Disruption Joe

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Disruption Joe

Disruption Joe

@DisruptionJoe

I design fun, engaging, insight-rich sessions that help teams move from curiosity and skepticism to excitement-driven alignment with concrete next steps.

Chicago, IL Katılım Mayıs 2017
5.1K Takip Edilen6.8K Takipçiler
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Disruption Joe
Disruption Joe@DisruptionJoe·
Most AI adoption efforts stall for a simple reason: People are shown AI. They are not meaningfully engaged with it. Someone demos something impressive. Everyone nods. Then they go back to work and nothing changes. Why? 1
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Disruption Joe
Disruption Joe@DisruptionJoe·
@SethKravitz How was the Pi setup? Pretty quick or are there a lot of variables to get right or personalize over time?
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Seth Kravitz
Seth Kravitz@SethKravitz·
Deepseek v4 Pro inside of Pi is almost too good to be true. Getting Opus 4.7 level results with what might as well be uncapped unlimited usage.
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Disruption Joe
Disruption Joe@DisruptionJoe·
@DavidVorick Ive been officially nerd-sniped into reading it in full. It shifts to Glow after establising fundamentals. Generative by positive sum actions earning inflation through protocol rules. Belief, as exemplified by people’s actions, is the most fundamental property. Love it
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David Vorick
David Vorick@DavidVorick·
@DisruptionJoe While I agree with most of Hayek's major ideas, this article in particular doesn't really explain them, it explains something different (complementary, but different).
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Kevin Patrick Mahaffey
Kevin Patrick Mahaffey@dropalltables·
More people would be pro datacenter if every one had a beautiful open-to-the-public heated pool.
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Ubitel
Ubitel@getubitel·
Get Connected. Earn Points. Memberships loading... Join the waitlist now for a points multiplier👇
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Yohei
Yohei@yoheinakajima·
developers talk about agent harnesses/orchestration like it's back-end architecture and that if they could only get it right, they can keep building on top of it but what if it's more like personal/organizational decision making processes and org charts, and it's meant to be reflected upon and adjusted constantly
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David Vorick
David Vorick@DavidVorick·
I reviewed more solar farm applications for Glow yesterday than I've reviewed in the entire lifetime of Glow. At a roughly 25% acceptance rate, Glow would double its scale based on yesterday's applications alone. Glow is happening.
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Disruption Joe
Disruption Joe@DisruptionJoe·
@petheth I wouldn’t say that. I’d say your missing an extra thing that could help improve the larger process twhatever your rawdogging
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peth.eth
peth.eth@petheth·
@DisruptionJoe I still don't really understand harnesses. Am I being retarded by rawdogging claude code in terminal tabs?
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Disruption Joe
Disruption Joe@DisruptionJoe·
The biggest question today: What is the minimal harness that is portable and personal that can reliably self-adapt to user expectations?
elvis@omarsar0

// Agentic Harness Engineering // Pay attention to this one, AI devs. (bookmark it) Most coding-agent harnesses are still tuned by hand or brittle trial-and-error self-evolution. This new work introduces Agentic Harness Engineering, a framework that makes harness evolution observable. They do this through three layers: components as revertible files, experience as condensed evidence from millions of trajectory tokens, and decisions as falsifiable predictions checked against task outcomes. Each edit becomes a contract you can verify or revert. Results: pass@1 on Terminal-Bench 2 climbs from 69.7% to 77.0% in ten iterations, beating human-designed Codex-CLI (71.9%) and self-evolving baselines like ACE and TF-GRPO. The evolved harness also transfers across model families with +5.1 to +10.1 point gains, while using 12% fewer tokens than the seed on SWE-bench-verified. Harness work is the biggest hidden cost in most agent systems. This is the first credible recipe for letting the harness improve itself without drifting into noise. Paper: arxiv.org/abs/2604.25850 Learn to build effective AI agents in our academy: academy.dair.ai

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François Chollet
François Chollet@fchollet·
AI automates tasks, not jobs, and when a task gets cheaper, demand for the job grows. AI cannot automate jobs end-to-end because it lacks autonomy and cannot operate without supervision. There is still zero job from 2022 that can be performed end-to-end by AI, not even translator or customer support associate.
James Pethokoukis ⏩️⤴️@JimPethokoukis

"A decade ago, AI was supposed to replace radiologists. Today, radiologists make more than $500,000 per year, and their employment continues to grow, see chart below. Reading scans is a task, not a job, and when the task gets cheaper, demand for the job grows."

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Disruption Joe
Disruption Joe@DisruptionJoe·
@OpenAI Why is the mobile app soooo bad? Seriously, the Claude remote session feature is great. Maybe I’m dumb and don’t know how to do it 🤯
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OpenAI
OpenAI@OpenAI·
Still wondering how you can use Codex for (almost) everything? Codex can help with more of the work that supports the work, from organizing research to making spreadsheets, decks, and summaries.
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Disruption Joe
Disruption Joe@DisruptionJoe·
@nikitabier @zerohedge Snoozing by topic is nice. Snoozing by quality is way better. What is quality? Uniqueness, effort, non-selling information density, rate of likes across differing profiles/rate of likes by similar profiles.
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Nikita Bier
Nikita Bier@nikitabier·
The most snoozed (i.e., muted) topics since launching the snooze feature: 1. Crypto 2. Politics 3. Iran Conflict 4. Sports 5. Business & Finance 6. Gaming 7. Artificial Intelligence 8. Videos 9. Science & Technology 10. Entertainment & Arts
Nikita Bier@nikitabier

Today we're also rolling out a tool to snooze topics on your For You tab—if you ever want to crank up or turn down the slop. Rolling out now on iOS and Web for Premium subscribers.

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Disruption Joe
Disruption Joe@DisruptionJoe·
It feels like even the biggest companies are grasping at everything. Is that really the strategy? or is doing a thing really well the strategy? Or is it the same now?
Patrick Collison@patrickc

We just announced a large raft of improvements at @Stripe Sessions. My meta reflections: • It feels that the entire economy is replatforming right now. • Many charts at Stripe are inflecting in quite dramatic ways. What GitHub recently reported for commits we are seeing in economic activity (such as new company formations). • It is increasingly clear that agents will be responsible for most transactions in the not overly distant future. • Stripe was always developer-centric, but AI is making developer-centricity strategic in a new way: agents are even hungrier for good DX than developers themselves are. • Things that we’re launching are increasingly network products at heart. (Instant transfers between Stripe businesses, new kinds of fraud prevention with Stripe Radar, stablecoin payouts to anyone with Link.) "How can we turn Stripe's economies of scale into user benefits?" is increasingly the relevant question. • Between Privy, Bridge, Tempo, and Stripe’s core capabilities, we’re now doing a lot in stablecoins/crypto, and companies like DoorDash, Ramp, Meta, and Klarna are using our crypto stack to deploy meaningful new functionality in production. “But where’s the production use?” is rapidly becoming stale when applied to crypto. • After more than a decade of building, we seem to have hit some kind of critical mass of core platform capabilities such that building new things now feels easier and faster than before. (AI also helps.) We announced Stripe Treasury last year (originally called Financial Accounts); since then, we’ve added multi-currency support, global payouts, card issuance and rewards, and a bunch of other sophisticated functionality. By the end of this year, Treasury will support 15 more currencies and be available to businesses in 160 countries. On the launches themselves, a small selection that I thought were cool, though this is really just a subset: • The @Link AI wallet. Point your agent to github.com/stripe/link-cli and ask it to make purchases on your behalf with secure single-use tokens. (To test it, I asked Claude Code to buy a small gift for me yesterday. It purchased HTTPZine on Gumroad.) • New payment methods for Link, including Pix (largest payment method in Brazil) and UPI (largest payment method in India). We’re also adding stablecoin support to Link (which I think will be huge if we execute well). • We’re adding a lot of new Machine Payments Protocol functionality, including micropayment and recurring payment support. • We announced Checkout studio: a sophisticated dashboard for managing your checkout flow, including things like transaction replays and A/B tests. Today this tends to require a lot of fussy edits to production code. • Adaptive Pricing (which automatically localizes the price and currency that customers see) now supports subscriptions. We’ve seen pretty huge (4–5%) conversion rate improvements after enabling it — customers really like paying in their home currency. • New Stripe Terminal reader (the T600) with a customer-facing screen that can run native apps, plus support for 15 new international markets for Stripe Terminal. • General availability for Stripe Managed Payments, our merchant of record solution. (Natively handles tax, disputes, fraud.) Maybe sounds a bit arcane, but it’s one of those iykyk products. It saves a lot of schlep. • Fraud is a *much* bigger priority for customers than it was 2 years ago (AI makes fraud easier + unlike software, tokens can be resold), so we’ve been extending Stripe Radar to support things beyond payments fraud: free trial abuse, multi-account abuse, pay-as-you-go abuse. Early results are extremely positive. We also announced Stripe Signals — new scoring APIs for customers, businesses, and other objects, not just payments on and off Stripe. • Usage-based billing is also becoming the de facto business model of the AI era, and we launched a bunch of new pricing models in @getMetronome and features like low-balance alerts, automatic credit top-ups, and multidimensional pricing structures. • We showed streaming payments built on @Tempo and Metronome — track usage and get paid the instant value is delivered. Hard to predict, but I think this could be big. (Why wouldn’t you want to get paid as costs are incurred?) • We added automatic US tax filing in Stripe Tax. • We announced Stripe Database -- a hosted PostgreSQL database with all of your Stripe data, updated in real time. Read-only to start but we’ll make it read-write. • Stripe Workflows are now GA. • We showed Stripe Console, a full agentic execution environment built directly into the Stripe Dashboard. It’ll happily write code and use tools to answer your questions. • We previewed custom objects: model your business data directly in Stripe, with custom objects, typed fields, and relationships. • As mentioned above, Stripe Treasury accounts will support storage in 15 currencies by the end of the year. And instant/free(!) transfers between US Stripe businesses. • You can use a Stripe card with your Treasury balance and get 2% cash back on purchases. • We’re massively expanding our Global Payouts coverage -- soon 100 countries with fiat rails and 160 with stablecoins. • Atlas companies can now raise money directly within Stripe. • We launched the platform growth studio, which uses Stripe’s network data to generate specific recommendations for optimization/growth. • We announced the Stripe Managed Risk API — platforms can outsource risk handling to Stripe while maintaining full UI/UX control. • Connected accounts now benefit from networked onboarding, which hugely increases conversion rates. • We’re launching Treasury for Platforms. Connected accounts can get spend cards with just a few lines of code. (Plus cash rewards, cash acceptance, check acceptance, real-time payments…) • We announced Issuing for agents: easily create cards for agents. But that’s really just a subset of a subset. (See stripe.com/roadmap for more.) The Stripe team is cooking! And if you’re interested in building the economic infrastructure for this new world, we’re hiring.

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Disruption Joe
Disruption Joe@DisruptionJoe·
@DennisonBertram @AnthropicAI @OpenAI Especially as we are starting to see the variable costs becoming more the norm. frontier labs have high probability of driving enough users to open source models that OS become popular enough to overtake frontier labs for adoption. Kinda like US sanctions hurting the $
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Dennison
Dennison@DennisonBertram·
Absolutely shit day coding. @AnthropicAI logged me out so often you’d think I wasn’t welcome in the token casino. @OpenAI Symphony felt magical till I realized it burned 50m tokens and…it got lost? I don’t want to build my own orchestrated, but everything kind of sucks.
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Disruption Joe
Disruption Joe@DisruptionJoe·
Claude has been down like 3 separate times in the last 2 days…
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Disruption Joe
Disruption Joe@DisruptionJoe·
Claude needs a feature where multiple people can drop info to an agent, and maybe ask questions, but only the host can direct it to take actions. Like Zoom host controls.
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