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Aug 17

Aug 17Mon
  1. Rowan CheungAI score34

    Keio and MIT Media Lab unveil a floating helium-filled companion robot

    AIResearchers from Keio University and the MIT Media Lab built a soft, helium-filled robot with gentle flapping fins and no face, rotors, or pinch points. In demos it served as an alarm clock, study buddy, movement reminder, and dance partner, communicating through movement. The team designed it to avoid the uncanny valley and be safe to touch, betting people will welcome it into their personal space.

    Image from @rowancheung's post

Aug 16

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Aug 15

Aug 15Sat
  1. Dario AmodeiAI score46

    Amodei says AI messaging is balanced and trust must be earned through results

    AIDario Amodei rejects claims that his messaging on AI has been disproportionately negative, saying he has written one major essay on risks and one on benefits, and that his Machines of Loving Grace essay argues AI could cure most human disease in about 5–10 years. He says the public's negative view of AI reflects a broader crisis of trust in companies, governments, and tech, and that the fix is actually delivering results rather than marketing. Anthropic says it is ramping up biology and medicine efforts and expects early results in the coming months.

Aug 14

Aug 14Fri
  1. Epoch AI · The Epoch BriefAI score42

    Epoch AI lists nine big AI questions its benchmarks aim to answer

    AIEpoch AI outlines nine open questions about AI capabilities, including whether AI can take over full jobs and whether benchmark scores are correlated. The author says Epoch's benchmarking work is built to help answer them, citing examples such as MirrorCode, Remote Labor Index, and the Epoch Capabilities Index (ECI). The post notes that benchmark scores are highly correlated across domains, and that ECI growth trends can help detect whether AI capability progress has accelerated.

  2. Andrew NgAI score38

    Andrew Ng maps the four key skills for AI engineering

    AIAndrew Ng's team released an AI Engineering Skills Map, built from analysis of over 10,000 job postings and expert interviews, identifying four priority skills. The skills are building and deploying AI applications, software engineering fundamentals, using coding agents, and shaping the build. Ng says these skills matter for all developers, not only those with the AI Engineer title.

Aug 13

Aug 13Thu
  1. Jensen HuangAI score22

    Jensen Huang says CUDA keeps A100 GPUs useful through 2029

    AINVIDIA CEO Jensen Huang says A100 GPUs remain mission-capable from 2020 through 2029 because CUDA lets developers and NVIDIA engineers continually upgrade Ampere, Hopper, and Blackwell systems over their useful lives. He argues that CUDA's versatility makes NVIDIA compute fungible, which drives utilization, extends durability, and makes the hardware rentable and financeable as a productive asset.

Aug 12

Aug 12Wed
  1. Jason WeiAI score22

    Jason Wei argues private knowledge and human presence remain AI-resistant moats

    AIJason Wei argues that as AI gains advantages like driving better than humans, durable human moats remain in private knowledge that language models cannot access, such as high-end real estate and venture capital. He also points to entertainment and the arts, where human creation and achievement carry value, and to human presence, since time spent on someone is meaningful because a finite life runs out.

Aug 11

Aug 11Tue
  1. Rowan CheungAI score62

    Meta opens weights for Muse Glimmer 30B model, Muse Spark 1.2 to follow

    AIMeta announced it is opening the weights for Muse Glimmer, a 30B parameter dense model that can run locally. Muse Spark 1.2, described as its latest foundation model, will have its weights released soon. The author's interview with Mark Zuckerberg quotes him saying Llama 4 fell short of the trajectory he wanted and that the lab was rebuilt.

    Video from @rowancheung's post

Aug 10

Aug 10Mon
  1. Rowan CheungAI score45

    Missile engineer's 40-gram drone hunts mosquitoes mid-air using sound

    AIA former missile guidance engineer built a 40-gram autonomous drone that identifies mosquitoes by the Doppler signature of their wings and intercepts them with propellers. The company, backed by YC, believes 10 drones could clear one square kilometre at 100x lower cost, but the only public demo so far killed a moth in an enclosed room.

    Video from @rowancheung's post

Aug 8

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Aug 7

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Aug 6

Aug 6Thu
  1. Ian Johnson 🔬🤖AI score46

    Ian Johnson on copying, remixing, and creating in the AI era

    AIIan Johnson argues that early creative work is often a copy or remix of earlier work, and that cheap copying will be unavoidable. He advises beginners to make things, focus on what they value, and connect with their audience rather than relying on distribution mechanics or artificial scarcity. The post is presented as a reply to a shadcn post about his component being quickly cloned by agents.

Aug 5

Aug 5Wed
  1. AI Futures ProjectAI score59

    AI Futures Project proposes four options for pacing the US AI frontier

    AIThe AI Futures Project proposes four options for domestically pacing frontier AI development to reduce existential risk, ordered from simplest to hardest to execute. The options include a temporary pause, minimum external-inference and transparent-safety compute allocations, a cap on the capability level of models used for AI R&D, and third-party safety-case risk assessments with a monthly risk threshold. The authors suggest starting with a 5-20% safety compute pilot and preparing verification tools in advance.

  2. Andrew NgAI score57

    Jeff Dean, Sanjay Ghemawat, Oriol Vinyals and Quoc Le found Discovery Loop

    AIJeff Dean, Sanjay Ghemawat, Oriol Vinyals and Quoc Le are founding Discovery Loop, a Public Benefit Corporation focused on automating machine learning, science, and engineering to accelerate discovery. The founders say they have worked together for 14 to 30 years and helped build widely used products, infrastructure and AI models. Andrew Ng's own text is a congratulatory message, and the company's mission statement appears in the attached image.

  3. koray kavukcuogluAI score38

    Koray Kavukcuoglu named SVP leading Google DeepMind's model development

    AIKoray Kavukcuoglu, who will become SVP of Google DeepMind, announced he will lead all aspects of model development, GDM research, and Gemini app and dev teams. He thanked Sundar Pichai and congratulated Demis Hassabis on becoming Chair of Google DeepMind and Chief Scientist of Alphabet while continuing to lead Isomorphic Labs. Kavukcuoglu said he will keep working with Hassabis as the teams pursue AGI.

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.

    Video from @intern_lm's post

Aug 3

Aug 3Mon

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.

    Video from @karpathy's post

Jul 30

Jul 30Thu
  1. Jeff DeanAI score38

    Jeff Dean thanks Diana Hu after Startup School conversation at Chase Center

    AIJeff Dean, Google's Chief Scientist, thanked YC partner Diana Hu for an engaging conversation at Chase Center last weekend, his first in a basketball arena. The post is a brief acknowledgment, with the surrounding context describing a Startup School 2026 discussion on AI inference hardware, the origins of TPUs, and advice for founders.

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

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Jul 25

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