This website uses a security service to protect against malicious bots. This page is displayed while the website verifies you are not a bot.
It’s no secret that tech companies are racing to build “artificial general intelligence,” or AI that can match a human brain without needing a lifeline. But our brains already do the same heavy lifting with just a fraction of the resources. Whether it’s energy, water, land, components, or, you know… money… human brains are just way cheaper. Right now, you can either buy a human brain cell-based computer… or rent time on a remote one. Yep, even brainpower’s got a subscription plan these days. So what can these living computers actually do? How do they work? And, most importantly, should we be freaking out a little bit?
Watch how deep sea water is now drinkable • how deep sea water is now drinkable.
Video script and citations:
https://undecided.tech/how-living-com… my achieve energy security with solar guide: https://undecided.link/solar-guide Follow-up podcast: Video version — / @stilltbd Audio version — https://undecided.link/stilltbd-podcast Join the Undecided Discord server: https://undecided.link/discord 👋 Support Undecided on Patreon!
/ mattferrell ⚙️ Gear & Products I Like https://undecided.tech/shop/ Visit my Energysage Portal (US): Research solar panels, heat pumps, and more to get quotes for free! https://undecided.link/energysage For a curated solar buying experience (Canada) EnergyPal’s free personalized quotes: https://undecided.link/energypal 👉 Follow Me Mastodon https://mastodon.social/@mattferrell Instagram
/ undecidedtech Website https://undecided.tech Some music provided by Epidemic Sound https://undecided.link/epidemic I may earn a small commission for my endorsement or recommendation to products or services linked above, but I wouldn’t put them here if I didn’t like them. Your purchase helps support the channel and the videos I produce. Thank you. Chapters 00:00 — Intro 01:54 — Why? 05:29 — How? 09:17 — What? 15:59 — The Bigger Questions 17:28 — When?
Get my achieve energy security with solar guide:
https://undecided.link/solar-guide.
Follow-up podcast:
Video version — / @stilltbd.
Audio version — https://undecided.link/stilltbd-podcast.
Join the Undecided Discord server:
https://undecided.link/discord.
Stanford economist Erik Brynjolfsson explains why the greatest danger of artificial intelligence may not be mass unemployment itself, but the concentration of wealth, power, and decision-making in the hands of a small group of companies or individuals.
In this conversation, he discusses the “Turing Trap,” the disappearance and creation of jobs, universal basic income, the future of economic growth, and why businesses should use AI to amplify human abilities rather than simply replace workers. He also explains why AI could become more transformative than the Industrial Revolution, why its impact is still largely invisible in productivity statistics, and which human skills may become increasingly valuable.
00:00 – Introduction.
01:05 – Why companies focus on eliminating jobs.
03:41 – The Turing Trap.
06:51 – Which tasks and jobs should AI replace?
08:35 – Millions of jobs will disappear.
09:25 – Why stopping technological change will fail.
10:48 – Entrepreneurship, security and the jobs of the future.
12:41 – AI, universal basic income and concentrated power.
15:29 – Why AI should complement humans.
17:41 – An economy that no longer needs human consumers.
20:05 – Is the younger generation doomed?
22:38 – How AI could help less-experienced workers.
25:10 – The most valuable human skill in the AI era.
27:24 – Access to AI and the falling price of intelligence.
32:31 – Is the AI investment boom a bubble?
33:44 – Bigger than the Industrial Revolution.
34:36 – Why AI is not yet visible in productivity statistics.
39:29 – Could AI produce explosive economic growth?
41:51 – How Erik Brynjolfsson uses AI in his own work.
45:34 – Will AI replace economists and scientists?
49:53 – Is AI destroying the traditional learning process?
54:46 – Shared prosperity or unprecedented inequality?
56:27 – Could AI replace the free market?
Don’t forget to subscribe to our channel and turn on notifications so you won’t miss any of our future episodes ► / @thisistheworldofficial.
Michal Wyrebkowski (host) on LinkedIn: / michal-wyrebkowski.
This is The World: https://www.thisisworld.org/
This is The World on Instagram: / thisistheworld_podcast.
Google DeepMind just dropped a massive paper called From AGI to ASI, and the message is bigger than another AI release. The paper argues that AGI may not be the finish line everyone is waiting for. It may be the moment the real race begins. Once human-level AI can be copied, sped up, connected into agent teams, and used to build better AI, the jump after AGI could matter even more than AGI itself.
📩 Brand Deals & Partnerships: [email protected].
✉ General Inquiries: [email protected].
🚀 New Channel: / @space.revolution.
📌 What You’ll See:
Google DeepMind’s new From AGI to ASI paper.
SOURCE: https://deepmind.google/research/publ… 2026 framework for tracking progress toward AGI SOURCE: https://blog.google/innovation-and-ai… DeepMind’s approach to AGI safety and security SOURCE: https://deepmind.google/blog/taking-a… Demis Hassabis on AI agents and the road to AGI SOURCE: https://www.axios.com/2026/05/26/deep… The Legg and Hutter paper behind formal machine intelligence SOURCE: https://arxiv.org/abs/cs/0605024 🚨 Why It Matters This is bigger than another AI paper. Google DeepMind is already talking about what happens after AGI. If human-level AI can be copied, sped up, connected, and used to build better AI, then intelligence itself could become an industrial process. #ai #agi #deepmind.
The full technical paper on arXiv.
SOURCE: https://arxiv.org/abs/2606.12683
DeepMind’s earlier framework for measuring AGI progress.
SOURCE: https://deepmind.google/research/publ…
Google’s 2026 framework for tracking progress toward AGI
SOURCE: https://blog.google/innovation-and-ai…
DeepMind’s approach to AGI safety and security.
SOURCE: https://deepmind.google/blog/taking-a…
Demis Hassabis on AI agents and the road to AGI
SOURCE: https://www.axios.com/2026/05/26/deep…
The Legg and Hutter paper behind formal machine intelligence.
SOURCE: https://arxiv.org/abs/cs/0605024
🚨 Why It Matters.
This is bigger than another AI paper. Google DeepMind is already talking about what happens after AGI. If human-level AI can be copied, sped up, connected, and used to build better AI, then intelligence itself could become an industrial process.
#ai #agi #deepmind
Oracle is warning about a critical PeopleSoft Suite zero-day vulnerability tracked as CVE-2026–35273 that allows unauthenticated remote code execution, with the flaw actively exploited in ShinyHunter data theft attacks.
The flaw is within Oracle PeopleSoft PeopleTools and has a CVSS base score of 9.8.
“This Security Alert addresses vulnerability CVE-2026–35273 in Oracle PeopleSoft PeopleTools. Oracle PeopleSoft Enterprise Applications customers may also be affected by this vulnerability,” reads a new Oracle advisory.