Sahil Jain

[Shreya Shekhar @_shreya_s]

@pitdesi long basis 💪🏽 💪🏽 we’re coming for harker

[vik @vikhyatk]

kids these days will never know the feeling of making matplotlib charts by hand

[Sahil Jain @splash_sahil1]

@resolveai @swaritjoshipura 🐐

[Sahil Jain @splash_sahil1]

@lilianweng All of your blog posts are so insightful - look forward to the next one!

[Sahil Jain @splash_sahil1]

Going grocery shopping when you're hungry is always a bad idea...

[Sahil Jain @splash_sahil1]

If you ever forget how fast AI is progressing, just go back and look at ChatGPT from 1-2 years ago.

[Nikesh Arora @nikesharora]

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

[Elon Musk @elonmusk]

Happy Father’s Day!

[swarit @swaritjoshipura]

https://t.co/OliObb1eOE

[Tesla North America @tesla_na]

A Model Y driver started experiencing a medical emergency with chest pain mid-drive & called his son.

His son then remotely rerouted the car – which had FSD Supervised enabled – to the nearest hospital & let them know the vehicle was en route. ER staff were standing by on arrival.

Doctors later confirmed the quick reroute likely saved his life.

[Polymarket @Polymarket]

JUST IN: Tesla Robotaxi has recorded zero at-fault incidents since February, according to newly released NHTSA data.

[Sahil Jain @splash_sahil1]

I can't believe we went from paying $5 at subway for a footlong to $8.50 for a latte :(

[Andrej Karpathy @karpathy]

In awe of SpaceX and its story - past, present and the future. You can think about it in 10+ different ways and continue re-blowing your mind in circles. Huge congrats to the team! 🚀

[Sahil Jain @splash_sahil1]

@BostonDynamics Wow, super impressive!

[swarit @swaritjoshipura]

https://t.co/r9XJdR32WT

[Bojan Tunguz @tunguz]

Putting Silicon into Silicon Valley again.

[Sahil Jain @splash_sahil1]

@swaritjoshipura ����📈

[Sahil Jain @splash_sahil1]

@kamalgupta09 Will report back

[Sahil Jain @splash_sahil1]

Time to find out if Anthropic has an RL environment for your taxes