2026-06-03 AI Daily | A Year of Engineering in Two Weeks: Codex Reshapes Developer Toolchains as Agents Ignite a Covert War for Data Sovereignty Link to heading

Today’s Key Trend: AI agents are evolving from code completion to engines for environment construction and workflow execution. The Wasmer team achieved an engineering miracle by using Codex to compress a year’s worth of Edge Runtime engineering into just two weeks. Simultaneously, Fivetran’s founder warns that agents are triggering a battle for data control over enterprise systems of record, while breakthroughs in on-device model availability are restructuring the economics of inference.

📖 In-depth Guide to This Issue’s Watch List Link to heading

The main theme today is clear: everyone is focused on how AI can truly “get its hands dirty” and reshape core processes. Here are the three most important facets to delve into.

First, it is highly recommended to follow the “Nobel moment” and cutting-edge practices in AI for Science. The prediction of AlphaFold winning an award is not unfounded, with over 3 million researchers already benefiting. At the same time, OpenAI’s release of the “AI Co-scientist” and the upgraded GPT-Rosalind are injecting reasoning capabilities into medicinal chemistry and genomics. This signals a paradigm shift in life sciences R&D from “manual trial-and-error” to “AI-driven, cross-scale synthesis.”

Second, agents are triggering a deep-seated strategic game over corporate data and infrastructure. Fivetran founder George Fraser made a sharp point: many companies overestimate the threat of AI but underestimate the battle for data control sparked when agents access systems of record. Meanwhile, conversations with OpenAI’s CFO and the Travelers insurance claims case study show that as AI shifts to a consumer model and directly faces customers, new investment rules and 24/7 operations are rewriting the logic of business valuation.

Finally, an undeniable signal is the acceleration of the “Codex-ification” of the developer toolchain. The Wasmer team used Codex to compress a year of Edge Runtime engineering into two weeks—an engineering efficiency miracle. From OpenClaw’s open-source assistant to various role-based plugins, AI is evolving from “code completion” into the ultimate accelerator for “environment construction and workflow execution.”

🌐 AI Hot Topics on X Link to heading

Topic 1:OpenClaw 2026.6.1 Brings Native Windows Support and Self-Improving Agents Link to heading

• Category: AI · News
• Overview: Trending Time:, Related Posts: 84
• What happened: The open-source project OpenClaw released version 2026.6.1, introducing native Windows support for the first time and integrating self-improving AI agents.
• Why it’s important: Native Windows support removes a major obstacle for cross-platform deployment. The self-improving agents demonstrate a viable path for AI systems to achieve autonomous iteration within practical tools, potentially pushing the developer ecosystem toward a more open and automated future.
• Discussion summary: The discussion focuses on whether the Windows version’s performance can match that of Linux, the safety boundaries for self-improving agents, and whether this capability will further diminish the role of human developers in tool maintenance.

Topic 2:Anthropic Engineers Share Free Claude Code Mastery Talks Link to heading

• Category: AI · News
• Overview: Trending Time: 4 hours ago, Related Posts: 316
• What happened: Anthropic engineers have released a free training lecture series called “Claude Code Mastery.”
• Why it’s important: This move lowers the entry barrier for developers to use advanced AI programming tools through systematic education. It is expected to accelerate the adoption of AI-assisted development and solidify Anthropic’s ecosystem influence.
• Discussion summary: Discussions revolve around the practical value of the lecture content, the business strategy behind making it free, and a comparison of the pros and cons of Claude Code versus competitors like GitHub Copilot. Some developers question if the main goal is to drive traffic to their paid API.

Topic 3:Reve 2.0 Launches as Top AI Image Generator with Layout Control Link to heading

• Category: AI · News
• Overview: Trending Time: 4 hours ago, Related Posts: 983
• What happened: The AI image generation model Reve 2.0 has been officially released, featuring advanced layout control capabilities and gaining significant attention in the image generation field.
• Why it’s important: Precise layout control has always been a weak point for diffusion models in image generation. Reve 2.0 elevates this capability to a new level, which could shift AI creation from random aesthetics to controllable design, lowering the barrier for commercial applications.
• Discussion summary: Users are mainly discussing the real-world usability of its layout control and comparing it with mainstream models like Midjourney, DALL·E 3. Some professional users are interested in whether an API will be available or if it will be open-sourced, while general users are more focused on generation speed and cost.

Topic 4:OpenAI Fixes Codex Glitches and Resets Usage Limits for Developers Link to heading

• Category: AI · News
• Overview: Trending for: 1 day ago, Related posts: 2800
• What happened: OpenAI fixed an API issue with its code generation model, Codex, and reset usage quotas for affected developers.
• Why it matters: This action directly impacts the stability and developer trust in AI-assisted programming toolchains based on Codex. It helps maintain the service reliability of OpenAI in the code generation space and is crucial for the ecosystem of low-latency, high-availability programming assistants.
• Discussion summary: Discussions on X focused on the transparency of the root cause, whether the quota reset benefited all affected users, and speculation about future updates and pricing for Codex. Some developers criticized OpenAI for a lack of timely communication, while others appreciated the quick fix and compensation.

Topic 5: Miso Labs Launches Miso One Open-Source TTS Model with Human-Like Emotion Link to heading

• Category: AI · News
• Overview: Trending for: 8 hours ago, Related posts: 1500
• What happened: Miso Labs released the open-source text-to-speech model Miso One, claiming it can generate speech with human-like emotion.
• Why it matters: The model integrates emotional expression into high-quality open-source TTS, which is expected to lower the barrier for emotional speech synthesis and make it easier for developers to build more natural and expressive human-computer interaction applications.
• Discussion summary: Discussions on X centered on the authenticity of its emotional expression, comparisons with closed-source commercial solutions like ElevenLabs, and the advantages of customizability versus the potential risks of misuse that come with open-sourcing.

Summary of AI Public Opinion on X Today Link to heading

Today’s main narrative clearly outlines that AI tools are at a crossroads, rapidly moving from “usable” to “easy to use and controllable.” The developer community is excited by the increased controllability demonstrated by Reve 2.0’s precise architecture and Miso One’s emotional speech, but they also remain wary of the trend where self-improving agents like OpenClaw could blur security boundaries and diminish human roles. The consensus is that actions like Anthropic releasing free system courses and OpenAI quickly fixing Codex and resetting quotas are widely seen as necessary steps to lower the barrier to innovation and solidify ecosystem trust. However, disagreements are just as sharp. Many discussions focus on whether these open and free strategies are truly about building a public ecosystem or are merely lead generation for their own paid APIs. It also remains inconclusive whether open-source models can truly match the performance of closed-source alternatives. The greater underlying risk behind these debates is that if emotional synthesis and self-improving agents are misused or lack transparent oversight, they will directly impact content security and developer trust. Furthermore, excessively rapid automated iteration could invisibly redraw the fragile boundaries of human-computer collaboration.

💡 Influencer Insights Link to heading

AI Industry Daily: On-Device Model Boom, Deepening Agent Workflows, and Accelerating Codex Ecosystem Link to heading

I. Today’s Core Hotspots Link to heading

1. On-Device LLM Capabilities Leap Forward, Making “Ascetic” Local Use a Reality Link to heading

Multiple bloggers have intensively verified the usability breakthrough of on-device models:

• @zhixianio completed an “ascetic-style practice”: Using the Qwen3.6-35B-A3B-oQ6-fp16-mtp model running via oMLX (Native MTP on, Thinking off, 128K CTX), the response speed in PA (Personal Assistant) and Coding scenarios surpassed remote LLMs, with high intelligence and the ability to go the extra mile. He specifically noted the native multimodal experience was “even better than DSV4 Pro.”
• New on-device hardware platforms are emerging: The AMD Ryzen AI Halo mini PC was released, pre-installed with ROCm and AI development workflows, further lowering the barrier to local deployment.

Insight: On-device models are shifting from “toys” to “production tools.” The usability of 35B-level models on consumer-grade hardware marks a fundamental change in the inference cost structure.

2. Deepening Coding Agent Workflows: The /goal Command Becomes a Core Interaction Paradigm Link to heading

Codex’s /goal mode became a focal point of discussion today, with several bloggers sharing best practices:

The Claude Code ecosystem is evolving in sync:

• @Pluvio9yte recommends an in-depth analysis of the Claude Code Workflow and tests Opus 4.8: Front-end details are optimized, back-end capabilities are significantly improved, the “unnatural language” issue is better, but it feels like it consumes tokens faster.
• @dotey reports that Claude Design + Opus 4.8 achieves extremely high fidelity in replicating Mac App UI.

3. Codex Enterprise Features Released: Sites and Ecosystem Expansion Link to heading

OpenAI Codex Releases Sites Feature (@vista8, @dotey):

• Generate a shareable, interactive website/app with a single sentence.
• Exclusive to the enterprise version, invoked via @ site.
• Commented as “Anthropic only does Design, OpenAI handles both design and generation.”

Explosion of Ecosystem Tools:

• @Pluvio9yte compiles a list of must-have Codex plugins: Chrome, GitHub, Gmail, Vercel, HyperFrames.
• @dotey develops baoyu-image-gen Skill, enabling the Codex CLI to be called within Claude Code/Hermes Agent for image generation.

4. Domestic Agent Platforms: Coze 3.0 Takes a Commanding Lead Link to heading

@Pluvio9yte reveals details about the major Coze 3.0 update:

• Built-in Claude Code and Codex, allowing connection to local Agents (like a local Codex).
• Call Claude/Codex directly from the cloud sandbox.
• Described as “having a commanding lead in the domestic market.”

II. Unique Perspectives & Industry Outlook Link to heading

1. Core Insights into Model Training Link to heading

@vista8 relays key points from an interview with Ethan He, head of video multimodality at xAI:

“Improvements in model quality often don’t come from new algorithms, but from fixing bugs in data and training processes”; “The ceiling for video models is actually language models.”

@vista8 also shares research from Stanford University: On 330M/1B scale models, unfiltered Common Crawl data, after sufficient training, outperforms the filtered version—“Small models are afraid of junk data, but large models are not; a sufficient number of parameters can isolate junk from useful information.”

2. The Cost Paradox of AI Programming Link to heading

@ruanyf quotes data from the founder of OpenClaw: a monthly consumption of 603 billion tokens, equivalent to $1.3 million/month (9 million RMB):

“If used without limits, AI programming is much more expensive than human programmers”; even when switching to domestic open-source models (at 1/30th to 1/50th the price), the annual cost is still 2-3 million RMB.

3. The Philosophy of Skill Encapsulation Link to heading

@lijigang proposes two development paths for LLMs:

• Go downwards: Atomize into specific task-based skills.
• Go upwards: Modularize by encapsulating best practices for scenarios (workflows, node optimization, skills).

And asks: “What is the next form of Skill? Is the browser extension mechanism a possible answer?”

4. A New Paradigm for Human-Computer Collaborative Reading Link to heading

@lijigang proposes the “Shadow Book” reading method:

“In the age of print, you could only read the one book the author wrote; in the age of AI, you can read the countless books the author could have written but didn’t”—whenever you read any assertion, immediately use AI to analyze opposing schools of thought, overlooked premises, intellectual lineage, logical boundaries, etc.

III. Recommended Tools & Resources Link to heading

Coding Agent Tools Link to heading

On-Device Model Tools Link to heading

Skill/Automation Resources Link to heading

Learning Materials Link to heading

IV. Noteworthy Data Points Link to heading

• GitHub Code Commits: Q1 2026 saw a 14x increase compared to the same period last year (@ruanyf)
• Zhipu AI’s Market Cap: Now equals Xiaomi, or about two JDs, “the world’s most valuable open-source software company” (@ruanyf)
• Figma’s Stock Price: Dropped from $115 to $22.5, a decline of 80% (@ruanyf)
• @vista8’s Codex Usage Data: 11 consecutive days of use, with the longest single task lasting 8 hours

This report is compiled from public posts on X between June 2-4, 2026

📚 Appendix: Today’s Watch List Update Source List Link to heading

Time window: Last 3 days; 16 sources covered; 17 updates in total

a16z Podcast (A_full) Link to heading

• AI Agents and the Fight for Customer Data
  • Published: 2026-06-03 00:50 Beijing Time
  • Summary: - Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI.
    • The conversation covers Fivetran’s merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI poses to enterprise software.
    • They discuss open data access, the backlash against AI agents accessing systems of record, and why businesses still need centralized data foundations even as agent-based workflows become more common.
    • Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and operate their products.
    • See all the things a16z is doing with AI here, including articles, projects, and more podcasts.
  • EN Highlights:
    • Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI
    • The conversation covers Fivetran’s merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI…
    • They discuss open data access, the backlash against AI agents accessing systems of record, and why businesses still need centralized data foundations even as ag…
    • Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and opera…

Y Combinator Podcast (B_intro+search) Link to heading

• How to Build an AI-Native Services Company
  • Release Time: 2026-06-04 00:00 Beijing Time
  • Summary: - You might have heard of OpenClaw (formerly known as Clawdbot/Moltbot).
    • The sensational open-source AI assistant that runs on your own device, connects with the messaging apps you already use, and goes beyond chat to actually perform tasks like managing your email, calendar, files, workflows, and more.
    • Now meet the person behind it.
    • YC’s Raphael Schaad sits down with OpenClaw founder Peter Steinberger to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents are poised to reshape the future of software.
  • EN Highlights:
    • Some of the biggest companies of the next decade won’t be software businesses, they’ll be services companies like insurance carriers, law firms, and tax practic…
    • In this episode of Startup School, YC Visiting Partner Charlie Warren walks through the playbook for building AI native services companies, covering how to pick…

All-In Podcast (A_full) Link to heading

• Bill Ackman: Investment Strategy, What the Market is Missing, How AI Breaks Businesses

  • Release Time: 2026-06-03 11:06 Beijing Time
  • Summary: - EY - Agentic AI is introducing new rules for investment.
    • As AI shifts to a consumption-based model, EY connects spending with enterprise value.
    • New York Stock Exchange - Thanks to our partner, the New York Stock Exchange - a modern marketplace and exchange dedicated to building the future.
    • Plaud, our official wearable AI note-taking partner at the All-In Liquidity Summit, captured every insight.
    • Bill Ackman: Investment Strategy, What the Market is Missing, How AI Breaks Businesses.
  • EN Highlights:
    • (0:00) Bill Ackman joins the show
    • (0:30) Evolving investment philosophy: What’s changed over 20 years
    • (4:40) AI: Greatest time to build a business, and a major threat to portfolios
    • (7:50) Predicting market moves, the “rubber band effect”

• OpenAI CFO Sarah Friar on IPO, AI Rivalries, New Device, and Spending $100B+ on Compute

  • Release Time: 2026-06-02 22:31 Beijing Time
  • Summary: - EY - Agentic AI is introducing new rules for investment.
    • As AI shifts to a consumption-based model, EY connects spending with enterprise value.
    • New York Stock Exchange - Thanks to our partner, the New York Stock Exchange - a modern marketplace and exchange dedicated to building the future.
    • Plaud, our official wearable AI note-taking partner at the All-In Liquidity Summit, captured every insight.
    • OpenAI CFO Sarah Friar on IPO, AI Rivalries, New Device, and Spending $100B+ on Compute.
  • EN Highlights:
    • (0:00) OpenAI CFO Sarah Friar joins the show
    • (0:31) How OpenAI thinks about its IPO timeline
    • (3:31) OpenAI, Anthropic, Google: The AI arms race

• (7:43) Navigating the compute crunch and AI bottlenecks, device preview

Stratechery by Ben Thompson (A_full) Link to heading

• The Nvidia AI PC, Project Solara, Microsoft AI

  • Published: 2026-06-03 18:00 Beijing Time
  • Summary: - I don’t usually reveal my interview subjects in advance, but given the topic and the update below, I’ll make an exception this week.
    • However, in this case, I arrived at the following points during the keynote and before the interview, so for that reason (and some logistical ones), I want to lay them out first (before you see my questions), and then follow up with Nadella’s thoughts on them (and many other topics).
    • With that said, here is the update: -> Nvidia has become the world’s most valuable company by dominating the data center AI chip market.
    • Now, the company is extending its capabilities into chips that will serve as the main processors for personal computers, entering a field long dominated by Intel, Advanced Micro Devices, Qualcomm, and Apple.
  • EN Key Points:
    • Listen to this post:
    • Good morning,
    • I don’t normally give away my interview subjects ahead of time, but I’m going to make an exception this week given the subject and the below Update
    • I am writing this in San Francisco where I interviewed Microsoft CEO Satya Nadella after his Build developer conference keynote ; normally I would want to publi…

• The Google Capital Company

  • Published: 2026-06-02 18:00 Beijing Time
  • Summary: - Listen to this post**: **.
    • What does the most beautiful business model of all time look like?
    • First, assume that your supply is free.
    • Second, imagine your customers deliberately competing with each other to raise your prices.
    • Third, imagine your users deciding which of your customers have the right to pay you.
  • EN Key Points:
    • Listen to this post :
    • Log in to listen
    • What does the most beautiful business model of all time look like
    • First, imagine that your supply is free

OpenAI Blog (A_full) Link to heading

• Introducing new capabilities to GPT-Rosalind

  • Published: 2026-06-03 21:15 Beijing Time
  • Summary: - It combines the agent coding and tool-use capabilities of GPT-5.5 with more powerful model intelligence in core drug discovery domains like medicinal chemistry and genomics, while improving performance across broader life science analysis, design, and experimental workflows.
    • Progress in life sciences depends on the synthesis of data and evidence across scales and modalities: molecules, genes, pathways, and living systems.
    • In our evaluations, the updated GPT-Rosalind showed broad performance improvements on research tasks for biology experts, complex medicinal chemistry queries, quantitative biology, and wet-lab troubleshooting.
    • GPT-Rosalind is now available in research preview to eligible organizations worldwide through our trusted access deployment structure.

    • Improving performance on tasks of scientific value. Link to heading

  • EN Key Points:
    • GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow cap…

• How Wasmer used Codex to build a Node.js runtime for the edge

• Release Time: 2026-06-03 20:00 Beijing Time

  • Abstract: - Engineers at Wasmer made a breakthrough this year: they figured out how to run Node.js workloads inside a WebAssembly sandbox, enabling developers to run JavaScript applications, MCPs, and proxies without Docker.
    • Without Codex, this work would have taken a year, but with Codex, it took two weeks.
    • Now, they are the first cloud host to offer full Node.js at the edge layer. -> “We are actually moving away from the IDE itself.
    • We are not touching the code that much, we are just guiding it where we want it to go.”
  • EN Highlights:
    • See how Wasmer used Codex with GPT-5.5 to build a Node.js runtime for the edge, accelerating development 10x to 20x and shipping in weeks instead of months.

• OpenAI public policy agenda

  • Release Time: 2026-06-03 18:00 Beijing Time
  • Abstract: - OpenAI outlines its public policy agenda for artificial intelligence, including safety, youth protection, workforce transition, and global standards to ensure AI benefits society.
    • This article from the OpenAI blog explains how the OpenAI public policy agenda is shaping the broader AI and infrastructure landscape.
    • It also provides practical implications for founders, operators, and investors who follow OpenAI’s public policy agenda.
  • EN Highlights:
    • OpenAI outlines its public policy agenda for AI, including safety, youth protection, workforce transition, and global standards to ensure AI benefits society.

• A blueprint for democratic governance of frontier AI

  • Release Time: 2026-06-03 18:00 Beijing Time
  • Abstract: - Frontier AI governance, proposing a federal framework for safety, resilience, and national security.
    • OpenAI outlines a blueprint for U.S. governance of frontier AI, proposing a federal framework for safety, resilience, and national security.
    • A blueprint for the democratic governance of frontier AI.
  • EN Highlights:
    • OpenAI outlines a blueprint for U.S
    • governance of frontier AI, proposing a federal framework for safety, resilience, and national security.

• Travelers deploys AI-powered claims countrywide with OpenAI

  • Release Time: 2026-06-02 20:00 Beijing Time
  • Abstract: - Travelers built an AI-powered claims assistant using OpenAI to guide customers in filing claims, provide 24/7 support, and scale operations during peak demand periods.
    • Travelers built an AI-powered claims assistant with OpenAI to guide customers in submitting claims, provide 24/7 support, and scale operations during peak demand periods…
    • Travelers deploys AI-supported claims nationwide through OpenAI.
  • EN Highlights:
    • Travelers built an AI-powered Claim Assistant with OpenAI to guide customers through filing claims, provide 24/7 support, and scale operations during peak deman…

• Codex for every role, tool, and workflow

  • Release Time: 2026-06-02 17:00 Beijing Time
  • Abstract: - Discover new Codex plugins, websites, and notes that help analysts, marketers, designers, investors, and other teams accomplish more with AI.

• The OpenAI blog post explains how Codex shapes the broader AI and infrastructure landscape for every role, tool, and workflow.

• It also provides practical implications for founders, operators, and investors following every role, tool, and workflow of Codex.

• EN points:

  • Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI.

• Advancing youth safety and opportunity through global leadership

  • Release Date: 2026-06-02 15:00 Beijing Time
  • Summary: - OpenAI calls for global action on youth AI safety, proposing an international institute to strengthen safeguards, standards, and opportunities for young people.
    • This OpenAI blog post explains how advancing youth safety and opportunity through global leadership shapes the broader AI and infrastructure landscape.
    • Following advancing youth safety and opportunity through global leadership, it also brings practical implications for founders, operators, and investors.
  • EN points:
    • OpenAI calls for global action on youth AI safety, proposing an international institute to strengthen safeguards, standards, and opportunities for young people.

• Codex is becoming a productivity tool for everyone

  • Release Date: 2026-06-02 10:00 Beijing Time
  • Summary: - The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content creation.
    • The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content….
    • Codex is becoming a productivity tool for everyone.
  • EN points:
    • The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and conte…

Two Minute Papers (B_intro+search) Link to heading

• Meet the AI “Co-Scientist” Changing Everything 🤖🧪 #ai

  • Release Date: 2026-06-04 01:00 Beijing Time
  • Summary: - Meet the AI “Co-Scientist” Changing Everything 🤖🧪 #ai.
    • This update provides builders with quick background information on meeting the AI “Co-Scientist” Changing Everything 🤖🧪 #ai and why it’s worth bookmarking.
  • EN points:
    • Meet the AI “Co-Scientist” Changing Everything 🤖🧪 #ai

• Claude Opus 4.8: Lying Machine No More?

  • Release Date: 2026-06-03 21:49 Beijing Time
  • Summary: - ❤️ Check out Lambda here and sign up for their GPU Cloud: .
    • Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi.
    • Claude Opus 4.8: Lying Machine No More?
  • EN points:

• ❤️ Check out Lambda here and sign up for their GPU Cloud:

• Anthropic’s Opus 4.8:

• 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:

• Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Ska…

• A Second Nobel Prize for AlphaFold? 🧬🏆 #alphafold #deepmind #nobelprize #science #ai

  • Published Time: 2026-06-02 15:13 Beijing Time
  • Summary: - Check the pinned comment for the link to the full interview.
    • We’re discussing whether a “second order Nobel” prize is on the horizon for AI-driven science.
    • With over 3 million researchers already using AlphaFold, the real-world impact is already historic.
    • Hear what the experts think about what comes next for scientific discovery!
  • EN Key Points:
    • Check the pinned comment for the link to the full interview
    • We’re discussing whether a “second order Nobel” prize is on the horizon for AI-driven science
    • With over 3 million researchers already using AlphaFold, the real-world impact is already historic
    • Hear what the experts think about what comes next for scientific discovery