DataTopics: All Things Data, AI & Tech
DataTopics: All Things Data, AI & Tech

DeepSeek's harness, frontier models at home, Claude's watermark

21 August 2026 43:32 DataTopics

Listen to episode

About this episode

Send us Fan Mail

Murilo and guest Vitale go through the latest data and AI news: DeepSeek's open coding harness where every capability is a plugin, running near-frontier models on your own MacBook, Claude watermarking its own text to meet the EU AI Act, the argument that the code is just the byproduct of understanding, and what Anthropic found when agents start working together.
Links and references
DeepSeek's coding harness
https://deepseek.com/harness/en/
How Claude's text watermark works (Anthropic)
https://www.anthropic.com/news/claude-text-watermark
Code is the byproduct
https://yagmin.com/blog/code-is-the-byproduct/
Anthropic on multi-agent systems
https://www.anthropic.com/research/multiagent-systems
ds4, running DeepSeek locally (antirez)
https://github.com/antirez/ds4
#datatopics #ai #datanews

Watch on YouTube: https://youtu.be/fippNXe70_M

Chapters

  • (0:00) Welcome and guest intro
  • (2:14) DeepSeek's coding harness, everything is a plugin
  • (9:24) Running frontier models on your own machine
  • (11:14) Claude watermarks its text, and the EU AI Act
  • (22:33) Is the code just a byproduct?
  • (30:18) Codex vs Claude, reverting to 4.8
  • (32:41) When agents work together, and collude
  • (42:57) Wrap-up

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DataTopics: All Things Data, AI & Tech. 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.