Local AI · Stretching a Single RTX 4090 24GB Form Over Function

Joined May 2024
OpenAi being the 3rd lab right now after Meta release, its something i didn't see coming. Wild Monday.
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Ghost In The Stack retweeted
Replying to @netcapgirl
That gap between seeing the pace and having the vocabulary to explain it is brutal. It’s like being fluent in a language everyone else is still learning.
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Ghost In The Stack retweeted
We're giving away a CONTROL Resonant custom wrapped NVIDIA GeForce RTX 5080 to celebrate its official release with #RTXON. To enter: 🟢 Share this post 🟢 Comment #RTXON
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Ghost In The Stack retweeted
Sorteamos una NVIDIA GeForce RTX 5080 con diseño personalizado de CONTROL Resonant para celebrar su lanzamiento oficial con #RTXON. Para participar: 🟢 Comparte esta publicación 🟢 Deja un comentario con #RTXON
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Ghost In The Stack retweeted
Wir verlosen zur Feier des offiziellen Releases von CONTROL Resonant mit #RTXON eine individuell designte NVIDIA GeForce RTX 5080 im CONTROL-Resonant-Look. So nehmt ihr teil: 🟢 Teilt diesen Beitrag 🟢 Kommentiert mit #RTXON
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15 minutes for thousands of people to decide whether to cancel their ChatGPT subscription or not. 😂
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If they had called it GPT-6.0 Terra, it would have been a good launch actually.
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Ghost In The Stack retweeted
One more thing: we’re increasing five-hour usage limits on Pro, Max, and Team plans. We’re also providing subscription users a rate limit reset, which you can save and use whenever you choose.
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Tbf it's the same mental process I go through when someone greets me.
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Wait what? We just had Qwen Image 2.1 and they already talking about 3.1? Please guys, gimme a break, i can't keep up 😭
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Direct comparison of Krea2 vs Qwen Image 2.1 Same prompt, same output resolution, same seed, no loras. Krea 8 steps CFG 1, Qwen 25 steps CFG 1 (Recommended values ​​for both). Judge the result for yourselves. Firts pic Krea2, second pic Qwen Image 2.1. Which one do you think wins? More pics ⤵️
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If i play with and tweak some of the 200gb of loras i have for Krea 2, beats Qwen like prime Mike Tyson to a Child, but tbf when Qwen has a complete ecosistem of loras like Krea2 can be my main model for local image, its a good one.
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Ghost In The Stack retweeted
The core issue is not that SuperGrok Heavy “always included only $100 of Other Models.” When SuperGrok Heavy users first claimed Cursor Ultra, they were given the full Ultra third-party pool — $400, the same Other Models allowance that paid Ultra subscribers get. That is what people actually received in the first cycle. What changed is the second month. After the user renewed SuperGrok Heavy and the Ultra grant was re-issued, that same Other Models pool was cut from $400 to $100. Support is now treating $100 as if it had always been the Heavy-linked amount, and saying $400 “only applies to paid Ultra.” That rewrite ignores what users were actually given on first claim. That is the lack of good faith. If the bundled Ultra was always a reduced product, Cursor should have said so at claim time — on the dashboard, in the promo, and in billing copy. Instead, users were shown Ultra, used it as Ultra ($400 Other Models), then hit a lock at ~$155 in the next cycle while being told the $400 figure never applied to them. Calling this a “dashboard distinction” does not fix it. The distinction was not disclosed when the benefit was first granted. Reducing the pool after renewal, then acting as if $100 was the original terms, is the problem.
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Cursor downgrade his Ultra accounts usage from 400$ to 100$ for the people who has it from SuperGrok Heavy and seems nobody on X cares about it? No warning, borderline illegal. Common guys, they can't get away with this. xitter.cf/GhostInTh3Stack/status…
Incredible. I already have @Cursor's answer as to why the limits are disappearing. Users who have Cursor Ultra through the SuperGrok Heavy subscription have had their "Other Models" usage pool reduced from $400 to $100. A 75% cut overnight. Without warning. Or at least I hadn't noticed. In fact, I could swear I read somewhere that the pool was now $500 and I was happy about it, until today. Has anyone else heard about this? The best subscription in my stack and my favorite harness are now useless. What a disappointment. @spacexai , @grok
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Incredible. I already have @Cursor's answer as to why the limits are disappearing. Users who have Cursor Ultra through the SuperGrok Heavy subscription have had their "Other Models" usage pool reduced from $400 to $100. A 75% cut overnight. Without warning. Or at least I hadn't noticed. In fact, I could swear I read somewhere that the pool was now $500 and I was happy about it, until today. Has anyone else heard about this? The best subscription in my stack and my favorite harness are now useless. What a disappointment. @spacexai , @grok
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Replying to @cursor_ai
@cursor_ai Yesterday 16 Sep i max out my "Other Models" limit usage in my CURSOR ULTRA, on the last day of the month just before the monthly reset with a total of 591,02M tokens on Fable 5.1 (261M on the last day of the month before the reset) and a lot of other models usage like Sol 5.6 prior to that, to reach the 100% monthly limit. Today 17 Sep after the monthly reset i ask Fable 5.1 a few things, used only 21,8M and that translated to a 27% of my monthly usage for this month?!?! WHAT IS GOING ON CURSOR? Its a bug or you guys nerfed the "Other Models" usage into oblivion? Its a 200$ acc and 4 to 6 simple tasks to Fable is going to max out my "Other Models" limit now? Someone else with the same experiencie? Please help i dont know whats going on 😭 @cursor_ai
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Anyone knows someone at @cursor_ai who i cant talk with? 😭 @grok help
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I’m ten times more excited about Grok 4.7 tomorrow than I was about Astra or Fable 5.1. After the absurd limits from OpenAI and Anthropic, xAI is the last hope for a capable and usable model to me. I’m sure im not the only one.
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Announcing Artificial Analysis Intelligence Index v4.2. We are accelerating elements of our upcoming v5 release with interim updates to keep pace with the frontier. Index v4.2 has more complex and realistic tasks, and more private test sets to prevent gaming Intelligence Index v4.2 changelog: + AA-Briefcase, our agentic knowledge work evaluation with a private test set + @HelloSurgeAI's GDP.pdf, long context document reasoning across 4,592 PDF pages - GPQA Diamond, an exceptional scientific reasoning evaluation that has now been saturated … plus greater weighting on held-out test sets to prevent gaming, and grading infrastructure upgrades to increase robustness This update brings the Index closer to real-world use cases with more challenging, complex and realistic tasks and private test sets to prevent gaming. We have been planning and building elements of Index v5 for months - it’s been 8 months since we launched Index v4 in January. We have deliberately held back updates to keep the Index stable through recent major model launches. However, with the frontier moving so quickly in the past weeks, we feel it is important to deliver an immediate interim update to ensure our Index remains as relevant and useful as ever to users. Beyond this interim update, our team is hard at work on v5 of the Index. We are planning more incremental releases in the near future. Stay tuned! Intelligence Index v4.2 changes in detail: ➤ Adding AA-Briefcase: Our in-house evaluation with a private held-out test set, AA-Briefcase tests models on realistic agentic knowledge work tasks in complex projects built by industry experts. Models are evaluated on multi-week knowledge work projects, each with many linked tasks and thousands of input source files. AA-Briefcase combines rubric and pairwise grading to evaluate verifiable task success, analytical quality, and presentation quality, giving a holistic view of overall agentic capability in knowledge work. ➤ Adding GDP.pdf: Created by @HelloSurgeAI, GDP.pdf evaluates single-turn professional document reasoning across 100 PDFs and ten domains. Models must synthesize evidence distributed across 4,592 pages, including text, tables, charts, footnotes, and exclusions. Responses are graded against 1,275 expert-authored atomic criteria; the headline All-pass Rate credits a task only when every criterion is satisfied. ➤ Weighting to measure real-world use and prevent gaming: 40% of our Index weighting is now private, held-out test sets - double the figure from v4.1. Held-out data includes AA-Briefcase, AA-Omniscience, and solutions for CritPt. This reduces the ability for labs to game evaluations. The held-out percentage will increase further in Index v5. ➤ Improving our grading infrastructure: In AA-LCR v1.1, we have added a grading system prompt and corrected errors and ambiguities in answer keys, improving scoring accuracy. For GDPval-AA v2 and AA-Briefcase, we have improved our sampling and re-anchored the Elo scale, making ratings more stable as new models are added. For SciCode we have improved robustness of grading sandboxes to ensure slow but correct code does not count as a failure. Key results: ➤ Anthropic and OpenAI lead the Index: Anthropic’s Claude Fable 5.1 leads the Index, followed by OpenAI’s GPT-6 Astra, which shows a 4pt gain over GPT-5.6 Sol. Meta is the third-ranked lab on the leaderboard, followed by SpaceXAI, Moonshot/Kimi, Z AI, and Google ➤ Cost per Task Pareto frontier shared by four labs: Anthropic, OpenAI, Meta and Z AI occupy the updated Cost per Task Pareto frontier ➤ GPT-6 Astra dominates the output token Pareto frontier: GPT-6 Astra is more token efficient than almost every other model near the intelligence frontier, with Claude Fable 5.1, Grok 4.5 and Gemini 3.5 Flash-Lite at either end of the curve (excludes models below 25 on the Index)
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I think the author of this post and most of the people in the comments section don't have two brain cells combined. The number of idiots per square meter is astounding. Dozens of people demanding she sue for showing the Blender loading screen... definitely a large part of this society is finished.
It disgusts me that my artwork appeared in OpenAI add
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