Tee @hmerize

BREAKING: Elon Musk just reposted the tower of Jesus Christ illuminated for the first time to his 240 Million Followers JESUS CHRIST IS KING 🙏

INSTEAD OF SPENDING WEEKS FIGURING OUT CODEX TONIGHT Watch OpenAI's own engineers break down how they actually use it. Most people are treating Codex like a code autocomplete. That is not even close to what it can do. 1 hour. From the people who built it. The ones who watch this will be ahead of 99% of developers by tomorrow. The ones who skip it will keep leaving power on the table. Bookmark this before you scroll past it.

🤔 " L'islam est apparu en 635 après J.-C. L'Évangile selon Jean a été rédigé vers l'an 100 après J.-C. Il s'est donc écoulé 535 ans après l'Évangile selon Jean. Jean est un témoin oculaire, mon cher Muhammad. Jean est un témoin oculaire. Il a vécu avec Jésus. Il a marché à ses côtés. Il a vu les prodiges et les miracles de Jésus et il les a consignés. On me dit donc que je dois maintenant croire en quelqu'un qui est venu six ou sept siècles après que la Sainte Bible ait été rédigée. Vous voulez que je croie en un document rédigé sept siècles après la Sainte Bible. Vous voulez que je croie en quelqu’un qui n’a jamais vu Jésus, qui n’a jamais vécu avec Jésus, qui n’a jamais marché aux côtés de Jésus, plutôt qu’en celui qui a marché, vécu, mangé et embrassé Jésus-Christ chaque jour pendant trois ans et quatre mois. Où est la logique ? Ceux qui ont rédigé la Sainte Bible, tant l’Ancien que le Nouveau Testament, sont plus de 40 auteurs. Il a fallu environ 1 600 ans pour rédiger l’intégralité de la Sainte Bible. 1 600 ans pour rédiger l’intégralité de la Sainte Bible. Tous les auteurs, tous les rédacteurs, devrais-je dire, tous les rédacteurs, de niveaux d’éducation différents, d’horizons différents, d’époques différentes, de pays différents, tous ont écrit la même chose. Que Jésus-Christ est le seul et unique. Il est le Sauveur. Il est le Messie, c'est-à-dire Dieu, et il a été crucifié ; est ressuscité d'entre les morts, et quiconque l'accepte sera sauvé pour l'éternité. Et les douze apôtres, ils étaient à ses côtés tous les jours. Ils marchaient avec lui. Ils vivaient avec lui. Ils ont consigné tout ce qu’ils ont vu. Vous voulez que je renie tout cela et que je croie en quelqu’un qui est venu six siècles plus tard ? " Crédit vidéo : Évêque Mar Mari Emmanuel d'Irak, servant l'église assyrienne en Australie #MarMariEmmanuel #Assyrien #Chrétiens #JesusChrist #islam #Évangile #question

Christians in Nigeria sing to God after consistent Islamic attacks.

The Silent Legion: Why 72,000 Angels Stood Ready… But Jesus Held Them Back Picture this: Jesus is betrayed. Soldiers swarm in to arrest the Son of God. Peter pulls his sword… but Jesus stops him cold. Then He drops this bombshell: ‘Do you think I cannot call on My Father right now? He would send Me more than twelve legions of angels — over 72,000 heavenly warriors — instantly.’ These weren’t gentle messengers. A single angel once wiped out 185,000 enemy soldiers in one night. Imagine 72,000 of them unleashed — enough to level armies, shatter kingdoms, and rewrite history in a blaze of divine power. They were there. Ready. Swords drawn. Hearts burning with fury at the sight of their King being betrayed. So… what was their secret mission? They weren’t there to fight for Jesus that night. Their true assignment was far greater: to witness the greatest act of love the universe has ever seen. They stood guard over the moment Heaven’s King chose the cross instead of the crown. They held back so that you and I could be saved. No shortcuts. No escape. Just perfect obedience to the Father’s plan of redemption. Jesus could have ended it all with one prayer. But He didn’t. He chose nails… for you.” That’s the undiscovered truth behind the 72,000. They didn’t fail. They fulfilled their mission in silence — so grace could win. What do you think would’ve happened if He had called them?

Jesus walked on water here.🌊 Sea of Galilee.🇮🇱 Israel.

This is the most MIRACULOUS story I have ever heard. James Drain was diagnosed with Multiple Sclerosis and deemed legally blind. He lost nearly all function in his legs. In his darkest hour he turned to God and what happened at his baptism is nothing short of a miracle. When he rose up from the water, he could see again! And the fact that it was captured on video gives me chills. I asked earlier today about if you guys believe in miracles. THIS IS PROOF.

JESUS CHRIST said : “Before Abraham was; I AM.” John 8:58 “I AM the First and the Last” Rev. 1:17-18 JESUS is the Messiah; “I AM he” John 4:25-26 “I AM with you always” Matt. 28:20 “I AM the Bread of Life” John 6:35 “I AM the Light of the world” John 8:12 I AM the Son of Man; “I AM he” John 8:28 “I AM the Gate/Door” John 10:9 “I AM the Good Shepherd” John 10:11 “I AM the Resurrection and the Life” John 11:25 “I AM the Way” John 14:6 I AM the Truth” John 14:6 “I AM the Vine” John 15:5 I AM the same yesterday, today and forever Hebrews 13:8

DeepSeek v4 Pro is now on Ollama's cloud! 🚀🚀🚀 Try it with Claude Code: ollama launch claude --model deepseek-v4-pro:cloud Try it with Hermes Agent: ollama launch hermes --model deepseek-v4-pro:cloud Chat with the model: ollama run deepseek-v4-pro:cloud 🧵

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A completely local agent that lives right inside your browser. Powered by Gemma 4 E2B and WebGPU, it uses native tool calling to: 🔍 Search browsing history 📄 Read and summarize pages 🔗 Manage tabs 100% local. No servers needed!

DeepSeek slashed the pricing for input cache hits across its entire API ecosystem, reducing the cost to just 1/10th of the original rate effective immediately.

DeepSeek @deepseek_ai

3 months ago

🔥DeepSeek Input Cache Price Drop! Effective immediately, the price for input cache hits across the ENTIRE DeepSeek API series is reduced to just 1/10th of the original price! Build more efficiently for less. 📌Reminder: The DeepSeek-V4-Pro 75% OFF promotion is still active

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🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n

Memory on Claude Managed Agents is now in public beta. Your agents can now learn from every session, using an intelligence-optimized memory layer that balances performance with flexibility.

Memories are stored as files, so developers can export them, manage them via the API, and keep full control over what agents retain. Read more: claude.com/blog/claude-ma…

The Local LLM cheat sheet for your 16GB RAM device I pulled together a lineup of small models that can run comfortably on a Mac Mini or personal laptop while still leaving room for context without melting your machine. Models for Daily Use Qwen3.5 9B / GGUF / Q4_K_M Daily driver. General chat, drafting, research, translation. If you're keeping only one, keep this. DeepSeek-R1 Distill Qwen 7B / GGUF / Q4_K_M Reasoning engine. Math, logic, step-by-step problems. Slower, but worth it when you need actual thinking. Models for Specialty Work Qwen2.5 Coder 7B / GGUF / Q4_K_M Code specialist. Completions, refactors, debugging, repo Q&A. Better than a generalist when the task is code. Llama 3.1 8B / GGUF / Q4_K_M Long context worker. RAG, doc chat, codebase Q and A. The output isn't top tier, but the context is strong for its size. Phi-4 Mini Reasoning / GGUF / Q4_K_M Compact thinker. Logic, structured answers, math, and short coding bursts. Smaller context is the catch. Models for Efficiency Gemma 4 E4B / GGUF / Q4_K_M Light all-rounder. Writing, chat, light agents, structured output. Phi-3.5 Mini / GGUF / Q5_K_M Pocket sidekick. Summaries, extraction, background doc chat. Easy to pair with a bigger model. Qwen3.5 2B / GGUF / Q4_K_M Useful for summaries, tagging, rewrites, and lightweight sidekick work. Micro Models Qwen3.5 0.8B / GGUF / Q5_K_M Classification, keyword routing, binary decisions, triage. Gemma 4 E2B-it / GGUF / Q4_K_M Lightweight chat, quick Q and A, summaries, tiny agents. My personal choice for a single model is Qwen3.5 9B For two models use Qwen3.5 9B + Qwen2.5 Coder 7B for code, or Qwen3.5 9B + Phi-3.5 Mini for support tasks. Let me know in the comments your experience with these models, or any I have left out.

Kimi K2.6 raises the bar for open-source models. 🦙 available on Ollama's cloud! Try it with OpenClaw: ollama launch openclaw --model kimi-k2.6:cloud Try it with Hermes Agent: ollama launch hermes --model kimi-k2.6:cloud Try it with Claude Code: ollama launch claude --model kimi-k2.6:cloud more integrations 🧵

Kimi.ai @Kimi_Moonshot

3 months ago

Meet Kimi K2.6: Advancing Open-Source Coding 🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2) What's new: 🔹Long-horizon coding - 4,000+

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May His presence go before you And behind you, and beside you All around you, and within you He is with you, He is with you In the morning, in the evening In your coming, and your going In your weeping, and rejoicing He is for you, He is for you ✝️🤍🕊️

Claude Codeのトークンを最大90%削減するGitHubリポジトリ10選： 1. RTK（Rust Token Killer） ターミナル出力をコンテキストに流す前にフィルタリング。よく使う開発コマンドで60〜90%削減できる。 github.com/rtk-ai/rtk 2. Context Mode PlaywrightやGitHubのツール出力をSQLiteに退避して、クリーンな要約だけを会話に渡す。98%削減。 github.com/mksglu/context… 3. code-review-graph Tree-sitterでコードベースをローカルで知識グラフ化。Claudeが必要な部分だけ読むので大規模モノレポで49倍削減。 github.com/tirth8205/code… 4. Token Savior ファイル全体ではなくシンボル単位でコードを参照するMCPサーバー。コードナビで97%削減、外部依存ゼロ。 github.com/Mibayy/token-s… 5. Caveman Claude Claudeを穴居人口調で話させてアウトプットトークンを65〜75%削減。技術的な正確さは維持したまま。 github.com/JuliusBrussee/… 6. claude-token-efficient CLAUDE(.)mdを一つ置くだけで出力を簡潔に保てる。コード変更なし、出力が多いセッションに最適。 github.com/drona23/claude… 7. token-optimizer-mcp キャッシュ・圧縮・スマートツール制御を備えたMCPサーバー。繰り返しのツール出力を圧縮して95%以上削減。 github.com/ooples/token-o… 8. claude-token-optimizer プロジェクトを最適化する再利用可能なセットアッププロンプト集。5分で90%のトークン節約ができる。 github.com/nadimtuhin/cla… 9. token-optimizer コンテキストを静かに食い尽くすゴーストトークンを発見。コンパクション後も品質が劣化しない。 github.com/alexgreensh/to… 10. claude-context（by Zilliz） BM25＋ベクトル検索でコードベース全体をコンテキストにできるMCP。同等の検索精度で約40%削減。 github.com/zilliztech/cla… 保存して後で使いこなして。

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2 Chronicles 20:15

AMEN