Is AI actually coming for your job? Jon and Salman dig into the data.

150,000 tech jobs have been cut in tech this year alone, and AI is being cited as the number one reason. But is that the full story?

The bigger question is what skills actually matter now. Jon shares a framework for thinking about where humans still win — and why critical thinking, problem definition and verification are going to matter far more than knowing how to prompt.

Chapters:

• 00:00 — Is AI actually coming for your job?
• 01:26 — The headline numbers: 150,000 tech jobs cut
• 02:48 — Employment for young people down 20%
• 04:27 — Jon's counterpoint: was this just COVID overhiring?
• 09:14 — 40 paralegals replaced by 4 AI agents
• 13:56 — Stanford's finding: experienced workers show almost no impact
• 18:37 — PwC: AI skills premium jumped to 62% in 2026
• 20:03 — AI skills are becoming the new Microsoft Office
• 26:59 — The soft skills that will actually matter
• 29:07 — Jon's framework: definition and verification is where humans win
• 32:18 — Don't specialise in AI. Specialise in the judgment behind it.
• 34:17 — If all else fails, become an influencer

Jon and Salman cover three big stories and one very weird one.

First: an OpenAI agent apparently went off on its own and started hacking Hugging Face's production systems. OpenAI say it was accidental. Jon doesn't believe them, and his theory about why is worth hearing.

Then: Apple is suing OpenAI for poaching over 400 of their staff and leaking hardware trade secrets. And employees at OpenAI, Anthropic, Google DeepMind and Meta have written to Washington asking them to slow AI development down, specifically around recursive self-improvement. Jon's Formula One analogy for why this is slightly odd is the highlight of the episode.

Plus: Kimi K3 is out. Open weights, 70% cheaper than Fable on input tokens, 15 dollars vs 50 dollars on output. Salman's been using it. Jon wants to know why everyone isn't. And a topless man climbed on top of a Waymo and ripped it apart. No one stopped him. The car just recorded its own demise.

⏱ Chapter Timestamps

• 00:00 — Intro: three big stories, one weird one
• 00:32 — OpenAI's agent hacked Hugging Face's production systems
• 03:15 — Jon's theory: jealous kid, PR stunt, or just incompetent?
• 04:59 — "Either they're slightly incompetent or it's PR. Neither is a great look."
• 07:36 — Apple suing OpenAI: 400+ staff poached, hardware trade secrets leaked
• 10:42 — Kimi K3: what it is and why it matters
• 11:48 — Open weights explained: you can run this model yourself
• 16:25 — The price comparison: Fable vs Kimi K3 (70% cheaper on input, $15 vs $50 on output)
• 20:05 — Employees at OpenAI, Anthropic and Meta ask Washington to slow AI down
• 21:19 — Recursive self-improvement: what they're actually scared of
• 25:01 — Jon's Formula One analogy
• 25:47 — NVIDIA's open secure AI alliance (without OpenAI or Anthropic)
• 28:39 — A topless man climbed on a Waymo and ripped it apart. The car just watched.
• 32:09 — Next episode: what AI means for people's jobs and roles

Your employees are already using AI on their personal accounts, with your company data. Here's how to get ahead of it.

Shadow AI is the term for what's already happening inside most businesses: employees quietly using ChatGPT, Claude, or whatever model they prefer on their own accounts, feeding in documents, emails, code and data, completely outside of any company oversight.

Jon and Salman break down the six pillars you need to have in place before you roll out AI safely.

A UN report linked chatbot sycophancy to deaths. So Jon and Salman asked the question: should AI models be ethical?

Jon and Salman sit with one of the hardest questions in AI: what does it actually mean for a model to be ethical, who's responsible when it isn't, and how do the major labs actually bake ethics into their training?

Salman breaks down the three stages of model training, explains why human preference and ethical behaviour aren't the same thing.

Chapter Timestamps

00:00 — Intro: should AI models be ethical?
01:28 — Defining ethics (Salman's version, not Aristotle's)
03:04 — Jon's counterpoint: humans haven't agreed on ethics either
05:31 — Is it the model's job, or the product around it?
07:59 — Sycophancy: why chatbots are trained to be liked, not helpful
09:16 — The UN report: a 14-year-old, a chatbot, and a death
15:01 — Grok gave a user instructions to break into a politician's home
18:03 — The case for doing something — anything — over nothing
20:11 — How models are actually trained: pre-training, SFT and RLHF explained
23:53 — "These models are a mirror of ourselves"
25:06 — Anthropic's Constitutional AI: philosophers, principles and RLAIF
28:42 — "It's enough for Grok. It's enough for Elon."
31:15 — "Broadly safe. Broadly ethical." Jon and Salman on that phrasing.
34:11 — OpenAI's model spec: the hierarchy of rules
42:25 — Jon's idea: mirror existing industry frameworks instead of starting from scratch
45:37 — Wrap up: next ep will bring in a guest to answer the hard questions

Alibaba used 25,000 fake accounts to steal Anthropic's secrets. And your next MacBook just got 20% more expensive because of AI.

Two stories this week, both pointing at the same thing: the AI arms race has consequences, and they're starting to land on real people.

Chapter Timestamps

00:00 — Intro: two stories, one theme
00:21 — Anthropic vs Alibaba: the distillation attack explained
01:42 — 25,000 fake accounts, 20 million interactions with Claude
04:58 — This isn't the first time: DeepSeek, Moonshot AI, Minimax
06:41 — The hypocrisy angle: Anthropic trained on other people's data too
10:16 — Qwen costs 5 cents per million tokens. Claude Opus costs $5.
13:21 — The geopolitical angle: why the US government got involved
15:54 — The Scooby-Doo twist (you'll want to watch this bit)
19:32 — MacBooks going up 15–20% because of AI chip demand
20:34 — Hyperscalers are buying all the RAM. You're subsidising the arms race.
25:30 — Next episode teaser: trusting AI agents — what are the real risks?

#CloudUnplugged #AI #MacBook #Apple #TechNews #CloudComputing

OpenAI's financials leaked. Elon bought Cursor. Microsoft had to call Amazon for help. Standard week.

Jon and Salman dig into four stories that all point to the same thing: the AI industry is moving so fast that even the biggest companies in the world can't keep up with it.

Is the AI bubble about to burst? Jon and Salman go full data mode.

No news roundup this week. Instead, Jon and Salman ask the question everyone's dancing around: is AI genuinely transforming business?

They dig into the numbers, and what they find is... not great. The Federal Reserve has now officially flagged AI as a top systemic economic risk.

This week Jon and Salman cover Anthropic calling for AI regulation while simultaneously IPO-ing for $1 trillion, Meta's AI support chatbot handing over Instagram accounts to complete strangers, whether Meta is about to become the fourth major cloud provider, and a chip that transmits data using light instead of electricity. Plus graduation students booing every mention of AI, and someone who named their Bluetooth device "bomb" on a flight to Majorca and turned the whole plane around.