Enterprise grade agents are a different ball game. Prompt based debugging for basic personal productivity agents is quite effective. But for mission critical enterprise apps, one still needs professional support.
ENTERPRISE AI
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Claude Update Causes Concern Among Millions of Employees
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This Claude update just made a few million employees sweat.
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Inspection and Maintenance Robots Taking Over Industries
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Why Inspection and Maintenance #Robots Are Taking Over
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @lukas_m_ziegler
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/UsZVULykqgWhy Inspection and Maintenance #Robots Are Taking Over by @lukas_m_ziegler #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology
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Domino sponsors 28th GFMI Model Risk conference in Boston
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Domino is sponsoring the 28th Edition GFMI Model Risk conference, May 13–15 in Boston. Learn more: https://
hubs.ly/Q049Fmmj0 -
AI Code Generation Replaces Traditional SaaS Development
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Can AI really replace SaaS?
— Cerebras (@cerebras) 8 avril 2026
We asked Codex Spark to build a simple Salesforce clone. It generated a build plan, then wrote all the code in 29 seconds.
And it works! Add contacts, live search, full pipeline dashboard – all unit tests passed.
The same task on full Codex took… pic.twitter.com/uMuNTnjYpACan AI really replace SaaS? We asked Codex Spark to build a simple Salesforce clone. It generated a build plan, then wrote all the code in 29 seconds. And it works! Add contacts, live search, full pipeline dashboard – all unit tests passed. The same task on full Codex took
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AI Struggles to Spread in Companies: Organizational Obstacles
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Steven Sinofsky on why it's hard for AI to diffuse through firms:
— a16z (@a16z) 8 avril 2026
"Algorithmic thinking is really, really, really hard for the vast majority of people who have jobs… If you were to go into any person and ask them to create a flow chart for a particular thing that they have to… https://t.co/eQfE3bAjas pic.twitter.com/uKxyJtszZvSteven Sinofsky on why it's hard for AI to diffuse through firms: "Algorithmic thinking is really, really, really hard for the vast majority of people who have jobs… If you were to go into any person and ask them to create a flow chart for a particular thing that they have to go do, they would probably fail at producing that flow chart." "So within any organization, say doing a marketing plan… one person probably understands and could document the flow chart. So if you put one of these agents or this coworking tool in front of people… their ability to explain to it what to do is really, really limited." "You're basically just developing the next abstraction layer for how people interact… at each level of the abstraction layer, [it's] been a highly skilled, very specific individual within an organization… and then the little parts they build become little toollets… and some people can stitch together and some can't." @stevesi Box CEO Aaron Levie on the AI Adoption Gap Aaron Levie joins Steven Sinofsky, Martin Casado, and Erik Torenberg to discuss how AI agents will revolutionize work, the growing pains of building software for the agent economy, what Wall Street gets wrong about AI, and more. 00:00 Intro
00:51 Building software for agents vs. humans
02:10 Can non-technical workers actually use AI agents?
14:31 CFO/CIO pushback: the real fear of agents doing integration
18:39 Treating agents like employees and why it breaks down
27:35 Diffusion gap: startups vs. enterprises
42:53 What Wall Street gets wrong -
AI-RAN: Artificial Intelligence Built into Mobile Networks
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nitter.net/i/status/2041534293747… Harold Sinnott #MWC26 (@HaroldSinnott) What is AI-RAN? It’s when AI is built directly into the mobile network—not just running in the cloud. That means faster decisions, lower latency, and smarter systems. I explain it simply here: linkedin.com/pulse/how-netwo… #MWC26 @SoftBank @SoftBank_RandD @ericsson @techiemats — https://nitter.net/HaroldSinnott/status/2041534293747667374#m
→ View original post on X — @haroldsinnott, 2026-04-08 21:44 UTC
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Minnesota State Payroll Issues Following Workday System Launch
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Minnesota State payroll problems grew after Workday launch, auditors say https://t.co/OKee6NciW2 pic.twitter.com/iK6FEvxihN
— Craig Brown, PhD (@craigbrownphd) 8 avril 2026Minnesota State payroll problems grew after Workday launch, auditors say go.theregister.com/feed/www.…
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Local AI Models Essential Backup When Cloud Services Fail
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At 4 p.m. today @NousResearch's CTO will be on an audio space here today to talk about Hermes.
— Robert Scoble (@Scobleizer) 8 avril 2026
Why is that important? We all need to move to local models, at least as a backup for when the big models in the cloud are down. https://t.co/rTVqP36vULAt 4 p.m. today @NousResearch's CTO will be on an audio space here today to talk about Hermes. Why is that important? We all need to move to local models, at least as a backup for when the big models in the cloud are down. BridgeMind (@bridgemindai) Claude Code is down again. This is a $200/month product. Developers are building businesses on this infrastructure. Every outage is lost productivity and lost revenue. Anthropic, you just launched Claude Mythos for AWS, Apple, and Microsoft. Maybe make sure your paying customers can use it. — https://nitter.net/bridgemindai/status/2041935526962315294#m
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Thomas Chen: Engineering NVIDIA Servers for Data Center Deployment
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For Thomas Chen, solving problems is what makes engineering exciting. He helps take NVIDIA’s servers from design to real-world use in data centers smoothly and reliably. Visit the link in our bio to learn how. #NVIDIAlife
— NVIDIA (@nvidia) 8 avril 2026
🔗 https://t.co/xjF4utNdo5 pic.twitter.com/lqgFvRHZhdFor Thomas Chen, solving problems is what makes engineering exciting. He helps take NVIDIA’s servers from design to real-world use in data centers smoothly and reliably. Visit the link in our bio to learn how. #NVIDIAlife 🔗 nvda.ws/41m8Qxi