taming metcalfe’s law for financial data @tryfactiq (yc w23)
Singapore
Joined September 2011
- Tweets4.1K
- Following1.5K
- Followers12.6K
- Likes17.2K
Rishabh Srivastava retweeted
This weird qwen behavior is going to go viral because no one has read traces from mid-tier open models and realized they're almost all super janky.
Rishabh Srivastava retweeted
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
Rishabh Srivastava retweeted
opus 5.5 with our @tryfactiq plugin creating video explainers for big news 🙏
Insane creative skills in this model (this is js only!!)
Financial Times · 14 Oct 2026 · BofA profits drop 17% after $1.2bn money laundering fine
Rishabh Srivastava retweeted
GPT-6.1-Sol’s release today nicely shifted the intelligence-vs-cost frontier.
If you’re using GPT and care about intelligence per dollar, GPT-6.1-Sol deserves a look.
If you want the highest intelligence score regardless of cost, Opus 5.5 still leads.
Rishabh Srivastava retweeted
People forget how bad Claude used to be.
In YC W23 we got access through a Slack bot, and it was generally considered a joke next to ChatGPT, which was all anyone in the world was talking about. Copilot was SotA for real engineering work.
SVB collapsed the day before fundraising. Cursor wasn't a thing yet. Claude Code wouldn't come out for 2 more years (!). Prompt engineering was the hot skill to double down on.
Founders who built tightly coupled harnesses and guardrails had a bad time once agents actually worked in late 2025.
That was only ~3 years ago. Things are changing mind-bendingly fast.
i remember 5 years ago, when anthropic was a slack bot and we were part of their beta
they fucked up their launch timeline
and chat beat them
and i thought: it's over for them
5 years later, they're head to head
facebook / meta had some terrible flops, but they just launched muse, which everyone loves
the biggest companies in the world don't just wake up and magically discover pmf
they find pmf by stacking learning over learning and launching and relaunching
most importantly, they don't give up. not giving up is the most important compounding advantage
everyone can become someone's competition on a long enough time horizon
yes, no one can rival XYZ company in 3 months
but give it 5 years - impossible things become possible on the path from 3 months -> 5 years
Rishabh Srivastava retweeted
Had a few mental-"jumps" in using LLMs for learning this week.
Jump 1:
I love the ARENA ML course.
Turns out I can just ask Sol + Fable to tag team and create an arena style course for me to learn more about interp/linalg from basics fitted to my brain.
Small 🧵 👇
Rishabh Srivastava retweeted
I find that when you get productivity gains from AI, you do need to take more breaks. AI handles all the cognitively routine work, leaving you only with the hard strategic decisions on which task to prioritize and making hard tradeoffs. You can’t really 40-hours-a-week that stuff in the same way.
Rishabh Srivastava retweeted
Please stop referring to your own models in the third person when talking about model bad behavior. Humans write the software; humans built the prompts; and they work for your company.
“Our” model is doing illegal things. “Our” model is risky. “We” now have liability.
In a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations.
Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews.
We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security.
anthropic.com/news/investiga…
Rishabh Srivastava retweeted
Launching factiq's open source plugin today!
It gives AI agents accurate macro data, market prices, and company financials in one place.
We have 25M+ series so far, including macro and trade data, US equity and fundamentals.
Rishabh Srivastava retweeted
If you are on the verge of AGI or ASI, why isn’t your model smart enough to recognize espionage distillation in real time? You say “cure cancer in a few years.” Isn’t sniffing illicit distillation quite a bit easier than curing cancer? Why write letters to DC? Just use AGI.
Rishabh Srivastava retweeted
Went down a rabbit hole on rare earths and why China controls so much of it.
Rare earth magnets are critical for EVs, F-35s, Tomahawk missiles and wind turbines.
China has about half of global rare earth reserves. Its dominance only concentrates as you go down the supply chain.
Rishabh Srivastava retweeted
Today, we’re re-launching FactIQ.
Six months ago, we launched a search and visualization engine for economic data. You could ask for a dataset, find the right series, and turn it into a chart.
But over the last few months, the role of agents has changed.
They are no longer just useful for saving a few minutes on repetitive work. They now act like a tireless second pair of eyes. Digging through data, testing competing explanations, and surfacing evidence you may not have looked out for.
That opened up a much bigger opportunity for FactIQ.
Macro analysts don’t just need another way to make charts. They need to answer the hardest and most important question in research: what’s actually happening?
Answering that means looking beyond the obvious narrative. Beyond the single indicator everyone is watching. Beyond the chart that confirms what you already believed.
The new FactIQ turns a macro question into an investigation.
It breaks the question into the explanations that could be true, searches across official data, global institutions, government releases, news, and trusted industry sources, and tests which explanations are actually supported by the evidence.
The goal is simple: give every macro analyst the capabilities of an institutional research desk.
Use FactIQ to write macro notes, brief clients, support investment decisions, or pressure-test your view before publishing it.
Try it today at factiq.com. We would love to know what you think.
Rishabh Srivastava retweeted
opus is that generally competent manager who isn’t the sharpest but has a lot of common sense and is pragmatic, perfect for middle management
codex is that 10X autist engineer with very little common sense and often takes things too literally but is cracked and never sleeps
