alphaXiv
alphaXiv is τ-BENCH is introduced as a benchmark evaluating AI systems on their ability to construct deployable, customer-facing agents from realistic business artifacts. Experiments reveal that current LLM.... It is ranked #3 on the AI Radar, in AI agents, first seen 14 days ago and shared in 41 posts (824.8k views).
What people said about alphaXiv on X
“Recurrent Looped Transformer” This paper makes the decoder recurrent across every prompt and response token, while a causal encoder provides reusable global KV memory. Longer sequences then create deeper latent computation paths without adding more physical layers, while keeping the same state transition across…
— @askalphaxiv, 6 days ago · 1.8k likes · see the post
“The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement” This paper argues that true recursive self-improvement isn’t just AI getting better at tasks, but AI getting better at getting better. They map a path from AI simply executing human-designed improvements to choosing its own improvement…
— @askalphaxiv, 6 days ago · 898 likes · see the post
“Thinking with Looped Flows” Looped models can spend more compute by recurrently updating hidden states, but truncated backprop makes it hard for early steps to learn computations that stay useful later. This paper trains recurrence through progressively easier denoising objectives with decreasing noise, turning…
— @askalphaxiv, 7 days ago · 844 likes · see the post
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alphaXiv in numbers
- Rank on the AI Radar: #3 of 1181
- Shared in 41 posts by 3 accounts: @askalphaxiv, @sheriyuo, @ziv_ravid
- 824.8k views on those posts
- First seen 14 days ago, last shared 3 h ago
- Pricing seen by Jev: not stated
- Market: AI agents
FAQ
What is alphaXiv?
τ-BENCH is introduced as a benchmark evaluating AI systems on their ability to construct deployable, customer-facing agents from realistic business artifacts. Experiments reveal that current LLM... It was first shared on X 14 days ago and is ranked #3 on the AI Radar.
Is alphaXiv free?
Pricing is not stated on the page we read.
Who shared alphaXiv?
3 accounts on X, including @askalphaxiv, @sheriyuo, @ziv_ravid, in 41 posts totalling 824.8k views.
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 27k posts from 4.8k X accounts over the last 14 days, 1.2k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 16:11 UTC. Full method.