Foobar8568

On Apple website, US one, M5 Max with 128GB is $7000. So yeah? lulz

More expensive and worse than a MBP , congratulation. What type of jokes is this shit?

Dell Price $3,799.99 Processor NVIDIA RTX Spark N1X, 18 Cores Operating System Windows 11 Home Graphics Card NVIDIA Blackwell RTX 5120-core GPU Memory 32 GB LPDDR5X Storage 512 GB SSD, TLC Displays 16" Touch 3.2K (3200x2000)

Well don't read anything related to music analysis, or something I discovered this week https://cklixx.people.wm.edu/teaching/math400/Chris.pdf or for some books : "Exploring Musical Spaces. A Synthesis of Mathematical Approaches" or "Generalized Musical Intervals and Transformation"

But Qwen 3.8 27b is unbearable slow, you get 10minutes of "let me think" over any trivial stuff.

AI ceremony.

At this stage, I feel kids learn more in their environments than their parents...

Behavior learnt from school is exhausting me.

Companies still believe they have IP to protect. Even when all they do are basic CRUD systems or on the verge of collapsing if they don’t renew some contracts.

Especially given that Everquest had done that for a few years and was a major revenue stream. That was a 200% "MBA" decision.

And soon we'll see also Wow Legend? I kid I kid.

So where is that million of robotaxi? https://www.cnbc.com/2019/04/22/elon-musk-says-tesla-robotax...

If Astra is leading the pack...Considering it's supposed to be one of the slowest model.

Colors are as vibrant as late 90s cheap laptops.

I gotta love to get "for security/safety" reasons, and yet I get ads on anything served. Bonus points for YouTube.

But eventually, do you really care? Are you using only software that you developed? For decades we outsourced software development to third parties, to place where people have never seen a line of code, without code review and dubious software development practice. Whole F100 organizations were running on that type of software development.

Yet software quality has been in deep dive for a while, long before AI.

Agile and/or web based app killed software quality.

/change my mind.

Well, like 30 years ago, a French comedy show had foreseen it, the "World Company" buying everything, no need to understand French to understand the "joke" at the end https://www.dailymotion.com/video/x4du7uh

FTL stands for "For The Lose" or "For The Loose"?

You take Qwen3.6 35b on a 5090rtx, and here you get a higher score than Jev, for 2sec more latency on average. So yeah it's not subsecond, but I am sure that if I had VC money, I could too get within 500ms too!

Well, according to claude and Jevbench, Qwen 3.6 35b with ninfer on a RTX 5090@480W is like 3-5 time slower but 10%-15% better performance on the public set, I could see prefill > 15k for 700-800decode. Latency against what and which hardware? I don't really get jev...

As a non googler, I understood it as "is it webscale" type of jokes.

cheerleader hallucinating agent. That's Gemini.

Because it's a gorgeous piece of history. I have a paper reproduction that is 30m long. Yes, 30meters or I guess like 100 feet? From Citadelles et Mazenot edition, gorgeous books.

You won't have this type of billboard in Paris...And it looks so off.

I yolo vibe develop, but how one end up with 210 files change commits? Unless one shooting a project, there is no way to end up with such scope? I really don't get it.

At work, I am arguing with tech leads that they should sanitize user inputs for a public facing chatbot.

I want to cry.

One thing I would like to know is how fast it is when it's being presented with a 8000 ctx prompt? 16k? 32k?

I have just switched to 5.5. First mistake was stale environment variable, didn't realize it was replaced, "oh my memory had stall data" and that's it. Second one, a powershell command had the wrong syntax. Great for my first two prompts.

Qwen can't train anymore with openai reasoning tokens? I kid I kid.

I am more curious about a 60k prompt... I haven't seen much discussion about large prompts, is it still < 500ms?

Well the Doom demo is again passing a textual structure....I am not really convinced on how it's different than any other llm that execute small context within 100ms. On a MBP M3Max with LFM 2.5B, I get about 500ms -600ms on "source_text": "Invoice #4471 issued March 3, 2026 to Beaver Dam Logistics for $12,840.00, net 30." with a 4 property structure output https://docs.typesafe.ai/primitives/advanced

I can't test it on a better model / my main workstation, but sub 1sec for short prompts is not impressive? I am sure that we can get something like 100ms-300ms with a Qwen 3.8 27b model for a similar query on a 5090 class GPU.

edit: 203ms wall clock on a somewhat busy workstation with https://huggingface.co/LilaRest/gemma-4-31B-it-NVFP4-turbo