みんと

3.1K posts

みんと

みんと

@_Lamiaceae_

Elon Musk, うんこちゃん, 帅嘤嘤, ホリエモン, さがすずか, 加藤小夏

Se unió Haziran 2024
1.1K Siguiendo17 Seguidores
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Dustin
Dustin@r0ck3t23·
Elon Musk just put an expiration date on human language. Not because talking is slow. Because it’s lossy. Musk: “Our brain spends a lot of effort compressing a complex concept into words.” Language isn’t communication. It’s failed compression. You have a complete thought. You crush it into words. The other person catches fragments and rebuilds a guess. The rest never arrives. Every person who has ever loved you loved a compressed version of you. Not for lack of trying. The channel wouldn’t carry the rest. We don’t communicate. We approximate and hope the gap doesn’t matter. Musk: “You would be able to communicate very quickly and with far more precision.” Neuralink doesn’t improve communication. It replaces it. No compression. No loss. Thought moving at the speed it happens. Not describing the painting. Transmitting the seeing of it. Musk: “You wouldn’t need to talk.” Five to ten years until speech becomes optional. Talking survives for tone, for intimacy, for the pleasure of it. For information, it’s obsolete. A lifetime of memory in a second. Full schematics, not summaries. The entire structure of a thought, intact. Not better communication. Telepathy with an engineering spec. Musk: “Ideally, we are a symbiosis with artificial intelligence.” Symbiosis means the humans who don’t merge at high bandwidth don’t just fall behind. They stop being legible to the intelligence that matters. We’re already cyborgs running terrible hardware. Your phone extends your mind. Your thumbs are the bandwidth. Terabytes of thought throttled down to a few words a second. Neuralink doesn’t optimize that constraint. It detonates it. Five to ten years. Not science fiction. A deployment window. From language as default to neural link as standard. From crushing thoughts into words to sending them whole. From humans using AI to humans running at its speed. Every mind that has ever existed ran alone. That was never the human condition. It was a bandwidth limit. Solitude was never philosophy. It was hardware. Every thought you’ve ever had arrived somewhere smaller than it started. That’s not a flaw in you. It’s the width of the channel every human has ever been issued. The channel is the thing that changes. Not soon. But not in some other lifetime either, in this one, on a clock Musk just put a number on.
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こうこうや
こうこうや@Kokoya_art·
窓際
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Elon Musk
Elon Musk@elonmusk·
@farzyness As crazy as it sounds, goods & services output due to AI & robotics will far exceed growth in the money supply
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Elon Musk
Elon Musk@elonmusk·
@willdepue Life is short, don’t forget to have some fun
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Elon Musk
Elon Musk@elonmusk·
Product Perfection Produces Prosperity
Brett Winton@wintonARK

a vastly underrated characteristic seemingly common across all of @elonmusk enterprises: product capabilities continually improve even when they lie askance to the primary vector of improvement for the company; yes, this improvement helps the user experience, will marginally help robotaxi economics, creates a better product, but in no universe does it immediately or materially move the needle on model Y sales. it does mean that Tesla owners have a simply better product. Similarly, starlink is basically the only game in town, and yet its packaging is carefully considered, set up is near instantaneous and user-friendly; these are all things they didn't "need" to do. There is an attention to rate of improvement at the edges of the entire product portfolio that is a manifestation of corporate structure and culture, and given the breadth of products being worked, seems wildly ahistorical. Perhaps it is a function of the ruthless part and process elimination he subjects the organizations to. Very very very good design is the natural end-point of part and process elimination. That Tesla kept taking weight out of the Model X, even after its last and final refresh, is another example, and something no other auto company in history would consider. For the users of his company's products, the impact is subtle and remarkable and compounds. It also, over time, should compound into accelerating economic performance (of which I suspect we will see plenty of evidence over the next couple of years.) Though I think it's fair to say that much of Wall Street does not care for these sorts of niceties, the diffusion curve is long, but it bends towards compounding superiority.

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Tesla Owners Silicon Valley
Tesla Owners Silicon Valley@teslaownersSV·
“Some people don’t like change, but you need to embrace change if the alternative is disaster.” ― Elon Musk
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みんと
みんと@_Lamiaceae_·
DeepSeek使いになるために、トレーニングをオプトアウトする問い合わせをした 英語書けないからGrokに書いてもらった
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Artificial Analysis
Artificial Analysis@ArtificialAnlys·
DeepSeek V4 Flash 0731 scores 50 on the Artificial Analysis Intelligence Index, a 10-point jump over DeepSeek V4 Flash (released April 2026) that puts it 6 points ahead of DeepSeek V4 Pro. It shares identical architecture and pricing with the earlier DeepSeek V4 Flash, and lands on our Pareto frontier for Intelligence vs Cost per Task @deepseek_ai’s DeepSeek V4 Flash 0731 is one Intelligence Index point behind GPT-5.6 Luna (max, 51). Even after OpenAI’s 80% price cut on GPT-5.6 Luna today, DeepSeek V4 Flash 0731’s Cost per Task on DeepSeek’s first-party API comes in at ~60% lower than GPT-5.6 Luna (max), a model with comparable intelligence. A key driver of this is DeepSeek’s ~98% cache hit discount on its first-party API, a significantly more aggressive discount than the 90% cache hit discount offered by most of the industry The new model is a significant step up from the previous generation, DeepSeek V4 Flash (40), and places the model within 1 point of GLM-5.2 (max, 51). It remains 7 points behind the open weights frontier set by Kimi K3 (max, 57). For additional context, this places the model in line with recently released Gemini 3.6 Flash (50) and 1 point behind Muse Spark 1.1 (xhigh, 51). DeepSeek is expected to release the model’s full weights in the coming weeks DeepSeek V4 Flash 0731 retains a 1M token context window, and its size remains unchanged from DeepSeek V4 Flash at 284B total parameters and 13B active at inference time Key results: ➤ Improvements in agentic performance: DeepSeek V4 Flash 0731 achieves an Elo rating of 1559 on GDPval-AA v2, our evaluation focused on agentic real-world work tasks, up from 1189 for the previous DeepSeek V4 Flash. Once weights are released this will be the second highest open weights score, behind Kimi K3 (max, 1687) and ahead of GLM-5.2 (max, 1510). Terminal-Bench 2.1 rises 17 points to 79% and τ³-Bench Banking 8 points to 31% ➤ Token usage falls 12% against the predecessor: DeepSeek V4 Flash 0731 used ~206M output tokens to run the Intelligence Index, against ~234M for the previous DeepSeek V4 Flash. The new variant is more token efficient, achieving a higher Intelligence Index with a lower number of total output tokens ➤ DeepSeek V4 Flash 0731 improves over its predecessor on every evaluation in the Intelligence Index: Alongside the agentic gains, CritPt gains 9 points to 17%, SciCode 5 points to 50%, Humanity's Last Exam 5 points to 37%, AA-LCR 3 points to 66% and GPQA Diamond 1 point to 91% ➤ AA-Omniscience improvements are driven by fewer hallucinations, rather than higher accuracy: DeepSeek V4 Flash 0731 achieves an AA-Omniscience Index of -16, a +7 improvement from its predecessor. This improvement is purely driven by a reduced hallucination rate, with overall accuracy (percentage correct) unchanged. Its AA-Omniscience Hallucination Rate is 84%, a 12 point decrease from its predecessor, and comparable to models such as GPT-5.6 Terra (max, 85%) and Mistral Medium 3.5 (82%) Additional model details: ➤ Context window: 1M tokens (equivalent to DeepSeek V4 Flash) ➤ Size: 284B total parameters (13B active) ➤ Input modalities: Text input and output only ➤ Accessibility: Available through DeepSeek’s first-party API ➤ Pricing: $0.14/$0.28 per 1M input/output tokens, unchanged from DeepSeek V4 Flash. Cache hit price of $0.0028 per 1M tokens, a 98% discount
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DeepSeek
DeepSeek@deepseek_ai·
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta! 🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇 🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex! Check out the configuration details in our official API docs: api-docs.deepseek.com/quick_start/ag…
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Elon Musk
Elon Musk@elonmusk·
@dwarkesh_sp AI is already superhuman at many things. We are in the singularity.
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Pavel Durov
Pavel Durov@durov·
Russia has designated me as a “terrorist” for refusing its demands for mass surveillance and censorship on Telegram. Under Russian law, I’m banned from “publishing information on the Internet” 😌 Russian officials are clearly confused about who can ban whom from the Internet 😉
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Tim Cook
Tim Cook@tim_cook·
Japan has a very special place in my heart. We're thinking of everyone as they continue to face the effects of the Kumamoto earthquake and aftershocks. We're grateful to the first responders helping those in need. Apple is making a donation to support relief efforts.
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Thinking Machines
Thinking Machines@thinkymachines·
Today, we are releasing Inkling-Small. Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are making the full weights available. thinkingmachines.ai/news/inkling-s… Fine-tune it on Tinker today, or chat with it in text, image, and audio on Tinker Playground.
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Iorel
Iorel@Iorel_X·
X is working on a new “All” timeline for profiles! 👀 There you’ll be able to see your posts and your reposts in one place again. After the redesign, the Posts tab only showed original posts and some users weren’t happy about it. I think those users will like this! 🔥
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