
AI Post — Artificial Intelligence
For the first time ever, a generalized, camera-only AI will achieve full self-driving no LiDAR, no radar, just Tesla’s custom AI chip and software. This isn’t assisted driving; it’s autonomy built from the ground up using neural networks that perceive the world like humans but drive far better.
While legacy automakers are stuck in the past with outdated sensors and patches, Tesla’s vision-based Full Self-Driving (FSD) is poised to surpass the entire industry. It’s a complete system, without any crutches or shortcuts. It’s raw intelligence, end-to-end. Elon didn’t just solve a problem; he established a new standard for the road.
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OpenAI has recently introduced two new models, O3 and O4-mini, which are essentially ChatGPT equipped with a toolkit and an enhanced cognitive ability. For the first time, these bots possess the capability to combine various skills, such as web searching, file reading, code writing, image analysis, and even generating artwork from scratch.
Notably, these bots can perform these tasks without requiring any assistance from users. Consequently, your chatbot can now perform tasks like searching Google, solving mathematical equations, reading your homework, and creating peculiar AI art all while you’re still grappling with the concept of time.
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"Will humanity ever do a 10 million GPU pre-training run?". OpenAI CEO, Sam Altman, raises the question: oAI employee: there'll be 10m GPUs working together on an AI system that learns and performs tasks. However, the approach may shift from fully synchronous pre-training to "semi-synchronous" or more decentralized methods.
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"The AI models you use today are the worst you'll ever use" OpenAI CPO, Kevin Weil: The pace of progress has sped up from 6-9 month cycles to new reasoning models every 3-4 months. Moreover, the cost of intelligence has dropped 100x compared to just a few years ago, surpassing even Moore’s Law
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AI Post — Artificial Intelligence
OpenAI is reportedly developing its own social network, potentially integrated with ChatGPT, according to sources. The project is still in early stages, featuring an internal prototype that focuses on image generation and has a social feed.
CEO Sam Altman is seeking external feedback, and the initiative could intensify competition with established platforms like Elon Musk's X (formerly Twitter) and Meta, which are also expanding their social features. This new social network could provide OpenAI with unique real-time data to enhance its AI models. The project reflects OpenAI's broader strategy for growth amid high expectations for its future.
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AI Post — Artificial Intelligence
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AI Post — Artificial Intelligence
DeepMind CEO Demis Hassabis announced that Google plans to combine its Gemini AI models with Veo video-generating models to enhance the AI's understanding of the physical world. He emphasized that Gemini was designed to be multimodal from the start, aiming for a universal digital assistant.
The integration will leverage significant training data, primarily sourced from YouTube videos, to help the AI learn about physics and other real-world concepts. This move aligns with the industry's shift toward "omni" models capable of processing various media types, similar to advancements being pursued by competitors like OpenAI and Amazon.
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AI Post — Artificial Intelligence
Twelve former OpenAI employees just backed Elon’s lawsuit, accusing the company of ditching its non-profit roots for Microsoft cash. They say restructuring “fundamentally violates” the original mission they were hired to believe in.
The lawsuit, revived last August, claims Elon was misled after donating $45M. A judge denied an injunction but agreed the case can move forward this fall. OpenAI insists its nonprofit “isn’t going anywhere”but the former insiders aren’t buying it.
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AI Post — Artificial Intelligence
Nvidia, just days after Trump’s team dropped a tariff bomb on semiconductor imports, has committed to producing its AI supercomputers entirely in the U.S. The company will partner with Foxconn and Wistron to establish massive facilities in Houston and Dallas, with Blackwell chip testing in Arizona.
Over 1 million square feet of space have already been allocated. Nvidia asserts that this will mark the first time AI supercomputers are fully manufactured on American soil. Their ambitious goal is to achieve $500 billion in U.S.-made AI equipment within the next four years.
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MineWorld is a real-time, open-source interactive world model for Minecraft. Built to let AI agents see, act, and simulate how the world changes in response.
- Visual-action autoregressive Transformers
- Parallel decoding to hit 4–7 FPS (yes, it runs in real time)
- New evaluation metrics for action-following accuracy
- Open weights, code, and models, ready to run right from Hugging Face
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AI Post — Artificial Intelligence
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OpenAI CFO Sarah Friar on Stargate's Impact on Jobs, Power, and Geopolitics
Stargate isn’t just about AI, it’s about economic transformation. Friar highlights that scaling AI compute demands skilled trades, power infrastructure, and government coordination. She sees Stargate as a driver for new jobs, climate-focused planning, and a key response to global competition, especially with China’s rise through models like DeepSeek.
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Stargate isn’t just about AI, it’s about economic transformation. Friar highlights that scaling AI compute demands skilled trades, power infrastructure, and government coordination. She sees Stargate as a driver for new jobs, climate-focused planning, and a key response to global competition, especially with China’s rise through models like DeepSeek.
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AI Post — Artificial Intelligence
Quantum AI isn’t science fiction; it’s the code-breaking, problem-solving future of machine intelligence. By merging quantum mechanics with artificial intelligence, researchers are constructing systems that could unlock Artificial General Intelligence (AGI). Unlike classical AI models that traverse data, quantum AI employs entanglement and superposition to process enormous datasets at lightning speed.
Quantum is already merging quantum neural networks with deep learning. The objective is to develop fast, stable, and decision-making machines that don’t merely learn but also anticipate. With milestones such as error-free quantum systems and hybrid computing models, AI’s next leap won’t merely be intelligent; it will be quantum.
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