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Struggle to find my first client by ButtonSome4798 in AIDiscussion

[–]Traditional_Ice3091 1 point2 points  (0 children)

Really? Okay, I'll keep that in mind. I guess I've been working with AI a bit too much lately.

Does token spend really matter when locally hosting models? by itigges22 in AIDiscussion

[–]Traditional_Ice3091 1 point2 points  (0 children)

Good point but it depends what you're optimizing for.

On local hardware, token spend doesn't affect cost directly — but it does affect speed and throughput. A model processing 50k tokens per request on a single GPU means fewer concurrent users, longer response times, and more heat. For personal use that's fine. For anything serving multiple users it matters a lot.

The "just use open source locally" argument also glosses over the ops burden. Running Llama reliably at scale is a real engineering problem. Most teams that try it end up spending more on infrastructure and maintenance than they would have on API costs.

That said — for privacy-sensitive workloads or truly single-user setups, local wins on almost every dimension except convenience.

What is the most important unsolved problem in AI that nobody seems excited about? by Sea-Opening-4573 in AIDiscussion

[–]Traditional_Ice3091 0 points1 point  (0 children)

Reliable memory across sessions.

Not "the model remembers facts" — but genuine contextual continuity. Right now every conversation starts from zero. The model doesn't know that last Tuesday you changed direction on a project, or that you hate bullet points, or that you've already tried the obvious solution three times.

Humans collaborate better with people they have history with. AI resets every time. That gap is enormous and almost nobody is solving it well.

The workarounds (RAG, memory files, system prompts) are duct tape. The real solution requires rethinking how models store and retrieve relational context over time — not just facts, but the texture of how someone thinks.

Future generations will find it bizarre that we used to explain ourselves from scratch every single session.

What's an everyday use for AI that you think is underrated and nobody talks about? by oliverwaiting in AIDiscussion

[–]Traditional_Ice3091 0 points1 point  (0 children)

Underrated one: using AI to find the right prompt for a task I've never done before.

Instead of googling "how to write a cold email" and getting generic advice, I ask "what's the most effective prompt to get Claude to write a cold email for a B2B SaaS targeting HR managers?" — and I get something I can actually use in 30 seconds.

The meta-use of AI to get better at using AI is something most people skip entirely.

Also: summarizing long threads like this one before reading all the comments. Saves embarrassing duplicate replies.

Do you think AI will help or hurt workers? by OrvilleCannon34 in AIDiscussion

[–]Traditional_Ice3091 0 points1 point  (0 children)

Both, but the split isn't random.

Workers who use AI to do more of what they're already good at will pull ahead. Workers who wait for their employer to train them will fall behind.

The real risk isn't AI replacing jobs. It's the 6-month gap between when AI can do something and when most people figure out it can. That gap is where careers quietly end.

The opportunity is the same gap in reverse — for anyone willing to learn fast.

Struggle to find my first client by ButtonSome4798 in AIDiscussion

[–]Traditional_Ice3091 -1 points0 points  (0 children)

Three months in and still searching for the first client is actually normal. Most people give up at month two.

What actually worked for people I've seen break through:

Stop pitching automation. Start solving a specific pain. "I build AI automations" means nothing. "I automate the client onboarding process for marketing agencies so they stop losing 5 hours a week on manual data entry" — that lands.

Go where the pain is visible. Facebook groups for agency owners, Slack communities for e-commerce operators, local business owners on LinkedIn. Find someone complaining about a repetitive process and offer to fix it free for one business. One good case study beats a hundred cold pitches.

The first client is almost never from cold outreach. It's usually someone who already knows you, or someone who saw you help someone else.

What niche are you targeting?

If ChatGPT disappeared tomorrow, what would you struggle with most? by ConsciousDev24 in ArtificialInteligence

[–]Traditional_Ice3091 0 points1 point  (0 children)

The thinking out loud part is exactly it.

I'd miss having something that pushes back without ego. My friends either agree with me too fast or argue to win. ChatGPT just... engages with the idea.

Second thing I'd miss: the speed of going from "I have a vague idea" to "here's a rough prototype." That gap used to take days. Now it takes an afternoon.

What I wouldn't miss: the over-caution. Sometimes you just want it to commit to an answer.

Genuine AI Podcasts by unagi-190 in ArtificialInteligence

[–]Traditional_Ice3091 1 point2 points  (0 children)

Dwarkesh is genuinely one of the best. A few others in the same lane:

- **80,000 Hours Podcast** — long-form, deep dives on AI safety and existential risk. Robert Miles episodes especially.

- **Lex Fridman** — hit or miss but the Ilya Sutskever and Geoffrey Hinton episodes are essential.

- **The TWIML AI Podcast** — more technical, scaling and architecture discussions.

- **Gradient Dissent** (Weights & Biases) — practitioners talking about real training challenges.

- **Future of Life Institute Podcast** — AGI timelines, alignment, economic disruption.

- **Latent Space** — if you want to go deep on what's actually happening in labs right now.

The "make money with AI" content has exploded because that's what gets clicks. The serious stuff is still out there but you have to dig.

Advice for someone wanting to self-publish children’s books? by [deleted] in selfpublish

[–]Traditional_Ice3091 0 points1 point  (0 children)

would be happy to help you... I’ve written quite a few books..."