From Capitol Halls to Chipboard Deals: How AI Policy and Nvidia’s $500 Billion Funding Could Redefine America’s Tech Landscape
Missouri’s bipartisan lawmakers are quietly laying the groundwork for the nation’s first comprehensive AI infrastructure guardrails, a move that could ripple far beyond the Show-Me State.
At the same time, Wall Street titans like BlackRock and Apollo are teaming up with Nvidia to unlock half‑a‑trillion dollars in financing, a partnership that reshapes the economics of artificial intelligence.
In Jefferson City, a coalition of Republican and Democratic legislators has introduced a bill that would tighten oversight of AI data centers, mandating community vetting procedures before any new facility can be approved. The proposal, reported by MSN, aims to give local governments a louder voice in decisions that affect everything from electricity consumption to job creation. Proponents argue that as AI models grow ever larger, the physical footprints of the servers that run them become critical public policy issues. Critics, however, warn that over‑regulation could stifle innovation and drive tech investment to friendlier jurisdictions.
A Little Model Goes A Long Way
I was recently having a discussion with someone about AI models. He kept saying things about how, if I'm not using the latest & greatest models like Fable 5 and Sol, that I'm basically wasting my time and that I'll never get anything substantive from AI.
Fake It Till You Make It
A guy who used to work for me told me a story last week that I haven't been able to stop thinking about.
His new team has been leaning on AI more and more in their dev workflow. Lately they've been getting a weird spike in bug complaints on one of their apps. So they run their tests. All green. Every time.
No human has touched that code in almost a year. So what's going on?
AI's Dark Side in Africa: How Machine Learning is Fueling a Surge in Cybercrime
Artificial intelligence is now implicated in more than half of cybercrimes across the continent, signaling a troubling new frontier for digital security.
A fresh report warns that 55 percent of cyber attacks in Africa are powered by AI tools, prompting governments and tech firms to scramble for solutions.
The data, highlighted by MSN in a recent investigative piece, paints a stark picture: from automated phishing campaigns to deepfake fraud schemes, AI is no longer a peripheral aide but a core component of malicious actors' arsenals. While the continent has long battled traditional cyber threats, the infusion of machine learning algorithms has amplified both the scale and sophistication of attacks, leaving many businesses, banks, and even individual users vulnerable.
Your Employees May Be Giving Away Your Company's Crown Jewels
Quick question: do you know where your company's data goes after an employee pastes it into ChatGPT, Gemini, Claude, or any of the other cloud-only AI providers?
I'm not being dramatic here. I'm just genuinely asking because most business owners I talk to haven't thought about it, and I get why. AI tools are fast, they're helpful, and they make everyone's job easier. So, people use them. A lot!
Why I Stopped Training LLMs
In 2022 I spent 10 months training a 7B LLM from scratch. No fine tuning. No starting model like GPT2. Just some Python code, lots of training data, and lots of overheating GPUs. That model is still in use on our Symbient.ai platform and works great for what it was built for.
A year ago I would've told you the model was everything.
Bigger context windows. Better benchmarks. Whoever had the smartest model won.
AI Doesn't Take Sick Days, But It Should
Anyone else notice AI has moods?
Some days it's sharp. On point. Exceeding expectations, no complaints.
Other days it's phoning it in like an employee who checked out three meetings ago. Same prompt. Same context. Same rules. Completely different output - and not in a good way.
Augment or Automate?
One thing I've noticed in almost every AI conversation is that people still tend to fall into 1 of 2 camps:
Replace the people.
Or...
Keep the people.
I don't think either position is completely right.
What's Next After AI Agents?
Ok, hear me out on this one.
AI agents are impressive. Genuinely. They can knock out repetitive, well-defined tasks without you lifting a finger. But, if you've been in the trenches with them, you've probably had at least one "wait, why did it do THAT?" moment.
That's the real limitation right now. It's not intelligence. It's trust.
To AI or not to AI
I got an email last week from someone stuck on this exact question: should they let AI write their social content, or is that just .... fake?
They felt torn. Using AI felt disingenuous. But they also didn't feel like a "good writer" either.
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