Alan Robinson retweeted
release all the numbers.
does 80% yoy become 65% when you remove passthru inference?
what does it become when you remove ai natives?
and how much of it is from one time software license --> service transition?
fcf, RPO, cRPO?
op margin non-gaap, gaap? dilution?
curious ppls want to know
ps: @alighodsi happy for your success. the world is big and life long.
teapawt.org/bhorowitz/status/21150…
Alan Robinson retweeted
GOOGLE HAS RELEASED SOMETHING NO ONE EXPECTED.
An 8-minute tutorial on how to build your first AI agents.
Alan Robinson retweeted
New York is becoming one of Databricks’ biggest AI hubs. 🗽
We’re expanding at 5 Bryant Park to ~120,000 square feet across five floors, including a dedicated Engineering and Research floor.
With teams building technologies behind Genie, Unity Gateway and CustomerLake, our momentum in NYC is only growing.
Alan Robinson retweeted
Genie Ontology works on day one, but the quality of its answers improves as the business context underneath it gets stronger.
A practical path is to build that context layer by layer:
↳ Strengthen the data foundation
↳ Enrich metadata
↳ Model critical business semantics
↳ Curate trusted assets
↳ Govern access
↳ Evaluate and improve over time
You don’t need to tackle everything at once. Start with one high-value domain, harden the definitions and sources that matter most, then expand as you learn.
Read the guide: databricks.com/blog/operatio…
Alan Robinson retweeted
The Databricks MVP community represents some of the most respected technical leaders across data, AI, and analytics.
Alan Robinson retweeted
Databricks Chief Information Officer Naveen Zutshi has been named to TIME's 2026 Executives of the Year: Tech & Data list!
@TIME highlights Naveen's mission to make every Databricks employee a builder with Genie, while strengthening the data governance behind how Genie accesses and acts on company data.
Congratulations to Naveen and all 50 leaders shaping the future of technology, AI, cybersecurity, and digital innovation.
Explore the full list: time.com/collection/executiv…
Alan Robinson retweeted
Exciting day for Databricks customers! We’re launching three new frontier models on Databricks today.
↳ @OpenAI's GPT-6 Sol and GPT-6 Luna, with strong performance at lower cost and a higher Pareto frontier on the OfficeQA Pro benchmark
↳ @AnthropicAI's Claude Opus 5.5, with substantial improvements in cost efficiency and strong performance on enterprise document parsing tasks
The industry’s best models are shipping faster than ever. Putting them into production and scaling your AI footprint means governing every model call, controlling costs, monitoring performance, and using the right model for the right task.
Unity Gateway gives you one governance layer across every model, so you can govern and audit requests, set budgets, track costs, and choose the best model for each job.
docs.databricks.com/aws/en/r…
Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.
GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.
We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
Alan Robinson retweeted
The race for AGI
Script: Sherpa by Pocket FM
Video: Seedance 2.5
🤖 Made with AI
Alan Robinson retweeted
Google's Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs
1:45 - LLM from scratch
17:22 - how to use AI models
30:03 - prompt engineering
52:35 - one human coordinating 100 agents
1:02:40 - where the coordination actually lives
27 years of building AI at Google, compressed into one hour
Prompts → Agents → Loops → Graphs
most people will stop at the prompt engineering chapter and call it learning
he spends the last twenty minutes on the part that is still true next year
same model, same tokens, completely different week
watch it today
the full guide on graph engineering is below, save it while it is still early ↓
A prompter asks a question. An architect draws a graph.
- The ones who learn to draw the graph will run a fleet. Its a graph-shaped future #Databricks #Datagraph #cowork
Alan Robinson retweeted
She's 18 built an AI agent with Opus 5 and sold it to Anthropic for $3.2M - and came to Stanford to show how to do it from scratch:
00:34 - how Opus 5 builds a $3.2M agent in one evening
15:34 - 4 agents replaced 400 Anthropic engineers
34:47 - from first prompt to a $3.2M check from Anthropic
after watching I spent 60 minutes building my first agent - it cut my workday by 90% and a week later I got a $100k check from Anthropic:
save & watch - article below on how to go from one prompt in Claude Code to an agent people pay millions for.
Alan Robinson retweeted
Breaking: Michael Burry says OpenAI and Anthropic are faking the AI warnings due to slow growth ahead of IPOs
Below are his reasonings:
1. LLMs are not AI and won't be AGI. There is nothing AI to slow down.
2. Competition is coming up fast, slowing benefits incumbents.
3. IPOs need hype & puffery; "we are so awesome it could become dangerous" is hype & puffery
4. Cover for real uncontrollable slowing growth as IPOs look to be pushed out
Alan Robinson retweeted
Reimagine the way you work with #AgenticAutomation. ⚙️💡 Start today: spr.ly/601372OFZ
Alan Robinson retweeted
Most test failures aren’t real failures, they’re environmental glitches. 2025.10 handles them with smarter retries, adaptive waits, and AI-driven repair logic. Get the details: spr.ly/601672eGa





























