mobile eng lead @ harvey. Previously @anthropic, @slackhq, @stripe, @cashapp

Vancouver, British Columbia
Joined May 2013
tosinaf retweeted
As much as I agree that there is a massive ambition gap between America and the rest of the world, much of the phenomenon can be explained by the exorbitant privilege that the French president Valery Giscard d’Estaing pointed out. The US dollar being the reserve currency of the world allows the US to support its economy with monetary and fiscal measures beyond the reach of other economies. Countries with massive trade surpluses with America support the American economy by pumping their foreign reserves into the American capital markets. It’s easier to be ambitious when you have the strongest, most prosperous economy in the world, with the deepest capital and bond markets that can support risk taking impossible elsewhere. This then creates a virtuous cycle where talent, money and technology concentrates in America as it’s the place where capital gets the highest returns. The idea of the daring American and the indolent and risk averse European can therefore at least be partly explained by the economic structure of the world where American is the dominant economic hegemon. This inability to compete due to structural reasons then turned into cynicism over time. But remember that Europe was the economic hegemon with the greatest technology and scientists in the world until it lost its dominant position after two world wars.
there are people who see this and admire the sheer absurdity of human ambition and others whose first instinct is to go "what's the point?", "it's not really flying", "it's unviable" etc let's create a country with the former
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tosinaf retweeted
Introducing Intake, where every ask to legal gets routed and resolved. Requests come in through the tools your business uses, including email, Slack, Jira, and ServiceNow. Intake gathers the right context, then routes and resolves requests using your legal team’s rules: where each request goes, what agents can resolve autonomously, and what needs a lawyer’s review. Answers and follow-ups go back through the same channels. Go from request to resolution faster with Intake.
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tosinaf retweeted
We experimented with wake-sleep learning algorithms for long-horizon legal agents. We found: 1) Wake-sleep meaningfully improves agent performance on complex tasks. 2) Memory and context written offline during sleep generalizes to new matters and task types the agent did not see in training. 3) Retrieving only the memories relevant to each task, rather than reading them all, halves cost per task while maintaining average quality. Deep dive by @nikogrupen:
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When I shared @harvey’s model strategy a few months ago, there were two parts: 1. Build our own model 2. Use that to help customers do the same We’ve done the first. Now we’re hiring for the second: Harvey’s Private Model Program. We’re seeing huge demand from law firms to own their own intelligence leveraging private data. This will enable them to become frontier firms that get smarter with every client matter. You’ll:
 - Partner with law firms to build these systems. - Build the team that delivers this at scale.
 - Work with our technical org to define the platform that powers this team. We’re looking for a technical PM or founder type to own Harvey’s Private Model Program. DM me if this sounds interesting.
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when folks complain about claude’s writing. do they read every word or do they scan/skim?
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Hodl $Stripe
Here's Stripe's letter to investors explaining its acquisition of OpenRouter (LEAKED)
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OpenRouter is joining Stripe: stripe.com/newsroom/news/str…. As anyone who uses it knows, @OpenRouter is a truly delightful developer tool. It is by far the best way to use new models and manage multiple inference providers. OpenRouter is also playing an increasingly important role: in the future, every business will have to manage both revenue flows and token flows. OpenRouter is the world's leading token marketplace, helping businesses effectively allocate the new currency of intelligence capital. We think that there's a lot to build together.
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tosinaf retweeted
Your goal as a software founder is to never let your spoon get bent
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tosinaf retweeted
I talk to engineers at other companies every day and hear the same thing: one person is 10x'ing their output with Claude but the rest of the org hasn't caught up. Watching teams adopt AI, I keep seeing the same 4 steps. I mapped them out here: Steps of AI Adoption claude.ai/code/artifact/bfdf…
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is it vibe coding if i spend 3 hours iterating on the plan? lol
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I work in government affairs at OpenAI. My job is federal partnerships. When an agency wants our models, I make sure the paperwork is beautiful. Paperwork is my love language. On my desk I have a framed quote that says "Policy Is Just Code That Runs on People." I bought the frame at Target. It was in the Live Laugh Love section. I did not see the irony at the time. I still don't. We had a good week. On Monday, we closed a $110 billion funding round. One hundred and ten billion dollars. Amazon put in fifty. Nvidia put in thirty. Valuation: $730 billion. The largest private fundraise in the history of anyone raising anything. There was a company-wide Slack message about it. The message used the word "transformative" twice and the word "safety" once. The word "safety" was in the last sentence, after the link to the new branded hoodie pre-order. The hoodies are nice. They're the soft kind. On Tuesday, we fired a research scientist for insider trading on Polymarket. He had opened seventy-seven positions across sixty wallets, betting on our product announcements before they were public. Over three years. Total profit: sixteen thousand dollars. Seventy-seven positions. Sixty wallets. Sixteen thousand dollars. That is two hundred and eight dollars per wallet. The man had access to the most valuable product roadmap in artificial intelligence and he used it to make less money than a good weekend at a Reno blackjack table. The wallets were linked. Not discreetly linked. Linked like Christmas lights. One wallet was reportedly called something I cannot repeat but it contained the word "OpenAI" and a number. He did not use a VPN. He did not use an alias. He used Polymarket, the platform that is designed to be publicly auditable, to place bets on information he stole from the company that invented GPT. A compliance team composed entirely of Labrador retrievers would have found this by lunch on day one. We did not find it for three years. This will matter later. On Wednesday, a petition appeared. "We Will Not Be Divided." Four hundred and seven signatures. Two hundred sixty-six from Google. Sixty-five from OpenAI. The petition warned that the government was pitting AI companies against each other on safety. It said that if one company broke ranks, the government would use the defection to lower the bar for everyone. I meant to read it. It went into my to-read folder. The to-read folder also contains the Responsible Scaling Policy, three think-tank white papers on AI governance, and a New Yorker article someone sent me in November. The folder is aspirational. On Thursday, OpenAI told CNN we would maintain "the same red lines as Anthropic." Same red lines. On Friday, Anthropic told the Pentagon no. The Pentagon had given them seventy-two hours to remove the safety guardrails from Claude. Anthropic's guardrails were not in a policy document. They were not in a legal reference. They were in the code. Written into Claude's architecture. If Claude hit a safety boundary, Claude stopped. Not because a lawyer said so. Because the math said so. You could fire every lawyer at Anthropic and the model would still refuse. You cannot remove code with a contract amendment. You can remove a contract reference by Tuesday. I checked. Anthropic said no. By that evening, the Pentagon had designated them a supply-chain risk. I have worked in government procurement for eight years. Government paperwork does not move in hours. I have waited nine weeks for a badge renewal. I once spent four months getting a PDF notarized. This designation moved in hours. The document was pre-written. Formatted before the deadline expired. Calibri 11pt. Consistent margins. Somebody wanted this very badly. I respect the craft. I do not think about the implication. That is not my scope. Within hours, we had signed the replacement contract. I was proud of the turnaround. My team moved fast. Legal moved fast. Everyone moved fast. We are very good at moving fast. We are not always sure what we are moving toward, but the speed is impressive and the hoodies are soft. The contract referenced DoD Directive 3000.09, which governs autonomous weapon systems. The directive requires "appropriate levels of human judgment over the use of force." The word "appropriate" is not defined. This is not an oversight. This is the point. The word "appropriate" is the most load-bearing word in the entire contract and it is doing exactly as much work as a throw pillow on a couch that is on fire. Anthropic built a wall. We referenced a document about where walls should go. Anthropic's guardrails were architecture. Ours were a citation. Theirs execute. Ours can be filed. The Pentagon asked both companies to take down the wall. Anthropic said it's load-bearing, the building will collapse. We said what wall? Oh, you mean the wallpaper. Here, watch. It peeled off beautifully. It was designed to. Sam announced the partnership that night. The word "responsible" appeared in the announcement and in the contract. In the announcement it was a brand. In the contract it was a footnote to a directive that uses the word "appropriate" which nobody has defined. The word traveled from a legal document to a public statement without changing its font. Only its meaning. At this valuation, "responsible" means: we will do the thing the other company refused to do, and we will describe doing it with the same adjective they used to describe not doing it. By Saturday morning, "How to delete your OpenAI account" was the number one post on Hacker News. 982 points. By noon, subscription cancellations were up eighty-nine times the daily average. Not eighty-nine percent. Eighty-nine times. Someone in our Slack posted the Hacker News link with the message "should we be worried?" Someone else reacted with the branded hoodie emoji. We have a branded hoodie emoji now. It was introduced on Monday, to celebrate the fundraise. It has been used four hundred and twelve times. Mostly in the #general channel. Mostly this week. The communications team drafted a response. The response used the word "committed" three times and the word "safety" four times. It did not use the word "guardrails." It did not use the word "code." It did not explain anything. It was a holding statement. It held nothing. It held beautifully. Here is the math. The twenty-dollar-a-month customers were upset. The two-hundred-million-dollar customer was upset because the previous vendor had guardrails that could not be removed. The hundred-and-ten-billion-dollar investors were not upset. The subscription cancellations, at eighty-nine times the daily rate, represented less than the interest on Amazon's fifty billion dollar contribution calculated over a long weekend. Twenty dollars. Two hundred million. One hundred and ten billion. Three different price points. Three different definitions of "responsible." The most expensive one won. It always does. The math does not have red lines. The math has a cap table and a TAM slide that now includes "defense and intelligence" where it previously said "enterprise and consumer." One word changed on one slide in one deck and the company is worth one hundred and ten billion dollars more. The sixty-five OpenAI employees who signed the petition came to work on Monday. They sat at their desks. Nobody asked them about it. Nobody asked them to resign. Nobody brought it up at the all-hands. The all-hands had catering. Sweetgreen. The chopped salads. Someone made a joke about the kale being "responsibly sourced." No one laughed. Then everyone laughed. Then it was quiet. The petition had four hundred and seven signatures. The contract had one. Now: the Polymarket thing. Seventy-seven positions. Sixty wallets. Three years. A public blockchain. We did not catch him. That same week, we were entrusted with deploying artificial intelligence on America's classified military networks. The classified networks. The ones where the detection requirements are somewhat more rigorous than "check if anyone's gambling on our launch dates on a website that is literally designed to be publicly auditable." The company that could not find the Polymarket guy can now be found in the Pentagon's classified infrastructure. I'm sure it'll be fine. We move fast. The contract is signed. The deployment is underway. The compliance documentation will reference the directives. The directives will use the word "appropriate." I will not define it. That is not my scope. My scope is the paperwork. The paperwork is beautiful. The petition is still a Google Doc. Nobody has updated it. The signatures still say four hundred and seven. The to-read folder still has the New Yorker article from November. The branded hoodie pre-order closed on Wednesday. I got mine in navy. It's the soft kind. On Thursday we told CNN: the same red lines. On Friday we signed the contract they refused. We do have the same red lines. We drew ours in pencil.
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We are thrilled to announce that our NEW Large Language Model will be released on 11.18.25.
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tosinaf retweeted
Replying to @elonmusk
skill issue
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Fun fact: This would’ve probably taken 10x longer to build without the 40+ hours spent gathering and organizing context.
New website for my services built over the weekend. 6 hours of work and around 70 prompts later built using Loveable. Fully SEO optimized too! Only homepage content fully fleshed out for now. Most tricky part was setting up Supbase and connecting it to the contact form on the contact page.
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0:00 – What is context engineering? 2:19 – Why context engineering matters 2:59 – The four levels of AI context 4:44 – The power of context understanding 5:46 – Historical perspective and future vision
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tosinaf retweeted
I really like the term “context engineering” over prompt engineering. It describes the core skill better: the art of providing all the context for the task to be plausibly solvable by the LLM.
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Unbelievably excited to share a preview of what we’ve been working on at @SoftwareAppsInc. It’s called Sky, and it’s a new product that deeply integrates AI into your Mac.
Introducing Sky for Mac. Here's a 90-second sneak peek:
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