Thomas Sachson, JD

Banker, Attorney & Operational Executive (Asian Development Bank / ex-Merrill Lynch / ex-Intel / ex-Sony) Virginia JD / Vanderbilt BA Economics / 14 Patents

[Thomas Sachson, JD @TSachson]

Today we honor and remember those who gave their lives in service to our country. 🇺🇸

Their sacrifice should never be forgotten. #MemorialDay

[Thomas Sachson, JD @TSachson]

Fire is a function of early drop time. More time before first drop, more damage. LA needs drones yesterday. See video: https://t.co/IjVh3IJFcI

[Thomas Sachson, JD @TSachson]

Google and Blackstone to Create New AI Cloud Company - The Wall Street Journal https://t.co/RS36XCDsjV

[Massimo @Rainmaker1973]

Do your kids do chores?

An 85-year ongoing study conducted by Harvard researchers has found a strong connection between doing chores and later professional success and happiness.

[Thomas Sachson, JD @TSachson]

#Choreography win 🏆

[Thomas Sachson, JD @TSachson]

ADB Launches $6 Billion Initiative and Institutional Support to Deepen ASEAN Capital Markets https://t.co/0TOGkXweqE via @adb_HQ

[Thomas Sachson, JD @TSachson]

Thanks for sharing. But long-term I think this is the play —> I read the recent #Guardian interview with #Suno’s CEO on #GenerativeAI and the future of #Music.

It’s a thoughtful piece — and I agree with a core premise: #BlackBox AI music generation is now being actively governed, licensed, and normalized. That work matters, and it’s an important first chapter.

But the interview also surfaced a quieter question for me: 👉 Is #BlackBox AI music generation actually the most disruptive AI model the music industry will face?

I don’t think so.

I’ve just published a short paper arguing that a different AI+human #hybrid model — #AI #Stem #Deconstruction and #Human #Reassembly — may pose a faster-moving, more identity-sensitive, and potentially more economically explosive challenge if left ungoverned. 🚀 🆔 💰

Not as a critique of Suno or recent licensing efforts, but as a look one move ahead ♟️ — at where artist identity, fandom, remix culture, and monetization actually collide.

Guardian interview (Suno):
🔗 https://t.co/CH5llLmVbk

My paper — The Music Industry and the Other AI Threat (Jan 20, 2026):
📄 https://t.co/q5DHvd3Y6n

Note -- Sharing this as a respectful extension of the conversation. If useful, I’d be happy to adapt it into a guest POV or op-ed for broader discussion.
The Guardian Rolling Stone Variety Billboard Music Business Worldwide (MBW)

#MusicIndustry #AI #MusicTech #Stems #CreatorEconomy #Copyright #Governance

[Thomas Sachson, JD @TSachson]

Last week, the #CitriniResearch forward-dated memo "The 2028 Global Intelligence Crisis" demonstrated how writing from the vantage point of the future can make structural risk harder to ignore.

Using that same device, I applied it to recorded music.

“The Stem Event” (link below) imagines a June 2028 industry memo written after a different kind of shift — one driven not by generative “black box” AI creation, but by AI-powered stem separation and deconstruction.

In short, when AI-driven stem extraction converges with fan and creator participation, derivative music production can scale far faster than governance infrastructure — and in the process, value may migrate away from governed monetization platforms.

#Music #AI #Stems #Agentic #Citrini #Future #Udio #Suno

https://t.co/bzWpsHlSRj

[Thomas Sachson, JD @TSachson]

#AI & the #TicTacToe #Economy

I’m working on a concept paper exploring what I’m calling The Tic-Tac-Toe Economy — and I’d genuinely welcome debate before I finalize and circulate it.

Here’s the core idea I’m pressure-testing:
In Tic-Tac-Toe, once both players understand the game, no one can lose. The result is a draw. Knowledge advantage disappears.

AI may be pushing large parts of the economy in that direction.

At the execution layer, AI has the potential to level-set baseline capability. When information becomes symmetric, margins compress. Extractive advantage trends toward zero.

But here’s the crucial nuance:
AI levels capability.
It does not level #Reputation, #Trust, #Networks, #Brand, #Distribution, #Capital or #Creativity.

If anything, those may become more decisive.

When everyone can generate competent analysis, draft contracts, write code, or produce content, differentiation shifts to:
• Who is trusted?
• Who has a track record?
• Who controls distribution?
• Who is embedded in decision networks?
• Who exercises judgment under uncertainty?
• Who is more #creative?

AI flattens the floor.
It lowers barriers to execution.
But it does not flatten the social graph.

Execution becomes commoditized.
Coordination and trust become scarce.

Open question:
Does The Tic-Tac-Toe Economy democratize opportunity — or does it amplify existing network advantages?

Constructive pushback very welcome before I lock this into the paper.

#AI #FutureOfWork #Innovation #Economics #Leadership #DigitalTransformation #AgenticYears
https://t.co/8fr7hoyFlj
Image Credit: The Chess Players by Honoré Daumier

[Thomas Sachson, JD @TSachson]

Holy cow — Meta strikes up to $100B AMD chip deal as it chases ‘personal superintelligence’ https://t.co/TIhImrM5ag via @techcrunch

[Thomas Sachson, JD @TSachson]

@garrytan YC could stop it with one app.

[Thomas Sachson, JD @TSachson]

Amazing

[Massimo @Rainmaker1973]

In just a year, these robots went from machine-like to almost human

A 2025 vs 2026 comparison at the Chinese Spring Festival Gala shows unbelievable progress.

[Thomas Sachson, JD @TSachson]

Wow

[Ruairi Robinson @RuairiRobinson]

This was a 2 line prompt in seedance 2. If the hollywood is cooked guys are right maybe the hollywood is cooked guys are cooked too idk.

[Thomas Sachson, JD @TSachson]

Last day on the #SonyPictures studio lot for the foreseeable future. Stay tuned for details…

[Massimo @Rainmaker1973]

Reporter left speechless after witnessing Japan's new $70 million Maglev train in action at 310 mph

[Thomas Sachson, JD @TSachson]

We usually think of the #NobelPeacePrize as something awarded for diplomacy or humanitarian work.

But there is another category of peacebuilding: technologies that reduce scarcity, improve prediction, enable individuals to escape poverty, and foster global coordination at scale.

By turning GPU-accelerated computing into a general-purpose scientific and AI substrate, #NVIDIA founder and CEO #JensenHuang has helped unlock advances in climate modeling, medicine, energy systems, and intelligence itself.

That shift materially changes how humanity anticipates risk, manages resources, creates opportunity, and resolves conflict.

On those grounds alone, I think Jensen Huang’s work merits serious consideration for a Nobel Peace Prize. Please share and #like if you agree.

[Ricardo @Ric_RTP]

Jensen Huang just BROKE the most important rule in the industry.

And it explains why Nvidia controls 95% of the AI chip market.

Last night at CES, he unveiled Vera Rubin - the new AI supercomputer that's shipping right now.

Full production started weeks ago.

But here's the part that made every semiconductor engineer in the room go crazy:

Reuben GPU is 5x faster than Blackwell.

But only has 1.6x the transistors.

That should be physically impossible.

Moore's Law says you get maybe 25% more performance per transistor generation.

Jensen just delivered 300%.

How?

He BROKE the most sacred rule in chip design.

The rule every company follows: "Never redesign more than 1-2 chips per generation."

Nvidia redesigned all six chips simultaneously.

Vera CPU. Reuben GPU. Connect X9 networking. Bluefield 4 DPU. MVLink switches. Spectrum X Ethernet.

Every. Single. Component.

From scratch.

He calls it "extreme co-design."

The industry calls it insane.

One rack now moves 240 terabytes per second.

That's TWICE the entire global internet bandwidth.

In a single rack.

And it runs on 45°C water - no chillers needed.

Which saves 6% of global data center power.

But the real story isn't the hardware...

It's what they're doing with it.

Nvidia just open-sourced Alpha Mayo.

The world's first reasoning autonomous vehicle AI.

Mercedes-Benz CLA launches with it in Q1. Europe Q2. Asia by year-end.

Not a concept car. Not a limited release.

Full production vehicles.

And the AI will even explain its reasoning out loud.

"I'm slowing down because the truck ahead is braking and there's a cyclist merging."

It thinks. Then tells you what it's thinking. Then executes.

Jensen drove it through San Francisco for an hour yesterday.

No hands. No interventions.

Through heavy Sunday traffic.

The whole thing is open source now.

Every line of training code. Every data source. The entire stack.

But why would Nvidia give this away?

Because they learned something from the last year:

Open models activated the entire world.

DeepSeek R1 proved open source can hit the frontier.

Downloads exploded. Every country, every startup, every researcher can now build AI.

And they all need Nvidia hardware to train it.

That's the strategy.

Give away the recipes. Sell the kitchen.

The partnerships tell you where this is going:

Siemens is integrating Nvidia into every industrial design tool.

Cadence and Synopsys are rebuilding chip design around Nvidia.

Palantir, ServiceNow, Snowflake - their entire platforms now run on Nvidia's agentic AI stack.

This isn't just selling chips anymore.

Nvidia is rebuilding the entire computing stack.

From design to manufacturing to deployment.

Every layer of the trillion-dollar AI infrastructure buildout runs through them.

And now they're 18 months ahead of everyone else.

Again.

The competition is still trying to match Blackwell.

Nvidia's already shipping the thing that makes Blackwell look slow.

What do you think - is anyone catching them?

The only company capable of this might be Google.

[Thomas Sachson, JD @TSachson]

#NobelPrize for Jensen Huang @nvidia

[Ricardo @Ric_RTP]

Jensen Huang just BROKE the most important rule in the industry.

And it explains why Nvidia controls 95% of the AI chip market.

Last night at CES, he unveiled Vera Rubin - the new AI supercomputer that's shipping right now.

Full production started weeks ago.

But here's the part that made every semiconductor engineer in the room go crazy:

Reuben GPU is 5x faster than Blackwell.

But only has 1.6x the transistors.

That should be physically impossible.

Moore's Law says you get maybe 25% more performance per transistor generation.

Jensen just delivered 300%.

How?

He BROKE the most sacred rule in chip design.

The rule every company follows: "Never redesign more than 1-2 chips per generation."

Nvidia redesigned all six chips simultaneously.

Vera CPU. Reuben GPU. Connect X9 networking. Bluefield 4 DPU. MVLink switches. Spectrum X Ethernet.

Every. Single. Component.

From scratch.

He calls it "extreme co-design."

The industry calls it insane.

One rack now moves 240 terabytes per second.

That's TWICE the entire global internet bandwidth.

In a single rack.

And it runs on 45°C water - no chillers needed.

Which saves 6% of global data center power.

But the real story isn't the hardware...

It's what they're doing with it.

Nvidia just open-sourced Alpha Mayo.

The world's first reasoning autonomous vehicle AI.

Mercedes-Benz CLA launches with it in Q1. Europe Q2. Asia by year-end.

Not a concept car. Not a limited release.

Full production vehicles.

And the AI will even explain its reasoning out loud.

"I'm slowing down because the truck ahead is braking and there's a cyclist merging."

It thinks. Then tells you what it's thinking. Then executes.

Jensen drove it through San Francisco for an hour yesterday.

No hands. No interventions.

Through heavy Sunday traffic.

The whole thing is open source now.

Every line of training code. Every data source. The entire stack.

But why would Nvidia give this away?

Because they learned something from the last year:

Open models activated the entire world.

DeepSeek R1 proved open source can hit the frontier.

Downloads exploded. Every country, every startup, every researcher can now build AI.

And they all need Nvidia hardware to train it.

That's the strategy.

Give away the recipes. Sell the kitchen.

The partnerships tell you where this is going:

Siemens is integrating Nvidia into every industrial design tool.

Cadence and Synopsys are rebuilding chip design around Nvidia.

Palantir, ServiceNow, Snowflake - their entire platforms now run on Nvidia's agentic AI stack.

This isn't just selling chips anymore.

Nvidia is rebuilding the entire computing stack.

From design to manufacturing to deployment.

Every layer of the trillion-dollar AI infrastructure buildout runs through them.

And now they're 18 months ahead of everyone else.

Again.

The competition is still trying to match Blackwell.

Nvidia's already shipping the thing that makes Blackwell look slow.

What do you think - is anyone catching them?

The only company capable of this might be Google.

[Thomas Sachson, JD @TSachson]

#Masterclass #Inference #AI

[sunny madra @sundeep]

This was only two months ago.

I suggest going back and listening to it again, I just did myself.