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Deepmind creates AlphaGeometry: an AI system that solves Olympiad geometry problems at a level approaching a human gold-medalist

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Deepmind creates AlphaGeometry: an AI system that solves Olympiad geometry problems at a level approaching a human gold-medalist- Grapevine

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The researchers have created a computer program called AlphaGeometry that can solve really hard math problems, specifically those related to geometry, without needing any help from humans. Traditional methods involve teaching machines using human-made proofs, but it's expensive and especially challenging for geometry problems.

AlphaGeometry does things differently. It makes its own theorems (math statements) and proofs (reasoning for why the theorems are true) without human input. It's like a computer brain that generates and solves geometry problems on its own.

When tested on a set of difficult math problems similar to those in international math competitions (like the Olympiad), AlphaGeometry outperformed other methods. It solved 25 out of 30 problems, doing better than the previous best method that only solved 10. In fact, it even performed close to the level of a really good human math competitor who wins a gold medal at the International Mathematical Olympiad.

What's cool is that AlphaGeometry doesn't just spit out answers. It explains its reasoning in a way that humans can understand. It also tackled and solved problems from past math competitions and even discovered a new version of a problem from a competition in 2004.

Solving olympiad geometry without human demonstrations

[Easy Explanation]Solving olympiad geometry without human demonstrations

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OpenAI's new model can score Gold on International Olympiad for Informatics, the most difficult programming competition in the world.

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- OpenAI researchers believe they are close to developing AI capable of human-level reasoning, according to Bloomberg and Reuters.
- The company has defined five levels of artificial general intelligence (AGI), with current systems at level 1 and nearing level 2.
- A project named 'Strawberry' aims to create AI that can reason, plan, and perform deep research independently.
- Rumors of a breakthrough circulated before the failed attempt to oust CEO Sam Altman in November 2023.
- Despite advancements, human-level reasoning in AI remains a future goal, with debates ongoing about the feasibility of achieving AGI through current large language models. 

 Source: Axios

OpenAI Nears Human-Level AI Reasoning, Reports Say

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- What's your codeforces rank? 
- Why do / don't you do competitive programming? 
- What's your take on the impact AI models like AlphaGo will have on the sport?

Let's talk about competitive programming

Google's Al solves most difficult maths problem of IMO 2024.

Use the best talent for free for their own purpose,

Not sure how many generations will take a hit due to fb/insta mental menace

This is why I don't like zucks products, the hidden agenda is 😓

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Mindgeek will do this before OpenAi

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DeepMind's paper "Playing Atari with Deep Reinforcement Learning" (2013) marked a milestone in AI by demonstrating how deep Q-learning could learn to play Atari games directly from pixels. This breakthrough highlighted the potential of deep RL in complex decision-making tasks and laid the foundation for subsequent advancements in reinforcement learning algorithms.

Playing Atari with Deep Reinforcement Learning

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Prediction below, open to feedback and criticism:

As soon as GPT can learn programming languages through self reinforcement learning, it will become invincible and you will be able to create webapps at negligible cost by just giving it objectives. Coding as a career is likely downhill from here on.

Right now, we are in the DeepBlue version of GPT. It has learned from all the code available online just like DeepBlue had all human chess moves till then as its training data.

But AlphaZero learned on its own from ground up, and similarly led to AlphaGo later on.

Future GPT will learn all programming languages on its own from ground up, and deliver fully functional apps at neglible cost.

Future GPT is to Coding what AlphaZero is to Chess

Investor

A week before Sam Altman ouster, OpenAI chief scientist made a huge breakthrough which can pave path towards super intelligence. 

They developed model named Q* ( Q star) which will 
- overcome data bottleneck
- have likely solved planning/agentic behavior for small models
-able to solve certain mathematical problems,

https://www.reuters.com/technology/sam-altmans-ouster-openai-was-precipitated-by-letter-board-about-ai-breakthrough-2023-11-22/

Deepmind creates AlphaGeometry: an AI system that solves Olympiad geometry problems at a level approaching a human gold-medalist

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