@Manz Está muy bien a esos 120tps yo alcanzo con ese mismo 20tps tengo un m3max tenes alguna configuración o tenes bastante hardware?
Me va bien con agentes pi, opencode, y estoy probando el ornith 35b me va a 70tps y consume mucho menos recursos tiene buena pinta!
Apple ha sacado su propio “Docker” nativo y oficial.
Permite ejecutar contenedores Linux en máquinas virtuales ligeras en macOS.
✓ Compatible con imágenes OCI de Docker Hub
✓ Optimizado para Apple Silicon
✓ Escrito en Swift
→ https://t.co/aMpuOfDQgN
@FaztTech Oye, se ve brutal. Justo andaba buscando algo nativo para la terminal que no me consumiera media RAM como otras herramientas. ¿Qué tal gestiona el contexto en proyectos medianos/grandes? Por ese precio dan ganas de meterle mano hoy mismo.
Los textos con IA se notan a leguas, y no es por la calidad.
Es porque tienen las mismas muletillas, ritmos y estructuras que todos los modelos repiten sin parar (pq fueron entrenados más o menos con las mismas fuentes).
Este skill para Claude las detecta y las elimina una por una:
- Corta las aperturas cliché
- Elimina adverbios y frases de relleno
- Rompe la voz pasiva y las estructuras predecibles
- Obliga a escribir directo, específico y con ritmo humano
REPOOO👇
Why is the creator of OpenCode pretty skeptical about AI productivity gains, and the hype around AI? A very conversation @thdxr (and lots of truth bombs:)
Timestamps:
00:00 Intro
07:03 Dax’s path into tech
09:04 Early startup experience
13:16 Getting involved with open source
16:13 OpenCode
23:17 Anthropic banning OpenCode
30:34 From terminal to GUI
32:34 OpenCode’s business model
36:33 Why inference is profitable
39:11 GPU bottlenecks
40:54 AI hype
45:50 AI spending
48:47 Dax’s memo
55:41 Dax’s skepticism of predictions
58:58 Engineering culture at OpenCode
1:02:38 How building works at OpenCode
1:05:36 Taste and quality
1:11:32 Dax’s work setup
1:12:35 The role of engineers and EMs
1:15:50 Advice for engineers
1:18:12 Book recommendation
Brought to you by:
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• @WorkOS – everything you need to make your app enterprise ready https://t.co/aiAee0oF5h
• @turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable https://t.co/w9y67Gs8ab
Three interesting thoughts from Dax:
1. No AI-native coding agent company is “winning” by being better with AI.
Dax says that none of OpenCode’s competitors are crushing them, and that nobody is using AI so well that others cannot compete.
2. Most software engineers profit from AI as time gained, not increased output — unless you change incentives!
Dax says the natural way for software engineers to “cash out” their AI tooling gains is with time savings, by doing the same work as before, but faster. Until compensation and motivation structures change, most teams should expect output to stay flat while engineers go home earlier. There’s nothing wrong with this, but AI vendors sell a different outcome to CFOs: increased output.
3. AI code generation mutes the “guilt” of doing the wrong thing, but this builds up tech debt.
Pre-AI, writing a hack felt bad, the second time it felt really bad, and by the third time you’d often just refactor in order to fix up the code. Now, the agent hides the hack, which skews devs’ judgment and results in less tech debt being cleaned up.
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𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
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4. Claude,Chatgpt,Grok
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Like + RT + comment ' Drive '
Must Follow me so I can DM you.
Claude ya no "ayuda" a buscar bugs.
Ahora los caza como un red teamer senior.
51 skills + 15 comandos con 574+ patrones reales extraídos de reportes disclosed de HackerOne.
Perfecto para bug bounty, red team externo o para subir seriamente tu nivel de hunting con IA.
REPOOO👇
Dejar VS Code después de tanto tiempo dolió, pero aposté por Antigravity desde el día uno. Hoy, con la nueva actualización, siento que nos acaban de quitar la única capa que tenemos los devs frente al resto. No todo necesita ser simplificado al extremo. 🫠💻 #antigravity#google