Good morning, { AI enthusiasts }. Every big company runs the identical way: stack managers on top of managers until information flows. Jack Dorsey thinks AI just made that whole structure obsolete.
The Twitter founder and Block CEO just laid out a plan to switch his company’s entire management layer with AI, coming weeks after cutting nearly half of its workforce and betting a smaller, flatter team can move faster than any org chart ever could.
In today’s AI rundown:
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Block ditches managers for AI
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SpaceX targets record $1.75T IPO debut
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Construct a productivity tool with Replit
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OpenAI taps freelancers to show ChatGPT their jobs
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4 recent AI tools, community workflows, and more
LATEST DEVELOPMENTS
BLOCK
Image source: Lovart / The Rundown
The Rundown: Twitter founder and Block CEO Jack Dorsey just co-authored a post arguing AI can replace middle management, framing Block’s recent 40% workforce cut because the opening move in a large workplace restructure for the AI era.
The small print:
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Block cut over 4K employees in February, over 40% of its staff — with Dorsey calling it a bet on AI, not a response to weakness.
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Dorsey said managers exist to route information up and down a sequence, and AI can now do this via a live “world model” of the business.
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He said everyone at Block now falls into certainly one of three roles: builders, problem-owners over specific outcomes, and player-coaches who develop talent.
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Block is remote-first, and Dorsey says every decision, design, and plan already exists as a digital record, giving AI the raw material to switch managers.
Why it matters: Dorsey’s thesis is an interesting one, especially as lean, AI-first teams go head-to-head with bloated legacy firms which have layers of approval. Block’s bet is that distant work already generated the info, and AI just needed to catch up to make use of it — but not everyone seems to be going to trust the tech to completely cut out the managerial layer.
TOGETHER WITH HUBSPOT
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SPACEX
Image source: Lovart / The Rundown
The Rundown: SpaceX just filed for what can be the most important IPO in history, targeting a valuation north of $1.75T and a raise of as much as $75B — which might make Elon Musk’s rocket-AI-social media mega-company one of the crucial beneficial on Earth.
The small print:
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The SEC filing sets up a June debut that may beat OpenAI and Anthropic to public markets, making Musk’s company the primary U.S. AI-era mega-listing.
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SpaceX is targeting a $1.75T+ valuation, and its $50B–$75B raise would greater than double the most important IPO ever (Saudi Aramco’s $29B offering in 2019).
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Musk absorbed xAI into SpaceX before filing, though the AI side reportedly pulls in under $1B in revenue against the rocket business’s roughly $20B.
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About 30% of shares can be open to on a regular basis investors, while a special two-tier voting structure lets Musk keep full control after going public.
Why it matters: In spite of everything of the talk surrounding AI mega-IPOs centering on OpenAI and Anthropic, it’s xAI (via SpaceX) that will likely be the primary U.S. lab to hit the general public markets. Despite now losing every certainly one of his 11 co-founders, Musk’s vision and tie-in of rockets, AI, robotics, and data make for a combo few other rivals can match at scale.
AI TRAINING
The Rundown: On this guide, you’ll learn methods to construct a light-weight work tracker that counts what you truly did every day and turns it right into a clean weekly report.
Step-by-step:
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Open Claude or ChatGPT and ask it to interview you about your role. You should find the 5 to eight task types you repeat most frequently. Good outputs are things like sales calls, deliverables sent, client replies, internal meetings, or content published.
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Take that task list into Replit and tell it: Construct me an easy tracker app with each day number inputs, an optional note field, a calendar heatmap, and a report generator for any date range.
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Log a number of fake days first so you may see the app working immediately.
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Click Generate Report and have the app output totals, each day averages, and a brief summary for the week or month. That is the part that makes the tracker useful. The information is already formatted for a manager update, client recap, or team check-in.
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Deploy the Replit and save the url as a bookmark. Start using this every single day at the top of your workday.
Pro tip: If you must make it more powerful, add a client or project tag to every entry. That offers you filtered reports by account as an alternative of 1 big pile of activity.
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OPENAI
Image source: Lovart / The Rundown
The Rundown: A brand new report from Business Insider just revealed “Project Stagecraft,” an internal OpenAI effort paying as many as 4K freelancers a minimum of $50/hr to construct occupation-specific training data across quite a lot of jobs.
The small print:
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The project runs through Handshake AI, with freelancers from jobs including business aviation, pharmacists, plant scientists, and HR specialists.
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The project focuses on “knowledge work, not manual labor,” aiming to map economically relevant tasks and gauge what ChatGPT can already handle.
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Contractors create personas and simulate workflows, providing “context, goals, references, and deliverables” to assist train models with human expertise.
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One contractor who participated told BI, “All of us were aware that we were mainly training AI to switch us.”
Why it matters: AI training has gone from generalist data labeling to a more targeted cataloging of what professionals actually do, field by field, task by task. With OAI also drafting policy papers on economic disruption and “rethinking the social contract,” the AGI timelines could also be going much faster than even they anticipated.
QUICK HITS
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⚙️ Strands Agents – frontier AI for everybody, from production backends and physical robots to code that writes itself*
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🧠 Trinity-Large-Pondering – Arcee AI’s recent SOTA open-weight reasoning model for long-horizon agentic tasks
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🤏 LFM2.5-350M – Liquid AI’s small model built for tool use and on-device agents
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🎨 Wan2.7-Image – Unified image model for generation, editing, text rendering
Contra Labs emerged from stealth as a brand new evaluation platform for AI creative tools, with leaderboards, datasets, and benchmarks focused on human creative taste.
Z AI rolled out GLM-5V-Turbo, a brand new ‘vision coding’ model that reads screenshots, design drafts, and interfaces to generate runnable code directly from what it sees.
Liquid AI released LFM2.5-350M, a small open model that outperforms models twice its size on tool use and is capable of run efficiently across consumer devices.
Arcee AI introduced Trinity Large-Pondering, a brand new open-weight reasoning model rivaling Opus 4.6 on agent benchmarks at roughly 1/twentieth the price.
Alibaba launched Wan2.7-Image, a brand new image model that generates, edits, and renders text across 12 languages with as much as 12 consistent images per prompt.
COMMUNITY
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Thomas L. in France:
“Now we have a Discord server with friends where we discuss every thing from video games to politics. Conversations can sometimes get heated, especially when opinions clash.
To assist with that, I built a Taoist-inspired bot powered by Claude. When mentioned, it reads recent messages, uses context about participants and our shared vocabulary, and sends a prompt to Haiku via API.
It then returns a response meant to bring perspective, clarity, and infrequently a little bit of humor!”
How do you utilize AI? Tell us here.
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Read our last AI newsletter: OpenAI’s recent $122B funding, ‘superapp’
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Read our last Tech newsletter: This startup desires to grow your next body
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Read our last Robotics newsletter: Physical Intelligence’s $11B robot brain
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Today’s AI tool guide: Construct a productivity tool with Replit
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RSVP to next workshop @ 2 PM EST today: Presentation Slides with AI
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