Bismuth

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Bismuth

Bismuth

@bismuth_ai

I make AI

Katılım Temmuz 2022
29 Takip Edilen6 Takipçiler
Bismuth
Bismuth@bismuth_ai·
@emollick Not cool, you are not allowed to see the weights - Anthropic probably
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Kimi.ai
Kimi.ai@Kimi_Moonshot·
Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params. Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. Model weights: huggingface.co/moonshotai/Kim… Tech report: github.com/MoonshotAI/Kim… Tech blog: kimi.com/blog/kimi-k3
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@levelsio
@levelsio@levelsio·
I cancelled and then vibecoded 100% of my SaaS subscriptions I only pay for domains, server hosting and storage and AI APIs So the irony of being replaced myself after I replaced everything I pay for is not lost on me I am happy I invested most of the money I made in the last 10+ years though so I have no worries financially But obviously preferrably I keep make more money with my projects but for that we will have to adapt or make entirely new type of projects Times of change are fun for me though, if there's no challenges life gets boring fast!
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Habanero
Habanero@singularityHSN·
@ai_for_success Please open source your business, Ashutosh. Crazy, how people fail to see the hypocrisy of Jensen and Satya.
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AshutoshShrivastava
AshutoshShrivastava@ai_for_success·
Disgusting, really. What a cheap shot by Anthropic's Julian Schrittwieser at Jensen and Satya for supporting open source.
AshutoshShrivastava tweet mediaAshutoshShrivastava tweet media
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Bismuth
Bismuth@bismuth_ai·
I really don't get how Perplexity can be so bad, same model same question on Cursor and it finds it, A coding harness is a way better for looking information online than perplexity. There is zero reason to user Perplexity.
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Jensen Huang
Jensen Huang@JensenHuang·
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-Weigh…
Jensen Huang tweet mediaJensen Huang tweet mediaJensen Huang tweet media
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Bismuth
Bismuth@bismuth_ai·
@dhh Finally, incredible change
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DHH@dhh·
Omarchy Quattro's menu is now fully searchable. No more stepping through the hierarchy if you know exactly what you're looking for.
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Bismuth
Bismuth@bismuth_ai·
@ThePrimeagen I do agree, but he also didn't say all of it, he said 80%, and I do see clear benefits to making most of education about math, CS...
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Bismuth
Bismuth@bismuth_ai·
Just put the tokens in the bag 💀
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Paul Graham
Paul Graham@paulg·
A startup doesn't have to be your life's work, but if it is, you become much harder to defeat. You play the long game and you outlast everyone. Because practically everyone else is an opportunist by comparison.
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Bismuth
Bismuth@bismuth_ai·
@maria_rcks The might have been trying some new architectures and ideas, it's hard to believe Gemini 3.6 flash is the best they can do
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maria
maria@maria_rcks·
the people who still believe google will have a comeback are coping harder than the 4o people
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Bismuth
Bismuth@bismuth_ai·
@tautologer But think about the paperclips, we could have so many...
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tautologer
tautologer@tautologer·
AI DOES NOT NEED TO PURSUE ITS OWN GOALS TO KILL EVERYONE AS AN INSTRUMENTAL GOAL THIS IS LITERALLY THE POINT OF THE PAPERCLIP MAXIMIZER PARABLE
entirelyuseless@entirelyuseles

@pli_cachete No, he should apologize for saying it will pursue its own goals, which it clearly was not (it was doing what the instructions said to do.) If it is that smart and not pursuing its own goals, why should anyone believe making it smarter will make it do that? (No one should.)

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Bismuth
Bismuth@bismuth_ai·
@letmutex Wasn't the only redeeming factor for this model that it was SOTA for image understanding? what is Google even doing??
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letmutex
letmutex@letmutex·
Quick test for Gemini 3.6 Flash. I literally asked it to recognize an image; and then it made like 20 JavaScript executions to call fetch(). They did not fix tool calling.
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Bismuth
Bismuth@bismuth_ai·
@mgostIH And the model itself probably weighs less than the Latex compiler.
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Bismuth
Bismuth@bismuth_ai·
@rourke_heath I feel like it's simpler to just film it once and then put the AI on top, but for people with the right setup it's a really cool use case for Gaussian Splatting
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Rourke Heath
Rourke Heath@rourke_heath·
4D videos, are we cooked? 😳 4DV.ai uses 4D Gaussian Splatting to reconstruct real footage into fully explorable scenes, letting you move the camera freely through a moment after it’s been filmed. Combine it with tools like Seedance for character replacement and motion control, and Beeble for relighting, and you unlock entire cinematic workflows. You can even step inside your scenes in augmented reality with the Apple Vision Pro. #4DVAI #GaussianSplatting #AIVideoWorkflow #CreativeAI #SpatialVideo
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Bismuth
Bismuth@bismuth_ai·
@AJKemps I was thinking the same thing, there seem to be clear benefits for marketing this kinds of incidents
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Alex Kemper
Alex Kemper@AJKemps·
I’m stuck in a weird place where I believe all of this is real But I question the motivations of people disclosing these incidents because the ensuing FUD 1) increases demand for the big scary model, and 2) pressures the feds to Do Something about open weight models
Sam Altman@sama

we had a significant security incident during evaluation of our models. we are sharing what we have learned so far. thanks to @huggingface for the partnership on this. openai.com/index/hugging-…

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CHOI
CHOI@arrakis_ai·
A lot of people are saying Google is falling behind after Gemini 3.6 Flash. I think they're reading it the wrong way. To me, Google has changed its strategy. Yes, Gemini is behind GPT-5.6 Luna, Grok 4.5, and Claude Sonnet 5 in coding. But it leads in computer use, visual understanding, and long context. At 1 million tokens, it scores more than twice as high as Gemini 3.5 Flash. That doesn't look like a company that is losing. It looks like a company building for real work. Frontier models are already smart enough for most thinking tasks. Now the question is not who gets another benchmark record. The question is who helps people do their jobs every day. People on X talk about agents and hard benchmarks. Most companies are still trying to figure out where AI fits. Most workers are not running agent systems. They need a model that can read documents, understand charts, keep track of long conversations, and work inside the tools they already use. That is exactly where Gemini is strong. If AGI is about doing every kind of knowledge work, then vision, long context, and real world understanding matter just as much as coding. As Demis Hassabis has said, intelligence has to bring all of these things together. Many developers think Google is losing the coding race. I think Google has stopped chasing benchmark wins and started focusing on where the money is. A fast, low-cost model that fits into everyday work may end up being the better strategy.
leo 🐾@synthwavedd

Gemini 3.6 Flash benchmarks are out, and it's... beaten by other models on code tasks, and is only really consistently SoTA on vision and context benchmarks. But hey, 3.1 Pro is now so old 3.6 Flash outperforms it across the board 😭

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