Skip to contentSkip to stories

Updated

#Trend

Aug 5

Aug 5Wed

Aug 4

Aug 4Tue
  1. Intern Large ModelsAI score26

    Shanghai AI Lab Chief Scientist and Nitzberg debate AI safety by design

    AIAt WAIC 2026, Shanghai AI Laboratory's Bowen Zhou asked whether external evaluations, red teaming, and third-party verification suffice to grant AI real-world authority, and Nitzberg answered no. Nitzberg compared AI to bridges, arguing that builders must carry the burden of proof through safety-by-design and pre-deployment evidence that powerful agents remain understandable and controllable.

Aug 3

Aug 3Mon

Aug 2

Aug 2Sun

Aug 1

Aug 1Sat
  1. Andrej KarpathyAI score66

    Karpathy tests Opus 5 by rendering Lord of the Rings opening in 3D

    AIAndrej Karpathy gave Claude Opus 5 the first paragraph of Lord of the Rings with a 1M token budget and asked for a Three.js render. Opus spent about two hours writing 5500 lines of code that procedurally renders the story, which Karpathy calls janky but fun. He notes the model struggled to audit its work because it cannot efficiently perceive video or play the resulting game, relying on slow screenshots that led to several errors.

Jul 30

Jul 30Thu
  1. Microsoft AI BlogAI score14

    Leaders share how AI transformation depends on mindset, team adoption, and culture

    AILeaders interviewed for Alysa Taylor's "What's the Tea?" series, including executives at Adobe, Lumen, and Sitecore, say the shift from AI apprehension to expected adoption is the precondition for transformation. Behavioral scientist Jon Levy argues the goal is raising a team's collective intelligence, not just cutting costs, with leadership and continuous training driving scale.

Jul 29

Jul 29Wed
  1. Ahmad Al-DahleAI score52

    Ahmad Al-Dahle argues AI capex is both short on compute and overbuilt

    AIAhmad Al-Dahle argues that AI infrastructure faces both a compute shortage and overbuilding, with the four largest hyperscalers planning roughly $725 billion of capex in 2026, up 77 percent from last year. He describes a "mutually assured construction" dynamic in which every well-capitalized player buys the same insurance against falling behind, so the industry overbuilds by construction.

Jul 28

Jul 28Tue
  1. Tri DaoAI score42

    Putting LLM brains on robots yields 4x SOTA gains without extra training

    AITri Dao reports that connecting an LLM as the "brain" to robot control policies quadruples state-of-the-art performance with no extra training. He says he was surprised by how well it works and expects agents running on robots to arrive soon. Background from a quoted post reports real-robot success rising from 16.7% to 97.3% and simulated LIBERO-PRO success from 12.8% to 53.3%.

Jul 27

Jul 27Mon

Jul 26

Jul 26Sun

Jul 25

Jul 25Sat

Jul 24

Jul 24Fri
  1. Alex AlbertAI score34

    Opus 5 now produces consultant-grade spreadsheets and slide decks, Alex Albert says

    AIAlex Albert, of Anthropic, says Opus 5 now produces near-superhuman spreadsheets and slide decks that match what a consultant would make, just over six months after its predecessor. He also notes that finance professionals are reporting strong reactions to Claude for Excel, and he expects agentic progress seen in coding to extend to other fields in 2026.

Jul 23

Jul 23Thu

Jul 22

Jul 22Wed

Jul 20

Jul 20Mon

Jul 19

Jul 19Sun

Jul 13

Jul 13Mon
  1. AI Snake OilAI score57

    Narayanan argues AI job change will unfold over decades, not with one model release

    AIArvind Narayanan's ICML keynote argues that AI's labor impact will depend on slow organizational adaptation rather than a single lab milestone. He cites reliability measurements showing agent accuracy rose much faster than reliability over the last 24 months, and points to software engineering and past technologies like electricity and ATMs. He concludes that evaluation work and human judgment will become more central as building tasks are increasingly automated.

  2. Liquid AI NewsletterAI score6

    Liquid AI invites developers to introduce themselves and share their AI projects

    AILiquid AI is asking developers and researchers who build efficient, general-purpose AI for on-device hardware such as phones, laptops, cars, robots, and enterprise systems to introduce themselves in the comments. It invites readers to describe what they are building or studying, whether shipping products, publishing research, or working on side projects.

Jul 12

Jul 12Sun