Verdict with Ted Cruz
Verdict with Ted Cruz

A CCP Connection the Media won't Cover, AI at the Oval & Can Schools be Taught to Read Again Week In Review

25 July 2026 30:23 iHeartPodcasts

Listen to episode

About this episode

1. Investigation of Chinese-Linked Activist Financier Neville Roy Singham

  • Ted Cruz discusses a federal investigation into Neville Roy Singham, a wealthy businessman with alleged ties to the Chinese Communist Party (CCP).
  • The investigation reportedly involves potential violations of:
    • The Foreign Agents Registration Act (FARA)
    • Federal tax laws
  • Singham is accused of funding left-wing organizations, including:
    • The People's Forum
    • Code Pink
  • Cruz argues that money from foreign-linked sources may be supporting:
    • Anti-Israel campus protests
    • Anti-capitalist activism
    • Other progressive political movements
  • The discussion highlights concerns about foreign influence campaigns designed to shape U.S. public opinion and technology policy.
  • Singham denies working for or taking orders from the Chinese government.

2. White House Discussion on Artificial Intelligence (AI)

  • Cruz describes attending a meeting in the Oval Office with:
    • President Trump
    • Senator Marsha Blackburn
    • Administration officials and advisors
  • The meeting focused on AI regulation and policy.
  • Blackburn promoted several AI-related bills, including:
    • Child online safety measures (KOSA)
    • App-store age verification requirements
    • The “No Fakes” Act addressing AI-generated fake voices and images
  • Cruz expressed support for parts of the proposals but questioned whether they had enough political support to become law.
  • He argued that:
    • AI legislation should protect consumers and children.
    • Regulations should not unintentionally restrict free speech.
    • The U.S. must remain competitive with China in AI development.
  • The conversation also addressed concerns over deepfakes and AI-generated political misinformation.

3. Reading and Education Reform Legislation

  • Cruz discusses a bipartisan education bill focused on improving reading outcomes among American students.
  • He cites statistics showing declining reading proficiency among students nationwide.
  • The bill would require states receiving certain federal literacy funds to use reading methods proven effective through research.
  • The discussion contrasts:
    • Phonics-based instruction ("science of reading")
    • Three-cueing methods, which Cruz argues are less effective
  • Examples highlighted include:
    • Mississippi's dramatic improvement in reading scores after adopting phonics-focused instruction ("Mississippi Miracle")
    • Similar gains in Alabama and Louisiana
  • The legislation was introduced jointly with Democratic Senator Brian Schatz of Hawaii.
  • Cruz presents the bill as a bipartisan effort to improve literacy and educational outcomes.
  • The discussion outlines the legislative process needed for the bill to advance through Congress.

Please Hit Subscribe to this podcast Right Now. Also Please Subscribe to the47 Morning Update with Ben Ferguson and The Ben Ferguson Show Podcast Wherever You get You're Podcasts. And don't forget to follow the show on Social Media so you never miss a moment! Thanks for Listening

YouTube:https://www.youtube.com/@VerdictwithTedCruz/

Facebook: https://www.facebook.com/verdictwithtedcruz

X:https://x.com/tedcruz

X:https://x.com/benfergusonshow

YouTube: https://www.youtube.com/@VerdictwithTedCruz

See omnystudio.com/listener for privacy information.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Verdict with Ted Cruz. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.