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June 20 · Today
03:19
00:19
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The VergeSignal
@theverge
Why this matters · 38
38

Sam Altman says OpenAI won’t go public until its models are safe

For months, people have wondered when OpenAI will go public. CEO Sam Altman says it won't happen until the company can make better promises about model safety, with no firm timeline in sight. "We intend to continue with…

Sam Altman says OpenAI won’t go public until its models are safe
The VergeMedia

Why this matters

The Verge angle: For months, people have wondered when OpenAI will go public. CEO Sam Altman says it won't happen until the company can make better… Check the original before changing a build, vendor, or research decision.

7 hours ago
22:20
T
TechCrunchSignal
@techcrunch
Why this matters · 38
38

The internet is convinced Elon Musk’s xAI trolled OpenAI’s ‘Dots’ launch

Before OpenAI launched its new AI agent, Dots, on Tuesday, Elon Musk's xAI had already acquired the domain name "dot.com," which now redirects to the Grok chatbot download page.

TechCrunchStartup

Why this matters

TechCrunch angle: Before OpenAI launched its new AI agent, Dots, on Tuesday, Elon Musk's xAI had already acquired the domain name "dot.com," which… Check the original before changing a build, vendor, or research decision.

9 hours ago
20:15
T
TechCrunchSignal
@techcrunch
Should you care? · 38
38

OpenAI’s latest features take direct aim at the app store model

OpenAI is building out the pieces of an alternative to the traditional app store model, turning ChatGPT into a place where software can be discovered and used by people and AI agents alike.

TechCrunchStartup

Why this matters

TechCrunch angle: OpenAI is building out the pieces of an alternative to the traditional app store model, turning ChatGPT into a place where software… Check the original before changing a build, vendor, or research decision.

11 hours ago
18:35
T
TechCrunchSignal
@techcrunch
Should you care? · 38
38

Here’s why OpenAI is absent from Nvidia’s industry-wide effort to end rogue AI agents

OpenAI isn't a public supporter of Nvidia's Open Agent Safety Platform, but it is privately working with Nvidia, TechCrunch has learned.

TechCrunchStartup

Why this matters

TechCrunch angle: OpenAI isn't a public supporter of Nvidia's Open Agent Safety Platform, but it is privately working with Nvidia, TechCrunch has… Check the original before changing a build, vendor, or research decision.

13 hours ago
18:27
S
Simon WillisonSignal
@simonw
Should you care? · 38
38

GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price

My comment on GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price — Hacker News. I'm a bit late with the pelicans because I was live-blogging the keynote: https://simonwillison.net/2026/Sep/29/openai-dev…

Blogaiopenaigenerative-ai

Why this matters

ai angle: My comment on GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price — Hacker News. I'm a bit late with the pelicans… Check the original before changing a build, vendor, or research decision.

13 hours ago
17:59
A
ArXivSignal
@arxiv
Should you care? · 38
38

Skill-Space Shooting for Autonomous Robot Policy Improvement

Robots deployed in the physical world must be able to improve beyond their initial training as they encounter new situations and failures. For this improvement to scale across tasks, it must make effective use of experi…

ResearchArXivcs.AI

Why this matters

ArXiv angle: Robots deployed in the physical world must be able to improve beyond their initial training as they encounter new situations and… Check the original before changing a build, vendor, or research decision.

13 hours ago
17:57
A
ArXivSignal
@arxiv
Should you care? · 38
38

Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning

As agents take on longer and more complex problems, controlling the execution becomes a task in its own right. Each step in the run brings new control choices, like which partial work to build on, whether to start fresh…

ResearchArXivcs.AI

Why this matters

ArXiv angle: As agents take on longer and more complex problems, controlling the execution becomes a task in its own right. Each step in the run… Check the original before changing a build, vendor, or research decision.

13 hours ago
17:55
A
ArXivSignal
@arxiv
Should you care? · 38
38

Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI

Agent performance depends on both reasoning ability and the environment in which it acts. We study test-time AI-for-AI, asking how a Builder can learn to construct better execution environments for a Target while both m…

ResearchArXivcs.AI

Why this matters

ArXiv angle: Agent performance depends on both reasoning ability and the environment in which it acts. We study test-time AI-for-AI, asking how… Check the original before changing a build, vendor, or research decision.

13 hours ago
17:55
A
ArXivSignal
@arxiv
Should you care? · 38
38

AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation

A small trainable advisor can steer a frozen language-model executor using natural-language advice. In addition to learning from task rewards, the advisor can use feedback from completed interactions to improve its advi…

ResearchArXivcs.AI

Why this matters

ArXiv angle: A small trainable advisor can steer a frozen language-model executor using natural-language advice. In addition to learning from… Check the original before changing a build, vendor, or research decision.

13 hours ago
17:55
A
ArXivSignal
@arxiv
Should you care? · 38
38

Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE

Mixture-of-Experts (MoE), popularized by large language models, is a promising paradigm for scaling visual generative models. However, conventional token-wise MoE routes tokens independently within a homogeneous expert…

ResearchArXivcs.AI

Why this matters

ArXiv angle: Mixture-of-Experts (MoE), popularized by large language models, is a promising paradigm for scaling visual generative models… Check the original before changing a build, vendor, or research decision.

13 hours ago
17:47
A
ArXivSignal
@arxiv
Should you care? · 38
38

Do LLM Agents Execute the Plans They Declare? From Planning-Mode Declaration to Pattern-Specific Execution

Large language models (LLMs) enable agents to solve long-horizon tasks by generating a plan and then executing it in an environment. However, successful planning requires two distinct capabilities: selecting an appropri…

ResearchArXivcs.AI

Why this matters

ArXiv angle: Large language models (LLMs) enable agents to solve long-horizon tasks by generating a plan and then executing it in an… Check the original before changing a build, vendor, or research decision.

14 hours ago