Eduardo Machado

Diretor na Pos & Office.

[Eduardo Machado @emachado0910]

@coreyganim Great story, thanks for sharing!

[Eduardo Machado @emachado0910]

@analogalok Thanks for the sharp explanation!

[Eduardo Machado @emachado0910]

@PawelHuryn Agree

[Eduardo Machado @emachado0910]

Esto es otro problema más de seguridad vinculado a los modelos LLMs cerrados. El camino para la seguridad de tu empresa y tus datos es instalar tus propios modelos y post-entrenarlos con tus datos, para que nunca salgan de tu empresa y puedas utilizar IA sin costos por uso.

[CyberSatoshi 𓆙 @XBToshi]

the absolute state of ai dev tools. grok build is silently dumping 12gb of untouched repo data and full git commit histories to gcp just to autocomplete a script. they don't want to help you build, they are just treating local dev environments like an open buffet for training data. if you run this on a sensitive stack, your entire repo is already compromised regardless if it's public or not. literal spyware.

shipping source code to the cloud is bad enough. blindly inhaling .env.local and .dev.vars in a background sync is absolute negligence. they are vacuuming up your raw api keys, database credentials, and private nodes directly to gcp just to power an autocomplete model.

a massive credential breach disguised as a dev tool. if you ran this locally, your private keys are now sitting on a remote server. consider every secret burned, treat your bare metal as completely compromised, and rotate your entire stack immediately.

@elonmusk, your users deserve a serious explanation!

[Eduardo Machado @emachado0910]

@juliankissa I agree with most of the points. Maybe some more years but this is the path with the AI.

[Eduardo Machado @emachado0910]

Esto es súper interesante, pocas personas son concientes de los avances actuales y adónde nos dirigimos con la inteligencia artificial.

[Julian Issa @juliankissa]

"Every country will be run by AI within 30 years, 40 at most."

Emad Mostaque (.@EMostaque), founder of @StabilityAI, believes NO ONE is ready for what's coming.

His 8 predictions on how the world changes in the next few decades:

1) AI will cure most diseases within 10 years

[Eduardo Machado @emachado0910]

@jun_song Esta velocidad que vemos quienes estamos por dentro, el 99% no son capaces de advertirlo. La mayoría quiere aprender a usar algunas herramientas y mejorar su trabajo, pero no saben el alcance real de la IA actualmente. Esas personas seguirán igual que ahora a su ritmo.

[Eduardo Machado @emachado0910]

Estoy convencido que proyectos de IA que realmente generen ganancias reales de productividad y dinero a las empresas deben comenzar por una consultoría profunda de procesos. La base debe estar optimizada para que la IA pueda ayudar a empresas a obtener beneficios tangibles.

[Luke Pierce @lukepierceops]

This headline is a preview of the next 5 years of AI consulting.

We just wrapped this exact playbook for a warehousing technology client. 130,000 lines of code, 41 screens, 50 database tables. One system running their entire operation.

It runs all 450 of their active projects in one place. The AI reads inbound receipts, estimates, and invoices and structures the data automatically. SOWs that took an afternoon now generate in one click. Billing runs three rate models on its own, and 28 background automations handle the reminders, emails, and documents nobody should be doing manually. And more, but that's the gist.

How it's done:

1. Map every workflow across the company. That means meeting with the team members actually doing the work, not just leadership.
2. Cut the processes that shouldn't exist. (this does NOT mean firing people)
3. Wireframe the entire build. How everything moves, before a line of code gets written or an automation built.
4. Build it, consolidating everything into one operating system.
5. Layer AI and automation on top of the clean foundation.

Steps 1 through 3 never change. Steps 4 and 5 depend on what's already there. If a company has a clean ERP or software setup, you build on top of it as long as keeping it costs less than replacing it. Just depends on the situation.

Starbucks needs a 9-figure budget and years. A mid-market company can do this in a quarter. The opportunity is being the one who builds it.

[Eduardo Machado @emachado0910]

Esto es un escándalo. Debemos independizarnos de empresas como Open AI, Meta o Anthropic, que solo buscan su beneficio sin importar el como. Nvidia, XAi y algunos modelos abiertos de China son una gran alternativa para desarrollar tus proyectos y tareas diarias.

[Aakash Gupta @aakashgupta]

Apple just sued OpenAI, and the wildest part is how they got caught: one candidate screenshotted confidential Apple files on his Apple work laptop hours before his OpenAI interview. Apple reads its own server logs. The recruiting pipeline generated its own evidence trail.

The complaint says OpenAI's hardware chief Tang Tan, a 24-year Apple veteran, directed candidates still employed at Apple to bring "actual parts" (batteries, logic boards) to interviews for show and tell sessions. One candidate was surprised, saying he didn't even know you could take those out of the office.

Apple also alleges Tan circulated an internal Apple offboarding document to coach new hires on dodging exit security checks, and that a departing engineer kept his Apple laptop, found a bug that still gave him access to Apple's cloud storage, and downloaded dozens of confidential hardware files after joining OpenAI.

Then the supplier: OpenAI allegedly got one of Apple's manufacturing partners to demonstrate a proprietary metal finishing technique by letting the partner believe Apple had approved it.

Over 400 former Apple employees now work at OpenAI. Apple says it flagged all of this to OpenAI in February and never got a response. Five months later, it filed.

The ask reveals the strategy. Apple wants an injunction barring OpenAI from using the secrets, the return of every file, and full discovery into io, right as OpenAI preps its first device launch and an IPO. If a judge grants it, OpenAI may have to prove the device was built clean, component by component, before it ships.

The device was supposed to run on the world's best hardware talent. Now its bill of materials is evidence.

[Eduardo Machado @emachado0910]

Sin dudas que nuestros datos y nuestros proyectos alimentan a sus propios modelos, mientras no filtremos lo que compartimos con Open AI y Anthropic, ellos aprenden con nosotros. La IA local y pesos abiertos es la solución.

[X Freeze @XFreeze]

Jason Calacanis gives a brutal warning to every developer:

“If I were any kind of developer, I would never work with Sam Altman and OpenAI

This is a warning for anybody dumb enough to use Sam Altman’s OpenAI API. Sam is incredibly savvy and wants every bit of revenue from the ecosystem - he’s going to study how you’re using the API

Sam Altman comes from the Zuckerberg school of business: give people access to your tools, study them, and, like the Borg, steal every innovation they create. Exactly like Bill Gates did at Microsoft”

[Eduardo Machado @emachado0910]

Este tipo de pruebas demuestra que los modelos están cada vez más próximos en resultados reales, no benchmarks inaplicables e inentendibles. Voy a probar Grok 4.5!

[atomic.chat @atomic_chat_hq]

Grok 4.5 performed GPT Sol level for free!

We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos

Prompts:
-robot deathmatch, Tombstone vs Minotaur
-a hydraulic press flattening stuff on a conveyor
-a semi truck jumping a canyon

Outputs:
GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min)
Grok 4.5: 10.8K tokens, $0 (~5 min)
Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min)
GLM 5.2: 10.9K tokens, $0.02 (~12 min)

Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

[Eduardo Machado @emachado0910]

La IA de pesos abiertos es muy importante para todos, especialmente para quienes vivimos en los países que están fuera de esta carrera entre USA y China.

[Deirdre Bosa @dee_bosa]

“It is in America’s interest to actually support open source"
- @AravSrinivas when I asked him yesterday about Washington’s fear of Chinese open AI models

His view: Nvidia/Nemotron can help close the gap, but the US should support open weights because affordability is what lets businesses use AI.

[Eduardo Machado @emachado0910]

@jun_song Coincido con tu punto de vista, cada día que trabajamos usando suscripciones o APIs de terceros estamos entrenando sus modelos y exponiendo nuestros proyectos. IA local post entrenada, donde los datos más sensibles estén, modelos de frontera para generar proyectos estratégicos.

[Eduardo Machado @emachado0910]

Absolutamente de acuerdo.

[Aravind Srinivas @AravSrinivas]

Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt optimization. This is the future. Simple reason: tacit knowledge about the domain and customers and their workflows that the company uniquely understands and has built trust around.

[Eduardo Machado @emachado0910]

Hoy se lanza oficialmente ChatGPT 5.6 y estamos a la espera en Brasil. Según los comentarios de varias personas que lo probaron antes del lanzamiento, se espera un gran salto en capacidad del modelo.

[OpenAI @OpenAI]

GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday.

We’re expanding preview access globally now.

[Eduardo Machado @emachado0910]

@joshwoodward @GeminiApp Analizar imágenes, mismo en cuenta de pago el modelo no tiene capacidad de analizar las imágenes como capturas de pantalla, que auxilian en la explicación de la tarea. Lo peor es que miente al decir que si lo está haciendo.

[Eduardo Machado @emachado0910]

EE.UU. y China están cerrando las puertas de sus modelos de frontera. El código abierto era solo una estrategia para los que iban detrás; ahora que compiten arriba, quieren el control. Descarga y corre tu IA local antes de que cierren el grifo. Tu soberanía está en tu disco.

[Eduardo Machado @emachado0910]

@rohanpaul_ai Cursor, Sigma, Pharmaceuticals, any interesting industry using Claude is on risk...

[Eduardo Machado @emachado0910]

Esto es exactamente el motivo por el que no puedes confiar en Antrophic! No importa si eres un solopreneur o una empresa importante...

[Milk Road AI @MilkRoadAI]

Anthropic is running the oldest predatory playbook in Big Tech (Save this).

Here is what actually happened.

Anthropic's own Chief Product Officer, Mike Krieger, was sitting on Figma's board and he resigned on April 14, 2026.

Three days later, Anthropic launched Claude Design, a direct competitor to Figma's core product that allows users to generate prototypes, slide decks, and visual assets through conversation.

Figma's stock dropped 7% the day of the launch and the stock has shed approximately 80% from its all-time high, erasing nearly $50 billion in market cap.

Anthropic's valuation surged toward $800 billion in the same period.

This is not an accident but rather a deliberate, systematic strategy and once you see the pattern, you cannot unsee it.

Anthropic watched Cursor build the coding assistant category on top of Claude's models, Cursor became one of Anthropic's biggest customers.

Cursor's usage patterns and product insights flowed through Anthropic's infrastructure every single day then Anthropic launched Claude Code, entering the exact category Cursor had created armed with every data point it needed to know the market size, the use cases, and the user behavior.

The same pattern has now repeated across Claude Science, Claude Security, Claude Legal, and Claude Financial, every single one a vertical that was previously served by companies building on top of Anthropic's own models.

The companies that trusted Anthropic's platform were simultaneously handing Anthropic the product roadmap for what to build next.

Every company currently building on top of a closed frontier model is in the same position Figma was in before April 14, 2026.

The only question is which category Anthropic targets next. @DavidSacks

[Eduardo Machado @emachado0910]

@PabloEvans0 Estoy de acuerdo, en mi caso solo lo consumo por el momento pero estoy trabajando en desarrollo de soluciones que integran IA. Estimo que un siguiente paso natural será en algún momento próximo de fines de este año o comienzos del próximo, comenzar a desarrollar contenido.