Can an AI agent run a startup for a year without going bankrupt? Turns out most can't. New benchmark from Collinear AI puts 12 models to the test. YC-Bench tasks agents with running a simulated startup over hundreds of turns: hiring employees, selecting contracts, and maintaining profitability in a partially observable environment with adversarial clients and compounding consequences. Only three models consistently surpass the $200K starting capital. Claude Opus 4.6 leads at $1.27M average final funds, followed by GLM-5 at $1.21M with 11x lower inference cost. Scratchpad usage, the sole mechanism for persisting information across context truncation, is the strongest predictor of success. Adversarial client detection accounts for 47% of bankruptcies. Long-horizon coherence, not raw intelligence, separates the winners from the bankrupt. Paper: arxiv.org/abs/2604.01212 Learn to build effective AI agents in our academy: academy.dair.ai/
BUSINESS
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Microsoft’s Contract Renegotiation with OpenAI Enables Superintelligence Pursuit
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New terrible definition of superintelligence just dropped: Hayden Field (@haydenfield) Mustafa Suleyman says renegotiating Microsoft’s contract with OpenAI “unlocked [Microsoft’s] ability to pursue superintelligence." Though his new JD at Microsoft AI was only made public last month, he'd been preparing for the transition for 6-9 months. theverge.com/report/905791/m… — https://nitter.net/haydenfield/status/2039705728416362864#m
→ View original post on X — @martyswant, 2026-04-02 15:32 UTC
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Data Warehouse Migration: Beyond Cost and SQL Conversion
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Data warehouse migrations are often slowed down by the wrong assumptions. Focusing only on cost, treating it as SQL code conversion, or migrating all legacy objects can increase cost, extend timelines, and carry forward unnecessary technical debt. The reality is different.
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Runway AI Summit: Creative Industry Embraces AI for Tomorrow’s Success
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Earlier this week, we brought nearly 700 leaders together in New York for @runwayml's inaugural AI Summit — and the energy in the room made one thing clear: the creative industry is at an inflection point. Across media, entertainment, gaming, advertising, and legal, two themes emerged consistently: Taste and transparency matter as much as capability. And the companies that will lead tomorrow are the ones embracing AI today. -Kathleen Kennedy of @Lucasfilm reminded us that taste is fundamental to the art of filmmaking — and that AI, in the right hands, will help us tell even better stories. -@HElsakr19489 (@Adobe) and @philwiser (@paramountco) shared how their organizations are navigating AI adoption honestly — leaning into the possibilities while being clear-eyed about the realities. -Creative principals at UNVEIL Studio and @Silverside_AI pushed this further: for them, AI isn't just a tool. It is the medium. -Christopher Harrelson of Why Brands shared a striking data point: designers using Runway have seen a 5x efficiency gain — enabling more work, faster iteration, and higher-quality outputs. Runway's own @theeddylee grounded it all in a sobering reality: only 10% of US businesses use AI in production, and 55% of corporate communications are still text-only, even as video drives 70% of internet traffic. The gap between where most companies are and where they need to be is wide. Can't wait to see what our next summit (un)covers!
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Energy Efficiency Platforms Enable Decarbonization Compliance 2026
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Energy efficiency in 2026 is increasingly a compliance requirement. Manufacturers facing decarbonization mandates need platforms that cut consumption, enable renewable integration, and generate the audit-ready data needed to prove progress to regulators.
— Lucian Fogoros (@fogoros) 2 avril 2026
These 10 platforms… pic.twitter.com/StehfxYp1SEnergy efficiency in 2026 is increasingly a compliance requirement. Manufacturers facing decarbonization mandates need platforms that cut consumption, enable renewable integration, and generate the audit-ready data needed to prove progress to regulators.
These 10 platforms -
FC Bayern: Technology Enabling Real-Time Fan Engagement and Connection
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There’s nothing like match day—energy, emotion, and real-time decisions at scale. In this SAP Better Together podcast episode with @FCBayernEN, Dominik Winter, Head of Development and Process, and I explore what it really takes to bring that experience to life behind the scenes. Not just from a technology standpoint, but from a human one. When technology is thoughtfully designed, it doesn’t get in the way—it disappears into the experience. And what remains is something far more powerful: a sense of belonging, of being seen, of being part of something bigger. That’s the real story here. Technology in service of connection. Podcast Episode: techunknownsap.libsyn.com/fc… Timo Elliott's Practioner Video: sap.com/assetdetail/2026/03/… Better Together Conversations: url.sap/btpcustomerconversat… #AI #CustomerExperience #DigitalTransformation
→ View original post on X — @tamaramccleary, 2026-04-02 14:35 UTC
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Established Companies as Major AI Beneficiaries Through Product Enhancement
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Some of the biggest beneficiaries of AI will be established companies with a profitable business model that manage to leverage AI to make their existing products more compelling and even start new ones (like Adobe Podcast which is both new and AI first)
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Mistral AI Secures $830M Funding Round Amid US-Europe Competition
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“The US is building two Apollo programs a year. Europe is building excellent regulation.”
— Nina Schick (@NinaDSchick) 2 avril 2026
That’s not my line—it’s from the co-founder of @MistralAI, Arthur Mensch (@arthurmensch). On Monday, Mistral announced an impressive $830 million financing round to build a cutting-edge… pic.twitter.com/6NsEVJBLWR“The US is building two Apollo programs a year. Europe is building excellent regulation.” That’s not my line—it’s from the co-founder of @MistralAI
, Arthur Mensch (
@arthurmensch
). On Monday, Mistral announced an impressive $830 million financing round to build a cutting-edge -
India’s Offshoring Arbitrage Reaches Its Automation Ceiling
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The India concentration across this list is not a coincidence. Roles that were moved there for cost efficiency over the last two decades are now being automated for the same reason. The arbitrage has a ceiling.
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OpenAI’s enterprise API share halves while Anthropic doubles market position
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OpenAI's enterprise API share dropping from 50% to 25% while Anthropic rose from 12% to 32% in the same period is the data point that explains the secondary market behavior better than any narrative does.