push past limits | real niu for @Gradient_HQ | part time troll | full time janitor | professional edging specialist

Joined December 2024
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⬜️⬜️⬜️ ⬜️ ⬜️ ⬜️ ⬜️⬜️ ⬜️⬜️⬜️ ⬜️⬜️⬜️ ⬜️⬜️⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️⬜️⬜️ ⬜️⬜️⬜️ ⬜️ ⬜️ ⬜️⬜️⬜️ ◻️◻️ ./ training mode on… @Gradient_HQ
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the us government after seeing this:
Kimi 2.7 ranked 2nd after Fable 5 and before GPT-5 xhigh We have re-run our ErdosBench smoke test on 14 problems with Kimi 2.7, Qwen 3.7 Max, Grok 4.3 and compared it with the top performers from previous runs. Kimi 2.7 is amazingly good. More below.
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GPT Image 2 is available now on @commonstack_ai This is the latest SOTA image model from OpenAI for you to create, generate or edit images. Try now on Commonstack 🎨
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subsidies over = decline expenditure ultimately LLMs has evolved into a commodity. you can have near infinite token spend with local AI at a fraction of the cost. models might not be the best of the best, however it’s a worthy trade off. cost squeeze in action.
as subsidies in AI end, people going to cheaper alternatives. could this be the final sign for commoditization?
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meanwhile SoftBank fails to get a loan using OpenAI equity as collateral there seems to be a very distinct contrast between the different labs
bubble top might just be too early to call. Anthropic just released Claude Fable and this thing is the closest thing we have to terminator 78% cybersecurity is crazy
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bubble top might just be too early to call. Anthropic just released Claude Fable and this thing is the closest thing we have to terminator 78% cybersecurity is crazy
many people are calling the top of AI due to the many IPOs on the way and looking at the chart from the dotcom bubble too early to call?
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many people are calling the top of AI due to the many IPOs on the way and looking at the chart from the dotcom bubble too early to call?
AI companies in the 2020s is what Dell and Intel was to the boomers back in the 90s Dell did so well back in the day 2,700 employees became millionaires and nicknamed “Dellionaires” AI is a appreciative asset, open source leading the way
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being a backup is a profitable ideal, you never know when you might need it $INTC whenever others infra is down your local backup always powers through, never lose access with local ai
and you can have your very own gold digging at home via local ai. few truly understand long term benefits, build with parallax
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and you can have your very own gold digging at home via local ai. few truly understand long term benefits, build with parallax
meta and google looking to raise additional capital to fund their capex as FCF goes negative compute resources for AI is pushing the hyperscalers past their limits as they want to win these high cost will eventually be passed onto the consumer, secure local operations asap 👀
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the main barrier for application releases now is your creativity and critical thinking. does it actually solve something? or a gtm issue? you get near infinite tries on open source models ran locally to figure out product.
Massive output uptick due to agentic AI. Complete flat adoption.
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meta and google looking to raise additional capital to fund their capex as FCF goes negative compute resources for AI is pushing the hyperscalers past their limits as they want to win these high cost will eventually be passed onto the consumer, secure local operations asap 👀
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as subsidies in AI end, people going to cheaper alternatives. could this be the final sign for commoditization?
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local can be used nonstop without rate limits. upfront cost could work out the math long term depending on the hardware
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scale of ai buildout in chart form is just a rocket up. the spending increase is over 350% since 2022. models thinking, reasoning and work type has gotten increasing more complex infra trying to catch demand. local ai looks good here, guaranteed to always have it.
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AI companies in the 2020s is what Dell and Intel was to the boomers back in the 90s Dell did so well back in the day 2,700 employees became millionaires and nicknamed “Dellionaires” AI is a appreciative asset, open source leading the way
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maybe after heavy dilution could be 80% less. even then it’s still well over a cool mill
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CPU semis on a real run. agentic AI uses cpu as task orchestrators for memory, i/o and enforcement as the gpu processes the reasoning for AI (core inference) context windows, data movement and tool calling are heavily cpu based.
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Nvidia releasing Nemotron 3 Ultra later this week - 550B parameters (55B active) - frontier open model performance - 30% cheaper - 5X speed increase Completely open. Gawd lord
Nemotron 3 Ultra is coming this week. ⌛️
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M3 delivers. outperforms Opus 4.7 in BrowserComp. MiniMax’s first 1M context model pretty much 5x context from its previous models of around 204,800 and it supports video input too, multimodal built in as core.. 🥴🎥 beautiful.
Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: platform.minimax.io Token Plan: platform.minimax.io/subscrib… 🚀New! MiniMax Code: code.minimax.io Weights & Tech Report in ~10 Days
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and agentic token usage growth expectations look like this btw. if you cannot supply, the price goes vertical. bullish on local and distributed edge ai inference.
JPM on '27 data center build out: "The latest analysis based on satellite images shows that over 60% of data center capacity planned for completion in 2027 has not begun construction with another 7% delayed"
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