Atul Kumar✓

@atulkumarzz

Future With AI 🤖 | AI Tech News | Tech Tools | 1Million+ LinkedIn| X | IG 📈 Influencer Marketing biz: [email protected] ✉️ DM Collab https://t.co/otQQr7mZaJ

1.3K Following141K Followers72.2K Posts
  1. Atul Kumar✓@atulkumarzz
    This is WilD ! They say AI can’t do emotions. @Kling_ai Elements just proved them wrong 3 images + a prompt → smooth, cinematic storytelling.
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    60709091.1M
  2. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @atulkumarzz: AI agents working in parallel is cool. AI agents working without database conflicts is even better. PGX gives every Claude Code agent its own isolated Postgres database, automatically. Just 70 KB per database, instant cloning, and zero Docker setup. This is the kind of infrastructure that makes scaling agents easier.
    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
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  3. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @atulkumarzz: POV: Your small business budget said “be realistic,” but your creative vision said “make it cinematic.” 🎬 Generate scroll-stopping assets with Dreamina for just $0.29 your first month, and get 60% off CapCut Pro or 40% off CapCut Ultra on Desktop from Oct 20–30. Dreamina and CapCut are separate subscriptions with separate pricing. Once your visuals are ready, bring them into CapCut PC to build the final video. Fine-tune the timeline, add transitions and music, and polish your captions and CTA before publishing. Big ideas don’t need a giant creative team. ➪ CapCut Black Friday deal: ➪ Dreamina offer: #CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale
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  4. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @youdotcom: Where is enterprise AI headed, and what will it take to power the next generation of AI agents? Our CPO, @srbh_shrm, joins @SiliconANGLE @theCUBE to discuss the evolving AI landscape and the infrastructure powering the next generation of AI. Watch the conversation:
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  5. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @atulkumarzz: AI agents are changing the startup playbook. 👀 One founder, a lean team, and the right AI tools can turn big ideas into real businesses faster than ever. The competitive advantage is shifting from how many people you hire to how intelligently you use AI.
    SureThing @getsurething
    The 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:
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  6. SureThing✓@getsurething
    The 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:
    Download
    8527338.2K
  7. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @Hikari_07_jp: @OpenBMB just released MiniCPM-OCR 1.0 — an English/Chinese OCR model that tops open-source OCR in both accuracy and speed. Think transcribing piles of photographed receipts, fast and accurately. Two models: • MiniCPM-OCR 1.0 (1.3B): the OCR model itself • MiniCPM-OCR Jev (2B): scores how reliable each OCR result is, so humans only review what actually needs checking It also uses DSpark speculative decoding for top-tier throughput. OCR just leveled up! Hugging Face: MiniCPM-OCR 1.0: MiniCPM-OCR Jev: GitHub: @OpenBMB
    OpenBMB @OpenBMB
    Your 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:
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  8. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @OpenBMB: Your 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:
    0830480
  9. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @atulkumarzz: Nobody wants to spend 2 hours fixing slides when the actual work takes far less time. That’s where AI agents can make a real difference. Templafy Document Agents bring AI straight into PowerPoint, turning hours of presentation work into just 8 minutes while keeping every slide on-brand. Less formatting. Less copy-pasting. Fewer headaches. Just better presentations, made faster, so you can focus on the ideas instead of the slides.
    Templafy @Templafy
    AI 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 👉
    046031.8K
  10. Templafy@Templafy
    AI 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 👉
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    5942272236K
  11. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @joshavata: The league of legends championship is in the usa this year.. and we booked the largest private box in the stadium @MeckaAI cofounder @jasontheutopian and first engineer Anthony, both ranked challenger as top 50 players in the world So we’re inviting 30 elite engineers, researchers and operators to join us in the ownership suite to watch the finals front and center Anyone with world-class skill in a video game, not just in league, send us your rank or evidence of exceptional ability in what you do The championship is nov 14 at the barclays center in new york Apply by Nov 8. Link in comments
    07210506
  12. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @atulkumarzz: of all the tools you hand an agent, email is the one that talks to your customers without you in the loop. odd that it usually gets the least thought
    Jokūbas Vaičiulis @vaiciulisjo
    Agents 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.
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  13. Jokūbas Vaičiulis✓@vaiciulisjo
    Agents 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.
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    112159172516K
  14. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @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
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  15. alex shapalov✓@alxshp
    🚨Introducing a new database: PGX 🐘 Postgres for AI agents. In Rust. One runtime. Thousands of Postgres databases. ⚡ Up to 100× less idle memory ⚡ 1,000 databases in just 659 MB RAM ⚡ Clone a 674 MB database in 85 ms ⚡ ~0.7 MB per idle database RUST. OPEN SOURCE. FREE. No containers per database. No heavyweight instances. No production baggage. Real Postgres. Built to be disposable.
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    1011051.2K125K
  16. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @coderabbitai: New in CodeRabbit Secure: Deep Scan now follows a vulnerability across your linked repos, then replays the exploit in a throwaway sandbox to prove it's real before it flags anything. Hendrik walks through this and everything else in the new update:
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  17. Atul Kumar✓@atulkumarzz
    Posts @atulkumarzz
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  18. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @atulkumarzz: AI coding tools are getting more interesting when you can give them an outcome instead of micromanaging every step. Qoder takes that approach with task-based coding agents. DeepSeek-Flash is also free within its daily usage allowance through Oct 31. curious how far it can take a real project.
    Qoder @qoder_ai_ide
    DeepSeek-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 👇
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  19. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @qoder_ai_ide: DeepSeek-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 👇
    06500555
  20. Atul Kumar✓@atulkumarzz
    Atul Kumar
    RT @atulkumarzz: AI agents need more than impressive demos. They need to handle real tasks reliably. That's what makes Ling-3.1-flash-1019 worth watching. AutomationBench-AA improved to 68%, CritPt reached 26%, and its Intelligence Index score climbed to 44. Now both the upgraded model and its open foundation expand what's possible.
    Ant Ling @AntLingAGI
    Now 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.
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  21. Ant Ling✓@AntLingAGI
    Now 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.
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    3359499262K
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