科技推特精选 - 2026年5月23日

2026年5月23日科技每日简报

Today's top tech conversations are led by @myfear, whose post about 'RT @HedgieMarkets: 🦔Microsoft ...' garnered the highest engagement. Key themes trending across the top stories include their, engineers, company, people, systems. The community is actively discussing recent developments in AI, engineering practices, and startup strategies.

1. myfear (Group Score: 349.5 | Individual: 62.8)

Cluster: 9 tweets | Engagement: 4874 (Avg: 448) | Type: Tech

RT @HedgieMarkets: 🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.

My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.

This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.

Hedgie🤗

See 8 related tweets

@dee_bosa: The more interesting part is that Microsoft’s own engineers liked Claude code best…and they’re cutti...
@levie: What’s happened is that we went from AI chat tools that were relatively cheap and had small context ...
@kimmonismus: Microsoft put $13 billion into OpenAI and built the cloud infrastructure Anthropic runs on.

This w...

@owenbjennings: turns out running a model agnostic agent harness like @goose_oss at scale so you can route to local ...
@cryptopunk7213: demand for claude code is insatiable and has led to customers spending up to 500% more than they ori...

2. tibo_maker (Group Score: 304.1 | Individual: 40.9)

Cluster: 9 tweets | Engagement: 441 (Avg: 92) | Type: Tech

i genuinely don't understand

guy is solo
users spend their own balance to grow their Polsia company

-> why does he need to fundraise? -> what is the money for?

for AI to improve Polsia?

he is close to $1m per month and from what I understand, with very low cost, so there is plenty of money available

what am I missing?\n\nQT @Bencera: Polsia just raised $30M at a$ 250M valuation.

Approaching $10M annual run rate.

One Founder + AI. Zero employees.

Polsia runs companies autonomously.

It also ran its own fundraising.

I just showed up for signatures. https://t.co/6ryypKG0GY

See 8 related tweets

@Scobleizer: RT @Bencera: Polsia just raised $30M at a$ 250M valuation.

Approaching $10M annual run rate.

One F...

@kimmonismus: Ben is building the future of fully autonomous businesses.

And he just raised $30M.

Even crazier: ...

@AngryTomtweets: This is fucking crazy.

Polsia just raised the largest funding round ever for a solo founder... $30M...

@cgtwts: > be ben cera

spend 5 years building CloudKitchens with Travis Kalanick ( Ex Uber CEO)

leave ...

@shiri_shh: babe wake up

we now have an AI that builds and operates entire companies start to finish.

ideation...

3. MatthewBerman (Group Score: 274.7 | Individual: 32.9)

Cluster: 12 tweets | Engagement: 266 (Avg: 259) | Type: Tech

🫡 the man @DavidSacks good work\n\nQT @SophiaCai99: New: The AI exec. order was postponed because David Sacks called Trump this morning and argued that having the federal government review models before their public release would slow down innovation and harm the U.S. in its AI race with China.

David Sacks was read in on the EO this week and senior White House officials believed he was good with it.

“Then, he called POTUS this morning unbeknownst to anybody, his own staff included, and derailed it,” a senior White House official told me.

w/ @cheyennehaslett @jacob_wendler https://t.co/0GLIe4M4uj

See 11 related tweets

@alex: RT @SophiaCai99: New: The AI exec. order was postponed because David Sacks called Trump this morning...
@Austen: “The AI exec. order was postponed because David Sacks called Trump this morning and argued that havi...
@MTSlive: SITUATION UPDATE: The executive order on AI, expected today, was postponed after a call from David S...
@robertwiblin: A regulatory accelerationist going out of his way to increase the likelihood that there's some visib...
@MTSlive: SITUATION UPDATE: Politico has obtained a draft of Trump's postponed AI executive order, which calls...

4. cheneypiano (Group Score: 177.8 | Individual: 58.7)

Cluster: 4 tweets | Engagement: 2098 (Avg: 236) | Type: Tech

RT @DJ_CURFEW: 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.

See 3 related tweets

@cgtwts: CEOs entering the agentic era:

step 1: announce layoffs step 2: call it the future of work step 3: ...

@jasonlk: I think folks are partially missing the story here.

ClickUp is in the category perhaps most devasta...

@ibuildthecloud: Well this sounds terrible. You know that AI stuff that sucks and you struggle to use productively, y...

5. MarioNawfal (Group Score: 174.1 | Individual: 33.5)

Cluster: 7 tweets | Engagement: 362 (Avg: 671) | Type: Tech

🇺🇸 Starlink generates over $11 billion a year, makes up 60% of SpaceX's total revenue, and is the only profitable division in the company.

It is single-handedly bankrolling one of the most ambitious engineering operations in history.

That was always the plan. Elon knew in 2015 that rockets alone wouldn't pay for Mars. So he built the world's biggest satellite internet network to fund it.

It now has over 10 million subscribers, and more than 10,000 satellites, while manufacturing costs are down 59% since 2022 and a new one is launching every 3 days.

SpaceX calls it "the first trillion-dollar market." The next ones are on the Moon and Mars.

Source: Wall Street Journal\n\nQT @elonmusk: Starlink

See 6 related tweets

@StockSavvyShay: Starlink is now as big as seven leading satellite competitors combined with 10.3M subscribers growin...
@rohanpaul_ai: RT @rohanpaul_ai: SpaceX just filed for a Nasdaq IPO under SPCX that could turn Elon Musk’s SpaceX s...
@IPONewsroom_: THE BIGGEST IPO IN HISTORY IS COMING. HERE'S WHAT YOU ACTUALLY NEED TO KNOW

SpaceX is going public,...

@CNBC: Elon Musk’s SpaceX is best known for its reusable rockets, and has been capturing headlines this yea...
@StockMKTNewz: Starlink made more than $1 Billion of operating profit for SpaceX in Q1 https://t.co/kzen3Xs1xk\n\nQ...

6. JayminSOfficial (Group Score: 163.4 | Individual: 34.8)

Cluster: 5 tweets | Engagement: 412 (Avg: 2755) | Type: Tech

Someone used @hyperagentapp to run market research, competitor analysis, build a working product, and generate marketing assets for ~$35 only 🤯

That’s not “AI productivity.”

That’s the startup cost curve collapsing in real time.

The barrier to building online just went from “team” to “idea + taste.” ❤️‍🔥

@howietl #Hyperagent #AIAgents\n\nQT @howietl: We’re giving away $10,000,000 to founders building agent-first businesses.

Autonomous, proactive agents will run tomorrow's companies.

We're backing 500 founders building them.

The Founding 500.

https://t.co/u8mxRWEXiT https://t.co/chZDnNOnlM

See 4 related tweets

@alex_prompter: Everyone mocked “AI agents” until someone put $10M on the table.

Now the same people calling it hyp...

@vasuman: Starting a company is a massive lift: incorporation, insurance, product, engineering, sales, marketi...
@kimmonismus: The team that made databases feel easy just did the same thing for AI agents.

Hyperagent gives you ...

@wallstengine: 500 founders are getting $20K each in Hyperagent inference credits.

@howietl is putting $10M behind...

7. deliprao (Group Score: 163.4 | Individual: 31.9)

Cluster: 6 tweets | Engagement: 16 (Avg: 162) | Type: Tech

deepseek seems to be cutting costs by an order of magnitude than their competition. The model is sufficient for a majority of "normal" use cases. This should heat up the market in favor of consumers.

Caveat Emptor: AI compiled table. https://t.co/qqpWA9ftIs\n\nQT @deepseek_ai: We are making our discount permanent! 🎉

Enjoy building with DeepSeek-V4-Pro and bring your innovative ideas to life! 🚀 https://t.co/V8atbTaogH

See 5 related tweets

@kimmonismus: Let that sink in for a moment.

DeepSeek v4 pro 75% discount. Permanent!

In: $0.43 Out:$ 0.87

If ...

@VaibhavSisinty: Man, Deepseek is so backkkkkk 🤯

They just made the 75% off pricing on v4 pro permanent. This is no ...

@TeksEdge: DeepSeek V4 Pro is only $0.87/1M! This model scores as well as Claude Sonnet 4.6 Max on @ArtificialA...
@Yuchenj_UW: Wow. A massive 75% discount from DeepSeek.

Either they’ve done some serious inference optimizations...

@masondrxy: RT @Yuchenj_UW: Wow. A massive 75% discount from DeepSeek.

Either they’ve done some serious inferen...

8. theinformation (Group Score: 142.8 | Individual: 21.3)

Cluster: 8 tweets | Engagement: 27 (Avg: 12) | Type: Tech

SpaceX, OpenAI and Anthropic are all racing toward IPOs that could value each company near or above $1 trillion.

The timing could force Wall Street to choose how much capital it can put behind three cash-hungry tech giants at once.

Read more in this week's Dealmaker newsletter: https://t.co/AjAtzaTLa9

See 7 related tweets

@business: Mega IPOs like those eyed by SpaceX and OpenAI threaten to push the weighting of tech in equity benc...
@StockMKTNewz: BOFA STRATEGIST HARTNETT SAID TODAY THAT HE THINKS:

Mega IPOs like those eyed by SpaceX and OpenAI ...

@theinformation: SpaceX’s prospectus shows a company still anchored in Starlink and rocket launches, not yet the moon...
@business: SpaceX revealed eye-popping numbers in its IPO prospectus, including a $26.5 trillion potential mark...
@unusual_whales: BofA strategist Hartnett said mega IPOs from companies like SpaceX and OpenAI could push tech’s weig...

9. unusual_whales (Group Score: 141.9 | Individual: 28.8)

Cluster: 6 tweets | Engagement: 2887 (Avg: 1887) | Type: Tech

Starbucks, $SBUX, is retiring its AI inventory system across North America after the tool reportedly miscounted and mislabeled store inventory.

See 5 related tweets

@FastCompany: Starbucks retired an AI inventory tool after frequent mistakes, while Pizza Hut's delivery system al...
@chandrarsrikant: RT @Polymarket: JUST IN: Starbucks retires AI inventory tool across North America after it reportedl...
@DataChaz: software devs returning to Starbucks' offices next week: https://t.co/GVmZFFjyHj\n\nQT @Polymarket: ...
@Reuters: Exclusive: Starbucks terminated an AI program workers used for automating certain inventory counts t...
@ReutersBiz: Exclusive: Starbucks terminated an AI program workers used for automating certain inventory counts t...

10. rileybrown (Group Score: 113.5 | Individual: 30.7)

Cluster: 4 tweets | Engagement: 98 (Avg: 157) | Type: Tech

Wait... You can build a swift iOS apps from iMessage...

And then download it straight to your home screen?

And it works in Codex as well? Wow\n\nQT @anshnanda: 3 months ago, Apple banned Vibecoding apps from the App Store.

2 months ago, we figured a way to make 10x better native Swift iOS apps directly on your phone.

Build any native iOS app
Run it on a real iOS simulator
Download directly on your phone
Share w/ 100+ ppl https://t.co/aDlYoltOaL

See 3 related tweets

@rileybrown: Hey @NousResearch you guys should add this to Hermes. Any Hermes agent would be able to generate swi...
@rileybrown: Any AI agent can build Swift iOS Apps

Then you can download them straight to your phone’s Home Scre...

@rileybrown: RT @anshnanda: 3 months ago, Apple banned Vibecoding apps from the App Store.

2 months ago, we fig...

11. dwarkesh_sp (Group Score: 93.8 | Individual: 40.6)

Cluster: 3 tweets | Engagement: 2880 (Avg: 721) | Type: Tech

New blackboard lecture w @reinerpope

How do chips actually work – starting with basic logic gates, and working up to why GPUs, TPUs, FPGAs, and the human brain each look the way they do.

0:00:00 – Building a multiply-accumulate from logic gates 0:16:20 – Muxes and the cost of data movement 0:25:59 – How systolic arrays work 0:39:00 – Clock cycles and pipeline registers 0:51:40 – FPGAs vs ASICs 1:03:14 – Cache vs scratchpad 1:07:16 – Why CPU cores are much bigger than GPU cores 1:11:49 – Brains vs chips 1:15:22 – A GPU is just a bunch of tiny TPUs

Look up Dwarkesh Podcast on YouTube/Spotify/etc to watch. Enjoy!

See 2 related tweets

@scaling01: Reiner Pope is him\n\nQT @dwarkesh_sp: New blackboard lecture w @reinerpope

How do chips actually w...

@dejavucoder: woah\n\nQT @dwarkesh_sp: New blackboard lecture w @reinerpope

How do chips actually work – starting...

12. hwchase17 (Group Score: 93.7 | Individual: 35.5)

Cluster: 3 tweets | Engagement: 32 (Avg: 18) | Type: Tech

software security is a hot topic right now

timely podcast with @cogent_security on building agents for cyber defense\n\nQT @hwchase17: Great conversation on the Max Agency podcast with @cogent_security Co-Founder + CTO Geng Sng on building agents for autonomous cyber defense.

Check out the full episode: ⏯️ YouTube: https://t.co/Q17oGuI8Wc 🎧 Apple: https://t.co/ny7Aqf7PEw 🎧 Spotify: https://t.co/5y9symjGSk https://t.co/XKpVICriRv

See 2 related tweets

@hwchase17: Great conversation on the Max Agency podcast with @cogent_security Co-Founder + CTO Geng Sng on buil...
@LangChain: Brand new episode of Max Agency ⤵️\n\nQT @hwchase17: Great conversation on the Max Agency podcast wi...

13. KirkDBorne (Group Score: 89.8 | Individual: 19.5)

Cluster: 7 tweets | Engagement: 152 (Avg: 43) | Type: Tech

RT @KirkDBorne: Download 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): https://t.co/deN091mk8B ———— #ML #AI #Mathematics #DataScience https://t.co/eBuKxc8XbM

See 6 related tweets

@KirkDBorne: Principles of Deep Learning Theory—Theoretical & Mathematical Foundations [471-page PDF Draft] h...
@KirkDBorne: Machine Learning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exerc...
@KirkDBorne: RT @KirkDBorne: "Pen and Paper Exercises in Machine Learning"

Download 211-page PDF: https://t.co/Q...

@KirkDBorne: Basic Mathematical Foundations of AI — Hands on with Python: https://t.co/syc5K859yc https://t.co/Xi...
@KirkDBorne: RT @KirkDBorne: Free 505-page PDF textbook — “Foundations of Machine Learning”

Download at the @MIT...

14. chddaniel (Group Score: 89.8 | Individual: 31.5)

Cluster: 3 tweets | Engagement: 54 (Avg: 8) | Type: Tech

this is seriously terrifying...\n\nQT @chhddavid: Introducing Website to App. Turn any website into a native mobile app.

Just paste a URL.

Claude Opus 4.8 codes, designs, launches, translates and runs a mobile app inspired by the original website.

We’ve been using this a lot internally for iOS/Android apps. https://t.co/rQ5v6MBUu5

See 2 related tweets

@chddaniel: so you're telling me Claude Code with Opus 4.7 can now...
scan an entire website
build it as a ...
@Shipper_now: this whole Claude thing got seriously scary...\n\nQT @chhddavid: Introducing Website to App. Turn an...

15. Av1dlive (Group Score: 88.0 | Individual: 30.8)

Cluster: 4 tweets | Engagement: 123 (Avg: 74) | Type: Tech

Jensen Huang (CEO of Nvidia): “We’re gonna have billions of AI agents in the world and they’re gonna be working 24/7.”

spoiler : demand for ai agents is high. most supply is chatbots

this builder broke down how to make ai agents better than any $1000 dollar course i've seen

bookmark and save this no matter what.\n\nQT @Av1dlive: https://t.co/2Ada7jw3sa

See 3 related tweets

@sairahul1: 🚨 CEO of Nvidia: "I'd hire the graduate who's expert in AI over the one who isn't. Every time"

he's...

@Av1dlive: RT @Av1dlive: Jensen Huang (CEO of Nvidia): “We’re gonna have billions of AI agents in the world and...
@CoinMarketCap: LATEST: 🤖 Nvidia CEO Jensen Huang says a billion people will have hundreds of billions of AI agents ...

16. StockSavvyShay (Group Score: 88.0 | Individual: 27.5)

Cluster: 4 tweets | Engagement: 914 (Avg: 1060) | Type: Tech

$AMD CEO Lisa Su says CPU market is tight and expects demand to grow more than 35% annually over the next five years.

AMD will keep ramping supply every quarter this year with more planned for 2027 while staying committed to China despite U.S. export controls on high-end GPUs. https://t.co/2ZoPnSVQuu\n\nQT @StockSavvyShay: $AMD CEO Lisa Su says AMD needs more Taiwan capacity for the next 1, 2 and 3 years and is pushing partners to ramp faster.

She said AMD’s two major bets were $TSM and advanced packaging and both are now foundational to the AI semiconductor supply chain. https://t.co/xdPWKL5tCg

See 3 related tweets

@wallstengine: $AMD CPU DEMAND UPDATE FROM LISA SU

Historical CPU market growth: 3%-4%

Expected growth next 5 yea...

@Techmeme: AMD CEO Lisa Su projects the CPU market will grow over 35% annually through 2031, up from 3% to 4% h...
@StockSavvyShay: $AMD CEO Lisa Su says AMD needs more Taiwan capacity for the next 1, 2 and 3 years and is pushing pa...

17. WesRoth (Group Score: 80.1 | Individual: 36.0)

Cluster: 3 tweets | Engagement: 55 (Avg: 28) | Type: Tech

Alibaba released Qwen 3.7 Max, its latest flagship AI model built for agentic coding, productivity work, and long-horizon autonomous tasks.

Qwen 3.7 Max is designed to work as a coding agent, office assistant, and multi-agent productivity model. It can handle frontend prototypes, multi-file refactors, debugging, MCP integrations, and workflow automation.

Key details:

🔹The model performs strongly across coding-agent benchmarks, general-purpose agent tasks, difficult reasoning benchmarks, multilingual tasks, and broad AI capabilities. 🔹Qwen 3.7 Max builds on Qwen 3.5’s environment scaling approach by expanding the quality and diversity of agentic training environments. 🔹The model shows strong cross-harness generalization across QwenClawBench and CoWorkBench, suggesting it is learning to solve tasks rather than only performing well in one benchmark setup. 🔹In a 35-hour autonomous kernel optimization task, Qwen 3.7 Max completed 432 kernel evaluations and made 1,158 tool calls. 🔹During the run, it wrote, compiled, profiled, and improved an Extend Attention Kernel on its own. The result was a 10x geometric mean speedup over the Triton reference across multiple workloads. 🔹Qwen 3.7 Max is scaffold-agnostic, meaning it can work across Claude Code, OpenClaw, Qwen Code, or custom agent stacks.

The model is available through Alibaba Model Studio, Qwen Studio, and API access.\n\nQT @Alibaba_Qwen: 📣Meet Qwen3.7-Max — our latest flagship, made for the Agent Era.

A versatile foundation for agents that actually get things done: 🧑‍💻 Coding agent, end to end. Frontend prototypes, multi-file refactors, real debugging — nails it. 🗂️ A reliable office and productivity assistant. Get your work done through MCP integrations and multi-agent orchestration. ⏱️ Long-horizon autonomy. 35 hours straight on a kernel optimization task — 1,000+ tool calls, zero hand-holding. 🔌 Scaffold-agnostic. Claude Code, OpenClaw, Qwen Code, or your own stack. Consistent reliability everywhere.

API's up on Alibaba Model Studio. You can also take it for a spin on Qwen Studio.

Go build something wild!🏃🏃‍♂️

📖 Blog: https://t.co/y3AupX3Pa0 ✅ Qwen Studio: https://t.co/qpTnrCBjWt ⚡️ API：https://t.co/0sys00osKn

See 2 related tweets

@rohanpaul_ai: RT @rohanpaul_ai: Alibaba just released Qwen3.7-Max.

Their best flagship model built for real-wor...

@Marktechpost: RT @Marktechpost: Most agent frameworks today are stitching together reasoning models with external ...

18. DynamicWebPaige (Group Score: 77.2 | Individual: 27.7)

Cluster: 4 tweets | Engagement: 31 (Avg: 103) | Type: Tech

🪨 Road cuts are one of the most exciting parts of travel, for a geologist – being able to see exposed strata on either side of a highway.

🙌 Can't wait to test out this with project Genie, all over the world, without having to sit in a plane for 10+ hours to get there. 😁\n\nQT @miriamkdaniel: Imagine driving down one of the most picturesque highways on the Pacific Coast (Highway 1) in a race car… now I can use Project Genie, connected with Street View, to bring that to life in vivid detail!

At #GoogleIO, we announced that we’re bringing Google Street View into Project Genie, so you can create and explore imaginative, interactive worlds anchored in real places.

Available to eligible Google AI Ultra Subscribers globally.

Great collab from @jmbherbert, @jparkerholder, @poolio, @drivascos + many others from @GoogleDeepMind and @GoogleLabs.

See 3 related tweets

@WesRoth: RT @WesRoth: Project Genie can now connect to nearly 20 years of Google Maps Street View data. This ...
@rohanpaul_ai: World models are moving into wild territory. Project Genie just turned Google Maps Street View into ...
@RoundtableSpace: GOOGLE PROJECT GENIE NOW HAS ACCESS TO 280 BILLION STREET VIEW IMAGES FROM 110 COUNTRIES SPANNING 20...

19. Carles_Reina (Group Score: 74.0 | Individual: 38.2)

Cluster: 2 tweets | Engagement: 317 (Avg: 99) | Type: Tech

This is one of the coolest & fun use cases of our @ElevenLabs Agents platform. Charles Lorin built an AI Agent and called thousands of bakeries to know the price of a baguette. Well done!! https://t.co/3TLfLjAFfd

See 1 related tweets

@Carles_Reina: In Spain, the AI Agent should call every single bar/restaurant to ask for the cost of the daily set ...

20. peterwildeford (Group Score: 72.9 | Individual: 47.5)

Cluster: 2 tweets | Engagement: 309 (Avg: 48) | Type: Tech

The plan of the leading AI companies is to:

1.) hire software engineers and AI researchers to build AIs that can automate software engineering and AI research

2.) use automated AI researchers to go >100x faster at figuring out how to automate everything else.

3.) End up with AI superintelligence that would be smarter than everyone at everything

In short, use humans to build powerful AIs and use those powerful AIs improve AI recursively and rapidly... until we get a superintelligent 'successor species' that then obsoletes all of humanity.

This plan sounds insane and sci-fi, but it's very much on track. It used to be that if you were a top 1% software engineer you could get a job at Google, OpenAI, or Anthropic. Now, AI writes the vast majority of the code instead of humans. And thanks to all the existing automation, even these top 1% engineers don't get hired anymore. The bar is so much higher because AI can fill in so much.

Where this goes is difficult to say with certainty, but we have no evidence to rule out massive capability improvements - including "superintelligence" - in even just a few years... due to AI companies being close to automating and accelerating very large facets of AI research.

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