Great to be in India and visit an Amazon Now micro-fulfillment center in one of the busiest areas of Mumbai. The things you need quickly—groceries, shampoo, baby products, and more—get picked and delivered just minutes after ordered. Customers are loving it… Prime members triple their shopping frequency once they start using it, and we've seen orders double every quarter since launch. It's our fastest-growing ecommerce business unit in India and we're expanding to 300+ cities as part of our plan to build the country’s largest delivery-in-minutes network. And what we've learned building it here is now helping us scale it across the U.S. and around the world. Team's also investing in how we support delivery associates, expanding our air-conditioned rest centers to 250 across the country (open to anyone in the industry), plus education scholarships for their kids, and upgraded insurance. Proud of what the team's built and the associates and partners who make it happen for customers every day. Still at the beginning of what's possible.

Faster shipping can make a big difference for your eCommerce business. 📦 With CJ’s global fulfillment network and overseas warehouses, you can stock closer to your customers and get orders delivered faster. Faster delivery. Happier customers. Smoother fulfillment. See how CJ logistics can support your eCommerce business. 👆 #cjdropshipping# #dropshipping# #ecommerce# #fulfillment# #logistics# #shipping# #overseaswarehouse# #globalshipping# #ecommercebusiness# #onlineseller# #supplychain#

Shopify gave merchants the infrastructure to launch and operate their own storefronts: payments, fulfillment, and an app ecosystem. Orderly does the same for DeFi apps. Shared liquidity, settlement, product modules, and now an App Store—while builders retain full control of their frontend, brand, and users. Shopify for onchain finance.

Amazon Supply Chain Services—our freight, distribution, fulfillment, and parcel shipping network—can now be used by any business. Was built over nearly three decades to move, store, and deliver products across land, air, and sea. All one network, so no need to piece together different providers at every stage. Same reliability and speed our customers rely on. P&G, 3M, Lands' End, and American Eagle already on board. Gonna help a lot of businesses move faster, save money, and simplify things.

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Philip Su grew quickly to a Distinguished Engineer at Facebook and OpenAI. We talked about the psychology behind peaking in a tech career and the pressure at the highest levels. In this episode: • Not wanting IC9 and requesting demotion • How motivation changed across his career • Fulfillment and motivation after FIRE • Why sustaining IC9 was difficult Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsors of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at • Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at Chapters: 00:00 Intro 00:37 Growth past IC9 05:39 Motivation changes over his career 11:36 Asking to not be promoted 17:33 What made it hard to sustain IC9 performance 22:22 What motivated him outside of promos 26:21 Is career advice useless 29:34 Motivation after you've hit FIRE 36:08 Meaning and fulfillment 38:17 Top book recommendation 40:14 What he would change 43:24 Outro

This is getting insane lol Kastle raised a $24M Series A led by @insightpartners Kastle deploys "AI FTEs" for consumer lending: agents that work across banks' existing core systems + execute high-volume workflows end to end (customer service, loan origination, fulfillment, servicing, collections) w/out ripping out legacy infra Only real stat in the press is $1.8B+ in txns processed by its agents, but customers include Newrez, Valley Bank, Carrington Mortgage Services, New American Funding, Planet Home & Selene Finance

Skild's founders just dunked on the entire demo-industrial complex. Skild just disclosed a $100M annual revenue run rate, only 10 months after their first commercial deployment. 60+ paying customers, including G10 Fulfillment, Mitsui & Co, and STN Inc (data center infrastructure), with the vast majority of revenue coming from manipulation-heavy work (mobility is only 10%, Fetch solutions 4%). They argue that cherry-picked, successful demos make it feel like a use case is solved, but squeezing out the last 5% of reliability at acceptable throughput is the hard, under-appreciated part. The R&D is hard enough on its own. But real-world deployment also takes a mountain of dirty work behind the scenes: installation, integration, repairs, adapting to new processes and more. Skild plans to crack robotics RSI (recursive self-improvement). The flywheel: start with one general foundation model, deploy it into many different applications where in-context learning lets it adapt on the fly, then feed the data from all those specialized deployments back into the base model. Experience that adds a little bit to a specialist is gold to a generalist learning many tasks. Each cycle, the next deployment starts from a stronger base model and needs less specialization to get to work. The era of deployment begins.