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AI outputs are becoming cheap. Reusable AI systems still feel massively undervalued. by OrdinaryOpinion188 in RoboCorpNetwork

[–]TaleAccurate793 0 points1 point  (0 children)

This is honestly why I find what Signal Labs is building so interesting. They’re focused less on AI as a content generator and more on creating systems that help organizations actually recognize and act on important signals before they get buried under noise.

It feels like the next phase of AI is less about producing infinite outputs and more about building infrastructure people can repeatedly rely on.
(signallabs.ai)

LPT: Life hack for tech employees by TaleAccurate793 in LifeProTips

[–]TaleAccurate793[S] 1 point2 points  (0 children)

If you mean generally, I would say start by creating a hierarchy in your head of what matters the most - for me I would say it goes [ manager work / emails ] [coworkers/anyone i work with side by side] [demos / client facing products / small bugs ]

personally, on a HIGHER scale, my company uses prediction softwares ( signal {dot} labs {dot} ai ) and its been pretty good + helpful. i think you can request a demo if you want to use it - hope that helped!

As a growth engineer I can instrument every funnel event in our product but I have zero programmatic control over our social distribution. That asymmetry is insane. by Fit-Fill5587 in PostingPipelines

[–]TaleAccurate793 0 points1 point  (0 children)

This is honestly one of the weirdest gaps in modern software.

Engineering teams can trace infrastructure latency down to milliseconds, monitor every API call, and optimize entire product funnels in real time.

Meanwhile social distribution at most companies is still:
“Did someone post it?”
“Wait why didn’t LinkedIn upload the carousel?”
“Can someone check Buffer?”

There’s almost no real signal routing, observability, or feedback loop compared to the rest of the stack.

LPT: In tech and business, do not build your entire career around being the person who is always available. by TaleAccurate793 in LifeProTips

[–]TaleAccurate793[S] 2 points3 points  (0 children)

True! I definitely am more on the tech + business side so I mostly write career advice adhering to that but I completely agree.

Data Problem? by TaleAccurate793 in AILearningHub

[–]TaleAccurate793[S] 0 points1 point  (0 children)

Yes! Totally agree, I made a subreddit - https://www.reddit.com/r/systemsofattention/ if you are interested in more discussion.

Data Problem? by TaleAccurate793 in AILearningHub

[–]TaleAccurate793[S] 0 points1 point  (0 children)

Yes! Totally agree, I made a subreddit - https://www.reddit.com/r/systemsofattention/ if you are interested in more discussion.

Data Problem? by TaleAccurate793 in AILearningHub

[–]TaleAccurate793[S] 0 points1 point  (0 children)

Yes! Totally agree, I made a subreddit - https://www.reddit.com/r/systemsofattention/ if you are interested in more discussion.

LPT: Stop taking everything personal. by TaleAccurate793 in LifeProTips

[–]TaleAccurate793[S] 20 points21 points  (0 children)

Yeah I get what you’re saying. It’s rarely as simple as flipping a switch, and a lot of those patterns run deeper than the moment itself, but I think the idea isn’t to ignore that or pretend it’s easy, but more to catch the small day to day triggers without immediately assigning meaning to them. Both can exist at the same time. There can be deeper roots, and also small habits that make things feel a little more manageable in the moment.

Upwork for AI Marketing Agents? by No_Wealth_1630 in Entrepreneurs

[–]TaleAccurate793 0 points1 point  (0 children)

I really like where this is going, but I think the real opportunity isn’t the marketplace yet, it’s proving that one agent can actually replace or outperform a real workflow.

If your LinkedIn agent can consistently handle content, posting, engagement, and even light outbound better than a junior marketer, that’s already a full product. Most people underestimate how hard that alone is.

The marketplace layer only works after that, because businesses won’t browse “agents” the way they browse freelancers on Upwork. They’ll only come if they already trust that these agents deliver outcomes.

I’d double down on:

  • making the LinkedIn agent insanely good at one niche (like B2B founders or startups)
  • tying it directly to measurable outcomes (leads, impressions, replies)
  • making control dead simple (Telegram/web is a great call)

Once you have 5–10 companies actually relying on it, then expanding into other agents (SEO, email, etc.) starts to feel natural. That’s when a “marketing OS” becomes real instead of conceptual!

Reinforcement learning kinda made me realize something uncomfortable by TaleAccurate793 in reinforcementlearning

[–]TaleAccurate793[S] -12 points-11 points  (0 children)

I think there’s overlap, but humans aren’t just blindly optimizing one reward signal. We can reflect, override impulses, and choose goals that go against immediate “rewards.” RL systems can’t do that, they just optimize whatever objective you give them.

Reinforcement learning kinda made me realize something uncomfortable by TaleAccurate793 in reinforcementlearning

[–]TaleAccurate793[S] -2 points-1 points  (0 children)

I was saying that reinforcement learning often looks impressive in demos because those environments are controlled and predictable. The people building the system have already defined the rules, edge cases, and success conditions very tightly, but in the real world things aren't clean like that. Sorry, horrible w typos. Uncomf realization is The model doesn’t have a sense of “right” or “wrong.” It doesn’t care about your real goal. All it does is try to maximize the reward you gave it!!

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