intelligence farmer. member of semi technical staff. prev @mercor_ai @scale_ai @McKinsey
San Francisco, CA
Joined April 2023
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one of the most important new benchmarks
far more relevant to most people than PhD-level reasoning or olympiad math
📣 Excited to introduce OfficeQA Pro V2, the next generation of OfficeQA Pro!
It's built on a new corpus of 120,000 PDFs provided by the U.S. Treasury.
Frontier AI agents average 26% accuracy. More info below 👇
databricks.com/blog/introduc…
Sid Potdar retweeted
Of course that’s your contention.
You’re just getting into an RL data startup.
You just got finished reading some thread about how the harness is better and the scaffolding is what makes the difference.
You’re gonna be convinced of that til next month when you decide the model is what actually matters, and then you’re gonna be talking about pure capability and how harness doesn't mean much. That’s gonna last until you read more tweets and say the old model vs harness dichotomy is already obsolete and the RL-harness lifecycle with pure outcome rewards fail on long-horizon non-verifiable work because of credit assignment then talk about process supervision without knowing what it even means.
Then you're gonna read some technical blogpost explained to you by sol as ELI5 about how cheap reliable process-level signal+solving credit assignment at agent scale is what actually matters.
and in the end you'll realize that you've been following what everyone is coming up with no original thoughts while burning VC money because you can't even do B2B sales properly when you could've just done powerpoints made by LLMs and shilled it on linkedin
increasingly suspicious of long-horizon tasks being a psyop by Big Token to prop up API revenues
nothing I’ve ever accomplished has required more than one context window
amateur hour behavior. you only have to slice the salami that thin if you don’t have much meat to start with
Salami Slicing
In a transactional context, sometimes your counterparty may try to essentially scam you for a small margin -- so thin that they hope you do not notice, or let it slide because it basically doesn't matter. By doing this over and over again, your counterparty hopes to accumulate some meaningful aggregate advantage.
This is an amateur technique, because Salami Slicers usually do not realize that:
1. People notice. They may not say anything. But oh man do they notice.
2. Being recognized as a Salami Slicer is extremely negative and will kill you in social and business contexts, because you are showing that you will compromise your ethics for trivial amounts of money (or whatever else is at stake). Nobody will trust you for anything significant if they know you're the type of degenerate to steal pennies while others aren't looking.
In fact, frequently, people will permit others to Salami Slice them as a kind of test -- will you do the wrong thing, thinking you can get away with it, for a small amount? A valuable signal. Thank you.
Skilled Salami Slicers will maintain some level of plausible deniability -- "I'm sorry, I forgot to keep this minor obligation", "oh I wasn't sure whether you were paying this or I was", "I thought I didn't have to do this thing because of that other thing", etc. But there are patterns to this, and you can sniff it out quickly. (For example, Uber's ETAs are always optimistic -- the cars are always late or on time, but never early. Huh.)
Some people will go 0-to-100 when they notice they're being Salami Sliced, because they understand what it says about their counterparty's view of themselves: it's extremely dehumanizing. If you try to strategically and deliberately deceive me for minuscule gains, then clearly your view of me is so low that you would cause me unlimited suffering if it was to your benefit. In a Schmittian sense, it's a hardcore Friend-Enemy distinction. Amateur Salami Slicers are occasionally surprised when they are spotted and receive the full Fuck You I'll Kill You, scorched-earth zero-mercy response: their counterparty understands the full symbolic reality of Salami Slicing.
I hate being Salami Sliced.
Sid Potdar retweeted
Today, we remember a legend.
On this day in history, Harambe would have celebrated another birthday. An icon that became part of internet history, American culture, and an entire generation’s timeline.
Tomorrow marks 10 years since we lost him. Ten years since the moment the world stopped scrolling and collectively mourned something bigger than a meme.
He became a symbol of loyalty, strength, chaos, unity, and the strange beauty of the internet bringing millions of people together for one cause: never forgetting Harambe.
Everyone remembers where they were when they heard the news. And somehow, a decade later, his legacy still lives on.
Gone, but never forgotten.
Rest easy to a true patriot. 🕊️🇺🇸
May 27, 1999 — May 28, 2016
Forever in our hearts.
saw trajectory’s great work with mercor up close, excited for them to make continual learning possible for every org
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.
We are a research lab and product company building the platform for Continual Learning.
Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs
We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.
We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor, @RogoAI to power their agentic systems, some of which we are already in production with.
We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.
AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.