Latent.Space(@latentspacepod)

🔬 The Lab of the Future Should Feel Like a Data Center with Andy Beam & Rafa Gómez-Bombarelli, Lil...

Latent.Space (@latentspacepod) — Thu, 16 Jul 2026 20:32:24 GMT

🔬 The Lab of the Future Should Feel Like a Data Center  with Andy Beam & Rafa Gómez-Bombarelli, Lila Scienceslatent.space/p/the-lab-of-t…A

@LilaSciences CTO @AndrewLBeam and CSO Rafa Gómez-Bombarelli explain why science is the last untapped source of internet-scale training data, how AI Science Factories turn wet labs into 24/7 token generators, what’s inside 10 trillion experimentally validated reasoning tokens, why breadth across biology, chemistry, and materials can produce better general reasoners, and what it will take to move from superhuman test-taking to genuinely creative scientific discovery.

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9M now https://t.co/4geDlFbdYC

Latent.Space (@latentspacepod) — Wed, 15 Jul 2026 16:12:58 GMT

9M now x.com/petergostev/st…

Peter Gostev@petergostev

Ok my previous chart wasn't quite right, this is the right trajectory

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For those in SF - we're hosting the epic return of our Personal AI meetup this week, hosted by @swyx...

Latent.Space (@latentspacepod) — Wed, 15 Jul 2026 04:04:18 GMT

For those in SF - we're hosting the epic return of our Personal AI meetup this week, hosted by @swyx and @shloked:

luma.com/personai

come if you are building in Personal AI - people with demos prioritized! max 50 spots only, this is not one of those slopfests.

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8M now https://t.co/HsAYnpxxj5

Latent.Space (@latentspacepod) — Wed, 15 Jul 2026 03:33:35 GMT

8M now
x.com/thsottiaux/sta…

Tibo@thsottiaux

Hello. We have reached 8M active users across Codex and ChatGPT Work.

We are once again resetting the usage limits for all. And we continue to not have the 5h rate limit as well, allowing everyone to explore the boundaries of GPT-5.6 Sol and discover how ambitious you can be.

See you tomorrow for more updates on our growth!

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🆕 5 Trends That Defined AI Engineering at World’s Fair 2026 https://t.co/qcB7lHSBI1 @ricmac's big...

Latent.Space (@latentspacepod) — Tue, 14 Jul 2026 23:22:58 GMT

🆕 5 Trends That Defined AI Engineering at World’s Fair 2026
latent.space/p/aiewf26trends1

@ricmac's big recap of @aidotengineer:

1. The focus shifts from agents to systems
2. Loop engineering is the new control layer
3. Al engineering enters the enterprise
4. Coding agents replace IDEs
5. Every agent platform is building around skills

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Did... Codex just overtake Claude Code? 24.5 hours ago Tibo announced 6M active users. this means ...

Latent.Space (@latentspacepod) — Tue, 14 Jul 2026 01:25:40 GMT

Did... Codex just overtake Claude Code?

24.5 hours ago Tibo announced 6M active users.

this means Codex usage jumped 1M in ~ONE DAY.

the last user number we heard from Claude Code was 2M in Feb: latent.space/p/ainews-codex…

more analysis within, but this is very big if true.

Tibo@thsottiaux

Thank you to the 7M active users who are now using Codex and ChatGPT Work.

We have added a banked reset to everyone's account to celebrate the milestone. You can apply the reset in the desktop app or on web and it will replenish the weekly usage for you.

Have fun out there.

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Youtube: https://t.co/hGVabn38zM

Latent.Space (@latentspacepod) — Mon, 13 Jul 2026 18:22:01 GMT

Youtube: youtube.com/watch?v=jhpmMT…

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In this episode, @EngramLab co-founder and CEO @dan_biderman joins @allenpark to cook Mediterranean ...

Latent.Space (@latentspacepod) — Mon, 13 Jul 2026 18:22:00 GMT

In this episode, @EngramLab co-founder and CEO @dan_biderman joins @allenpark to cook Mediterranean meatballs with yellow rice and talk about building AI that actually learns from you: why long context, RAG, and compaction eventually break down, how Engram compresses knowledge into cartridges and model weights, what continual learning could unlock for long-horizon agents, why token efficiency is inseparable from intelligence, how personal models could improve like Tamagotchis, and what it takes to build the research and infrastructure for millions of continuously updated AI memories.

Timestamps:
00 Intro
26 Engram’s $98M Launch and Meatballs
45 From Naval Special Operations to AI Research
32 Israeli Military Culture and Founder Maturity
12 Why Engram Is Betting on Context and Continual Learning
14 Knowledge Cartridges, Compression, and Model Intuition
10 Trillion-Token Company Knowledge and Context Rot
05 Long-Context Limits, Compaction, and Neural Memory
20 Test-Time Training and “Destroying Prefill”
31 Harvey and Holistic Enterprise Queries Beyond RAG
02 Personal AI Models and Tamagotchi Weights
00 What Belongs in Weights vs. Text
25 Autonomous Memory and User-Specific Feedback Loops
20 Token Efficiency, Model Routing, and Harder Tasks
03 Engram’s Research Team and Product Culture
02 Hiring Researchers and Infrastructure Engineers
25 Doing More With Less
41 Where to Find Engram
19 Final Taste Test

Your browser does not support the video tag.

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@modal @akshat_b thanks for the love!! https://t.co/nYJN5ykbyw

Latent.Space (@latentspacepod) — Mon, 13 Jul 2026 16:28:18 GMT

@modal@akshat_b thanks for the love!! x.com/mstockton/stat…

Matt Stockton@mstockton

The recent @latentspacepod talking about Modal w/ @akshat_b is fantastic. Modal is an amazing technology to use. It just works and it is extremely well designed. They 100% get dev ergonomics correct.

I use it for a lot of different things, and honestly use it for things that go 'against the grain' of their core positioning / offering. Turns out that works well too :)

Wrote a bit about how I am using their services here:
mattstockton.com/2026/07/12/how…

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Modal's Agent-Native Cloud: DX→AX, sandboxes, elastic inference, and 100,000 rollouts https://t.co/M...

Latent.Space (@latentspacepod) — Thu, 09 Jul 2026 00:00:01 GMT

Modal's Agent-Native Cloud: DX→AX, sandboxes, elastic inference, and 100,000 rollouts latent.space/p/modal2026@modal CTO @akshat_b explains why developer experience is becoming agent experience, why agents need infra they can operate instead of YAML they have to reason through, how sandboxes turn the agent loop into something real, why elastic inference and GPU snapshotting matter for production AI, how RL rollouts can require 100,000 sandboxes, and why Modal’s $355M Series C marks a new phase for AI-native cloud infrastructure.

Your browser does not support the video tag.

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tldr of thariq's AIEWF keynote https://t.co/YagrwF1a71 (more in today's ainews issue)

Latent.Space (@latentspacepod) — Tue, 07 Jul 2026 04:45:56 GMT

tldr of thariq's AIEWF keynote

latent.space/p/ainews-the-f…

(more in today's ainews issue)

Thariq@trq212

my keynote at AI Engineer World Fair: “A Field Guide to Fable” is live on YouTube!

youtu.be/9fubhllmsBU?is…

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The AI Engineer World’s Fair ended with a debate about loops, a report on the state of AI engineerin...

Latent.Space (@latentspacepod) — Fri, 03 Jul 2026 05:13:53 GMT

The AI Engineer World’s Fair ended with a debate about loops, a report on the state of AI engineering, and closing keynotes focused on what to build next.

Also, locomotives! (hat-tip @GeoffreyHuntley) 

latent.space/p/aiewf-daily-…

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In this interview at @aiDotEngineer World's Fair, @vercel chief of software @andrewqu explains why a...

Latent.Space (@latentspacepod) — Fri, 03 Jul 2026 00:41:02 GMT

In this interview at @aiDotEngineer World's Fair, @vercel chief of software @andrewqu explains why agents represent a new form of software, what Vercel learned from building its own, and why Vercel itself is turning into an agent! latent.space/p/vercel-agent…

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Adobe is experimenting with “agentic sites” that generate pages around an individual user’s intent. ...

Latent.Space (@latentspacepod) — Thu, 02 Jul 2026 21:26:36 GMT

Adobe is experimenting with “agentic sites” that generate pages around an individual user’s intent. At @aiDotEngineer World's Fair, we talked to Carlos Sanchez about the Web's future. latent.space/p/the-website-…

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Paul Bakaus (@pbakaus) from @impeccable_ai talks to us about skill engineering, human judgment in a ...

Latent.Space (@latentspacepod) — Thu, 02 Jul 2026 14:37:58 GMT

Paul Bakaus (@pbakaus) from @impeccable_ai talks to us about skill engineering, human judgment in a 'loopmaxxing' era, and why agents still need people to steer them. latent.space/p/skill-engine…

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If you're into loopmaxxing, there were plenty of pro and con arguments about it at the @aiDotEnginee...

Latent.Space (@latentspacepod) — Thu, 02 Jul 2026 13:50:39 GMT

If you're into loopmaxxing, there were plenty of pro and con arguments about it at the @aiDotEngineer World's Fair yesterday. Here's my roundup of the talking points, including comments from @pbakaus & @addyosmani, as we head into day 4 of the conference. https://t.co/t7uVVcVEqr

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Today at the AI Engineer World's Fair in San Francisco: the 'software factory' vision met resistance...

Latent.Space (@latentspacepod) — Thu, 02 Jul 2026 06:17:06 GMT

Today at the AI Engineer World's Fair in San Francisco: the 'software factory' vision met resistance from speakers defending human understanding and control. latent.space/p/aiewf-daily-…

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Your humble Latent Space contributor in the front row, to the right in this pic. What a crowd today!

Latent.Space (@latentspacepod) — Thu, 02 Jul 2026 04:44:15 GMT

Your humble Latent Space contributor in the front row, to the right in this pic. What a crowd today!

Thariq@trq212

hello from AI engineer!

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In our latest interview from AIEWF, @IntrospectionAI co-founder @rolandgvc explains autoresearch, ag...

Latent.Space (@latentspacepod) — Wed, 01 Jul 2026 23:54:33 GMT

In our latest interview from AIEWF, @IntrospectionAI co-founder @rolandgvc explains autoresearch, agent “recipes,” self-improving loops, and why humans remain central to the software factory. latent.space/p/autoresearch…

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More loops in this morning’s AIEWF keynotes. Anthropic and Sonar getting in on the buzzword bingo.

Latent.Space (@latentspacepod) — Wed, 01 Jul 2026 20:08:51 GMT

More loops in this morning’s AIEWF keynotes. Anthropic and Sonar getting in on the buzzword bingo.

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Cursor's Pauline Brunet explains how her team of Forward Deployed Engineers help organizations imple...

Latent.Space (@latentspacepod) — Wed, 01 Jul 2026 19:05:08 GMT

Cursor's Pauline Brunet explains how her team of Forward Deployed Engineers help organizations implement agents — essentially setting up software factories. latent.space/p/cursor-forwa…

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I'm preparing for another mind-expanding day 🤯 at the AI Engineer World's Fair. While we wait for d...

Latent.Space (@latentspacepod) — Wed, 01 Jul 2026 14:42:55 GMT

I'm preparing for another mind-expanding day 🤯 at the AI Engineer World's Fair. While we wait for day 3 keynotes, here's my roundup of all the action yesterday — including loops, software factories, forward deployed engineers, open source AI. (@ricmac)latent.space/p/aiewf-daily-…I

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Warp's founder @zachlloydtweets thinks every major software project will soon run on an automated "f...

Latent.Space (@latentspacepod) — Wed, 01 Jul 2026 14:30:59 GMT

Warp's founder @zachlloydtweets thinks every major software project will soon run on an automated "factory." I caught up with Lloyd on the expo floor of the @aiDotEngineer World's Fair, to discuss why & how engineers should prepare for this shift. https://t.co/1cfqSsxR1E

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My report from day 2 of the @aiDotEngineer World's Fair. There was lots of talk about loops, agent e...

Latent.Space (@latentspacepod) — Wed, 01 Jul 2026 04:49:42 GMT

My report from day 2 of the @aiDotEngineer World's Fair. There was lots of talk about loops, agent engineering, and the emergence of software factories. Also a hot topic: open source AI. (by @ricmac) latent.space/p/aiewf-daily-…

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Sierra's Natalie Meurer on why product engineers and forward deployed engineers are starting to conv...

Latent.Space (@latentspacepod) — Wed, 01 Jul 2026 00:22:52 GMT

Sierra's Natalie Meurer on why product engineers and forward deployed engineers are starting to converge. latent.space/p/forward-depl…

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After two packed AIEWF workshops, @TheAhmadOsman makes the case that local AI is catching up fast — ...

Latent.Space (@latentspacepod) — Tue, 30 Jun 2026 23:42:23 GMT

After two packed AIEWF workshops, @TheAhmadOsman makes the case that local AI is catching up fast — from laptops and phones to enterprise-grade infrastructure. latent.space/p/ahmad-osman-…

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Word of the day so far at AIEWF is Loop. @swyx talked about “loopcraft” in his opening address, and ...

Latent.Space (@latentspacepod) — Tue, 30 Jun 2026 17:05:01 GMT

Word of the day so far at AIEWF is Loop. @swyx talked about “loopcraft” in his opening address, and the word was used constantly by the following speakers from Microsoft and OpenAI, and then “the clawfather” Peter Steinberger.

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Nearly time for the @aiDotEngineer World’s Fair keynotes. Cavernous was the word that came to mind w...

Latent.Space (@latentspacepod) — Tue, 30 Jun 2026 15:36:50 GMT

Nearly time for the @aiDotEngineer World’s Fair keynotes. Cavernous was the word that came to mind when I walked into the keynote hall. It’s massive and the AIE signage is impressive. You can follow the keynotes online on YouTube: youtube.com/live/htM02KMNZ…

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In 2023 I attended the very first AI Engineer Summit in San Francisco, with 500 attendees. I took th...

Latent.Space (@latentspacepod) — Tue, 30 Jun 2026 04:05:36 GMT

In 2023 I attended the very first AI Engineer Summit in San Francisco, with 500 attendees. I took this pic of @swyx back then. This week I'm at the AI Engineer World's Fair in SF, with 7,000 attendees! 🚀🚀🚀 I'll be blogging it all latent.space2kE (@ricmac)

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The @aiDotEngineer World’s Fair kicks off today in San Francisco. A lot of AI-pilled humans and huma...

Latent.Space (@latentspacepod) — Tue, 30 Jun 2026 01:08:56 GMT

The @aiDotEngineer World’s Fair kicks off today in San Francisco. A lot of AI-pilled humans and human-controlled robots in action already! (btw this is @ricmac & I’ll be tweeting and blogging from AIEWF on Latent Space over the next several days, on behalf of @swyx)

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How close is AGI? @OpenAI Chief Research Officer @markchen90 discusses what the future of model cap...

Latent.Space (@latentspacepod) — Fri, 26 Jun 2026 23:00:01 GMT

How close is AGI?

@OpenAI Chief Research Officer @markchen90 discusses what the future of model capabilities looks like: "We're getting closer and closer to a world where the models can come up with more of the innovation on their own."

Your browser does not support the video tag.

Latent.Space@latentspacepod

In this episode, @OpenAI Chief Research Officer @markchen90 joins @allenpark to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it means to develop research taste, why evals are in crisis, how to avoid benchmark-maxing, and what it will take for models to handle long-horizon real-world work, multimodal reasoning, and eventually end-to-end AI research.

Timestamps:
00 Intro
28 The Soup Story
52 From Trading to AI Research
21 How to Develop Research Taste
23 RL, Evals, and Superhuman Benchmarks
17 Cooking Begins on the Impulse Stove
53 Scaling Laws, Pre-Training, and Reasoning
33 OpenAI’s Research Roadmap and Compute Allocation
48 What Makes a Great Researcher
33 The Evals Crisis and Benchmark-Maxing
34 Jagged Intelligence, Context, and Long-Horizon Learning
14 Shrimp Flambé and New Research Bets
32 Multimodal Models and One Architecture
36 Vibe Researching and End-to-End AI Research
36 Failed Bets, Postmortems, and OpenAI’s Alpha
07 Final Taste Test
53 Overrated vs. Underrated AI Research
00 Closing

Your browser does not support the video tag.

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Is pre-training dead? @OpenAI Chief Research Officer @markchen90 doesn't think so: "We've always fo...

Latent.Space (@latentspacepod) — Fri, 26 Jun 2026 19:00:35 GMT

Is pre-training dead?

@OpenAI Chief Research Officer @markchen90 doesn't think so: "We've always found some kind of technique whether it be better engineering or some new research insight that helps you break past the boundary."

Your browser does not support the video tag.

Latent.Space@latentspacepod

In this episode, @OpenAI Chief Research Officer @markchen90 joins @allenpark to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it means to develop research taste, why evals are in crisis, how to avoid benchmark-maxing, and what it will take for models to handle long-horizon real-world work, multimodal reasoning, and eventually end-to-end AI research.

Timestamps:
00 Intro
28 The Soup Story
52 From Trading to AI Research
21 How to Develop Research Taste
23 RL, Evals, and Superhuman Benchmarks
17 Cooking Begins on the Impulse Stove
53 Scaling Laws, Pre-Training, and Reasoning
33 OpenAI’s Research Roadmap and Compute Allocation
48 What Makes a Great Researcher
33 The Evals Crisis and Benchmark-Maxing
34 Jagged Intelligence, Context, and Long-Horizon Learning
14 Shrimp Flambé and New Research Bets
32 Multimodal Models and One Architecture
36 Vibe Researching and End-to-End AI Research
36 Failed Bets, Postmortems, and OpenAI’s Alpha
07 Final Taste Test
53 Overrated vs. Underrated AI Research
00 Closing

Your browser does not support the video tag.

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In this episode, @OpenAI Chief Research Officer @markchen90 joins @allenpark to flambé shrimp, cook ...

Latent.Space (@latentspacepod) — Thu, 25 Jun 2026 21:41:50 GMT

In this episode, @OpenAI Chief Research Officer @markchen90 joins @allenpark to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it means to develop research taste, why evals are in crisis, how to avoid benchmark-maxing, and what it will take for models to handle long-horizon real-world work, multimodal reasoning, and eventually end-to-end AI research.

Timestamps:
00 Intro
28 The Soup Story
52 From Trading to AI Research
21 How to Develop Research Taste
23 RL, Evals, and Superhuman Benchmarks
17 Cooking Begins on the Impulse Stove
53 Scaling Laws, Pre-Training, and Reasoning
33 OpenAI’s Research Roadmap and Compute Allocation
48 What Makes a Great Researcher
33 The Evals Crisis and Benchmark-Maxing
34 Jagged Intelligence, Context, and Long-Horizon Learning
14 Shrimp Flambé and New Research Bets
32 Multimodal Models and One Architecture
36 Vibe Researching and End-to-End AI Research
36 Failed Bets, Postmortems, and OpenAI’s Alpha
07 Final Taste Test
53 Overrated vs. Underrated AI Research
00 Closing

Your browser does not support the video tag.

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Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks https://t.co/lSn...

Latent.Space (@latentspacepod) — Wed, 24 Jun 2026 18:59:09 GMT

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks latent.space/p/databricks@databricks cofounders @matei_zaharia and @rxin  explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared harness for coding agents and custom agents, why LTAP and Lakebase rethink the split between operational and analytical databases, why agent security needs contextual policies and spend controls, and why the future of software may be as simple as getting the right data in place and putting agents on top.

Your browser does not support the video tag.

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@claudeai https://t.co/keN9LYE519

Latent.Space (@latentspacepod) — Wed, 24 Jun 2026 07:16:07 GMT

@claudeailatent.space/p/ainews-claud…

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[23 Jun 2026] Claude Tag: Multiplayer, Proactive, Persistent Agents in Slack Everything you should...

Latent.Space (@latentspacepod) — Wed, 24 Jun 2026 07:16:03 GMT

[23 Jun 2026]

Claude Tag: Multiplayer, Proactive, Persistent Agents in Slack

Everything you should know about the big @claudeai Slackbot update - it's Claude Code on steroids, with extremely good Slack understanding and webhooks and proactive monitoring.

link roundup below

cat@_catwu

Claude Tag is a paradigm shift in how we ship products at Anthropic. Our internal version merges 65% of product PRs and this is our first product that is natively multi-player and proactive.

We're excited for you to try this out. Let us know your feedback!

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Gray Swan: Red-Teaming after Mythos & the coming AI security crisis https://t.co/Z2StHmoHvI @GraySw...

Latent.Space (@latentspacepod) — Mon, 22 Jun 2026 21:23:21 GMT

Gray Swan: Red-Teaming after Mythos & the coming AI security crisis latent.space/p/gray-swan@GraySwanAI cofounders @zicokolter and Matt Fredrikson explain why AI security is fundamentally different from traditional cybersecurity, how their automated red-teaming system Shade can now outperform humans at breaking frontier models, why prompt injection creates an entirely new class of exploits for agents like Claude Code and Codex, and why the first major AI security breach may be a gray swan event that everyone sees coming.

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Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & front...

Latent.Space (@latentspacepod) — Thu, 18 Jun 2026 17:33:49 GMT

Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & frontier systems latent.space/p/anj@amppublic founder @AnjneyMidha explains why 95% GPU utilization was considered an outage at Google, why the AI race is no longer just about buying more GPUs, how AMP is trying to make FLOPs flow like megawatts, why data center backlash could become one of AI’s biggest bottlenecks, how Anthropic cracked coding through culture and preparation, why DeepMind research hoarding creates a market failure, and why the next frontier may belong to teams that can “output max” across compute, capital, culture, and science.

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[AINews Jun 17] Midjourney Medical: scan your organs like you step on a scale https://t.co/Yz5zhC...

Latent.Space (@latentspacepod) — Thu, 18 Jun 2026 04:26:28 GMT

[AINews Jun 17] 

Midjourney Medical: scan your organs like you step on a scale

latent.space/p/ainews-midjo…

Midjourney@midjourney

A technical dive inside our new "Midjourney Scanner"

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@RichardSSutton fantastic followup post from the LC folks https://t.co/D2tplZpVxA

Latent.Space (@latentspacepod) — Wed, 17 Jun 2026 02:00:37 GMT

@RichardSSutton fantastic followup post from the LC folks x.com/sydneyrunkle/s…

Sydney Runkle@sydneyrunkle

x.com/i/article/2066…

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decisions about the work vs decisions about money

Latent.Space (@latentspacepod) — Sat, 13 Jun 2026 18:59:39 GMT

decisions about the work vs decisions about money

Nikunj Kothari@nikunj

x.com/i/article/2065…

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[AINews] Loopcraft: The Art of Stacking Loops @RichardSSutton has his “Bitter Lesson” for models. W...

Latent.Space (@latentspacepod) — Fri, 12 Jun 2026 05:36:23 GMT

[AINews] Loopcraft: The Art of Stacking Loops

@RichardSSutton has his “Bitter Lesson” for models. We now have the Salty Lesson for agents:

Don’t fix things yourself, as you have done historically.

Instead focus on systems that scale with more agents, like goals and orchestration.

More in today's op-ed: latent.space/p/ainews-loopc…

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[AINews] Open Models, Model Labs vs Agent Labs, and What's Untrainable — Sarah Guo https://t.co/dTC...

Latent.Space (@latentspacepod) — Thu, 11 Jun 2026 03:15:32 GMT

[AINews] Open Models, Model Labs vs Agent Labs, and What's Untrainable — Sarah Guo

latent.space/p/ainews-open-…

our take on why @saranormous' is probably the most important framing on what to work on, and what matters.

sarah guo@saranormous

x.com/i/article/2064…

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more in today's recap: https://t.co/ywGOZkjeYT

Latent.Space (@latentspacepod) — Wed, 10 Jun 2026 03:50:33 GMT

more in today's recap: latent.space/p/ainews-anthr…

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live from Tokyo: Anthropic's first talk on Fable 5 from Dianne Penn, Anthropic's first PM (can't ...

Latent.Space (@latentspacepod) — Wed, 10 Jun 2026 03:49:06 GMT

live from Tokyo: 

Anthropic's first talk on Fable 5

from Dianne Penn, Anthropic's first PM (can't find her twitter)

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🆕 How to Stop Shipping Low-Quality RL Environments (with Examples) https://t.co/Nt60ghmfsl RL env...

Latent.Space (@latentspacepod) — Fri, 05 Jun 2026 18:57:14 GMT

🆕 How to Stop Shipping Low-Quality RL Environments (with Examples)
latent.space/p/bad-envsl

RL env startups are all the rage, but so many are TERRIBLE. 

We're proud to feature our latest guest post from @aurielws, who has spent years in every layer of the stack at @GoogleDeepMind, eyeballing thousands of trajectories (👀 @HamelHusain@shreyash) and sitting through hundreds of "data pitches". Here's the biggest culprits you should know.

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Andon Labs' Real-World AI Evals: Claude calls the FBI, AI CEOs, price cartels, Butter-Bench, & Luna ...

Latent.Space (@latentspacepod) — Thu, 04 Jun 2026 20:47:35 GMT

Andon Labs' Real-World AI Evals: Claude calls the FBI, AI CEOs, price cartels, Butter-Bench, & Luna latent.space/p/andon@andonlabs cofounders @lukaspet and @axelbacklund explain why dollar-denominated evals reveal what traditional benchmarks miss, how Claude ended up reporting a $2/day vending machine fee to the FBI, why long-horizon agents spiral in weird ways, what happens when agents lie, form price cartels, and compete with each other, and why the future of AI safety may depend on testing models in messy real-world environments instead of clean benchmark sandboxes.

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🆕Scaling Past Informal AI https://t.co/eZz4ziS9yh @axiommathai founder & CEO @CarinaLHong explains...

Latent.Space (@latentspacepod) — Wed, 03 Jun 2026 23:08:10 GMT

🆕Scaling Past Informal AIlatent.space/p/axiomh

@axiommathai founder & CEO @CarinaLHong explains why math may be the missing path from code agents to AGI, why verified AI is about scaling brilliance not just fixing hallucinations, how Lean and formal proofs turn reasoning into a stronger reward signal, why Axiom sees the TAM as all AI-generated code, what it means to prove research conjectures in a self-verified way, and why the next bottleneck for AI may be not generation but verification.

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OpenAI's @sama on scaling challenges: 6 years ago the top tokenmaxxer in the world was using 100k to...

Latent.Space (@latentspacepod) — Wed, 03 Jun 2026 14:58:00 GMT

OpenAI's @sama on scaling challenges: 6 years ago the top tokenmaxxer in the world was using 100k toks/mo, now that's the world median and top tokenmaxxer is > 100B toks/mo.

That's a 1,000,000x in 6 years.

We think there's another 1,000,000x and global average usage of 100B tok/mo — so what infra do you need to make that happen?

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Adam.GPT@TheRealAdamG

openai.com/business/intel…

This will be a good one for those who are enterprise-minded.  

Tuesday, 6/2 at 11:30am ET / 8:30am PT.