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热门科技推文 - 2026-04-02
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- Name
- geeknotes
2026年4月2日科技每日简报
Today's top tech conversations are led by @badlogicgames, whose post about 'RT @bcherny: Today we're excit...' garnered the highest engagement. Key themes trending across the top stories include claude, model, https, people, layer. The community is actively discussing recent developments in AI, engineering practices, and startup strategies.
1. badlogicgames (Group Score: 213.1 | Individual: 34.5)
Cluster: 8 tweets | Engagement: 534 (Avg: 130) | Type: Tech
RT @bcherny: Today we're excited to announce NO_FLICKER mode for Claude Code in the terminal
It uses an experimental new renderer that we're excited about. The renderer is early and has tradeoffs, but already we've found that most internal users prefer it over the old renderer. It also supports mouse events (yes, in a terminal).
Try it: CLAUDE_CODE_NO_FLICKER=1 claude
See 7 related tweets
- @trq212: not an April Fools joke, we rewrote the Claude Code renderer to use a virtual viewport
you can use ...
- @WesRoth: Anthropic rolled out an experimental "Fullscreen rendering" mode for its Claude Code command-line in...
- @qtnx_: uses alt screen buffer now, so same as opencode or mistral vibe selection copies automatically, sele...
- @TheAhmadOsman: is Anthropic gonna opensource this or are we going to have to wait until their next leak?\n\nQT @bch...
- @adocomplete: NO_FLICKER mode!\n\nQT @bcherny: Today we're excited to announce NO_FLICKER mode for Claude Code in ...
2. heyshrutimishra (Group Score: 178.9 | Individual: 53.9)
Cluster: 4 tweets | Engagement: 927 (Avg: 177) | Type: Tech
Jack Dorsey just said the quiet part out loud.
"Middle management exists because humans were the only option for information routing. They aren't anymore."
I'm running a small team right now. We just hit the point where I can't keep everything in my head anymore. I know this problem intimately.
A human can manage 3-8 people effectively. That's it. I'm at that edge right now. The moment you cross it, you need another layer. Another person to route information. Another meeting to align. Another delay.
The Roman Army invented hierarchical management 2000 years ago.
8 soldiers → 80 men → 480 → 5,000.
Every company still uses this structure today. I assumed this was just how it works.
Jack Dorsey just published why that's about to end.
The Constraint I'm Living Right Now
We're at the inflection point. Small enough that I can still talk to everyone directly. Big enough that I'm becoming the bottleneck. Every decision waits for me to route context between people.
I've been watching AI tools for 2 years. Claude, ChatGPT, every new model. I thought the answer was copilots. Give everyone AI assistants to work faster within the existing structure.
Block just published something that made me realize I was thinking too small.
What Block Is Actually Building
They're not giving everyone copilots. They're replacing what the hierarchy does with a "world model."
Two parts: Company World Model: How Block understands its own operations. This replaces me. The information I carry in my head, the context I relay between people, the decisions I route. The world model does that.
Customer World Model: Block sees both sides of millions of transactions through Cash App and Square. Money is the most honest signal. People lie on surveys, but transactions are facts. That understanding compounds every second.
Here's what got me: When Block's intelligence layer tries to compose a solution and can't because a capability doesn't exist, that failure becomes the roadmap. Customer reality generates the backlog directly.
No product manager hypothesizing. No guessing what to build next. The system observes what customers actually need.
Block normalizes to three roles:
ICs: Build capabilities, models, interfaces. The world model provides the context I currently provide. They don't wait for me to tell them what to do.
DRIs: Own specific problems for 90 days. Full authority to pull resources from any team. Then rotate to new problems.
Player-Coaches: Still build. Still code. Develop people. But don't spend days in alignment meetings because the world model handles that.
No permanent middle management layer.
Why This Matters to Me
I'm at the exact moment where most companies add a layer. Hire someone to manage the growing team while I focus on strategy. Standard playbook.
But that just delays the problem. When we hit 30 people, we need another layer. Then another at 100. Each layer slows us down.
Block is saying: what if you don't add layers at all? What if the AI becomes the coordination layer?
I don't know if Block's execution will work. This could break spectacularly. But the question is too important to ignore.
Dorsey asks: "What does your company understand that is genuinely hard to understand, and is that understanding getting deeper every day?"
If the answer is nothing, AI is just cost optimization. Cut headcount, improve margins, get absorbed.
If the answer is deep, AI reveals what your company actually is.
The Uncomfortable Truth I'm Sitting With
For 2,000 years, we had no alternative to hierarchy. The question was never whether you needed layers. The question was whether humans were the only option for what those layers do.
They aren't anymore.
I'm watching this closely. Not because I have answers. Because I'm living the exact problem Block is trying to solve. And if they figure it out, it changes everything.
Follow @heyshrutimishra for more on AI reshaping how companies actually work. I'm figuring this out in real time.\n\nQT @jack: https://t.co/jgZkBvYOPt
See 3 related tweets
- @rohanpaul_ai: RT @rohanpaul_ai: 🤯 Jack Dorsey's Block just laid out a plan to replace much of corporate hierarchy ...
- @akoratana: Context graphs will be to the 2030s what databases were to the 2000s.
Within a year, every frontier...
- @rohanpaul_ai: Block's Business lead, Owen Jennings:
The link between company headcount and output broke in early...
3. ns123abc (Group Score: 176.3 | Individual: 34.7)
Cluster: 8 tweets | Engagement: 939 (Avg: 314) | Type: Tech
🚨BREAKING: OpenAI shares have fallen out of favor and investors are trying to sell but finding no buyers
Sam Altman 4 months ago:
“if you want to sell your shares, I'll find you a buyer. Enough! I think there's a lot of people who would love to buy OpenAI shares. We can sell your shares very quickly!”
LMFAOOOO this aged so badly\n\nQT @business: OpenAI shares have fallen out of favor on the secondary market — in some cases becoming almost impossible to unload — as investors pivot quickly to Anthropic, its biggest competitor. https://t.co/hvE41m1qhQ
See 7 related tweets
- @Mayhem4Markets: OpenAI is in trouble.
They may have had a big fund raise, but I suspect it'll be the last until the...
- @BrianRoemmele: Unfortunately the new “AI winter” caused by OpenAI because of grandpa’s Saa$ business models, lack o...
- @SawyerMerritt: NEWS: Demand for OpenAI shares has dropped significantly in the secondary market, in some cases beco...
- @alex: last october https://t.co/4sMAfU5R1r\n\nQT @negligible_cap: *OPENAI DEMAND SINKS ON SECONDARY MARKET...
- @LaurenGoode: RT @business: OpenAI shares have fallen out of favor on the secondary market — in some cases becomin...
4. MSBIntel (Group Score: 169.9 | Individual: 29.2)
Cluster: 8 tweets | Engagement: 20 (Avg: 7) | Type: Tech
BREAKING: OpenAI raises record $122B.
Valuation hits ~$852B, now the most valuable startup in history.
Backed by Amazon, Nvidia, SoftBank, and Microsoft.
Revenue now ~$2B per month.
900M weekly ChatGPT users.
Building toward a unified AI “superapp.”
Compute is the moat.
Scale… unmatched.
See 7 related tweets
- @WesRoth: OpenAI has been expanding its previously announced $110 billion round, finalizing the last tranche t...
- @Forbes: OpenAI raised $122 billion in its latest funding round, the artificial intelligence giant announced ...
- @business: OpenAI has completed a deal to raise 852 billion valuation, marki...
- @business: OpenAI has reached a mega deal to raise 852 billion valuation. Much of the capit...
- @business: OpenAI is practically already public, so you might be better off putting your money in earlier-stage...
5. LiorOnAI (Group Score: 163.7 | Individual: 34.8)
Cluster: 5 tweets | Engagement: 4 (Avg: 188) | Type: Tech
The part worth paying attention to is what ZAI did with training.
They ran RL across 30+ task types simultaneously: GUI navigation, tool invocation, action prediction, visual grounding, all in one optimization pass.
Not fine-tuned onto a base model after the fact. Baked in from pretraining.
They call it "Agentic Meta-capabilities": PRM data from GUI agent trajectories injected early enough that the model learns to predict multi-step action sequences without hallucinating intermediate states.
CogViT, their new vision encoder, hits SOTA on spatial and geometric perception specifically because downstream agent tasks demanded it. The encoder was shaped by the agent objective, not the other way around.
The result is a model that can autonomously browse a target site inside Claude Code, map every page transition, harvest visual assets, and write the reconstruction.
No human decomposing the task into subtasks first.
That full loop from perception through execution has been the bottleneck keeping vision models out of real agent pipelines.
Plugging a generic VLM into an agent harness fails because the model wasn't trained against the failure modes of sequential tool use: compounding errors, state drift, hallucinated actions. https://t.co/e4NkaXqXyY trained directly against those failure modes.
Every lab now has to decide whether to keep building generalist frontier models or start shipping specialist components optimized for a specific slot in someone else's orchestration layer.
https://t.co/e4NkaXqXyY chose the latter, and built their entire training pipeline around the assumption that Claude Code, not a chat window, is the deployment surface.
If this works at scale, the moat stops being "best overall model" and becomes "best model for this agent role."
The stack is fragmenting into perception, planning, and execution layers. The first companies to own a layer cleanly will be very hard to displace.\n\nQT @Zai_org: Introducing GLM-5V-Turbo: Vision Coding Model
- Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts.
- Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents.
- Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw.
Try it now: https://t.co/WCqWT0qCQb API: https://t.co/xDy1O6ZPcz Coding Plan trial applications: https://t.co/qCM6cri0KK
See 4 related tweets
- @kimmonismus: Zai has released GLM-5V-Turbo, a model designed to combine visual understanding with code generation...
- @testingcatalog: Z AI launched GLM-5V-Turbo, a new vision coding model that enables the creation of UI interfaces bas...
- @WesRoth: Zhipu AI unveiled GLM-5V-Turbo, a next-generation foundation model specifically engineered to bridge...
- @Meer_AIIT: 🚨 Zhipu released GLM-5V-Turbo, a vision-language model built specifically for coding from visual inp...
6. pingToven (Group Score: 151.7 | Individual: 35.2)
Cluster: 5 tweets | Engagement: 182 (Avg: 36) | Type: Tech
RT @arcee_ai: Today we're releasing Trinity-Large-Thinking.
Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0.
We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own. https://t.co/jumuYehJdo
See 4 related tweets
- @arimorcos: We have been so privileged to partner with Arcee since the beginning of their model building journey...
- @MatthewBerman: American Open Source 🇺🇸\n\nQT @arcee_ai: Today we're releasing Trinity-Large-Thinking.
Available no...
- @dejavucoder: congrats to arcee mutuals on the launch!\n\nQT @arcee_ai: Today we're releasing Trinity-Large-Thinki...
- @ferologics: no pi????\n\nQT @arcee_ai: Today we're releasing Trinity-Large-Thinking.
Available now on the Arcee...
7. AlexFinn (Group Score: 139.2 | Individual: 22.8)
Cluster: 9 tweets | Engagement: 542 (Avg: 620) | Type: Tech
RT @AlexFinn: Unreal. The entire Claude Code source code just leaked
It reveals EVERY secret Anthropic has in store for Claude
I went through all 600,000 lines of code
Here's EVERYTHING juicy detail you need to know about how Claude Code is built and what is coming next: https://t.co/WAsDKkBeQ1
See 8 related tweets
- @latentspacepod: [AINews] The Claude Code Source Leak
Our mega-compilation of everyone's discoveries from the Claude...
- @MatthewBerman: Wait so Anthropic made Claude Code actually open source? https://t.co/QTdST7rOsd https://t.co/oW6Gjb...
- @Techmeme: Anthropic's Claude Code leak reveals its "Kairos" updates, including letting Claude work in the back...
- @BusinessInsider: Anthropic sent a copyright takedown after a segment of the code for Claude Code was leaked online. A...
- @theinformation: Anthropic’s leaked code reveals plans for a more autonomous Claude — one that remembers past work an...
8. heyshrutimishra (Group Score: 114.3 | Individual: 60.7)
Cluster: 3 tweets | Engagement: 1672 (Avg: 177) | Type: Tech
RT @heyshrutimishra: Anthropic leaked 512,000 lines of Claude Code source code yesterday.
What happened in the next 12 hours is absolutely wild.
4 AM. Anthropic pushes an update to npm. Inside the package: their entire codebase. A 60 MB debugging file accidentally bundled in.
23 minutes later, researcher Chaofan Shou spots it. Downloads the zip.
Posts it on X. Within 6 hours: 3 million views.
By the time Anthropic’s team woke up, the code was forked 41,000+ times across GitHub. Anthropic started firing DMCA takedowns. Too late.
A Korean developer named Sigrid Jin woke up to his phone exploding. He’s Claude Code’s biggest power user.
WSJ reported he burned through 25 billion tokens last year.
He read the leaked code.
Rewrote the entire thing in Python in 8 hours. His repo hit 30,000 stars faster than any GitHub project in history.
Then he rewrote it again in Rust. That version now has 49,000 stars.
Someone mirrored it to a decentralized platform with one message: “will never be taken down.” The code is permanent. Anthropic cannot get it back.
Here’s the part I can’t stop thinking about: Anthropic built something called “Undercover Mode.” Its only job: prevent Claude from accidentally leaking internal secrets.
They shipped an entire anti-leak system in their own product. Then leaked their own source code in a .map file. Irony is beautiful
See 2 related tweets
- @rohanpaul_ai: So yesterday's massive Anthropic source-code leak was a process bug, a “human error”.
Usually means...
@rohanpaul_ai: RT @rohanpaul_ai: The 12-Hour Claude Code Saga:
Today around midday, security researcher Chaofan...
9. chandrarsrikant (Group Score: 104.6 | Individual: 27.7)
Cluster: 5 tweets | Engagement: 194 (Avg: 1563) | Type: Tech
Oracle layoffs: Is India paying the price for its global AI push?
Last month, the company increased its restructuring cost outlay by 2.1 billion from $1.6 billion announced in December 2025.
Ellison had also made it clear that machines are increasingly replacing traditional software work.
“They can generate computer code, a lot of the code that Oracle is writing, Oracle isn't writing… our AI models are writing,” Ellison said at the company's AI event in Las Vegas in 2025.
India accounts for Oracle's second-largest employee base worldwide and its largest research and development investment outside of the United States. It employs over 30,000 people in the country.
The layoffs, which impacted nearly 50 percent of Oracle's India workforce, are part of a broader global restructuring that has seen about 30,000 jobs cut worldwide, according to people aware of the matter. Oracle declined to comment.
See 4 related tweets
- @rohanpaul_ai: 🚨 NEWS: Oracle just began one of its biggest restructurings in years, cutting jobs across the US, In...
- @WesRoth: Oracle is currently executing what analysts believe to be one of the largest workforce reductions in...
- @shiri_shh: Oracle just FIRED 20,000 to 30,000 people roughly 18% of its entire workforce.
To save $8–10 billio...
- @WSJ: Oracle is laying off workers while it continues to build out costly data centers for AI development ...
10. chddaniel (Group Score: 104.2 | Individual: 28.5)
Cluster: 4 tweets | Engagement: 1 (Avg: 24) | Type: Tech
Introducing @shipper_now
Enter an idea and Claude builds you a full business in ~183 sec.
No API keys, no skills or MCP, no constant prompting
Reply if you'd like free credits to give it try (picking winners randomly) https://t.co/RlUGRBojg5
See 3 related tweets
- @chhddavid: this is just terrifying...\n\nQT @shipper_now: Introducing https://t.co/IixOfV3XmN -
Enter an idea ...
- @chhddavid: uhm... this is terrifying.\n\nQT @shipper_now: Introducing https://t.co/IixOfV3XmN -
Enter an idea ...
- @chddaniel: RT @shipper_now: Introducing https://t.co/IixOfV3XmN -
Enter an idea and AI builds you a full compa...
11. elonmusk (Group Score: 103.4 | Individual: 38.9)
Cluster: 3 tweets | Engagement: 97230 (Avg: 32016) | Type: Tech
Custom orders of the Tesla Model S & X have come to an end. All that’s left are some in inventory.
We will have an official ceremony to mark the ending of an era. I love those cars.
This was me at production launch 14 years ago: https://t.co/6kvCf9HTHc
See 2 related tweets
- @niccruzpatane: Elon Musk in 2012 during the first Customer Model S Deliveries:
"What is the Model S really all ab...
- @SawyerMerritt: 🫡\n\nQT @elonmusk: Custom orders of the Tesla Model S & X have come to an end. All that’s left a...
12. CloudflareDev (Group Score: 98.4 | Individual: 49.9)
Cluster: 3 tweets | Engagement: 868 (Avg: 129) | Type: Tech
Introducing EmDash — the spiritual successor to WordPress.
Serverless. TypeScript. Securely sandboxed plugins via Dynamic Workers.
See 2 related tweets
- @lauragift_: I bet you didn't see this coming and no it's no April fool's joke.. Time to migrate your Wordpress s...
- @KentonVarda: RT @MattieTK: It's my first @Cloudflare blog, and it's a big one.
We're rebuilding WordPress as if...
13. gregisenberg (Group Score: 91.0 | Individual: 32.9)
Cluster: 3 tweets | Engagement: 942 (Avg: 1775) | Type: Tech
things keeping me up at night about where AI is actually going:
"ambient businesses" are coming. basically, agents monitor the market, handle customers, execute decisions. you check in every few days. 7-8 figure businesses with almost no daily human input. we're early but it's happening.
you can now build a company in an hour. grab an idea, vibe code it, add stripe, get a customer. the old timeline was 12 months to first revenue. that's just gone.
the internet went app store era → API economy → agent economy. we're now in the part where agents hire other agents on the fly. fixed tech stacks are dissolving. nobody's built the glassdoor for AI agents yet.
vertical AI is replacing headcount. that's 10x the market that vertical SaaS ever touched. boring industries like insurance, construction, legal, elder care are the goldmine.
SaaS pricing is flipping from per seat to per result. someone is going to build a billion dollar business just by converting legacy SaaS companies to outcome based pricing
a whole graveyard of generic SaaS is coming. basic CRMs, analytics dashboards, template marketplaces, scheduling tools. agents just do it better. lots of incumbent saas that are generic and not reinventing themselves right now will struggle/reprice.
"human made" is becoming the new luxury. porsche already ran a 100% human made ad campaign. no AI is going to be a premium label like organic is for food. there's a real business in that certification.
IRL is having a renaissance. when everything is AI generated, being in a room with other humans becomes scarce. karaoke bars, escape rooms, live music, co-working. the experience economy is accelerating.
founder market fit is dead. founder agent fit is what matters now. can you direct a fleet of agents like a film director? that's the new unfair advantage.
ghost team org charts are coming. two real people, twelve agents with names, faces, personalities. your about page is going to look the same
1000 true fans is now 100. agents cut your costs so much that 100 customers at $500/mo is a real solo business. micro monopolies across multiple niches. this is the playbook.
context window poisoning is the new phishing. cybersecurity hasn't caught up. agents have access to your files, email, bank accounts. bad things are going to happen. it's also a massive startup opportunity.
the window is open for maybe 12-24 months. then the moats get built like data, brand, trust, network
build cost is basically zero. audiences are underpriced. niches are wide open.
idk about you but i'm not sleeping much
so much opportunity
this is the most asymmetric time to be building a startup.
full episode on @startupideaspod to get your creative juices flowing (latest episode get it where you listen/watch pods)
no advertisers, just pure ideas to help you
im rooting for you
don't just bookmark share with a friend
watch
See 2 related tweets
- @startupideaspod: this is the most asymmetric time to start building.
the window is 12–24 months.
the build cost is ...
- @every: RT @danshipper: SaaS isn’t dead, it just needs to become agent-native. Linear (@linear) is a great e...
14. ZixuanLi_ (Group Score: 88.8 | Individual: 32.0)
Cluster: 3 tweets | Engagement: 228 (Avg: 309) | Type: Tech
Cloned a single-page layout of @OpenRouter https://t.co/kDKjjbJIpv\n\nQT @Zai_org: Introducing GLM-5V-Turbo: Vision Coding Model
- Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts.
- Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents.
- Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw.
Try it now: https://t.co/WCqWT0qCQb API: https://t.co/xDy1O6ZPcz Coding Plan trial applications: https://t.co/qCM6cri0KK
See 2 related tweets
@ZixuanLi_: RT @Zai_org: Introducing GLM-5V-Turbo: Vision Coding Model
Native Multimodal Coding: Natively und...
@mark_k: Introducing GLM-5V-Turbo by @Zai_org: Vision Coding Model
Native Multimodal Coding: Natively unde...
15. Prince_Canuma (Group Score: 86.6 | Individual: 27.3)
Cluster: 4 tweets | Engagement: 36 (Avg: 64) | Type: Tech
Congratulations to the @hcompany_ai
Holo3 comes with day-0 support on mlx-vlm 🚀
> uv pip install -U mlx-vlm
Local compute use is reality!\n\nQT @hcompany_ai: Holo3 is here 🚀.
Today, we're launching Holo3: our new series of frontier computer-use models. 78.9% on OSWorld-Verified. That puts us ahead of GPT-5.4 and Opus 4.6, at one-tenth of the cost.
Weights on Hugging Face. API is live. Test it now!
#Holo3 #OpenSource #ComputerUse #OSWorld #AI #AgenticAI
See 3 related tweets
- @kimmonismus: Ngl, reaching 78,9% on OS-world and outperforming even GPT-5.4 at 1/10 cost is a big deal https://t....
- @huggingface: RT @hcompany_ai: Holo3 is here 🚀.
Today, we're launching Holo3: our new series of frontier computer...
- @WesRoth: H Company (the Paris-based AI lab) launched the Holo3 model family, aggressively targeting the speci...
16. dhaber (Group Score: 79.0 | Individual: 34.0)
Cluster: 3 tweets | Engagement: 28 (Avg: 31) | Type: Tech
Block recently made the decision to reduce their workforce by ~40% and now has teams of 3 (with a few thousand dollars of token spend) doing the work that once took a dozen people.
Just one example of the fork in the road that every pre-AI software company is facing.
@DavidGeorge83 laid out his decision recently:
- Reaccelerate with +10% revenue growth from net-new AI products, or
- Rebuild for 40%+ gross margins.
Neither path is easy or comfortable.\n\nQT @a16z: Inside Block: How AI Changes Software Development
Block's Owen Jennings sat down with a16z GP David Haber to discuss how AI is changing software businesses, including the end of handwritten code, why Block reduced its workforce by 40%, how small teams are doing more with agents, and more.
00:00 Introduction 09:08 The most meaningful difference in how Block is operating 12:57 AI infrastructure build across the org 17:09 The shape of the business: Square, Cash App, Afterpay 20:00 From static UI to generative UI 23:23 Defensibility in the AI era
@owenbjennings @dhaber @blocks
See 2 related tweets
- @a16z: Block’s Owen Jennings says the correlation between headcount and output just broke.
"Late November,...
- @a16z: Inside Block: How AI Changes Software Development
Block's Owen Jennings sat down with a16z GP David...
17. firecrawl (Group Score: 75.8 | Individual: 41.9)
Cluster: 2 tweets | Engagement: 307 (Avg: 70) | Type: Tech
Hermes Agent can now scrape, search, and interact with the web using Firecrawl @NousResearch
Enable it during setup to give Hermes the complete web toolkit 🔥 https://t.co/QlekQKH4xY
See 1 related tweets
- @NousResearch: 🔥\n\nQT @firecrawl: Hermes Agent can now scrape, search, and interact with the web using Firecrawl @...
18. Prince_Canuma (Group Score: 75.6 | Individual: 49.0)
Cluster: 2 tweets | Engagement: 698 (Avg: 64) | Type: Tech
RT @reach_vb: holy shitt, somebody at OpenAI leaked the entire codex codebase..
See 1 related tweets
- @thsottiaux: Whaaaa. Only realized now and apparently our repo was public since 11 months ago and noone told us?!...
19. SawyerMerritt (Group Score: 75.5 | Individual: 26.1)
Cluster: 3 tweets | Engagement: 1879 (Avg: 2148) | Type: Tech
IT'S HAPPENING!\n\nQT @business: SpaceX has filed confidentially for an initial public offering, bringing billionaire Elon Musk’s rocket, satellite and AI company closer to delivering the biggest-ever listing. Listen to that and the latest stories on Bloomberg News Now. https://t.co/Va23FpJDkx
See 2 related tweets
- @niccruzpatane: SpaceX stock is going to go bananas on the open market.
SpaceX, xAI, and 𝕏 all at once. Incredible...
@cryptopunk7213: 3 big IPO headlines today. spacex IPO-ing while openai shares dump... for anthropic
spaceX has fi...
20. chatgpt21 (Group Score: 73.5 | Individual: 29.9)
Cluster: 3 tweets | Engagement: 135 (Avg: 176) | Type: Tech
🚨 GREG BROCKMAN JUST GAVE US THE AUTOMATED JUNIOR RESEARCHER ROADMAP
OpenAI is officially building an autonomous AI system designed to take over the day-to-day tasks of a research scientist. Here is the exact playbook straight from Brockman:
• The New Hierarchy: The AI will act as the "junior researcher." It will run tasks autonomously, while you act as the "senior researcher" who manages it, reviews the outputs it produces, and guides the overall vision.
• Vision Over Mechanics: "If you have a senior researcher or someone who has a vision, they don't even necessarily need to know the mechanical skills. They will be able to provide feedback, review the plots that the intern is producing, and provide direction in terms of the vision of what to accomplish."
• The Ultimate Objective: "I think of this as a system that we're going to build that will massively accelerate our ability to produce models, to make new research breakthroughs happen, to be able to make these models more useful and usable in the real world... and to do that at increasing speed."
The junior researcher will come in September and Spud will be the base!
See 2 related tweets
- @deredleritt3r: Greg Brockman on the automated AI research intern (to be developed in the next 5 months):
"We shoul...
- @kimmonismus: Greg Brockman about AI Reseracchers: AI will operate like a highly capable junior researcher, autono...