Carlos Jung retweeted
Replying to @SamCKx
I hate to be the one to burst the Wright brothers bubble today, but the spectacular “flight” we witnessed at Kitty Hawk needs a little context. The Flyer is carrying around 274kg of wood, fabric and wire, plus the weight of the 12-hp engine, propellers and pilot needed to keep it aloft.
Based on the published figures, that gives it roughly 12 seconds of maximum flight before it settles back into the sand.
In short, it’s a gimmick.
Carlos Jung retweeted
Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple.
Carlos Jung retweeted
Terence Tao needs to be given a copy of Antifragile.
Birds take off, then some academic branch lectures birds how to fly & takes the credit for it.
Replying to @cremieuxrecueil
If you’re really with it ur conversational partner can use completely the wrong words or literally make words up nd u will still get what they’re saying bc of context clues & logical progression. And if im lucky enuf2 speak with a rly smart person I barely have to talk at at all
Carlos Jung retweeted

Eric S. Raymond@esrtweetOct 7
United States
United StatesConnected via United States Android AppAccount-level information, not a live location or per-post device.
Replying to @teppofelin
Your brain is laundering human work and knowledge. Constantly. You didn't invent the language you're speaking.
Carlos Jung retweeted

DAN KOE@thedankoeOct 5
United States
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
If you get addicted to things easily, good, your problem is aim. Point that same obsession at a skill, your body, or your work for 2 years and people will start calling you "disciplined" instead.
Carlos Jung retweeted
GLM-5.3-Flash streaming at 32 tok/s on a single Spark via Tensorfold ⚡️
i will share the recipe later today
Carlos Jung retweeted
tl;dr - the new Mac is VERY fast across the board for low concurrency, but scales horribly to higher concurrency on both models at this point.
Making great headway on the Mac so far, have had clankers on it since the moment I turned it on, benchmarked all inference engines and quants of Qwen 3.8 Flash and GLM 5.3 Flash for a solid baseline and am having them work on improved kernels for both models, already seeing massive improvements.
Initial findings confirm oMLX is the best engine right now for this, which is what I’m basing my optimization work around at this point.
Carlos Jung retweeted
GLM 5.3 Flash:
github.com/MiaAI-Lab/GLM-5.3…
Qwen3.8 Flash Next on solo Spark:
github.com/MiaAI-Lab/Qwen3.8…
Qwen3.8 Flash Next on 2x DGX Sparks:
github.com/MiaAI-Lab/Qwen3.8…
DeepSeek v4.1 Flash on 2x DGX Sparks:
github.com/MiaAI-Lab/DeepSee…
DeepSeek v4.1 Flash on 3-4x Sparks:
github.com/MiaAI-Lab/DeepSee…
Carlos Jung retweeted
💀💀💀 - Abliterated with Cybersecurity Function unleashed
Thank everybody for waiting i released a universal Abliteration with unleashed Cybersecurity for: DeepSeek v4.1 -Flash that other can apply with Stock, EXL3 3.5BPW, and TR3 hybrid.
this is based off our long lines of DSV4F Dspark preview, 0731, Vision-EXP work saving all the anchors, preserve all the MTP, Dspark, and vision.
now GO GET IT!!!!!. don't forget donate or contribute for support
HF Repo: (please read instructions on how to apply to your model)
huggingface.co/drowzeys/Deep…
Carlos Jung retweeted

Yann LeCun@ylecunSep 13
United States
United StatesConnected via United States Android AppAccount-level information, not a live location or per-post device.
Replying to @kchonyc
Exactly.
The "escapes" were made possible either through egregious negligence or deliberate purpose (marketing? Misplaced hopes of regulatory capture?).
Carlos Jung retweeted
Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead.
You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement.
I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible.
But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier.
Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want.
Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well.
So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it.
If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.
Carlos Jung retweeted
I just fixed my dishwasher with the help of ChatGPT. A trivial task. I had been about to order a new one. So this software has increased the country's real wealth yet decreased the measured GDP. The main economic indicator is structurally incapable of registering the thing that actually makes people better off, namely the growth of knowledge
























