Give me this much money and I will cure food hunger for you.

But Amazon and Anthropic has something different in mind.

Anthropic raised $4 billion from Amazon again to scale better and thought this could do more for the humanity.

Let’s hear them out, shall we?

Here’s what you’re going to explore this post:

• Anthropic raising $4 billion

• OpenAI’s “AI morality“

• LinkedIn co-founder on Elon Musk policy

Latest in AI…

Anthropic on raising $4 billion from Amazon

The story in simple terms:

Anthropic just landed another $4 billion from Amazon, bringing their total investment to $8 billion. It’s like Amazon went all-in on the AI poker table, and the chips aren’t just metaphorical they’re literally AWS Trainium chips (their competitor for NVIDIA’s).

Here’s the story:

• AWS = Home Turf: Anthropic has agreed to make AWS its go-to training platform for building its Claude models. Amazon’s Trainium and Inferentia chips will power the training and deployment, giving their AI a speed boost.

• Claude Goes Big: Anthropic’s Claude models will get early access to fine-tuning on AWS, making it easier for businesses to customize them. Plus, defense agencies are getting in on the action, using Claude for critical tasks.

Why Amazon Cares

It’s not just about chips. This partnership is Amazon’s way of staying relevant in the cloud AI arms race against Microsoft and Google. If Anthropic succeeds, AWS wins big.

But Wait, It’s Not All Smooth Sailing

Anthropic’s next-gen model, Claude 3.5 Opus, is delayed. They’ve hiked prices on some tools, and the FTC is keeping a close eye on Big Tech AI deals like this one. Drama much?

The Big Picture

With $8 billion in backing, Anthropic is shaping up as a major player in AI. But the stakes are high, and the competition is fierce.

And hey, if nothing else, Anthropic and Amazon are proving that even AI needs a hype squad.

OpenAI is funding “AI morality“?

The story in simple terms:

OpenAI is funding research to see if AI can “get” morality. It’s a bold move, but it comes with a lot of challenges. Here’s what’s happening:

• The Project: OpenAI is backing Duke University researchers with a $1M grant to create algorithms that predict human moral judgments in areas like medicine, law, and business.

• The Goal: Train AI to act as a “moral GPS” for tricky decisions. Think: deciding who gets a kidney transplant or analyzing legal dilemmas.

• The Challenge: Morality isn’t universal—it’s subjective and culturally diverse. AI struggles here because it learns from biased internet data dominated by Western perspectives.

Why This is Complicated

• AI doesn’t “understand” ethics. It mimics patterns in its training data but lacks reasoning, emotion, or context.

• Past attempts, like the AI tool Ask Delphi, flopped. It could handle simple moral questions but failed when things got nuanced or reworded.

• Philosophers haven’t agreed on a moral framework in centuries—so how can we expect AI to figure it out?

My Take

Teaching AI morality is ambitious, but it feels like chasing smoke. I get the appeal but AI that can assist in ethical dilemmas sounds incredible. But can you really trust a machine to navigate something as messy and subjective as human morality? That’s a big ask. Let’s see how it plays out.

LinkedIn co-founder thinks something else about Elon’s policy…

The story in simple terms:

Reid Hoffman, LinkedIn co-founder and Inflection AI leader, has a lot to say about Elon Musk’s growing influence and it’s not all sunshine and rainbows.

In a Financial Times op-ed, Hoffman expressed hope for President-elect Trump’s potential to drive tech innovation. But he also flagged concerns about Musk’s involvement in shaping AI policies, calling it a “serious conflict of interest.”

Here’s the gist:

• Musk’s Expanding Reach: Musk owns or leads Tesla, SpaceX, Neuralink, and xAI. He’s now set to co-lead Trump’s advisory commission on government efficiency, the ironically named DOGE.

• Hoffman’s Worry: Musk could tilt AI policies to benefit his own company, xAI like scoring government contracts or creating rules that harm competitors.

• Broader Implications: Hoffman warned that Musk’s influence in regulated industries (think EVs, space exploration, and AI) could hurt the U.S. economy and stifle innovation.

Crypto and Trump: A Complicated Relationship

Hoffman also weighed in on Trump’s pro-crypto stance. He sees potential for stability in the industry if Trump ends inconsistent enforcement, but he’s skeptical. Could Trump use his regulatory power to boost his own crypto projects, like World Liberty Financial?

What we think?

Hoffman’s concerns make sense. Musk has shown he’s not shy about using his power to challenge rivals, and Trump’s history of targeting companies like Amazon shows this isn’t just theoretical.

The question is: Can we really expect fair policy-making when billionaires and their businesses are so intertwined with the government? It’s a lot to unpack, and Hoffman’s hope for a bright entrepreneurial future feels like it’s hanging by a thread.

But hey, maybe Trump and Musk will surprise us. Stranger things have happened.

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