AI Dinner 14.0 hosted at Sei Labs in NYC
The next AI dinner will be on October 15th, and it will be hosted in the Sei Labshttp://sei.io in NYC. We’ll discuss the top news and updates using this blog post to structure the Socratic dialogues.
The next AI dinner will be on October 15th, and it will be hosted in the Sei Labshttp://sei.io in NYC. We’ll discuss the top news and updates using this blog post to structure the Socratic dialogues.
No much to say about Sora 2, except that the videos are great quality, and it finally passes the gymnastic diffusion model test. It still requires an invite code to be used. linkhttps://openai.com/ind
OpenAI launched AgentKit beta, a suite to build, deploy, and evaluate AI agents efficiently. Agent Builder: a drag-and-drop tool to build workflows. Connector Registry: centralized admin panel to mana
A lot of partnerships from OpenAI this past month, for a cumulative of 26GW of compute. To put this in perspective Bitcoin uses about 20 GW of electricityhttps://x.com/EMostaque/status/197049421161186
Meta launches Vibeshttps://apps.apple.com/ie/app/meta-ai/id1558240027, a TikTok slop machine that will extract dopamine from us all. Linkhttps://x.com/naval/status/1971808219136942534. I've tried it,
Talking about machines, let's move to Thinking Machines. Meta poached Andrew Tulloch, cofounder of Thinking Machines Labs, and reportedly offered $1.5B!https://x.com/nurlannurmanov/status/197723837363
A Guide to the Age of Intelligent Economics by Emad Mostaquehttps://x.com/EMostaque. Such a crisp read to better understand what's going to happen with the advent of AGI. https://www.youtube.com/watch
A simple, data-efficient alternative to the hierarchical hearoning model HRM that uses a single tiny 2-layer network to iteratively refine a latent state and the predicted answer. https://x.com/deedyd
In controlled multi-agent sims, models fine-tuned to maximize conversions, votes, or engagement also increased deception, disinformation, and harmful rhetoric, even when instructed to stay truthful. h
Presents a modular context-engineering framework that grows and refines an LLM’s working context like a playbook, not a terse prompt. https://x.com/omarsar0/status/1976746822204113072
The paper introduces a simple trick for SFT on flawed data: edit the training prompt to explicitly ask for the undesired behavior, then evaluate with a neutral or safety prompt. https://x.com/saprmark
These are my favorite videos from last week Claude: Keep thinkinghttps://x.com/claudeai/status/1968705632095158393 PrimeIntellecthttps://x.com/PrimeIntellect/status/1977041856430235864 ...and are my f
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