"As people began integrating AI into their day-to-day work, speed became fundamentally important. And we were just crushed with demand. Is Cerebras inference faster for specific use cases? No, it's faster across the board. Big models, small models, U.S. models, Chinese models,
ENTERPRISE AI
-

SambaStack offers high-performance AI inference infrastructure
By
–
AI infra shouldn’t be complicated SambaStack gives teams a full hardware + software stack built for high-performance AI inference, whether you deploy on-prem or in the cloud. Learn more: https://
sambanova.ai/products/samba
stack?utm_source=x&utm_medium=organic&utm_campaign=enterprise
… -
GenAI drives enterprise ROI as coding agents gain traction
By
–
Enterprise adoption will take awhile, but we have moved past no success – 75% of companies had positive ROI from GenAI in November, and coding agents are now starting to have a real impact at many firms. I think normal adoption does not mean that model abilities aren't growing.
-

Scaling AI Operations Through Governance and Workflow Integration
By
–
AI maturity is no longer about how many copilots a company has deployed. It is about whether AI can operate inside real workflows with: Identity Policy Workflow Audit The market is moving from AI pilots to AI operations. Governance is the scaling layer. The key
-

NVIDIA Verified Agent Skills for AI Agent Capability Governance
By
–
Technical Deep Dive https://
developer.nvidia.com/blog/nvidia-ve
rified-agent-skills-provide-capability-governance-for-ai-agents/
… -

Cloudflare CEO explains how he chooses employees to replace with AI
By
–
How I Choose Which Cloudflare Employees to Replace With #AI by @eastdakota "Two weeks ago I laid off more than 20% of my workforce."
(link to article in the reply) There's a book about what this means for the overall economy. New edition covering the job market and economic -

Free course on delivering AI-powered analytics and dashboards
By
–



Modern analytics needs more than dashboards. It needs a new foundation. This free one-hour course covers:
• Delivering trusted, AI-powered insights using unified data, governance, business logic, and the lakehouse
• AI/BI Dashboards, Genie spaces, semantic layers, and data -
Spotify Engineers Adopt Claude Code; 60% PR Growth
By
–
Chez Spotify, 96 % des ingénieurs codent désormais avec Claude Code.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 21 mai 2026
La fréquence des PR a explosé de +60 % et ils réalisent 4 500 déploiements par jour.
Niklas Gustavsson, Chief Architect de Spotify, vient d'expliquer exactement comment ils ont fait ça, lors d'une… https://t.co/YqYNyJadtD pic.twitter.com/aIAIKQ3nsNChez Spotify, 96 % des ingénieurs codent désormais avec Claude Code. La fréquence des PR a explosé de +60 % et ils réalisent 4 500 déploiements par jour. Niklas Gustavsson, Chief Architect de Spotify, vient d'expliquer exactement comment ils ont fait ça, lors d'une
-
Incumbent Weakness Mapper: Competitor Analysis Prompt
By
–
Prompt 3: "The Incumbent Weakness Mapper" "Take the top 5 pain points from your research. For each one, do deep research on every existing
product that claims to solve it. For each competitor, I need: their pricing model, the
most common user complaints, specific feature gaps -
Prompt: Pain Point Mining for AI/Niche Tools
By
–
Prompt 2: "The Pain Point Miner" "Based on the [NICHE] projects you just found, I need
you to do deep research on the complaints and unmet
needs people are expressing around these tools and
this space in general. Search Reddit threads, X posts, Product Hunt comment
sections,