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Today:

• AI's Coding Task Yields $403K Earnings

• Google Unveils AI Co-Scientist

• Microsoft Unveils Majorana 1 Chip

• Meta Unveils Project Waterworth

• Lucid Unveils AI-Powered Simulations

• Open-Source Evo 2 Transforms Biology

OpenAI's SHOCKING Research: AI Earns $403,325 on REAL-WORLD Coding Tasks | SWE Lancer

OpenAI created a real-world coding test with 1,400 freelance tasks worth $1 million. Models can solve up to 40% of these paid assignments, showing rapid improvement in tackling complex bug fixes and features. 

This test ties model performance to actual earnings, raising concerns about potential job losses as AI gains ground. By measuring monetary outcomes, OpenAI encourages deeper research on the economic effects of AI coding tools and the future of work.

WATCH THE VIDEO ON YOUTUBE

Google Unveils AI Co-Scientist

Google introduces the AI co-scientist, a multi-agent system powered by Gemini 2.0, to aid researchers in generating novel hypotheses and accelerating discoveries. It mimics scientific reasoning, refines research proposals, and has demonstrated success in drug repurposing, target discovery, and antimicrobial resistance studies. Early tests confirm its potential for groundbreaking insights. Google is offering research organizations Trusted Tester access to explore its capabilities responsibly.

Microsoft Unveils Majorana 1 Chip

Microsoft has unveiled Majorana 1, the first quantum chip using a Topological Core, powered by groundbreaking topoconductors. This innovation enables stable, scalable qubits, paving the way for million-qubit quantum computers capable of solving complex industrial and scientific problems. Microsoft’s approach offers a faster path to commercial quantum computing, validated by DARPA. The Majorana 1 chip could revolutionize materials science, healthcare, and sustainability with unprecedented computing power.

Meta Unveils Project Waterworth

Meta has announced Project Waterworth, its most ambitious subsea cable project, spanning 50,000 km across five continents. This high-capacity infrastructure will enhance global connectivity, supporting AI innovation and economic growth in regions like the U.S., India, and Brazil. The multi-billion-dollar project introduces advanced 24-fiber pair cables, deep-sea routing, and protective measures to ensure resilience, reinforcing Meta’s leadership in digital infrastructure and AI-driven connectivity solutions.

Lucid Unveils AI-Powered Simulations

Lucid, a Y Combinator-backed startup, is revolutionizing game development and robotics with generative simulations powered by fast world models. Unlike traditional engines, Lucid's AI learns physics from pixels, enabling dynamic, interactive environments. Their neural Minecraft simulator runs at 20+ FPS, outperforming existing models. Lucid aims to create infinite, real-time worlds for gaming and high-fidelity AI training for robotics. They're now training on real-world video to build a universal simulation engine.

Open-Source Evo 2 Transforms Biology

Evo 2 is a groundbreaking biological foundation model trained on 9.3 trillion DNA base pairs across all domains of life. With up to 40B parameters and a 1 million token context window, it predicts genetic variation impacts without task-specific finetuning. Evo 2 autonomously learns biological features and generates high-fidelity genomes at scale. Fully open-source, it aims to revolutionize genome modeling and synthetic biology through advanced AI-driven design.

🧠RESEARCH

Phantom: Subject-consistent video generation via cross-modal alignment

Phantom is a video generation framework ensuring subject consistency by aligning text and image inputs. It extracts elements from reference images and generates videos based on text prompts. By redesigning text-image integration, it improves identity preservation in human videos, advancing subject-consistent generation.

Soundwave: Less is More for Speech-Text Alignment in LLMs

Soundwave is a speech-text alignment model that achieves high performance with minimal training data. It addresses representation gaps and sequence inconsistencies, outperforming Qwen2-Audio in speech tasks using just 1/50th of the data. The model retains conversational intelligence.

Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

This study explores the limits of token sequence compression in language models. By optimizing per sample, the authors achieve compression ratios up to x1500, far exceeding previous x10 limits. Results suggest vast untapped potential in embedding efficiency, offering new paths for optimizing model design.

Continuous Diffusion Model for Language Modeling

This paper introduces a continuous diffusion model for language modeling, improving upon discrete approaches by leveraging statistical manifold geometry. It bridges discrete and continuous diffusion, enhancing performance while approaching autoregressive model efficiency. The method refines training without simulations.

Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear Distillation

mmMamba introduces a linear-complexity multimodal state space model, reducing computational costs while preserving performance. By distilling knowledge from Transformer-based models, it achieves up to 20.6x speedup and 75.8% memory savings. The hybrid model balances efficiency and accuracy.

🛠️TOP TOOLS

Llama Coder - Open-source web application that generate entire applications from simple natural language prompts.

Kubee - AI tool designed to enable users to create, interact, and customize their own digital avatars.

Humbot AI - Designed to transform AI-generated text into human-like writing, effectively evading AI detection systems.

Durable AI - AI that builds a website for you

Cursor AI - Cutting-edge technology company that has revolutionized the way software developers write and manage code.

📲SOCIAL MEDIA

🗞️MORE NEWS

• Google's AI tool, Career Dreamer, helps users explore career paths by generating professional summaries based on their experience and skills. It also suggests potential roles with detailed insights, making job exploration easier and more personalized.

• Xbox unveils Muse, a generative AI model enhancing game creation and accessibility. Developed with Ninja Theory, it preserves classic games, aids development, and empowers creators. Muse is now available for research via Azure AI Foundry.

• Apple unveils the iPhone 16e, featuring AI-powered Apple Intelligence and a custom modem. Priced at $599, it replaces the iPhone SE, aiming to boost sales amid market challenges and expand AI features globally.

• AI startup OpenEvidence raised $75 million from Sequoia, valuing it at $1 billion. Its AI copilot for doctors enhances decision-making, already used by 25% of U.S. physicians. The funding supports expansion and strategic partnerships.

• The Human Virome Program, a five-year study backed by $171 million, uses AI to analyze viruses in human samples. Scientists aim to uncover how trillions of viruses inside us influence health, potentially revealing unknown benefits.