Try for free
Hashtag Trending
Hashtag Trending

Project Synapse: AI News, Digital Sovereignty, Open-Source Models, Midjourney's Full-Body Scanner

20 June 2026 1:11:26 Jim Love

Listen to episode

About this episode

The hosts discuss a favorite scene from the 1981 film Caveman before introducing Project Synapse, their weekly show on AI and new technology. They cover a hectic week in AI news, including talk of SpaceX buying Cursor for $60B, Cursor's role as an AI-enabled IDE using multiple models, and concerns over token costs and profitability. They describe Anthropic taking Fable offline after a government order cutting off foreign nationals, raising fears about reliance on U.S.-based AI and digital sovereignty, and note Europe's renewed push toward open-source alternatives. They highlight open-source and lower-cost models such as Mistral, DeepSeek, and GLM 5.2, Google's strategy of free tools and local processing, and a DeepMind paper "From AGI to ASI." The episode ends with Midjourney's announced non-radiation full-body scanner concept and spa rollout plans for 2027.

Find the links we talked about on our Discord Server. This is the link to you our Discord server https://discord.gg/e9476SGMsz

00:00 Caveman Music Discovery 01:57 Show Intro and Hosts 03:03 SpaceX Buys Cursor 07:23 Is Cursor Still Best 09:18 Fable AI Vanishes 11:20 Government Shutdown Fallout 13:57 Digital Sovereignty Wakeup 18:09 Open Source Reality Check 20:23 Economics Detour Debate 22:30 Governments Back Open Source 27:00 Mistral DeepSeek Shift 29:51 Google Gives AI Away 31:35 Avatars Tokens and X 32:54 Local Models Slow Iteration 33:58 Local AI Smart Speakers 34:40 Chrome Model Backlash 35:20 BitTorrent Style Inference 37:43 Distrust And Data Centers 38:19 Small Models And Transformers 39:45 Google AI Tool Rundown 41:17 DeepMind From AGI To ASI 45:40 Beyond Transformers Next Minds 48:19 AI Splintering And Niches 49:20 Diffusion And SubQ Attention 54:39 Forking And Competition 57:26 Monopolies And CEO Culture 01:02:30 Midjourney Medical Scanner 01:08:59 Innovation Hopeful Wrap

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Hashtag Trending. 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.

Still have questions?

Contact Support