LeftCurveCapital @LeftCurveQuant

You'll see a lot of doctors come out "against" this kind of broad screening system. They can even get quite agitated about it. This resistance stems from a well-established clinical consensus: traditional population-level imaging fails to improve health outcomes because false positives and invasive follow-ups do more harm than good. But this view suffers from an obvious blind spot. Existing studies rely on static data and completely ignore time-series imaging. And time-series is ignored because we haven't been able to afford to do high frequency imaging at population scale. Clearly, time series is going to be immensely more valuable than a single image. If you drop costs, value can go from 0 -> 1. On a more fundamental level, the argument against screening rests on an obviously false precept "More information is bad" -- just clearly untrue. More information better, you just have to interpret it correctly.

Midjourney @midjourney

2 days ago

Announcing a new division of Midjourney called "Midjourney Medical"

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@jasondoesstuff 1. Just get a snoo

Hot take: They're not subsidized their margins are insane. They are just absolutely raping api customers. Anyone who has used deepseek or hosted anything and done the math on hardware/power costs knows this

Chubby♨️ @kimmonismus

a week ago

Subscription plans are massively subsidized. And by massively, I mean absurdly: Claude Max 20x: $200/month, with usage reportedly worth around $8,000 ChatGPT Pro 20x: $200/month, with usage reportedly worth around $14,000

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@m_goes_distance Kid is going to be a turbo depressed social loser nerd

24 hours with fable - I really like it, but you have to use it right key learning: use it as an orchestrator of other agents. don't burn tokens having it research or write code treat it as a "manager" of lower cost agents (sonnet, haiku) to maximize where it shines, without overpaying for tokens I moved my workflow to a skill: /efficient-fable try it out, has been a game changer for me

@tomieinlove This is how having ADHD works

It’s cute how Claude has the beaver-building-dam attitude about how adjusting your gradients to minimize prediction error is actually the greatest and most important thing in the universe

Prompter @PromptLLM

a week ago

Insane advice from Fable 5

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@workinpro 3 minutes and 30 seconds. Holy fuck

@gemchange_ltd I’d turn this into a roast of the gayest bear of all time Michael Burry.

One of the reasons for the current rally is that there are many non-tech-savvy fund and asset managers sitting on trillions of dollars in assets that are slowly realising AI exists. These people literally learned about Claude or agents in the last few weeks. And maybe even tried them. And got an awakening. To understand why that matters, you need to realise that the “average asset manager” in the UK or EU is barely able to turn on his computer. They have an “IT support guy” for that. They couldn’t tell you Windows from MacOS. Yet they manage $ trillions of pension assets on. These people are always late to every trend. But every trend, they eventually join. And they only now discovered that AI exists, and what it actually does. That “AI” is not just being an irritating chatbot in their “Windows” on “Outlook” on the big HP desktop in their office. It’s also genuinely very hard for them to understand the growth rates, the incredibly high GAAP operating margins, and the relatively low P/E valuations in the semiconductor sector (low vs all other growth tech). You see, in the past, every sector with dramatic growth had terrible, extremely negative margins (see SAAS, e-commerce, renewables, anything in the 2021 SPAC bubble, etc). Profits were always promised to “come later”, and usually, they never actually did. Meanwhile, we now have a cloud and semiconductor sector that’s incredibly high growth, yet also has extraordinary margins and cash flows not seen anywhere else in the business world, anywhere. Ever. In financial and economic terms, it’s simply unprecedented. They’ve never seen numbers like this, so it’s mentally very hard for “the average asset manager” to grasp them. Now, they’re seeing the use cases. The output. They’re seeing the numbers. And they’re waking up.

breaking: recruiter in your LinkedIn DMs offering half your current salary + 5 days in office

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why. First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it. Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands. Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition. I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively. THE 100X ORGANIZATION The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago. Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken. The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems. These roles will evolve. But waiting for that to happen naturally means falling behind now. The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working. THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS — THE BUILDERS: 10X ENGINEERS I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality. Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment. AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed. So who do you want orchestrating and reviewing code? And how do you want your best engineers to spend their time? If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code. The new world is about enabling your 10x engineers to become 100x. The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated. I call this the great reckoning of AI coding, and every company will face this soon if not already. More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well. — THE BUILDERS: 10X PRODUCT MANAGERS Product management and design roles are merging. Designers that have customer focus, become more like product managers. And product managers that have intuition for UX become more like designers. The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results. The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy. Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on. To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production. Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck. That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time. — THE SYSTEM MANAGERS Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp. The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world. You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is. — THE FRONT-LINERS In a world that will become saturated with AI communication, the human touch will matter more than anything to customers. This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings. One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers. REWARDING 100X IMPACT In a world where companies are able to do so much more with less, where does that excess money go? In our case, much of the savings in this new operating model will flow directly back to those that enabled it. We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them. You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace. Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems. THE FUTURE Nearly every company will make changes like these. The ones that do it proactively will define what comes next. The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago. ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

@netprofitpro Everyone knows stocks are valued on current and past revenues

.@Kalshi wtf is this

Matt Kalish @mattkalish

a month ago

Q: Why does Kalshi share your user id to Wall Street market makers in RFQ api? A: To profile order flow for “risk management” *but* Wall Street = 😇, so we pinky promise to NOT to use it to flag winning users, share lists, and decide when we’d prefer to not provide liquidity 😉

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Might need to switch to Apple Music so I can stop looking at this awful Spotify logo

@AdamRackis @GayBearRes lol your kids have no respect for you

Boomers: "I prefer peace. But if trouble must come, let it come in my children's time. I want to be comfortable and they are a bunch of ungrateful brats anyway."

The Conservative Alternative @OldeWorldOrder

a month ago

THOMAS PAINE: "I prefer peace. But if trouble must come, let it come in my time, so that my children can live in peace."

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@marcportermagee Ah yes immigration

“wow equities are ripping, time to position myself in alternative cryptocurrencies before everyone rotates from the assets that go up only into the ones that don’t”

@SolanaFloor Worthless vaporware declines 45% after company says it’s worthless vaporware