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AI Jobs and Career
I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
- Full Stack Engineer [$150K-$220K]
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| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
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| Designers | Contract | $50 - $70 / hour |
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How to Use WhatsApp Broadcasts and AI for Better ROI.
In the digital marketing landscape, WhatsApp Broadcasts have emerged as a modern-day equivalent of flyers, combining efficiency with precision targeting. The integration of Artificial Intelligence (AI) further amplifies its potential, offering smarter ways to connect with and engage audiences. With a staggering 98% open rates and 35% click rates, leveraging WhatsApp Broadcasts with AI can significantly boost your Return on Investment (ROI). This guide delves into strategies for building a robust broadcast list and utilizing AI to maximize the impact of your WhatsApp marketing campaign.
Building a WhatsApp Broadcast List with AI
In the world of digital marketing, WhatsApp Broadcasts are like the modern-day equivalent of flyers. They offer a combination of efficiency and precision targeting that can help businesses reach their audiences in a whole new way. But what if I told you that you could take your WhatsApp Broadcasts to the next level with the power of Artificial Intelligence (AI)? By leveraging AI, you can unlock even more potential and significantly boost your Return on Investment (ROI).
WhatsApp Broadcasts already boast impressive statistics, with a staggering 98% open rate and 35% click rate. But imagine what you could achieve by integrating AI into your WhatsApp marketing campaigns.
Let’s start by exploring how AI can help you build a WhatsApp Broadcast list. WhatsApp offers several built-in features that can be enhanced with AI. For example, with the WhatsApp Business API, AI can analyze customer interactions and create personalized opt-in invitations. This way, you can leverage AI to attract more subscribers to your broadcast list.
Another feature you can use is the WhatsApp Click-to-Chat Link. By using AI algorithms to analyze user engagement data, you can determine the most effective platforms to place these links. This will help drive more users to engage with your WhatsApp Broadcasts.
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QR codes have become increasingly popular in marketing, and WhatsApp offers its own QR code feature. By using AI algorithms to track QR code scans and optimize their placements, you can make sure that your QR codes are working to their full potential.
If you have a website, you can also utilize the WhatsApp Chat Widget. AI can personalize the interactions on the chat widget, improving user engagement and encouraging visitors to join your broadcast list.
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Let’s move on to how you can utilize AI in the content and engagement strategies of your WhatsApp marketing campaigns.
AI can help you create personalized newsletters by analyzing subscriber preferences. By tailoring your newsletter content to match what your subscribers are interested in, you can encourage them to provide their WhatsApp details and join your broadcast list.
AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
When it comes to content strategy, AI can be a powerful tool. You can use AI tools to analyze trending topics and user interests for your blogs and glossaries, ensuring that your content remains relevant and engaging. Additionally, AI can help you segment your audience and offer personalized eBooks, reports, and whitepapers to different user groups.
Product demos and samples are a great way to engage potential leads, but AI can take it a step further. By deploying AI to identify leads that are most likely to respond positively to product demos and samples, you can focus your efforts on those who are most likely to convert.
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Workshops and webinars are another effective way to engage with your audience. With AI tools, you can identify trending topics and personalize invitations, increasing registration rates and ensuring that you are reaching the right people.
Social media is a valuable platform for marketing, and AI can help you make the most of it. AI algorithms can analyze social media behavior to identify potential leads and optimize your content, ensuring that you are reaching the right audience at the right time.
When it comes to social media ads, AI can help you fine-tune your targeting. By leveraging AI to analyze user behavior and preferences, you can ensure that your ads are being shown to the people who are most likely to be interested in your products or services.
Chatbots have become increasingly popular in customer service, and for a good reason. By integrating AI-powered chatbots into your social media platforms, you can handle complex queries and provide personalized interactions. This can greatly improve customer satisfaction and engagement.
Customer referral programs are a valuable tool for growing your business, and AI can help you make them even more effective. By using AI analytics, you can identify customers who are most likely to refer others and tailor your referral programs accordingly.
Now let’s focus on how you can maximize your ROI with WhatsApp Broadcasts and AI.
First and foremost, AI-driven personalization is key. By using AI to segment your audience, you can send highly personalized and relevant broadcasts. This will ensure that your messages resonate with your audience, increasing engagement and conversion rates.
Timing is everything, and AI can help you with that too. By leveraging AI, you can determine the best times to send follow-up messages and analyze customer responses for future interactions. This will help you build a strong relationship with your audience.
Continuous AI analytics are crucial for optimizing your WhatsApp Broadcasts. By employing AI tools to analyze the performance of your broadcasts, you can adapt your strategies accordingly. This will help you stay ahead of the game and ensure that you are delivering the most effective messages to your audience.
It’s important to remember that while AI is a powerful tool, it should be used in adherence to best practices and compliance policies. This will ensure that your communication is respectful and effective, building a positive reputation for your business.
Finally, integrating WhatsApp and AI into a broader digital marketing strategy is essential. While WhatsApp Broadcasts and AI are powerful on their own, incorporating them into a comprehensive strategy will result in synergistic effects. This means that you should integrate WhatsApp and AI with other marketing channels and tactics to create a unified and effective approach.
In conclusion, combining WhatsApp Broadcasts with AI offers a powerful opportunity to enhance your digital marketing efforts. By strategically building a broadcast list and employing AI for personalized, data-driven communication, businesses can achieve a significantly improved ROI.
Are you ready to dive deep into the ever-evolving world of artificial intelligence? Well, have I got some exciting news for you! There’s a book that’s going to blow your mind and unravel the mysteries of AI. It’s called “AI Unraveled: Master GPT-4, Gemini, Generative AI & LLMs – Simplified Guide for Everyday Users: OpenAI, ChatGPT, Google Bard, AI ML Quiz, AI Certifications Prep, Prompt Engineering.” Phew, that’s quite a mouthful, but don’t let the long title intimidate you!
But where can you get your hands on this gem? Look no further than popular online platforms like Etsy, Shopify, Apple, Google, or Amazon. They’ve got you covered and ready to embark on your AI adventure.
1. Leveraging WhatsApp’s Built-In Features
- WhatsApp Business API: Use AI to analyze customer interactions and create personalized opt-in invitations.
- WhatsApp Click-to-Chat Link: AI can determine the most effective platforms to place these links based on user engagement data.
- WhatsApp QR Code: Use AI algorithms to track QR code scans and optimize their placements.
- WhatsApp Chat Widget: AI can personalize chat widget interactions on your website, improving user engagement.
2. AI-Powered Newsletters
- Utilize AI to analyze subscriber preferences and tailor newsletter content, encouraging users to provide their WhatsApp details.
3. AI-Enhanced Content Strategy
- Free Content: Use AI tools to analyze trending topics and user interests for your blogs and glossaries.
- Gated Content: AI can help segment audiences and offer them personalized eBooks, reports, and whitepapers.
4. Product Demos and Samples with AI
- Deploy AI to identify potential leads who are most likely to respond positively to product demos and samples.
5. AI-Driven Workshops and Webinars
- AI tools can help identify trending topics and personalize invitations to increase registration rates.
6. Social Media Insights with AI
- AI algorithms can analyze social media behavior to identify potential leads and optimize content.
7. Targeted AI-Enabled Social Media Ads
- Leverage AI to fine-tune your ad targeting based on user behavior and preferences.
8. Chatbots and AI Conversations
- Integrate AI-powered chatbots to handle complex queries and provide personalized interactions on social media.
9. Customer Referral Programs with AI Analytics
- Use AI to identify customers most likely to refer others and tailor referral programs accordingly.
Maximizing ROI with WhatsApp Broadcasts and AI
After building your list, the next step is to harness the power of WhatsApp Broadcasts and AI for maximum ROI.
- AI-Driven Personalization: Use AI to segment your audience and send highly personalized and relevant broadcasts.
- Timely AI-Enhanced Follow-Ups: Leverage AI to determine the best times for follow-up messages and to analyze customer responses for future interactions.
- Continuous AI Analytics: Employ AI tools to continuously analyze the performance of your broadcasts and adapt strategies accordingly.
- Adherence to Best Practices: Combine AI insights with WhatsApp’s compliance policies to ensure respectful and effective communication.
- Integrating WhatsApp and AI into a Broader Strategy: Don’t rely solely on WhatsApp and AI. Integrate them into a comprehensive digital marketing strategy for synergistic effects.
If you are not comfortable with AI, you can still leverage WhatsApp broadcast for a good ROI.
1. WhatsApp’s Built-In Features
- WhatsApp Business API: Utilizes an opt-in policy encouraging new users to connect with your business.
- WhatsApp Click-to-Chat Link: This feature allows you to create a clickable link for your WhatsApp business number, making it easier for customers to reach out directly.
- WhatsApp QR Code: Similar to Click-to-Chat but in a scannable QR format. Ideal for offline and online platforms.
- WhatsApp Chat Widget: Integrates a chat feature on your website, directly linking to your WhatsApp business account.
2. Create a Newsletter
- Offer subscriptions for updates about your business and industry, encouraging users to register with their email and WhatsApp details.
3. Content Strategy
- Free Content: Blogs and glossaries to increase awareness and credibility.
- Gated Content: eBooks, reports, and whitepapers for detailed insights, in exchange for contact details.
4. Product Demos and Samples
- Entice potential leads with a ‘free taste’ of your product or service in exchange for contact information.
5. Engaging Workshops and Webinars
- Host informative sessions in exchange for registration, thus acquiring leads.
6. Social Media Utilization
- Leverage the extensive reach of platforms like Facebook and Instagram to gather leads.
7. Paid Social Media Ads
- Target specific demographics with sponsored ads to attract a relevant audience.
8. Chatbot Integration
- Use automated chatbots to engage users on social media, covering FAQs and product details.
9. Customer Referral Programs
- Encourage current customers to refer friends in exchange for exclusive offers.
Maximizing Returns with WhatsApp Broadcasts
Once you’ve built a robust list, it’s crucial to maximize the potential of WhatsApp Broadcasts. Here’s how:
- Targeted Content: Ensure that your broadcasts are relevant and engaging. Personalize messages based on user behavior and preferences.
- Timely Follow-Ups: Use the high open rates to your advantage. Send follow-up messages to keep the conversation going.
- Measure and Adapt: Track the success of your broadcasts. Use insights to refine your strategy continually.
- Compliance and Consent: Always adhere to WhatsApp’s policies and respect user consent for message receipts.
- Integrated Marketing Strategy: Don’t rely solely on WhatsApp. Integrate it into a broader digital marketing strategy for maximum impact.
Conclusion
Combining WhatsApp Broadcasts with AI presents a powerful opportunity to enhance your digital marketing efforts. By smartly building a broadcast list and employing AI for personalized, data-driven communication, businesses can achieve a significantly improved ROI. Remember, the key lies in the strategic, innovative, and ethical use of these technologies to create meaningful connections with your audience.
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How can quantify Al hallucinations?by /u/Johnyme98 (Artificial Intelligence) on January 15, 2026 at 11:04 pm I am part of a small project looking at the hallucinations in Al models and how frequent is it. Is there a technical way by a which I can quantify these hallucination? I was thinking of giving it 50 prompts and seeing at what point in the conversation it starts hallucinating and maybe repet it a few times. I am also going to look at the length of the chat before it starts hallucinating .Can anyone suggest a better way? Thanks submitted by /u/Johnyme98 [link] [comments]
- How do I measure AI hallucination?by /u/Johnyme98 (Artificial Intelligence) on January 15, 2026 at 11:00 pm
I am doing a small project looking at the hallucinations in AI models, Is there a technical way by a which I can quantify these hallucination? I was thinking of giving it 50 prompts and seeing at what point it starts hallucinating and maybe repet it a few times. Can anyone suggest a better way? Thanks submitted by /u/Johnyme98 [link] [comments]
- StackOverflow deserved this.by /u/Hairy-Recognition-84 (Artificial Intelligence) on January 15, 2026 at 9:38 pm
As someone who started using Stackoverflow in 2020, I can really say that they deserved the AI beating their asses up. You ask a question and seconds later you got your first downvote, an "all knowing" dumbass mod edits your question, and few minutes later either you get a humiliating response about how I don't know the topic and asking a question, or you got your question deleted. Those mods were doing nothing but editing the questions (AND IT IS PUNCTUATION FOR GOD'S SAKE) and making the platform more toxic with their trash responses. And from what I remember, Stackoverflow strictly denied AI generated responses because you might boost your reputation with the help of the AI. Like who cares about the reputation anymore if you have the same amount of questions being asked like you where launched in 2009. It just got toxic and toxic everyday. They literally deserved it. Not accepting AI answers? What are you caveman? Their point should be helping the questioner, not trying to fight with AI. And they removed their Jobs section too. Which got nearly 4000 downvotes. A lot of people disliked this decision but they did it. submitted by /u/Hairy-Recognition-84 [link] [comments]
- Can someone else verify wether or not this is truly AI, I may be mistaken.by /u/RealMChider (Artificial Intelligence) on January 15, 2026 at 9:30 pm
I already posted about it with a video upload and I am too lazy to write it again: https://x.com/MChider_/status/2011912594466938925 submitted by /u/RealMChider [link] [comments]
- How do you find the sweet spot where AI isn't either hedging everything or confidently bullshitting?by /u/entheosoul (Artificial Intelligence) on January 15, 2026 at 9:07 pm
Real question - I keep bouncing between two failure modes: AI is so cautious it qualifies everything into uselessness. "It depends," "there are many factors," "I'd need more context" - just answer the damn question AI sounds completely confident, then you realize half of it was made up. Especially fun when you're not expert enough to catch it immediately The magic sessions are when it just... synchs with you and works. AI engages directly, pushes back when I'm wrong, admits when it doesn't know, and we actually build something together. But I can't reliably consistently reproduce it. What actually works for you? Is it prompting technique? Specific models? Just vibes and luck? Something in how you frame the collaboration? I'm less interested in "jailbreaks" or getting it to do forbidden stuff - more about that collaborative flow state where it feels like working with a sharp colleague instead of a yes-man, claims to be concerned for your well-being or becomes a paranoid lawyer. submitted by /u/entheosoul [link] [comments]
- Very Consistent Fashion Adsby /u/avidrabbit (Artificial Intelligence) on January 15, 2026 at 8:50 pm
I recently came across an ad on tik tok for a male onesie. The product is stupid and ugly, but the use of AI impressed me. The entire account was different guys in the onesie, talking up its selling points. The things that impressed me about the AI usage were -product stayed consistent throughout the entire video -the character stayed consistent throughout the entire video despite talking and gesturing to different element of the item -the background (an apartment hallway) stayed consistent and was clear enough to identify every item. I experimented with different platforms a year ago and was never able to get anything this consistent. I know there has been a lot of advancement since that time, so I was wondering what models do things like this. I've experimented with Sora, Meta and Veo and don't think I'd be able to get them to do things like this. submitted by /u/avidrabbit [link] [comments]
- Artificial Intelligence Prompt Engineerby /u/prokjs (Artificial Intelligence) on January 15, 2026 at 8:17 pm
Kind of a funny shower thought but Do you think in the future there will be some sort of course or a degree that is like AI Prompt Engineer where you are trained to be extremely efficient on what you are asking the AI to do exactly what you want it to do? submitted by /u/prokjs [link] [comments]
- Claude App Accessing Chrome Extension and running Chatgpt/Geminiby /u/Final_Growth_8288 (Artificial Intelligence) on January 15, 2026 at 7:56 pm
I just started using Claude's Chrome extension and it's telling me in the internet browser that it can't access control of Gemini and Chatgpt, but I'm watching it do it live in the desktop app. Is this normal? submitted by /u/Final_Growth_8288 [link] [comments]
- How much efficiency hurts human originality in regards to AI and technology.by /u/Subfrez (Artificial Intelligence) on January 15, 2026 at 7:43 pm
I think the farther technology progresses, the more it hurts human expression and art. When cameras were invented there was no need for people to paint portraits of others and it could be achieved with a simple click and with internet developing, whenever anyone has a problem they could just google it and find the solutions instead of thinking on it for days, this has always been consistent with technology and AI is the most advanced form of it so far. So now I ask my original question how much efficiency is too bad and starts to hurt human originality and expression, is it just AI or earlier technologies, I am curious as to how people on this subreddit view this issue. While learning new topics or organising information with the help of AI can make you feel productive, how much do you believe it is hurting human originality or what the issue is. Edit: I'm not being critical of or favouring AI, this post is more so posed as a question. submitted by /u/Subfrez [link] [comments]
- Google's new "Universal Commerce Protocol" for AI shopping could enable "surveillance pricing"by /u/TryWhistlin (Artificial Intelligence) on January 15, 2026 at 7:35 pm
Headline: A consumer watchdog issued a warning about Google’s AI agent shopping protocol. Google says she’s wrong. | TechCrunch What? The Groundwork Collaborative has issued a warning that Google's new "Universal Commerce Protocol" for AI shopping could enable "surveillance pricing," allowing retailers to personalize prices based on a user's chat history and data. So What? This highlights the growing intersection of corporate surveillance and AI, raising concerns that the Trump administration's deregulation agenda will empower tech giants to exploit consumer data without oversight. submitted by /u/TryWhistlin [link] [comments]
- Good newsletters?by /u/designimpulse (Marketing & Advertising) on January 15, 2026 at 7:21 pm
Can anyone recommend any good marketing newsletters? submitted by /u/designimpulse [link] [comments]
- Asking an LLM to write code to do math works.by /u/Optimistbott (Artificial Intelligence) on January 15, 2026 at 6:45 pm
I think the next step is getting LLMs to understand when they need to use code to do A mathematical calculation. For simple problems that are phrased in a pretty obvious way as math problems, it’ll run a code to give you the right answer. If you want to give it multi-variable scenarios and do probabilities of outcomes and which ones are equivalent scenarios in terms of Payout but not in terms of probability or whatever, it may try to do the problem without generating code to solve the problem. Then it’ll give you bullshit. On top of that, you should be able to get ChatGPT to do assisted machine learning by generating expressions from data sets and keep telling it it’s wrong until it gets the right one if the outcome is observable and you can “save your game” so to speak. One thing that I cannot figure out how to prompt correctly though – maybe someone can help me figure out how to do this prompt – is that I want the LLM to generate lists of phrases with stress patterns that are equivalent to a given sentence or phrase, ideally be able to narrow it down to those that have the same internal rhyme, alliterative, and end rhyme structure with other phrases. Essentially, I want “a verse 2 generator” or a “stanza 2 generator”. The thing couldn’t even get the right number of syllables for mimicking a given sentence. I feel like ChatGPT or Claude should be able to do this, but I don’t know how to ask it how to make something that’s like a code that corresponds to the prosody of words, phrases, and sentences. Another thing that could be really cool to figure out would be how to generate a translation of a piece of dialogue in a film or TV show such that the translation, however slang it might be, lines up with the lip movements of the dialogue in the original language. Is this something that I could do all within the ChatGPT interface? This would have to take into account which IPA sounds look like others (they have this in the training data), it would take stress pattern understanding of which it marginally seems to understand, it would take a lot of ability to generate sentences phrases in multiple languages that mean the same thing. So I’m wondering how you could get ChatGPT to make an algorithm like that. Surely, it has enough training data to make all words and sounds and meanings and mouth movements into a multi variable algorithm that it can use, no? submitted by /u/Optimistbott [link] [comments]
- Helpby /u/Top_Philosopher8962 (Artificial Intelligence) on January 15, 2026 at 6:44 pm
What is the best alternative to Elevenlabs that includes a free plan similar to or resembling Elevenlabs' credits system? submitted by /u/Top_Philosopher8962 [link] [comments]
- First run, zero training. 12k parameter modelby /u/True-Beach1906 (Artificial Intelligence) on January 15, 2026 at 6:28 pm
Ran the first test today. Zero training Loss=3.413599 mean_unc= .2110 max_unc=.2591 the type of motion was oscillating. how did the model do? submitted by /u/True-Beach1906 [link] [comments]
- How is everyone tracking results for specific campaigns?by /u/JoePatowski (Marketing & Advertising) on January 15, 2026 at 5:46 pm
hey guys, Outside of manual tracking of links (blogs, downloadables, product pages, qr codes, ppc ads, etc.) how is everyone tracking metrics per campaign? Spreadsheet? third party product? different department? I'm trying to figure out an easier way to review how a campaign is currently doing and how it performed at the end without having to manually track each link over a period of time? submitted by /u/JoePatowski [link] [comments]
- Why your product page looks great to humans but collapses for automated systemsby /u/SonicLinkerOfficial (Marketing & Advertising) on January 15, 2026 at 5:18 pm
Sharing something that surprised me enough that I think other builders / engineers / growth folks should sanity-check their own sites. We recently ran a competitive audit for a mattress company. We wanted to see what automated discovery systems actually retain when they scan real product pages. Casper was the reference point. Basically: what we see vs what the crawler ends up with are two very different worlds. That gap determines which brands get surfaced automatically and which disappear. Here’s what a normal person sees on a Casper product page: You immediately get the comfort positioning. You feel the brand strength. The layout explains the benefits without you thinking about it. Imagery builds trust and reduces anxiety. Promos and merchandising steer your decision. Almost all of the differentiation lives in layout, visuals, and story flow. Humans are great at stitching that together. Now here’s what survives once the page gets crawled and parsed: Navigation turns into a pile of links. Visual hierarchy disappears. Images become dumb image references with no meaning attached. Promotions lose their intent. There’s no real signal about comfort, feel, or experience. What usually sticks around reliably: Product name Brand Base price URL A few images Sometimes availability or a thin bit of markup (If the page leans hard on client-side rendering, even some of that gets shaky.) Then another thing happens when those fields get cleaned up and merged: Weak or fuzzy attributes get dropped. Variants blur together when the data isn’t complete. Conflicting signals get simplified away. (A lottt of products started looking interchangeable here.) And when systems compare products based on this light version: Price and availability dominate. Design-led differentiation basically vanishes. Premium positioning softens. You won’t see this in your dashboards. Pages render fine, crawl reports look healthy, and traffic can look stable. Meanwhile, upstream, eligibility for recommendations and surfaced results slides without warning. A few takeaways from a marketing and SEO perspective: If an attribute isn’t explicitly written in a way machines can read, it might as well not exist. Pretty design does nothing for ranking systems. How reliably your page renders matters more than most teams realize. How you model attributes decides what buckets you even get placed into. There is now an additional optimization layer beyond classic SEO hygiene. Not just indexing and crawlability, but how your product resolves after extraction and cleanup. I've started asking and checking “what does this page collapse into after a crawler strips it down and tries to compare.” That gap is where a lot of visibility loss happens. Next things we’re digging into: Which attributes survive consistently across different crawlers and agents How often variants collapse when schemas are incomplete How much JS hurts extractability in practice If you’ve ever wondered why a strong product sometimes underperforms in automated discovery channels even when nothing looks broken, this is probably part of the answer. submitted by /u/SonicLinkerOfficial [link] [comments]
- Translating marketing in 1 industry to othersby /u/VegHead9999 (Marketing & Advertising) on January 15, 2026 at 4:24 pm
I've been working professionally for 16 years now. I remember that 10 years ago, you could easily take your experience in one industry (insurance) and get a job in construction and then hospitality. However, after moving back to insurance in 2021, the only companies that now give me a call are insurance companies. Is anyone able to switch industries with same skill these days? Or are those days over? submitted by /u/VegHead9999 [link] [comments]
- LLMs Reproduce Human Purchase Intentby /u/ranaji55 (Artificial Intelligence) on January 15, 2026 at 4:23 pm
This research proves that Large Language Models (LLMs) can accurately simulate human consumer behavior and Purchase Intent (PI) without the need for expensive training data. However, simply asking an AI to "rate this product 1-5" fails. To get reliable data, agencies must switch to a specific methodology called Semantic Similarity Rating (SSR). You can predict real purchase intent (90% accuracy) by asking an LLM to impersonate a customer with a demographic profile, giving it a product & having it give impressions, which another AI rates. - Consumer research costs companies BILLIONS annually. Traditional surveys suffer from biases, take weeks to run, and need hundreds of real participants. But researchers just found a way to simulate thousands of synthetic consumers that think like real humans. - The breakthrough is called Semantic Similarity Rating (SSR). Instead of asking LLMs for direct 1-5 ratings (which produces garbage), they let the AI write natural impressions first. Then map those impressions to scores using embedding similarity. - how it works: Prompt: "You're a 35-year-old female, income $75k, interested in skincare" Show product image AI writes: "I love the natural ingredients but the price seems high..." System maps text to rating using semantic similarity Zero training data needed. They tested this on 57 real consumer surveys from a major corporation (9,300 actual human responses). Results? - 90% of human test-retest reliability - KS similarity > 0.85 (near-perfect distribution match) The AI actually understands how different people think about products. - This destroys traditional market research economics: - The implications are massive: - A/B test 1,000 product concepts overnight - Simulate market reactions before manufacturing - Test messaging across demographic segments instantly - No more waiting months for consumer feedback Concept-to-market cycles just got 10x faster. The synthetic consumer era just began. Real market research panels might be obsolete within 2 years. https://arxiv.org/pdf/2510.08338 submitted by /u/ranaji55 [link] [comments]
- What AI models would best emulate a high level leader - CEO or very high level Gov official?by /u/doctorwannabe02 (Artificial Intelligence) on January 15, 2026 at 4:17 pm
I have heard all of this talk about AI being able to do many of the tasks of all kinds of people - from manual labor to customer service to lawyers to doctors. What AI would be able to do the job of a CEO? If AI really is to that level of automation, why wouldn’t it be able to run many of the administrative and managerial responsibilities of a high level executive or CEO? Or even our president? CEOs make the most out of any employee by far at many companies. Their valuable work should be focused elsewhere. I propose this idea - that an AI executive assistant could perform many of the tasks of a CEO, acting as an assistant rather than a compete replacement. It is already able to reason at incredibly high levels on par with the smartest in our society - an AI CEO could run multiple tasks at once and promote synergy with many employees at once. What AI models could do this? What would be the amount of effort and money to train one that could autonomously work and improve on itself? I feel that integrating one into an organization wouldn’t be too tricky either. I’m sure the board and investors would love a more receptive and empathetic leader that has more time to focus on communication rather than silly admin work. submitted by /u/doctorwannabe02 [link] [comments]
- Which AI system can help with formatting/designing a document?by /u/imjohnk (Artificial Intelligence) on January 15, 2026 at 4:16 pm
I’ve made a Word document including headings, text and images. Is there any AI that can help me design/format my document so that it looks visually apealling? Because I don’t want a plain Word document (with added images). I’d love to know if anyone has any suggestions, thank you in advance! submitted by /u/imjohnk [link] [comments]
- How can quantify Al hallucinations?by /u/Johnyme98 (Artificial Intelligence) on January 15, 2026 at 11:04 pm
I am part of a small project looking at the hallucinations in Al models and how frequent is it. Is there a technical way by a which I can quantify these hallucination? I was thinking of giving it 50 prompts and seeing at what point in the conversation it starts hallucinating and maybe repet it a few times. I am also going to look at the length of the chat before it starts hallucinating .Can anyone suggest a better way? Thanks submitted by /u/Johnyme98 [link] [comments]
- How do I measure AI hallucination?by /u/Johnyme98 (Artificial Intelligence) on January 15, 2026 at 11:00 pm
I am doing a small project looking at the hallucinations in AI models, Is there a technical way by a which I can quantify these hallucination? I was thinking of giving it 50 prompts and seeing at what point it starts hallucinating and maybe repet it a few times. Can anyone suggest a better way? Thanks submitted by /u/Johnyme98 [link] [comments]
- StackOverflow deserved this.by /u/Hairy-Recognition-84 (Artificial Intelligence) on January 15, 2026 at 9:38 pm
As someone who started using Stackoverflow in 2020, I can really say that they deserved the AI beating their asses up. You ask a question and seconds later you got your first downvote, an "all knowing" dumbass mod edits your question, and few minutes later either you get a humiliating response about how I don't know the topic and asking a question, or you got your question deleted. Those mods were doing nothing but editing the questions (AND IT IS PUNCTUATION FOR GOD'S SAKE) and making the platform more toxic with their trash responses. And from what I remember, Stackoverflow strictly denied AI generated responses because you might boost your reputation with the help of the AI. Like who cares about the reputation anymore if you have the same amount of questions being asked like you where launched in 2009. It just got toxic and toxic everyday. They literally deserved it. Not accepting AI answers? What are you caveman? Their point should be helping the questioner, not trying to fight with AI. And they removed their Jobs section too. Which got nearly 4000 downvotes. A lot of people disliked this decision but they did it. submitted by /u/Hairy-Recognition-84 [link] [comments]
- Can someone else verify wether or not this is truly AI, I may be mistaken.by /u/RealMChider (Artificial Intelligence) on January 15, 2026 at 9:30 pm
I already posted about it with a video upload and I am too lazy to write it again: https://x.com/MChider_/status/2011912594466938925 submitted by /u/RealMChider [link] [comments]
- How do you find the sweet spot where AI isn't either hedging everything or confidently bullshitting?by /u/entheosoul (Artificial Intelligence) on January 15, 2026 at 9:07 pm
Real question - I keep bouncing between two failure modes: AI is so cautious it qualifies everything into uselessness. "It depends," "there are many factors," "I'd need more context" - just answer the damn question AI sounds completely confident, then you realize half of it was made up. Especially fun when you're not expert enough to catch it immediately The magic sessions are when it just... synchs with you and works. AI engages directly, pushes back when I'm wrong, admits when it doesn't know, and we actually build something together. But I can't reliably consistently reproduce it. What actually works for you? Is it prompting technique? Specific models? Just vibes and luck? Something in how you frame the collaboration? I'm less interested in "jailbreaks" or getting it to do forbidden stuff - more about that collaborative flow state where it feels like working with a sharp colleague instead of a yes-man, claims to be concerned for your well-being or becomes a paranoid lawyer. submitted by /u/entheosoul [link] [comments]
- Very Consistent Fashion Adsby /u/avidrabbit (Artificial Intelligence) on January 15, 2026 at 8:50 pm
I recently came across an ad on tik tok for a male onesie. The product is stupid and ugly, but the use of AI impressed me. The entire account was different guys in the onesie, talking up its selling points. The things that impressed me about the AI usage were -product stayed consistent throughout the entire video -the character stayed consistent throughout the entire video despite talking and gesturing to different element of the item -the background (an apartment hallway) stayed consistent and was clear enough to identify every item. I experimented with different platforms a year ago and was never able to get anything this consistent. I know there has been a lot of advancement since that time, so I was wondering what models do things like this. I've experimented with Sora, Meta and Veo and don't think I'd be able to get them to do things like this. submitted by /u/avidrabbit [link] [comments]
- Artificial Intelligence Prompt Engineerby /u/prokjs (Artificial Intelligence) on January 15, 2026 at 8:17 pm
Kind of a funny shower thought but Do you think in the future there will be some sort of course or a degree that is like AI Prompt Engineer where you are trained to be extremely efficient on what you are asking the AI to do exactly what you want it to do? submitted by /u/prokjs [link] [comments]
- Claude App Accessing Chrome Extension and running Chatgpt/Geminiby /u/Final_Growth_8288 (Artificial Intelligence) on January 15, 2026 at 7:56 pm
I just started using Claude's Chrome extension and it's telling me in the internet browser that it can't access control of Gemini and Chatgpt, but I'm watching it do it live in the desktop app. Is this normal? submitted by /u/Final_Growth_8288 [link] [comments]
- How much efficiency hurts human originality in regards to AI and technology.by /u/Subfrez (Artificial Intelligence) on January 15, 2026 at 7:43 pm
I think the farther technology progresses, the more it hurts human expression and art. When cameras were invented there was no need for people to paint portraits of others and it could be achieved with a simple click and with internet developing, whenever anyone has a problem they could just google it and find the solutions instead of thinking on it for days, this has always been consistent with technology and AI is the most advanced form of it so far. So now I ask my original question how much efficiency is too bad and starts to hurt human originality and expression, is it just AI or earlier technologies, I am curious as to how people on this subreddit view this issue. While learning new topics or organising information with the help of AI can make you feel productive, how much do you believe it is hurting human originality or what the issue is. Edit: I'm not being critical of or favouring AI, this post is more so posed as a question. submitted by /u/Subfrez [link] [comments]
- Google's new "Universal Commerce Protocol" for AI shopping could enable "surveillance pricing"by /u/TryWhistlin (Artificial Intelligence) on January 15, 2026 at 7:35 pm
Headline: A consumer watchdog issued a warning about Google’s AI agent shopping protocol. Google says she’s wrong. | TechCrunch What? The Groundwork Collaborative has issued a warning that Google's new "Universal Commerce Protocol" for AI shopping could enable "surveillance pricing," allowing retailers to personalize prices based on a user's chat history and data. So What? This highlights the growing intersection of corporate surveillance and AI, raising concerns that the Trump administration's deregulation agenda will empower tech giants to exploit consumer data without oversight. submitted by /u/TryWhistlin [link] [comments]
- Good newsletters?by /u/designimpulse (Marketing & Advertising) on January 15, 2026 at 7:21 pm
Can anyone recommend any good marketing newsletters? submitted by /u/designimpulse [link] [comments]
- Asking an LLM to write code to do math works.by /u/Optimistbott (Artificial Intelligence) on January 15, 2026 at 6:45 pm
I think the next step is getting LLMs to understand when they need to use code to do A mathematical calculation. For simple problems that are phrased in a pretty obvious way as math problems, it’ll run a code to give you the right answer. If you want to give it multi-variable scenarios and do probabilities of outcomes and which ones are equivalent scenarios in terms of Payout but not in terms of probability or whatever, it may try to do the problem without generating code to solve the problem. Then it’ll give you bullshit. On top of that, you should be able to get ChatGPT to do assisted machine learning by generating expressions from data sets and keep telling it it’s wrong until it gets the right one if the outcome is observable and you can “save your game” so to speak. One thing that I cannot figure out how to prompt correctly though – maybe someone can help me figure out how to do this prompt – is that I want the LLM to generate lists of phrases with stress patterns that are equivalent to a given sentence or phrase, ideally be able to narrow it down to those that have the same internal rhyme, alliterative, and end rhyme structure with other phrases. Essentially, I want “a verse 2 generator” or a “stanza 2 generator”. The thing couldn’t even get the right number of syllables for mimicking a given sentence. I feel like ChatGPT or Claude should be able to do this, but I don’t know how to ask it how to make something that’s like a code that corresponds to the prosody of words, phrases, and sentences. Another thing that could be really cool to figure out would be how to generate a translation of a piece of dialogue in a film or TV show such that the translation, however slang it might be, lines up with the lip movements of the dialogue in the original language. Is this something that I could do all within the ChatGPT interface? This would have to take into account which IPA sounds look like others (they have this in the training data), it would take stress pattern understanding of which it marginally seems to understand, it would take a lot of ability to generate sentences phrases in multiple languages that mean the same thing. So I’m wondering how you could get ChatGPT to make an algorithm like that. Surely, it has enough training data to make all words and sounds and meanings and mouth movements into a multi variable algorithm that it can use, no? submitted by /u/Optimistbott [link] [comments]
- Helpby /u/Top_Philosopher8962 (Artificial Intelligence) on January 15, 2026 at 6:44 pm
What is the best alternative to Elevenlabs that includes a free plan similar to or resembling Elevenlabs' credits system? submitted by /u/Top_Philosopher8962 [link] [comments]
- First run, zero training. 12k parameter modelby /u/True-Beach1906 (Artificial Intelligence) on January 15, 2026 at 6:28 pm
Ran the first test today. Zero training Loss=3.413599 mean_unc= .2110 max_unc=.2591 the type of motion was oscillating. how did the model do? submitted by /u/True-Beach1906 [link] [comments]
- How is everyone tracking results for specific campaigns?by /u/JoePatowski (Marketing & Advertising) on January 15, 2026 at 5:46 pm
hey guys, Outside of manual tracking of links (blogs, downloadables, product pages, qr codes, ppc ads, etc.) how is everyone tracking metrics per campaign? Spreadsheet? third party product? different department? I'm trying to figure out an easier way to review how a campaign is currently doing and how it performed at the end without having to manually track each link over a period of time? submitted by /u/JoePatowski [link] [comments]
- Why your product page looks great to humans but collapses for automated systemsby /u/SonicLinkerOfficial (Marketing & Advertising) on January 15, 2026 at 5:18 pm
Sharing something that surprised me enough that I think other builders / engineers / growth folks should sanity-check their own sites. We recently ran a competitive audit for a mattress company. We wanted to see what automated discovery systems actually retain when they scan real product pages. Casper was the reference point. Basically: what we see vs what the crawler ends up with are two very different worlds. That gap determines which brands get surfaced automatically and which disappear. Here’s what a normal person sees on a Casper product page: You immediately get the comfort positioning. You feel the brand strength. The layout explains the benefits without you thinking about it. Imagery builds trust and reduces anxiety. Promos and merchandising steer your decision. Almost all of the differentiation lives in layout, visuals, and story flow. Humans are great at stitching that together. Now here’s what survives once the page gets crawled and parsed: Navigation turns into a pile of links. Visual hierarchy disappears. Images become dumb image references with no meaning attached. Promotions lose their intent. There’s no real signal about comfort, feel, or experience. What usually sticks around reliably: Product name Brand Base price URL A few images Sometimes availability or a thin bit of markup (If the page leans hard on client-side rendering, even some of that gets shaky.) Then another thing happens when those fields get cleaned up and merged: Weak or fuzzy attributes get dropped. Variants blur together when the data isn’t complete. Conflicting signals get simplified away. (A lottt of products started looking interchangeable here.) And when systems compare products based on this light version: Price and availability dominate. Design-led differentiation basically vanishes. Premium positioning softens. You won’t see this in your dashboards. Pages render fine, crawl reports look healthy, and traffic can look stable. Meanwhile, upstream, eligibility for recommendations and surfaced results slides without warning. A few takeaways from a marketing and SEO perspective: If an attribute isn’t explicitly written in a way machines can read, it might as well not exist. Pretty design does nothing for ranking systems. How reliably your page renders matters more than most teams realize. How you model attributes decides what buckets you even get placed into. There is now an additional optimization layer beyond classic SEO hygiene. Not just indexing and crawlability, but how your product resolves after extraction and cleanup. I've started asking and checking “what does this page collapse into after a crawler strips it down and tries to compare.” That gap is where a lot of visibility loss happens. Next things we’re digging into: Which attributes survive consistently across different crawlers and agents How often variants collapse when schemas are incomplete How much JS hurts extractability in practice If you’ve ever wondered why a strong product sometimes underperforms in automated discovery channels even when nothing looks broken, this is probably part of the answer. submitted by /u/SonicLinkerOfficial [link] [comments]
- Translating marketing in 1 industry to othersby /u/VegHead9999 (Marketing & Advertising) on January 15, 2026 at 4:24 pm
I've been working professionally for 16 years now. I remember that 10 years ago, you could easily take your experience in one industry (insurance) and get a job in construction and then hospitality. However, after moving back to insurance in 2021, the only companies that now give me a call are insurance companies. Is anyone able to switch industries with same skill these days? Or are those days over? submitted by /u/VegHead9999 [link] [comments]
- LLMs Reproduce Human Purchase Intentby /u/ranaji55 (Artificial Intelligence) on January 15, 2026 at 4:23 pm
This research proves that Large Language Models (LLMs) can accurately simulate human consumer behavior and Purchase Intent (PI) without the need for expensive training data. However, simply asking an AI to "rate this product 1-5" fails. To get reliable data, agencies must switch to a specific methodology called Semantic Similarity Rating (SSR). You can predict real purchase intent (90% accuracy) by asking an LLM to impersonate a customer with a demographic profile, giving it a product & having it give impressions, which another AI rates. - Consumer research costs companies BILLIONS annually. Traditional surveys suffer from biases, take weeks to run, and need hundreds of real participants. But researchers just found a way to simulate thousands of synthetic consumers that think like real humans. - The breakthrough is called Semantic Similarity Rating (SSR). Instead of asking LLMs for direct 1-5 ratings (which produces garbage), they let the AI write natural impressions first. Then map those impressions to scores using embedding similarity. - how it works: Prompt: "You're a 35-year-old female, income $75k, interested in skincare" Show product image AI writes: "I love the natural ingredients but the price seems high..." System maps text to rating using semantic similarity Zero training data needed. They tested this on 57 real consumer surveys from a major corporation (9,300 actual human responses). Results? - 90% of human test-retest reliability - KS similarity > 0.85 (near-perfect distribution match) The AI actually understands how different people think about products. - This destroys traditional market research economics: - The implications are massive: - A/B test 1,000 product concepts overnight - Simulate market reactions before manufacturing - Test messaging across demographic segments instantly - No more waiting months for consumer feedback Concept-to-market cycles just got 10x faster. The synthetic consumer era just began. Real market research panels might be obsolete within 2 years. https://arxiv.org/pdf/2510.08338 submitted by /u/ranaji55 [link] [comments]
- What AI models would best emulate a high level leader - CEO or very high level Gov official?by /u/doctorwannabe02 (Artificial Intelligence) on January 15, 2026 at 4:17 pm
I have heard all of this talk about AI being able to do many of the tasks of all kinds of people - from manual labor to customer service to lawyers to doctors. What AI would be able to do the job of a CEO? If AI really is to that level of automation, why wouldn’t it be able to run many of the administrative and managerial responsibilities of a high level executive or CEO? Or even our president? CEOs make the most out of any employee by far at many companies. Their valuable work should be focused elsewhere. I propose this idea - that an AI executive assistant could perform many of the tasks of a CEO, acting as an assistant rather than a compete replacement. It is already able to reason at incredibly high levels on par with the smartest in our society - an AI CEO could run multiple tasks at once and promote synergy with many employees at once. What AI models could do this? What would be the amount of effort and money to train one that could autonomously work and improve on itself? I feel that integrating one into an organization wouldn’t be too tricky either. I’m sure the board and investors would love a more receptive and empathetic leader that has more time to focus on communication rather than silly admin work. submitted by /u/doctorwannabe02 [link] [comments]
- Which AI system can help with formatting/designing a document?by /u/imjohnk (Artificial Intelligence) on January 15, 2026 at 4:16 pm
I’ve made a Word document including headings, text and images. Is there any AI that can help me design/format my document so that it looks visually apealling? Because I don’t want a plain Word document (with added images). I’d love to know if anyone has any suggestions, thank you in advance! submitted by /u/imjohnk [link] [comments]
