research, and ecosystem development.
6. Global AI expenditure is expected to double, reaching $632 billion by 2028, reflecting technology's central role in future economic strategies.
7. The AI Maturity Index is measured by two indices: AI exposure and AI readiness, evaluated across six dimensions (ASPIRE framework).
8. Economies like Luxembourg and Singapore lead in AI readiness due to their reliance on financial and business services.
9. Developing economies like India can benefit from AI applications in 'agritech' and industrial optimization.
10. The report concludes with recommendations for each economy archetype, urging pioneers to drive global standards, contenders to expand AI applications, and emergents to build foundational infrastructure.
Key findings :
1. The report categorizes economies into three groups: AI Emergents, AI Practitioners & Contenders, and AI Pioneers.
2. AI Emergents are economies in the early stages of AI adoption, requiring strategies to build competitiveness.
3. AI Practitioners & Contenders are economies with gradual or exposed AI adoption, including countries from East Asia, Eastern Europe, and South America.
4. AI Pioneers are the top 5 economies (out of 73) that excel in AI integration, R&D, infrastructure, and talent.
5. The report notes a substantial gap in AI preparedness, with over 70% of nations scoring below the halfway mark in areas like skills, research, and ecosystem development.
6. Global AI expenditure is expected to double, reaching $632 billion by 2028, reflecting technology's central role in future economic strategies.
7. The AI Maturity Index is measured by two indices: AI exposure and AI readiness, evaluated across six dimensions (ASPIRE framework).
8. Economies like Luxembourg and Singapore lead in AI readiness due to their reliance on financial and business services.
9. Developing economies like India can benefit from AI applications in 'agritech' and industrial optimization.
10. The report concludes with recommendations for each economy archetype, urging pioneers to drive global standards, contenders to expand AI applications, and emergents to build foundational infrastructure.
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21.06.202411:04
Anthropic introduced Claude 3.5 Sonnet—their most intelligent model yet
Sonnet now outperforms competitor models on key evaluations, at twice the speed of Claude 3 Opus and one-fifth the cost.
You can ask Claude to generate docs, code, mermaid diagrams, vector graphics, or even simple games.
Sonnet has:
— 2x the speed of Opus
— 1/5th the cost of Opus
— 200k token context window
— Better quality than Opus and GPT-4o.
Sonnet now outperforms competitor models on key evaluations, at twice the speed of Claude 3 Opus and one-fifth the cost.
You can ask Claude to generate docs, code, mermaid diagrams, vector graphics, or even simple games.
Sonnet has:
— 2x the speed of Opus
— 1/5th the cost of Opus
— 200k token context window
— Better quality than Opus and GPT-4o.
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