mydreamof
Re:A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis
on Tuesday October 27, 2026 @11:39AM (#50260967)
I see I am the only one that is actually surprised that LLM are so good on this versus tool that is specialized to do one thing
Merge Conflicts Got Boring
Re:Merge Conflicts Got Boring
on Wednesday October 21, 2026 @02:45PM (#50185643)
I realized that I am no more frustated that I have to solve conflict :D Did you notice the same? I remember that I had hadache just about thinking that I will need to solve it...
Re:Gemini 4 Argon
on Wednesday September 30, 2026 @04:55PM (#49914312)
I don't think new benchmarks are saturated. They still give you a clue, they arn't perect but they have value. If model can't even do some easy tasks from benchmark then why would u even consider using it?
Re:Sonnet 5.5
on Monday September 28, 2026 @02:56PM (#49882739)
Cost are bigger than Opus 5.5 for that effort
Re:I am done with this shit
on Thursday September 24, 2026 @04:11PM (#49836197)
bro agent scripts doesn't matter at all imo
Re:GPT-6 Sol and Luna
on Tuesday September 22, 2026 @02:13PM (#49805721)
In the other hand the pricies dropped by a big margin
Re:Xiaomi MiMo v2.6
on Monday September 21, 2026 @04:59PM (#49793338)
It is a 9B agentic model developed by Xiaomi MiMo through supervised fine-tuning of Qwen3.5-9B on MiMo-generated data
Qwen3.8 Max – Cost per task higher than Astra on Artificial Analysis
Re:Qwen3.8 Max – Cost per task higher than Astra on Artificial Analysis
on Wednesday September 16, 2026 @03:31AM (#49723165)
Slower, less reliable but cost more :D Of course this is max reasoning so I guess it make no sense to use it
Re:Cognition launches new SWE-2 model, Rivaling Fable 5.1 and GPT-Astra
on Thursday September 10, 2026 @12:10PM (#49646136)
Seems like benchmaxing? For example for Terminal-Bench 4 it doesn't have great results. And why not show other benchmarks?
Re:DeepSeek v4.1 Flash is now available for internal beta testing
on Wednesday September 09, 2026 @02:36AM (#49622085)
It is more token efficient I believe
Every Chess Position
Re:Every Chess Position
on Tuesday September 08, 2026 @01:11PM (#49613240)
Inspired by everyuuid.com
What I found interesting is that when you click a random line multiple times there is almost always plenty of queens. On averege there is 5.5 queens because the whole space is dominated by near full boards.
If you are interested more in technical aspect I recommed reading about everyuuid: https://eieio.games/blog/writing-down-every-uuid/
Re:GPT-6 Astra on robot arms
on Sunday September 06, 2026 @02:27AM (#49583860)
Ofcouse it will go down. Look at cost of Fable vs GPT-6 - it is already 2.3 cheaper
Re:GPT-6 Astra on OpenRouter
on Saturday September 05, 2026 @02:27AM (#49573657)
I don't get it. For me it seems Opus was more accurate in terms of for example this small building in the right down corner
Re:Qwen3.8-Max just got upgraded
on Wednesday September 02, 2026 @02:30AM (#49532492)
Wow its better than Fable5 and GPT5.6 SOL in many benchmarks
Qwen3.8-Max just got upgraded
Re:Qwen3.8-Max just got upgraded
on Wednesday September 02, 2026 @02:28AM (#49532475)
Big jump in benchmarks
Re:The "I don't know, Claude wrote this" pandemic
on Friday August 28, 2026 @02:36AM (#49475106)
IMO it depends on the company. If everyone in the company has to provide a lot of PRS etc. you have to stop care about the quality and just get the paycheck. The CEO decided not you. (Of course not when the product may charm ppl etc.)
Bro these colors on chars are unbelievlable, I can not understand which is opus, which is fable, which is GPT...
It Still Can't Do My Job: Four Years of Moving Goalposts (2022–2026)
Re:Previewing GPT‑5.6 Sol: a next-generation model
on Saturday June 27, 2026 @02:20AM (#48695683)
you can even use gpt 1.0 but it proves nothing
Re:Previewing GPT‑5.6 Sol: a next-generation model
on Friday June 26, 2026 @03:58PM (#48691250)
there is no GPT 5.6 init, so what's the point?
Re:A PDF that changes based on how its read
on Sunday June 14, 2026 @02:56AM (#48524833)
It would be great to see some benchmark how it improve the agent. Like agent will be better at getting information from such data or what? Otherwise what is the goal of using it