PePO | watermarkero

Que se preocupe mi yo de mañana. Estrictamente personal

[SuSu_酥酥👅 @NFT_Chen]

Gemini模型的落伍与Google的保守顽固密不可分！

其实谷歌早在ChatGPT发布前一年就搞出了LMChat！

前DeepMind成员、现OpenAI的Tibo亲口证实： “我就是那个团队的人。谷歌太紧张不敢发，DeepMind被明确禁止推出任何可能冲击谷歌业务的产品。这件事我到现在还经常想。”

Gemini为什么总是慢半拍？不是技术不行，是公司理念太保守、太顽固——宁愿把伟大的新东西压在内部，也不愿冒险颠覆自己。
创新被杀死在摇篮里，才是最可怕的落伍。

#AI #Gemini #Google #OpenAI #ChatGPT #DeepMind #LMChat #Tibo #人工智能 #大模型

[Dr. Kohan🏛🏛🏛 @kohantoys]

Originalmente los robots balanceaban los brazos como los humanos, pero se dieron cuenta de que los motores de los hombros se recalentaban por el esfuerzo.

Los robots mismos encontraron este estilo, pegando las manos a la cara mientras la balancean para gastar menos energía.

[Miguel Ángel Durán @midudev]

Esto es hermoso. morphicons es una biblioteca que transforma un icono en otro con animaciones fluidas.

Sin dependencias y sólo ~7KB de tamaño.

De código abierto y fácil de usar:
→ https://t.co/6d5RBZTMf2

[Miguel Ángel Durán @midudev]

¡BRUTAL! La Universidad de Harvard ha publicado CS50x doblado al ESPAÑOL.

Uno de los mejores cursos de Introducción a la Ingeniería de Software que existen. Sin coste.

12 clases completas, desde cero, con certificado:
→ https://t.co/7H82kFv3RI

Impartido por el grandísimo David J. Malan.

Te enseñan C, Python, Algoritmos, Python, SQL, JavaScript y mucho más.

[Miguel Ángel Durán @midudev]

¿Quieres que tu web se sienta instantánea?

<script type="speculationrules"> permite prerenderizar la siguiente página ANTES de que el usuario haga click.

Por ejemplo al pasar el ratón por un enlace.
Es un estándar web. Sólo HTML. Sin librerías.

[Nicolas Camara @nickscamara_]

introducing anydoc

now your agents get 100x faster local parsing for pdf, docx, pptx & 10 more formats

- sub-5ms md conversion
- 500 docx files in 1.7s
- top quality across all 13 formats
- rust-based
- open source

already powering @firecrawl /parse

https://t.co/fVsRsYFNyC

[Uncle Bob Martin @unclebobmartin]

I’m significantly older than you. I started coding in the late 60s. My current strategy is to not read any of the code written by my agents. That’s the only way I can take advantage of their productivity. What I do instead is to surround the agents with extreme constraints. Unit tests, gherkin tests, QA procedures, quality metrics, mutation testing, test coverage, and a plethora of others. In the end, I have very high confidence in the code they produce because they’ve had to run the gauntlet of all of my constraints and tests.

[Miguel Ángel Durán @midudev]

¡Deja de usar loaders aburridos para tu app o web!
Este componente lleva tu diseño a otro nivel

✓ Modo claro y oscuro
✓ 6 tipos de loaders distintos
✓ Optimizados para diferentes tamaños

Lo mejor: 0 dependencias

→ https://t.co/afVKqI12bX

[AI_Explorer @ai_explorer25]

Best 15 accounts to follow in AI:

@karpathy
= LLMs king

@steipete
= built openclaw

@gregisenberg
= startup ideas king

@rileybrown
= vibecode king

@jackfriks
= solo apps king

@levelsio
= startups king

@marclou
= startups king

@EXM7777
= AI ops + systems king

@eptwts
= AI money twitter king

@ai_explorer25
= AI queen

@godofprompt
= prompt king

@vasuman
= AI agents king

@AmirMushich
= AI ads king

@0xROAS
= AI UGCs king

@egeberkina
= AI images king

Follow them all and learn.

[PePO | watermarkero @watermarkero]

Clonar voz https://t.co/6lmvPToDnM

[PePO | watermarkero @watermarkero]

The self-improving AI agent
https://t.co/jt8TI5rT5k

[Pamphlets @PamphletsY]

🚨🇦🇷 BREAKING — World Cup:

This is the Most Corrupt World Cup in History.

FIFA has Just Robbed Egypt in Broad Daylight.

[Weaviate AI Database @weaviate_io]

Most developers pick the wrong search method.

We built a demo so you can see exactly why.

Our keyword vs vector search demo in the Weaviate Playground lets you explore and compare all three search types side-by-side on real datasets.

Here's what each search type does:

𝗕𝗠𝟮𝟱 (𝗞𝗲𝘆𝘄𝗼𝗿𝗱 𝗦𝗲𝗮𝗿𝗰𝗵)
• Matches exact words and phrases using TF-IDF-style scoring
• Rarer terms that appear frequently score higher
• Perfect for names, specific phrases, and precise queries
• But... it misses synonyms and related concepts

𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗲𝗮𝗿𝗰𝗵 (𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗮𝗿𝗰𝗵)
• Uses dense embeddings to capture meaning
• "Car" and "automobile" match even without shared words
• Understands context and semantic relationships
• But... can sometimes underweight exact lexical matches

𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵
• Runs both searches in parallel and merges results
• Uses reciprocal rank fusion to combine the best of both
• Gets you strong keyword hits PLUS semantic neighbors
• The best of both worlds for most use cases!

The demo includes multiple datasets - landmarks, movies, science, games, and Pokemon - so you can test queries like "where gladiators used to fight" or "ancient city buried under volcanic ash" and see how each search type performs. Or, simply copy the prompt and try it on your own data!

See the demo here: https://t.co/UmzVxgGggz

[PePO | watermarkero @watermarkero]

A really good chat application for teams and communities
https://t.co/OeGq5KvM2W

[PePO | watermarkero @watermarkero]

TabFM: Tabular Foundation Models

https://t.co/RHXHVnaC5C

[PePO | watermarkero @watermarkero]

The open-source AI workbench for scientific research
https://t.co/QohQmGEm8h

[PePO | watermarkero @watermarkero]

A multi-agent offensive-security framework, built to turn the AI coding agent you already run into a zero-day hunter.
https://t.co/tx9up9kTof

[Meituan LongCat @Meituan_LongCat]

Introducing LongCat-2.0 🐱
1.6T parameters · MoE with ~48B active · 1M context
The full model behind Owl Alpha on @OpenRouter — now available.

Built for agentic coding from the ground up:
◆ LongCat Sparse Attention (LSA) — scales efficiently for 1M-context tokens
◆ Zero-Compute Experts — dynamic activation 33B–56B per token, zero wasted compute
◆ MOPD — three specialized expert groups (Agent / Reasoning / Interaction), gate-routed per task

How it stacks up:
→ Terminal-Bench 2.1: 70.8
→ SWE-bench Pro: 59.5 (GPT-5.5: 58.6)
→ SWE-bench Multilingual: 77.3
→ FORTE: 73.2 · RWSearch: 78.8 · BrowseComp: 79.9

📖 Tech Blog: https://t.co/4KrjyKiDBn
Try it across different scenarios 🧵👇

[Ante @HazFabio]

Hijo de perra que buen video 🥵

[INAOE México @inaoe_mx]

#BoletíndePrensa | Investigadores del INAOE en la lista del ranking internacional de ciencia 2026 |

Nota completa en ⬇
🔗 https://t.co/HLFlIGg9Zh

Lista https://t.co/tr0kwZxyzx ⬇
🔗 https://t.co/dMRXxz9ERq

🔗 https://t.co/fXxffAMplj