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  • AI-Powered Telecom Networks Make Real-Time Decisions at MWC26
    AI-Powered Telecom Networks Make Real-Time Decisions at MWC26

    nitter.net/i/status/2042062207819… Harold Sinnott #MWC26 (@HaroldSinnott) How are networks becoming smarter on their own? At #MWC26, I captured how telecom networks are starting to make real-time decisions based on business needs. 🎥 Watch here: piped.video/qfX7c4I67UE #AI @ericsson #EricssonAmbassador #EricssonMWC @MWCHub @GSMA @tmforumorg @techiemats @OneLinders via @YouTube — https://nitter.net/HaroldSinnott/status/2042062207819669647#m

    → View original post on X — @haroldsinnott, 2026-04-09 18:20 UTC

  • Perplexity Computer Launches Financial AI Rivaling Bloomberg Terminal

    A Bloomberg Terminal costs $30,000/yr and still can't do a fraction of what Perplexity Computer just launched today 💻 It now connects directly to your bank accounts, credit cards, loans, and brokerage accounts through Plaid. Your full financial picture, from monthly spending to net worth to individual stock positions, sitting on top of 40+ live finance data sources including SEC filings, FactSet, S&P Global, and Coinbase. Every dollar you earn, spend, owe, and invest, cross-referenced against institutional-grade data in real time. You can walk up to this thing and say: → Run a risk analysis on my portfolio against the current tariff environment → Show me where my spending spiked last month and what's driving it → Build a net worth dashboard that tracks everything in one place → Flag any holdings that overlap with what insiders have been selling this quarter And it just does it. Pulls from your linked accounts, cross-references SEC filings, builds the output, and delivers a finished product. The system running underneath is Perplexity Computer. It orchestrates 19 models simultaneously, breaks any goal into subtasks, spins up specialized agents for each one, and keeps working after you walk away. One model handles the reasoning. Another does the research. Another writes the code. Another builds the visualization. All coordinated automatically. Last month they launched with brokerage data only and someone built a Bloomberg Terminal clone in a single afternoon. That post did 7.5 million views. Now they've expanded to your entire financial life: checking, savings, credit cards, loans, and investments all in one place. Wall Street pays $30K a year for a terminal with 30,000 function commands built over four decades. It won't replace Bloomberg for institutional traders executing billion-dollar orders. But for everyone else, the gap just got a lot smaller. Perplexity (@perplexity_ai) Computer now connects with Plaid to link bank accounts, credit cards, and loans. Track spending in detail, build custom budget tools, and visualize your net worth alongside your investment portfolio. — https://nitter.net/perplexity_ai/status/2042256932397019368#m

    → View original post on X — @aravsrinivas, 2026-04-09 18:01 UTC

  • SambaNova’s SN50 RDU: Fifth-Gen Inference Processor for Agentic AI
    SambaNova’s SN50 RDU: Fifth-Gen Inference Processor for Agentic AI

    What is the SN50 RDU? It’s SambaNova’s 5th-gen inference processor—built for agentic AI. Instead of moving data around (slow + expensive), it uses dataflow + 3-tier memory to keep compute where it belongs. Result: Faster inference Lower latency Better efficiency

    → View original post on X — @sambanovaai

  • OpenAI Launches New Pro Tier at $100/Month for Codex

    We're going all in to help builders do even more with Codex. nitter.net/OpenAI/status/20422956… OpenAI (@OpenAI) We're updating our ChatGPT Pro and Plus subscriptions to better support the growing use of Codex. We're introducing a new $100/month Pro tier. This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions. In ChatGPT, this new Pro tier still offers access to all Pro features, including the exclusive Pro model and unlimited access to Instant and Thinking models. To celebrate the launch, we're increasing Codex usage for a limited time through May 31st so that Pro $100 subscribers get up to 10x usage of ChatGPT Plus on Codex to build your most ambitious ideas. https://nitter.net/OpenAI/status/2042295688323875316#m [Translated from EN to English]

    → View original post on X — @ceobillionaire, 2026-04-09 17:51 UTC

  • RAG is an Ecosystem: Building Modular Production-Grade Systems
    RAG is an Ecosystem: Building Modular Production-Grade Systems

    This is one of the cleanest visual summaries of a production-grade RAG (Retrieval-Augmented Generation) stack I’ve seen. What it highlights clearly is an often-ignored reality: RAG is not a single tool — it’s an ecosystem. A solid RAG system spans multiple, interchangeable layers: LLMs (open & closed): Llama, Mistral, Qwen, DeepSeek, OpenAI, Claude, Gemini Frameworks: LangChain, LlamaIndex, Haystack — orchestration is the real differentiator Vector databases: Chroma, Pinecone, Qdrant, Weaviate, Milvus Data extraction: Web crawling, document parsing, structured ingestion Embeddings: Open (BGE, SBERT, Nomic) vs proprietary (OpenAI, Cohere, Google) Evaluation: RAGAS, TruLens, Giskard — because “it sounds right” is not a metric Key takeaway for leaders and builders: RAG success is less about which model you choose and more about: data quality retrieval strategy chunking & indexing evaluation loops cost / latency trade-offs This is why mature AI teams design modular stacks, not one-vendor pipelines. RAG is no longer experimental. It’s becoming foundational infrastructure for enterprise AI. #RAG #AgenticAI #EnterpriseAI #LLMs #AIArchitecture #GenAI #DataEngineering X (Twitter) RAG isn’t a tool. It’s a stack. LLMs Frameworks Vector DBs Embeddings Extraction Evaluation Winning teams design modular RAG systems — not single-vendor pipelines. This is how enterprise AI actually scales.

    → View original post on X — @ingliguori, 2026-04-09 17:25 UTC

  • Optimal timing for maximum AI intervention impact

    How do you determine the optimal intervention point for maximum benefit?

    → View original post on X — @fogoros

  • Enable Cloud Agents Feature for Pull Requests in Cursor Dashboard

    Enable this feature in the Cursor dashboard: http://
    cursor.com/dashboard/clou
    d-agents#my-pull-requests
    …

    → View original post on X — @cursor_ai

  • IIoT Machine Health Statistics Drive Production Revenue Growth

    To see the true value of IIoT, look at the revenue. Sundeep Ahluwalia, CPO at TDK SensEI, notes that providing customers with machine health statistics allows them to fix assets before they fail, keeping production healthy and consistent. Partner content with TDK. #tdk_iiot

    → View original post on X — @fogoros

  • Alteryx One AWS enables governed cloud data access faster decisions
    Alteryx One AWS enables governed cloud data access faster decisions

    You’ve invested in @awscloud for a reason—but if answers still require tickets or handoffs, value stalls. Alteryx One on AWS gives teams direct, governed access to cloud data. No heavy lift. Just faster decisions. Start free: https://
    ow.ly/IkVs50YGF9u

    → View original post on X — @alteryx

  • Moving AI from pilot to production: Domino Data Lab insights
    Moving AI from pilot to production: Domino Data Lab insights

    .
    @DominoDataLab CEO and co-founder Nick Elprin joined the @Bloomberg Tech Disruptors podcast to talk about what moving out of AI pilot purgatory actually looks like. https://
    hubs.ly/Q04bd6Rt0 Catch us at #Rev26 events across North America and Europe: https://
    hubs.ly/Q04bdc290

    → View original post on X — @dominodatalab