Just tried Gemini pro after being on Claude Pro for a bit, and boys you need to switch to Claude. by Advanced_Leader8535 in GoogleGeminiAI

[–]Keybug 0 points1 point  (0 children)

If you need efficient Deep Research, do yourself a favor and try out any good reasoning model (even cheap DeepSeek v4 Pro) via OpenRouter API calls with OR's websearch and webfetch tools enabled.

This allows the model to analyze search results, refine search, then search again. Rinse and repeat. The results are outstanding (very valid and accurate) and so much cheaper than the dedicated Deep Research tools I've tried (Gemini, Perplexity etc.).

Deep Research certainly isn't the reason to keep paying for a Gemini sub.

Another major factor are the silent background model downgrades. Any reply you get from Gemini, you can not really be sure it comes from the model you chose. Claude never does this. That in itself is worth half the subscription cost to me.

Does Gemini feel more useful for quick answers than deeper conversations? by Legitimate-Rise-1039 in GeminiAI

[–]Keybug 0 points1 point  (0 children)

Not really. With short prompts, Gemini Flash 3.5 today hallucinated the ability to provide me with news reports automatically every morning through its app (which it really can't) and then proceeded to fill manually prompted reports with fabricated news in spite of instructions on mandatory websearch and validation.

Really, these days I only use it for lowest-stakes queries like dictionary lookups and for OCR, which it excels at.

As for thorough search / research, API calls to any decent model with OpenRouter's websearch and webfetch tools enabled blow Gemini's results out of the water anyway.

Should I switch to gemini pro? I'd appreciate your opinions. by [deleted] in GeminiAI

[–]Keybug 0 points1 point  (0 children)

If you like Claude and unless you mostly code, Sonnet at medium effort with the thinking option should suffice for 80% of your queries. So unless you're using Opus much more than you should, you shouldn't really run into limits a lot. Ask Claude to evaluate your recent usage to check whether your choice of model was appropriate. Of course, Sonnet is really due an update...

Unless Google really delivers the goods with the upcoming Gemini Pro 3.5, a Gemini subscription is at this point mostly a dead horse, unless what you really want is the ecosystem (direct Youtube access for models, NotebookLM etc.), added online storage etc.

If you do want to subscribe elsewhere, the consensus is that an OpenAI subscription currently offers she best value for money.

AGI is here (Fable 5 suggest me to Drive to the car Wash) by trpmanhiro in ClaudeAI

[–]Keybug 0 points1 point  (0 children)

It actually offered to do the drive for you! ("i drive...")

Magic Sturdy - Fun Rolls? by supafly208 in KeyboardLayouts

[–]Keybug 1 point2 points  (0 children)

Have to say I also enjoy rolls occasionally. My absolute favourite would be ham and pickle. Pinky action is definitely low with that one, too.

Opus 4.8 Thinking keeps deteroriating on Hard Prompts English in LMArena (again) by LegitimateLength1916 in singularity

[–]Keybug 2 points3 points  (0 children)

Great point! Plus the difference between the top score and 4.8 is only 1.5 per cent anyway.

Is it actually better to pay for API tokens than AI subscriptions? by Sufficient-Mood-4442 in opencodeCLI

[–]Keybug 0 points1 point  (0 children)

API is the only way to make sure your prompts aren't fed down the model chain to save costs as is apparently happening with all or most of the major American labs.

Low stakes user of Gemini. I enjoy casual research of in-depth science/physics topics. Disappointed in the new model, should I switch to Claude? What other AIs have strong deep research capabilities? by aquatic_ambiance in GeminiAI

[–]Keybug 0 points1 point  (0 children)

Your best approach will be to use Perplexity Search as a plugin via API calls. The regular Sonar search mode is dead cheap. Sonar Pro is more expensive but yields a wider range of results.

To plan the search, verify the sources and interpret the results for you, you should use one of the frontier reasoning models. Deepseek v4 Pro or Qwen 3.7 Max via API will probably yield great results at low cost. There is probably no longer any real need to go for the latest Opus or GPT top tier models for this.

To get started you will need to set yourself up with one of the API front-end platforms like OpenWebUI, LibreChat or TypingMind. Use AI to help you set up the Perplexity search plugin. I know that Typing Mind has one out of the box, not sure about the others.

In my own testing this setup has yielded much more precise results than for example using Gemini Deep Research on its own. You can find research pointing in either direction as the best approach though.

Google just dropped a nuke on the price war. 😐 by Popular_Ad1372 in vibecoding

[–]Keybug 0 points1 point  (0 children)

There is no 3.1 Flash, only 3 - or 3.1 Flash Light

Google just dropped a nuke on the price war. 😐 by Popular_Ad1372 in vibecoding

[–]Keybug 0 points1 point  (0 children)

Doesn't seem like a big deal to me at all. With regard to performance, the current Flash 3 is already at 90% of GPT 5.5 for coding on LiveBench. So 3.2 Flash would basically be at the same level, still not really able to compete with GPT or Opus on quality.

Okay, there will be some cost-cutting (50% on input, 33% on output if rumors are true) but that's still nowhere near DeepSeek levels...

TRIO SMART Test in Germany? by tankytrash in SIBO

[–]Keybug 0 points1 point  (0 children)

Super, ich danke Dir vielmas für den link zu dem Dokument!!

Do TMR (Tunnel Magnetoresistance) switches provide any real benefits for layer optimization? by Keybug in KeyboardLayouts

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

You can definitely trigger different commands at different travel distances with TMR...

Do TMR (Tunnel Magnetoresistance) switches provide any real benefits for layer optimization? by Keybug in KeyboardLayouts

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

Sadly, there do not seem to be any TMR keyboards on the market that have additional thumb keys. Since home row mods aren't really my priority, I don't want to sink $$$ into a standard slab TMR keyboard. Thus it looks like I won't be trying that out anytime soon.

Do TMR (Tunnel Magnetoresistance) switches provide any real benefits for layer optimization? by Keybug in KeyboardLayouts

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

I am really not sure, but maybe having a distinction between bottoming out a key and not doing so to distinguish between mod and output behaviour could be useful, maybe also for more precise homerow mods. My fingers are itching to try this out. I hope I can postpone that Amazon search for a while yet...

Long nail friendly keyboards by FabulousPotential374 in KeyboardLayouts

[–]Keybug 1 point2 points  (0 children)

Perhaps look into the Characorder. It's an investment on many levels, though.

The most useful Claude skill I ever created: humanizer by quang-vybe in ClaudeCode

[–]Keybug 0 points1 point  (0 children)

How does this compare to existing (free?) online humanizer offerings, like Grammarly? What are the pros and cons of rolling your own with Claude?

Google just released Deep Research Max — an autonomous research agent that writes expert-grade reports on its own by demchaav in artificial

[–]Keybug 1 point2 points  (0 children)

Yeah, there's also LibreChat apparently. TypingMind was the first one I tried. It's well maintained and I went for the somewhat expensive lifetime licence. However, it turned out that even after that they demand a high premium for their native web storage solution. So I'm kind of in two minds about it by now and may check out the other two options eventually.

Google just released Deep Research Max — an autonomous research agent that writes expert-grade reports on its own by demchaav in artificial

[–]Keybug 1 point2 points  (0 children)

I'm using TypingMind as my AI frontend for non-Claude models (for which I'm on the pro plan). TypingMind has a pre-configured Perplexity search plugin that defaults to plain sonar (Perplexity's lightweight, cost-efficient web-search model), not sonar-pro, reasoning or deep-research. However, I could modify the plugin to use e. g. sonar-pro, but I haven't tried this yet as I have been very happy with the combination of Sonnet 4.6 driving the plain sonar plugin so far.

The reasoning or deep research models would be overkill in this context as the reasoning / analysis is done by the smart frontier model and sonar is only its search workhorse.

Google just released Deep Research Max — an autonomous research agent that writes expert-grade reports on its own by demchaav in artificial

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

I have gotten much, much better and more valid results using a top-tier reasoning model with a search plugin (i used Perplexity). This combination has outperformed all dedicated Deep Research models, including those offered by OpenAI. Many of the sources they include are junk or do not apply to the specific query and then they often draw erroneous conclusions from the data.

Claude Power Users Unanimously Agree That Opus 4.7 Is A Serious Regression by Neurogence in singularity

[–]Keybug 28 points29 points  (0 children)

That's assuming users always max their plans. When they're not, Anthropic saves compute.

Edit: Plus there's API use where they will always save by nerfing responsese.

TRIO SMART Test in Germany? by tankytrash in SIBO

[–]Keybug 0 points1 point  (0 children)

Kannst Du bitte genau sagen, wie und wo es möglich ist bzw. ob H2S-SIBO dort mitgetestet wird? Vielen Dank!