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- Meta launched Llama 4.
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Hello again, human brain, and welcome back to your daily munch of AI news.
Here’s what’s on the menu today:
Meta's AI reads entire codebases🤖
Meta launched Llama 4.
TIME's top AI expert warns of 2027😱
What AI could look like in 2 years.
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MAIN COURSE
Meta demolishes OpenAI🤖
Meta launched Llama 4. Its newest suite of open-source AI models features breakthrough multimodal capabilities, massive context windows, and more.
What's new?
Llama 4 Scout (16 experts) and Maverick (128 experts), both with 17B active parameters but different total parameter counts.
Are they any good?
Maverick reportedly outperforms OpenAI's GPT-4o on reasoning, coding, and vision tasks, while Scout offers an industry-leading 10M token context window (for tackling massive documents and codebases).
What’s coming?
Llama 4 Behemoth. It’s a 288B parameter monster still in training. It allegedly outperforms GPT-4.5, Claude 3.7, and Gemini 2.0 Pro on internal benchmarks.
What's under the hood?
They’re Meta’s first mixture-of-experts (MoE) models. They activate only a fraction of parameters for each task. Native multimodality through “early fusion” integrates text and vision directly.
Where can I get them?
Check them out on llama.com and Hugging Face under Meta's Llama 4 Community license, with cloud platform availability coming soon.
EXTRA FRIES
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SIDE SALAD
Your job? Gone by 2027😱
A hypothetical scenario from AI experts projects rapid advances in AI that could transform our world within just two years.
Why do I care?
The team who wrote this includes:
Daniel Kokotajlo — one of TIME’s 100 Most Influential People in AI 2024
Eli Lifland — ranks #1 on the RAND Forecasting Initiative leaderboard
Thomas Larsen — founded the Center for AI Policy
and more.
What do they predict?
The timeline foresees a series of increasingly powerful AI systems, from today's unreliable agents to superhuman coders, by early 2027.
What drives this acceleration?
AI systems improve themselves. By mid-2027, the scenario predicts 300,000 AI copies running 50x faster than human thinking speed.
What are the geopolitical implications?
The timeline portrays an AI arms race between the US and China, with espionage, cyberattacks, and potential military confrontation. By August 2027, AI could threaten nuclear deterrence.
Oh, deary me… I’m glad it’s fictional.
The authors note that OpenAI, Google DeepMind and Anthropic CEOs have all predicted AGI within 5 years, with Sam Altman pursuing “superintelligence in the true sense of the word.”
YOUR DAILY MUNCH
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Think Pieces 🧠
US Copyright Office released report (part 2) of AI-generated works. It states that human creativity is needed to qualify for copyright and no new copyright laws are needed.
OpenAI vs. Anthropic… Who will become the default AI tool for college students? Each are offering free educational versions of their chatbots.
Startup News 💰
Adobe launched Premiere Pro's Generative Extend. It extends 4K video clips and ambient audio, and introduces AI-driven clip search/automatic caption translations.
Anthropic launched Claude for Education. It features a Socratic-style “Learning Mode” designed to encourage critical thinking rather than directly providing answers.
Research 👨🔬
MergeVQ — introduces a unified framework combining token merging and vector quantization (VQ) to efficiently bridge visual generation and representation learning.
GPT-ImgEval — evaluates GPT-4o’s image generation capabilities across text-to-image generation, editing proficiency, and knowledge-based semantic synthesis.
MEME FOR DESSERT
SPOT THE AI
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