Sean Kerner (@TechJournalist) profile picture

IT consultant, technology user, tinkerer and sometimes Klingon ; tips [email protected]

online
Joined July 2008
Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)
Emergent AI priorities… learning @ITRGlinks Toronto event
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Used to be a big fan of @neondatabase. No more. First they killed pg_search, which is a wild thing to do to prod apps. Then we had an outage last week. Raised urgent support ticket; pinged on discord; no response in 5 days (still 🦗). Suggestions? Looking at @PlanetScale.
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Airworf Bloody genius, whoever made this made my day 😂
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me using Fable 5.2 to center a div
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No question @AnthropicAI Fable 5.2 is the best ever for vibe coding games with @threejs - I zero shot this with a @mattshumer_ style gauntlet (not AAA but still pretty darn impressive) scifi-trench.pages.dev
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We wanted to do more for the people who’ve been with us the longest. So with Fable 5.2, the longer you’ve been subscribed, the more Fable resets you get.
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
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Optical inference could (potentially) be a real solution for the power,cooling and density issue that AI data centers face. But first it has got pass a critical test. “GPUs are silicon chips that use transistors to perform the matrix multiplications at the heart of AI inference,” Phillip Burr at Lumai explained to me. “Optical compute uses the properties of light to perform the same matrix multiplications, completing millions of operations in a single optical cycle.” datacenterknowledge.com/ai-d…
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I see reasons for cautious optimism in @Broadcom’s latest @VMware moves: A smaller way to stay, and a stronger private-cloud proposition. The test is value customers actually use, and terms they can trust. VMware has to earn its next renewal. Too many CIOs now have credible exit plans. Our detailed analysis of the latest moves: thisisfrontier.ai/news/vmwar…
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Gotta love so called *exclusives* today. Apparently @Ocient (a company I used to cover closely) had some funding today. One pub (I see you @axios ) claims they had an exclusive - but looks like multiple pubs got the news the same time...
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Finally. Electron is easy for devs but yeah the Discord app was always a 🤮
Discord is ditching Electron and its new app uses less RAM 🙏 Discord is moving its apps fully over to the Rust programming language. Details 👇 theverge.com/news/1027379/di…
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We published the exact filter @DoxxnetHQ runs against CVE-2026-98432, with the nftables rules and the RFC behind each one. If you run an ISP, a host, a VPN or a mesh, you're one function away from making this exploit undeliverable to every Linux box behind you. doxx.net/blog/network-operat…
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I have seen some vendor call this the context too (even though it’s really not), others call it a data plane. Oh and then there are the - Everything is retrieval (RAG Forever!) folks.
is org/agent level memory just "skills"? assuming there is process for updating skills from agent traces/history why or why not?
22%memory = skills
64%memory != skills
15%👀
694 votes • Final results
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Using a stick of RAM to stir my coffee this morning, fuck you, Sam Altman
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A lot of content engineering challenges have pretty standard solutions, which has lead to some engineers saying agent engineering is solved/boring True to some extent, but there are a bunch of (fun) new ones emerging as agents evolve!
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