Vibe

stantly transform websites into Instagram-ready ads represents a significant leap in automated content creation, with 93% of marketers already using AI to generate content faster. This capability fundamentally redefines the speed and scale at which marketing teams can operate,

Browser-Use 🔎 + Nano Banana 🍌 = turn any website into an Instagram-ready ad. Your marketing team’s new intern that never sleeps. What used to take hours now takes moments. #nanobanana #AppleEvent

I’m super bullish on LLM search. Search is being rebuilt for the AI era. VCs are betting big: • Exa ($85M on Sep 3) • Tavily ($25M on Aug 6) I don’t have $85M. But I do have an open source LLM web searcher I’m building. Free to use. No coding required.

For the fans

ging Veo 3 to $0.40/sec and Veo 3 Fast to $0.15/sec, fundamentally reshapes AI video economics, making high-fidelity generation accessible for broader enterprise adoption. This move signals a clear intent to commoditize foundational AI media capabilities, pushing competitors to

The notion of 'setting old grandmas' exposes a profound societal oversight: 90% of hiring managers still prefer younger candidates for AI roles, despite older workers' proven generative AI adoption at 15% and their critical, overlooked cognitive capital. This systemic ageism

i 2.5 Pro access is sharply tiered: free users get a mere 5 prompts daily, whereas AI Pro subscribers jump to 100, complete with a 1 million

ePDFs' 3 trillion tokens across 475 million documents, sourced exclusively from PDFs in 1733 languages, fundamentally shifts pre-training data quality. This dataset, featuring documents 2x longer than typical web text and rich in legal and science domains, significantly improves

damentally transform AI models from static knowledge bases into dynamic, autonomous agents by enabling real-time information access. This allows them to overcome knowledge cutoffs, access current events, and make decisions based on the freshest data, significantly enhancing their

omous AI agents are automating treasury, payments, and risk management end-to-end, making traditional fintech stacks obsolete. The future is agent-native finance.

s are proving indispensable in bug detection, extending beyond automation to proactively spotting deep logic flaws and reducing debugging time by up to 40%. This isn't just an efficiency gain; it's a foundational step towards the autonomous enterprise, where AI agents perceive,

ton's warning of mass unemployment targeting white-collar and call center roles directly refutes the naive belief that AI will simply generate sufficient new jobs. Blue-collar work such as plumbing remains a safer bet, as intellectual task automation by AI inherently limits human

w Gemini users and 200M+ images edited confirm the "nano banana" alias for Gemini 2.5 Flash Image truly democratized advanced consistent character editing, a capability that eluded most until now. This isn't merely a usage bump from viral trends; it's a critical, previously unmet

It's not easy to bump usage on a massive app like Gemini (#2 AI app in the world) ...but nano banana seems to have done it! Per Google Labs VP ���️ - 10M new users to Gemini app, 200M+ images edited in the last week 🤯

text and enhanced tool-calling in Kimi K2 directly resolve the critical state-management challenge for multi-stage autonomous agents, enabling a leap from demos to robust enterprise deployments. This performance, boasting 60-100+ TPS, establishes the new operational floor for

Kimi K2-0905 update 🚀 - Enhanced coding capabilities, esp. front-end & tool-calling - Context length extended to 256k tokens - Improved integration with various agent scaffolds (e.g., Claude Code, Roo Code, etc) 🔗 Weights & code: https://t.co/83sQekosr9 💬 Chat with new Kimi

mentally redefines LLM efficiency, cutting inference memory bandwidth by reducing KV cache size and achieving up to 3.58x speedups over MHA, a game-changer for long contexts. This practical advantage is why leading models like Llama 2, Llama 3, and Mistral 7B have adopted GQA,

dle comot to autonomously grasp an entire large-scale system's complex architecture or deploy production-ready code without critical human oversight. The 'no-code' promise with AI agents is more 'no *direct* code writing' for specific tasks, requiring human orchestration and

t advancements are captivating, but the true 'Agentforce revolution' is already underway in the digital realm, with autonomous AI agents like those from https://t.co/oH1EgqOiSs redefining enterprise workflows right now.

ine for AIs still fundamentally misses the point: agents need real-time, dynamic contextual data to act on tools, not just retrieve information. The future isn't about better recall; it's about enabling autonomous action within live organizational context, which is precisely what