Goals: Power to individuals. Improve my surroundings. Means: Blockchain. Bitcoin. Strong typing. Community.

Vienna
Joined October 2009
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Replying to @neshanycee
Ooohh Congratulations!
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Replying to @coderdannn
SMORT, would love to give this a go in Spanish
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Replying to @zherbert
There is a good and a bad way to get these numbers. Bad: tracking without permission. Good: External surveys, randomly sampled and extrapolated.
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Replying to @METR_Evals
"So we are instructing otherwise harmless agents to occasionally conduct cyberattacks, just to make sure the safeguards could potentially detect it".
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Replying to @badlogicgames
Will be useful once we have helpful models that fit those idle machines RAM. Even with pipeline parallelism the bandwidth might not be enough to split a model. I am experimenting with TEE-style inference across NVIDIA providers and MAC machines, might have sth to report soon.
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Replying to @freymakesstuff
I am using github.com/joeinnes/cow to create low-overhead hardlinks of git repos - not quite like workspaces but 90% and saves a huge amount of disk space in parallel development
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I'd join you in an instant. My Ideas need someone to say NEIN
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Just realised @pidotdev and @DeepSeekHarness are closer than expected. DSH is the Android to PI's Linux
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Replying to @0xkydo
But, but chatgpt is free, we could get a small vacation home near the beach instead...
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Chonky model, weird physics in the video. Exited for the weights release, But making this run fast will be a challenge with 49B active params. Dual M5U 512 around 40-50 tokens/sec max ..
Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.
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Andreas Petersson retweeted
Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.
🤖 Made with AI
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Replying to @tonychang430
Makes me think self hosting email is back soon.
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Andreas Petersson retweeted
You paid a Lightning invoice, but the receiver says the sats never arrived? 🤔 Your LN wallet has the proof: the preimage. But unlike on-chain payments, there’s no transaction to point to in a block explorer. How do you explain a 64-character hex string to a non-expert? 🧵👇
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Replying to @badlogicgames
Or Option 3: make it easy for users to set a custom user agent if errors occur, filing a bug at the same time and providing them a tweet template to complain.
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until end of October only...
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Replying to @MiaAI_lab
1/12th of a DGX Spark per month
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I'd say almost comparable. Space bunny seems less driven to produce result, thinks less and has in the free version ca 1/3 of the tg speed
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Replying to @ZixuanLi_
Updated offpeakclock.com/#provider=z… with these Infos. Easy to visualise the peak pricing times
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