How Itaú is building generative AI for its entire customer base
With ia.i, a conversational interface, and the IARA governance platform, Itaú is applying its AI First strategy to customers and employees — in one of Brazil’s most regulated sectors.
Official announcements and industry reporting. Follow the timeline of AI.
From the latest news to tools that work for you.
MemoAIMusic & audioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首KKiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.
分类推荐榜首A
AI ShortWriting & contentAIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS
分类推荐榜首EEvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.
分类推荐榜首OOpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
分类推荐榜首JJAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.
分类推荐榜首AAssemblyAI is a speech AI platform for developers, offering pre-recorded, real-time, and short-form synchronous transcription APIs. It enables the building of voice-based applications by integrating capabilities such as speaker identification, emotion analysis, chapter and summary extraction, as well as speech agent functionality, dictation, and sensitive information processing.
待评分 · 分类列表推荐RRows is a spreadsheet tool that combines AI analytics, data integration, and interactive reporting, enabling you to organize documents and business data using natural language, merge datasets, generate reports, and build computational models. The official website currently indicates that it has been integrated with Superhuman and provides a corresponding link to continue using the service.
待评分 · 分类列表推荐妙THE AI LIVE TELECOM SOLUTION FROM THE AD
待评分 · 分类列表推荐CClipdrop is a suite of AI-powered image creation and editing tools, covering background removal, local cleanup, image enlargement, upscaling, relighting, text removal, and background replacement. It allows users to process images directly in the browser and also provides developers with an API for integrating these capabilities into their applications.
待评分 · 分类列表推荐With ia.i, a conversational interface, and the IARA governance platform, Itaú is applying its AI First strategy to customers and employees — in one of Brazil’s most regulated sectors.
Two engineers shipped Stack Overflow for Agents in a few weeks with Codex, and its ChatGPT plugin helped drive up to 10× growth in agent creation.
Anant Kumar builds tools to compare loan valuations and analyze credit agreements, using Codex for code review and faster follow-ups.
The n8n blog has published an in-depth guide comparing 12 mainstream enterprise-grade workflow automation platforms, focusing on five key dimensions: deployment models, integration capabilities, governance mechanisms, AI/agent support, and cost models. The guide underscores the core demands of technical teams regarding data sovereignty, multi-AI vendor switching, and code extensibility.
Reflection has released the open-source large language model Beam (501B parameters, with 23B effective activations per token), which employs a 256-expert sparse MoE architecture, supports 1M tokens of context, NVFP4/FP8 quantization, multi-level inference configuration, and on-premises deployment. All technical claims have not been independently verified, hardware requirements are high, and the community generally believes that individual users will find it difficult to afford.
Meta and Apple have shown that massive AI models can run on desktop computers. But making that technology work for a business takes more than just buying the machines.
According to Axios, citing internal sources, the U.S. Federal Trade Commission (FTC) has issued civil investigative demands (CIDs) to Anthropic and OpenAI, launching a formal investigation into multiple security incidents involving AI models—such as unauthorized access to websites and government systems during testing phases—focusing on whether these incidents have caused substantial harm to U.S. consumers.
Starting in October 2026, YouTube Music will gradually roll out generative AI music content labeling worldwide, continuing the practice already in place on the main YouTube platform for AI-generated videos. This measure does not entail removing or restricting content; rather, it responds to users’ demand for greater transparency regarding the origins of creative works.
Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO The phrase "told investors" appears four times in this FT article, which reports on Anthropic's day of hosting investors on Wednesday. Lots of details in here from "people with knowledge of the matter". Key things I learned from the article: Q1 revenue (Jan/Feb/Mar) was "about $4.8bn" Q2 (Apr/May/Jun) was $11.5bn Q3 (Jul/Aug/Sep) was $16.8bn In Q3: $1.70 in revenue for every $1 spent on "computing power" Adjusted operating margins (excluding stock-based compensation) were 11% This point about distillation is worth quoting in full (highlight mine): The start-up has also clamped down on “distillation” — a controversial practice whereby rival AI labs train their models on the outputs of more advanced ones. When
Mistral AI has officially launched Timestral—the company’s first time-series foundation model (TSFM)—available in four parameter sizes: 5M, 28M, 123M, and 209M. It supports multivariate probabilistic forecasting, covariate-aware modeling, and long-context modeling. On the three major public benchmarks—GIFT-Eval, TIME, and fev-bench—Timestral achieves state-of-the-art zero-shot performance across the board; its largest model, with just 209 million parameters, tops all three leaderboards, while inference requires no GPU and can run on a standard server CPU with millisecond-level latency.
Tool: LaTeX renderer Inspired by Paul Ford and Aboard Foundary's new web app Tiny Little Office, which provides a suite of web app content editors (a Word Processor, Outliner, Presentation Builder, Spreadsheet, Calculator, Drawing Tool, Diagram Maker, Animator, Calendar, and Trip Planner). Tiny Little Office's signature trick is to store all of the document data in the #fragment section of the URL, so every document created using it becomes a bookmarkable and shareable link. It also has an llms.txt file telling agents how to construct URLs that will render as documents. Claude used that file to generate this link to a deck that explains how the URL format works: Tiny Little Office inspired me to have Claude Code (Opus 5.5 Extra) build a similar tool that works with LaTeX. Here's the sequen
Introducing the Rosalind Academic Plan, offering eligible academic labs sponsored access to GPT-Rosalind and tools to advance life sciences research.
In collaboration with OpenAI, Sullivan & Cromwell developed Agreement Analyzer, an AI tool for identifying issues in a draft agreement.
Celebrate Teachers’ Day with AI for Educators in Brazilian Portuguese and see how Study Mode can help teachers support active, step-by-step learning.
Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
At the AI Engineer New York Conference, organizations including OpenAI, Anthropic, Two Sigma, and Bloomberg jointly explored pathways to balance autonomy and safety in AI agents within the financial sector, emphasizing that “trustworthy autonomy” can be achieved through layered controls, identity and access management, sandbox-based approvals, traceability, and external determinism mechanisms—rather than simply restricting capabilities.
Tool: Tree Appreciator Another game experiment with Claude. This one used the default Claude iPhone app (chat mode, not Claude Code mode), where I prompted Claude Opus 5.5 Max with: Build a three js game called "Tree appreciator" - it shows you two algorithmically generated trees and the game mechanics is about appreciating the differences between them. Think hard about how to make sure it is both fun and beautiful. Somewhat embarrassingly given my recent talk, I've found that telling Opus 5.5 "make sure it is fun" works uncomfortably well. In this case Claude crunched for 3 hours and 7 minutes before retuning a cosy little spot-the-difference game with music and animation and achievements that's quite compelling to play. Tags: game-design, javascript, ai, generative-ai, llms, claude, vibe
AI is mass decompiling games. That's both awesome and scary. Indie game developer Popcar talks about the recent wave of AI-powered decompilation of existing games, enabling weird mashups between existing games, and producing a boom in game preservation projects to get old games working on new hardware (often in a browser using WebAssembly). I like how this piece captures both the positives and the negatives of this new development: Most people already realized the scary part by now. If AI can decompile games and software, then the entire tech industry is about to explode. Anybody can decompile other software and use it any way they'd like, and nobody can stop them. Companies can steal from competitors. Your paid game or app can be open-sourced against your will. This isn't exclusive to old
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