·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The apps, gadgets, and tools every reader needs3h◆Neil Rimer thinks the AI money is coming back out10h◆Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values11h◆Harnessing LLMs for Reliable Academic Supervision: A Comparative Study11h◆Learning Who to Treat When Treatment is Missing11h◆Some Complexity Results for Robustness Verification for Binarized Neural Networks11h◆The Steering Budget: Examples beat Knobs11h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs11h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination11h◆HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization11h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models11h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation11h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System11h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets11h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility11h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation11h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks11h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios11h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration11h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents11h◆The apps, gadgets, and tools every reader needs3h◆Neil Rimer thinks the AI money is coming back out10h◆Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values11h◆Harnessing LLMs for Reliable Academic Supervision: A Comparative Study11h◆Learning Who to Treat When Treatment is Missing11h◆Some Complexity Results for Robustness Verification for Binarized Neural Networks11h◆The Steering Budget: Examples beat Knobs11h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs11h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination11h◆HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization11h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models11h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation11h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System11h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets11h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility11h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation11h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks11h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios11h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration11h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents11h◆
News/Anthropic and Gov. Newsom forge deal allowing California government to use Claude at half price
techcrunch
PublishedJune 29, 2026 at 6:10 PM
—neutral

Anthropic and Gov. Newsom forge deal allowing California government to use Claude at half price

Source
techcrunch.comfull article ↗
Read on techcrunch→
Publisher summary· verbatim

As Anthropic forges a closer relationship with the state of California, the federal government has made an enemy out of the OpenAI rival.

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
techcrunch
Read original ↗All from techcrunch →

No replies yet. Be first.

Source
↗
techcrunch
Read original ↗All from techcrunch →

Related coverage

More from TECHCRUNCH
techcrunchNeil Rimer thinks the AI money is coming back out10h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on techcrunch ↗
HomeModelsNews