科技推文精选 - 2026年6月18日

科技每日简报 2026-06-18

Today's top tech conversations are led by @Zai_org, whose post about 'RT @ArtificialAnlys: Z ai’s GL...' garnered the highest engagement. Key themes trending across the top stories include https, model, context, models, intelligence. The community is actively discussing recent developments in AI, engineering practices, and startup strategies.

1. Zai_org (Group Score: 295.5 | Individual: 36.4)

Cluster: 10 tweets | Engagement: 202 (Avg: 48) | Type: Tech

RT @ArtificialAnlys: Z ai’s GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index scoring 51 and it sits on the Pareto frontier of Intelligence vs Cost per Task

@Zai_org’s GLM-5.2 is the same size as GLM-5.1 (744B total / 40B active parameters) but scores 11 points higher on the Intelligence Index v4.1, placing ahead of MiniMax-M3 (44) and DeepSeek V4 Pro (max, 44). On the first-party API it is priced in line with GLM-5.1 at $1.4/$ 4.4/$0.26 per 1M input/output/cache hit tokens

Key results:

➤ GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43)

➤ Improvements across most evaluations, particularly scientific reasoning: GLM-5.2 gains over GLM-5.1 on most evaluations, led by scientific reasoning on CritPt (+16 points to 21%) and HLE (+12 points to 40%), alongside AA-LCR (+9 points to 71%), tau3 banking (+15 points to 27%) and SciCode (+7 points to 50%). TerminalBench v2.1 also improves (+16 points to 78%) and GPQA Diamond gains 3 points to 89%

➤ Leading open weights model on GDPval-AA v2 and competitive with proprietary models: GLM-5.2 scores 1524 on GDPval-AA v2, ahead of MiniMax-M3 (1418) and DeepSeek V4 Pro (max, 1328). This impressive result places GLM-5.2 in-line with proprietary models including GPT-5.5 (xhigh reasoning). GDPval-AA v2 builds on the original GDPval-AA by baselining Elo to human performance at 1000, introducing a rotating panel of frontier-model judges, and raising the turn limit from 100 to 250 for longer-horizon agent trajectories

➤ GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k)

➤ On the Intelligence vs. Cost per Task Pareto Frontier: GLM-5.2 is on the Pareto frontier of the Intelligence vs Cost per Task chart, with the lowest cost per task among models at its intelligence level. GLM-5.2 costs ~ $0.46 per task, compared to GLM-5.1 ($ 0.25), Kimi K2.6 ( $0.31), MiniMax-M3 ($ 0.18) and DeepSeek V4 Pro (max, $0.05)

Additional Model Details:

➤ License: MIT

➤ Size: 744B total parameters, 40B active parameters, equivalent to GLM-5.1

➤ Context window: 1M tokens, up from 200K on GLM-5.1

➤ Pricing: $1.4/$ 0.26/$4.4 per 1M input/cache hit/output tokens

➤ Availability: Alongside Z ai's first-party API, GLM-5.2 is available across third-party providers including @DeepInfra, @novita_labs, @nebiusai, @parasailnetwork , @SiliconFlowAI , @gmi_cloud , @Baseten and @FireworksAI_HQ

See 9 related tweets

@xeophon: 51 is the same score as GPT-5.4 xhigh, btw. The model was released 3 months ago and frontier at the ...
@prz_chojecki: Full test of GLM-5.2 on ErdosBench has started.

Let's see how it compares to GPT-5.5 and Kimi K2.7...

@zephyr_z9: LFG!!! 51 at AA @teortaxesTex\n\nQT @ArtificialAnlys: Z ai’s GLM-5.2 is the new leading open weights...
@Mayhem4Markets: Holy shit.\n\nQT @ArtificialAnlys: Z ai’s GLM-5.2 is the new leading open weights model on the Artif...
@TeksEdge: Running GLM-5.2 at home on 3-4 DGX Sparks, while it will cost you ~$16K, is really phenomenal! https...

2. cryptopunk7213 (Group Score: 256.7 | Individual: 45.2)

Cluster: 8 tweets | Engagement: 655 (Avg: 155) | Type: Tech

what an unexpectedly insane day for chinese AI

deepseek raises at $50B val
then microsoft (openai’s biggest investor) announces it’s using deepseeks model for its flagship copilot ai
then Zhipu drops glm-5.2 which matches opus 4.8 and got 5.5 at top coding benchmarks

all open weight models btw. if you’re an american enterprise spending $10-100M+ a year on claude code/codex you have to at least be thinking about using these models

imagine wrapping these models in a cursor harness, performance would be very competitive.

very significant in light of recent government bans on fable too\n\nQT @Zai_org: Introducing GLM-5.2: Frontier Intelligence, Open Weights

Significant improvements in coding and agentic tasks
Strong long-horizon capabilities with a 1M context window
Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
MIT-licensed open weights
Same API pricing as GLM-5.1

Tech Blog: https://t.co/LAsxUdN0JZ Weights: https://t.co/g0A1C4UWx4 API: https://t.co/Kc3E22cbN7 Coding Plan: https://t.co/Nk8Y98HNhU Chat: https://t.co/WCqWT0qCQb

See 7 related tweets

@levie: One of the biggest questions in AI is how far behind open weights models remain from closed models a...
@jenzhuscott: So Zhipu GLM5.2:
was trained on <750b parameters, 1/3 of known closed frontier models
right b...
@testingcatalog: ZAI 🔥: GLM-5.2 by @Zai_org scored 51 point on Artificial Analysis Intelligence Index and got placed ...
@WesRoth: https://t.co/hstLTnjm7B released GLM-5.2, its new open-weight flagship model focused on coding, AI a...
@RoundtableSpace: A CHINESE CLAUDE COMPETITOR CALLED GLM 5.2 JUST LAUNCHED AND IT IS CRUSHING FABLE 5 IN SEVERAL AREAS...

3. ChrisRMcGuire (Group Score: 209.6 | Individual: 27.6)

Cluster: 9 tweets | Engagement: 35 (Avg: 103) | Type: Tech

So for those keeping score, over the last 16 days

BIS issued emergency guidance closing a major loophole it recently created that allowed Chinese firms to buy the most advanced AI chips (and still hasn’t closed another loophole it created that allows Chinese cutouts to make AI chips at TSMC/Samsung);
BIS placed export controls on a leading U.S. AI company, which caused them to pull their products offline for all customers;
Reuters reports that BIS has been refusing to publish an interagency-approved package that would place over 100 Chinese firms on the Entity List.

Really confusing times.\n\nQT @ReutersLegal: Exclusive: US holds off blacklisting China's DeepSeek, more than 100 firms deemed security risks, sources say https://t.co/j8FKnkVlZr

See 8 related tweets

@ChrisRMcGuire: Also, the direct consequence of BIS sitting on this Entity List package, which includes DeepSeek, is...
@Reuters: Exclusive: The US has held off adding China’s AI startup DeepSeek, memory chipmaker CXMT and more th...
@Chiuchiyin: https://t.co/uVfe29a1l6\n\nQT @Reuters: Exclusive: The US has held off adding China’s AI startup Dee...
@zerohedge: US Holds Off Blacklisting China's DeepSeek And Other Firms: Reuters

The US has held off adding Chi...

@ChrisRMcGuire: Definitely not correct. Placing DeepSeek on the Entity List wouldn’t restrict US companies from usin...

4. ai_explorer25 (Group Score: 192.8 | Individual: 34.7)

Cluster: 6 tweets | Engagement: 58 (Avg: 117) | Type: Tech

I started out on Claude a couple of weeks back, right when they first launched. This week I moved over to Codex since that's where most of my work is happening right now, and honestly, it just works exactly the same.

ChatGPT, Cursor, Gemini, doesn't matter which one.

One MCP install and zero re-setup

that's the thing I genuinely like about @nitrosendx. I'm not locked into a single AI tool just to use it.

and that's really how all of these tools should work\n\nQT @gthartley: Email dashboards had a good run.

Two decades. Billions of emails. I built two companies on them.

But the dashboard was never the product, it was the bottleneck.

We removed it. This is Nitrosend.

→ https://t.co/AwAv8mP5KM https://t.co/1VbBlt4cJd

See 5 related tweets

@Scobleizer: An AI native email platform built from the ground up to run entirely from inside Codex, ChatGPT, and...
@rohanpaul_ai: Every workflow is now shifting toward AI agents.

Nitrosend just made agent-powered email automation...

@TheoBuildsAI: Been spending more and more time inside Codex lately, and one thing always felt weird: I could build...
@FellMentKE: Building email flows has always been the slowest part of growth, but Nitrosend finally fixed it.

Yo...

@nitrosendx: We are live with Email for Codex\n\nQT @gthartley: Email dashboards had a good run.

Two decades. Bi...

5. rauchg (Group Score: 192.8 | Individual: 42.3)

Cluster: 6 tweets | Engagement: 1768 (Avg: 502) | Type: Tech

https://t.co/uNXS9jEgpg is Next.js for agents.

I built Next with a simple premise: 𝚙𝚊𝚐𝚎𝚜/𝚒𝚗𝚍𝚎𝚡.𝚓𝚜 is all you need. Put some React in there and you’re good to go.

Eve asks for even less. 𝚊𝚐𝚎𝚗𝚝/𝚒𝚗𝚜𝚝𝚛𝚞𝚌𝚝𝚒𝚘𝚗𝚜.𝚖𝚍. Put some English in there and you’re good to go.

Like Next, it embraces the filesystem. You can guess what 𝚝𝚘𝚘𝚕𝚜/𝚚𝚞𝚎𝚛𝚢-𝚍𝚋.𝚝𝚜 does. An agent is just a directory, whose entire spec fits in the tweet below.

And like Next on Vercel, it’s seamless to deploy. The infra, like Sandbox, Gateway, Workflow… is the output of your creation.\n\nQT @vercel: Introducing eve, an agent framework.

𝚊𝚐𝚎𝚗𝚝/ 𝚊𝚐𝚎𝚗𝚝.𝚝𝚜 𝚒𝚗𝚜𝚝𝚛𝚞𝚌𝚝𝚒𝚘𝚗𝚜.𝚖𝚍 𝚝𝚘𝚘𝚕𝚜/ 𝚜𝚔𝚒𝚕𝚕𝚜/ 𝚜𝚊𝚗𝚍𝚋𝚘𝚡/ 𝚜𝚌𝚑𝚎𝚍𝚞𝚕𝚎𝚜/

Like Next.js, for agents. https://t.co/ezUIGLkSqG

See 5 related tweets

@MTSlive: How fast have coding agents taken over software deployment?

@rauchg, live at Vercel Ship:

"Six mon...

@ShadCN: this is it. eve, for building agents.\n\nQT @vercel: Introducing eve, an agent framework.

𝚊𝚐𝚎𝚗𝚝/ ...

@vercel: Introducing eve, an agent framework.

𝚊𝚐𝚎𝚗𝚝/ 𝚊𝚐𝚎𝚗𝚝.𝚝𝚜 𝚒𝚗𝚜𝚝𝚛𝚞𝚌𝚝𝚒𝚘𝚗𝚜.𝚖𝚍 𝚝𝚘𝚘𝚕𝚜/ 𝚜𝚔𝚒𝚕𝚕𝚜/ 𝚜𝚊𝚗𝚍𝚋...

@natemcgrady: If you’re building agents, you need to try eve\n\nQT @vercel: Introducing eve, an agent framework.

...

@trevin: Every time @vercel or @ctatedev make an announcement I'm like: https://t.co/jLMenlAAlG\n\nQT @vercel...

6. mamagnus00 (Group Score: 190.8 | Individual: 39.6)

Cluster: 8 tweets | Engagement: 672 (Avg: 121) | Type: Tech

RT @Designarena: BREAKING: GLM-5.2 is now 1st on Design Arena.

With an Elo of 1360, GLM-5.2 has jumped ahead of the now unavailable Claude Fable 5.

And it's open weights.

This is an improvement of 4 positions and 27 Elo points to achieve one of the highest Elo scores in our code categories since Design Arena started.

Huge congratulations to the @Zai_org on the release!

See 7 related tweets

@chamath: It may be overfit so it’s a bit early to declare any sort of victory but it is really good to see op...
@WesRoth: GLM-5.2 reached first place on Design Arena with an Elo score of 1360.

The model gained 27 Elo poin...

@DataScienceDojo: Since Claude Fable 5 is no longer available outside the US, can we say GLM-5.2 is now the #1 model i...
@0xSero: GLM-5.2 is a continuation of ZAI’s dominance in coding models\n\nQT @ProximalHQ: GLM 5.2 ranks #3 on...
@yacineMTB: https://t.co/OKqTCcJyNX\n\nQT @ProximalHQ: GLM 5.2 ranks #3 on FrontierSWE. It is only behind Fable ...

7. arena (Group Score: 185.8 | Individual: 42.5)

Cluster: 6 tweets | Engagement: 234 (Avg: 54) | Type: Tech

RT @jietang: We're introducing GLM-5.2, our latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a solid 1M-token context. GLM-5.2's new capabilities include:

Solid 1M Context: A solid 1M-token context that stably sustains long-horizon work Advanced Coding with Flexible Effort: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency Improved Architecture: We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at a 1M context length. We also improve GLM-5.2’s MTP layer for speculative decoding, increasing the acceptance length by up to 20% Pure Open: An MIT open-source license — no regional limits, technical access without borders Supporting long-horizon tasks starts with making long context engineering-usable: the model must maintain quality across long, messy coding-agent trajectories, not just accept more tokens. A 1M context is easy to claim, but much harder to keep reliable under real engineering pressure. To this end, we substantially expanded 1M-context training for coding-agent scenarios, covering large-scale implementation, automated research, performance optimization, and complex debugging. The result is a long-context system that is not only wide in scope, but solid in execution: a practical substrate for sustained engineering work.

This capability is reflected in GLM-5.2's performance on three long-horizon coding benchmarks. FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. On this benchmark, GLM-5.2 trails Opus 4.8 by only 1%, while edging out GPT-5.5 by 1% and Opus 4.7 by 11%. On PostTrainBench, where each agent is given an H100 GPU and evaluated by how much it can improve small models through post-training, GLM-5.2 outperforms both Opus 4.7 and GPT-5.5, ranking second only to Opus 4.8. On SWE-Marathon, an ultra-long-horizon software engineering benchmark covering tasks such as building compilers, optimizing kernels, and developing production-grade services, GLM-5.2 still has room to grow, trailing Opus 4.8 by 13% while remaining second only to the Opus series. Across all three benchmarks, GLM-5.2 is the highest-ranked open-source model, showing that its 1M context has translated into practical long-horizon delivery capability.

See 5 related tweets

@ModelScope2022: GLM-5.2 is now live on ModelScope! Built for long-horizon tasks, with Solid 1M context and stronger ...
@baseten: Moving from closed to open models can cut costs significantly.

See how much you can save by using G...

@TeksEdge: This is pretty insane! You can run one of the top LLMs, GLM-5.2, at home on 3 x DGX-Sparks available...
@ying11231: RT @lmsysorg: 🎉 Meet GLM-5.2 from @Zai_org, the new flagship for long-horizon tasks built on a solid...
@DataChaz: RT @DataChaz: 🚨 @ZAI_ORG JUST DROPPED GLM-5.2, AND IT IS PUNCHING RIGHT AT THE LEVEL OF CLAUDE OPUS ...

8. teortaxesTex (Group Score: 166.4 | Individual: 36.4)

Cluster: 5 tweets | Engagement: 134 (Avg: 76) | Type: Tech

Deli open sources his AutoResearch. https://t.co/oiQSevJC2O\n\nQT @victor207755822: 🧵 Deli AutoResearch SKILL is now officially open source! 🎉 https://t.co/V3lwwdyQm8

Alongside it, we’re dropping our 4th survey paper — this time on Self-play. https://t.co/SEb2qoKCI6

Inspired by AlphaZero, we got a powerful insight: prior knowledge doesn’t always lift the ceiling. Models can discover more globally optimal solutions just by playing against themselves.

The biggest change in this paper? For the first time, the AutoResearch Agent autonomously planned GPU experiments — and submitted actual RL runs on the DeepSeek 285B model.

The entire RL pipeline — experiment design, code writing, running, debugging, and conclusion summarization — was 100% automated, with zero human intervention from me. This was incredibly difficult, but an incredibly important step. https://t.co/kuZZNux5RH

GRPO is the tool being called by the AutoResearch Agent here. We see this as the beginning of our Continual Learning research journey. 🚀

As always, this is my personal research project, unaffiliated with any organization. All views are my own.

#AI #ReinforcementLearning #SelfPlay #OpenSource #AutoML #ContinualLearning #DeepSeek

See 4 related tweets

@BrianRoemmele: RT @DrJimFan: Today, we enable AutoResearch in the physical world for the first time! Introducing EN...
@antiochrobotics: Autoresearch is the future of physical autonomy. We're building the simulation layer that allows age...
@zephyr_z9: GRPO ain't going away https://t.co/i6CmeJYAXX\n\nQT @victor207755822: 🧵 Deli AutoResearch SKILL is n...
@sheriyuo: No time to be disappointed about DeepSeek V4.1 not dropping.

Deli AutoResearch V4 has already arriv...

9. garrytan (Group Score: 156.7 | Individual: 61.1)

Cluster: 4 tweets | Engagement: 1594 (Avg: 195) | Type: Tech

If you need a website, this is the best website creator on the planet: Ploy by Bryant Chou

Drop everything and use this to improve your website now. A total redesign to your taste is at your fingertips. Try it with a side project and you'll bring it to your main project in 2 weeks or less, I predict.\n\nQT @bryantchou: AI is making marketers lazy.

So we made the website do the work instead. Today, we're launching @ployai: the all-in-one marketing platform that turns your website into your hardest working employee.

And we're coming out of stealth today with a $27M seed led by @ycombinator and @firstround.

I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI.

Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel.

But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together.

Until now.

Teams at @hex_tech and @clay_run, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads.

Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.

See 3 related tweets

@firstround: RT @bryantchou: AI is making marketers lazy.

So we made the website do the work instead. Today, we'...

@shensi: CONGRATS BRYANT!!!!!!!!! this looks sick\n\nQT @bryantchou: AI is making marketers lazy.

So we made...

@firstround: RT @tjack: Back in 2013, when I was starting Cover, I was introduced to @bryantchou. I was so impres...

10. teortaxesTex (Group Score: 135.0 | Individual: 32.7)

Cluster: 5 tweets | Engagement: 236 (Avg: 76) | Type: Tech

> I believe Europe and the US should work together on AI. Together, we represent 70% of the world market.

no you don't lmao, you're under 10% of the world pop
"Europe and the US" https://t.co/5mrSEz8s6E\n\nQT @vonderleyen: Important G7 session on AI.

AI is developing exponentially. It is the most important technology of our time.

It comes with immense potential, but also risks for free, democratic societies.

I believe Europe and the US should work together on AI.

Together, we represent 70% of the world market.

We have complementary strengths, shared security interests, and a common responsibility to lead.

So we should deepen our cooperation.

Invest together.

Accelerate adoption everywhere, from industry to healthcare.

And ensure that the most powerful models are trustworthy and safe.

See 4 related tweets

@etnshow: Senior Researcher @GoogleDeepMind and Co-Author of Europe 2031 @bakkermichiel on Europe's next steps...
@etnshow: Senior Researcher at @GoogleDeepMind and Europe 2031 co-author @bakkermichiel says Europe is startin...
@vonderleyen: Important G7 session on AI.

AI is developing exponentially. It is the most important technology of ...

@Hadas_Gold: Altman next to Trump - Dario clear across\n\nQT @vonderleyen: Important G7 session on AI.

AI is dev...

11. jukan05 (Group Score: 133.4 | Individual: 37.1)

Cluster: 5 tweets | Engagement: 784 (Avg: 593) | Type: Tech

Samsung is reportedly in talks with AMD to manufacture CPUs through its foundry business, with mass production expected in 2028.

LFG! https://t.co/6WxO1etdEv\n\nQT @jukan05: Samsung sees rising chip production requests from BYD, Google, AMD- Nikkei Asia

BYD, Google, AMD, Tesla and others are looking increasingly to Samsung Electronics for contract chipmaking services as surging demand for AI infrastructure strains the advanced chipmaking capacity of market leader TSMC, Nikkei Asia has learned.

Samsung has seen a surge in inquiries from existing and potential global customers, including those in China, looking to use its advanced chip manufacturing capacity, according to six people with knowledge of the matter.

BYD, China's top electric vehicle maker, has been in talks with Samsung about building future generations of autonomous driving chips, while Google is engaging with the South Korean company about potentially producing its next-generation Axion processors, set to launch around 2028, two people familiar with the matter told Nikkei Asia. Google is also considering asking Samsung to build part of its key Tensor Processing Units (TPUs) for AI computing workloads, as early as 2028, one of the people said.

"TSMC is prioritizing advanced-node production not only because it reinforces its tech leadership and long-term strategy, but also because those nodes are more profitable and remain in short supply," said an executive from a Chinese autochip designer, who asked not to be named. "Samsung's yields still lag behind TSMC's, but capacity availability has made it an increasingly attractive option."

Yield is the industry term for production quality, measured as the percentage of chips produced that meet the required specifications and performance.

TSMC, Samsung and Intel are the world's only chipmakers that can offer cutting-edge chip production at a large scale. TSMC has secured the majority of such orders, as well as orders for advanced chip packaging services, from the likes of Nvidia, Apple, AMD, Broadcom, Marvell and MediaTek. These clients take up a large share of the Taiwanese chipmaking group's advanced chipmaking capacity.

Intel, which mainly manufactures chips for in-house use, is working to attract more customers to adopt its advanced chipmaking and packaging capacity.

The Chinese auto industry executive said many chip designers in the country are now pursuing a dual-sourcing strategy, spreading orders between TSMC and Samsung rather than relying on a single foundry, with exact allocation depending on the product.

"Geopolitical factors also push some U.S. clients to use multiple contract chipmakers, if available out there, if they can," another chip industry executive with knowledge told Nikkei Asia.

"TSMC's advanced chip production capacity is really full, which is hard for Chinese clients who have smaller volumes to place new orders, so several have turned to approach Samsung for future possibilities," said an executive-level chip industry source who is familiar with the matter.

Google has been a driving force in the multi-foundry strategy, sources told Nikkei Asia. MediaTek, Taiwan's top chip developer, is helping Google to work with both TSMC and Intel for advanced chip packaging, Nikkei Asia earlier reported, while Qualcomm, the U.S. mobile chip king, has long made use of both TSMC's and Samsung's services.

However, using multiple foundries for advanced chip production requires substantial investment in adapting chip designs to different chipmakers' manufacturing processes, along with greater R&D and supply-chain coordination. Such a strategy is typically viable only for deep-pocketed chip developers, given the additional engineering and workforce costs involved.

Meanwhile, capacity constraints at TSMC are pushing other existing customers to potentially place more orders with Samsung, sources said.

Tesla works with both Samsung and TSMC on various products, including its AI5 chips used in its cars and robots. The upcoming AI6, however, will be made by Samsung in Texas. Tesla founder Elon Musk also announced a partnership with Intel for its future terafab projects in Texas, aiming to bring more critical chip production back to the U.S. and help meet growing demand.

AMD and Nvidia, key clients of TSMC, are also working with Samsung on some chip projects due to capacity constraints. AMD, for example, is in talks to build some future CPUs with Samsung from 2028, one source with knowledge of the situation said.

Nvidia's Groq language processing units (LPUs) are produced by Samsung, and the U.S. chipmaker has not decided whether production of the next generation of these highly specialized chips will be given to other contract chipmakers. The majority of Nvidia's chips are made exclusively by TSMC.

The increasing requests for leading-edge chip production for Samsung would mark a victory for the South Korean chipmaker's foundry business, which used to mainly serve its own consumer electronics and home appliance divisions.

The growing foundry business comes as Samsung is also riding the AI investment boom, enjoying exponentially growing demand for its memory products, including high-bandwidth memory chips, DRAM and NAND flash memories.

Samsung said that it does not comment on customers.

New orders would help Samsung's foundry unit rebound from a recent downturn. The company said earnings for the segment declined in the first quarter due to it being the off-peak season, but it did not elaborate on how big the dip was.

Samsung's foundry and system large-scale integration business units posted a combined 6.9 trillion won ($4.6 billion) in sales in the first quarter, up from 6 trillion won a year ago. Samsung does not break down its earnings for the two units, the latter of which makes an array of logic and analog chips, including image sensors and display chips.

BYD declined to comment. Google said it does not comment on the details of its supply chain.

See 4 related tweets

@bubbleboi: This is good cause you get more capacity out of a wafer. So Samsung can increase capacity without mu...
@StockSavvyShay: Samsung is reportedly in talks with $AMD to manufacture CPUs through its foundry business.

Mass pro...

@danielnewmanUV: Right now it is all the chips that can be made. $TSM still far and away foundry leader but the AI de...
@Techmeme: Sources: Samsung is seeing a rise in advanced chip production requests from BYD, Google, AMD, and ot...

12. dr_cintas (Group Score: 133.2 | Individual: 36.1)

Cluster: 4 tweets | Engagement: 112 (Avg: 66) | Type: Tech

This new AI model can keep listening while it responds 🤯

Most AI has a fundamental flaw.

It listens. Then it stops listening. Then it responds. Then it listens again.

That stop-start loop is why talking to AI still feels unnatural. The model goes blind the moment it opens its mouth.

MaineCoon breaks that pattern. It’s the first real-time audio-visual model that keeps perceiving while it’s responding. Voice, image, and video held in one continuous streaming context.

22B parameter model
47.5 FPS on a single GPU
Sub-second interaction

We are finally getting closer to have an AI that listens like a person does.\n\nQT @catnips_ai: 🥇MaineCoon: From Passive Video to Real-Time AI Presence

The first unlimited-duration interactive audio-visual model.

Most AI products today still feel like they live behind a screen.

You type. It answers. You speak. It replies.

The interaction is still mostly turn-based.

Mainecoon is built around a different idea: AI should not just respond to you. It should feel present with you.

🔗Learn more Website ↓ https://t.co/SFpsMsvLs9 Blog ↓ https://t.co/nkc1KT7bT5

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@svpino: Look at the speed at which this model generates video!

Imagine a chat interface that uses real-time...

@kimmonismus: The interesting move with MaineCoon is that it doesn't stop perceiving once it starts responding.

M...

@Hesamation: AI video's next generation is REACTION TIME, and MaineCoon is now the SOTA for low-latency AI videos...

13. Parul_Gautam7 (Group Score: 131.7 | Individual: 36.4)

Cluster: 4 tweets | Engagement: 46 (Avg: 107) | Type: Tech

We're moving from subscribing to software to generating it on demand.

If AgentBase delivers on this vision, teams could replace dozens of disconnected tools with one AI-powered workspace.

That's a pretty exciting shift.\n\nQT @genspark_ai: 🚀 Introducing Genspark AgentBase (Preview).

Turn your data into custom databases, dashboards, and internal systems.

Stop buying 30+ SaaS tools. Build your own with Genspark AgentBase.

Compatible with your current systems: Salesforce, HubSpot, and your other existing databases.
Pull data from your daily work: inbox, files, apps, and meeting notes.
Customize your system with one prompt. Tell AgentBase what you need, and it builds dashboards and workflows that match how you actually work.
Build any system you need in minutes: CRM, hiring system, project tracker, and more.

Genspark AgentBase makes every SaaS work for you.

Start building at our launch price: https://t.co/vwWWK9Rht7

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@heyrobinai: no way this is real.. genspark agentbase just replaced entire dev teams

Genspark AgentBase can now:...

@sang_wen: Build your own #CRM! Build your own #ATS! Build your own #ERP! @genspark_ai AgentBase!! Zero coding ...
@dr_cintas: RT @genspark_ai: 🚀 Introducing Genspark AgentBase (Preview).

Turn your data into custom databases, ...

14. thekaransinghal (Group Score: 130.4 | Individual: 29.3)

Cluster: 5 tweets | Engagement: 248 (Avg: 134) | Type: Tech

RT @OpenAI: Introducing LifeSciBench, a benchmark for measuring and improving how well AI supports real-world life science research.

Developed with 173 scientists from biotechnology and pharmaceutical research, LifeSciBench includes 750 expert-authored tasks across seven biological research workflows.

https://t.co/JTk0wXHFrT

See 4 related tweets

@scaling01: also where is the internal AGI-Bench?

would be funny if Opus 4.8 is ahead on their internal leaderb...

@scaling01: https://t.co/gQmcZ0YUFX\n\nQT @OpenAI: Introducing LifeSciBench, a benchmark for measuring and impro...
@Hesamation: OpenAI released LifeSciBench. https://t.co/DEY1M6jDV2\n\nQT @OpenAI: Introducing LifeSciBench, a ben...
@MTSlive: SITUATION DETECTED: OpenAI has released LifeSciBench, a new benchmark designed to test AI on the com...

15. _chenglou (Group Score: 130.3 | Individual: 29.2)

Cluster: 5 tweets | Engagement: 602 (Avg: 217) | Type: Tech

RT @midjourney: Midjourney will be announcing its first hardware project tomorrow (Wednesday 6/17) at 6pm PT. Stay tuned for a livestream of our in-person launch event in San Francisco. If you're in town and want an invite, reply below, we have just a few slots left.

See 4 related tweets

@WesRoth: Midjourney will reveal its first hardware project during an in-person launch event in San Francisco,...
@mark_k: Star Trek holodeck incoming from @midjourney 🔥\n\nQT @midjourney: Midjourney will be announcing its ...
@Kyrannio: I can't wait to see what these guys have been cooking.\n\nQT @midjourney: Midjourney will be announc...
@alexeheath: 👀\n\nQT @midjourney: Midjourney will be announcing its first hardware project tomorrow (Wednesday 6/...

16. AdinaYakup (Group Score: 130.2 | Individual: 29.7)

Cluster: 6 tweets | Engagement: 44 (Avg: 301) | Type: Tech

Really cool to see the GLM 5.2 blog on @huggingface 🔥

https://t.co/wbfHc9n5AM https://t.co/TQ78ooLhqQ\n\nQT @Zai_org: Introducing GLM-5.2: Frontier Intelligence, Open Weights

Significant improvements in coding and agentic tasks
Strong long-horizon capabilities with a 1M context window
Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
MIT-licensed open weights
Same API pricing as GLM-5.1

Tech Blog: https://t.co/LAsxUdN0JZ Weights: https://t.co/g0A1C4UWx4 API: https://t.co/Kc3E22cbN7 Coding Plan: https://t.co/Nk8Y98HNhU Chat: https://t.co/WCqWT0qCQb

See 5 related tweets

@leo_linsky: I didn't expect GLM 5.2 to be this good.\n\nQT @GertLabs: GLM 5.2 results are now live on GBENCH:

T...

@Zai_org: RT @SiliconFlowAI: Code like a real G😎 Congrats to @Zai_org 's GLM 5.2 ranks #1 as available model o...
@Zai_org: RT @FeatherlessAI: GLM 5.2 is here, and we’re proud to partner with Z AI to make GLM 5.2 accessible ...
@ollama: let's go open models! ❤️\n\nQT @nickvasiles: GLM 5.2 is genuinely so impressive!

We finally have S...

@awnihannun: RT @pcuenq: GLM 5.2 has just been released 🔥

Here it's already running with MLX on two Mac Studios ...

17. alexcooldev (Group Score: 129.6 | Individual: 37.0)

Cluster: 5 tweets | Engagement: 187 (Avg: 139) | Type: Tech

I remember when Cursor first launched, many people mocked it as “just a VS Code fork” that could never compete with VS Code + GitHub Copilot.

I switched to Cursor early simply because its code suggestions were better and the "Tab" experience felt smoother this was before agents even existed.

I’ve used it ever since and never felt the need to switch back.

A great reminder: focus on solving real user problems, not on people saying, “This already exists.”

Ship. Test the market. Iterate. Let the results speak.

Congrats to the Cursor team, you proved them wrong. 👏\n\nQT @cgtwts: SpaceX just acquired Cursor for $60B

be Cursor 4 MIT students start a side project in 2022 build the AI coding tool developers love hit a $10B valuation decide copilots aren’t enough move into models need massive compute to compete with OpenAI, Anthropic & Google meanwhile xAI is losing the coding race realizes catching up could take years skips the line buys Cursor for$ 60B Cursor gets compute xAI gets the coding leader founders become multi-billionaires

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@teslaownersSV: SpaceX ( $SPCX) has acquired Cursor for$ 60 billion.

Just months ago, Jensen Huang highlighted Curso...

@thealexbanks: The Alan Kay line Steve Jobs lived by:

People serious about software should make their own hardwar...

@om_patel5: seems like cursor was once an ai assistant for cad.

if you are creating an ai for cad you should pr...

@rohanpaul_ai: RT @rohanpaul_ai: SpaceX just moved to buy Cursor’s parent Anysphere for $60B .

The deal is all-sto...

18. wallstengine (Group Score: 121.3 | Individual: 25.2)

Cluster: 6 tweets | Engagement: 154 (Avg: 97) | Type: Tech

OpenAI Q1 2026 financials, per The Information:

Revenue: $5.7B Cash burn:$ 3.7B Gross margin: 39%, up from 33% Y/Y R&D spend: $8.6B Cash/securities:$ 73B+ Compute commitments through 2030: ~$665B

The company had projected it would burn $25B this year and$ 57B next year https://t.co/1nXjPcyUD7

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@BullTheoryio: 🚨 OPENAI LOST 8 TIMES MORE MONEY IN 2025 THAN IT DID IN 2024.

According to audited financial docume...

@WesRoth: OpenAI reportedly spent $34 billion in 2025 as it invested heavily in AI research, product developme...
@edzitron: RT @edzitron: Exclusive: I have seen OpenAI's audited financials for 2024 and 2025.

In 2025, OpenA...

@theinformation: OpenAI burned $3.7 billion in the first quarter while generating$ 5.7 billion in revenue. Its cash p...
@rohanpaul_ai: RT @rohanpaul_ai: FT: OpenAI is growing fast, but its numbers show how expensive frontier AI has bec...

19. IamEmily2050 (Group Score: 118.3 | Individual: 37.5)

Cluster: 5 tweets | Engagement: 980 (Avg: 180) | Type: Tech

Here we go, the beginning of the new wave of games is coming.\n\nQT @UnrealEngine: Unreal Engine 5.8 ships today with experimental MCP server support:

Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together: https://t.co/cDITLWWv2F

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@Scobleizer: RT @UnrealEngine: Unreal Engine 5.8 ships today with experimental MCP server support:

Your sources,...

@adocomplete: This is amazing.

As someone that's not a game dev but has tried with modern AI tooling and not gott...

@markgadala: Tired of waiting for the new GTA VI ? You can just vibe code it now\n\nQT @UnrealEngine: Unreal Engi...
@ivanfioravanti: Unreal Engine with MCP Server Support! This means you can build the 3D world you have in your mind! ...

20. Mayhem4Markets (Group Score: 112.3 | Individual: 39.5)

Cluster: 4 tweets | Engagement: 310 (Avg: 48) | Type: Tech

RT @odysseyml: We’ve raised a $310M Series B to accelerate world models!

We believe AI that can understand and simulate the world will be one of the most important technologies of our time.

We're excited to partner with Natural Capital, Amazon, GV, AMD, IQT, and others to bring this to life. https://t.co/788Mt2Tyxs

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@rohanpaul_ai: RT @olivercameron: When @jeffrey_hawke and I started @odysseyml in 2023, we believed general world m...
@Jameswise: Richly deserved investment into one of the strongest technical teams in the UK.

Congrats @odysseyml...

@etnshow: BREAKING: Odyssey, the AI lab pioneering world models, raises $310M Series-B from Amazon, AMD Ventur...