The skinny on what's happening in AI - straight from the previous live session:

Highlights

🎯 Sam Altman Rebrands AI as "Abundant Intelligence" to Get More Money

Discussed at [00:01:35]

Sam posted a blog about building factories that produce 1 gigawatt of AI infrastructure weekly. Claims AI access might become a "fundamental human right" (like internet and electricity). Says we need this to cure cancer and educate every student on earth - but if compute is limited, we'll have to choose which one.

Kyle's take: This is clever messaging hitting all stakeholders - humanity (we'll cure cancer!), America (we'll beat China!), and investors (literal key to revenue!).

But here's the problem: scaling laws have diminishing returns. Just throwing more money at compute doesn't fix hallucinations, give models real-world grounding, or improve reasoning. We might need entirely different architectures, not just bigger models.

Throwing cash and compute at the problem has worked for ~10 years but there's no guarantee it continues. They're brute-forcing intelligence with cash - it's worked so far, but for how long?

Source: Sam Altman's blog post

💷 UK's Basic AI Tool Recovers £500M in Fraud

Discussed at [00:32:27]

Government used a GPT-4 based tool to recover £480 million in fraud, including £186 million from COVID schemes. The "Fraud Risk Assessment Accelerator" basically cross-references documents and generates draft risk assessments. Now potentially being licensed to US and Australia.

Kyle's take: I take back my UK AI slander - this is pretty cool. It's stupidly simple: they uploaded good/bad fraud assessment examples, fed in cases, and GPT-4 generates draft assessments. Probably buildable in weeks, not months. They're not trying to build foundation models, just using ChatGPT effectively.

This is what real AI implementation looks like - boring, practical, saves half a billion pounds.

Here’s a full government rundown if want to see how it works: Fraud Risk Assessment Accelerator.

Source: BBC

📝 Harvard Coins "Work Slop" - AI Making People Lazier

Discussed at [00:17:40]

Harvard Business Review says AI-generated “work slop" is destroying productivity. Survey shows 40% of employees received work slop last month - polished-looking AI content that lacks substance and creates more work for colleagues.

Kyle's take: Part of this argument is based on the MIT Nanda report. Which I’ve covered elsewhere and frankly is rubbish: it only looked at top-down pilot projects, ignored grassroots adoption which has 83% success rate.

The real issue with “work slop”?: lazy people now have tools to be more productively lazy. They're pumping out terrible reports and slides faster. These were likely the lazy people before AI and now they can just more efficiently be lazy…

But here's the question nobody's asking - if AI can fake your work, was that work valuable in the first place? Maybe AI is exposing that most corporate busy work (reports, decks, meetings) was always worthless.

Source: Harvard Business Review article

Member Question from Finn: "I work in wealth management/financial advice. Smaller firms are so far behind."

Kyle's response: You're sitting on a goldmine. Most mainly people use ChatGPT as a Google replacement. And poorly at that.

You know wealth management AND you know AI. That makes you the perfect translator. Go give workshops to these firms. Speak their language - use financial metaphors, not tech jargon.

Position yourself as "the AI guy for wealth management" - that's an incredibly valuable niche. These firms need someone who understands both worlds. That's you.

Discussed at [00:29:58]

Want the full unfiltered discussion? Join me tomorrow for the daily AI news live stream where we dig into the stories and you can ask questions directly.

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