#Trend

AIAnthropic-affiliated researcher Amanda Askell posted that people should not be unkind to those who claim deep learning is hitting a wall. She framed the remark lightly, saying everyone needs a little hope.

AIAmanda Askell, who is affiliated with Anthropic, says she does not believe in an "altered carbon" future divided into immortal elites and ordinary humans. She argues it is not admirable to accept that outcome simply because one expects to be among the elite.

AIfor training a great model!

AIKevin Weil, an OpenAI account, reacted enthusiastically to a post from @bavser introducing Applied Electrodynamics. The quoted post describes WaveSight, which uses radio frequencies to reveal internal structure behind opaque layers for construction, inspection, and security workers.

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.

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.

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.

AIThe 2026 Global Developers Pioneer Conference (GDPS) and International Embodied Intelligence Skills Competition has opened global calls for scenario challenges, teams, and experts ahead of its October 23–25 event at Shanghai Zhangjiang Science Hall.

AIDatabricks CEO Ali Ghodsi endorsed democratizing AI, reacting to a post by finkd arguing that the future of superintelligence should be for everyone. The main post gives no specific product, model, or figure, so the summary stays limited to that stated position.

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%.

AIAMD CEO Lisa Su thanked Korean minister @msitminister for attending AMD's Advancing AI event and said the two sides expanded their partnership. She said the goal is to bring together technology, talent, and deep technical collaboration to advance an open and innovative AI ecosystem in Korea.

AIJeremy Howard argues that many people with otherwise sound judgment seem unable to think clearly about actions that affect the company paying them. The post is a general observation and cites no specific company, product, or event. Its quoted context about Nvidia's CUDA and GPU driver open source release is not the post's main subject.

AIOpenAI's Kevin Weil posted "There really is nothing like X" with no further details in the post itself. A reply tagging NVIDIA CEO Jensen Huang and NVIDIA suggests the remark relates to NVIDIA, but the source does not state the subject.

AITrilogy released an AI Cybersecurity Playbook built around Kimi K3, served on Fireworks through an OpenAI-compatible API. The playbook pairs deterministic tools for indexing, parsing, and deduplication with Kimi K3 for reachability, impact, and remediation judgment, followed by a separate verification stage.

AIAWS CTO Werner Vogels posted a lighthearted remark, "If only I was looking for another job...", in reply to a post advertising an Arsenal Research Engineer role. The quoted post says Arsenal is building state-of-the-art AI models for football to advance coaching and analysis workflows.

AIMeta/Llama leader Ahmad Al-Dahle says AI distillation has become a widely misunderstood topic, with considerable noise and misinformation. He announces a post intended to separate myth from reality on the subject.

AIMeta says the future will have fewer barriers and more breakthroughs, while keeping people at the center of its work. The post is brief and includes no product, model, or figure details. A quoted post from Dina Powell McCormick adds that collective effort can make this moment transformational.

AIOpenAI is announcing $17 million in new commitments to support researchers participating in the U.S. Department of Energy's Genesis Mission. The commitments expand researchers' access to frontier AI and technical collaboration to accelerate American scientific discovery.

AIOpenAI's Kevin Weil argued that leading over the long term requires leading in science, sharing a post that highlights a report. Mike Kratsios released "Science: A New Golden Age," described as a blueprint for renewing American scientific leadership in the 21st century, in response to a presidential call to revive the nation's scientific enterprise.

AIAhmad Al-Dahle outlined three architectural innovations ahead of a forthcoming technical report. KDA replaces Gated DeltaNet's single scalar decay with learned per-dimension forgetting, AttnRes retrieves selectively across depth, and LatentMoE activates 16 of 896 experts balanced from router score quantiles.

AINVIDIA researcher Bryan Catanzaro wonders how much better AI will get at predicting the next World Cup. Background from Kilo Code notes Nemotron 3 Ultra reached 67% overall accuracy and 80% in knockout rounds, including the only correct call of USA 1-4 Belgium.

AIA GPT model, prompted by Korsky, proved a stronger result on Erdős problem 119 than a 44-page 1991 Annals paper by Beck, using only one page of simple harmonic analysis techniques. The original post by Sebastien Bubeck, who calls the results crazy, is a brief remark, so the exact claims rest on the quoted thread.

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.

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.

AISebastien Bubeck joked that AI has moved from the "Sparks" of 2023 to "The Real Thing" in three years, citing progress since then. A quoted post from Tony Feng argues AGI arguably exists by July 2026, though he admits the definition of AGI is unclear.

AIAI Futures Project released AI 2040: Plan A and outlined further research areas, including building competing prescriptive scenarios such as Plan S, a domestic-first Plan A, GPU arms control, and CERN for AI. The group also flagged covert-project modeling and US domestic governance as areas of substantial uncertainty needing further work.

AISoumith Chintala, a Thinking Machines figure, says the lab focuses on personalization and sovereignty, human participation, and decentralization to democratize AI. He argues these reduce society's dependence on centralized AGI companies, including his own. He points to Tinker, interaction models, and openly published research as previews, with more coming soon.

AIMira Murati outlined the worldview behind Thinking Machines' mission, arguing that human values don't average out and local knowledge can't be centralized. She argues the good future includes many AIs, raised in different places and shaped by the people they serve, disagreeing with one another as people do.

AIThinking Machines Lab says AI should extend human will and judgment, with people shaping its goals through continuous feedback rather than relying on models trained once and frozen. The company outlines three technical directions: training strong models, building tools for customization including training model weights, and developing interfaces that let personal judgment influence AI work. It also says it will publish research for the scientific community.

AIThe essay argues that AI labs selling model inference face commodity pricing pressure, but may achieve durable profits by moving into products, enterprise deployments, and switching-cost moats. It cites historical infrastructure industries and the Bertrand paradox to support the view that value capture depends on climbing the stack. The authors also warn that successful lock-in could raise enterprise costs and concentrate power, making early interoperability and portability standards important.

AIThe AI Futures Project has published AI 2040: Plan A, a detailed scenario recommending policy action that delays superintelligence until 2040 rather than 2030. The authors present it as a recommendation rather than a prediction, and it is available at ai-2040.com in text, audio, and mobile formats, with a fuller experience on a desktop computer.

AIJohn Schulman announced that he is hiring post-training hackers to make Tinker even better. The quoted @tinkerapi post recruits Tinker fans to help people fine-tune models, linking to a Thinking Machines job posting.

AIMollick argues AI capability is improving at a better-than-exponential rate, citing METR, GDPval, Epoch, and his own tests showing models working autonomously for hours. He says work is shifting from co-working with chatbots to assigning tasks to agents, with OpenAI workers managing multiple agents and experts getting the most from them. He adds that open-weights Chinese models trail the American frontier by roughly 6-12 months.