The AI Business model trap: LLMs want cash flow to fund the race to AGI or the next model. Enter free consumer AI - they are losing a lot of money on the breadth of models to serve consumers for free! They are caught in the post training data trap, free consumer usage feeds post training needs, it can't be right to stop serving customers for free?
But they need money for the compute:
The monetization challenge is being pointed to Enterprises.
Phase 1 - seemed easy, value capture in coding, the most bottom up motion in enterprise - with low customization per customer. Developers continue to train coding, tasks and eventually will train flawless skills.
Phase 2 is where the challenge lies, showing true enterprise value. The promise of efficiency, accuracy, elimination of resources - that requires a different approach, build depth with harnesses, context, memory, solving for edge cases with deterministic guardrails! Build skill libraries - enter FDEs. Yes,FDEs will train the enterprise Waymos of the world.
The risk - high token pricing for enterprises while consumers for free! Yes for consumer distribution businesses (aka Google, Meta, Apple, etc) it makes sense to hold on the distribution with free AI.
If you want to win enterprise, you should be forward pricing tokens. The cheaper the tokens for enterprises it will allow for experimentation, workflow reimagination - instead CIOs are busy restricting AI use and working on making the use more efficient!
Paradox: They still haven't fully understood and embraced the value of AI in the enterprise.
If I were them:
1. Cut token pricing now, else send enterprises to secure opensource and end up with friction filled routing layers.
2. Show me how enterprises can use their context, training and data as their competitive advantage.
3. Build tools for rapid edge case learning and reducing false positives.
@HarryStebbings@sama@DarioAmodei@demishassabis
Blackstone-backed AirTrunk plans to invest more than INR 3,000 billion (US$30 billion) in India by 2030 in support of digital infrastructure capacity, says company statement.
NYC summers hate your weekends.
I analyzed 3 years of Central Park rain data to see if the feeling was real.
It was.
27 of 38 summer weekends had measurable rain.
That’s 71%.
Friday was the rainiest day of the week, with rain on 43.6% of summer Fridays. Basically worse than a coin flip for your evening plans.
Sunday had the highest rainfall volume of any day, averaging 0.17 inches. It may not rain every Sunday, but when it does, it commits.
Thursday was objectively the best day to be outside in NYC: lowest precipitation, clearest skies, least weekend-related misery.
The wildest stat:
70.8% of rainy Sundays were preceded by a gross Friday or Saturday.
The weekend basically telegraphs its own downfall.
I built a full dashboard using NWS Central Park data with every weekend tracked and every raindrop counted:
Markets in Taiwan and South Korea are making history:
The total market cap of Taiwan's stock market is up to a record $4.5 trillion, surpassing Canada’s $4.4 trillion for the first time.
Taiwan’s stock market value has also exceeded that of the UK for the first time 2 weeks ago.
This comes as Taiwan’s market cap has surged by +$2.7 trillion or +150% over the last 12 months.
At this pace, Taiwan could overtake India and become the 5th largest world market as soon as next month.
Meanwhile, South Korea's stock market cap is up to a record $4.1 trillion, having overtaken the UK last week, and on track to surpass Canada this month.
Collectively, the two markets have added +$4.6 trillion in market value over the last 12 months, driven by AI-related stocks.
AI is transforming Taiwan and South Korea into a global economic power.
NSE IX just launched Global Access, letting Indians buy US stocks like Apple and NVIDIA directly through GIFT City. It works under RBI's Liberalised Remittance Scheme (LRS). But the real story isn't the product. It's what happens to your order once it reaches the US. That market looks nothing like India's. Let's take a look in this thread.
🚀 We’ve raised a $9M seed to power Maximor – the AI-powered finance team that fixes the back-end grind.
💡 Finance is broken. And the solution isn’t another ERP.
A quick 🧵
Warren Buffett receives a standing ovation from a sold-out arena as he announces he will be stepping down from CEO at Berkshire Hathaway.
Buffett has been CEO for 55 years, making him the longest-serving CEO of any S&P 500 company.
Truly incredible.
Goldman Sachs CEO David Solomon says that AI can draft 95% of an S1 IPO prospectus “in minutes” (a job that used to require a 6-person team multiple weeks).
“The last 5% now matters because the rest is now a commodity,” per Solomon.
Nikki Glaser crushed Golden Globe roast:
- “Ozempic’s biggest night!”
- “You’re all so famous and powerful. You can do anything, except tell the country who to vote for.”
- “The Bear. The Penguin. Baby Reindeer, these aren’t just things in RFK’s freezer.”