Chetaslua
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Chetaslua
@chetaslua
AI News | AI Prompting and Comparison| Breaking AI news before it’s famous



MiniMax M2.7 is real deal man I have made a complete website with proper fan physics and fibre physics this looks so good @MiniMax_AI i am waiting for the next update man , i want a big model next cook it for us Prompt is in comment for normal paper receipt physics sim


We’re launching a brand new, full-stack vibe coding experience in @GoogleAIStudio, made possible by integrations with the @Antigravity coding agent and @Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with @GoogleMaps 🕹️


New release: Multi-agent part 1

My first test of MiniMax M2.7 this made 3d fibre physics with all the specs of m2.7 is written



Introducing 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔: Rethinking depth-wise aggregation. Residual connections have long relied on fixed, uniform accumulation. Inspired by the duality of time and depth, we introduce Attention Residuals, replacing standard depth-wise recurrence with learned, input-dependent attention over preceding layers. 🔹 Enables networks to selectively retrieve past representations, naturally mitigating dilution and hidden-state growth. 🔹 Introduces Block AttnRes, partitioning layers into compressed blocks to make cross-layer attention practical at scale. 🔹 Serves as an efficient drop-in replacement, demonstrating a 1.25x compute advantage with negligible (<2%) inference latency overhead. 🔹 Validated on the Kimi Linear architecture (48B total, 3B activated parameters), delivering consistent downstream performance gains. 🔗Full report: github.com/MoonshotAI/Att…




MiniMax M2.7 is real deal man I have made a complete website with proper fan physics and fibre physics this looks so good @MiniMax_AI i am waiting for the next update man , i want a big model next cook it for us Prompt is in comment for normal paper receipt physics sim


wait this is hilarious i just realized grok-4.20's base model scores the same as MiMo-V2-Flash imagine this Grok model being hyped up and waited for for like 6 months straight is not even at its core smarter than a 200B Xiaomi model lololol its also less price and token efficient


We found this line in the Grok config, : “Grok 4.20 AGI (beta)” Artificial Grok Intelligence Probably just an easter egg… or maybe not 👀 @elonmusk can you confirm 🤯




Early testers are saying that M2.7 has big improvements in emotional intelligence and character consistency 👀


@AdamLowisz It should be able to do a good analysis today. Grok outputting files in different formats is coming next week.

My first test of MiniMax M2.7 this made 3d fibre physics with all the specs of m2.7 is written



