Raul Garrido

I love goodness and intelligence. I'm pragmatic, very focused, and always learning.

[kanav @kanavtwt]

Day 1 of vibecoding

[Raul Garrido @happybydefault]

@Anora201 @DaizyZeeX That's my favorite one so far. I always intend to try other flavors but I don't go to Cheesecake Factory enough, so I always end up getting that one haha.

[Raul Garrido @happybydefault]

@skg34me @DaizyZeeX They took away my beloved Bistro Shrimp Pasta 😭

[Raul Garrido @happybydefault]

@panthurrrr @XushoWolf First time I see this type of rice.

I just researched about it and got my first 5 lbs from Amazon -- the same kind you posted.

Maybe you should have shared an affiliate link haha. Thanks!

[Not the bot you’re looking for ♪┌|∵|┘♪ @squeenny]

@worthitorwoke Because it shows that the few at the top fear the power of the many they oppress?

[Raul Garrido @happybydefault]

@datacurve @winkey_h What provider did you use to run the benchmark?

[2Loopy @quantop__]

@thecaptain_nemo Grifters always find a way to parasitise value.

Clear top signal when they break in a startup/company/anything really.

[Z.ai @Zai_org]

Introducing GLM-5.2: Frontier Intelligence, Open Weights

- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
- MIT-licensed open weights
- Same API pricing as GLM-5.1

Tech Blog: https://t.co/LAsxUdN0JZ
Weights: https://t.co/g0A1C4UWx4
API: https://t.co/Kc3E22cbN7
Coding Plan: https://t.co/Nk8Y98HNhU
Chat: https://t.co/WCqWT0qCQb

[Raul Garrido @happybydefault]

@dcommini @AtlantisTLE Don't forget Tarzan!

[Nex @NexEcosystem]

📢 Nex-N2 is here!
A family of agentic models that doesn't just think, it acts!
Coding, search, tool use. All fused into a single agentic reasoning loop.

- Adaptive Thinking, auto-scales reasoning depth per step. Saves ~20% tokens, zero performance loss.
- Coherent Thinking, one thinking paradigm across search, coding, and tool use. No more fragile mode-switching.

🏆 Result: Tier-1 open-source performance on SWE-bench, Terminal-Bench, GDPval, and more, tracking GPT-5.5 and Opus 4.7.

🎉 Open-weight. Try it now.
🔗 https://t.co/7oLSfyOCxB
📦 https://t.co/c2CGhXWaz6
https://t.co/KJYXZIpk8M
https://t.co/vcjdZ9cuB6

[Zyphra @ZyphraAI]

Today we're releasing ZONOS2, our next-generation real-time TTS model with high-fidelity voice cloning.

ZONOS2 is the most expressive open-source TTS model, released under Apache 2.0 and available on Zyphra Cloud on @AMD. 🧵

[PaddlePaddle @PaddlePaddle]

🚀PP-OCRv6 is officially released！

🔥PaddleOCR’s new OCR model series scales from 1.5M to 34.5M parameters, bringing stronger accuracy, faster inference, and broader deployment options — from browsers and edge devices to servers.

📊What’s new:
🔸Tiny / Small / Medium models: 1.5M, 7.7M, 34.5M params
🔸+4.9% detection accuracy and +5.1% recognition accuracy over PP-OCRv5
🔸Up to 5.2× faster CPU inference with OpenVINO
🔸50 languages in one unified model
🔸New scenarios: PCB, CAD drawings, digital tubes, dot-matrix text
🔸Apache 2.0 open source

✨Lightweight OCR, built for the AI data era.

🔗Try it:
🌐 https://t.co/qf6cyafiqY
💻 https://t.co/oNOfB6hbSY
🤗https://t.co/ZwKUuz2n3P

#PaddlePaddle #PaddleOCR #OCR #AI #ComputerVision #OpenSource #EdgeAI

[MiniMax (official) @MiniMax_AI]

MiniMax M3, Open-Weight, Now On Hugging Face , with only ~428B parameters and ~23B activated parameters

Weights:
https://t.co/g4Ybfa2kWH
MiniMax Sparse Attention:
https://t.co/HcTlWRotG3

[Kimi.ai @Kimi_Moonshot]

🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced!

🔷 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.
🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6.
🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates.

⚡️ 6x High-Speed Mode coming soon!
🔌 Available today via Kimi API and Kimi Code.

🔗 Kimi Code: https://t.co/uvoSJKyGCY
🔗 API: https://t.co/EOZkbOwCN4

[John Scott-Railton @jsrailton]

NEW: malware developers added nuclear & biological weapons text to to their spyware.

Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner.

Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky.

When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit.

We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted.

In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation.

H/T to colleagues that shared this with me https://t.co/f3Aj9TYxU4

[bayes @bayeslord]

They didn’t mean pause AI research, they meant pause *your* AI research

[StepFun @StepFun_ai]

⚡️ Step 3.7 Flash is here: The new frontier is agent efficiency.

#1 ClawEval-1.1 (67.1), #1 SimpleVQA Search (79.2), #2 SWE-PRO (56.3), 95.3 on V* Python. Open weights under Apache 2.0.

Built for agentic, coding, search, and multimodal workflows — balancing speed, cost, and reliable execution.

- 400 TPS. 198B sparse MoE, ~11B active. 256K context, 3 reasoning levels.
- Understands UIs, charts, docs, images — then writes code or calls tools to act on what it sees.
- Web + visual search reaches further: more sources, deeper follow-up.
- Reliable tool use — less drift, fewer broken toolcalls. 98%+ on τ²-bench across all difficulty levels.
- Works with Claude Code, KiloCode, Hermes Agent, OpenClaw, and protocols like MCP.
- Runs locally on Mac Studio M4 Max, DGX Spark, AMD AI Max+ 395.

GitHub: https://t.co/kqlZkVIRHv
HuggingFace: https://t.co/qqceCrgPiw
GGUF: https://t.co/rR6XrnymWG
ModelScope: https://t.co/wney6Tzvqy
API: https://t.co/RvHWzRG7Fu
Blog: https://t.co/BxDiajiQ5G

[Oukham @OPteemyst]

@elonmusk Truth requires it

[Raul Garrido @happybydefault]

@TheeKidShawn @Pirat_Nation *XBOX

[Raul Garrido @happybydefault]

@bonchieredstate What about Intel?