u/ExcitingCricket37

I've been using AI tools since 2022 generating code, images, learning materials, you name it and the improvement year over year has genuinely been impressive. But the more I use these tools, the more the "AGI is here/near" narrative feels like a sales pitch rather than a scientific claim.

Here's what actually makes me skeptical:

Hallucinations haven't gone away. These models are built to predict the next most fluent token, not the most accurate one. Factual accuracy is a side effect of training, not the goal. That's a fundamental design problem, not a bug they're about to patch.

Context limits are a real ceiling. When a conversation gets long enough, the model literally can't "see" earlier parts of the chat anymore. This is why system prompts and careful context management matter so much the model needs hand holding that no genuinely "general" intelligence should require.

The billions being poured into this aren't wrong because AI is useless. It's genuinely powerful when used with experts who know its limits. But "AGI" as a concept functions more like a hype balloon inflated to attract investment, deflated when results disappoint, then reinflated with the next model release.

The tech is real. The AGI framing is a marketing layer on top of it.What do you think?

I've been exploring bug bounty hunting as a side hustle and I'm curious about the local experience. For those who have tried it:

• Which platforms have worked best for you? (HackerOne, Bugcrowd, Intigriti, etc.)
• What kind of bugs are you targeting web, mobile, API?
• Roughly how long before you got your first payout?

Not looking for exact figures, just want to know if it's realistically worth investing time in from a Kenyan perspective especially dealing with payouts (Payoneer, crypto, etc.).

Curious how many people here are running language models locally as part of their agent stack. What model are you using and what are your system specs? Also for those building agents locally, what's the sweet spot model size where you get solid reasoning and tool use without the hardware becoming the bottleneck? Running 30B+ feels overkill for most agentic tasks but 7B sometimes falls short on multi step reasoning. Would also love laptop recommendations if anyone's gone the portable route something budget friendly that can handle at least a 27B model comfortably for agentic use cases.

I am curious how many of us are running language models locally here. What model are you currently using and what are your system specs? Also looking for laptop recommendations budget friendly options that can at least handle 30B parameter models comfortably. Doesn't have to be top of the range, just something practical that won't bottleneck the model too badly.

With layoffs hitting first world countries due to AI automation, I started wondering where does Kenya stand? Are our major companies, government agencies, and universities actually integrating AI into their workflows, or is the cost still a barrier?

And for those that are using it are they going the API route (OpenAI, DeepSeek, Claude) or opting for locally hosted LLMs to cut costs and keep data in house? Would love to hear from anyone working in tech, government, or academia.

Hey, Coming from a cybersecurity and software engineering background, I've been exploring DevOps recently and it feels surprisingly familiar, almost too easy.

Is that normal for people with our background, or am I missing something critical that makes it harder down the line?

Also, for those already in the field where are the best places to find and apply for DevOps & Cloud Engineering roles?

Any platforms, communities, or strategies that actually work?

Genuine question for fellow techies. I’m a software/AI engineer actively applying for roles (backend, automation, AI, full stack), and honestly most of the interviews I’ve gotten so far have come from platforms like MyJobMag, Fuzu, direct company outreach not LinkedIn.

I’ve applied to quite a number of roles on LinkedIn, optimized my profile, tailored applications, connected with recruiters, but the conversion feels very low.

So I’m curious:

Have you personally gotten interviews or offers through LinkedIn?

If yes, what worked for you?

Are there better platforms for tech jobs in Kenya or East Africa?

Do you focus more on direct outreach to companies instead of job boards?

Would really appreciate real experiences, especially from software engineers, DevOps engineers, data/AI folks, or startup people.

Have you guys ever thought of having biracial children,whats your thought on that?

Watu wa majuu, need your honest advice. I'm thinking of relocating abroad, not just visiting or doing short contracts, but fully settling and building a real career and life outside Kenya. Which countries are realistically the best options right now? And is it actually worth leaving or should I just stay?

Hi, its been i a while since i developed an ai agent, last time i was developing using frameworks like crewai, openai agents sdk ,langchain etc. Today with the new claude code, what are the best tools/frameworks to develop ai agents. Is cloude code the standard today?

i want to join usiu to do master in info security. what are your views on persuing masters today, also in the edge of ai will it still be relevant, and also to cyber sec guys between masters and certifications which is better or what would you prefer

I have been unable to read or send messages on Reddit for about 1 month. The chat panel loads but remains completely blank it shows placeholder skeletons but never actually loads content. I have already tried hard refreshing, clearing cache and cookies, disabling extensions, and switching browsers. My account is not shadowbanned or restricted (confirmed via reddit.com/appeals). This is happening consistently on Chrome, Desktop Web. Screenshots attached.

https://preview.redd.it/5awiujqebhyg1.png?width=1364&format=png&auto=webp&s=be5e935eb7261d39ddb018626bd18c4dcb710b35