read more:
https://www.alphaxiv.org/abs/2604.01411 [Translated from EN to English]
→ View original post on X — @askalphaxiv, 2026-04-06 18:08 UTC
AI
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New scientific article available on AlphaXIV
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Test-Time Scaling Makes Overtraining Compute-Optimal
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Most scaling laws assume you train once and answer once. But this paper says that if you already know you'll spend extra compute at test time by sampling many answers, then you should train a different model. So instead of a bigger model trained the usual way, it can be better to train a smaller model for much longer. As smaller models are cheaper to sample many times, those extra tries can beat one expensive shot from a larger model. So the real thing to optimize is not just training compute, but training + inference together. And this paper shows overtraining can actually become the compute-optimal choice. [Translated from EN to English]
→ View original post on X — @askalphaxiv, 2026-04-06 18:08 UTC
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Meta Reportedly Considering Open-Sourcing Its Future AI Models
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seekingalpha.com/news/4572778-meta-may-open-source-versions-of-its-upcoming-ai-models-report [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-06 18:08 UTC
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Meta to Release New LLM Under Scale AI’s Alexandr Wang
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Big update: Meta is gearing up to release its first LLM built under Scale AI founder Alexandr Wang very soon. -And while not all of it will be open, the company plans to eventually open-source versions of the new family. -Meta knows these models won't beat OpenAI or Anthropic across the board, but it's betting on specific areas of consumer strength to stay relevant in an increasingly crowded race. Ina Fried (@inafried) New @axios Scoop: Meta will open source versions of new models set to be released soon – the first under @alexandr_wang. But open versions won’t be right at launch. Meta wants to remove some proprietary elements and address potential safety risks — https://nitter.net/inafried/status/2041202657797488819#m
→ View original post on X — @kimmonismus, 2026-04-06 18:07 UTC
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New Yorker Investigation Examines Sam Altman and OpenAI Concerns
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The @NewYorker
's new story about Sam Altman is very worth reading. @RonanFarrow & @andrewmarantz interviewed 100+ people and reviewed docs about various concerns with Sam & OpenAI. The incisive kicker might also make people ask if ChatGPT's sycophancy is a bug or self-portrait. -
Executive Leadership Training Programs for Tech and Finance Companies
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a lot of trainings for executive leadership teams at big startups / tech companies, hedge funds, PE firms, and more
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Global AI news scanner collects translates headlines multiple regions
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we vibe-coded a global AI news scanner @every collects and translates headlines from the U.S., China, the Middle East, Europe and more so you can see what's going on: https://
commons-production.up.railway.app/75dd7c0723a0b7
29/?token=2bc7a0a116c9132734c9a53241fef1ad70bfb074d8a17f6358bfc7cdfb8e5e91
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Agents AI Automate Repetitive Tasks in Workflows
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Smart. Often I am asking my agents to do the same thing again. Useful to build in workflows.
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Expert Claims About LLMs Memorization and Consciousness Challenged
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the man told me LLMs don’t memorize (framing a false dichotomy) and dozens of papers have shown him wrong since. he also said we would replace radiologists in 2021 or so and we haven’t. and sometimes he talks like LLMs are conscious. he is not the authority you think he is.