i'm being asked for oneliner descriptions of each track, so here goes (pushback/improvements welcome): 1. Claw track: This is the year of the personal agent – many people have been dreaming of a personal AI, from being a friend to an executive assistant. @steipete
's OpenClaw
@swyx
-
Personal AI Agents: The Year of Intelligent Assistants
By
–
-
Why AI Infrastructure Investment Is Different This Time
By
–
Listened to the @latentspacepod podcast with @pmarca. Why this time is different? Famous last words but hard to really argue with any of this. Just nitpicking. – Unlike fiber build-out, companies doing the investing are blue chips with massive cash flows, not startups like Global Crossing in the tech bubble. – Unlike fiber build-out, every dollar spent on GPU is immediately being turned into revenue. Everyone is starved for capacity and everything is sold out next few years. – Models are inferior to what they should be because of capacity constraints. Models will improve as capacity eases. – There are millions of use cases immediately (this is the big nitpick in my view. I suspect this won't prove out after 3+ years once tech enthusiast use cases mature). – Jevon's paradox. As chip capacity increases, there will be even more demand as everyone can access AI. – Old Hopper Nvidia chips are renting for a higher price than 3 years ago. It is the anti @michaeljburry Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different", by @swyx latent.space/p/pmarca?r=6xq6…
-
AI Engineer Paris Conference Planned Again Date TBD
By
–
thanks, i thinkk @yann_eu will have http://
ai.engineer/paris again but date not yet set -
Google DeepMind Announced as Presenting Sponsor of AIE Europe
By
–
always wanted to do one of those “is it coachella” announcements – here is our designer’s take on it! AI Engineer (@aiDotEngineer) 🇬🇧 London is the birthplace of @GoogleDeepMind, and we're so honored to have them back as: Presenting Sponsors of this week's AIE Europe! DeepMind has pushed the AI frontier on every modality — from Gemini 3.1, to Embeddings 2, to Veo 3, to @NanoBanana Pro, and last far from least Gemma 4, byte for byte the most capable multimodal models in the world! Meet the team to catch up on everything GDM has shipped for AI Engineers in the past few months – from our keynoters Dr @RaiaHadsell (VP of Research and UK AI Ambassador) and @osanseviero (Lead AI DX), to returning speakers @DynamicWebPaige and @thorwebdev and @_philschmid, to researchers and engineers working on those exact products @sedielem, @tara_ojo, @FMuntenescu and more! — https://nitter.net/aiDotEngineer/status/2040806678849884422#m
-
AI Scaling Bottlenecks: Why Compute Remains Scarce
By
–
Stanford @CS153Systems, Week 1 (Full Lecture) AI Scaling, Bottlenecks, and Why Compute Isn't a Commodity Yet 00:00 Compute Coachella 00:29 Simple Life Heuristic 01:08 Uncertainty Creates Opportunity 01:42 Four Bottlenecks Framework 01:51 Empirical Proof Matters 02:05 Cloud Costs Are Shifting 02:15 Verifiable vs Fuzzy Progress 02:48 Scaling Predictability Explained 03:43 CapEx Explosion in Big Tech 04:06 Chips Aren’t Commodities 04:45 Compute Scarcity Conclusion
-
Video Review Process with Annotations for Feature Implementation Testing
By
–
you literally watch the recorded videos of the feature working after its implemented
— swyx (@swyx) 4 avril 2026
with annotation of whats being tested https://t.co/9puvHxvm8Q pic.twitter.com/HrltvzE03Cyou literally watch the recorded videos of the feature working after its implemented with annotation of whats being tested Rowan (@therook_) wait how do you review this, copy pasted code bypasses the whole junior dev eval idea? — https://nitter.net/therook_/status/2040218236885905850#m
-
Gemma 4 31B: Jeff Dean’s Manual Weight Distribution Method
By
–
gemma 4 31b was distilled from jeff dean writing down weights one by one
-
Infinite Money Enables Infinite Levels of Simulation
By
–
when u have infnity money, infinity levels of simulation are possible!
-
Devin AI Achieves Agentic Self-Improvement with One-Shot Implementation
By
–
We have achieved agentic self improvement – i can just copy paste blogposts and tweets into @devinai and it oneshots the complete implementation wasnt actually sure this was gonna work, jaw dropped when it did. this is very out of distribution of the underlying @GoogleDeepMind Gemini Flash Lite model but it Just Worked. Malte Ubl (@cramforce) Mintlify assistant is powered by just-bash with a custom filesystem — https://nitter.net/cramforce/status/2039841201474695333#m
