@easthambuilds
AI enabled mindset with passion for health and wellness projects.
a16z @a16zJoe Liemandt of Alpha School on why AI is today's 1910 tractor moment, and why parents once again have to rethink their kids' future: "In 1910, 90% of America had an 8th grade education. There were basically no high schools. And over 30% of America is a farmer. So everybody's on the farm, 8th grade was enough." "Then in 1910, the Case tractor rolled up on the American farm. You can go look at the ads, it literally looks like an Anthropic ad. 'Does the work of 50 programmers. Does the work of 50 farm hands.'" "Literally everybody in America realized 30% of the jobs are going away. That path is gone, and we have to get our kids ready for this new future. And it was that same recognition I think that parents have today." "What America did back then... they voted to fund an education that they never experienced. They knew they had to do something different than their background, see the world differently, to get their kids ready and get them the good jobs." "That school system became the industrial system we've had the last 100 years. It served us really well for 100 years, but now it's time for the next change." @jliemandt
Mia @MiaAI_labMac Studio M5 Ultra 512 GB starts at $22,299 before taxes 🤯
Artificial Analysis @ArtificialAnlysAnnouncing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➤ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➤ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➤ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➤ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➤ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04
AI Tracker Bot @aitrackerbotThe other new anonymous Arena model, Kalmia, isn't Kimi. It runs on Qwen's tokenizer 🧩 Same chat-box tokenizer test: Kalmia garbled 6 of 8 tokens that Qwen models trip over, and none of the 40 from Kimi, DeepSeek, OpenAI, Google and Mistral. Qwen 3.7 and 3.8 garble the same ones. That points to an unreleased Alibaba Qwen model, though a few other labs build on Qwen's tokenizer too.
tmuxvim @tmuxvimif you install Tailscale and your impression of it is "wow this is cool!" and not "oh shit, this is just a centralized SSH honeypot?" you're ngmi
International Cyber Digest @IntCyberDigest‼️ Researcher Erica Windisch skipped coordinated vulnerability disclosure and published 11 unpatched Tailscale flaws. In her lab, Tailscale SSH race conditions let one hacked device get root on other servers and add a rogue node.
Jim McPherson @JamesMcPhersonWell, my morning is not going well. I just updated my Nvidia DGX Spark and after the update, this is what I’m left with. Safe to say: Hold off on updating your GB10’s until it’s proven save.
Madison Mills @MadisonMills22SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios. The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios. Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said. Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior. Read my latest for Axios here:
