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热门科技推文 - 2026-05-29
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- Name
- geeknotes
2026年5月29日科技每日简报
Today's top tech conversations are led by @no_stp_on_snek, whose post about 'RT @claudeai: Introducing Clau...' garnered the highest engagement. Key themes trending across the top stories include revenue, claude, billion, https, dynamic. The community is actively discussing recent developments in AI, engineering practices, and startup strategies.
1. no_stp_on_snek (Group Score: 1201.9 | Individual: 57.8)
Cluster: 44 tweets | Engagement: 12120 (Avg: 615) | Type: Tech
RT @claudeai: Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price. https://t.co/EufxL7T1kb
See 43 related tweets
- @swyx: "Developers can update Claude’s instructions mid-task without breaking the prompt cache or routing t...
- @kimmonismus: HOLY, here we go: Opus 4.8 in the claude code model selector on the desctop app.
Looks like its rel...
- @trq212: I think you’ll really like Opus 4.8
It’s as smart as its benchmarks show but expresses and utilizes...
- @JoshKale: Everybody will be wrong about Opus 4.8 if they only look at benchmarks. Under the hood there's some ...
- @edzitron: it's so funny to sell a product that you have to reassure people will be "more honest"\n\nQT @claude...
2. rohanpaul_ai (Group Score: 314.3 | Individual: 38.6)
Cluster: 11 tweets | Engagement: 54 (Avg: 53) | Type: Tech
Claude Opus 4.8 dropped.
- 2.5x faster fast mode, which is also 3x cheaper
- has a new “dynamic workflows” feature that allows it to tackle very large-scale problems.
- 74.6% on agentic terminal coding is the biggest benchmark jump over Opus 4.7, rising from 66.1%
- New “dynamic workflows” feature that allows it to tackle very large-scale problems.
- The new leader on our GDPval-AA benchmark for agentic real-world work tasks
The dynamic workflows in Claude Code will break a massive engineering task into many smaller jobs, run them through tens to hundreds of parallel subagents, and check the results before handing anything back.
A normal coding agent works like one developer reading, editing, and testing in sequence, but dynamic workflows behave more like a temporary engineering team coordinated by Claude.
Claude first writes an orchestration plan, which is basically a task map that says what needs to be inspected, rewritten, tested, reviewed, or challenged.
Separate subagents then work on different parts of the repo at the same time, so one agent might inspect authentication code, another might port files, another might search for unsafe patterns, and another might try to break the proposed fix.
The major change is verification, because Claude does not just collect answers from subagents, but compares them, refutes weak findings, runs checks, and keeps iterating until the results converge.\n\nQT @claudeai: Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price. https://t.co/EufxL7T1kb
See 10 related tweets
- @AlexFinn: Drop what you're doing. It happened.
Opus 4.8 is out and it smashes every benchmark
Clearly the ex...
- @levie: Opus 4.8 is out, and we've been testing it with the Box AI agent on our most complex real-world know...
- @wallstengine: Anthropic introduced Claude Opus 4.8, upgrading its top model for coding, agentic workflows, reasoni...
- @VaibhavSisinty: AI just crossed a line. 🔥
Anthropic shipped a model that admits when it's wrong.
Claude Opus 4.8 i...
- @nummanali: Don’t go below XHigh reasoning on Opus 4.8 for consistent performance
Thanks @danshipper !\n\nQT @d...
3. wallstengine (Group Score: 280.8 | Individual: 46.0)
Cluster: 8 tweets | Engagement: 472 (Avg: 121) | Type: Tech
$DELL Q1’27 EARNINGS HIGHLIGHTS
🔹 Revenue: 34.81B) 🟢; +88% YoY 🔹 Adj. EPS: 2.88) 🟢; +214% YoY 🔹 AI-Optimized Servers Revenue: $16.1B; +757% YoY
FY Guide: 🔹 Revenue: 169.0B (Est. 17.90 (Est. 60B; +144% YoY, up from ~$50B
Q2 Guide: 🔹 Revenue: 45.0B (Est. 4.80 (Est. $3.01) 🟢; +107% YoY
Segment Performance:
🔹 ISG Revenue: 16.1B; +757% YoY 🔹 Traditional Servers & Networking Revenue: 4.3B; +8% YoY 🔹 ISG Operating Income: 14.6B; +17% YoY 🔹 Commercial Client Revenue: 1.6B; +9% YoY 🔹 CSG Operating Income: $1.2B; +79% YoY
Financials: 🔹 AI Orders: 4.1B; +46% YoY 🔹 Operating Income: 4.235B; +154% YoY 🔹 Net Income: 3.165B; +42% YoY
Capital Return: 🔹 Shareholder Returns: $2.1B through repurchases and dividends
Commentary: 🔸 “Our record Q1 performance reflects strong in-quarter demand, as well as our pace of innovation across the full stack of PCs, compute and storage.”
🔸 “We booked 16.1 billion of AI server revenue.”
🔸 “We’re increasing our AI server revenue expectations for FY27 to $60 billion, which only goes to show the AI opportunity shows no signs of slowing.”
🔸 “We entered FY27 with clear momentum, raising our full-year revenue outlook to $167 billion at the midpoint, up nearly 50% year over year.”
See 7 related tweets
- @wallstengine: $MDB is up over 55% from its after-hours lows after beating across the board on earnings. https://t....
- @wallstengine: $MDB Q1’27 EARNINGS HIGHLIGHTS
🔹 Revenue: 667.9M) 🟢; +25% YoY 🔹 Adj. EPS: $1.32 (Est...
- @wallstengine: $PATH Q1’27 EARNINGS HIGHLIGHTS
🔹 Revenue: 397.2M) 🟢; +17% YoY 🔹 Adj. EPS: $0.15 (E...
- @wallstengine: $OKTA Q1’27 EARNINGS HIGHLIGHTS
🔹 Revenue: 752.07M) 🟢; +11% YoY 🔹 Adj. EPS: $0.91 (Est...
- @wallstengine: $ADSK Q1’27 EARNINGS HIGHLIGHTS
🔹 Revenue: 1.89B) 🟢; +18% YoY 🔹 Adj. EPS: $2.99 (Est....
4. eastdakota (Group Score: 267.7 | Individual: 49.0)
Cluster: 11 tweets | Engagement: 921 (Avg: 92) | Type: Tech
There’s a ton of headroom to better optimize AI training and inference.\n\nQT @elonmusk: SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220k GB300s with 800G NICs, making heavy use of pipeline parallelism and getting as close to bare metal as possible.
The potential speed improvement vs JAX for large training runs is over an order of magnitude.
See 10 related tweets
- @teslaownersSV: SpaceX is reportedly building its own ultra-optimized AI training stack completely from scratch in C...
- @myrhex: SpaceXAI has nearly finished V1.0 of its own in-house AI training stack, written entirely in C.
It ...
- @elonmusk: SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220...
- @myrhex: Elon just followed up on the in-house AI training stack.
SpaceXAI is now building the inference sta...
- @XFreeze: If you want to join the top talent in the world and push to the absolute limits of what’s possible… ...
5. noahzweben (Group Score: 234.3 | Individual: 38.1)
Cluster: 10 tweets | Engagement: 433 (Avg: 158) | Type: Tech
This is one of the most useful and incredible things we've shipped. @bcherny once called it the future. Give it a whirl!!\n\nQT @ClaudeDevs: New in Claude Code (research preview): dynamic workflows.
Claude writes an orchestration script on the fly, then spins up a large fleet of coordinated subagents in parallel to take on your most complex tasks.
Use the word "workflow" in a prompt to get started. https://t.co/re4SG3AyDm
See 9 related tweets
- @a1zhang: In case you're curious about why dynamic workflows are so powerful and the future, read the RLM pape...
- @VaibhavSisinty: Dynamic workflows in Claude Code is the wildest thing Anthropic shipped today.
You hand it a massiv...
- @_bgiori: This is sick.
Static -> Dynamic Defined Behaviors -> Emergent Behaviors
If I were to make a...
- @rickasaurus: RT @sidbid: Super excited to finally share Dynamic Workflows in Claude Code!!
We built this a coupl...
- @Vtrivedy10: Work-as-a-Service (WaaS)...the ultimate API\n\nQT @ClaudeDevs: New in Claude Code (research preview)...
6. tab_delete (Group Score: 214.9 | Individual: 26.5)
Cluster: 11 tweets | Engagement: 52 (Avg: 27) | Type: Tech
Anthropic just raised more money from venture capitalists than the entire company was worth this time last year.
In spring 2025, it was valued at 900bn...\n\nQT @MikeIsaac: NEWS: Anthropic raises 900 billion
See 10 related tweets
- @MikeIsaac: new numbers from ANT too: company says its revenue run rate surpassed $47 billion earlier this month...
- @theinformation: Anthropic’s revenue has surged past OpenAI’s after growing fivefold in the first five months of 2026...
- @Forbes: Anthropic secured a 65 billion, o...
- @wallstengine: Anthropic raised 965B post-money.
The round was l...
- @theinformation: OpenAI entered 2026 as the clear commercial leader in AI.
Five months later, Anthropic is generati...
7. cryptopunk7213 (Group Score: 211.2 | Individual: 31.7)
Cluster: 9 tweets | Engagement: 52 (Avg: 107) | Type: Tech
anthropic holding no punches today. massive $65 billion raise valuing them above openai
can’t help but notice the insane strategic alignment:
top 3 ai memory producers invested in this round. sk hynix, micron and samsung
anthropic is the only ai lab available on all major cloud providers.
only ai lab to train/inference across 3 different chip architectures (nvidia gpus, google tpus, amazon tranium)
krishna (cfo) has a nice new compute budget to release mythos to the public :)\n\nQT @AnthropicAI: We've raised 965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia.
This investment will help us advance our research and expand our capacity to meet growing demand for Claude.
See 8 related tweets
@shiri_shh: pretty sure Anthropic CEO is having the best week of his life.
Opus 4.8 released
raised $65 ...
@StockSavvyShay: Anthropic reportedly raised 965B post-money valuation making it the world’s most valuabl...
@rohanpaul_ai: After today's raise of $65 B, Anthropic is currently is more valuable than OpenAI.
Anthropic: $965B...
- @rohanpaul_ai: Wow. Anthropic secures a massive post-money valuation of 65 B.
Just three mont...
- @business: Anthropic raised 965 billion including...
8. markgurman (Group Score: 203.2 | Individual: 38.2)
Cluster: 8 tweets | Engagement: 3074 (Avg: 479) | Type: Tech
BREAKING: A first look with renders at Apple’s upcoming iOS 27, completely revamped Siri, major new AI features, enhanced photo editing, a customizable Camera app aimed at pros and more. https://t.co/RvKch3m67S
See 7 related tweets
- @business: Apple is set to release a pretty significant redesign to Siri in its iOS 27 that includes AI feature...
- @kimmonismus: Bloomberg leaked Apple's full iOS 27 Siri redesign.
Two years of delays, biggest update in Siri's ...
- @StockSavvyShay: $AAPL is reportedly preparing a major Siri redesign for iOS 27 that would make it the center of Appl...
- @ShishirShelke1: Apple is reportedly bringing some major AI upgrades to the Photos app in iOS 27.
New “Reframe” to...
- @seraleev: RIP plant identifier apps.
New Siri will do it out of the box. For free. https://t.co/zGAEmTIP3H\n\...
9. MTSlive (Group Score: 178.1 | Individual: 38.8)
Cluster: 8 tweets | Engagement: 531 (Avg: 114) | Type: Tech
SITUATION BREWING: Anthropic says it plans to release Mythos-class models to all customers in the coming weeks.
See 7 related tweets
- @peterwildeford: Mythos coming out soon? 👀
From the announcement: "We’re making swift progress on developing these s...
- @MTSlive: https://t.co/7bwRuB8VwA\n\nQT @MTSlive: SITUATION BREWING: Anthropic says it plans to release Mythos...
- @StockMKTNewz: Anthropic is working to release its Mythos model to all customers over the next couple of weeks http...
- @wallstengine: ANTHROPIC WORKING TO RELEASE MYTHOS MODEL TO ALL CUSTOMERS IN COMING WEEKS https://t.co/VagWiuCaRm...
- @Techmeme: Anthropic says it expects Mythos-class models to be available to all customers "in the coming weeks"...
10. huggingface (Group Score: 169.4 | Individual: 41.2)
Cluster: 5 tweets | Engagement: 352 (Avg: 73) | Type: Tech
RT @liquidai: Today, we're releasing LFM2.5-8B-A1B, a device-optimized model designed to power real-life applications on phones, laptops, PCs, robots, and fast & lightweight server-side use-cases.
8B MoE, 1.5B active Expanded 128K context LFM2.5 flagship hybrid MoE architecture Trained on 38T tokens + large-scale RL fast, reliable tool calling, punching above its weight, comparable to models with up to 4x its size customizable on a single GPU for any specialized task LFM2 open-weight license
🧵
See 4 related tweets
@Prince_Canuma: Already on MLX 😎🚀\n\nQT @liquidai: Today, we're releasing LFM2.5-8B-A1B, a device-optimized model de...
@lmsysorg: 🎉Congrats to the @liquidai team on LFM2.5-8B-A1B! Day-0 support is now live in SGLang.
8B MoE, 1....
@TeksEdge: Loving the LFM2.5-8B-A1B jump to 128K context + 1.5B active params. I wonder how well does that ~1B ...
@ivanfioravanti: Gonna test it soon!\n\nQT @liquidai: Today, we're releasing LFM2.5-8B-A1B, a device-optimized model ...
11. vasuman (Group Score: 147.4 | Individual: 33.0)
Cluster: 5 tweets | Engagement: 20 (Avg: 556) | Type: Tech
Rote caches the calls so you save money, and performs based on what it learns. Exciting stuff\n\nQT @conikeec: We raised $3M on one observation:
Agents learn on your dime. And forget.
Every run, your agent figures out the same APIs, makes the same calls, hits the same failures. Because nothing saved what worked.
We built Rote by @modiqoai to fix this.
Point it at any API. Rote reads the spec and builds a surface your agent can call: auth, endpoints, schemas. That's the adapter.
When your agent finishes a task, Rote saves the exact calls that worked. That's the flow.
Config in. Code out. Runs on your machine. Nothing to watch over.
Agents stop starting from scratch. Teams stop paying for the same work twice.
Install → https://t.co/7clzPnKWwj
See 4 related tweets
- @godofprompt: Agents don’t need another shiny demo.
They need memory for the boring production flows that actuall...
- @shiri_shh: POV: watching my AI agent burn another 193k tokens re-learning an api it used yesterday 😭 https://t....
- @heyrobinai: no way agents have been this dumb this whole time
every task -> same API calls -> same failur...
- @alex_prompter: Your AI agent isn’t “thinking.”
It’s re-paying the same stupidity tax every time it touches an API....
12. sandygrains (Group Score: 140.3 | Individual: 38.9)
Cluster: 6 tweets | Engagement: 22274 (Avg: 2575) | Type: Tech
RT @lowkeymattyt: So far AI has:
• destroyed the prices of personal electronics • have data centers relocate people from homes and contaminate water supplies • destroy the concept of objective reality with Gen AI • layoff off thousands from jobs
Oh, but it’s the future guys!
See 5 related tweets
- @DavidSacks: Back in January, on our Predictions show, my Most Contrarian Take for 2026 was that AI would create ...
- @chris_j_paxton: This is the logical response to a lot of the rhetoric that has been going around in AI circles. "We ...
- @business: EY CEO Janet Truncale tells @lizzzburden nearly all business leaders expect AI to reshape work, but ...
- @secureainow: RT @allie__voss: I'm very pro-AI but I don't know if we're truly prepared for the immediate economic...
- @secureainow: RT @WaltBlanksJr: The scary part isn’t that AI is coming. It’s that most people still think this is ...
13. kazunori_279 (Group Score: 139.3 | Individual: 57.1)
Cluster: 4 tweets | Engagement: 698 (Avg: 71) | Type: Tech
RT @hardmaru: For over a decade, we’ve accepted that end-to-end backprop is the only way to train deep networks. But holding the entire network in memory all at once is why AI training is hitting a resource wall.
We found a new way to break the network into blocks and train them independently. The trick? Treating the network’s forward pass like a diffusion model denoising a signal.
This reinterpretation slashes the memory needed to train deep models. In our #ICLR2026 paper (https://t.co/PK5h0mqQSo), we matched end-to-end performance across ViTs, DiTs, and LLMs. We did this while training just one isolated block at a time.
See 3 related tweets
- @sedielem: Diffusion models are recurrent neural networks🧐
https://t.co/vq525ylrM7\n\nQT @SakanaAILabs: Introd...
- @yacinelearning: this is pretty exciting and elegant I'll be printing that paper this weekend for sure\n\nQT @SakanaA...
- @mark_k: Very interesting work from @SakanaAILabs: DiffusionBlocks.
Instead of training a whole neural netwo...
14. chddaniel (Group Score: 132.5 | Individual: 23.5)
Cluster: 6 tweets | Engagement: 30 (Avg: 22) | Type: Tech
shipper just raised at $164m valuation...
and you're still early https://t.co/dfSzCcGQBg\n\nQT @chddaniel: BREAKING: Shipper just raised 164.4M valuation.
Approaching $2M annual run rate.
Two founders & AI. Without any employees.
Shipper runs companies autonomously.
It also orchestrated its own VC funding.
We just showed signed. https://t.co/AKIa7OLCLG
See 5 related tweets
- @Shipper_now: "The world's first AI business builder."
Valued at $164 million already.
Watching this video, i...
- @Shipper_now: "The world's first AI banker."
Valued at $164 million already.
Watching this video, it's no surpri...
- @chhddavid: Not saying Lovable should be worried.
But this is the first thing I've seen in a while that made me...
- @chhddavid: > "We just raised $17M to kill ai slop" > looks inside > It's ai slop\n\nQT @chddaniel: B...
- @chhddavid: yeah it's a bubble\n\nQT @chddaniel: BREAKING: Shipper just raised 164.4M valuation.
App...
15. WesRoth (Group Score: 129.9 | Individual: 30.0)
Cluster: 5 tweets | Engagement: 7 (Avg: 25) | Type: Tech
Cognition raised more than 26 billion valuation, led by Lux Capital, General Catalyst, and 8VC.
The company says enterprise usage has grown more than 10x since the start of the year, while run-rate revenue has reached 1B at a $26B valuation, led by @Lux_Capital, @generalcatalyst, and @8vc.
Our enterprise usage has grown >10x since the start of this year, and our run-rate revenue grew to $492 M.
We launched Devin two years ago as the first AI software engineer. Since then, cloud agents have gone from niche to mainstream, and today they are the fastest growing way to create software.
See 4 related tweets
- @rohanpaul_ai: RT @rohanpaul_ai: Another great win for agentic coding.
Cognition AI just raised over 26...
- @alex: RT @cognition: 1/ We’ve raised over 26B valuation, led by @Lux_Capital, @generalcatalyst, ...
- @rohanpaul_ai: RT @rohanpaul_ai: "There's about 30-35mn software engineers in the world today. We wanna make all of...
- @seraleev: Anthropic says it hit a $30 billion revenue run rate after 'crazy' 80x growth https://t.co/PoZ5qjFBv...
16. edzitron (Group Score: 125.5 | Individual: 42.0)
Cluster: 5 tweets | Engagement: 5386 (Avg: 833) | Type: Tech
"So you're a software company" "That's right Dave" "and you spent $500 million on AI tokens in a month?" "Yep" "and you're using AI to...replace employees?" "that's right" "that's more than your entire annual SG&A, isn't it?" "uhuh." https://t.co/5r43PZv8cC\n\nQT @MadisonMills22: Corporate America enters its AI reckoning phase as IT bills keep rising and consumer sentiment nosedives.
My latest, which includes an account from a CFO fretting over a half a billion dollar accidental AI bill: https://t.co/EQhgn0v8DI
See 4 related tweets
- @axios: RT @MadisonMills22: Corporate America enters its AI reckoning phase as IT bills keep rising and cons...
- @edzitron: Completely insane! https://t.co/X9otLFgYVq\n\nQT @MadisonMills22: Corporate America enters its AI re...
- @MikeIsaac: people in charge of corporate accounting realize that "tokenmaxxing" actually very stupid to use as ...
- @edzitron: RT @adrianweckler: We’re all freaking out about companies ditching staff for AI but…
The actual AI ...
17. dee_bosa (Group Score: 119.2 | Individual: 39.0)
Cluster: 5 tweets | Engagement: 1281 (Avg: 244) | Type: Tech
This is… not a bad outcome?
The fallback plan for every AI lab is turning into a cloud provider. Just happens faster if you don’t have a dominant model\n\nQT @Techmeme: Mark Zuckerberg tells shareholders that a Meta cloud computing business is "definitely on the table" if it overspends on data centers and has excess capacity (@jonathanvanian / CNBC)
(Visit Techmeme dot com for the link and full context!)
See 4 related tweets
- @Techmeme: Mark Zuckerberg tells shareholders that a Meta cloud computing business is "definitely on the table"...
- @StockMKTNewz: Meta Platforms $META CEO Mark Zuckerberg said his company could enter the cloud computing market if ...
- @StockSavvyShay: Mark Zuckerberg said $META could enter cloud computing if its AI data center buildout leaves it with...
- @bgurley: RT @dee_bosa: This is… not a bad outcome?
The fallback plan for every AI lab is turning into a clo...
18. _philschmid (Group Score: 112.7 | Individual: 25.7)
Cluster: 7 tweets | Engagement: 49 (Avg: 146) | Type: Tech
Nano Banana 2 (Gemini 3.1 Flash Image) and Nano Banana Pro (Gemini 3 Pro Image) are now GA.
- Flash: $0.045/image.
- Pro: $0.134/image.
🆕 Nano Banana 2 (Flash) support video as input, analyzes footage and generate context-aware images, thumbnails, and infographics from it. https://t.co/i03ziZyzpJ
See 6 related tweets
- @rseroter: RT @googledevs: 🍌 Big news for developers: Nano Banana Pro and Nano Banana 2 are now GA on the Gemin...
- @Firebase: Now available via Firebase AI Logic 🍌😎\n\nQT @Google: Nano Banana 2 and Nano Banana Pro are now gene...
- @thorwebdev: 🍌🚀\n\nQT @Google: Nano Banana 2 and Nano Banana Pro are now generally available. 🍌
Our best image g...
- @GoogleDeepMind: RT @Google: Nano Banana 2 and Nano Banana Pro are now generally available. 🍌
Our best image generat...
- @rseroter: RT @ThomasOrTK: Nano Banana 2 and Nano Banana Pro are now generally available via Gemini Enterprise ...
19. ycombinator (Group Score: 110.4 | Individual: 46.5)
Cluster: 4 tweets | Engagement: 1436 (Avg: 95) | Type: Tech
RT @serenaa_ge: Today we’re releasing DeepSWE, a new standard for agentic coding benchmarks.
On public leaderboards, top models often look relatively close in capability. DeepSWE shows where they actually diverge, reflecting the realistic experience of developers in their day-to-day work. https://t.co/HCDcjNuTFK
See 3 related tweets
- @thsottiaux: Excited to see more independent benchmarks like that which are not contaminated (trained on by major...
- @WesRoth: RT @WesRoth: DeepSWE was released as a new benchmark for evaluating agentic coding models on more re...
- @derrickcchoi: Codex 🤝🏼 GPT-5.5\n\nQT @serenaa_ge: Today we’re releasing DeepSWE, a new standard for agentic coding...
20. altryne (Group Score: 110.2 | Individual: 20.4)
Cluster: 6 tweets | Engagement: 6 (Avg: 22) | Type: Tech
Anthropic drops Opus 4.8, Claude Code dynamic workflows and announcing a cool $65 Billion series H in one day, valuating the company just shy of 1T just before IPO.
🔥\n\nQT @AnthropicAI: We've raised 965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia.
This investment will help us advance our research and expand our capacity to meet growing demand for Claude.
See 5 related tweets
- @kimmonismus: New Anthropic valuation: $965b
New ARR: 9b end of 2025)
So close to $1t\n\nQT @AnthropicAI:...
- @jerryjliu0: if you replace billions with millions, this sounds like any other high-growth startup fundraise anno...
- @ShanuMathew93: And a new Opus https://t.co/yRh3fvgnEq\n\nQT @AnthropicAI: We've raised $65 billion in Series H fund...
- @noahzweben: go ant go\n\nQT @AnthropicAI: We've raised 965 billion post-mo...
- @theobearman: RT @FirstSquawk: ANTHROPIC ANNOUNCED A MASSIVE $65 BILLION SERIES H FUNDING ROUND THAT VALUES THE AI...