Stealth startup dethrones image giants

Good morning, AI enthusiasts. The text-to-image race just got a surprising latest frontrunner — with Reve emerging from stealth with a model that immediately topped global rankings under the codename “Halfmoon.”

With next-level design and text capabilities, indistinguishable-from-reality photorealism, and world-class prompt adherence, a brand new AI creative powerhouse just announced itself in a BIG way.

In today’s AI rundown:

• Reve’s latest leading image model

• DeepSeek quietly drops V3 upgrade

• Turn any YouTube video into your tutor

• ARC Prize returns to challenge AI reasoning

• 4 latest AI tools & 4 job opportunities

LATEST DEVELOPMENTS

REVE

🌜 Reve’s latest leading image model

The Rundown: Reve just emerged from stealth with Reve Image 1.0, a brand new text-to-image AI model that topped global rankings with the codename “Halfmoon” over the past week—showcasing exceptional prompt accuracy, text rendering, and image quality.

The main points:

• The model claimed the #1 position in Artificial Evaluation’ Image Arena, outperforming rivals like Google’s Imagen 3, Midjourney v6.1, and Recraft V3.

• Reve said its mission is to “enhance visual generative models with logic,” with 1.0 showing impressive prompt adherence and long text rendering in tests.

• The platform also features natural language editing, photo uploads, and an ‘explore’ tab to view community prompts and generations.

• A preview of Reve Image 1.0 is currently free to try (though no API access yet), with the corporate saying that “rather more is coming soon”.

Why it matters: What a stealth debut from Reve, with their first model already topping the leaderboards against established giants within the text-to-image arena. 1.0 seems to mix the very best of the SOTA image models — with extreme photorealism, world-class prompt following, editing tools, and absolutely next-level text capabilities.

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DEEPSEEK

🐳 DeepSeek quietly drops V3 upgrade

The Rundown: Chinese AI startup DeepSeek just released an updated version of its V3 model, an enormous 641GB model able to running on high-end personal computers — also featuring a highly permissive open source MIT License for broad use.

The main points:

• The V3 update, V3-0324, uses a Mixture-of-Experts architecture that prompts only 37B parameters per token, dramatically reducing compute demands.

• Testers have shown it might run easily on Apple’s Mac Studio computers, making it the primary model of this caliber accessible outside data centers.

• Early users have also reported upgraded math and coding capabilities, with one other calling it the very best non-reasoning model available.

• V3-0324 might be accessed with an open-source MIT License, a change from the previous V3 model that had a more restrictive custom license.

Why it matters: China’s AI darling continues to ship, with a supposedly minor update bringing some big upgrades. Rumors in regards to the upcoming R2 release are also gaining momentum, hinting at one other ‘DeepSeek moment’ that would shake the AI world—potentially signaling a brand new leader in the sector.

AI TRAINING

🎓 Turn any YouTube video into your tutor

The Rundown: On this tutorial, you’ll learn convert YouTube videos into personal tutors with Google AI Studio, which enables you to ask questions on any video by simply pasting the link—making complex content immediately accessible for learning.

Step-by-step:

1. Visit Google AI Studio and log in together with your Google account.

2. Select “Gemini 2.0 Flash” from the Model dropdown menu on the best side of the screen.

3. Paste your YouTube video link within the prompt area, followed by your specific query in regards to the content.

4. Ask follow-up inquiries to explore the video content more deeply, referencing specific timestamps if needed.

Pro tip: When exploring videos on complex educational subjects, you’ll be able to ask the AI to “Create an easy explanation of the [concept]” or “Generate a quiz based on this lecture to check my understanding.”

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ARC FOUNDATION

🧠 ARC Prize returns to challenge AI reasoning

The Rundown: The ARC Prize Foundation just launched ARC-AGI-2, a brand new benchmark designed to push the frontier of AI reasoning capabilities — alongside a $1M competition to drive research toward more efficient general intelligence systems.

The main points:

• ARC-AGI-2 targets skills that remain difficult for AI while being easy for humans, with tasks solvable by a minimum of two humans in under two attempts.

• Current AI reasoners perform poorly on ARC-AGI-2, with even OpenAI’s o3-low scoring only an estimated 4%, in comparison with 75.7% on the previous version.

• ARC also introduced an efficiency metric alongside raw performance, measuring cost per task to check each capability and resource efficiency.

• The ARC Prize 2025 competition launches this week with $1M in prizes, including $700k for the primary to attain 85% accuracy inside efficiency limits.

Why it matters: Lots of the top AI labs feel that AGI is just across the corner, and ARC’s original AGI-1 benchmark was already seeing top models just like the o3 rating within the 80s (not without controversy). While the brand new iteration could also be a greater test, it’s still hard to assume it lasting long — however the AGI goalposts will likely proceed to shift.

QUICK HITS

🛠️ Trending AI Tools

• 🪄 Promptimize – Browser extension that offers you the facility of an authority prompt engineer in a single click*

• 🧠 Hunyuan T1 – Tencent AI matching DeepSeek in performance and pricing

• ⚙️ Zapier MCP – Connect AI across 8,000+ apps without API integrations

• 🤔 Claude “Think” – Tool to enhance Claude’s problem-solving performance

*Sponsored Listing

💼 AI Job Opportunities

• 🔍 Anyscale – Technical Sourcer

• 🎬 Captions – Software Engineer, Video Processing

• 🗄️ Anthropic – Data Infra Engineer, Pretraining

• 👥 xAI – People Coordinator

📰 Every little thing else in AI today

Sam Altman announced latest internal leadership promotions at OpenAI, with Mark Chen appointed as Chief Research Officer and Brad Lightcap’s role expanding as COO.

Alibaba’s Qwen team open-sourced Qwen2.5-VL-32B-Instruct, a brand new vision-language model featuring enhanced mathematical reasoning and visual capabilities.

Netflix co-founder Reed Hastings donated $50M to his alma mater, establishing the Hastings Initiative for AI and Humanity to review the tech’s risks and future impact.

Alibaba-affiliate Ant Group reportedly adopted a hybrid chip strategy combining Chinese and American chips, which reduced AI development costs by 20%.

Google began rolling out ‘Project Astra’ features that give advanced vision, live video, and screen reading capabilities to Gemini.

Alibaba released LHM, a brand new AI model that creates animated 3D avatars from only a single reference image.

COMMUNITY

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Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team