attorney, innovator, investor legal tech background
Joined July 2023
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Systems > goals
My best advice is to stop using motivation as your only fuel. I know it feels great when you’re fired up, but it’s a short-term fuel source. That’s why the vast majority of people who start anything - diet, fitness, new projects - don’t finish. They run out of gas.
The only lasting fuel is routine. And you only get a routine by dragging yourself on the days when you have no motivation. Over and over.
I know that’s not the answer anyone wants. I wish I had a magic pill for you. But the only thing that works long term is showing up for yourself even when you don’t want to. Brute force.
I’m slightly crazy and don’t have any investors or consultants to listen to, so I’m giving people 50 dollars of their 100 dollar annual subscription back when they show up for themselves and complete a full program in my app. If that motivates you to start, it’s designed to build your routine to keep you going like it has for thousands of other people, so join us: arnoldspumpclub.com/pages/be…
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Confirmed: @Muse can sue people in small claims court
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The most meaningful relationships are achieved when you and others can speak openly to each other about everything that's important, learn together, and understand the need to hold each other accountable to be as excellent as you can be.
When you have such relationships with those you work with, you pull each other through challenging times; at the same time, sharing challenging work draws you closer and strengthens your relationships.
This self-reinforcing cycle creates the success that allows you to pursue more and more ambitious goals. #principleoftheday
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Thomson Reuters announced it is moving off Claude to Alibaba's Qwen to cut costs.
From today's Anthropic report: Alibaba extracted 151M+ Claude exchanges to help train Qwen.
TR now deploys Westlaw on a vast trove of stolen US IP.
@AnthropicAI's report: anthropic.com/threat-intelli…
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No matter what side you are on, the pace is set and nothing will stop it. It doesn't matter if it's Anthropic, OpenAI, Moonshot or others.
The question we should be pondering is how do we steer the outcome and what do we do when it inevitable comes, not how to slow things down.
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Courts are sorting AI into two bins: general models as transformative, purpose-built tools as substitutes. I think this line skips the actual fair use work, and I use TR v. ROSS to show why. And yes, I have a stake. I cofounded ROSS, the appeal is pending.
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The Navier Stokes proof drama is good foreshadowing for what happens / becomes important in the entire economy going forward: spotting opportunities, pointing models at them, and validating solutions faster than others. In other words, the economy / knowledge discovery increasingly looks like quant trading / pod shops / HFs, where having a differentiated view of why an opportunity is valuable and/or realizing that an opportunity is valuable (and that it can be plausibly captured/exploited) faster than others is all that matters.
This is from a piece I wrote in October 2025 and I think it will continue to hold a lot of explanatory power.
We congratulate Levent Alpöge and Tristan Buckmaster on their remarkable mathematical work.
We (the researchers and the agents) did not see any of their work through any means until they released it publicly — in particular, no specific user data was accessed in order to solve this problem.
While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.
However, our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs. unforced).
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“The highest form of peace is having no desire to be seen, validated or understood by anyone.”
— Epictetus
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Response from Thomson Reuters research head. What do you all think?
Thomson Reuters just announced their own post trained model Thomson-1 which is post trained on Qwen.
A caveat is that the benchmark in the press release compared the Thomson model with an outdated models including Gemini Pro 3.1 which was released more than half a year ago. And ChatGPT 5.5 had its reasoning turned off for some reason so it was the worst performing.
But the point is not about having the best model in the market that is competitive with the frontier but a good enough model for some legal workflows.
The reality is that it’s more of a cost control measure which makes sense. Simply using a Chinese OSS model is a hard sell to US corporate clients.
Notably the model will be deployed for Tabular Analysis which is the bulk summarisation of large document sets. I have heard that this feature is a big cost drain for Harvey and Legora as well. Doc review teams will put in hundreds of documents and run them in parallel. I’m sure Thomson is going to be more than enough for summarisation and will help TR save some money on tokens.
This is also a very interesting data point on large American companies shifting to using Chinese OSS models. Notably in 2024 TR worked with OpenAI to post train o-1 but that was never put into production. We are seeing a gradual decentralisation of value capture in the AI space
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Underrated life advice: Just be easy to work with. Show up on time. Do what you said you'd do. Bring solutions, not problems. Never create drama. Be responsive. Be emotionally consistent. Be kind. People will always want to support someone who just makes their life easier.
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Plenty of growth can be found in removing your vices, but the real leaps are unlocked when you stop clinging to your comforts.
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Marcus Aurelius wrote this over 1800 years ago:
“If it’s endurable, then endure it. Stop complaining.”
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como quitar la depresion en un video de 1 minuto:
más eficaz que los libros de autoayuda xitter.cf/RoyalSerf/status/20739…
