·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The AI graveyard: a running list of projects and startups that didn’t make it3h◆Pennsylvania will require labels on AI-generated ads3h◆Block’s new voice model sounds eerily human6h◆Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks Democrats.7h◆Here are the top AI agents that can live in your text messages8h◆OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”22h◆Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell1d◆OpenAI now trains its frontier AI models with no internet access1d◆Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend1d◆From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 20261d◆The iPhone Duo should have been an iPad1d◆Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)1d◆Now Google says it might use your Gmail and Google Photos data to target ads1d◆LitPivot: Developing research ideas through dynamic contextualization within the literature landscape1d◆Meta delays new business terms after publisher pushback on AI scraping1d◆Retro gaming is being overrun with AI1d◆Securing our frontier model training environment1d◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents1d◆TNODEV: Toolbox for Neural ODE Verification1d◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1d◆The AI graveyard: a running list of projects and startups that didn’t make it3h◆Pennsylvania will require labels on AI-generated ads3h◆Block’s new voice model sounds eerily human6h◆Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks Democrats.7h◆Here are the top AI agents that can live in your text messages8h◆OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”22h◆Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell1d◆OpenAI now trains its frontier AI models with no internet access1d◆Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend1d◆From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 20261d◆The iPhone Duo should have been an iPad1d◆Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)1d◆Now Google says it might use your Gmail and Google Photos data to target ads1d◆LitPivot: Developing research ideas through dynamic contextualization within the literature landscape1d◆Meta delays new business terms after publisher pushback on AI scraping1d◆Retro gaming is being overrun with AI1d◆Securing our frontier model training environment1d◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents1d◆TNODEV: Toolbox for Neural ODE Verification1d◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1d◆
News/Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling
arxiv
PublishedJuly 29, 2026 at 4:00 AM
▲bullish

Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2510.14717v2 Announce Type: replace Abstract: Increasing the batch size during training -- a ''batch ramp'' -- is a promising strategy to accelerate large language model pretraining. While for SGD, doubling the batch size can be equivalent to halving the learning rate, the optimal strategy for

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    Seesaw
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#optimization#pretraining#acceleration#machine-learning

No replies yet. Be first.

Mentioned models
01
  • 01
    Seesaw
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#optimization#pretraining#acceleration#machine-learning

Related coverage

More from ARXIV
arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1d
The Bubble Brief
MON · WED · FRI

Read optimization insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews