This is very well said

I know she’s not in NYC anymore and she always would get a lot of hate but this is what social media should be about. Not chasing aesthetics, clout or a lavish lifestyle, but being honest about how empty that grind can feel and how grounding it is to go back to your roots and what’s important to you. I’ve seen influencers break up with their bfs over locations, apartments etc but this post should be a reminder that a simple, steady life surrounded by good people is the real luxury.

u/Danny_simmon — 7 days ago

Why do exes completely avoid you after a breakup when they ended the relationship

It’s been seven months since my ex and I broke up—it was her decision and she did it over FaceTime after 5 years. Since then, she’s completely blocked me on social media. She can’t even make eye contact with me, and whenever we end up at the same place or event, she avoids me entirely, keeping her back turned and making sure there’s no interaction at all.

reddit.com
u/Danny_simmon — 8 days ago
▲ 10 r/AINewsMinute+1 crossposts

Why I’m cautious on Anthropic as it heads towards IPO

There’s a lot of hype around Anthropic right now, but as they move toward going public I think they have some real hurdles that aren’t being talked about enough

  1. Free Consumer AI vs Enterprise Monetization
    Anthropic still runs the classic tension: free or cheap consumer access vs very expensive underlying compute.

They do have a free Claude tier and a 20/month Pro plan, plus options that look similar to competitors in pricing. But in 2026 they’ve started unwinding some of the “all you can eat” behavior: agent usage, SDK calls, and heavy programmatic loops are behind pushed onto metered, per token billing instead of being bundled into flat subscriptions.

To me this says, consumer chat stays relatively cheap/free to preserve growth and data. Serious agentic and enterprise like usage must increase.

This underscores the bigger issue: if they keep frontier models expensive for enterprises what happens when CIOs restrict usage or focus on “efficiency” rather than broad experimentation. If they lower prices, they risk margin compression and more pressure on compute spend.

  1. Open Source (Chinese) models and the distillation fight

Cheaper open source models specifically from China are optimized to undercut US frontier labs on price.

Anthropic has publicly accused several Chinese firms of running “distillation attacks” on Claude. This dovetails with a broader lobbying push in D.C from Anthropic and others, arguing that distillation is a national security risk and needs to be regulated or restricted.

Seems like they are trying to shape the rules in Washington with this!

reddit.com
u/Danny_simmon — 8 days ago

Data and AI Summit Announcements

For those that feel overwhelmed with all of Databricks announcements at Data and AI Summit this year. Here is a high level overview for you:

Open Lakehouse Foundation & Agentic Data

LTAP (Lake Transactional/Analytical Processing): Unifies transactional and analytical workloads on a single copy of data, eliminating the need for ETL or CDC.

Lakehouse//RT: A real-time lakehouse for operational analytics, designed for millisecond responses.

Lakebase Search: Built-in semantic and hybrid search for your apps and agents.

Lakebase (Cross-cloud/DR): Improved DR capabilities and branching in managed Postgres.

Lakeflow Connect: Now includes a free ingestion tier for 100+ connectors.

Unified Governance & Security

Global Unity Catalog: Centralized policy and audit control across clouds and regions.

Governance Hub: A new command center for monitoring risk and remediation.

Unity Catalog Glossaries / UC Semantics: Governed, curated business definitions, terms, and relationships — the business-language layer that grounds AI in trusted context. 

Unity AI Gateway: Runtime governance for enterprise AI, managing spend and access.

Lakewatch: An agentic SIEM built on the security lakehouse to unify security telemetry.

Managed Disaster Recovery: Replicate the critical parts of your Databricks deployment to a secondary region and fail over within minutes.

Agentic Work, Dev & Apps

Genie One: An agentic coworker designed to reason over your data and act across 50+ apps.

Genie Ontology & Agents: New layers for continuous learning and turning chats into reusable agents.

Genie App Builder: A new way to build and deploy governed enterprise apps.

Agent Bricks: A platform for managing agent memory and sandboxes.

u/Danny_simmon — 11 days ago