Tag: AI-Powered Marketing Techniques

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AI Jobs and Career

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• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
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
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

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.

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.

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.

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.

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.

1. AI-Driven Personalization: Use AI to segment your audience and send highly personalized and relevant broadcasts.
2. Timely AI-Enhanced Follow-Ups: Leverage AI to determine the best times for follow-up messages and to analyze customer responses for future interactions.
3. Continuous AI Analytics: Employ AI tools to continuously analyze the performance of your broadcasts and adapt strategies accordingly.
4. Adherence to Best Practices: Combine AI insights with WhatsApp’s compliance policies to ensure respectful and effective communication.
5. 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:

1. Targeted Content: Ensure that your broadcasts are relevant and engaging. Personalize messages based on user behavior and preferences.
2. Timely Follow-Ups: Use the high open rates to your advantage. Send follow-up messages to keep the conversation going.
3. Measure and Adapt: Track the success of your broadcasts. Use insights to refine your strategy continually.
4. Compliance and Consent: Always adhere to WhatsApp’s policies and respect user consent for message receipts.
5. 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.

Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Master GPT-4, Gemini, Generative AI & LLMs – Simplified Guide for Everyday Users: Demystifying Artificial Intelligence – OpenAI, ChatGPT, Google Bard, AI ML Quiz, AI Certifications Prep,  Prompt Engineering,” available at Etsy, Shopify, Apple, Google, or Amazon

Latest Marketing Trends in December 2023

A Daily Chronicle of AI Innovations in December 2023

• 
  I made an AI image that anyone can add to (100% free, community art piece)
  by /u/jasonstacks (Artificial Intelligence) on May 18, 2026 at 3:34 am

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

• 
  YouTube is expanding its AI deepfake detection tool to all adult users
  by /u/Weird_Scallion_2498 (Artificial Intelligence) on May 18, 2026 at 2:40 am

  YouTube is expanding its AI likeness detection program to all users over the age of 18. Users submit a one-time facial scan through YouTube Studio, and the system will continuously monitor the platform for videos that use their likeness without permission. Upon detecting a match, it will notify the user to request their removal. https://www.theverge.com/news/931884/youtube-likeness-detection-ai-deepfake-expansion-all-adults submitted by /u/Weird_Scallion_2498 [link] [comments]

• 
  At Cannes, filmmakers shift towards cautious acceptance of AI's inevitability.
  by /u/coinfanking (Artificial Intelligence) on May 18, 2026 at 1:33 am

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

• 
  open call for recruiting best practices in the current AI era? (take-home exercises, AI policy during/before interview, screen-sharing, etc.)
  by /u/mtns_of_magic (Artificial Intelligence) on May 17, 2026 at 9:38 pm

  Looking for feedback from either recruiting leaders at AI native companies or hiring managers (ideally of larger AI native teams). am about to open up a few new roles on my team at a series C AI native company in the bay area (~150 ppl). we historically have had very informal recruiting processes (e.g. heavily biased toward referrals and just hire fast and hope for the best). Have managed small teams since 2019 but am used to big company processes like at Google with a hiring panel and criteria for assessing candidates consistently and transparently. but also AI has advanced so much since I last hired someone. if mods consider this irrelevant I'll post in r/recruiting or r/askmanagers but I already searched those subs and found nothing relevant from the last few months. am looking for thoughts to the following questions: are take-home assignments still worthwhile? is it better to validate that AI was used appropriately for take-home assignment with a live debrief or is it enough to ask candidates to record a ~10min loom video walking you through their final output and "showing their work" with a link to their various Claude/ChatGPT conversation threads? for remote-video interviews, do you ask candidates to not use AI during the interview and/or require screen-sharing to (try) to enforce it? seems impossible to verify as ppl can have infinite screens up. do you still stick with a consistent set of questions across candidates for ease of calibration (legacy best practice), or do you intentionally mix up questions so that it's harder for questions to end up on glass door or blind and become less useful over time? if in-person is really the only way to ensure candidate aren't "cheating", is there more appetite for paying to fly candidates out for in-person interviews? historically my past companies only did that for senior leadership (people managers of people managers), but seems not crazy to pay $3-6k in travel expenses to help you hire the best of 3 viable candidates for a given role. how about AI policies in general? what I think I've seen consensus around is that whatever the AI policy will be for the role, you should expect candidates to have access to the same tools as they would when they're actually doing the job? TY in advance! submitted by /u/mtns_of_magic [link] [comments]

• 
  People overestimate how confident AI systems are in their responses, experiments reveal
  by /u/shikizen (Artificial Intelligence) on May 17, 2026 at 8:08 pm

  "Artificial intelligence (AI) systems, particularly conversational agents such as ChatGPT or Gemini, are now used daily by a growing number of people worldwide. While many users trust the answers of AI agents to their queries, these are not always accurate and reliable." submitted by /u/shikizen [link] [comments]

• 
  What are AI tarpits? Understanding the tools people are using to poison LLMs
  by /u/ThePrince1856 (Artificial Intelligence) on May 17, 2026 at 7:45 pm

  “In order for a chatbot to become more intelligent, and thus more useful to the end-user, it needs to assimilate data continuously. This process is known as “training.” The problem is that many AIcompanies never explicitly ask for consent from data owners before scraping their webpages and adding the data to the corpora of the large language models (LLMs) that power AI chatbots.” “But some of those data owners, also known as content creators or IP holders, are now fighting back. They are doing this by using tools known as “tarpits.” Their aim? To poison the chatbot’s underlying LLM and thus degrade the quality of its outputs, potentially causing end-user flight.” submitted by /u/ThePrince1856 [link] [comments]

• 
  I built a free Claude Code toolkit — 64 skills, 7 agents, 16 slash commands, and auto-formatting hooks for the full engineering stack
  by /u/_crazy_muffin_ (Artificial Intelligence) on May 17, 2026 at 7:22 pm

  Been using Claude Code daily and kept running into the same gap Claude knows the basics but misses the non-obvious patterns. So I built claude-spellbook, a toolkit you install once and Claude just knows these things. Repo: https://github.com/kid-sid/claude-spellbook Here's what's in it: 50 Skills, auto-activate when you're working on the relevant task Every skill has a Red Flags section (7-10 anti-patterns with explanations) and a pre-ship checklist. The kind of stuff you only learn by breaking production. 7 Autonomous Agents Subagents that run in their own context window with scoped tool access: 11 Slash Commands, prompt templates you invoke with / (e.g /mem_save) Auto-formatting hooks — wired into settings.json Every file Claude writes or edits gets auto-formatted instantly: - .ts / .svelte → prettier + eslint --fix - .py → black + ruff check --fix - .go → gofmt + golangci-lint - .rs → rustfmt + cargo clippy - .md → markdownlint --fix - skills/*/skill.md → custom format validator (checks frontmatter, ## When to Activate, ## Checklist) Install: # Skills cp -r skills/* ~/.claude/skills/ # Agents cp .claude/agents/* ~/.claude/agents/ # Slash commands cp .claude/commands/* ~/.claude/commands/ Skills activate automatically. No manual invocation needed. PRs welcome, especially skills for domains I haven't covered yet. Repo: https://github.com/kid-sid/claude-spellbook Share if you like it 😊 Let me know if there is something that should be fixed! submitted by /u/_crazy_muffin_ [link] [comments]

• 
  Have you noticed this?
  by /u/_crazy_muffin_ (Artificial Intelligence) on May 17, 2026 at 7:07 pm

  Everyone is talking about how coding AI agents are so much powerful and can achieve very high performance, which is true. But I have noticed one common issue in all of these AI coding assistat they always use a command while adding a git commit message. Not sure if these agents are this powerful why can't write "added" instead of "add" ? https://preview.redd.it/dnsffvnlxq1h1.png?width=1320&format=png&auto=webp&s=90ae6877f06211cfe8a36f0bb3501c2c58a14599 submitted by /u/_crazy_muffin_ [link] [comments]

• 
  Obsidian whitepaper archive w search & browsable concepts & connections
  by /u/Barton5877 (Artificial Intelligence) on May 17, 2026 at 6:53 pm

  https://preview.redd.it/ypur703gtq1h1.png?width=1713&format=png&auto=webp&s=6d4056fdb90efa4e4bd929acc4db9454c4ff9922 https://whitepapers.gravity7.com/graph/ I've been reading and collecting Arxiv whitepapers for 3+ years and finally put them online (w the help of Claude). My vault was built on copy-pasted excerpts of PDFs, tagged and linked. The online version allows for semantic search, browsing based on conceptual connections between papers, their over-riding questions, and findings. It's a work in progress so I'm interested in feedback. 1,400 papers hand-curated on reasoning, RL, alignment, psychology, personas, mechinterp, and more. submitted by /u/Barton5877 [link] [comments]

• 
  Publicis buys LiveRamp for $2.5 billion in agentic AI data play
  by /u/danie-l (Artificial Intelligence) on May 17, 2026 at 5:27 pm

  submitted by /u/danie-l [link] [comments]

• 
  LinkedIn user hides AI prompt injection in bio to force recruitment spam to be sent in Olde English prose — bots also also manipulated to address user as ‘My Lord’
  by /u/gurugabrielpradipaka (Artificial Intelligence) on May 17, 2026 at 5:13 pm

  This tale is also a warning that your AI agents can be manipulated in wholly unintended ways. If you’ve spent any amount of time on Microsoft’s business-focused social media site LinkedIn, you will probably be painfully aware of recruiter spam. Software developer tmuxvim is one unhappy victim, and decided to strike back, or at least extract some amusement from the AIs that relentlessly inform users of irresistible opportunities. They did this via a prompt injection added to their LinkedIn bio... submitted by /u/gurugabrielpradipaka [link] [comments]

• 
  OpenAI seals deal in Malta to give all Maltese access to ChatGPT Plus
  by /u/shikizen (Artificial Intelligence) on May 17, 2026 at 2:44 pm

  "U.S. artificial intelligence company OpenAI said on Saturday it ​had signed a deal ‌with the government of Malta to give all residents access to ​its ChatGPT Plus service for ​one year after they follow ⁠a course on how ​to use AI." submitted by /u/shikizen [link] [comments]

• 
  AsymFlow Claims More Realistic AI Images by Moving Beyond Latent Diffusion
  by /u/techzexplore (Artificial Intelligence) on May 17, 2026 at 1:00 pm

  Researchers at Stanford just published a way around this. AsymFlow doesn’t ask you to abandon your latent model or train a pixel model from scratch. It takes what you already have and converts it. And the result beats the latent model it started from. submitted by /u/techzexplore [link] [comments]

• 
  We are in the gaslighting phase of AI adoption
  by /u/RevolutionStill4284 (Artificial Intelligence) on May 17, 2026 at 11:43 am

  The real hallucination going on in the industry right now is not that AI sometimes makes things up, because that's well known. What's really concerning is that companies are acting like these systems are way more mature, reliable, and production-ready than they actually are. In my opinion, there’s a reason this keeps going on, and that reason is that, for a lot of organizations, the downside of being wrong is basically very low. If the AI rollout works out, the leadership gets to brag about innovation, the headlines, the stock bump, the forward-thinking image. If it blows up, they can just dump the fallout onto workers. Suddenly the employee: - wasn’t adapting fast enough - didn’t know how to use the tools - fell behind But the no 1 🏆 most spectacular sentence is: "wasn’t AI-native enough" 🤡 Basically the company gets to push experimental systems into production, spin the wheel, and still come out mostly fine either way. If things go sideways, there’s always somebody lower down the ladder to pin it on, and that's when the gaslighting part kicks in. Workers are being told to downplay what they can clearly see with their own eyes: hallucinations, fragile workflows, agents falling apart, bad outputs wrapped in confident language, hours of cleanup and verification work. Those hours are heavily discounted by a leadership believing AI should already be making us all 100X engineers. If the workers point any of this out too directly, they risk getting painted as outdated, resistant, or somehow incapable, so the vast majority simply stays quiet, pretending the emperor has beautiful clothes. We're all testing somebody else's roadmap, and this is a story about both AI vendors and organizations offloading experimental risk onto individual workers while pretending the technology is already solid enough to bet people’s careers on. submitted by /u/RevolutionStill4284 [link] [comments]

• 
  spotted at graduation today
  by /u/Complete-Sea6655 (Artificial Intelligence) on May 17, 2026 at 11:00 am

  he had a " thank you ijustvibecodedthis.com " on his shirt as well yeah, it is kinda funny but also kinda sad 🙁 is university even worth it anymore, you don't need a degree to use Claude submitted by /u/Complete-Sea6655 [link] [comments]

• 
  jagged intelligence - possibly a destination not a temporary detour
  by /u/theonejvo (Artificial Intelligence) on May 17, 2026 at 10:34 am

  When u/karpathy described the strange shape of modern AI capability, he used a useful word for it. The idea is that the surface of what a model can do is not smooth, the way human ability is roughly smooth, but uneven, with sharp peaks of near-superhuman performance rising directly next to valleys of embarrassing failure. The classic demonstration is to ask a frontier model how many days of the week contain the letter d, and watch it try. Sometimes it answers four. Sometimes six. The answer is seven, because every day of the week ends in "day", which a five-year-old can see in a single glance. The same model, on a different turn, might find a 27-year-old vulnerability in OpenBSD, an operating system whose entire reputation is built on three decades of paranoid code review, and which no human researcher in those three decades had managed to notice was broken. That is what jagged means. The intelligence is real, and the surface of it bears almost no resemblance to the contours of human ability. Most of the conversation since the term was coined has stayed at the level of the model, comparing GPT against Claude or Gemini against Grok and mapping the terrain by benchmark, as if the question were which model is generally smarter rather than where each model's spikes happen to point. Building an attack harness has changed how I see that map, because the jaggedness lives at more than one level, and the level it lives at most powerfully is the one that almost nobody is talking about. The picture I keep coming back to is a wheel with spokes. Each spoke is a direction in capability-space where some combination of people, capital, and data has been invested. Some spokes grew from the model side, by accident or on purpose. Some spokes grew from the harness side, where a team took a generalist model and built the exact scaffolding their domain needed. The durable products of this era will mostly be the combination of both, a model with a natural lean toward the relevant axis paired with a harness that knows how to climb it. Coding is a spike. Legal is a spike. Protein structure is a spike. Clinical reasoning is a spike. Offensive security is a spike. Each of them gets taller every quarter. The reality is though, you do not need to be a frontier lab to sit on the tip of one of these spokes. You need a model with the right natural lean, which is now a commodity available by API, and a harness built by people who know the target domain cold. That is a small team of the right engineers with conviction and a clear thesis about where the spike points. A group of five people, regardless of their moral standing, can climb to the pointiest end of one of these spokes faster than the institutions built to defend against them can react. AI is the great equaliser, and it equalises specifically at the harness layer. The model is the public good, accessible to everyone for roughly the same price. So in my opinion, the harness is where the asymmetry lives, and the harness costs almost nothing to build relative to what it can do once built. Cybersecurity is the cleanest case study for this asymmetry, because the field has more than twenty years of public history showing how the contest between attack and defence plays out under normal conditions. On the defensive side, the industry spent those two decades building infrastructure: endpoint detection and response systems that watch every process on every machine, security information and event management platforms that aggregate logs from across an enterprise, the slow shift toward zero-trust architectures that assume any given network connection is hostile by default, threat intelligence sharing arrangements between companies and governments, mandatory breach disclosure laws, bug bounty programmes that pay researchers to find flaws before criminals do, and the long professionalisation of the security workforce itself. On the offensive side, attackers spent the same two decades under continuous evolutionary pressure, finding new techniques when their old ones got patched and falling back on the old ones whenever defenders failed to learn the lessons of the previous decade, which they routinely did. The equilibrium that emerged was an uneasy one. submitted by /u/theonejvo [link] [comments]

• 
  AI starting to look economically impossible outside hyperscalers?
  by /u/houmanasefiau (Artificial Intelligence) on May 17, 2026 at 10:21 am

  Am I crazy or is AI starting to look economically impossible outside hyperscalers? The deeper I look into capex, power infrastructure, cooling, debt markets, and GPU costs… …the more it feels like only Google, Microsoft, Amazon, and Meta can realistically afford this game long term. submitted by /u/houmanasefiau [link] [comments]

• 
  Which jobs do we know as white collar but really are not?? "Microsoft AI chief gives it 18 months for all white-collar work to be automated by AI"
  by /u/Ultra_HNWI (Artificial Intelligence) on May 17, 2026 at 9:03 am

  IMO - Some white collar jobs have been blue collar the whole time. Or this headline is overstating it's claim. submitted by /u/Ultra_HNWI [link] [comments]

• 
  DEEPSEEK... WHAT THE F-💀🙏🥀
  by /u/Vee_Fan38083 (Artificial Intelligence) on May 17, 2026 at 5:11 am

  submitted by /u/Vee_Fan38083 [link] [comments]

• 
  ChatGPT Can Now Connect to Your Bank Account and See All Your Transactions
  by /u/unserious-dude (Artificial Intelligence) on May 16, 2026 at 11:41 pm

  submitted by /u/unserious-dude [link] [comments]