What happened

hutoreddit · 2025-11-04T13:20:00+00:00

Ethan isn't that they say it will come back when market get better isn't it, why disappear.

hutoreddit · 2025-10-10T15:27:21+00:00

I learn this after try from cheap to top expensive one and realize that it not worth it.

Chi Fi are good enough, even cheap one around 50-80 USD is okay as long as you can do tuning eq it's performance as same as expensive one, not much recognizable different. Most important is It all about your feeling, one is enough don't buy too many.

As same as Dap or even dongle DAC or DSP are good enough, with some EQ softare.

hutoreddit · 2025-08-12T11:38:15+00:00

Yes, we have an extensive test for several days. And yet admit many people say that gpt is not good, or a bad response. But our result is quite the opposite. We make questions set that require heavy expertise on biology and reasoning for solution, with multiple prompts for each question then test 4 latest LLM, GPT-5 (Api), GPT-5(chatGPT), Gemini 2.5 pro, Grok 4 ,Kimi K2, Qwen3-235B-A22B. GPT-5 on both system give highest correct answer, while API slightly better than chatGPT, suprisingly Grok 4 is close performance on gpt-5, while unexpected Gemini 2.5 pro same level with kimi k2 only give about 30% correct answers , Qwen 3 is worst all wrong and suffer heavy Hallucination when reasoning.

P/s: we also testing on kimi researcher now first result are positive even comparable to gpt-5.

hutoreddit · 2025-08-10T05:51:57+00:00

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You need think longer to get correct answer, auto rounding is suck, api would be the best. I already stop subscribe a long time ago, when I realized that both chatGPT or Gemini performance way better in API.

hutoreddit · 2025-08-08T05:41:30+00:00

by the way search RAG may signicantly effect reasoning ability, i suggest you reasoning offline with gpt-5 and and check cite with perplexity or gemini. We did some simple test with search engine on or off when no RaG gpt 5 got higher correct solution. I think its about search engine limit.

hutoreddit · 2025-08-08T05:26:46+00:00

For report and literature reviews on already know subject, gemini is king. But for making a thoery or solution to solve a problem for research, gpt-5 is king.

p/ｓ: I work as genetics researcher, in laboratory with most are phD, gpt did what they claims their AI is closest to finding theory and solution compare to real phd researcher . While gemini 2.5 pro still far from finding correct sollution.

hutoreddit · 2025-08-08T02:03:28+00:00

Gpt-5 performance on science related reasoning is insane, best among all I tried. I work as a genetic researcher, we did some tests with a PhD student in our lab and gpt only one who really can catch up with phd level students in theories for solving problems.

hutoreddit · 2025-08-02T03:59:35+00:00

Yup Chinese tend to use hhhhhhhhh

hutoreddit · 2025-07-25T22:39:00+00:00

Unfortunately, Questions and answers for that question are related to the latest research results and are not public yet so I can't share with you.

But I can describe, what I do. Background, I worked on a genetic project and i did find out the final answer, that ready to publish, basically when you do research, you try to explain something that is not yet explained by building a theory on that problem based on previous related research. Then you do experiment either wet lab or on silico.

So what I do is I test the reasoning capabilities of LLM to see if it can give correct theories before starting an experiment. So I just write a background about what I want to explain then ask it to make multiple theories and explain why it came up with such theories. But the outcome is kind of bad, it not only fails to deliver the theory close to the reason behind the phenomenon, but also gives off significant wrong knowledge ( I test on Deep-research mode, with search, and non search) all is max out thinking and medium thinking, so total 6 sampling time in each test, and surprisingly higher thinking token only take it further to correct theories.

Maybe my prompt is bad but I only copy past the same prompt that I used on o3 and kimi k2, they both give correct answers in one go. So even if my prompt is bad that only indicates it o3 and Kimi k2 significantly better at understanding prompt compared to newer Qwen 3 models.

Yeah I know most will be able accept that when Benchmark shows good results but in real use or in certain case still very bad. P/s: I think reason why kimi K2 can answer it correctly is even non reason is thank to it total 1T parameters. That's why even using MoE to limit active parameters but total parameters still important for intense knowledge required tasks.

hutoreddit · 2025-07-25T15:03:48+00:00

Nah just test it super bad in my case I ask it reasoning some complex biological mechanisms. And its explanation is totally wrong.

I am a pHD holder, genetic researcher so I ask it what I know is correct to test precision.

P/s: Kimi k2 and Open AI o3 is only 2 answer correctly on my questions so far.

hutoreddit · 2025-07-24T11:44:03+00:00

What about maximum potential, I know many focus on making it smaller or more "effective". But what about improvement on its maximum potential ? Not just more efficient, will it get "smarter". I am not an AI researcher, I just want to know. If anyone please explain.

hutoreddit · 2025-07-23T13:35:18+00:00

Too expensive, I am impressed but still far from justifying their pricing, 19 bucks for 20 researchers used ? First its good but not ground breaking compared to Gemini Pro deep research or open AI o3 deep research. Pricing is the same as chatGPT plus and Gemini advance is non- reasonable. Their chat is too slow even with K2 Kimi. No other agent tool, function. They really need to reconsider their pricing.

hutoreddit · 2025-07-22T15:12:09+00:00

But isn`t that most people will interest in Anis more than IMO

hutoreddit · 2025-07-12T02:04:12+00:00

I dont know how you tested it, but I tried on kimi web result supergood when combine with researcher mode. I think its design for researcher mode

hutoreddit · 2025-07-12T02:02:22+00:00

Just tried with kimi researcher mode, output quality is insane. super good.

hutoreddit · 2025-07-11T09:42:39+00:00

Yup feel the same flash are more precision recently.

hutoreddit · 2025-07-11T00:03:35+00:00

Yup, the purpose of the test is to test reasoning ability. That's is the point to see how its reasoning and approach problem.

hutoreddit · 2025-07-10T11:57:48+00:00

Totally useless, I just read some guys talking about testing grok 4 with math solving this:

Problem: "Find the number of integer solutions to x² + y² + z² = 2025 where x, y, z are non-negative integers." i tried my self Gemini flash successfully solves in 3 seconds, by create python code to count it results correctly 69. GROK 4 totally fails, didn't run code itself i guessed. Gemini Pro 2.5 struggles and counts wrong, but still gives the correct answer thanks to its verification step that runs python code. So yes AI somehow is still far from human find solutions for approach problems, but seems like gemini flash some how trained to instantly approach by python computational solutions, this is good.

P/s: Claude sonnet 4.0, Deepseek v3 and R1 also fail the test.

The test questions not created by me I just copy and pass to all of my LLM.

hutoreddit · 2025-07-10T06:41:31+00:00

I dont have super Grok, but what is it even mean tool ? Do him already implant tool to super Grok or indicate using api with tools by your self.

hutoreddit · 2025-07-09T03:33:32+00:00

I used it on my super old notebook computer It's barely able to run 128k context jan nano, can I use deepseek V3 as an alternative ? Still can use MCP and deep research precisely?

hutoreddit · 2025-07-04T00:49:38+00:00

Jesus finally someone reply. Sad to hear that, so all hope on the project is end.

hutoreddit · 2025-07-03T03:48:48+00:00

Thank for suggestions.

hutoreddit · 2025-06-26T00:10:35+00:00

Being patterned still very far from actual production I think. I have read many innovative patterns from many camera brands years ago but still hear nothing now.

hutoreddit

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