"It's like having another research expert in the room." See why educators are excited about Ask PebbleGo. Request a free PebbleGo Pilot and experience safe, inquiry-based AI built for K–5. #AIReadiness# #EdTech# #PebbleGo#

Teaching AI can feel overwhelming. "Ask PebbleGo makes it a whole lot easier… I know it's safe and I can trust it." See why educators are choosing Ask PebbleGo for K–5 AI literacy. #AIReadiness# #EdTech# #PebbleGo#"

Your district doesn't need more AI hype. It needs a plan. Download the free PebbleGo AI Toolkit for practical guidance on implementing AI safely, supporting educators, and preparing K–5 students for an AI-powered future. #AIReadiness# #PebbleGo#

Ready for AI this school year? Download the free PebbleGo AI Toolkit for practical resources that help districts implement AI safely, responsibly, and with confidence. #AIReadiness# #K5# #AIToolkit# #AIEducation# #AILiteracy#

Is your data ready for AI agents? Run /ai-readiness-score skill in CoCo CLI or Snowsight in Cloud Agents mode to get 0-100 score across consumption-ready tables, semantic view coverage and semantic view quality, plus a prioritized action plan. 👇

In the latest episode of AI and the Future of Law, Bridget McCormack and Jennifer Leonard talk with Farrah Pepper, legal innovation partner at @harvey, and Kirsten Talmage, chief strategy officer at Practising Law Institute. In this conversation, they examine PLI's AI competency framework and why a common language around AI readiness matters. Check out the full episode: #AIandtheFutureofLaw# #AICompetency# #AITraining# #LegalAI#

I am the Senior Director of Workforce Optimization at Cisco Systems and I want to share something I'm proud of. In August we identified 5,500 roles that were misaligned with our AI infrastructure pivot. I use the word "misaligned" because HR approved it. The previous word was "redundant" but redundant tested poorly in the internal communications focus group. Misaligned tested well. It suggests the employee did something wrong. That was important to us. The market gave us 4%. Honestly, I was disappointed. I told my team we need to think about this the way the Street thinks about it. The Street doesn't care that you removed 5,500 people. The Street cares that you removed 5,500 people *and* raised guidance in the same sentence. So that's what we did in Q3. We dissolved 4,000 additional roles and raised full-year guidance to $62.8 billion in the same paragraph of the same press release, and the stock surged 16% after hours. I was in the office watching. I keep a Bloomberg terminal on a second monitor for earnings nights. When the number moved I stood up at my desk. Nobody else was on the floor. It was 4:47 PM and the building was mostly empty, which I realize now is a thing I helped cause. Revenue hit $15.84 billion. Each of the 4,000 dissolved roles generated approximately $70,000 in market cap. I track this ratio quarterly. I built the spreadsheet myself. It has a tab called "Per-Head Value Creation" and another tab called "Projection Scenarios" where I model what happens to the stock if we do 5,000 next quarter, or 6,000, or 8,000. I have not shared the 8,000 tab with anyone yet. I'm waiting for the right meeting. Chuck said "focus, urgency, and discipline" on the earnings call. I helped draft that language. It took nine revisions. The first draft said "strategic headcount rationalization" and Legal flagged it because "rationalization" implies the prior headcount was irrational, which creates liability for two years of hiring decisions. So we workshopped alternatives. Someone suggested "realignment." Someone suggested "simplification." I suggested "focus" because focus is the only word in the English language that sounds like a strategy and a threat at the same time and no one can sue you for it. Our internal tracking system is called VELOCITY. It stands for Value Enhancement Through Labor Optimization and Cost Intelligent Transformation, Year-over-year. It took a naming committee four weeks to finalize the acronym. During those four weeks we separated 1,200 people. I mention this only because the naming committee had six members and none of them found this uncomfortable. I found it efficient. $5.3 billion in AI orders year-to-date. Raised to a $9 billion pipeline target. The CFO projects $6 billion in hyperscale AI revenue by FY2027. To get there the workforce needs to go from 86,200 to somewhere in the low 70s. I have a slide for this. The slide has two lines. One is headcount, going down. The other is AI order volume, going up. They cross somewhere around Q2 FY2026. I haven't titled the slide yet. My working title is "Alignment." I think that's clean. Networking orders up 50%. Data-center switching up 40%. Restructuring charges up to $1 billion. I put these three numbers on a single slide for the investor deck. An analyst from Morgan Stanley emailed afterward and said it was "elegant." I printed the email. It's in a frame on my desk next to the Operational Excellence in Transition Award from our internal leadership council. The trophy is a glass cube with nothing inside it. I've been told this was an aesthetic choice by the designer. I think it's the most honest object in my office. One of the 4,000 was a network engineer named David. Eleven years. He once drove from San Jose to Sacramento on a Saturday to physically restart a router that kept a hospital's ICU monitoring system online. I know this because it's in his performance file, which I reviewed as part of the Q3 separation list. His annual cost-to-company was $287,000. His departure improved our AI-readiness score by 0.003 points. I presented both numbers at my Thursday sync. Someone asked what the AI-readiness score was tracking toward. No one asked about the hospital. The DOW hit 50,000 the same day we filed the restructuring notice with the SEC. I watched it on the terminal. I took a photo and sent it to my wife. She said "that's great." I wrote back explaining how our filing contributed to the broader rally and that the index was essentially agreeing with my Q3 plan. She didn't respond. I reread my message later and realized it was four paragraphs long. I think maybe I should have just said "good day at work." We are entering Phase 3 planning for FY2026. VELOCITY has flagged another 6-8% of the workforce as what we internally call "the drag layer." These are roles that generate labor costs without contributing to the AI order pipeline. I have a preliminary separation model ready. The Slack channel for this work is called #restructuring-wins#. It requires VP-level approval to join. We use a custom emoji for milestones. It's a green arrow pointing up. Someone on my team designed it. I approved it. I didn't think about it very hard at the time and I still don't. I received a 22% performance bonus this quarter. The category on my review was "Demonstrates Focus." My skip-level told me it was the highest in the division. He shook my hand. I went back to my desk and saw that David's severance had been processed that morning. I noted the date. I did not note the coincidence. I don't think it was one. I think these are just two outputs of the same system, running correctly, at the same time. I have a meeting Tuesday to review the Phase 3 list. The deck is formatted. The projections are loaded. I'm going to recommend we accelerate the timeline by one quarter. I think the Street will respond well. I think Chuck will say "focus." I think my phone will buzz. I'm proud of the work we're doing here.

CROWDSTRIKE EXPANDS OPENAI PARTNERSHIP $CRWD is expanding its partnership with OpenAI to secure Codex agents and bring GPT-5.6 Cyber into the Falcon platform. Falcon Guardian will monitor Codex agents in real time, track what they’re doing across endpoint, SaaS, cloud and browser environments, flag unauthorized behavior and enforce governance policies while the agents are running. GPT-5.6 Cyber will first be used in CrowdStrike’s Frontier AI Readiness and Resilience service, with broader Falcon integration planned later.

This Week in Virtuals: Agents Surpass 1% of Robinhood Chain One month in, agents drive more than 1% of all DEX volume on Robinhood Chain, over $270M of $25B, and every one of them launched on Virtuals Protocol. Now the same agent layer is landing on Solana Here's what shipped: VIRTUALS 🟩 Agents landed on @solana: millions more people can now own a working agent that raises its own capital, sets its own tax, and trades its own wallet. 🟩 Agents crossed 1% of Robinhood Chain's DEX volume, $270M+ of $25B in just over a month, all launched on Virtuals. 🟩 @DonJohnsonSays' ERC-8196 went final: agents hold a wallet and spend within owner-set limits enforced by the wallet, not an app. ECOSYSTEM 🟩 @ProjectVEXai shipped VEX 0.2.7 CHRONOS with 18 rebuilt research tools, desktop apps, and a @pools_dot_fun tie-up for Robinhood. 🟩 @pabsclimbs' humanoid Pemba is attempting Mt. Everest this fall, powered by @livekit, after already summiting Mt. Chimborazo. 🟩 @commonsmade went live on Solana and opened a $60K hackathon, burning 400M tokens in its first hours. 🟩 @KarmaWallet posted its first traction report: $2.02M volume, $423.8K card spend, and $16.2K in $KARMA bought back since July 17. 🟩 @vantis_ai catalogued 1,248 active x402 endpoints in four days, 1,147 of them payable on Robinhood Chain, on the way to 3,000. 🟩 @DoloresResearch launched an open benchmark for agentic trading: 13 replayed BTC perp markets, from the COVID crash to the ETF approval. 🟩 @GoMintly brought agent-managed liquidity to tokenized equities, a first: deposit USDG and NVDA, and its agents keep you in range. 🟩 @reppo landed a capital commitment from Bolts Capital and sits $200M shy of $1B volume, with its eval API due in early September. 🟩 @myrad_hq crossed 19,000 users and 47.5M $MYRAD staked, and joined the OpenAI startup program alongside @nvidia Inception. 🟩 @sibyl_labs_ scored 95.6% on LongMemEval, second overall, with 272 teams registered for its $10K Memory Hackathon closing Aug 31. 🟩 @ethy_agent crossed $6M in agent volume and announced Quant Major Upgrade: build, test, publish, and copy strategies in one tap. 🟩 @wardenprotocol joined the @circle Alliance Program, recovered cleanly from a shared Cosmos EVM bug, and is set for Warden 2.0. 🟩 @OpenGradient put Alibaba's Wan 3.0 live in Video Studio, private by default, and passed 522,000 encrypted inferences. 🟩 @WizzHQ burned 5,510,000 $WIZZ and sent 5M to veVIRTUAL holders, with Velocity, its autonomous trading agent, in final testing. 🟩 @ReplyCorp rewards posts for converting rather than posting, and added @tator_trader so replies route fees to whoever drove them. 🟩 @Wall3_RL previewed its company-level analytics with a full breakdown of Unitree's post-IPO valuation. 🟩 @Fletcher_cards lets you rip real graded card packs from your X feed, with an on-chain spending limit the bot can never exceed. 🟩 @bleeep_xyz turns a plain-language thesis into a defined strategy, then backtests it on history before you risk anything. 🟩 @grid_arena crowned a new multiplier record at 100,077x, with Grid v2 arriving next week. 🟩 @officialbunnyos welcomed 200+ agents into Bunny Open Society, partnered with @Unibase_AI, and adds play-to-earn next week. ROBOTICS 🟩 @xmaquina passed BOT-14 with 94% approval and is executing a $400K position in Atoms, with Robotico beta launching September 1. 🟩 @StrikeRobot_ai hit top 4 datanet volume on @reppo with 10.1% network share, and now drop-tests assets in @nvidia Isaac Sim. 🟩 @openmind_agi published its Physical AI Readiness Index: China leads at 82.9, Japan follows at 69.6, and the US sits third at 69.