LLaMA 4 Dropped: What Other AI Models Are Coming?

Meta dropped Llama 4 over the weekend, but the show’s focus quickly expanded beyond one release. The Daily AI team looks at the broader model release cycle, asking if 2025 marks the start of a predictable cadence. They compare hype versus real advancement, weigh the impact of multimodal AI, and highlight what they expect next from OpenAI, Google, and others.

Key Points Discussed

Llama 4 includes Scout and Maverick models, with Behemoth still in training. It quietly dropped without much lead-up.

The team questions whether model upgrades in 2025 feel more substantial or if it's just better marketing and more attention.

Gemini 2.5 is held up as a benchmark for true multimodal capability, especially its ability to parse video content.

The panel expects a semi-annual release pattern from major players, mirroring movie blockbuster seasons.

Runway Gen-4 and its upcoming character consistency features are viewed as a possible industry milestone.

AI literacy remains low, even among technical users. Many still haven’t tried Claude, Gemini, or Llama.

Meta’s infrastructure and awareness remain murky compared to more visible players like OpenAI and Google.

There's a growing sense that users are locking into single-model preferences rather than switching between platforms.

Multimodal definitions are shifting. The team jokes that we may need to include all five senses to future-proof the term.

The episode closes with speculation on upcoming Q2 and Q3 releases including GPT-5, AI OS layers, and real-time visual assistants.

Hashtags

#Llama4 #MetaAI #GPT5 #Gemini25 #RunwayGen4 #MultimodalAI #AIliteracy #ModelReleaseCycle #OpenAI #Claude #AIOS

Timestamps & Topics

00:00:00 🚀 Llama 4 drops, setting up today’s discussion

00:02:19 🔁 Release cycles and spring/fall blockbuster pattern

00:05:14 📈 Are 2025 upgrades really bigger or just louder?

00:06:52 📊 Model hype vs meaningful breakthroughs

00:08:48 🎬 Runway Gen-4 and the evolution of AI video

00:10:30 🔄 Announcements vs actual releases

00:14:44 🧠 2024 felt slower, 2025 is exploding

00:17:16 📱 Users are picking and sticking with one model

00:19:05 🛠️ Llama as backend model vs user-facing platform

00:21:24 🖼️ Meta’s image gen offered rapid preview tools

00:24:16 🎥 Gemini 2.5’s impressive YouTube comprehension

00:27:23 🧪 Comparing 2024’s top releases and missed moments

00:30:11 🏆 Gemini 2.5 sets a high bar for multimodal

00:32:57 🤖 Redefining “multimodal” for future AI

00:35:04 🧱 Lack of visibility into Meta’s AI infrastructure

00:38:25 📉 Search volume and public awareness still low for Llama

00:41:12 🖱️ UI frustrations with model inputs and missing basics

00:43:05 🧩 Plea for better UX before layering on AI magic

00:46:00 🔮 Looking ahead to GPT-5 and other Q2 releases

00:50:01 🗣️ Real-time AI assistants as next major leap

00:51:16 📱 Hopes for a surprise AI OS platform

00:52:28 📖 “Llama Llama v4” bedtime rhyme wrap-up

The Daily AI Show Co-Hosts: Andy Halliday, Beth Lyons, Brian Maucere, Eran Malloch, Jyunmi Hatcher, and Karl Yeh