Outlines

Outlines AI

Outlines AI

Outlines AI

Outlines AI

Outlines AI

Outlines AI

Outlines AI

Outlines AI

Outlines AI

Outlines AI

China drafts law regulating 'digital humans' and banning addictive virtual services for children

A Reuters report outlines China's proposed regulations on the rapidly expanding sector of digital humans and AI avatars. Under the new draft rules, digital human content must be clearly labeled and is explicitly banned from offering virtual intimate relationships to anyone under 18. The legislation also prohibits the unauthorized use of personal data to create avatars and targets services designed to fuel addiction or bypass identity verification systems. submitted by /u/Confident_Salt_8108 [link] [comments]

Has anyone done a detailed comparison of the difference between AI chatbots

I've been doing some science experiments as well as finance research and have been asking the same question to ChatGPT, Claude, Perplexity, Venice and Grok. Going forward I kind of want the ease of mind knowing the one I end up using will be most accurate, atleast for my needs (general question asking regarding finance (companies) and science, not any coding or image related). ChatGPT does the best at summarizing and giving a consensus outline with interesting follow up questions. It's edge in follow up questions that are pertinent will likely have me always using it. Grok has been best at citing exactly what I need from research papers. I was surprised as I had the lowest expectations for it, but it also provides the link to the publications. Claude is very good at details and specifics (that are accurate) but doesn't publicly cite sources. Still I come closest to conclusions with Claude because of the accuracy of the info. Venice provides a ton of relevant info, but it doesn't narrow it down to an accurate conclusion, atleast scientifically, the way Claude does. When I was looking for temperature ranges for bacterial growth, it provided boundaries instead of tightly defined numbers. Perplexity is very similar to venice. -- I'm curious to those who have spent time on the chatbots --- what pros and cons do you like about each? submitted by /u/VivaLaBiome [link] [comments]

[D] Real-time Student Attention Detection: ResNet vs Facial Landmarks - Which approach for resource-constrained deployment?

I have a problem statement where we are supposed to detect the attention level of student in a classroom, basically output whether he is engaged/ confused/ bored, we are trying to find what approach to choose: to basically explain about facial landmarks approach this is what my claude says: Facial landmarks are specific coordinate points (x, y) that map key features on a face. The standard model uses 68 points that outline the jawline, eyebrows, eyes, nose, and mouth. This approach has roots in traditional computer vision and is based on geometric measurements rather than pixel patterns. Based on this recent paper: [The first look: a biometric analysis of emotion recognition using key facial features](https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1554320/full) The paper used **eye-tracking on 30 participants** to scientifically determine which facial regions humans actually look at when recognizing emotions: - **Finding:** People focus primarily on the eyes (especially left eye first) and mouth - **Innovation:** Reduced the standard 68 landmarks to just **24 critical points** (eyes + mouth) Another one: Deep Learning (ResNet/CNN) - ResNet model for facial emotion recognition - Feed raw facial images → CNN processes → outputs emotion classification. submitted by /u/Savings_Load2308 [link] [comments]

Co-founder of the Center for Humane Technology, Tristan Harris, speaking with podcast host Nate Hagens about the multiple nuanced risks and promises of A.I.

*Description copied from podcast episode* **Why Safer Futures Are Still Possible & What You Can Do to Help with Tristan Harris | TGS 214** The conversation around artificial intelligence has been captured by two competing narratives – techno-abundance or civilizational collapse – both of which sidestep the question of who this technology is actually being built for. But if we consider that we are setting the initial conditions for everything that follows, we might realize that we are in a pivotal moment for AI development which demands a deeper cultural conversation about the type of future we actually want. What would it look like to design AI for the benefit of the 99%, and what are the necessary steps to make that possible? In this episode, Nate welcomes back Tristan Harris, co-founder of the Center for Humane Technology, for a wide-ranging conversation on AI futures and safety. Tristan explains how his organization pivoted from social media to AI risks after insiders at AI labs warned him in early 2023 that a dangerous step-change in capabilities was coming – and with it, risks that are orders of magnitude larger. Tristan outlines the economic and psychological consequences already unfolding under AI’s race-to-the-bottom engagement incentives, as well as the major threat categories we face: including massive wealth concentration, government surveillance, and the very real risk that humanity loses meaningful control of AI systems in critical domains. He also shares about his involvement in the new documentary, The AI Doc: Or How I Became an Apocaloptimist, and ultimately highlights the highest-leverage areas in the movement toward safer AI development. If we start seeing AI risks clearly without surrendering to despair, could we regain the power to steer toward safer technological futures? What would it mean to design AI around human wellbeing rather than engagement, attention, and profit? And can we cultivate the kind of shared cultural reckoning that makes collective action possible – before it’s too late? About Tristan Harris: Tristan is the Co-Founder of the Center for Humane Technology (CHT), a nonprofit organization whose mission is to align technology with humanity’s best interests. He is also the co-host of the top-rated technology podcast Your Undivided Attention, where he, Aza Raskin, and Daniel Barclay explore the unprecedented power of emerging technologies and how they fit into both our lives and a humane future. Previously, Tristan was a Design Ethicist at Google, and today he studies how major technology platforms wield dangerous power over our ability to make sense of the world and leads the call for systemic change. In 2020, Tristan was featured in the two-time Emmy-winning Netflix documentary The Social Dilemma. The film unveiled how social media is dangerously reprogramming our brains and human civilization. It reached over 100 million people in 190 countries across 30 languages. He regularly briefs heads of state, technology CEOs, and US Congress members, in addition to mobilizing millions of people around the world through mainstream media. Most recently, Tristan was featured in the 2026 documentary, The AI Doc: Or How I Became an Apocaloptimist, which is available in theaters on March 27th. Learn more about Tristan’s work and get involved at the Center for Humane Technology. submitted by /u/Ayla_Leren [link] [comments]

Prepare effectively for your next job interview. Prompt included.

Hello! Are you feeling overwhelmed about preparing for your upcoming job interview? It can be tough to know where to start and how to effectively showcase your skills and fit for the role. This prompt chain guides you through a structured and thorough interview preparation process, ensuring you cover all bases from analyzing the job description to generating likely questions and preparing STAR stories. Prompt: VARIABLE DEFINITIONS [JOBDESCRIPTION]=Full text of the target job description [CANDIDATEPROFILE]=Brief summary of the candidate’s background (optional but recommended) [ROLE]=The exact job title being prepared for ~ You are an expert career coach and interview-preparation consultant. Your first task is to thoroughly analyze the JOBDESCRIPTION. Step 1 – Extract and list the following in bullet form: a) Core responsibilities b) Must-have technical/functional skills c) Desired soft skills & behavioural traits d) Stated company values or culture cues Step 2 – Provide a concise 3-sentence summary of what success looks like in the ROLE. Ask: “Confirm or clarify any points before we proceed to the 7-day sprint?” Expected output structure: Bulleted lists for a-d, followed by the 3-sentence success summary. ~ Assuming confirmation, map the extracted elements to likely competency areas. 1. Create a two-column table: Column 1 = Competency Area (e.g., Leadership, Data Analysis, Stakeholder Management). Column 2 = Specific evidence or outcomes the hiring team will seek, based on JOBDESCRIPTION. 2. Under the table, list 6-8 behavioural or technical themes most likely to drive interview questions. ~ Design a 7-Day Interview-Prep Sprint Plan tailored to the ROLE and CANDIDATEPROFILE. For each Day 1 through Day 7 provide: • Daily Objective (1 sentence) • Key Tasks (3-5 bullet points, action-oriented) • Suggested Resources (articles, videos, frameworks) – keep each citation under 60 characters Ensure the workload is realistic for a busy professional (≈60–90 min/day). ~ Generate a bank of likely interview questions. 1. Provide 10-12 total questions, evenly covering the themes identified earlier. 2. Categorise each question as Technical, Behavioural, or Culture-Fit. 3. Mark the top 3 “high-impact” questions with an asterisk (*). Output as a table with columns: Question | Category | Impact Flag. ~ Create STAR story blueprints for the CANDIDATEPROFILE. For each interview question: a) Suggest an appropriate Situation and Task the candidate could use (1-2 sentences each). b) Outline key Actions to highlight (3-4 bullets). c) Specify quantifiable Results (1-2 bullets) that align with JOBDESCRIPTION success metrics. Deliver results in a three-level bullet hierarchy (S, T, A, R) for each question. ~ Draft a full Mock Interview Script. Sections: 1. Interviewer Opening & Context (≈80 words) 2. Question Round (reuse the 10 questions in logical order; leave blank lines for answers) 3. Follow-Up / Probing prompts (1 per question) 4. Post-Interview Evaluation Rubric – table with Criteria, What Great Looks Like, 1-5 rating scale 5. Candidate Self-Reflection Sheet – 5 prompts ~ Review / Refinement Ask the user to: • Verify that the sprint plan, questions, STAR stories, and script meet their needs • Highlight any areas requiring adjustment (time commitment, difficulty, tone) Offer to iterate on specific sections or regenerate any output as needed. Make sure you update the variables in the first prompt: [JOBDESCRIPTION], [CANDIDATEPROFILE], [ROLE]. Here is an example of how to use it: [Job description of a marketing manager, a candidate with 5 years of experience, Marketing Manager] If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain Enjoy! submitted by /u/CalendarVarious3992 [link] [comments]

ChatGPT vs Gemini Tendencies

I have been using Gemini and ChatGPT since 2023. I only started using the premium models last December. My first time using the free models showed that it had a lot of things right but also a lot of things wrong. For example, when I asked about specific books written by Heidegger or points he said in Sein und Zeit and he made up a lot of things, it would get the basic things generally right but when i got specific it started to invent things. Most especially evident when I ask about secondary sources for a potential RRLs. When it comes to personal questions such as views on social issues such as gender, race, religion, culture, etc, it seems that ChatGPT is more open to the personal view of the user whereas Gemini is quite sensitive even through multiple chats. Now with the premium models, on writing it seems that Gemini likes to take shortcuts and summative approach. For example I asked to outline Book 4 of Eudemian Ethics and inputted the text. Gemini made an elegant summary but missed quite a few key points whereas ChatGPT was complete albeit more on bullet form. For attempts at counseling hard experiences, ChatGPT seems to be more composed and objective though compassionate while Gemini seems to be more imposing and harsh in judging like this institution has failed you or this person is absolutely toxic. Has anyone had a similar experience in both models? Would like to hear eveyrone else's experience as to how they find their models submitted by /u/HappyMud7551 [link] [comments]

Transform your discovery call insights into a winning proposal. Prompt included.

Hello! Are you struggling with converting detailed discovery call notes into a well-structured project proposal? This prompt chain helps you streamline the process from notes to a polished proposal by guiding you through key stages - from gathering critical insights to crafting a client-ready document. Prompt: VARIABLE DEFINITIONS CALL_TRANSCRIPT=Full text or detailed notes from the discovery call COMPANY_INFO=Brief description of the proposing company, branding elements, or template preferences PROPOSAL_STYLE=Desired tone and formatting instructions (e.g., “formal business,” “concise bullets,” “narrative”) ~ You are a senior business consultant tasked with translating discovery-call insights into a clear project brief. Step 1 Read CALL_TRANSCRIPT carefully. Step 2 List key information in the following labeled bullets: – Client Objectives – Pain Points / Challenges – Success Criteria – Desired Timeline – Budget Clues (if any) – Open Questions Step 3 Add any critical information you think is missing and flag it under “Information Needed.” Step 4 Ask: “Please review and reply APPROVED or provide corrections.” Output exactly the labeled bullet list followed by the question. ~ (Triggered when user replies APPROVED) You are now a proposal architect. Using the verified details, build a structured proposal outline with these headings: 1. Project Overview 2. Scope of Work (bulleted) 3. Deliverables (bulleted) 4. Project Timeline (phases & dates) 5. Pricing Options (e.g., Fixed Fee, Milestone-based, Retainer) 6. Key Assumptions 7. Next Steps & Acceptance Place placeholder text “TBD” where information is still missing. End by asking: “Ready for full formatting? Reply FORMAT to continue or edit sections as needed.” ~ (Triggered when user replies FORMAT) Combine COMPANY_INFO and PROPOSAL_STYLE with the approved outline to create a polished, client-ready proposal. Instructions: 1. Add a professional cover page with COMPANY_INFO and project name. 2. Use PROPOSAL_STYLE for tone and layout (headings, bullets, tables if helpful). 3. Expand each outline section into clear, persuasive language. 4. Insert a signature / acceptance area at the end. 5. Ensure consistency, correct spelling, and clean formatting. Output the complete proposal ready to send to the client. ~ Review / Refinement Ask the user to confirm that the proposal meets expectations or specify additional tweaks. If tweaks are requested, loop back to the relevant step while retaining context. Make sure you update the variables in the first prompt: CALL_TRANSCRIPT, COMPANY_INFO, PROPOSAL_STYLE, Here is an example of how to use it: CALL_TRANSCRIPT = "The client wants a marketing strategy that includes social media outreach." COMPANY_INFO = "ACME Corp specializes in innovative tech solutions." PROPOSAL_STYLE = "formal business" If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain Enjoy! submitted by /u/CalendarVarious3992 [link] [comments]

Generating a complete and comprehensive business plan. Prompt chain included.

Hello! If you're looking to start a business, help a friend with theirs, or just want to understand what running a specific type of business may look like check out this prompt. It starts with an executive summary all the way to market research and planning. Prompt Chain: BUSINESS=[business name], INDUSTRY=[industry], PRODUCT=[main product/service], TIMEFRAME=[5-year projection] Write an executive summary (250-300 words) outlining BUSINESS's mission, PRODUCT, target market, unique value proposition, and high-level financial projections.~Provide a detailed description of PRODUCT, including its features, benefits, and how it solves customer problems. Explain its unique selling points and competitive advantages in INDUSTRY.~Conduct a market analysis: 1. Define the target market and customer segments 2. Analyze INDUSTRY trends and growth potential 3. Identify main competitors and their market share 4. Describe BUSINESS's position in the market~Outline the marketing and sales strategy: 1. Describe pricing strategy and sales tactics 2. Explain distribution channels and partnerships 3. Detail marketing channels and customer acquisition methods 4. Set measurable marketing goals for TIMEFRAME~Develop an operations plan: 1. Describe the production process or service delivery 2. Outline required facilities, equipment, and technologies 3. Explain quality control measures 4. Identify key suppliers or partners~Create an organization structure: 1. Describe the management team and their roles 2. Outline staffing needs and hiring plans 3. Identify any advisory board members or mentors 4. Explain company culture and values~Develop financial projections for TIMEFRAME: 1. Create a startup costs breakdown 2. Project monthly cash flow for the first year 3. Forecast annual income statements and balance sheets 4. Calculate break-even point and ROI~Conclude with a funding request (if applicable) and implementation timeline. Summarize key milestones and goals for TIMEFRAME. Make sure you update the variables section with your prompt. You can copy paste this whole prompt chain into the ChatGPT Queue extension to run autonomously, so you don't need to input each one manually (this is why the prompts are separated by ~). At the end it returns the complete business plan. Enjoy! submitted by /u/CalendarVarious3992 [link] [comments]

New features that OpenAI will bring to ChatGPT.

submitted by /u/Distinct_Fox_6358 [link] [comments]