THIS SUNDAY IN SF COME PLAY POKEMON WITH AI AGENTS AND CLAUDE WITH SPECIAL GUEST @DavidSHershey AND VMS FROM @JESSEMHAN 100 SEATS ONLY
@latentspacepod
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Claude 4o and Gemini update long context and image model benchmarks
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we have updated the Long Context and the Image models reading lists in the wake of 4o and gemini's chosen benchmarks today.
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Six Elements of Agent Engineering: Intent, Memory, Planning
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The Six Elements of Agent Engineering compiling answers from @simonw
's definitions thread (thanks @lilianweng @ruthefordml @hwchase17 @DanielMiessler @Dan_Jeffries1 @romechenko
) IMPACT: – Intent (Instructions + Evals)
– Memory (
@gneubig reusable workflows)
– Planning (Editable -
Post-training Distillation Techniques for Large Language Models
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pod: Post-training Distillation for LLMs! https://
youtube.com/watch?v=O1AR4i
L30mg
… We asked Rishi to walk us thru his popular lecture given at @GoogleDeepMind
. Now public for the first time ever on the LS YouTube!! -
Eugene Yan on Recsys and LLMs Live Q&A Discussion
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Congrats to @eugeneyan for yet another banger ranking on HN! Join the Latent Space Paper Club this wednesday for live Q&A with him! https://
lu.ma/n6w3mijk Recsys + LLMs is dynamite! -
Brand Refresh Focuses on AI/ML Dimensionality Reduction and Engineering
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we are pr- uh… we are happy to announce our brand refresh, reflecting our role in dimensionality reduction and translation of complex AI/ML topics to an AI engineering audience
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Fullstack-Bench: Autonomous Coding with Feedback Loops
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Introducing Fullstack-Bench with @sujayakar314 of @convex
! https://
youtube.com/watch?v=FO0AN1
HftCE
… three ingredients for successful autonomous coding: 1. tight, automatic feedback loops
2. expressing everything in standard, procedural code
3. strong, foolproof abstractions -
Cloudflare Year of Agents Podcast with Durable Objects
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new pod: @swyx jams with @ritakozlov and @threepointone on all the @CloudflareDev offerings for the Year of Agents `npm i agents` https://
youtu.be/8W_9lUYGa2U ft riffs on Durable Objects, Sapir Whorf, observability, getting normies to use agents, the obligatory MCP, workflows -
Must-Know Experts in AI Engineering Stack
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who else should we be interviewing that is becoming a must-know part of the AI Engineering stack?
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MCP: The API Layer for LLMs to Communicate with Software
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Reddit comment explains what's possible for the future of software engineering with Anthropic's MCP (model context protocol). A lot of people don't understand MCP hype but it's coming together as the API layer for LLMs to communicate to other products. How AIs talk to software.