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Sep 29

Sep 29Tue
  1. Sundar PichaiAI score50

    Google's Pichai signs White House Accord on Super Intelligence with US leaders

    AISundar Pichai said Google signed the White House Accord on Super Intelligence after a meeting with President Trump, Vice President Vance, Speaker Johnson, and administration and tech leaders. He said Google has invested hundreds of billions of dollars over the past two years and will commit more, and that it will release models or products only after thorough review, testing, and safeguards against misuse and misalignment.

    Image from @sundarpichai's post
  2. PlatformerAI score49

    OpenAI's Dots agent is a paid, messaging-based assistant for ChatGPT users

    AIOpenAI has launched Dots, an AI agent that a Platformer columnist tested and found highly capable and focused on work tasks. Dots is available only to paid ChatGPT users for now, and it runs as a running chat inside ChatGPT. The columnist used it to decline a radio appearance, draft a company vacation policy email to a lawyer, and answer bookkeeper questions.

  3. Harrison ChaseAI score42

    Listen Labs joins Salesforce to scale AI customer understanding platform

    AIHarrison Chase praises Listen Labs as a great company and its founders, Alfred and Florian, calling the customer-understanding problem space a compelling AI use case. The post is a short endorsement of Listen's future work, and it accompanies Alfred Wang's announcement that Listen Labs is joining Salesforce, with Alfred remaining CEO and Florian remaining CTO.

  4. Microsoft CopilotAI score8

    Microsoft Copilot outlines its approach to enterprise AI for work

    AIMicrosoft's Jared Spataro, Chief Marketing Officer for AI at Work, published a letter describing how Microsoft is building AI for businesses. The post says the goal is to help teams find answers in company data, develop ideas, and build agents around their own workflows, rather than focusing on whichever model is leading at the moment. It also emphasizes embedding AI in the apps businesses already use.

    Image from @MSFTCopilot's post
  5. Exponential ViewAI score76

    Anthropic's S-1 shows revenue growing far faster than costs ahead of IPO

    AIAnthropic's draft S-1 prospectus, reported by Reuters, shows an $8bn operating loss and a $42bn net loss for 2025, which includes an accounting charge. The author argues revenues are growing far faster than costs, with the company likely turning a profit in 2026. The source also cites $518bn in compute commitments over 7-10 years, about 80% of which cannot be cancelled.

    Why it matters: The piece sets Anthropic's 2025 losses against its revenue growth and compute commitments, offering a concrete read on how an AI lab's finances could look at IPO.

  6. Sakana AIAI score12

    Sakana AI recruits launch member for global Account Executive role

    AISakana AI is hiring a launch-member Account Executive (GTM) to expand sales of its products, including Sakana Marlin, Namazu, and Fugu, to large enterprise customers. The role involves building a sales playbook from scratch for a Japanese AI company competing globally, and requires enterprise sales experience, technical understanding, and fluency in both Japanese and English.

    Image from @SakanaAILabs's post
  7. Sara HookerAI score12

    Sara Hooker Says Adaption Aims to Democratize Frontier AI Ownership

    AISara Hooker, who is affiliated with Cohere, posted a brief statement celebrating her mission and promising more control over AI rather than less, framed as "Your frontier. Not theirs." The context post from @adaption_ai argues that fewer than 1,000 people worldwide can build frontier AI systems, and says Adaption aims to make AI ownership available beyond that small group.

  8. Ahead of AI (Sebastian Raschka)AI score43

    Language Models for Text Classification: From Bag-of-Words to Jev

    AISebastian Raschka traces text classification from bag-of-words models such as naive Bayes and logistic regression through pre-transformer neural networks, then sets up an analysis of the recently released Jev AI model. The article frames Jev as a general-purpose classifier that trades specialized accuracy for speed, cost, and breadth of tasks.

  9. Tibor BlahoAI score53

    OpenAI reopens Pro $200 plan with usage calculation halved

    AIOpenAI is reopening its Pro $200 subscription to new subscribers while changing how usage is calculated, so the plan nets out at about half the API spend of the old Pro $200 plan. The quoted post says the 5-hour limit will not return and that GPT-6 Sol and GPT-6 Luna API prices were cut 50% this week. The author adds that Pro's earlier generosity was unsustainable and cites a January 2025 Sam Altman post saying OpenAI was losing money on Pro subscriptions.

    Image from @btibor91's post

Sep 28

Sep 28Mon
  1. KhazixAI score38

    Khazix open-sources AIHOT, the AI news site, with its full pipeline and prompts

    AIKhazix (Shuzi Shengming Kazike) says the monthly-active-million AI news site AIHOT is now open source on GitHub, including its collection workflow, curation scoring, clustering mechanism, and all production prompts. He says the release is meant to hand the project to others, since readers have asked for versions for industries such as gaming, law, HR, and finance.

  2. Microsoft ResearchAI score30

    Microsoft Research Asia – Singapore marks one year advancing AI research, partnerships and talent

    AIMicrosoft Research Asia – Singapore, opened July 24, 2025 as Microsoft's first Southeast Asian research lab, reports progress after its first year. The lab's work spans next-generation AI models and agentic systems, domain-specific AI for real-world impact, AI-native research practices, and ecosystem and talent development. Its healthcare collaborations on multimodal and agentic AI for clinical decision-making are being deployed through partnerships across Singapore's healthcare ecosystem.

  3. Google · Gemini appAI score38

    See what 4 builders are making with Gemini 3.8 Flash

    AIGoogle says Gemini 3.8 Flash, its most intelligent workhorse model, improves on 3.7 Flash in software engineering, agentic tasks, and multistep reasoning by running extra reasoning steps and calling tools iteratively. The post highlights four community builds, including a model rocket simulation, an animated ink-painting effect, a 3D dinosaur skeleton, and an interactive automatic transmission simulation. Developers can try the model through Google Antigravity and Google AI Studio.

  4. Exponential ViewAI score42

    AI Content Floods Music, Websites and Press Releases, Raising Verification Questions

    AIAI-generated content is spreading across media, with roughly every third new webpage containing some AI-attributable content and nearly 50% of June press releases having a chance of AI-generated text. Over half of new music sent to Deezer in June was fully AI-generated, yet AI tracks account for just 1-3% of streams. Universal Music Group is suing DistroKid over allegedly distributing mass-generated AI content that listeners may mistake for legitimate music.

  5. Import AIAI score52

    Import AI 474 covers Michael Levin's mind-pattern paper, robot post-training, Google's space TPUs, and Zhipu's self-improvement loop

    AIImport AI 474 is a research newsletter by Jack Clark that surveys four developments and one fiction piece. It covers Michael Levin's paper proposing minds as patterns that ingress into bodies, Stanford researchers' call for a universal post-training recipe for robotics, Google's plan to send TPUs to space with Planet, and Zhipu's use of GLM-5.3 to speed up its own inference infrastructure.

  6. howie.seriousAI score14

    Video explains how neurons and synapses shape learning and memory

    AIThe post introduces a knowledge video that explains learning at the neuron level, describing knowledge as circuits of connections between neurons rather than stored content. It highlights how signals switch between electrical and chemical forms at synapses, how review strengthens connections and adds myelin, and how unused connections get pruned, citing the cat-stripe experiment. It concludes the brain is not filled up but declines through disuse, drawn from Chapter 1, Section 2.1 of *Intrinsic-Drive Learning*.

    Video from @howie_serious's post
  7. Lucas Beyer (bl16)AI score3

    Lucas Beyer mocks a late addition to a post about Muse

    AILucas Beyer reacted with "Bruh. Nice addition two hours later," a sarcastic comment on an edit made to a post. The quoted post from Zain Manji says Muse called him Arjun, then gaslighted and stereotyped him, which the response appears to be mocking.

    Image from @giffmana's post