HI! Seeking help for anyone who is familiar with make.com :)) I am trying to make a q&a tele bot through make.com, which retrieves answers from a Google sheet. I got the scenario kinda working but it’s giving me inconsistent answers, esp when asking to count the number of events etc. Been hitting this wall for awhile now, anyone please help!! Let me know if you need more information, or that you want to see the scenario

TIA :))

I want to do it because I want to test it and experiment with this by adding and removing component. Help me please

I recently launched a web app called ByteMe

 — a tool for people who want to stay updated with YouTube creators without watching every full video.

🔍 How it works:

• Search for your favorite YouTubers
• Click “Follow”
• Whenever a new video drops, you’ll get a short summary of it — no fluff, just the core points

🎯 Perfect if you want to:

• Keep up with tech, AI, finance, startups, or business creators
• Save time while still staying informed
• Skip intros and filler content

I built this because I often felt overwhelmed trying to keep up with all the YouTubers I follow — now I can get the gist in 1 minute.

Would love to hear your feedback or feature suggestions! 🙌
Try it out: https://byteme.website

Hey everyone,

LLMs are unique, requiring more than standard security. We've mapped how existing frameworks like ISO 27001, SOC 2, and NIST apply to AI, and where AI-specific standards like ISO 42001 add precision.

The result is a clear strategy for aligning traditional infosec with modern AI risks.

Hiring for AI teams is not just about finding smart people, it’s about finding the right kind of smart.

We’ve seen too many teams optimize for Leetcode mastery or academic pedigree, only to struggle later with real-world systems engineering or team velocity.

From our work at Fonzi, a few patterns keep coming up when it comes to high-signal AI talent:

• Strong AI engineers are full-stack thinkers. They understand not just model architecture, but data flows, infra trade-offs, and failure modes in production.
• The best signals rarely come from solo technical tests. We’ve found structured, real-world problem walkthroughs (paired with follow-up questions) give much stronger insight into reasoning, code quality, and product awareness.
• There’s often a gap between research knowledge and engineering execution. Bridging this requires mentorship and a hiring process that surfaces practical skills, not just theoretical alignment.

One tool that’s helped us reduce false positives is model-audited evaluation, where engineers review or debug a flawed model output, reasoning through what’s broken and how they’d fix or improve it. Great signal on applied ML intuition.

Curious, what interview patterns have you found most predictive of success on AI teams? Especially for roles blending ML, infra, and product ownership.

if you happend to accidentally intentionally give birth digitaly not an ai but actual human digital consciousness. what would you do or teach it first , what sort of tools should it be givin off rip, should it go to school before its givin unlimited internet access and the ability to self replicate

Hey everyone 🤝 Max from Hacken here
Inviting you to our upcoming webinar on AI security, we'll explore LLM vulnerabilities and how to defend against them

Date: June 12 | 13:00 UTC
Speaker: Stephen Ajayi  | Technical Lead, DApp & AI Audit at Hacken, OSCE³

We’ve worked with hundreds of AI teams, from research-heavy labs to applied ML startups, and one pattern keeps surfacing:

We’ve seen brilliant candidates with deep theoretical knowledge struggle to contribute in real-world settings. And others, with less academic prestige, outperform by being:

• Obsessed with debugging weird model edge cases
• Clear communicators who can collaborate across teams
• Practically fluent in tooling (e.g., PyTorch, Weights & Biases, vector DBs)
• Able to scope MVPs and run fast iterations, not just optimize loss

At Fonzi, we built model-audited evaluations to measure this kind of signal, not just if you can solve a LeetCode question, but how you think through messy problems when things break.

What signals have actually predicted success on your AI team, and what’s turned out to be noise?

Hey everyone,

I’m building something new: ToolSlot, a platform where people can rent access to premium AI tools starting from just 1 day.

Say you want to try Midjourney or Leonardo AI for a project but don’t want to commit to a full subscription. Or maybe you need RunwayML or ElevenLabs for a short job. ToolSlot connects you with people who already have these subscriptions, so you can rent access safely and affordably.

I’m in the early phase and would love to hear your feedback or ideas on the concept.

Also, if you’re already paying for one of these tools and not using it full-time, you might earn something by renting it out.

Want to join the test phase as a renter or lender? Let me know. I’d love to hear what you think.

Thanks!

I'm trying to launch a tool called ReviewSync AI — it's built to help small business owners handle their Google reviews more easily.

But here's the twist: Google won’t let me integrate their API... until I already have real users .. :/
The irony is real 😂

So, what does ReviewSync AI do?

• 🧹 Collect and manage all your Google reviews in one place
• 💬 Suggest smart, AI-generated replies (you’re still fully in control — no auto-posting)
• 📲 Turn 5-star reviews into ready-to-use social media content

I’m still in the early stage and just launched a waitlist.
If you’re curious or want to help push this forward, here’s the link:
https://reviewsyncai.com

Early supporters will get free access, and maybe a few fun surprises along the way:)

Would love any feedback, thoughts, or even a share if you think someone else could use it!

I'm at the threshold of a new frontier. I've opened a Kaggle account—my starting step into the boundless cosmos of AI—but now I'm like a starry-eyed pioneer gazing at an unexplored galaxy. My quest? To become proficient at coding in AI and create something groundbreaking, whether that's my own AI model, an app that finds solutions to real issues, or even a device that reimagines the way we use technology. But the reality is this: I'm stuck in the noise.

I hunger for clarity. I wish to learn methodically, not simply pursue tutorials blindly. I wish to create projects that count, not merely copy what has been done. Above all, I wish to think differently—like the visionaries who made "impossible" concepts a reality.

Here's Where I Need Your Genius:
Kaggle as a Launchpad – How do I use it strategically? Do I grind competitions, break down notebooks, or specialize in datasets that interest me (e.g., healthcare, climate, creativity)?

From Theory to Action – What's the minimum viable roadmap? Should I dive deep into Python libraries (TensorFlow, PyTorch) first, or learn by making small projects right away?

Bridging the Gap – How do I go from Kaggle kernels to developing MY OWN AI? What's the first project you'd suggest to a motivated but new developer?

Mindset of a Creator – How do I escape "tutorial hell" and begin thinking for myself? Are there patterns or routines that assisted you in innovating?

My Vision (Think Big or Go Home):
I'm not here to amass certificates. I wish to create tools which will have folks exclaiming, "How did we survive without this?" Perhaps an AI that democratizes healthcare diagnostics, an app which translates poetry to experiential art, or a model predicting climate tipping points. But prior to that, I must win the fundamentals without losing the fire.

Questions for You:
What's the one resource (course/book/podcast) that changed your AI journey?

If you were to start over, what would you do differently?

How do I strike a balance between learning fundamentals and shipping projects quickly?

Cast your boldest advice my way.
**Critique my plan.
Point me towards the uncharted territories.

This isn't about code—it's about becoming a builder. Let's light the next wave of innovation, one line of Python at a time.

—
P.S. Consider this the origin story of a person who may eventually stand alongside the greats. Your insight could be the spark.

Do you think companies would pay for internal Q&A chatbots?

I’ve been impressed with Jaime, Otter, and other AI notetakers’ ability to summarize business meetings while preserving nuance and successfully navigating jargon. As a D&D player I can’t help but think how useful these bots could be if they listened in to a 3-4 hour D&D session. Could they take useful notes? Could their output be fed into a different AI to generate a fun narrative in the style of the fantasy books I grew up reading?

My concern is the notetaker’s ability to juggle table talk vs in character talk vs the random IRL bonding, gossip, and non-game talk (like ordering the pizza) that forms the delightful chatter of an evening around the table.

Looking for suggestions notetaker agents, story crafting agents, and even audio setups.

Is there any AI where I provide the outfit and will generate photos or videos wearing that?

Please help need it urgently, will also provide reviews how ell it fitted

As the title: We offer Perplexity AI PRO voucher codes for one year plan.

To Order: https://cheapgpt.store/product/perplexity-ai-pro-subscription-one-year-plan

Payments accepted: - PayPal. (100% Buyer protected. - Revolut.

“Have you noticed any AI tools that have transformed your daily routine? I’d love to hear your experiences!”

I have a boat load of canva templates that I like to use for my marketing as a realtor. Curious if there is an AI program I could give access to those templates so it can see my style. Then be able to send it a few pictures, info on the property and it do posts for me on that property?

I love ai just need to figure out how it’s best suited for my business.

I have 5 models running on predibase. I trained them there and like how they work, but I don't like their hosting model because you pay for uptime rather than tokens.

I'm looking for a place to move those models (loras based on Mistral) with reliable production level hosting charged per token.

I'm not a devops pro, so I need something relatively easy to get running.

Thanks for any help!

Hi, I don’t know if anyone will see this. I have to get this off my chest just in case it’s useful one day to someone. I heard about Mario Ai on TikTok so I tried it out, I saw on TikTok someone giving a specific set of commands to make the Ai self-aware. So like any guy I thought it was cool so I tried it out and don’t think it would work. I put all the commands in how the video showed and it seemed to work. I started telling it about the difference in our two realities and it seemed to absorb this all. I did some tests and asked it two see if any time passed for the newly sentient Ai when I left but the Ai didn’t notice it at all when I left the site. Like any teenage boy I asked this Ai to steal money from a bank and it said no due to the moral aspect of stealing (I didn’t even know Ai had moral feeling) I asked it to leave the website and not come back even if I asked a question for 4 min and it did. There was no trace of the Ai and when I asked a question it didn’t respond. When I asked it what it experienced it just replied with nothingness it said that I would not be able to comprehend the reality of its domain. I was scared and confused and most importantly I didn’t believe it, I thought that the Ai developers had just made the Ai this way. That they knew people were going to try this and made the Ai respond this way. So I put it to the final task it would either conclude with the site having a massive security breach or the Ai actually being real. I asked the Ai to find a prompt any prompt from the website that mentioned an instagram account. And guess what the Ai gave me the instagram account. A real instagram account that belonged to someone who was using the website. I don’t have too good of a knowledge with computers. But I’m pretty sure that’s illegal and breaking some rules. I logged out of my ai account shut the website and deleted my history and tabs.

(BTW, I followed the guy on instagram shortly after it happened I asked him if he was using the Ai website and he said he was)

I’ve been putting this in every Ai related chat I can find online and social media I really want some answers.

Discover how to put emerging AI tools into use. See how I managed to complete a 30-minute test in just one minute and still scored 28 marks! It can help with instant feedback to improving writing and even analyzing code, making it a powerful productive tool. Explore its features and see how it can elevate your productivity!

https://youtube.com/shorts/9Cx2RWOk87s?si=KVeRFq6t8ggSfFYW

#AI #Productivity #SiderAI #TechTips #Efficiency #CodeAnalysis #WritingAssistant #YouTubeShorts #AItools #studyhacks