Technical Support - AI, SysAdmin, Cyber, Vibe-coding, Tech-news, Maritime, A spinkle of crypto, Slop Lord, Prompt Engineering & Grok reply guy

Joined May 2024
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Teachable Machine retweeted
Get an intro to the fundamentals of AI Agents, how they differ from LLM APIs, and where they add value in the real world. Ideal for developers, architects & ITDMs who want to understand AI systems through the lens of autonomous, goal-directed behavior β†’ goo.gle/4vRaOmC
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Teachable Machine retweeted
We’re introducing new @GeminiApp features tailored for small businesses everywhere. You’ll be able to: 🀝 Connect your Google Business Profile to Gemini, allowing Gemini to act as an AI assistant that understands your real-world business context πŸ““ Stay ahead with Business Notebooks, a new focused space where you can organize information from your chats, sources, Google Business Profile and website
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Teachable Machine retweeted
Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works πŸ‘‡
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All the news about claude fable 5. The story is written in the name.
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Teachable Machine retweeted
Add near real-time voice translation to your apps with Gemini 3.5 Live Translate via the Gemini Live API. πŸŽ™οΈ Watch how the model handles live broadcast ingestion and translation with continuous speech-to-speech streaming (S2ST) and synced transcripts, letting users tune into global radio broadcasts in their native language.
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Teachable Machine retweeted
Browser Use is now available inside Claude Managed Agents. One package enables Claude to browse the live web > SOTA browser tools via browser-harness > most undetectable stealth, #1 on BrowserBench (84.8%) > cloud browsers with sub-second cold starts, $0.02/hr Here's how to get started: Set it up now ↓
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Teachable Machine retweeted
Normally, there are no wrong answers, but not today 🚫
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Teachable Machine retweeted
MiniMax M3 can now be run locally!πŸ”₯ MiniMax-M3 is a new 428B (23B active) open model with 1M context that performs on par with Gemini 3.1 Pro. Run Dynamic 2-bit GGUF on 138GB RAM/VRAM or 3-bit on 165GB. GGUF: huggingface.co/unsloth/MiniM… Guide: unsloth.ai/docs/models/minim…
MiniMax M3, Open-Weight, Now On Hugging Face , with only ~428B parameters and ~23B activated parameters Weights: huggingface.co/MiniMaxAI/Min… MiniMax Sparse Attention: huggingface.co/papers/2606.1…
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Teachable Machine retweeted
🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced! πŸ”· Improved coding & agent performance over K2.6: 21.8% on Kimi Code Bench v2, 11.0% on Program Bench, and 31.5% on MLS Bench Lite. πŸ”· Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6. πŸ”· Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates. ⚑️ 6x High-Speed Mode coming soon! πŸ”Œ Available today via Kimi API and Kimi Code. πŸ”— Kimi Code: kimi.com/code πŸ”— API: platform.moonshot.ai
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Teachable Machine retweeted
Hermes Agent now has a production-grade WhatsApp Business Cloud integration: use it as a private WhatsApp bot for yourself or your team, or configure it for customer-facing support. Connect an existing WhatsApp Business Cloud number or create one through Meta Business Manager, then run 'hermes whatsapp-cloud' to wire it into Hermes with guided setup, secure webhooks, media/voice support, read receipts, typing indicators, and interactive approval buttons.
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Teachable Machine retweeted
As AI agents begin to act, payments move into the background β€” at machine speed and massive scale. Today we’re introducing Mastercard Agent Pay for Machines β€” bringing structure, governance, and trust to this new class of payments. Launching with 30 partners to bring this to life from day one. This isn’t just more payments. It’s a new operating model for commerce. πŸ‘‰ Learn more: mastercard.com/us/en/news-an…
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Teachable Machine retweeted
πŸŽ‰ Congrats to @Kimi_Moonshot on Kimi K2.7-Code, a coding-focused agentic model built on K2.6. ✨ 1T-parameter Mixture-of-Experts, 32B active per token ✨ MLA attention with a 256K-token context window ✨ ~30% fewer thinking tokens than K2.6 for more efficient reasoning Supported in vLLM, reusing the same deployment as K2.6. πŸ”— recipes.vllm.ai/moonshotai/K…
🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced! πŸ”· Improved coding & agent performance over K2.6: 21.8% on Kimi Code Bench v2, 11.0% on Program Bench, and 31.5% on MLS Bench Lite. πŸ”· Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6. πŸ”· Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates. ⚑️ 6x High-Speed Mode coming soon! πŸ”Œ Available today via Kimi API and Kimi Code. πŸ”— Kimi Code: kimi.com/code πŸ”— API: platform.moonshot.ai
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Teachable Machine retweeted
means a lot coming from @NVIDIAAI free GPU-accelerated M3 endpoint are live now go try it πŸ‘‡
Congrats to the @MiniMax_AI team on the release of MiniMax M3, a long-context multimodal model for text, image, and video reasoning. πŸ™Œ Try it today with our free GPU-accelerated endpoint on build.nvidia.com. Details: nvda.ws/4v4BWhD
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Jun 12
AMD Ryzen AI Halo. The ultimate local AI developer platform. Pre-order now: bit.ly/4xv5PJS ⚑ Up to 128GB unified memory ⚑ Support for models up to 200B parameters ⚑ Windows & Linux support ⚑ Ready-to-run AI workflows out of the box Build, prototype, and deploy locally without cloud constraints.
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Teachable Machine retweeted
πŸš€ Introducing Gemini-SQL2, our breakthrough text-to-SQL capability powered by Gemini 3.1 Pro! We've achieved state-of-the-art results on the highly competitive BIRD benchmark, translating natural language into execution-ready SQL queries. πŸ§΅πŸ‘‡
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Teachable Machine retweeted
Hermes Agent now has Automation Blueprints, turning cron jobs into clickable, fillable, conversational workflows.
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Teachable Machine retweeted
Introducing developer mode for browser use in Chrome and the Codex in-app browser. Codex can use the Chrome DevTools Protocol (CDP) to debug browser issues by profiling JavaScript performance and inspecting console output, network traffic, and page state.
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Teachable Machine retweeted
Gemma 4 now runs 2x faster with MTP GGUFs! Run locally on just 6GB RAM. ⚑️ MTP enables Google Gemma 4 run ~1.4–2.2Γ— faster with no accuracy loss. Gemma 4 12B MTP can run at 162 t/s vs. 52 t/s without MTP. 31B reaches 101 t/s. GGUFs Guide: unsloth.ai/docs/models/mtp
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Jun 12
For the next two weeks, Plus and Pro users can invite up to three friends to try Codex. When a friend sends their first Codex message, you’ll both get another banked reset.
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Teachable Machine retweeted
Big ideas. Small footprint. Full power. Surface RTX Spark Dev Box. Built for more. msft.it/6012vgffO
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