James Cham

@bloombergbeta; of the San Gabriel Valley; investing in 2050; working to improve the second derivative; looking for troublesome ringleaders!

[James Cham @jamescham]

Sometimes, all it takes is to find kindred souls to feel like the world is an amazing place.

[James Cham @jamescham]

Proud of both teams!

[Jeff Huber @jeffreyhuber]

excited to work with @pirroh and @amasad to bring the full power of AI to every knowledge worker and organization on earth.

[James Cham @jamescham]

OH in Palo Alto: I don't think any of us have internalized how much change is in the process of happening. Because this is still the “slowly” part.

[Dan Wang @danwwang]

I went to Phoenix to spend time with the Taiwanese community. TSMC will invest $265 billion and send thousands of engineers and their families, which marvel at their new lives in the Sunbelt

My first feature as a contributing writer to the New York Times:
https://t.co/n73RydKBiD

[Quinten Farmer @quintendf]

The only way to defeat the tide of slop is to raise our own expectations for what great work looks like

[Gabor Cselle @gabor]

It's no longer necessary to debate product experiences in abstract.

You can just build every permutation and see how each feels.

[James Cham @jamescham]

@guruchahal @lightspeedvp @warpsciences Congrats!

[Imran @isb]

Theory Ventures asked founders what they wanted from AI in GTM. 41% said they were aiming to improve rep productivity.

But the real question is: when every rep can do more, does the team win more business? Or does every buyer just receive more outreach?

[Will Manidis @WillManidis]

is there anyone in New York that can print and bind ~100 beautiful 150 page books within 7 days

[James Cham @jamescham]

@soleio @bot @meetgranola @tryramp @profound @framer @vercel @noondesign I love love this!

[James Cham @jamescham]

Some VC advice is very good!

[Josh Elman @joshelman]

Got to catch up with multiple friends from high school (30+ years ago) in the past few days

Conversation flowed just like it was yesterday, and easy to see how we have grown and stayed the same from who we were then

If you haven’t pinged an old friend in a while, do it now

[James Cham @jamescham]

"There are some 8 billion of these tiny supercomputers spread around the planet, interconnected via the internet" and we should help them be as weird and personal as possible... https://t.co/BG53pb7tdj

[James Cham @jamescham]

Rambler is nice on the new pixel phones but the big disadvantage is that you don't see what you're saying so it misses out on one of the fundamental advantages of a pixel: voice typing has been so fast that it feels like it's reading your mind.

[James Cham @jamescham]

@quintendf This is a wonderful story

[James Cham @jamescham]

@gentry Whoa

[james hong @jhong]

Lots of VCs kindof sound like this: "Your basketball team doesn't have a moat, any healthy human can throw the ball into the basket thingy. "

People who have not run companies before don't understand how much the team matters more than some imagined structural moat.

[James Cham @jamescham]

Surveillance as love language. https://t.co/GZfDg4TTg9

[James Cham @jamescham]

@adropboxspace That is a fair point!

[James Cham @jamescham]

Replit + Stripe Atlas + one of Bill Gross’s 1.2 million startup ideas = something you should work on today. https://t.co/aBQP5WnCFj

[Amjad Masad @amasad]

prompt -> corporation

[James Cham @jamescham]

@rblalock :)

[James Cham @jamescham]

What happens when the quant barbarians invade your industry?

[Matthew W. Granade @MatthewGranade]

One of the most important trends in business over the past few decades has been industries "going quant."
Think Renaissance Technologies in finance, Obama's quantitative campaign operation, or Billy Beane's Oakland A's.
Applying systematic, data-driven prediction to important decisions improves how an industry works and, more importantly, changes who wins.
I think AI is setting up the next wave. My three bets: trial law, entertainment, and general management.
Why now? AI makes far more information available for systematic prediction and makes it possible to generate and test alternatives that were previously too expensive to experiment with.
In my latest Faint Signals, I explore what makes an industry susceptible to going quant and where the next opportunities might emerge.
What other industries would you bet on?

What Goes Quant Next? https://t.co/l285sBUyjX

[James Cham @jamescham]

@sriramk @yoheinakajima has this notion of a work ledger that is basically a versioned text file where the agents to track progress on projects. Because every agent reads and writes to the same versioned directories then he can switch between agents and harnesses.