cryptopsy retweeted
“Absurd by 3 or 4 orders of magnitude”
Dude legit thinks a 2,000 person company should be merging under 30 PRs a day lmao
cryptopsy retweeted
For the cost of 8 years of $200 Claude subs, you can force your team to use shitty quantized versions of DeepSeek v4 Flash running at 30tps. Incredible deal!
Local AI is good enough for a startup. A 10-person startup built its own 128GB-VRAM AI server for $18,000.
One Threadripper box sitting locally with
🎮 4× Radeon AI PRO R9700 32GB
💾 128GB total VRAM
🧠 Qwen3.8 + DeepSeek V4 Flash
👥 16 concurrent AI sessions
And they're actually pushing it.
Qwen3.8-Flash-Next with 16 simultaneous sessions:
📚 48K context/user
⚡ 538.5 tps aggregate decode
At 128K context per user
⚡ 365 tps aggregate decode
The GPUs are even undervolted to under 210W each.
Link in ALT
ALT https://www.reddit.com/r/LocalLLaMA/comments/1x2u742/building_a_4x_r9700_setup_for_a_10_person_startup/
cryptopsy retweeted
I’m on all social platforms.
What they’re up to:
X: war
IG: comparison
YouTube: diluting
TikTok: rot
cryptopsy retweeted
bro it's too late
love u tho but get mogged
cryptopsy retweeted
Terrence Tao waiting for society to shutdown AI and die of cancer so he can keep feeling like the smartest person in the world.
cryptopsy retweeted
‼️ BREAKING: Fires broke out after hackers hacked fridges of hundreds of French supermarkets and forced Danfoss controllers to defrost at up to 50°C.
Intermarché counts up to 200 stores, Coopérative U fewer than 100. Paris prosecutors opened a probe.
cryptopsy retweeted
holy fucking shit. google deepmind reportedly just solved 9 open erdős problems and proved 44 oeis conjectures.
two of those problems had remained unsolved for 56 years. every proof was verified in lean, reportedly costing just a few hundred dollars per problem.
this is absolutely insane. the pace of progress is getting ridiculous.
cryptopsy retweeted
A tragic day for Elon Musk. Thousands of his most loyal reply guys went offline at once. 💔
cryptopsy retweeted
ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters -- our cluster in Bruyères-le-Châtel built using our Series B fundraise.
We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will let us train longer, pursue more ambitious post-training, and iterate faster.
We expect large and rapid improvements in the weeks and months ahead.
2/n
cryptopsy retweeted
haiku 5.5 vs grok 4.7
tested both models with same prompt at highest reasoning available
> haiku took 27 mins and cost .8$ in claude code
> grok took 35 mins and cost 4.1$ in grok build
really impressed by what haiku did and literally mogged grok 4.7
which one won here?
cryptopsy retweeted
this is what a european datacenter looks like
ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters -- our cluster in Bruyères-le-Châtel built using our Series B fundraise.
We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will let us train longer, pursue more ambitious post-training, and iterate faster.
We expect large and rapid improvements in the weeks and months ahead.
2/n
Readers added context they thought people might want to know
The posted photo shows the Breuillet - Bruyères-le-Châtel train station in France, not a datacenter. Mistral AI's cluster is in a separate modern modular facility operated by Eclairion at the location.
fr.wikipedia.org/wiki/Gare_de_B…
datacenterdynamics.com/en/news/mistra…
usinenouvelle.com/article/ce-dat…
baxtel.com/data-center/ec…
cryptopsy retweeted
Anthropic has done serious damage to OpenAI.
Opus 5.5 is insanely intelligent and affordable. GPT 6 Astra is less intelligent and costs 2.5x more.
And Fable 5.5 is dropping soon.
Even if GPT 6.1 Astra drops tomorrow, it's going to be hard to win me back.
A better model doesn't matter when your weekly limit runs out in a day.
