51 Matching Annotations
  1. Oct 2026
    1. Overall Financial Position: Conclude with a summary of your financial strengths, stability, and readiness to purchase a home. Explain how your financial profile will shape your decisions throughout the transaction.

      I feel ready to buy a home because I live well below my current means, and in the NFL I would be making much more than I do now. The NFL income isn't guaranteed, so I want to buy a modest home in the 500,000 dollar range with 20% down to keep my projected costs low.

    2. Provide an estimated credit score range and explain how your credit standing will influence the mortgage terms available to you. To complete this portion accurately, you should check your credit score using a free and reputable source but you do not have to disclose your actual score. Many financial institutions and credit card companies provide updated credit scores as part of their online banking services. These tools do not affect your credit and are intended to support financial awareness and responsible planning.

      I expect my credit score to be above 700 by the time that I buy a house, which puts me in a good tier of credit. My score is limited by my short credit history, but I am not in debt at all and never miss payments. I have been trying to improve it since I've gotten a credit card and I don't suspect I will have any issues when it comes time to get a mortgage.

    3. Dedicated Funds for the Purchase: Identify any funds you have set aside specifically for the home purchase.

      I would like to set aside around 150,000 dollars for my first home purchase. These funds will cover my down payyment and closing costs while leaving my emergency funds untouched. I want to live in a very humble house and just make sure my needs are met.

    4. Retirement and Long Term Savings: Estimate the balances in your retirement accounts and long term investment accounts. Use reasonable figures based on your chosen buyer identity. Include emergency savings and explain how these reserves support financial stability.

      I plan to contribute to the leagues 401K plan to start building long term. I would also like to set aside at least 10% of each paycheck for emergencies. Building up a reserve if I were to be released are important.

    5. Assets and Equity: If applicable, describe any existing property you own and estimate the equity you have built. Include other major assets such as savings, investment accounts, or employer sponsored plans. Provide realistic values that reflect saving and investment over time. A first-time buyer may mainly have cash savings and perhaps some retirement savings.

      I dont own any property, so I have no home equity. My main assets would be the cash savings I have through NIL, and the investments that I have made in stocks and crypto. Once I sign with a team I will become eligible for the NFL's retirement and 401K plans.

    6. Motivation to Buy: Describe the housing situation you expect to have right before purchasing a home. This could include renting, living with family, living in student housing, or already owning another home. Explain what would motivate you to buy at that point. Also identify at least one situation that might cause you to delay the purchase or continue renting instead.

      Right before buying, I will most likely continue to rent the apartment I am currently in until I know where I am going. This gives me access to the training facilities we have here at UW. I am motivated to buy because I want to start building equity, and a home is a great overall investment as a young adult (if you can afford it). I would delay the purchase if I was not immediately signed in the first singing window, and in that case I would most likely move in with my parents temporarily and be closer to my individual coach and save money until I got my opportunity.

    7. Household Needs and Lifestyle Goals: Explain who will occupy the home and what interior and exterior features you require. Identify the functional needs and lifestyle aspirations that will guide your property search.

      I will be the only one living there and I would like the home to be a short commute to the practice facility (if possible) to save money on commuting. I live very simply so I wont need that many extra features, but the second bedroom will be converted into an office space. A two car garage is also very important for my car, along with storing training equipment and other miscellaneous large items.

    8. Career and Life Stage: Describe the career and life stage you expect to be in when you purchase. Explain whether your employment and income are likely to be stable, growing, variable, or uncertain. Consider factors such as starting a career, relocating for work, living independently, forming a household, raising children, or preparing for retirement. Explain how these circumstances affect your readiness to buy and expected ownership period.

      I will buy shortly after signing with an NFL team as a late round draft pick or an UDFA, which is the most common pathway for someone who plays my position. NFL league minimum pays very well for rostered athlete, which is what athletes in my role usually start out with. In my scenario I stay with a team for numerous years (which is rare in football but for this scenario its different) and feel comfortable buying a starter home.

    9. Prior Homeownership Experience: Indicate whether this is your first purchase or whether you have owned property before. Explain how your experience informs your approach to the transaction.

      This would be my first purchase (which is very exciting), but I have moved around quite a bit growing up so I understood the basics and have learned more as I have progressed through my degree. Since I have been in college, I have lived in off campus apartments alone but am considering renting a 2 bedroom house for my final year next year to see if I prefer that over an apartment for when I graduate.

    10. Buyer Composition: Identify whether you are purchasing alone or with one or more co‑buyers. You do not need to create a co-buyer if buying individually fits your scenario. Describe your ages, household structure, and the legal form of ownership you intend to use (for example, joint tenants with full rights of survivorship, tenants in common, or sole ownership).

      In this scenario, I am 22 and fresh out of college looking to purchase my own two bedroom single family home as the sole owner. I just graduated college and am entering the housing market with no dependents and no co buyers, and I will be responsible for making all the payments, along with qualifying the mortgage and maintaining the property's condition. I plan to live alone as I am not a fan of having roommates.

  2. Sep 2026
    1. Engineers have access to select third-party models in Antigravity, which is aligned with our external Antigravity enterprise offering.

      【方法】文章提到Google通过其内部开发平台Antigravity提供第三方模型访问,但未详细说明这些模型的选择标准。这种选择方法的具体细节值得了解,包括评估流程、安全考量以及与外部企业版的差异。

    2. The spokesperson said Claude was being offered with per-user quotas for employees and was designed to be supplementary to Gemini.

      【方法】文章提到Google为Claude设置了'per-user quotas'(每用户配额),但未具体说明这些配额如何确定或实施。这种配额系统的方法论细节值得进一步了解,包括配额标准、使用限制以及与Gemini的互补机制。

  3. Jul 2026
    1. Best AI Note Takers — 2026
      • Overview of the AI Audio/Note-Taker Category

        • Tested a wide range of devices categorized as AI pins, note-takers, second brains, or lifelongers [00:00:06].
        • Distinct from previous failures like the Rabbit R1 or Humane AI Pin because they do not aim to replace smartphones [00:00:23].
        • Big tech is moving heavily into the space, with Amazon and Meta recently acquiring key startups in the audio sector [00:00:39].
        • Devices share the same core workflow: record audio, transfer it to a phone, transcribe it via a mobile app, and process it with an AI model for summaries and action items [00:01:14].
      • Two Key Product Dimensions

        • Trigger Recording vs. Always Listening: Devices either record only when manually prompted or constantly listen to collect continuous ambient context [00:01:41].
        • Summarization vs. Proactive Interpretation: Products focus strictly on summarizing audio or aim to actively interpret and guide the user [00:01:41].
      • Triggered Recording Tools (The Currently Practical Category)

        • Evaluation Criteria: Transcripts and speaker detection are very similar across brands because they outsource to the same providers [00:02:42]. Differentiation comes from:
          • File Transfer: Speed and reliability of moving audio files to a phone [00:03:02].
          • App Quality & Ecosystem: Stability of the mobile app and existence of a desktop app [00:03:13].
          • Trust & Longevity: Manufacturer data privacy practices and financial stability to avoid hardware bricking [00:03:19].
          • Data Lock-in: The ease of exporting notes to external personal knowledge management systems [00:03:30].
          • Cost Structure: Upfront hardware price combined with ongoing subscription costs for server-side AI processing [00:03:35].
        • Top Recommendation — Plaud: The clear winner for file transfer speed/reliability, background Bluetooth/Wi-Fi syncing, cloud upload capabilities, and a functional template ecosystem [00:03:58]. Offers a robust desktop companion app that records virtual meetings via system audio without utilizing an intrusive bot [00:04:59]. It maintains SOC 2 and HIPAA compliance for data privacy [00:05:42]. Data lock-in is mitigated via Zapier integrations, automatic email delivery, and a developer community [00:07:01].
        • Cost-Saving Alternative: The open-source "AudioBridge" project allows users to bypass expensive Plaud subscription costs by utilizing their own direct AI API keys [00:08:41].
        • Other Notable Contenders:
          • Soundcore: Excellent hardware with a built-in magnetic charging case, but restricted by a basic headphone app that lacks AI search or customization [00:08:58].
          • Pocket: Refined premium metal hardware and strong export features (MCP server), but held back by inconsistent phone transfer reliability and sudden changes to their subscription plans [00:09:37].
          • Haidoc P1 / P1 Mini: Connects directly via Bluetooth headphones to a computer or phone to save files locally on internal memory without requiring software installations—ideal for highly locked-down enterprise computers [00:10:36].
      • Always-Listening Devices (The "Second Brain" Category)

        • Focused on building an all-knowing memory backup with perfect recall, daily recaps, and automated task generation [00:11:29].
        • Tested Options:
          • Friend & Lookie: Non-recommended. Friend is invasive/sassy; Lookie includes a camera but looks like a conspicuous police body camera and performs poorly [00:11:41].
          • Limitless Pendant: Off the market following Meta's acquisition of the company [00:12:06].
          • OMI: Open-source and ambitious (working on screen recording and AI glasses), but currently buggy and lacks product focus [00:12:44].
          • B: Highly polished initially, but customer support and software stability degraded heavily after Amazon's acquisition [00:13:29].
          • Fieldly: The best of the group due to its focused approach, clean transcriptions, reliable hardware, multi-day battery life, and strong desktop app integration [00:14:13].
        • Fatal Flaws ("Context Rot"): Current models fail at accurate diarization (figuring out who said what), often attributing dialogue heard from nearby strangers or media to the user [00:15:05]. The user faces a heavy administrative burden to clean up flawed AI data, making the absolute "always-on second brain" promise currently non-viable [00:15:34].
      • Legal, Ethical, and Social Boundaries

        • Roughly 40% of the US population lives in two-party consent states, creating legal friction for recording private interactions [00:16:33].
        • Socially, requesting recording consent in private contexts remains awkward, frequently altering normal human behavior [00:16:48].
      • Future Market Trends

        • Form Factors: Sharp rise in ring-based options (Sandbar, Pebble, Fable) and a shift toward self-improvement pendants focused on emotion-tracking and self-awareness (Nerva, Nuna) [00:17:24].
        • Glasses & Visuals: Shift toward smart glasses (Meta Ray-Ban integrations, Pickle, Rokid) and pendant cameras [00:18:01].
        • Industry Heavyweights: Big tech is aggressively entering the market; OpenAI is working on an audio device, and Apple recently acquired QAI for $1.5B to decipher silent speech via jaw/facial micro-movements [00:18:29].
        • Mainstream Adoption Outlook: Unlike the failure of Google Glass, modern audio-only devices feature virtually invisible microphones, bypassing public visibility backlash [00:19:28]. Adoption may mirror a competitive sports dynamic (like the NBA three-point revolution): if the tools offer an undeniable cognitive or professional advantage, adoption will become mandatory to avoid falling behind [00:19:40].
  4. Jun 2026
    1. Macos app that hooks into your AI processes to maintain a better overview and less switching. The entire site is generated it seems, judging by the texts and the non-functioning element.

    1. For decades, code contributions have been how open source projects learned who to trust. People would show up, do the work, take responsibility for their changes, and stick around. Over time, trust emerged from the work itself. AI tools have changed the economics of this very quickly. We use them ourselves every day, but a pull request no longer tells us as much as it used to about the person submitting it. A substantial patch used to imply substantial effort, and that effort was a reasonable proxy for good faith. That assumption no longer holds. For a browser, this matters. A browser runs untrusted input from the entire internet on the user’s machine, and one well-disguised vulnerability is all an attacker needs. We have already seen patient, well-resourced campaigns in open source to earn maintainer trust and abuse it. What has changed is how much faster and cheaper it has become to produce work that looks like a serious contribution.
    1. The functionality seamlessly supports everything from basic arithmetic to highly intricate calculations, simplifying what is traditionally a frustrating and time-consuming debugging process.

      大多数人认为AI工具在处理简单任务时效率高,但在复杂专业领域表现有限,但作者声称Gemini能无缝处理从基础到高度复杂的所有计算,这挑战了AI能力随复杂度递减的普遍认知。如果属实,这将代表AI辅助工具的重大突破。

  5. May 2026
    1. The vast majority of respondents (81%) have tried using AI chatbots in research, particularly for writing code and editing prose. But only 20% have adopted coding agents—tools like Claude Code that autonomously write and execute analysis code—into their work.

      81%使用AI聊天机器人的比例远高于20%采用编码代理的比例,这表明虽然大多数社会科学家已经尝试过AI工具,但只有少数人真正采用了更先进的自主编码工具。这个差距反映了AI工具采用过程中的明显分层,可能与技术接受度、工作流程整合难度有关。

    1. agentic systems can be designed to call on such tools when they might be useful

      大多数人认为通用AI代理将取代专门的科学工具,但作者认为这两者实际上是互补的,通用AI可以调用专门工具作为其能力的一部分。这一观点挑战了AI发展路径将完全由通用代理主导的主流叙事,暗示专门工具仍将在未来科学AI生态中扮演重要角色。

  6. Apr 2026
    1. And it’s not just office work. Multi-agent tools like Google DeepMind’s Co-Scientist let researchers use teams of AI agents to coordinate literature searches, generate and test hypotheses, design experiments, and more.

      大多数人可能认为人工智能在办公室工作中的应用仅限于数据处理,但作者提出,多智能体工具甚至可以用于研究工作,如文献搜索和实验设计。

    1. 从视频生成器升级为导演工具套件

      这一表述揭示了一个令人惊讶的事实:AI工具正在从'执行单一任务'向'理解复杂创作流程'转变。这表明AI不再仅仅是内容生成工具,而是开始具备对整个创作过程的系统理解,这是AI创作能力进化的一个重要里程碑。

    1. Heavy users of Claude Code, Codex, Cursor, and Copilot will feel this immediately.

      这一洞见暗示了Figma for Agents与现有AI编程工具的协同效应,表明设计系统与代码生成工具的整合将显著提升开发流程的连贯性。这反映了AI在设计和开发领域融合的更大趋势,以及打破设计与代码之间壁垒的重要性。

    1. For example, developers can give an agent a controlled workspace, explicit instructions, and the tools it needs to inspect evidence:

      令人惊讶的是:OpenAI的Agents SDK现在允许开发者创建一个完全受控的工作环境,让AI代理可以检查文件、运行命令和编辑代码。这种能力意味着AI系统可以更深入地与计算机系统交互,实现更复杂的任务自动化,这比大多数人想象的AI能力要强大得多。

    1. Each platform surfaces different vulnerabilities, making it difficult to establish a single, reliable source of truth for what is actually secure.

      令人惊讶的是:AI安全工具之间存在不一致性,导致难以确定真正的安全状况。这种混乱局面使得企业面临更大的决策困境,即使有先进的安全工具,也无法保证全面保护,这反映了AI安全领域尚未成熟的现实。

    1. Within ChatGPT Business and Enterprise, the number of Codex users has grown 6x since January.

      大多数人可能认为企业AI工具的采用是渐进式的,但作者认为Codex在企业环境中的采用呈爆炸性增长(6倍增长),这表明AI编程助手可能比预期更快地从实验性工具转变为生产力核心,挑战了人们对AI技术企业采用速度的常规认知。

  7. Jan 2026
    1. Further ReadingI’m not gonna pretend to be an expert here (any more than I’m an expert Obsidian plugin developer :p) but here are some resources that helped me figure out Claude CodeKent writes a lot about how he uses Obsidian with Claude Code.This is an incredible hub of resources for using Claude Code for project management, by someone who also uses Obsidian.This take on Claude Code for non-developers helped solidify my understanding of how it all works; it hallucinates less, for one thing.Eleanor Berger has fantastic tips for working with asynchronous coding agents and is incredibly level-headed about the LLM landscape.This article does a great job of breaking down all the nitty-gritty of how Claude Code works.Damian Player has a step-by-step guide on using Claude Code as a non-technical person that goes into more depth.Here’s a tutorial from a pro that breaks down best practices for using Claude Code, like the importance of planning and thinking things through, and exactly why a good CLAUDE.md file matters.

      Links w further reading wrt Claude Code and Obsidian. Most of these are links to X. Ugh.

    2. Suddenly, I can actually make use of the APIs I’ve always known existed.

      yes, recognisable, there are a whole bunch of APIs on things I woud like to use that I'm not bc figuring out their workings in Postman takes too much effort

    1. Cursor is an AI using code editor. It connects only to US based models (OpenAI, Anthropic, Google, xAI), and your pricing tier goes piecemeal to whatever model you're using.

      Both an editor, and a CLI environment, and integrations with things like Slack and Github. This seems a building block for US-centered agentic AI silo forming for dev teams.

    1. f you define agents as LLM systems that can perform useful work via tool calls over multiple steps then agents are here and they are proving to be extraordinarily useful. The two breakout categories for agents have been for coding and for search.

      recognisable, ai agents as chunked / abstracted away automation. This also creates the pitfall [[After claiming to redeploy 4,000 employees and automating their work with AI agents, Salesforce executives admit We were more confident about…. - The Times of India]] where regular automation is replaced by AI.

      Most useful for search and for coding

  8. Oct 2025
    1. Introduction: AI is now recently everywhere but we still need humans

  9. Sep 2025
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  13. Nov 2023
  14. Sep 2023
    1. in 2018 you know it was around four percent of papers were based on Foundation models in 2020 90 were and 00:27:13 that number has continued to shoot up into 2023 and at the same time in the non-human domain it's essentially been zero and actually it went up in 2022 because we've 00:27:25 published the first one and the goal here is hey if we can make these kinds of large-scale models for the rest of nature then we should expect a kind of broad scale 00:27:38 acceleration
      • for: accelerating foundation models in non-human communication, non-human communication - anthropogenic impacts, species extinction - AI communication tools, conservation - AI communication tools

      • comment

        • imagine the empathy we can realize to help slow down climate change and species extinction by communicating and listening to the feedback from other species about what they think of our species impacts on their world!
  15. Aug 2023
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  21. Apr 2015