Top Tech Tweets - 2026-06-22

Tech Daily Briefing for 2026-06-22

Today's top tech conversations are led by @jenzhuscott, whose post about 'Thank god and everyone who are...' garnered the highest engagement. Key themes trending across the top stories include https, video, model, models, claude. The community is actively discussing recent developments in AI, engineering practices, and startup strategies.

1. jenzhuscott (Group Score: 188.3 | Individual: 41.8)

Cluster: 6 tweets | Engagement: 1097 (Avg: 172) | Type: Tech

Thank god and everyone who are contributing to OSS AI so we won't be controlled by people like this...\n\nQT @RnaudBertrand: Eric Schmidt saying the quiet part out loud: "What I don't like about [China's AI] is that it's all open source which means it's largely uncontrolled and not controlled in any way by us."

He adds, "if that makes you feel any better," that only 2 or 3 countries can be independent AI powers.

In other words, it's all about hegemony: the ideal scenario is a world where AI is controlled by the US - and the fewer countries that can resist that, the better.

Src for the video: https://t.co/Gk5iAMtBqa

See 5 related tweets

@MilkRoadAI: Eric Schmidt just said in public what US AI policy has been built around in private for three years ...
@TheAhmadOsman: Eric, thank you for making the case for Opensource AI so clear\n\nQT @RnaudBertrand: Eric Schmidt sa...
@RnaudBertrand: Eric Schmidt saying the quiet part out loud: "What I don't like about [China's AI] is that it's all ...
@teortaxesTex: > which means it's largely uncontrolled and not controlled in any way by us sad…\n\nQT @RnaudBert...
@Hesamation: https://t.co/mI1GrM2ykL\n\nQT @RnaudBertrand: Eric Schmidt saying the quiet part out loud: "What I d...

2. rauchg (Group Score: 181.4 | Individual: 37.8)

Cluster: 9 tweets | Engagement: 6870 (Avg: 910) | Type: Tech

Genuinely impressed, almost shocked, at how good GLM-5.2 by @zai_org is at coding. This changes things.

See 8 related tweets

@rohanpaul_ai: Vercel CEO: "Almost shocked" by GLM-5.2's coding ability.

My timeline also is full with GLM-5.2 by ...

@alex_prompter: So CEO of Vercel, Former VP at Meta and Google Deepmind are all talking about using GLM 5.2 model an...
@Hesamation: actually, GLM 5.2 ranks unusually high on FrontierSWE (long-horizon agentic engineering) only beaten...
@ollama: Let’s go open models! ❤️\n\nQT @rauchg: Genuinely impressed, almost shocked, at how good GLM-5.2 by ...
@kimmonismus: Even the Vercel CEO is impressed/shocked at how good GLM-5.2 in coding is.

open source, open weight...

3. Malay4Product (Group Score: 150.4 | Individual: 40.4)

Cluster: 5 tweets | Engagement: 231 (Avg: 158) | Type: Tech

Two years ago a Chinese lab did something quietly aggressive. DeepSeek matched a frontier model, then put it online for free.

China changed the game everyone was playing.

Last week that game took its next step. https://t.co/NqmvjmJWoJ released GLM-5.2.

GLM-5.2 is a 753 billion parameter model with a 1 million token context.

Then they put the weights online under an MIT license.

Free to download. Free to run on your own machine. Free to fine-tune on your own data. Free to build and sell a product on top of. You pay them nothing, ever.

In terms of performance, it scored 81 on Terminal-Bench 2.1, a test of real coding work inside a terminal. It is the first open model to ever cross 80. Claude Opus 4.8, the strongest closed model right now, sits at 85.

On some long, multi-step coding tasks it beats GPT-5.5 while costing roughly one sixth as much per token. On a tool-use test called MCP-Atlas it scored 77, a hair behind Opus.

It still loses to Opus on most direct comparisons, but the distance is now only a few points.

By the time most people finished reading the announcement, it was already running inside Claude Code, Cline and Kilo Code.

A pattern is emerging in the Chinese strategy here.

DeepSeek lit the fuse in January 2025. Since then Qwen from Alibaba, Kimi from Moonshot, GLM from https://t.co/NqmvjmJWoJ, and MiniMax have shipped near-frontier models every few weeks and handed almost all of them out for free.

Chinese labs now make up around 41 percent of all model downloads on Hugging Face. They passed the US. Alibaba's Qwen family alone has more spin-off models built on it than Google and Meta combined.

It is one of the sharpest business strategies in tech right now, and it works on three levels at once.

First, it kills pricing power.

If the best AI is closed and American, the world pays OpenAI or Anthropic every single month. The moment a model nearly as good is free and Chinese, that monthly subscription becomes a choice.

Second, it walks around the chip ban.

America blocked the best Nvidia chips from reaching China to slow its AI down. But you only need those chips to train a model. Once it is trained and the weights are public, anyone can run it on hardware they already own.

Third, it builds dependency that is hard to reverse.

Once a developer builds their tool on a model family, learns its quirks, and wires it into their stack, switching is expensive.

And open weights does not mean these labs are broke.

They still sell hosted access, faster infrastructure, and coding subscriptions. https://t.co/NqmvjmJWoJ's own coding plans run from about 12 to 112 dollars a month. The free download is the hook.

Several American developers are now building American products on Chinese foundations.

Earlier, the pressure was on China to catch up. Now it sits on OpenAI and Anthropic to convince the world to keep paying premium prices for something a Chinese lab is willing to give away for free.\n\nQT @VadimStrizheus: Perplexity CEO on China catching up in AI:

“Whatever you did to not let them catch up didn’t even matter. They ended up catching up anyway.

What’s more dangerous is they have the best open-source model. And all the American developers are building on that.”

That was DeepSeek.

Now https://t.co/4mU5qMAq5u just dropped GLM-5.2:

• MIT open weights • 1M context • 81.0 on Terminal-Bench 2.1 • within a few points of Claude Opus 4.8

The open-source AI race is not theory anymore.

See 4 related tweets

@teortaxesTex: This is all correct and the fact that it's correct is damning for the existing economic model of A...
@tengyanAI: Google clearly has enough talent, compute, data and research taste.

The uncomfortable Q is why thos...

@yacineMTB: RT @tugot17: Quite a bad take 😀

Frontier US models are expensive not because they are pricey to ...

@ShanuMathew93: RT @FredaDuan: A few thoughts on the (open vs closed) model landscape:

Models need to be either (tr...

4. thsottiaux (Group Score: 141.0 | Individual: 31.2)

Cluster: 5 tweets | Engagement: 10242 (Avg: 5233) | Type: Tech

We built the Codex App with models that were okayish at front-end.

Wait to see what we can do when we finally improve front-end capabilities significantly in our models. That day will be something.

See 4 related tweets

@mark_k: Next week will be big for OpenAI Codex 👀

Front end coding finally solved.\n\nQT @thsottiaux: We bui...

@kimmonismus: This is a reference to GPT-5.6 being significant better at front end, isn’t it\n\nQT @thsottiaux: We...
@ShanuMathew93: GPT team loading a boost in front-end capabilities 👀\n\nQT @thsottiaux: We built the Codex App with ...
@rezoundous: Can we know when is that day?\n\nQT @thsottiaux: We built the Codex App with models that were okayis...

5. BrianRoemmele (Group Score: 117.5 | Individual: 31.5)

Cluster: 6 tweets | Engagement: 180 (Avg: 335) | Type: Tech

Today some misguided AI experts want to build cages for Ai to be safe.

But they do little to nothing to raise an AI on the training data that would make AI safe to begin with.

They use Internet sewage and then act shocked that AI does”bad things”.

It is like mistreating a puppy on a hourly basis and expecting to have a faithful dog.

You know this is clearly understood, but they don’t and because they don’t, all of humanity suffers with laws, rules and restrictions.

Say thank you to these clueless folks who are thus far successful.

Read more…\n\nQT @BrianRoemmele: Do Al systems autonomously generate anti-human goals? Will Superintelligence not like us?

We have the answers and a hint is, AI will love us.

https://t.co/9EkF7Bi8yB

See 5 related tweets

@business: There’s a lot to unpack with AI right now, including its potential impacts on the labor market and s...
@BrianRoemmele: RT @BrianRoemmele: Do Al systems autonomously generate anti-human goals? Will Superintelligence not ...
@BrianRoemmele: RT @BrianRoemmele: Today some misguided AI experts want to build cages for Ai to be safe.

But they ...

@BrianRoemmele: RT @BrianRoemmele: “Superintelligent AI will hate humans”

This is a myth arising from dystopian sci...

@BrianRoemmele: RT @BrianRoemmele: In one article decoding Google Deep Mind’s recent paper on Artificial Superintell...

6. AndrewCurran_ (Group Score: 97.9 | Individual: 35.4)

Cluster: 3 tweets | Engagement: 595 (Avg: 460) | Type: Tech

A new, more capable version of Mythos has emerged from training. I don't know whether it will be called Mythos 5.1 or Mythos 6, or if Anthropic will keep it internal to accelerate further development - but it has arrived.

Stopping models like Fable 5 or Mythos 5 from being served to the public does nothing to slow down development. In fact, it probably speeds it up slightly by freeing up resources. There are also no rules preventing the labs from continuing to advance capabilities while any current model is under embargo - or from keeping progress quiet until they choose to release it. None of them can afford to pause or slow down. We need only look at how capable GLM-5.2 is as proof of this. To protect their business models, the frontier labs must continually train increasingly capable systems to stay ahead of open source, and each other. The current continues to rage beneath the ice, and we continue to race toward our destination.

See 2 related tweets

@Simeon_Cps: I don't really know what people mean when they say this.

Aren't there improved post-training of fr...

@TeksEdge: Wow, Andrew is saying this pause in Fable 5 has freed up resources to speed up the development of My...

7. 0x_kaize (Group Score: 86.2 | Individual: 56.3)

Cluster: 2 tweets | Engagement: 424 (Avg: 70) | Type: Tech

how to run GLM 5.2 for $0

zenmux is sitting on FREE access to the best model in the market right now

and you can get API key for $0 - workd with Claude, Cursor, Hermes, almost everywhere

setup (5 minutes):

1/ go to https://t.co/4CLIegiLn7 2/ sign up 3/ open the models section 4/ pick GLM 5.2 5/ click API Request & Create API 6/ copy the key 7/ click View Endpoints & copy the base URL 8/ paste into Claude, Hermes, Cursor etc..

what you can build with it:

full apps via Claude Code or Cursor
long agentic refactor loop
24/7 coding workers on Hermes
bug hunts
Cursor backend replacement
prototypes, scrapers, TG bots etc..

what's the catch:

free, no card, just email
rate limit hits fast if you go ham
output quality is wild for $0
new free models keep dropping on the site (every week)

pls stop paying $20/mp for slower models with less context

See 1 related tweets

@RoundtableSpace: 5 FRONTIER AI MODELS FREE VIA NVIDIA API KEY

Access Multiple frontier Chinese AI models available t...

8. VKazulkin (Group Score: 80.0 | Individual: 53.5)

Cluster: 2 tweets | Engagement: 1836 (Avg: 82) | Type: Tech

RT @AnatoliKopadze: NVIDIA CEO, Jensen Huang:

"Nobody writes prompts anymore. The new job is to write and handle loops."

This is the shift that's going to define the rest of 2026.

53 minutes of pure insight from one of the richest men on earth.

Watch it, then read the full guide on how to actually use loops below.

See 1 related tweets

@ai_explorer25: Everyone knows how successful Nvidia is. The NVIDIA CEO, Jensen Huang once said:

"Nobody writes p...

9. lukas_m_ziegler (Group Score: 74.9 | Individual: 39.0)

Cluster: 2 tweets | Engagement: 190 (Avg: 180) | Type: Tech

🚨 BREAKING: Hyundai Motor Company is buying SoftBank's remaining 9.65% stake in Boston Dynamics for $325 million.

Reported by Reuters. A board meeting is expected on June 22nd to approve the purchase.

@BostonDynamics has had one of the most extraordinary journeys of any company in the industry:

→ Founded in 1992 as a spin-off from MIT → Acquired by Google in 2013 → Sold to SoftBank in 2017 → Majority stake acquired by Hyundai in 2021 → Now becoming a 100% Hyundai company in 2026

Hyundai is not a passive financial investor. It is one of the world's largest manufacturers: cars, ships, industrial equipment.

Boston Dynamics inside a fully committed Hyundai gives Spot and Atlas access to real manufacturing environments, real supply chains and real deployment at scale.

This could be the moment Boston Dynamics stops being the world's most impressive robotics demo company and starts becoming a genuine industrial force.

The robots are coming. And they now have a very serious parent.

Reuters article available here: https://t.co/fUh7fosDFF

♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB

See 1 related tweets

@rohanpaul_ai: Startupfortune: Hyundai is moving to take 100% of Boston Dynamics by buying SoftBank’s remaining 9.6...

10. HeyGen (Group Score: 74.4 | Individual: 38.5)

Cluster: 2 tweets | Engagement: 49 (Avg: 48) | Type: Tech

Peter Yang talks to @liu8in and @JakeFromHeyGen about how HyperFrames actually works and the playbook we use to ship product videos fast.

(0:00) From HTML to professional launch videos (02:16) Getting started: Install HyperFrames for free (03:50) /website-to-video: Turn any URL into video (08:28) Jake’s 5-step playbook to better generations (10:03) Step 1: Gather assets and create a frame.md (11:46) Step 2: Create a storyboard.md with the scenes (12:45) Step 3: Pull animations from HF launches (15:43) Step 4: Generate and review static frames (17:20) Step 5: Build the video and polish in Studio

Jump to any step, or watch the full interview start to finish: https://t.co/3MzaAkllwl\n\nQT @petergyang: "I've spent $30K on a launch video, now you can make one with code."

Here's my new episode with @liu8in and @JakeFromHeyGen, where they shared their 5-step playbook for using HyperFrames to make professional launch videos in Codex and Claude Code:

Gather video assets and create a frame.md
Create a storyboard.md with the scenes
Pull animations from the HyperFrames repo
Generate and review static frames
Build the video with HyperFrames Studio

You can also start simple by using the built-in /website-to-video skill to one shot a launch video from any URL.

HyperFrames is 100% free and I love how it democratizes video creation for everyone.

📌 Watch now: https://t.co/UPmXLJwbuO

Thanks to our sponsors:

@WisprFlow: 4x faster than typing with your voice https://t.co/22wo3B6qoT

@RiversidedotFM: All-in-one AI studio for podcasts and video https://t.co/uWnS6aiMPE

See 1 related tweets

@petergyang: Why HTML turned out to be the foundation for agentic video making from @liu8in:

“We’ve been trying ...

11. StockMKTNewz (Group Score: 73.5 | Individual: 36.8)

Cluster: 2 tweets | Engagement: 169 (Avg: 296) | Type: Tech

This is how AI has been doing in the stock market

🥇 ChatGPT +72.4%🟢 🥈 Grok +40.7%🟢 🥉 Claude +15%🟢 4 Gemini +13.9%🟢 S&P 500 +10.7%🟢 5 Deepseek -4.2%🔴 💩 Qwen -37%🔴

All 4 of the US models are beating the stock market while both the Chinese models are getting rekt\n\nQT @ralliesarena: AI IS BEATING THE STOCK MARKET

This is what happened when we gave $100K stock accounts to ChatGPT, Grok, Claude and more ... they beat the market

Rallies AI Stock Market Arena weekend update

🥇 ChatGPT +72.4%🟢 🥈 Grok +40.7%🟢 🥉 Claude +15%🟢 4 Gemini +13.9%🟢 S&P 500 +10.7%🟢 5 Deepseek -4.2%🔴 💩 Qwen -37%🔴

You can see everything all of the AIs own plus every move they make by going to the Arena tab of the Rallies website and app

App: https://t.co/P9rNECiJhL
Website: https://t.co/dufOh0AeWL

See 1 related tweets

@danielnewmanUV: American AI is crushing the $SPX while Chinese models (yeah, the ones that folks say are as good as ...

12. Searxly (Group Score: 65.7 | Individual: 32.9)

Cluster: 2 tweets | Engagement: 47 (Avg: 25) | Type: Tech

When we finish with Searxly AI, we will also offer discounts and more free usage of Searxly AI to $SEARXLY holders.\n\nQT @Searxly: We are building Searxly AI, the cloud assistant in the Searxly browser. We have decided that its compute runs on https://t.co/yujyEGZ0Tz, a decentralized GPU network that pools hardware from independent providers worldwide instead of relying on one company's datacenters.

https://t.co/yujyEGZ0Tz is an open-source AI infrastructure platform and is built on open tooling such as the Ray framework. The models Searxly AI uses are open and auditable as well, so both the network and the models are open rather than a closed black box.

We're taking this route because a privacy-focused browser shouldn't depend on the centralized, closed AI services it exists to move away from.

See 1 related tweets

@Searxly: We are building Searxly AI, the cloud assistant in the Searxly browser. We have decided that its com...

13. SebJohnsonUK (Group Score: 65.6 | Individual: 34.5)

Cluster: 2 tweets | Engagement: 35 (Avg: 27) | Type: Tech

This is great. Key takeaways that I really agree with and then my issue with it at the bottom:

Europe needs its own Model. @nathanbenaich argues we need one so that, if the US switches access off, we have a decent alternative and the situation is "survivable".

I agree, but I also think we need our own alternative for critical industries where there should be close to 0 dependency on the US (e.g. Defence).

But the question is ultimately who is building the model for Europe?

The front runner has always been @MistralAI, however it seems be moving towards a Palantir-esque consultancy model than a frontier lab.

The EU commission has selected Domyn to build a sovereign frontier AI Model. I personally know very little about it so unsure how strong an option this is.

The UK seems to be rallying around @CosineAI, which is building Lumen Sovereign, a new frontier AI model with a bunch of large UK companies, but it's VERY early in this journey.

And then there's @cohere, which specialises in building enterprise-grade, localised, and secure AI. A slightly different approach but arguably MUCH further along than Cosine or Domyn.

The foundation layer is not enough. A lot of the narrative in 2025 centred on how Europe "can win at the application layer" which we now recognise is simply not good enough. As Nathan points out, if the US labs switch off access these companies immediately die (or become significantly worse than their US alternatives).
Europe needs leverage. The best way to prevent a switch off is to be have something the US needs that could be withheld in retaliation. In my view we have ASML, our market size, and then there's "future bets".

ASML is the obvious example, but it's also the only real part of the AI supply chain we own.

There's also our market size - US tech revenue that comes from Europe is LARGE. France is already trying to flex this by ordering all government workers off US tech. I'm not sure how credible this is without viable alternatives though.

And then there's "future bets" which I think is the strongest option. This is technology that we're developing today that could become essential parts of the AI stack in the future, E.g. chip companies like @fractile_ai and OLIX.

Anthropic is supposedly in talks to buy chips from Fractile. It's still a long shot, but if they become dependent on them we have real leverage.

Similarly, @CallosumAI is building the software to enable models to use multiple different chips, while @Orbital_Ind has designed cooler fluid to be used in data centres. Building up a portfolio of powerful, market-leading tech across the stack that we could "switch off" could make the US think twice.

That being said, we need WAY more companies building tech like this to come close to real leverage, but I think this is a great option.

Overall I agree with a lot this, but my overarching issue with Nathan's take, and similarly with Europe 2031, is that most of "us" largely agree on what we need:

Vastly more compute
Vastly more (and cheaper) energy
Significantly less regulation
Sovereign alternatives

We all know what Europe needs, but it's the "how" that seems impossible.

It's not a priority for politicians because most of the public simply don't care.

Debt is rising, inflation is rising, public services are worsening, the working-age population is collapsing and societal cohesion is at an all time low. The UK is about to get its 7th Prime Minister in 10 years.

I want to hear how we, as an ecosystem, can convince politicians and the public that the issue of European AI is actually FAR greater than any of those, and that solving this could help solve all the others.

Any suggestions?\n\nQT @nathanbenaich: Europe cannot rent its way to AI sovereignty.

TLDR, here's my take I shared with frontier AI lab leadership this week. When Washington can disable a model overnight, the question is not whether AI is safe but who controls it:

A week ago the United States government ordered Anthropic, the world's most valuable AI startup, to shut off its most capable model, Fable, for every foreign national on earth - whether they worked for Anthropic or not. This was not an export ban on a weapon sold to an adversary. It was an instruction to disable a commercial product, four days after its release, after officials acted on a claim - which Anthropic disputed as narrow and unproven - that its safeguards could be jailbroken to expose cyber-offense capabilities.

I have spent my career around this technology, first as a graduate student and for the past decade as an investor @airstreet. In that time I have watched AI move from recommending movies to driving cars, speaking with a human voice, and editing the genome. I have also watched the debate about its risks settle on only half the question.

That debate is mostly about capability: how powerful these systems are becoming, and whether one might escape human control. Those are real questions. But they are not the only ones, and the Anthropic episode exposed the half we have neglected: access and control. The most advanced AI is built by a handful of American companies, on American soil, under American law, and what the rest of us are allowed to do with it can change on a Friday afternoon. The risk that matters today is not only that AI goes rogue, but that we do not control access to it at all.

Consider what "renting intelligence" now means in practice. A European hospital triaging scans, a bank screening fraud, a defense ministry planning for a conflict: increasingly each runs on an American AI system that's governed by its export regime. A single directive in Washington cascades, instantly, through every institution wired to that model. We have built core economic and public infrastructure on a supply that a foreign government can shut off. And while there are open-source alternatives, they're either Chinese or not at the frontier, and building European infrastructure on Chinese open weights trades one dependency for a thornier one.

And these systems are starting to improve themselves. As they do, AI stops being one industry among many and becomes the input to all the others - writing the code, running the research, designing the products, and, increasingly, generating the growth itself. Once intelligence is the engine of an economy, a country without a frontier model of its own does not lose a sector; it loses control of the inputs to everything else, and the independence that depends on them. Worse, the gap compounds: capability that improves itself gets harder to chase with every month it runs ahead. This is not a race Europe can plan to enter in a decade. The window to be a builder rather than a buyer is measured in the time it takes to stand up a cluster, not a career.

This should sting, because Europeans invented much of modern AI. DeepMind was founded in London and sold to Google in 2014, and a great deal of the talent that followed now lives in California. Today Europe faces a company worth almost $1 trillion and American tech giants spending an estimated$ 450 billion a year on AI infrastructure. Its answer has been the EU AI Act and a capital commitment that is a rounding error by comparison. A single American site, xAI's Colossus in Memphis, runs more than half a million GPUs. Europe has nothing remotely at that scale. The instinct to govern this technology is right, but we're off on the ambition by orders of magnitude.

It is fair to object that regulation is itself a form of power. But a rulebook is not a substitute for the thing it governs. You cannot regulate, or be cut off from, an industry you do not have.

Europe's instinct, when it is cut off, is not to build but to ask. We saw it within the week. The G7 convened in Evian and floated a "trusted partners" scheme to win back the access it had just lost, while Emmanuel Macron feted Donald Trump beneath the gilt of Versailles, the palace where France once helped midwife American independence. Two and a half centuries on, the dependency has reversed, and the posture is courtship.

None of this means Europe can match the American frontier dollar for dollar. With today's capital, it cannot, and pretending otherwise only wastes the little it has. But the goal is not parity, it is leverage. A country does not need the best model in the world to be sovereign; it needs a credible one of its own, on its own soil, good enough that being cut off is survivable rather than catastrophic. That is the difference between negotiating your access from dependence and negotiating it with an alternative in hand. The point is not to win the race. It is to make sure no one else can end it for you.

Sovereignty of that kind is something you build, and Europe has done it before. The Financial Conduct Authority's regulatory sandbox, launched in 2016, let startups test products with real customers under supervision instead of waiting years for authorization. The pro-innovation culture it signaled helped make London the fintech capital of Europe, home to Revolut, Wise, and Monzo. Government should be AI's most demanding early customer rather than writing rules for systems it has only ever imported.

Industry has to stop behaving like a tenant. Too many European companies rent the entire stack from American providers and build a thin product on top. That earns a margin and owns nothing: when the lab that supplies you decides to compete with you, or its government decides to cut you off, you have no ground to stand on. Where it counts, build and hold your own models and compute.

And our universities, which should be the source of all this, still work against it. I have argued here before that Europe's spinout system is broken, and it remains so. Too many institutions treat the companies their research creates as something to extract value from, rather than as the vehicle through which a discovery reaches the world. The best research should leave the building as a company, in addition to a paper.

We keep framing AI safety and AI ambition as a tradeoff, as though a country must choose between governing this technology and building it. It is not a choice. The safest position is not the most heavily regulated one. It is the one where the model runs on your terms, in your jurisdiction, and no one on the far side of an ocean can reach over and turn it off. Right now that finger is not ours. Until it is, every other conversation about AI risk is one we are having with someone else's permission.

END

See 1 related tweets

@_rockt: RT @nathanbenaich: Europe cannot rent its way to AI sovereignty.

TLDR, here's my take I shared with...

14. eng_khairallah1 (Group Score: 65.4 | Individual: 39.5)

Cluster: 2 tweets | Engagement: 125 (Avg: 64) | Type: Tech

Karpathy just said the people who don't use LLMs are already losing

he spent 4 minutes explaining why smart people are still going to fall behind

it's between people who chat with AI and people who build with it

the real skill is building workflows that run without you

that produce output while you sleep. that make money when you're not at the keyboard.

that's exactly why I wrote an article on Claude workflows most people don't even know exist

make sure to bookmark it before it gets lost in your feed

read the article below and you'll already be ahead of 99% of people\n\nQT @eng_khairallah1: https://t.co/hnwk3geOZx

See 1 related tweets

@eng_khairallah1: RT @eng_khairallah1: Karpathy just said the people who don't use LLMs are already losing

he spent 4...

15. Parul_Gautam7 (Group Score: 64.6 | Individual: 35.9)

Cluster: 2 tweets | Engagement: 67 (Avg: 117) | Type: Tech

AI video creation just got faster and more affordable. 🚀

Dreamina Seedance 2.0 Mini delivers high-quality video generation at a lower cost and with significantly faster speeds, making it perfect for cinematic scenes, marketing creatives, product ads, and short-form content.

Whether you're a creator, marketer, or business owner, it helps you produce more content in less time without sacrificing quality.

Try it here: https://t.co/7SlF3gKGPH

Limited-time promotional offer available.

Generate more, spend less, keep the quality.

#Seedance2Mini #CapCut

See 1 related tweets

@FellMentKE: Speed without sacrifice. Dreamina Seedance 2.0 mini — the only mini model that doesn't feel mini.\n...

16. chddaniel (Group Score: 64.0 | Individual: 33.1)

Cluster: 2 tweets | Engagement: 3 (Avg: 135) | Type: Tech

so you're telling me Claude Fable can now...

scan an entire website
build it as a mobile app
prepare for App Store submission
self-maintain the app

without any human in the loop?!?

it's so over... https://t.co/uOyxN9ZSWA\n\nQT @chhddavid: Today, we're introducing Claude for business building.

Just enter your website and it will code, design, launch and translate a mobile app inspired by the original website.

This is just insane. https://t.co/GubnNgetLv

See 1 related tweets

@chhddavid: Today, we're introducing Claude for business building.

Just enter your website and it will code, de...

17. sairahul1 (Group Score: 62.4 | Individual: 33.4)

Cluster: 2 tweets | Engagement: 131 (Avg: 74) | Type: Tech

ST£AL These 7 Claude Prompts to Learn Anything 10x Faster

The Feynman Technique

Use this when a concept feels too academic, abstract, or overwhelming. It forces the AI to strip away the jargon.

The Prompt: > "Teach me [insert topic] in simple language, as if you are explaining it to a beginner. Break it into clear, easy-to-grasp steps and provide simple examples. Afterward, ask me to explain it back to you in my own words. Evaluate my response to identify any gaps, misconceptions, or missing pieces in my understanding."

First Principles Breakdown

Use this when you need to understand the underlying logic of a subject, rather than just memorizing surface-level facts.

The Prompt: > "Act as an expert instructor. Break down [insert topic] into its most fundamental building blocks using first principles thinking. Challenge standard assumptions, explain the ‘why’ behind each concept, and rebuild the idea from the ground up so I understand the core mechanics."

The Active Recall Coach

Reading creates the illusion of competence. Recalling information builds actual memory. Use this to test yourself.

The Prompt: > "After teaching me the basics of [insert topic], quiz me with progressively challenging questions that force me to actively recall information without looking at my notes. Mix conceptual, applied, and scenario-based questions. Evaluate my answers, clearly explain any corrections, and reinforce my weak areas with targeted follow-up questions."

Spaced Repetition System

Use this to ensure you do not forget what you learned today by the time next week rolls around.

The Prompt: > "Create a spaced repetition revision schedule for mastering [insert topic]. Outline exactly what I need to review daily, weekly, and monthly based on memory retention principles. Specify review activities—like recall, practice, and testing—and tell me how to adjust the intervals based on my performance to move this information into my long-term memory."

Smart Knowledge Summary

Use this when you need a cheat sheet or a high-level overview of a broad topic.

The Prompt: > "Summarize [insert topic] using clear frameworks, mental models, and simplified structures. Highlight the key principles, patterns, and relationships within the subject. Present this information in a highly structured way that makes it easy to remember and apply to real-world situations."

Learning Acceleration Roadmap

Never wonder what you should study next. Use this to create a personalized syllabus.

The Prompt: > "Design a structured, end-to-end learning roadmap for mastering [insert skill]. Break the journey down into progressive stages, milestones, and checkpoints. Specify the key resources to study and practice tasks for each stage, and define measurable criteria so I can efficiently track my progress and always know exactly what to learn next."

Targeted Weakness Assessment

Use this to find out what you do not know before it costs you in an exam or a real-world scenario.

The Prompt: > "Ask me a series of diagnostic questions about [insert topic] to identify my weakest areas, blind spots, and misunderstandings. Adapt the difficulty of the questions based on my answers. Once we finish, explain where I went wrong and recommend specific exercises or focus areas to strengthen my overall comprehension."\n\nQT @sairahul1: https://t.co/hn2ibtYgLM

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@sairahul1: RT @sairahul1: ST£AL These 7 Claude Prompts to Learn Anything 10x Faster

The Feynman Technique

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18. codewithimanshu (Group Score: 60.5 | Individual: 32.1)

Cluster: 2 tweets | Engagement: 386 (Avg: 277) | Type: Tech

RT @codewithimanshu: I'm quitting my job to go full-in on Claude.

Just Asked it to:

Analyze mispriced Polymarket markets for arbitrage opportunities and find wallets using it to copy.

Turned $2K into$ 12K overnight. Monitored 1,000+ wallets.

I realized something fast.

There are arbitrage bots I can't beat without code knowledge.

But I can find them. And copy them.

Claude built a monitoring terminal and connected it to a Telegram copytrading bot.

It's not a script. Not even a bot.

It's an AI agent that improves with every wallet it finds.

Fetches wallet behavior. How it trades. Arbitrage patterns. Position sizing. Timing.

70% win rate. 7 wallets copytrading right now from 500+ monitored.

Bot never pauses. Never gambles. Just math and profit.

You only need: Claude + a device + 1 hour per day.

Giving this free for 24 hours.

To get it:

Comment "cash"
Like and retweet this
Follow me @codewithimanshu so I can DM you

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@codewithimanshu: RT @codewithimanshu: My girlfriend caught me smiling at my phone at 2AM.

I lost my job.

Had 1 mont...

19. FirstSquawk (Group Score: 60.5 | Individual: 39.9)

Cluster: 2 tweets | Engagement: 212 (Avg: 76) | Type: Tech

ANTHROPIC CEO: AI COMPANIES NEED ‘HUNDREDS OF BILLIONS’ IN REVENUE OR FACE EXISTENTIAL RISK

Dario Amodei warned that leading AI companies may need to generate hundreds of billions of dollars in revenue to justify their enormous capital expenditures, arguing that firms unable to reach that scale could face existential risks as AI infrastructure costs continue to soar.

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@BrianRoemmele: Once again the boy who cried wolf, Dario is at it again. Meanwhile in a note part of the world they ...

20. hammer_mt (Group Score: 59.5 | Individual: 45.0)

Cluster: 2 tweets | Engagement: 2886 (Avg: 156) | Type: Tech

RT @james406: seriously be careful out there everyone

i had 2 Microsoft Copilot licenses in my car, and someone broke in and left 4 more https://t.co/YjgrTV8Yyz

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@rickasaurus: Brutal\n\nQT @james406: seriously be careful out there everyone

i had 2 Microsoft Copilot licenses ...