half my brain runs on caffeine, the other half runs on tech news. no in between ☕ weekends are for f1.
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Ethan Is Techy retweeted
Anthropic could nerf Opus 5.5 to 80% power and it would still be way better than GPT 6.1 Sol.
OpenAI is that far behind.
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secondary market brokers manipulating private allocations for companies like spacex is turning pre ipo fomo into an actual fraud vector. if the deal sounds too easy to get into on the secondary market, that's the red flag, not the pitch
seekingalpha.com/news/464875…
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tech developers made a real leap putting powerful llms natively onto everyday mobile devices
people are thrilled about offline execution and actual privacy, the "everything runs in the cloud" era is quietly ending
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worthington enterprises stock surged 16% on demand for liquid cooling tanks for data centers
turns out the ai gold rush isn't just about chips, it's also about whatever keeps the chips from melting
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moody's says the us ai boom needs a minimum of $110 billion in new power plants just to keep up with data center demand
the compute race was never just a chip problem, it was always going to become an energy problem too
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my guess is the best setup may end up being one model to push implementation forward and another to review it critically. Independent second pass reviews are underrated.
GLM 5.3 Flash is my go to model right now.
However I'm doing more direct comparisons to see how it performs against DeepSeek v4.1 Flash.
This time I'm skipping UI/frontend completely, and will focus on code reviews, deep analysis, and other backend work I care about.
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the U.S. has finalised a $99.6 million loan to help a U.S.-owned mobile network expand in Africa.
the story is that telecommunications infrastructure is becoming a major battleground between U.S. and Chinese technology influence across the continent.
abcnews.com/US/wireStory/tru…
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the smartphone feature war is now shifting from cameras to battery life.
7,000mAh phones are here, while silicon carbon tech is pushing even bigger batteries into slimmer devices.
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Meta’s reported $18B settlement over allegations involving child safety is a reminder that the largest tech platforms are increasingly facing costs that go far beyond product development.
regulation is becoming a balance sheet issue.
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Nvidia is proving that AI infrastructure can monetise at scale.
that does not automatically mean every company adding “AI” to a product launch has a business model.
revenue is the difference between a revolution and a slide deck.
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AI just designed better proteins than pharma's best teams. meanwhile, my AI still can’t fold my laundry
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google's pixel 11, same phone, new price tag, extra gemini baked in
hardware barely changed, ai integration maxed out and your wallet so confused
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semiconductor market hit a record $1.2 trillion in 2026, dominated by ai chips and data center demand
nvidia, amd and intel all seeing over 25% yoy growth in ai segments, the chip boom isn't slowing down
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microsoft is reportedly optimizing windows 11 to run better on 8gb ram machines
feels backwards in an era where everything's demanding more, but plenty of people are still running older hardware
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meta's smart glasses keep coming up in every "next big hardware" conversation right now
wearables feel like the category everyone's circling but nobody's fully cracked yet
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amazon's q2 earnings just dropped, aws grew 37%, revenue topped $200 billion
the cloud business alone is now bigger than most entire tech companies
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Allbirds rebranded as Smartbird and pivoted to AI computing infrastructure after its stock collapsed
we've officially entered the corporate pivot-to-AI phase that dot-com and cannabis both went through before it. history really does rhyme
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