feliperibbe

Se você gosta ou estuda inovação, segue um fio com alguns textos que escrevi sobre o assunto, tanto no esporte quanto no setor corporativo em geral. 1. Por que toda organização esportiva deve ter um profissional de inovação? medium.com/renova-inova/p…

Organizations are already superhuman intelligences. The University of Pennsylvania or Walmart or whatever is far more capable than any human. That is why the focus on AIs as individual productivity tools hits a natural limit, many benefits of AI depend on integration with firms.

@patrickc @stripe Hey Patrick! Please, let us test Link Agent in Brazil!!!!

We just announced a large raft of improvements at @Stripe Sessions. My meta reflections: • It feels that the entire economy is replatforming right now. • Many charts at Stripe are inflecting in quite dramatic ways. What GitHub recently reported for commits we are seeing in economic activity (such as new company formations). • It is increasingly clear that agents will be responsible for most transactions in the not overly distant future. • Stripe was always developer-centric, but AI is making developer-centricity strategic in a new way: agents are even hungrier for good DX than developers themselves are. • Things that we’re launching are increasingly network products at heart. (Instant transfers between Stripe businesses, new kinds of fraud prevention with Stripe Radar, stablecoin payouts to anyone with Link.) "How can we turn Stripe's economies of scale into user benefits?" is increasingly the relevant question. • Between Privy, Bridge, Tempo, and Stripe’s core capabilities, we’re now doing a lot in stablecoins/crypto, and companies like DoorDash, Ramp, Meta, and Klarna are using our crypto stack to deploy meaningful new functionality in production. “But where’s the production use?” is rapidly becoming stale when applied to crypto. • After more than a decade of building, we seem to have hit some kind of critical mass of core platform capabilities such that building new things now feels easier and faster than before. (AI also helps.) We announced Stripe Treasury last year (originally called Financial Accounts); since then, we’ve added multi-currency support, global payouts, card issuance and rewards, and a bunch of other sophisticated functionality. By the end of this year, Treasury will support 15 more currencies and be available to businesses in 160 countries. On the launches themselves, a small selection that I thought were cool, though this is really just a subset: • The @Link AI wallet. Point your agent to github.com/stripe/link-cli and ask it to make purchases on your behalf with secure single-use tokens. (To test it, I asked Claude Code to buy a small gift for me yesterday. It purchased HTTPZine on Gumroad.) • New payment methods for Link, including Pix (largest payment method in Brazil) and UPI (largest payment method in India). We’re also adding stablecoin support to Link (which I think will be huge if we execute well). • We’re adding a lot of new Machine Payments Protocol functionality, including micropayment and recurring payment support. • We announced Checkout studio: a sophisticated dashboard for managing your checkout flow, including things like transaction replays and A/B tests. Today this tends to require a lot of fussy edits to production code. • Adaptive Pricing (which automatically localizes the price and currency that customers see) now supports subscriptions. We’ve seen pretty huge (4–5%) conversion rate improvements after enabling it — customers really like paying in their home currency. • New Stripe Terminal reader (the T600) with a customer-facing screen that can run native apps, plus support for 15 new international markets for Stripe Terminal. • General availability for Stripe Managed Payments, our merchant of record solution. (Natively handles tax, disputes, fraud.) Maybe sounds a bit arcane, but it’s one of those iykyk products. It saves a lot of schlep. • Fraud is a *much* bigger priority for customers than it was 2 years ago (AI makes fraud easier + unlike software, tokens can be resold), so we’ve been extending Stripe Radar to support things beyond payments fraud: free trial abuse, multi-account abuse, pay-as-you-go abuse. Early results are extremely positive. We also announced Stripe Signals — new scoring APIs for customers, businesses, and other objects, not just payments on and off Stripe. • Usage-based billing is also becoming the de facto business model of the AI era, and we launched a bunch of new pricing models in @getMetronome and features like low-balance alerts, automatic credit top-ups, and multidimensional pricing structures. • We showed streaming payments built on @Tempo and Metronome — track usage and get paid the instant value is delivered. Hard to predict, but I think this could be big. (Why wouldn’t you want to get paid as costs are incurred?) • We added automatic US tax filing in Stripe Tax. • We announced Stripe Database -- a hosted PostgreSQL database with all of your Stripe data, updated in real time. Read-only to start but we’ll make it read-write. • Stripe Workflows are now GA. • We showed Stripe Console, a full agentic execution environment built directly into the Stripe Dashboard. It’ll happily write code and use tools to answer your questions. • We previewed custom objects: model your business data directly in Stripe, with custom objects, typed fields, and relationships. • As mentioned above, Stripe Treasury accounts will support storage in 15 currencies by the end of the year. And instant/free(!) transfers between US Stripe businesses. • You can use a Stripe card with your Treasury balance and get 2% cash back on purchases. • We’re massively expanding our Global Payouts coverage -- soon 100 countries with fiat rails and 160 with stablecoins. • Atlas companies can now raise money directly within Stripe. • We launched the platform growth studio, which uses Stripe’s network data to generate specific recommendations for optimization/growth. • We announced the Stripe Managed Risk API — platforms can outsource risk handling to Stripe while maintaining full UI/UX control. • Connected accounts now benefit from networked onboarding, which hugely increases conversion rates. • We’re launching Treasury for Platforms. Connected accounts can get spend cards with just a few lines of code. (Plus cash rewards, cash acceptance, check acceptance, real-time payments…) • We announced Issuing for agents: easily create cards for agents. But that’s really just a subset of a subset. (See stripe.com/roadmap for more.) The Stripe team is cooking! And if you’re interested in building the economic infrastructure for this new world, we’re hiring.

Starting to hire and retrain for new agent engineering roles for *internal* functions to help get more powerful agents working well on critical business processes. I expect this type of role to be a very big deal over time at Box and other companies. It looks something like an internal FDE, whose job it is to wire up internal systems and get agents working with them effectively. The person will be extremely technical and capable of building secure, governed agents for internal workflows that connect to business systems (like Box, Salesforce, Workday, etc.), and codify workflows in skills. In some cases this person may understand the business process well enough to do it fully, but in most cases I expect them to work with the business directly in an embedded fashion. Ironically, that may introduce another new role on the business side that is more akin to agent product management for internal processes. The key is that you need technical + process people that can span multiple teams or functions in an organization. It’s not about brining automation to a job, but bringing automation to a process. This is going to be a very big trend in most companies going forward. Fun to watch the early innings of what this will look like.

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msft, goog, meta, & amazon are on track to spend ~$700b on ai infrastructure in 2026. this kinda spending usually happens via govts or wars whereas this time, it’s four companies racing to build the foundational mechanics of agi. kinda insane that the next layer of civilization is being ~entirely privately financed before most govts even understand what’s being built. has this ever happened before?!

GPT2 + Seedance 2.0 → Capoeira Sequence. Testing for more complex choreography. (Full workflow + prompts in thread) PROCESS: + GPT2: Choreography diagram + GPT2: Camera direction diagram + Midjourney: Setting base image + Seedance 2.0 Omni-Ref: Video gen Didn't follow 100%. Probably needs more than a 15s gen.

Histórico!

Novo modelo de imagens do ChatGPT permite que você crie imagens 360º e "navegue" por elas. Abaixo dois exemplos, um de uma perspectiva de dentro de uma garrafa de Corona em uma praia, outro de um Maracanã lotado. Bem maneiro!

@NataliaZarina hahahahahaha

743,000 people just got the best AI of 2024

Isso aqui é muito foda e tenho visto cada vez mais. LLMs treinadas com textos de determinadas épocas, sem contexto atual, permitindo que você "converse com alguém" com a visão de mundo daquela época, sem qualquer tipo de enviesamento dos tempos atuais.

The jump from working with a chatbot to having an agent that actually helps automate a process requires a real amount of work. Most companies will need to have dedicated people that are responsible for bringing automation to their teams, instead of leaving this up to every individual employee. Partly because the work is more technical than we imagine today, and partly because it’s just hard to do this as a side project. The job spec is to map out new workflows with agents, implement new systems to deploy agents, make sure the agent has all the right (up to date) context to work with, wiring up internal systems to connect to the agents, creating evals for the agents, figuring out where the human is in the loop, managing the system when there are new upgrades, helping with the change management of the existing business process, and so on. These jobs may come from IT or engineering, or live directly in the business function itself. They’ll be called different things depending on the company, and in some sense it’s the future of software engineering that you’ll see a huge growth of in non-tech companies. Most companies will have to be hiring for this now or in the future, and it’s another example of the kind of new jobs that will be created in AI.

Every company building on top of AI should be making their own benchmarks. This is the way if you want model progress to disproportionally benefit your company.

@phpessoa Foi menos sobre o River, mais sobre clubes brasileiros.

@RibbeFelipe boa fase, não, né…

Clube com torcida grande, em boa fase, que não consegue lotar estádio em todo jogo precisa repensar a estratégia de matchday. Dá pra fazer, está cheio de exemplos por aí.

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A conta não fecha e não é só pra Anthropic. Em breve todos vão cobrar por uso e largar o modelo de valor fixo para contratos enterprise.

Mini game de corrida, jogável com teclado, construído com GPT 5.5 via Codex app com apenas um prompt simples (create a 3d racing game that I can control with my keyboards, playable, using Three.js). Tempos incríveis!

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n

Hidden use case in the new ChatGPT Images 2.0 model Ask it to make a real QR code - it won't just generate a picture, but will encode a real website No other image model (including NB Pro) seems to be able to do this