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qdrddr.bsky.social @qdrddr.bsky.social · 5h

⚡ #PostgreSQL query pipelining — up to 71× faster under high latency in v18! #Python & #C #C++ supported; Java, C#/.NET still missing
🔗 Link in first 💬⤵️

Repost 🔁 #Databases #Tech #Dev #DevOps #SQL

Code Mode: the better way to use MCP

Reposted

Ayme @catcoconut.com · 1d

I’m getting big “artists at a con circulating the same $20 around” vibes but like, in an evil way

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qdrddr.bsky.social @qdrddr.bsky.social · 1d

⭐️🔗 blog.cloudflare.com/code-mode/
👉 Discuss with me in Discord: linktr.ee/qdrddr

It turns out we've all been using MCP wrong. Most agents today use MCP by exposing the

blog.cloudflare.com

Code Mode: the better way to use MCP

qdrddr.bsky.social @qdrddr.bsky.social · 1d

🛠️ #Cloudflare turns #MCP tools into TypeScript #API — enabling #LLMs to generate & chain code efficiently with fewer tokens
🔗 Link in first 💬⤵️

Repost 🔁 #AI

It turns out we've all been using MCP wrong. Most agents today use MCP by exposing the

blog.cloudflare.com

qdrddr.bsky.social @qdrddr.bsky.social · 1d

⭐️🔗 github.com/microsoft/ag...
👉 Discuss with me in Discord: linktr.ee/qdrddr

qdrddr.bsky.social @qdrddr.bsky.social · 1d

🤖 #Microsoft unifies #AutoGen & #SemanticKernel into the new #AgentFramework — one ecosystem for building & orchestrating #AI agents
🔗 Link in first 💬⤵️

Repost 🔁 #LLM #Agents

Meta AI To Start Using Your Data For Targeted Ads—Here’s How And When

qdrddr.bsky.social @qdrddr.bsky.social · 1d

#Meta Starts Using Your Data For Targeted #Ads Oct 7 - no opt out except EU/UK/South Korea. Confirmed: collects interactions with its #AI tools across #WhatsApp #Facebook #Instagram #Threads

Except: religion/beliefs, sexual orientation, politics, health, racial or ethnic origin

More @forbes.com

Meta has confirmed it will collect interactions with its AI tools to serve targeted ads across Facebook, Instagram and Threads. Here's how, when and who is affected.

www.forbes.com

MLflow MCP Server | MLflow

qdrddr.bsky.social @qdrddr.bsky.social · 1d

⭐️🔗 mlflow.org/docs/3.4.0/g...
👉 Discuss with me in Discord: linktr.ee/qdrddr

- This feature is experimental and may change in future releases.

mlflow.org

qdrddr.bsky.social @qdrddr.bsky.social · 1d

⚡ #MLflow 3.4 adds #MCP server integration — #AI agents can now analyze runs, track tokens & auto-optimize #ML tasks
🔗 Link in first 💬⤵️

Repost 🔁 #LLM #MLOps #LLMOps

GitHub - Agent-on-the-Fly/Memento: Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

qdrddr.bsky.social @qdrddr.bsky.social · 3d

Memento — gives your prompts a memory! 🧠
It learns and improves over time, getting closer to the results you’d expect from a fine-tuned #LLM, but without retraining.
Super handy for agents that need to adapt continuously.

Has anyone else played with it yet?
#AI #RAG #PromptEngineering #Agents

Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs - Agent-on-the-Fly/Memento

GitHub - ChromeDevTools/chrome-devtools-mcp: Chrome DevTools for coding agents

qdrddr.bsky.social @qdrddr.bsky.social · 3d

Tested cool Chrome DevTools MCP server 👏
Your agent directly controls & inspects a live browser — full access to DevTools for automation, deep debugging, and performance profiling.

A step toward truly autonomous browser automation. 🚀
Anyone else experimenting with this setup?

Apache 2.0 lic

Chrome DevTools for coding agents. Contribute to ChromeDevTools/chrome-devtools-mcp development by creating an account on GitHub.

SWE-Bench Pro (Commercial Dataset)

qdrddr.bsky.social @qdrddr.bsky.social · 4d

Leaderboard scale.com/leaderboard/...

Explore the SEAL leaderboard with expert-driven LLM benchmarks and updated AI model leaderboards, ranking top models across coding, reasoning and more.

scale.com

qdrddr.bsky.social @qdrddr.bsky.social · 4d

SWE-Bench-Pro (Commercial Dataset) is a new #leaderboard for #programming tasks. Leaders:
- Claude Opus 4.1
- GPT-5
- Gemini 2.5 Pro

Link in the first comment 💬⤵️
#AI #LLM #SWE-Bench

qdrddr.bsky.social @qdrddr.bsky.social · 7d

ModernVBERT is a vision model

Suite of compact 250M-parameter vision-language encoders, achieving state-of-the-art performance in this size class, matching the performance of models up to 10x larger.
MIT licensed

#AI #LLM #ModernBERT

huggingface.co/collections/...

GitHub - michabbb/graphiti-mcp-but-working

Reposted

Micha the DevOp @michabbb.bsky.social · 8d

Ever heard of #graphiti ? #RAG ? 🤖 💽 🔍
Want to use it everywhere, not only on localhost?

Finally, there is a working #MCP for that:

🔗 github.com/michabbb/gr...

tested with #claudai❤️

#ai #coding

Contribute to michabbb/graphiti-mcp-but-working development by creating an account on GitHub.

GitHub - eli64s/readme-ai: README file generator, powered by AI.

qdrddr.bsky.social @qdrddr.bsky.social · 9d

⭐️🔗 GitHub: github.com/eli64s/readm...
👉 Discuss with me in Discord: linktr.ee/qdrddr

README file generator, powered by AI. Contribute to eli64s/readme-ai development by creating an account on GitHub.

Temporal Aware AI memory: Why time is a key in a memory

qdrddr.bsky.social @qdrddr.bsky.social · 9d

📝 Auto-generate README files • Language-agnostic • Templates, styles & badges
📜 MIT lic
🔗 Link in first 💬⤵️

Repost 🔁 #AI #LLM #Technology

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qdrddr.bsky.social @qdrddr.bsky.social · 11d

Support Volodymyr Pavlyshyn’s work on #knowledgegraph s by purchasing his book: “Temporal Aware #AI #memory: Why time is a key in a memory”

leanpub.com/time-aware-a...

So how do you make an AI agent and conversational agent understand time? How does time shape attention? How is time important for the context engine? You will learn how to add time to knowledge graphs...

leanpub.com

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI to predict the 3D structure of proteins, and it shows promise. Here are the details. more…

Reposted

9to5Mac @9to5mac.com · 16d

Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction

9to5mac.com

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Reposted

Unsloth AI @unsloth.ai · 15d

You can now train OpenAI gpt-oss with Reinforcement Learning in our free notebook!

This notebook automatically creates faster kernels via RL.

Unsloth RL achieves the fastest inference & lowest VRAM vs. any setup - 0 accuracy loss

gpt-oss-20b GRPO Colab: colab.research.google.com/github/unslo...

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Reposted

G.V() - Graph Database IDE @gdotv.bsky.social · Sep 4

New integration alert 📢 📢: G.V() is now officially compatible with @falkordb.bsky.social !
We're bringing in first-class Cypher querying support along with high performance, and fully interactive graph visualization. But that's not everything!

Find out more at gdotv.com/blog/gdotv-s...

G.V() is now compatible with FalkorDB

Descended from RedisGraph technology, FalkorDB is a versatile graph database that excels in multiple use cases. Its powerful GenAI-focused approach is ideal for applications such as GraphRAG, agentic ...

gdotv.com

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qdrddr.bsky.social @qdrddr.bsky.social · 14d

⭐️🔗 GitHub: github.com/gepa-ai/gepa
⭐️🔗 www.databricks.com/blog/buildin...
👉 Discuss with me in Discord: linktr.ee/qdrddr

GitHub - gepa-ai/gepa: Optimize prompts, code, and more with AI-powered Reflective Text Evolution

Optimize prompts, code, and more with AI-powered Reflective Text Evolution - gepa-ai/gepa

GLiNER-PII - a knowledgator Collection

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qdrddr.bsky.social @qdrddr.bsky.social · 14d

🚀 #GEPA: Automatic #Prompt Optimization by @databricksinc.bsky.social: gpt-oss-120b beats Claude Sonnet 4 (+3%) at ~20x lower cost. Completes with DSPy SIMBA/MIPROv2
📜 MIT lic
🔗 Link in first 💬⤵️

Repost 🔁 #AI #LLM #RAG #PromptEngineering #ContextEngineering

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qdrddr.bsky.social @qdrddr.bsky.social · 14d

GLiNER-PII 🔐 — an open-source collection of high-performance models trained for sensitive data detection. 🚀

huggingface.co/collections/...

PII detection models developed in collaboration with Wordcab

huggingface.co