AI News HubLIVE

Today's must-reads

Agents

1999.ai: AI and dot-com déjà vu

Scott Galloway draws parallels between the current AI boom and the dot-com bubble of 1999, warning that the AI bubble is beginning to unravel but may have a twist ending. He traces the cascading failures from B2C to infrastructure and argues that the true beneficiaries of AI will be users, not shareholders.

  • OpenAI's financials mirror dot-com era: massive losses, unsustainable business model, and a bailout proposal
  • Circular financing and overspending in AI raise red flags, with companies already cutting usage
In-site article

Building a soccer coaching app on Databricks

Coach’s Corner is a Databricks App that transforms 25 fps match tracking data into a sub-second 2D/3D tactical bench with replays, event analytics, a scout chat, and an opponent-dossier agent. It runs on one platform, powered by Databricks end-to-end: Lakeflow pipelines refine 51 million rows through bronze, silver, and gold; DBSQL queries them in 1-3 seconds; and Lakebase serves them to the app in milliseconds. The AI layer is grounded in governed data, including a Genie space for scouting questions, Vector Search for similar players, and an agentic dossier that calls an LLM served through the Unity AI Gateway, with every step traced in MLflow.

  • Coach's Corner unifies data ingestion, transformation, and AI on a single platform for real-time tactical insights.
  • Uses Spark Declarative Pipelines to process 51 million rows and DBSQL for 1-3 second query responses.
In-site article

How Smartsheet built a remote MCP server on AWS

This post provides a high-level overview of the Smartsheet remote MCP architecture, focusing on the AWS infrastructure behind it, including security, governance, scaling, deployment, and AI-specific optimizations.

  • Smartsheet built a remote MCP server on AWS to give AI clients direct access to its data and capabilities.
  • Key AWS services include AWS Fargate, Amazon Kinesis, Amazon Bedrock, and Amazon Neptune.
In-site article

Run AI Agents from Jira, Linear, GitHub Issues, or Markdown

Startup Factory is an open-source framework that turns project management boards into a governed delivery system for AI agents. It supports multiple trackers, provides layered safety boundaries, and enables deterministic orchestration of cross-functional AI teams.

  • Startup Factory connects project management tools (Jira, Linear, GitHub Issues, Markdown) to AI agents for end-to-end product delivery.
  • It features a deterministic PM supervisor that checks boards every 3 minutes, routes tasks to appropriate agent teams, and enforces safety and governance.
In-site article

Portable AI Memory or Permanent Lock-In

The article argues that AI memory is the new vendor lock-in, with no real portability existing in July 2026. It identifies three types of lock-in (behavioral, context, relationship), praises early movers like Cognee and ByteRover, but stresses that a neutral interchange standard is needed, as single-vendor formats are just dialects. Regulatory pressure in Europe may accelerate the need.

  • As of July 2026, there is no practical portability for AI memory; switching platforms means starting from scratch.
  • Memory lock-in comes in three layers: behavioral, context, and relationship, with relationship being the hardest to migrate.
In-site article

Bunkerhill raises $55M to scale agentic AI across health systems

Bunkerhill Health has raised $55 million to scale its agentic AI platform, Carebricks. The platform is already live at Cleveland Clinic, UTMB, and Intermountain Health. UTMB has deployed over 20 agents across clinical, operational, and administrative workflows, reporting early wins such as a coronary calcium detection agent that flagged a patient at imminent heart attack risk, leading to a life-saving triple bypass.

  • Bunkerhill Health closes $55M Series B with participation from Sequoia Capital, Khosla Ventures, and others.
  • Its agentic AI platform Carebricks allows hospitals to build custom AI agents for clinical, operational, and administrative tasks.
In-site article
Policy

Apple’s plot to crush OpenAI

Apple is suing OpenAI. The complaint is readable and intense, as these things often are, though many experts seem to think many of the allegations are just the ways things are done. So what does Apple really want here, and why is it picking such a public fight with OpenAI? On this episode of The Vergecast, Nilay and David go through the lawsuit, and look at Apple's history of splashy litigation to determine whether Apple is worried about a possible competitor or simply looking to capitalize on a weak moment for OpenAI. All this is happening as Apple ships the public betas of its new software, headlined by the new Siri AI, and we have thoughts about what it all means — and whether the new Siri is actually any good.

  • Apple sues OpenAI; experts say allegations are standard industry practices.
  • Apple's motive: fear of competition or exploiting OpenAI's weakness?
In-site article
Robotics

Patreon stops asking AI bots not to scrape and starts blocking them

Patreon partners with Cloudflare to directly block AI scraping bots, protecting creators' work from unauthorized use in AI training.

  • Patreon works with Cloudflare to block AI bots instead of just asking them to stop.
  • The move responds to increasingly sophisticated scraping techniques since 2023.
In-site article
Chips

The Download: perimenopause misinformation and China's latest AI leap

This issue of The Download covers the hype and misinformation around perimenopause, China's new open-source AI model that narrows the gap with the US, and other tech stories including Trump Media's monetization, an atmosphere on an Earth-like planet, brain implants restoring feeling, and more.

  • Perimenopause discussions are more open but increasingly filled with misinformation and unsupported treatments.
  • A Chinese startup released the world's largest open AI model, competing with US models and impacting stocks.
In-site article
Models

Chinese AI Startup Releases Massive Open Weight Model

Kimi K3 offers enterprises a 2.8 trillion parameter open model. But for U.S.-based companies, deciding whether to use it is complicated.

  • Moonshot AI releases Kimi K3 with 2.8 trillion parameters
  • Open weight model raises geopolitical considerations for U.S. firms