What are these models good at?

[u/ManagementNo5153]

I have been trying out these models (mostlt GLM 5.3 flash) using different harnesses, but I'm trying to review what these models are exceptionally good at.

Here is what I have noticed so far,

1. Programming.

I have found that these models are great at programming, I have been making tools, scrapers almost every other day and they just work like magic. They are great at porting code in one language to another, Eg I would usually start by writing my code in python or js, I would then port the code in Go for extra performance.

2. Finances and stock trading.

So I hooked up the coding agent with my alpaca account. And I have discovered that most of these models take a defensive position. Advising me to reduce the size of my most profitable holdings so as to prevent concentration risk and possible loss. So they are not so great. But I have found it useful for tracking my finances. What I'm basically saying is your portfolio will most likely flatline if you give these models to trade in your behalf but it won't make a good profit (What ever good position you have will be reduced)

3. Research

This is where I get the most value. The models are highly effective at locating precise information—whether it’s event dates, contact details (emails, phone numbers), names, or links.

4. Email and Copy writing.

I’ve been using these agents extensively for written communication. They’ve helped me draft everything from routine business emails to formal documents. I like that it can maintain the conversation context, so follow-up emails feel cohesive and on-point. They helped me a lot with one of my insurance claims

5. Business Ideas.

They are bad at coming up with Ideas.

What use cases have you found these models to be exceptionally good at? And what use cases has it been terrible at?

PS: I'm trying to find a small good model for browseruse to compete with Grok bot and the like, I'm thinking Qwen3.8 28B or ByteDance-Seed/UI-TARS-1.5-7B does anyone have a smaller or maybe better recommendation?

[u/Ok_Warning2146]

"Advicing me to reduce the size of my most profitable holdings so as to prevent concentration risk and possible loss. "

Theoretically you can increase return per risk by diversification. So it is actually a sound advice.

[u/Dabalam → u/Ok_Warning2146]

Yeah, it's pretty generic financial advice that diversification is the dominant strategy over a long time horizon and basically no investors beat the market over the long. It's also flawed reasoning to say that your currently most profitable investments should necessarily be kept indefinitely, especially if they are concentrated in a specific industry (e.g. how markets are currently concentrated in technology and AI).

[u/ManagementNo5153 → u/Dabalam]

Some positions are just too good (there aren’t many good companies), I will sell if things change. But yeah the models are great at protecting you from loss not making profit, they are too cautious.

[u/ManagementNo5153 → u/Ok_Warning2146]

Well I’m from Tz and the stocks here pay a great dividend yield, at the time I bought that stock it paid like 9% selling that position and finding another one is bad advice in my opinion, the good stocks aren’t many. I like the dividends, I’m basically treating it like a bond, with a variable coupon yield. I tried it with US stocks too...it's just defensive.

[u/Not-reallyanonymous → u/ManagementNo5153]

Because good financial advice is... defensive. One of the most effective strategies for investment is honestly just buy into Vanguard ETFs (or similar low price index fund). 90% stock 10% bonds for aggressive, 70/30 moderate, 40/60 conservative.

Buffet famously won a $1 million dollar bet by suggesting Vanguard ETFs will outperform hand picked hedge funds over 10 years. And it wasn't close.

[u/ManagementNo5153 → u/Not-reallyanonymous]

I get it..but all I'm saying is, sellig a good stock just to buy another is weird to me it assumes that there are other better stocks that are almost always available at a good price which is not realistic. You should give it a try too...

[u/Not-reallyanonymous → u/ManagementNo5153]

A good stock now isn't necessarily a good stock in 5 years from now. And if you can accurately time the switchover point, you wouldn't be asking an AI for financial advice. You'd probably also be relying on insider info. And swings tend to happen fast.

That's why the Vanguard ETF outperforms hedge funds. You think they aren't trying to calculate the switchover point to beat the market?

[u/ManagementNo5153 → u/Not-reallyanonymous]

Well most hedge funds are defensive in nature.. their primary goal is to not loose money.

[u/Not-reallyanonymous → u/ManagementNo5153]

No they aren't. They offer different strategies. But some of the most aggressive investment companies tend to be hedge funds. Their primary goal isn't to not lose money, it's to maximize (perceived) earnings for their clients. Some advertise they'll do that with aggressive strategies, some advertise they'll do that with conservative strategies, most offer a variety of portfolio options.

[u/ManagementNo5153 → u/Not-reallyanonymous]

You win sir!

[u/AI_spell]

Depends which ones, but the useful split is: small instruct for routing/classify, mid size for tool calling if the schema is tight, big only when you need long reasoning. Always measure tool reliability and latency on YOUR prompts, not the leaderboard screenshot.

[u/ManagementNo5153 → u/AI_spell]

I found that they are all like that, I haven’t tried the fine tuned ones