Amit Patel

Slopfed engineer @finchlegal. Formerly ran a book at a multistrat and quant @twosigma

[Amit Patel @bloopmit]

@DylanAbruscato Does the firm that’s about to hit the biggest venture home run ever (after being a top fund for decades) really need to convince founders lol

[Amit Patel @bloopmit]

Funniest part is how his talking points keep having to change when they get proven wrong

[JustDario @DarioCpx]

To go out publicly and say what he is saying, @edzitron has balls the size of the Las Vegas sphere

[Amit Patel @bloopmit]

Next episode in thiels hot tub pls

[Founders Fund @foundersfund]

MAFIA EP 001

[Amit Patel @bloopmit]

This is triggering my striver Bay Area highschool PTSD lmao

[forward deployed ccp gf @FangYi11101]

another candidate resume landed in the inbox..😒

[Amit Patel @bloopmit]

@kevinxu Pretty easy to just divide the value by the shares and look it up…

[Amit Patel @bloopmit]

@DeepDishEnjoyer Big data + big model go brrr

[Amit Patel @bloopmit]

Am super bullish on this too, but I do feel like a bit of this trend (especially earlier on, ie Altos Labs raising 3B in 2022) is better described as “super rich people have extremely large marginal propensity to spend on living longer” - what makes it potentially different this time is really AI

[Amit Patel @bloopmit]

@pchopra28 Love to see one of the boys go through a WW2 phase

[Amit Patel @bloopmit]

Frontier lab IPO rush is making a lot more sense seeing something like this. The greatest competition was always with open weights! Multi agent systems using a smarter “advisor” model to drive workers is something we’ve had success with @finchlegal already. Very bullish on the future of “build / host your own workflow specific agents”

[Harvey @harvey]

We partnered with @FireworksAI_HQ to train open-source models for legal. Here's what we found:

1) Hybrid legal agents can beat frontier models on quality and cost by routing selectively to a frontier advisor.

We tested a hybrid setup where GLM 5.1 served as the primary worker, routing tasks to Opus 4.7 as an advisor when needed.

GLM invoked Opus sparingly, just 0.83 times per task on average.

The hybrid setup beat Opus on both quality and cost: 18% all-pass vs 14%, at $368 vs $954 across the same 100 tasks.

2) Post-training can push open models to frontier-level legal performance.

On a 100-task slice of our Legal Agent Benchmark (LAB), SFT moved Kimi 2.6's all-pass rate from 11% to 15%, beating Opus' 14%.

But the cost gap was even more striking: $84 vs $954 across the same 100 tasks, or ~11x cheaper.

We're excited to continue working with @FireworksAI_HQ on the next generation of open-source legal agents.

[Amit Patel @bloopmit]

@mansourtarek_ Would love to see a real estate / rent hedge! Especially as someone who is considering eventually moving back to the Bay from NYC, it'd be nice for me to be able to hedge my relative housing cost exposure.

[Amit Patel @bloopmit]

Everyone was schilling this narrative when crypto got big. 5 years later all of the shitcoins are gone but the opportunities to make money got way bigger. Don’t listen to this doomer stuff, if you approach things long term and optimistically there’s always more upside.

[Neet @neet_sol]

you get a short period when you're young to hyper gamble into elite status and if you fail you just end up wage cucking for life

[Amit Patel @bloopmit]

Will be sitting at the bar counting people to front run the hedging flow

[Ben Horney @BenHorney]

A NYC bar is doing a promo for Game 1 of Knicks-Spurs:

If NY wins, the bar picks up your tab (up to $100 per guest). If the Knicks lose, you pay your own tab. The bar putting $5k on the Knicks to win on Kalshi.

The idea is a proof of concept for hedging on prediction markets.

[Amit Patel @bloopmit]

20K order moves the price of this thing by 8% btw

[Lisan al Gaib @scaling01]

Anthropic is up 137% since Claude Mythos was announced 2 months ago

[Amit Patel @bloopmit]

Now I have become death, writer of premiums

[nico laqua @nico_laqua]

Maybe that culture is fine for you at linear, and it looks like it’s working great for you! You’ve created something worth over a billion dollars in 7 short years, that’s something very few people on the planet have done before.

But sometimes there are big problems that need solving, and there is more creative thinking, not less, that happens with contact with the big problems. In our case, creating the financial operating system that owns the creation, transfer, financing, and investment of risk, using AI to automate the paperwork of the most regulated entities to make every business and person a little more profitable, waste a lot less time, and be more protected, is a big problem.

Maybe there were super geniuses at the Manhattan Project working 1 day per week like zen masters. I doubt it though, because if you’re obsessed with a problem, you work hard. Nowhere did I or do I glorify lack of sleep (I always think sleeping right and exercise are very important), and different people have different visions, cadences, and ways they want to run their companies. And that’s ok, but you attacking our style based upon sound bites when we are solving a really important problem, by market sizing probably the biggest problem large language models can solve, isn’t it.

[Amit Patel @bloopmit]

@Aella_Girl @avi_eisen So your ideal direction for society was “smart people who steer in the correct direction”? Isn’t that just a tautology? Obviously we would hope the people who run society make good decisions

[Amit Patel @bloopmit]

@nico_laqua @karrisaarinen Is that why you spent your entire interview self-mythologizing instead of talking about the insurance industry?

[Amit Patel @bloopmit]

@blc_16 @AnthropicAI Please regale us with stories of working 7 days a week producing an unprecedented amount of slop!

[Amit Patel @bloopmit]

My favorite part of this whole controversy is how little time (literally 0 - it seems) was actually dedicated to insurance in this interview. If insurance is why you work 7 days a week/20 hours a day, you'd think it would be more of an interview topic? Why not talk about what you want to fix instead of hagiography and "Alexander and Napoleon"? I think what people responded to negatively here wasn't "I work hard" it was "I work hard for the sake of talking about working hard"

[Amit Patel @bloopmit]

@martin_casado doesn’t this sort of assume that training an equal quality model isn’t getting more efficient over time? The whole point is that the same capability that costs $2B now might cost $200M in a year

[Neil Sachdeva @neil_sachdeva]

In two weeks the eng team at Finch is transforming our office into a speakeasy with great drinks, wonderful company, and a little Gatsby-esque glamour.

We are always looking to meet and talk to talented folks, so bring your engineering friends along! Help us find our next Daisy!

(RSVP link in comments)