its not significant because its expected on the exponential curce? pic.twitter.com/cyae6JSIPw
— Chubby♨️ (@kimmonismus) 14 avril 2026
its not significant because its expected on the exponential curce?
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its not significant because its expected on the exponential curce? pic.twitter.com/cyae6JSIPw
— Chubby♨️ (@kimmonismus) 14 avril 2026
its not significant because its expected on the exponential curce?

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Top stories in tech today: – Meta on track to dethrone Google in digital ads
– Roblox builds a wall between kids and everyone else
– France is ditching Microsoft for Linux
– Huawei jumps ahead in the wide foldable race
– Quick hits on other tech news

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Your "cheaper" AI reasoning model is secretly costing you more! A new study by Lingjiao Chen, Chi Zhang, Yeye He, Ion Stoica, Matei Zaharia, James Zou from Stanford University, UC Berkeley, CMU, and Microsoft Research uncovers the "pricing reversal phenomenon" in LLMs. They
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You know, the landing page of The Technology Letter, which is free to browse, is like a daily map of what’s going on with tech stocks. Even if you’re not a subscriber, you can at a glance get a sense of some of the top stories affecting tech equities on any given day.… pic.twitter.com/30XVBnnIKk
— Tiernan Ray (@TiernanRayTech) 14 avril 2026
You know, the landing page of The Technology Letter, which is free to browse, is like a daily map of what’s going on with tech stocks. Even if you’re not a subscriber, you can at a glance get a sense of some of the top stories affecting tech equities on any given day.
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The question that's currently on my mind is this: Chinese models are about six months behind those of US Frontier Labs. Does this also apply to "Mythos"? Is it foreseeable that, for example, Qwen will release a similarly significant model as Claude "Mythos" in six months, or are
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This always happens with every new tech fad. When I was first starting out in Data Science all these startups wanted to be “data driven” even when they had no clear idea what that meant, or had any data, or had garbage irrelevant data at best.

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When you chase a low valuation on some assets, it can be what’s called a “value trap,” just because nothing about those assets is going achieve full value anytime soon. It’s often an appealing speculation but I don’t think it’s the best investment. Simply put, I don’t think Intel

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The Agentic Shift:5 #AI Trends Redefining Business by 2026
by @Khulood_Almani #LLM #GenAI #ArtificialIntelligence #MachineLearning

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80% of financial services firms use AI. Only 27% see financial benefits, a recent study shows. The gap is getting models into the hands of the people making credit decisions, underwriting calls and compliance reviews. That's what Rev NY on 5/19 is about: https://
hubs.ly/Q04bSSTQ0
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If you think that naval blockade of 20% of World’s oil is bad, wait to see what happens when the supply of 95% of the most advanced chips is cut off.