๐ฅ Discover this awesome post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: A fact that never ceases to amaze me: due to the Marvel movies, a lot of moms know who Thanos is. No offense to moms! What I mean is that as a teenager in the early 2000s I personally knew why the Avengers were always fighting big purple Thanos because I sometimes read comic books. But back then I never would have expected a mom (mythic figures of great power, actual adults) to share this knowledge. Back then, Thanos existed only in overwrought pages like…
๐ Explore this trending post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: I have come to understand four very different time scales for development of technologies and their deployments. ย And I think people often jump between them and end up making outrageously wrong, and sometimes damaging, predictions of when in the future a technology is going to be able to do what. Time scale 1. New Research Ideas New research ideas take ten to twenty years to form before there is an understanding to bring them to really solid lab demonstrations. ย Some things take much longer as…
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**What Youโll Learn**: Blocked Your request has been blocked due to a network policy. Try logging in or creating an account here to get back to browsing. If you're running a script or application, please register or sign in with your developer credentials here. Additionally make sure your User-Agent is not empty and is something unique and descriptive and try again. if you're supplying an alternate User-Agent string, try changing back to default as that can sometimes result in a block. You can read Reddit's Terms of…
๐ฅ Explore this trending post from Hacker News ๐ ๐ **Category**: ๐ก **What Youโll Learn**: Over the past several months, weโve seen an explosion in the capabilities of open source models. With DeepSeek V4-Pro and GLM5.2 reaching near-Opus levels of intelligence, open source has emerged as a real, cost-efficient alternative to the closed source models weโve been married to. But we have yet to see one like Kimi K3. Promising Fable/Sol levels of intelligence, Kimi K3 marks the start of a new era for open source. But a smarter model means a bigger model โ and these models are expanding…
๐ฅ Discover this awesome post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: As is typical here in the Floodgap lab, it all started so innocently: rebuilding a flaky Apple Workgroup Server 9150, the odd duck of the Workgroup Server line and older cousin to our beloved Apple Network Server. And then I just had to pimp it out for MkLinux. Before the sui generis IBM AIX-based Apple Network Server, one of our favourite machines here at Floodgap, there were the WGSes, the Workgroup Servers, Apple's well-intentioned but conflictingly received line of Macintosh rebadges hopped up with high-spec…
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**What Youโll Learn**: Futurism wanted a corpse. Meta gave it a messy earnings report, so the publication wrote an obituary. โDespite having almost nothing to show from his enormous spending on AI,โ begins the July 31 article, headlined โMark Zuckerbergโs Pivot to AI Is Blowing Up in His Face Spectacularly.โ By the end, Meta is described as โpractically absent from the frontier AI model race.โ Muse Spark is supposedly outdone by competitors in โmost tasks.โ Muse Image is waved away as an โafterthought.โ Metaโs users and engagement…
๐ฅ Read this awesome post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: Go 1.27 is coming soon, so itโs a good time to get a head start on whatโs new. The official release notes are pretty dry, so hereโs a hands-on version with runnable examples showing what changed and how the new behavior works.A quick credit first: the interactive Go tours were started by Anton Zhiyanov, who wrote one for every release from Go 1.22 through Go 1.26. Heโs decided to stop, so weโre picking up where he left off. His earlier tours are all still worth…
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**What Youโll Learn**: Iโve been working on a spec for months. Finally…every stakeholder approves. Iโve cataloged every piece of code that needs to be migrated in a Notion DB. Iโm working on one of the first PRs and then I see it…โ…ffffuuuuuummmmccckkkk mmmmmmeee…โThe fucking โtransactionsโ are being committed while wearing a coat of atomicity.โfuck, fuck, fuck, how the fuck did I miss this.โLooking through my notes…I see…โinvestigate random-ass commitsโ and I forgot to account for them…ORMs can blow your leg off, this ainโt that rant.Parametrized SQL statements can…
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**What Youโll Learn**: (D)TLS 1.2 supports a variety of key exchange algorithms, including RSA, Diffie-Hellman (DH) over a finite field, and Elliptic Curve Diffie-Hellman (ECDH).ยถ DH key exchange, over any group, comes in ephemeral and non-ephemeral varieties. Non-ephemeral DH algorithms use static DH public keys included in the authenticating peer's certificate; see [RFC4492] for discussion. In contrast, ephemeral DH algorithms use ephemeral DH public keys sent in the handshake and authenticated by the peer's certificate. Ephemeral and non-ephemeral finite field DH algorithms are called DHE and DH (or…
๐ฅ Check out this trending post from Hacker News ๐ ๐ **Category**: ๐ก **What Youโll Learn**: ResearchersOverviewKyoto, Japan -- Habit formation describes the repeated performance of a behavior until it becomes routine: in other words, the shift from deliberate to automatic decision-making. This concept is often invoked as a way to improve one's life by making a routine of beneficial activities that can otherwise feel tedious, such as cleaning, studying, and regular exercise.That repeating the same behavior is essential for forming a habit has become well-established, but whether a habit develops as an exact replication of the original behavior, or…
