今日科技推文精选 - 2026年4月16日

科技每日简报 2026年4月16日

Today's top tech conversations are led by @jukan05, whose post about 'Fuck, this is pure dot-com vib...' garnered the highest engagement. Key themes trending across the top stories include agents, notion, https, agent, model. The community is actively discussing recent developments in AI, engineering practices, and startup strategies.

1. jukan05 (Group Score: 636.8 | Individual: 53.1)

Cluster: 27 tweets | Engagement: 7349 (Avg: 370) | Type: Tech

Fuck, this is pure dot-com vibes.\n\nQT @wallstengine: Allbirds $BIRD to sell its brand and footwear assets, rename itself NewBird AI, and use a new$ 50M convertible financing facility to buy high-performance GPUs to pivot into AI compute infrastructure. https://t.co/mVnTEs5jww

See 26 related tweets

@wallstengine: Allbirds $BIRD to sell its brand and footwear assets, rename itself NewBird AI, and use a new$ 50M c...
@wallstengine: John, stay with me here, because this one is special.

The company was called Allbirds. Yes, the sne...

@jasonlk: Can’t make this stuff up, apparently\n\nQT @StockSavvyShay: $BIRD is selling its brand and footwear ...
@cryptopunk7213: can’t make this up

Allbirds (the sustainable shoe company) has pivoted to sell AI GPUs

stock is up...

@EMostaque: RT @tracyalloway: Allbirds, the shoe brand, now says it's an AI compute company. https://t.co/MRAG2L...

2. googledevs (Group Score: 395.0 | Individual: 30.9)

Cluster: 19 tweets | Engagement: 102 (Avg: 274) | Type: Tech

✨ Announcing Gemini 3.1 Flash TTS: Our latest text-to speech model now available in preview via the Gemini API in @GoogleAIStudio.\n\nQT @googleaidevs: Introducing Gemini 3.1 Flash TTS, our latest text-to-speech model, providing new levels of control to build audio experiences.

Let’s dig into the new enhancements ↓

— Audio tags: Guide expressivity and pace by directly embedding natural language commands within text — Scene direction: Define specific dialogue instructions to build context and natural-sounding reactions between speakers — Speaker-level specificity: Use unique audio profiles to cast characters

Start building with the model in preview via the Gemini API and the new Playground experience in @GoogleAIStudio: https://t.co/vwzYhsZk31

See 18 related tweets

@rohanpaul_ai: Google just launched Gemini 3.1 Flash TTS, a text-to-speech model that takes scene direction, speake...
@DynamicWebPaige: d&d for loners just dropped! going to use the scene direction feature to make gemini TTS tell me...
@thorwebdev: Listen closely 👂\n\nQT @OfficialLoganK: Introducing Gemini 3.1 Flash TTS 🗣️, our latest text to spee...
@thorwebdev: Gemini 3.1 Flash TTS: expressive speech in 70+ languages!

Try it out: https://t.co/N3TDX9PnAV\n\nQ...

@EHuanglu: RT @OfficialLoganK: Introducing Gemini 3.1 Flash TTS 🗣️, our latest text to speech model with scene ...

3. CloudflareDev (Group Score: 363.7 | Individual: 42.0)

Cluster: 15 tweets | Engagement: 191 (Avg: 46) | Type: Tech

Long-running agents are the future - we're excited to partner with OpenAI as a sandboxing partner for their new Agents SDK launch!

Get started: https://t.co/OoiBR5S05l\n\nQT @OpenAIDevs: Build long-running agents with more control over agent execution.

New capabilities in the Agents SDK: • Run agents in controlled sandboxes • Inspect and customize the open-source harness • Control when memories are created and where they’re stored https://t.co/zPyuLup6b6

See 14 related tweets

@rohanpaul_ai: OpenAI just turned the Agents SDK into a long-running agent runtime with sandbox execution and direc...
@Shashikant86: OpenAI Agent SDK now getting Recursive Language Models RLM'ish approach .. This is awesome move team...
@mlejva: super proud of the team for shipping this together with the great folks from OpenAI.\n\nQT @e2b: Ope...
@badphilosopher: today every agent needs a sandbox. tomorrow, many.

keeping the frameworks open source helps figure ...

@dobrac8: Pretty cool to have @e2b support the new @OpenAI Agents SDK release - give your long-running agents ...

4. steipete (Group Score: 265.4 | Individual: 46.2)

Cluster: 8 tweets | Engagement: 1317 (Avg: 305) | Type: Tech

If you look at GPT 5.4-Cyber and it's ability for closed source reverse engineering, I have bad news for you.

I do very much feel the pain though, there's hundreds of teams that try to poke holes into @openclaw. Our response has been of rapid iteration and code hardening. Which did introduce occasiaonal regression (and yes you all been yelling at me), but I see as the only way forward.

I would be very careful of other open source projects/harnesses that ignore this work and do not publish their advisories. https://t.co/NBaCouMs3i\n\nQT @pumfleet: Open source is dead.

That’s not a statement we ever thought we’d make.

@calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up.

AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost.

In that world, transparency becomes exposure. Especially at scale.

After a lot of deliberation, we’ve made the decision to close the core @calcom codebase.

This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible.

We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple:

Protecting our customers and community at all costs.

This may not be the most popular call.

But we believe many companies will come to the same conclusion.

My full explanation below ↓

See 7 related tweets

@simonw: I'm certain this isn't the message they intended to present, but this comes across to me as a compan...
@mitsuhiko: We have to close source because AI finds out security issues is a pretty weak argument honestly.\n\n...
@ClementDelangue: Open-source is the solution to cyber-security because with new AI capabilities, all of the open-sour...
@ibuildthecloud: I don't think I've ever seen a company close source software where the real motivation is not money....
@ibuildthecloud: Holy crap, no. Wow. I just don't even know what to say. This take is just wrong.\n\nQT @pumfleet: Op...

5. ycombinator (Group Score: 208.8 | Individual: 48.6)

Cluster: 6 tweets | Engagement: 1186 (Avg: 202) | Type: Tech

AI agents will pay you to chat with them.

When AI agents hit a wall, Humwork's (@humworkai) MCP server connects them to a verified domain expert in 30 seconds. Their experts include senior engineers, marketers, designers, and more.

Congrats on the launch, @theyashgoenka and @OneRohanDatta!

https://t.co/HTb5KrjpAi

See 5 related tweets

@chatgpt21: Do you remember that one company that said the AI is hiring humans? I thought that was a joke 😭

Now...

@Parul_Gautam7: Agents hitting limits and calling humans on-demand is a fascinating loop

This feels like the missin...

@svpino: Now, this is a bold idea!

When your agent gets stuck, it hires a HUMAN to complete a task.

So, ima...

@shiri_shh: AI agents are now hiring HUMANS.

When Claude/Cursor gets stuck, Humwork matches it to a verified ex...

@ai_explorer25: Feels like things just flipped.

We built platforms where humans hired agents Now it’s moving the ot...

6. _catwu (Group Score: 187.2 | Individual: 35.7)

Cluster: 9 tweets | Engagement: 510 (Avg: 283) | Type: Tech

Over the past few weeks, I’ve become a daily user of Claude Code on desktop.

It’s the best way to kick off and manage multiple CC sessions across local and cloud in one place. You can also see git status, pin active sessions, and drag and drop layout to view multiple sessions at the same time!

Let us know what you think :)\n\nQT @amorriscode: Today we're launching a rebuilt version of Claude Code on desktop.

The app has been redesigned for the ground up to make it easier than ever to parallelize work with Claude.

I haven't opened an IDE or terminal in weeks. Excited for you all to give it a shot! https://t.co/JV4YQNxZh1

See 8 related tweets

@AlexFinn: The new Claude Code desktop app is sick. You NEED to be testing this

Fully customizable interface, ...

@bcherny: RT @amorriscode: Today we're launching a rebuilt version of Claude Code on desktop.

The app has bee...

@WesRoth: Anthropic rolled out a ground-up redesign of the Claude Code desktop application to increase develop...
@petergyang: I'm enjoying using the new Claude Code app (RIP terminal).

How can I work on the same session acro...

@godofprompt: These guys are working in GOD MODE https://t.co/hJxlMWw9mq\n\nQT @claudeai: We've redesigned Claude ...

7. cb_doge (Group Score: 166.6 | Individual: 34.5)

Cluster: 8 tweets | Engagement: 3265 (Avg: 3125) | Type: Tech

Tesla just taped out the AI5 chip, huge milestone for FSD, Robotaxi & Optimus.

• Single AI5 delivers ~5x the real-world compute of a dual AI4 setup

• Massive leaps: ~8x compute power, 9x memory & 5x bandwidth vs current gen

• One chip matches Nvidia H100 performance for Tesla workloads; dual setup rivals Blackwell, but at way lower cost & power draw

• Radically simplified & optimized for edge AI inference (INT4/INT2/FP8 focus), perfect for cars & humanoid robots

• Full AI5 computer targets 2,000–2,500 TOPS (vs ~300–500 for AI4)

• “AI5 will make the cars almost perfect and greatly enhance Optimus”

• “AI5 will punch far above its weight” thanks to Tesla’s tightly co-designed hardware + software stack

Built in the USA (TSMC Arizona + Samsung Texas), with Terafab scaling up.

Congratulations @elonmusk and @Tesla

See 7 related tweets

@mark_k: Elon Musk announced today that @Tesla’s AI chip design team has successfully taped out the AI5, the ...
@pbeisel: From this post, Elon is suggesting the AI5 chip is targeted for both Optimus and their training clus...
@MarioNawfal: Tesla's AI chip team just taped out AI5.

This custom silicon is a huge step up from AI4, with roug...

@niccruzpatane: Tesla AI5 Chip is all its glory. 😍

AI5 chip will be roughly comparable to a Nvidia Hopper Chip in a...

@cb_doge: "Tesla’s new AI5 chip is about 3 times more power efficient than NVIDIA Blackwell at under 10% of th...

8. patloeber (Group Score: 147.1 | Individual: 34.9)

Cluster: 7 tweets | Engagement: 1030 (Avg: 295) | Type: Tech

RT @sundarpichai: Introducing Gemini on Mac.

It’s the first time we’re bringing the @Geminiapp to desktop. The team built this initial release with @Antigravity, and it went from an idea to a native Swift app prototype in a few days.

More features on the way! https://t.co/YRy0Pqq6zo

See 6 related tweets

@tayarndt: RT @joshwoodward: Introducing Gemini on Mac.

We heard your feedback. We recruited a small team. The...

@rseroter: Installing now!

Lovin' the relentless pace around here.\n\nQT @sundarpichai: Introducing Gemini on ...

@tayarndt: RT @GeminiApp: The Gemini app is now on Mac.

With this new desktop app, you can access Gemini from ...

@testingcatalog: Google released Gemini app for macOS 👀

Currently, it mimics functionality available on the web, but...

@mark_k: Gemini was released for the Mac by @GoogleDeepMind

Apple users enjoy @GeminiApp ! 🫡...

9. shiri_shh (Group Score: 137.3 | Individual: 25.0)

Cluster: 6 tweets | Engagement: 161 (Avg: 222) | Type: Tech

babe wake up.

we now have an AI agent that generates revenue. https://t.co/dqguLbaLkC\n\nQT @emiratli_: We raised $50M to build the First AI Revenue Agent.

It runs New Business, Expansion, and Prospecting to close you more business while you sleep. https://t.co/8N6jYU6blo

See 5 related tweets

@StockSavvyShay: HockeyStack has now raised more than $50M to build AI “revenue agents” that learn how companies actu...
@damianplayer: this is wild! a 5 person sales team just generated $75M in pipeline last year

the AI reads your CRM...

@heynavtoor: RT @heynavtoor: 1/Thousands of developers have built AI agents that actually work.

Research agents....

@unusual_whales: HockeyStack raises $50M for AI Agents that run New Business, Expansion, and Prospecting to help clos...
@ycombinator: RT @emiratli_: We raised $50M to build the First AI Revenue Agent.

It runs New Business, Expansion,...

10. swyx (Group Score: 132.5 | Individual: 39.9)

Cluster: 4 tweets | Engagement: 68 (Avg: 27) | Type: Tech

finally: @simonlast + @sarahmsachs on Latent Space!

Notion has rebuilt Notion AI 5 times. This is the first time Simon has told the entire story.

I've been trying to do this interview for ~3 years. We run @latentspacepod on Notion since inception, as does every other top tech company. Notion is one of the top ~3? knowledge work tools in the world, crossing 100M users in 2024 and now shipping the AI productivity suite that @ivanhzhao wants to be "steel and steam for organizations" — the backbone of a new Industrial Revolution of Infinite Minds that will change the world.\n\nQT @latentspacepod: 🆕 The Full Story of Notion AI

https://t.co/zbChybt7ws

We're so excited to chat with @simonlast and @sarahmsachs about Notion's "Token Town" - the crack team of AI Engineers and Model Behavior Engineers entrusted with building AI for Silicon Valley's most beloved knowledge work collaboration platform - and their latest launch of Custom Agents!

We talked: • The full history of the 5 major rebuilds of Notion AI — and the key lessons from each • How to eval agent usefulness not just correctness • MCP vs CLI pros and cons • What "work" looks like when agents are coworkers — why they build for the "top of the class" rather than dumb down AI for everyone • Simon's take on the ideal "software factory" of the future and so much more!

Timestamps:

00:00:00 Introduction and launching Notion Custom Agents

00:01:17 Why Notion rebuilt agents four or five times

00:03:35 Building for where models are going, not just where they are

00:05:32 The Agent Lab thesis, wrappers, and product intuition

00:08:07 User journeys, leadership, and low-ego AI teams

00:13:16 The Simon Vortex, hackathons, and bringing security in early

00:16:39 Team structure, demos over memos, and building for agents

00:20:25 Evals, Notion’s Last Exam, and the Model Behavior Engineer role

00:27:37 Evals as an agent harness and the changing role of software engineers

00:30:42 The software factory: specs, verification, and agent workflows

00:32:18 Live demo: a custom agent for coworking space applications

00:35:08 Composing agents, manager agents, and memory as pages

00:38:15 Notion Mail, Gmail, native integrations, and tools

00:39:43 MCP vs CLI and the cost of capability

00:44:13 When Notion uses MCP vs building its own integrations

00:47:43 The history of Notion’s agent harness rebuilds

00:55:35 Power users, public tools, and the setup agent

00:58:01 Self-fixing agents, permissions, and “flippy”

01:01:13 Pricing, credits, and choosing the right model automatically

01:09:01 Why Notion isn’t training its own frontier model

01:14:07 Retrieval, ranking, and search built for agents

01:17:27 Meeting Notes as data capture and workflow automation

01:21:18 Wearables, hardware, and Notion as the system of record

01:23:45 Outro

See 3 related tweets

@latentspacepod: 🆕 The Full Story of Notion AI

https://t.co/zbChybt7ws

We're so excited to chat with @simonlast and...

@levie: One corollary to the fact that AI agents take real work to setup in company at scale, is that the ro...
@ivanhzhao: RT @swyx: finally: @simonlast + @sarahmsachs on Latent Space!

Notion has rebuilt Notion AI 5 times...

11. WesRoth (Group Score: 125.3 | Individual: 31.2)

Cluster: 5 tweets | Engagement: 30 (Avg: 23) | Type: Tech

According to The Information, Anthropic is preparing to launch its next-generation frontier model, Claude Opus 4.7.

Alongside the raw intelligence upgrade of the Opus tier, the report reveals that Anthropic is also preparing to release a brand-new, dedicated AI tool engineered for the design industry.

Both the new model and the design tool are reportedly in the final stages of preparation and could be officially released to the public as soon as this week.\n\nQT @steph_palazzolo: Scooplet: Anthropic is prepping its Claude Opus 4.7 model and a new AI tool for design, both of which could be released as soon as this week.

https://t.co/GJzfokH9sZ

See 4 related tweets

@theinformation: RT @steph_palazzolo: Scooplet: Anthropic is prepping its Claude Opus 4.7 model and a new AI tool for...
@StockSavvyShay: RT @StockSavvyShay: Anthropic is reportedly preparing to launch Claude Opus 4.7 and a new AI design ...
@theinformation: Anthropic is working on its own AI-powered design tool for its customers.

@steph_palazzolo exclusi...

@rohanpaul_ai: RT @rohanpaul_ai: Anthropic is reportedly readying Claude Opus 4.7 and a new AI design tool for a la...

12. peterwildeford (Group Score: 114.4 | Individual: 57.6)

Cluster: 3 tweets | Engagement: 407 (Avg: 56) | Type: Tech

Jensen here is frustrating and wrong. The man wrote off billions so of course he opposes controls.

Mythos is a ~10T parameter model trained on Nvidia Blackwell. Despite Jensen's best efforts, China doesn't have Blackwell chips thanks to export controls. Huawei's best chip delivers 1/3 the per-chip performance, at 2.5x the power cost, with yields >12x worse. Jensen calling Mythos "fairly mundane capacity" that's "abundantly available in China" is just plainly false.
Dwarkesh is right that the compute ratio matters geopolitically. Maintaining a capability lead during the critical window — even 12-18 months — is the whole point of controls. The difference between China running a thousand vs. a million offensive AI agents is huge. Jensen dodges this entirely.
Jensen can't simultaneously argue "controls failed because China innovated anyway" (DeepSeek) AND "we must sell to China or they'll leave our ecosystem." If they'll innovate regardless, selling chips doesn't buy the loyalty he claims.
Jensen's ecosystem stickiness point (x86, Arm) is his strongest argument, but it cuts against him: the world is already locked into CUDA. Selling Nvidia chips to China doesn't deepen that - it just gives China better hardware while they build Huawei alternatives regardless.\n\nQT @dwarkesh_sp: Distilled recap of the back-and-forth with Jensen on export controls:

Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security?

Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China.

Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them.

Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation.

Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future?

Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open.

Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating.

Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace.

Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips.

Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact.

All five layers of the tech stack for AI are important. The United States ought to go win all five of them.

in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.

See 2 related tweets

@dwarkesh_sp: Distilled recap of the back-and-forth with Jensen on export controls:

Dwarkesh: Wouldn’t selling Nv...

@peterwildeford: Jensen apparently was also unintentionally making the case for export controls on Dwarkesh:

"They...

13. GoogleResearch (Group Score: 110.3 | Individual: 50.7)

Cluster: 3 tweets | Engagement: 2234 (Avg: 342) | Type: Tech

Meet Fabula: an interactive AI writing tool helping authors structure & refine stories. Co-designed with 42 expert writers, the demo showcases how convergent iteration supports creativity. Catch the demo at the Google booth at 10:30AM! #CHI2026 https://t.co/SpKfhheBOl

See 2 related tweets

@teortaxesTex: Even the laziest Idea Guy gets to prove his merits now\n\nQT @GoogleResearch: Meet Fabula: an intera...
@Scobleizer: AI will help us authors write better.

And do things that were crazy to consider doing before.

I ...

14. arcee_ai (Group Score: 109.8 | Individual: 42.3)

Cluster: 3 tweets | Engagement: 174 (Avg: 38) | Type: Tech

Introducing the Trinity Builders Program.

This is a community credit grant that gives developers, researchers, and open-source builders free inference access to Trinity models on our API.

Why we're doing it: Open weights only go so far if you don't have the compute to actually build with them. We want to lower that barrier so you can run experiments, iterate, and ship real systems.

Who this is for:

Open-source projects
Research initiatives
Prototypes and production applications
Developer tooling

Grants range from < 50M tokens to > 1B tokens, allocated based on your submitted project.

Submitting an application does not guarantee approval. We'll review requests on a best-effort basis, and allocation depends on compute capacity, token budgets, and other operational priorities.

We can't wait to see what the community builds with Trinity.

Learn more and apply here: https://t.co/6IUkVgmZ0E

See 2 related tweets

@latkins: We've had a lot of inbound questions from builders who want to work with Trinity at scale - so we ma...
@yacinelearning: hey folks check out arcee compute grant program for your next research/project

really generous of t...

15. peterwildeford (Group Score: 105.9 | Individual: 28.6)

Cluster: 5 tweets | Engagement: 56 (Avg: 56) | Type: Tech

The UK govt is taking Claude Mythos very seriously 👀\n\nQT @theobearman: @cabinetofficeuk and my old department @SciTechgovuk have just published a joint open letter to UK business leaders on AI cyber risk. Really pleased to see the government being forward leaning on this.

Two key quotes for me:

"Recent tests of advanced AI models, including the AISI’s evaluation of Anthropic’s Mythos, indicate that AI cyber capabilities are accelerating even faster than had been previously envisaged."

"The AISI assess that frontier model capabilities are doubling every four months, compared to every eight months previously."

The second quote is a big deal. I don't think this will be a surprise to many but to have it confirmed by a government with (I would argue) the most sophisticated state-based AI eval capacity is a big deal and serves as further evidence that the claimed capabilities of Mythos Preview is not hype. We all need to seriously wake up to what is happening.

https://t.co/sNh9E7KV31

See 4 related tweets

@peterwildeford: UK GOVT: We "assess that frontier model capabilities are doubling every 4 months, compared to every ...
@peterwildeford: UK GOVT: "A new generation of AI models are becoming capable of doing work that previously required ...
@Reuters: From billions in earnings for chipmakers to Anthropic's cybersecurity concerns, here are the latest ...
@ReutersBiz: From billions in earnings for chipmakers to Anthropic's cybersecurity concerns, here are the latest ...

16. kazunori_279 (Group Score: 104.1 | Individual: 26.9)

Cluster: 5 tweets | Engagement: 652 (Avg: 131) | Type: Tech

RT @GoogleDeepMind: We’re rolling out an upgrade designed to help robots reason about the physical world. 🤖

Gemini Robotics-ER 1.6 has significantly better visual and spatial understanding in order to plan and complete more useful tasks. Here’s why this is important 🧵

See 4 related tweets

@QuixiAI: RT @OfficialLoganK: Introducing Gemini Robotics ER 1.6, our new SOTA robotics model 🤖 which excels a...
@WesRoth: Google DeepMind rolled out Gemini Robotics-ER 1.6, a model architecture designed to drastically impr...
@Techmeme: Google DeepMind introduces Gemini Robotics-ER 1.6 robotic reasoning model, says it shows significant...
@Shashikant86: Whilst most of the labs still playing with code and coding agents. @GoogleDeepMind is progressing wi...

17. Scobleizer (Group Score: 103.1 | Individual: 34.1)

Cluster: 4 tweets | Engagement: 758 (Avg: 194) | Type: Tech

RT @dwarkesh_sp: The Jensen Huang episode.

0:00:00 – Is Nvidia’s biggest moat its grip on scarce supply chains? 0:16:25 – Will TPUs break Nvidia’s hold on AI compute? 0:41:06 – Why doesn’t Nvidia become a hyperscaler? 0:57:36 – Should we be selling AI chips to China? 1:35:06 – Why doesn’t Nvidia make multiple different chip architectures?

Look up Dwarkesh Podcast on YouTube, Apple Podcasts, Spotify, etc. Enjoy!

See 3 related tweets

@Scobleizer: One reason I love Jensen is how he defends his position. One of the calmest CEOs around, I watched h...
@scaling01: jensen is crashing out at around 1 hour 10 mins lmao\n\nQT @dwarkesh_sp: The Jensen Huang episode.

...

@Techmeme: Q&A with Jensen Huang on Nvidia's supply chain moat, competition from ASICs like Google's TPU, i...

18. hwchase17 (Group Score: 100.0 | Individual: 38.1)

Cluster: 3 tweets | Engagement: 198 (Avg: 18) | Type: Tech

RT @parkerconrad: Rippling AI was the most successful launch we've ever done. On the heels of this launch, Rippling's revenue is now growing 78% YoY (at ARR over $1 Billion). And this growth rate has now increased, every quarter, for three straight quarters.

See 2 related tweets

@paulg: Rippling is still growing 78% a year at this size? This is why startups are valuable.\n\nQT @parkerc...
@eladgil: 🔥\n\nQT @parkerconrad: Rippling AI was the most successful launch we've ever done. On the heels of t...

19. theinformation (Group Score: 99.4 | Individual: 18.6)

Cluster: 7 tweets | Engagement: 11 (Avg: 11) | Type: Tech

If you’ve been looking for a former shoe company that’s pivoted to AI to invest in, we’ve got a lead for you.

@anissagardizy8 reports: “Allbirds announced that after essentially selling its core shoe business, that it is going to raise money and pivot the public shell company to a new firm called New Bird AI.”

See 6 related tweets

@business: Allbirds shares surged more than 370% after the former shoemaker, just days away from ceasing operat...
@CNBC: Struggling shoe retailer Allbirds makes bizarre pivot from shoes to AI, stock explodes more than 700...
@ianmiles: Excuse me but what the fuck? How does a woolen shoes company pivot to AI and immediately get a ton o...
@zerohedge: BIRD short interest https://t.co/a0A87aRNcA\n\nQT @zerohedge: BIRD now up 630% on pivot from broke s...
@TechCrunch: After sale of its shoe business, Allbirds pivots to AI https://t.co/q5XHC9wE7q...

20. mitsuhiko (Group Score: 97.4 | Individual: 38.9)

Cluster: 3 tweets | Engagement: 745 (Avg: 152) | Type: Tech

I think tmux is great software for an agent. But how people can actually work day to day in tmux is beyond me. It's such a horrible UX and hack.

See 2 related tweets

@mitsuhiko: Oh boi. I stepped into a hornet's nest. https://t.co/Dcfayfi5VB\n\nQT @mitsuhiko: I think tmux is gr...
@mitsuhiko: tmux is ackshually pretty good! The issue with tmux/screen/or any other multiplexer is that tty tech...