This is WilD !
They say AI can’t do emotions.
@Kling_ai Elements just proved them wrong
3 images + a prompt → smooth, cinematic storytelling.
60709091.1M
@atulkumarzz
Future With AI 🤖 | AI Tech News | Tech Tools | 1Million+ LinkedIn| X | IG 📈 Influencer Marketing biz: [email protected] ✉️ DM Collab https://t.co/otQQr7mZaJ
alex shapalov @alxshp🚀 Launched: PGX DB Agent Skill 🐘 70 KB Postgres database per AI agent. Isolated. Fast. Disposable. FREE. Every Claude Code agent gets its own isolated Postgres database. Automatically. ⚡ Tested with 200 concurrent agents ⚡ Zero database conflicts ⚡ Instant database cloning ⚡ No Docker. No cloud. ⚡ No manual database setup. One agent. One database. Free. Open source. Built in Rust. 🦀 npx skills add pgrundev/pgx --skill pgx
SureThing @getsurethingThe next billion-dollar company won't need a billion-dollar team. We're betting on founders running businesses with AI agents. Introducing SureThing 3.0: • 2,000+ live data endpoints built in. • Upgraded models & architecture. 50% fewer credits. • Yearly plans, 40% off. Meet your AI team:
OpenBMB @OpenBMBYour OCR says it’s done—but did it get everything right? 🤔 In high-stakes workflows, even a small error can be costly. 🚀 Meet the MiniCPM-OCR suite: an open-source solution to parse fast and guard the results. Two new models: 🔹 MiniCPM-OCR 1.0 — SOTA OCR performance and speed at 1B scale. Compact, accurate, and fast. 🔹 MiniCPM-OCR Jev — A 2B decision model that helps assess parsing accuracy, with performance approaching that of Qwen3.5-397B-A17B on JevOCRBench. ⚡ What’s new? Small model, SOTA results: MiniCPM-OCR 1.0 scores 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2. A sharp goalkeeper 🛡️: MiniCPM-OCR Jev is model-agnostic, checking text, formulas, and tables from different OCR parsers. It achieves 93.6 on JevOCRBench, outperforming JEV-35B-A3B (90.1) and approaching Qwen3.5-397B-A17B (93.8). Up to 128 pages per minute 🤯: With DSpark, MiniCPM-OCR runs at 1.49× the speed of PaddleOCR-VL-1.6 and 3.62× that of MinerU2.5 Pro. The SDK’s concurrency optimizations further boost throughput to as much as 128 pages per minute. Deploy where you work: Day-0 support for Arm, Houmo AI, Intel, and NVIDIA, plus 10 more chip vendors through FlagOS. Ready for your stack: vLLM, SGLang, llama.cpp, and Ollama, with quantized models, fine-tuning support, and Agent Skills. 🔗 GitHub: 🤗 Hugging Face: MiniCPM-OCR 1.0: MiniCPM-OCR Jev: 👉 Try the Demo: Use the API:
Templafy @TemplafyAI that knows your company’s content and branding? 👀 With Templafy Team, build and share AI Agents that create editable PowerPoints using your company's knowledge and templates. Get started 👉
Jokūbas Vaičiulis @vaiciulisjoAgents f*ck up. When your SDR agent does, it shouldn't take the domain your invoices go out from with it. OpenMail gives every agent its own inbox, its own sending limits and its own reputation.
Qoder @qoder_ai_ideDeepSeek-V4.1-Flash-1017 is FREE in Qoder through Oct 31. Free and paid individual accounts included. No claim needed. Daily free uses cost 0 Credits, even with a zero balance. How to start is in the reply 👇
Ant Ling @AntLingAGINow open source: Ling-3.1-flash-1019. 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41 for Ling-3.1-flash. Also releasing Ling-3.1-flash-base, an open foundation for further training.