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  • SureThing 2.0: World’s First General AI Agency Launch

    Today we're launching SureThing 2.0 – the world's first General AI Agency. You've found skills you've wanted to use for months but never knew how. Now paste the link – it becomes a proactive employee with a real GUI dashboard and live memory. Not a chatbot. Not a terminal. An entire team that runs your business: your AI COO, CMO, CXO, and Researcher — one brain, zero silos. SaaS is dead. GUI isn't. Try it → surething.io

    → View original post on X — @aihighlight, 2026-04-06 15:53 UTC

  • SMBs Using AI to Fill Expertise Gaps – Forbes
    SMBs Using AI to Fill Expertise Gaps – Forbes

    How SMBs can use AI to fill gaps in expertise… By Brian Chess via @ForbesTechCncl & Oracle NetSuite… forbes.com/councils/forbeste… @BetaMoroney @Nicochan33 @enilev @mvollmer1 @mikeflache @antgrasso @FrRonconi @ramonvidall @baski_LA @AkwyZ @Khulood_Almani @sijlalhussain @PawlowskiMario @pierrepinna @sonu_monika @efipm @mvollmer1 @sallyeaves @NevilleGaunt @Corix_JC @enricomolinari @Shi4Tech @wcrpaul @RagusoSergio @RLDI_Lamy @NigelTozer @EstelaMandela @JagersbergKnut @DrFerdowsi @PerBBerggreen @sir4K_zen @AmitChampaneri1 @FmFrancoise @MasterofIoT @dcallahan2 @globaliqx @HLStockenstrom @TheAdityaPatro @ILoveBooks786 @Hana_ElSayyed @CurieuxExplorer @HaroldSinnott @MikeNashTech @SegundoConnect @pchamard @trudydarwin

    → View original post on X — @nicochan33, 2026-04-06 15:51 UTC

  • Salesforce launches new Slackbot AI agent against Microsoft Google

    Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI venturebeat.com/technology/s… [Translated from EN to English]

    → View original post on X — @craigbrownphd, 2026-04-06 15:50 UTC

  • Serverless Spark Jobs: Simplified Data Processing Without Cluster Management
    Serverless Spark Jobs: Simplified Data Processing Without Cluster Management

    Running Scala and Java Spark jobs often requires managing clusters and handling runtime upgrades. Serverless JARs remove that overhead. Jobs start in seconds and run on the latest supported runtime without cluster management. With Databricks Connect, you can build and test from

    → View original post on X — @databricks

  • Google’s AI Predicts Flash Floods 24 Hours in Advance

    Google's new AI can predict flash floods 24 hours before they strike. How it works: > Uses Gemini to extract confirmed flood locations and times from global news > Builds a dataset of past events that never formally existed. > That dataset feeds a neural network > The neural network combines real-time weather forecasts with local terrain, soil absorption rates, and urban density > Can flag at-risk areas with results that match the accuracy of America's National Weather Service > Can do this in countries that have almost no flood monitoring infrastructure at all Flash floods kill more than 5,000 people every year, but most victims never see them coming. A 12-hour warning alone can reduce flash flood damage by 60%. …For billions of people without any early warning system, this could be the difference between life and death. [Translated from EN to English]

    → View original post on X — @rowancheung, 2026-04-06 15:13 UTC

  • Strategic management and alignment of AI agentic stacks

    Commonalities: high ability agents are expensive, low ability/high error agents are cheap, so delegation needs to be strategic, you actually need to align incentives throughout the agentic stack, work products are handed off between levels of the organization, process matters etc

    → View original post on X — @emollick

  • How Anthropic’s Growth Team Leverages AI and Automation

    My biggest takeaways from @AnthropicAI's Head of Growth Amol Avasare: 1. Engineering is getting the most AI leverage—and it’s squeezing PMs and designers. With Claude Code, a five-engineer team now produces the output of 15 to 20 engineers. But PM and design productivity haven’t scaled proportionally. The result is a compressed ratio where one PM is effectively managing the output of a much larger engineering team. Anthropic's growth team is responding in two ways: hiring even more PMs (!), and formally deputizing product-minded engineers to act as mini-PMs for any project with less than two weeks of engineering time. 2. Anthropic is using Claude to automate its own growth. The internal initiative is called CASH (Claude Accelerates Sustainable Hypergrowth). It works across four stages: identifying opportunities, building features, testing quality, and analyzing results. Right now it handles copy changes and minor UI tweaks. The win rate is comparable to a junior PM with two to three years of experience, and improving rapidly. 3. The one part of PM work that AI can’t automate yet: getting six people in a room to agree. Amol and his head of design joke that even with AGI, it’ll still be impossible to align six stakeholders. Cross-functional coordination—managing opinions, navigating politics, mediating tradeoffs—remains the bottleneck that AI doesn’t touch for larger projects. This is why Amol believes PM roles aren’t going away, and may actually grow. 4. 60-80% of Anthropic’s growth team's projects have no PRD. For smaller work, kickoffs happen on Slack—messages back and forth with product-minded engineers who can push back and ask the right questions. For larger projects, Amol believes in a proper 30-minute cross-functional kickoff (legal, safeguards, stakeholders) to surface concerns early. 5. Adding friction to onboarding drives growth—if the friction helps users understand why the product is for them. His work Mercury, MasterClass, Calm, and now Anthropic, adding steps to onboarding flows consistently improved conversion. The key: cut annoying friction that doesn’t add value, but add friction that helps users understand why the product is for them. 6. AI companies need to focus on bigger bets, not better A/B tests. Amol’s argument: if your core product value is driven by AI, then the future value is orders of magnitude higher than today’s value, because model capabilities grow exponentially. In that world, micro-optimizations capture a shrinking share of a growing pie. Traditional growth teams do 60% to 70% small optimizations and 20% to 30% big swings. At Anthropic, they flip this ratio. 7. Amol built a weekly AI agent that scans Slack for cross-functional misalignment. Using Cowork with the Slack MCP, he has a scheduled task that looks across his projects and conversations and surfaces areas where teams are about to do overlapping work or pull in different directions. A colleague on the enterprise team already caught major misalignment that would have caused weeks of wasted effort. 8. A traumatic brain injury taught Amol the principle that now drives his work: freedom through constraints. In early 2022, a kick to the head during a Muay Thai sparring session caused a traumatic brain injury. Amol spent nine months off work and months relearning to walk, unable to look at screens or listen to music for more than 20 seconds. He was re-injured a month after joining Mercury and had to take two more months off. He’s still not fully healed. But the constraints—no alcohol, no caffeine, mandatory breaks, daily meditation—have become the habits that let him operate at the intensity Anthropic demands. “The true freedom in life is learning how to be content when you don’t get what you want.” Lenny Rachitsky (@lennysan) Anthropic is on an unprecedented growth run. Just in the past year they grew from $1B to $19B ARR. They added $6B in ARR just in *February*. Companies like Palantir and Atlassian took 15-20 years to reach ~$5B ARR. Anthropic is adding that every month. Amol Avasare is head of growth at Anthropic, and one of the most impressive people I've had on the podcast. In his first ever public interview, Amol shares: 🔸 How Anthropic is automating growth experiments with Claude (their internal tool called “CASH”) 🔸 Why activation is the single highest-leverage growth problem in AI 🔸 Why Amol is hiring more PMs, not less 🔸 How he uses Cowork to automatically detect team misalignment in Slack 🔸 How the company’s focus on AI coding created a research flywheel that accelerated their models 🔸 How Amol landed his role by cold emailing Anthropic’s CPO @mikeyk 🔸 The brain injury that nearly ended Amol's career Listen now 👇 piped.video/k-H4nsOTuxU — https://nitter.net/lennysan/status/2040827067126907113#m

    → View original post on X — @paulroetzer, 2026-04-06 14:48 UTC

  • Google’s Agile Architecture for Analytics and AI on GCP
    Google’s Agile Architecture for Analytics and AI on GCP

    Google's Agile Architecture for Analytics and AI on GCP! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Analytics-GCP

    → View original post on X — @gp_pulipaka, 2026-04-06 14:26 UTC

  • Google Cloud Cookbook: Big Data Analytics and Machine Learning Guide
    Google Cloud Cookbook: Big Data Analytics and Machine Learning Guide

    Google Cloud Cookbook! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode geni.us/Google-Cloud-Cookboo…

    → View original post on X — @gp_pulipaka, 2026-04-06 14:26 UTC

  • Agent Orchestration: AI Infrastructure for Executive Leadership 2026

    What every executive needs to know about agent orchestration in 2026: ✅Agentic RAG is unlocking institutional knowledge hidden in unstructured data. ✅As AI agents begin to act on data, governance and accountability become board-level issues. And perhaps the biggest shift ahead: AI agent orchestration. The organizations that win will have better systems for coordinating AI, data, and human decision-making. That’s when AI stops being a tool and becomes operational infrastructure. Here is my latest #CXOSpice conversation with Ed Keisling, Chief AI Officer at @ProgressFT: piped.video/aUWRJ_pIOw8 #DataStrategy #AI #AgenticAI #Cybersecurity #ProgressPartner

    → View original post on X — @yuhelenyu, 2026-04-06 14:00 UTC