Quick new post: Auto-grading decade-old Hacker News discussions with hindsight I took all the 930 frontpage Hacker News article+discussion of December 2015 and asked the GPT 5.1 Thinking API to do an in-hindsight analysis to identify the most/least prescient comments. This took ~3 hours to vibe code and ~1 hour and $60 to run. The idea was sparked by the HN article yesterday where Gemini 3 was asked to hallucinate the HN front page one decade forward. More generally: 1. in-hindsight analysis has always fascinated me as a way to train your forward prediction model so reading the results is really interesting and 2. it's worth contemplating what it looks like when LLM megaminds of the future can do this kind of work a lot cheaper, faster and better. Every single bit of information you contribute to the internet can (and probably will be) scrutinized in great detail if it is "free". Hence also my earlier tweet from a while back - "be good, future LLMs are watching". Congrats to the top 10 accounts pcwalton, tptacek, paulmd, cstross, greglindahl, moxie, hannob, 0xcde4c3db, Manishearth, and johncolanduoni - GPT 5.1 Thinking found your comments to be the most insightful and prescient of all comments of HN in December of 2015. Links: - A lot more detail in my blog post https://t.co/7LpJEVgbyk - GitHub repo of the project if you'd like to play https://t.co/WVQUbUzt2y - The actual results pages for your reading pleasure https://t.co/e2XIYElnc5

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We have just used the @Nvidia H100 onboard Starcloud-1 to train the first LLM in space! We trained the nano-GPT model from Andrej @Karpathy on the complete works of Shakespeare and successfully ran inference on it. We have also run inference on a preloaded Gemma model, and we plan to try more exciting models in the future. Getting the first H100 to work in space required a lot of innovation and hard work from the incredible Starcloud team to make this breakthrough. This is a significant first step toward moving almost all computing off Earth to reduce the burden on our energy supplies and take advantage of abundant solar energy in space! 🚀

🚨#BREAKING: The man stabbed in the chest by an illegal alien on the train in Charlotte NC, Kenyon Dobie, is in critical condition with a tube in his chest, pumping blood out of his lungs. According to authorities, Dobie was the only person who stood up and told the drunk illegal to stop screaming at riders, including an elderly woman on the train. For his efforts, he was knifed in the chest. "I guess it’s better off that it happened to me and not an older person. I wasn’t trying to be a macho man, but what I won’t allow is you to attack random people for no reason, especially the elderly..."

STARLINK NEWS: NetJets announced an agreement with SpaceX to equip Starlink on over 600 aircraft in its global fleet by the end of 2026! Rollout starts this month targeting models including Cessna Citation Latitudes, Embraer Praetor 500s, Cessna Citation Longitudes, Bombardier Challenger 350s and 650s, and the full Bombardier Global fleet in the U.S. and Europe. Per Patrick Gallagher, NetJets Aviation president, "This agreement with Starlink positions NetJets to continue delivering exceptional travel experiences for our Owners and their guests... for business or leisure, as seamless connectivity is critical to the experience our Owners need and deserve." Per Jason Fritch, SpaceX VP of Starlink Enterprise Sales, "With Starlink onboard your NetJets flight, you’ll be able to boost productivity, have seamless video calls, stream on demand, and game just as you can do on the ground. We’re excited to level up the NetJets travel experience and maintain our commitment to deliver exceptional connectivity from 40,000 feet."

EU fined 𝕏 over its blue check system even though card payments already tie verification to real identity. Meanwhile they did not fine Meta, even though it also offers paid blue checks. Why penalize 𝕏 but not Meta? https://t.co/OZVUT0qkYB

-Digital art is global- Your timeline is your 24/7 art fair 𝐆𝐞𝐧𝐞𝐬𝐢𝐬-Ø 86 × 166 × 6 cm (33.9 × 65.4 × 2.4 inches) .GIF Minted on the collector’s preferred chain. Will be minted upon purchase. Modular LED system - P1.25 Recycled HDPE plastic, aluminum profile, steel frame. 2025 Available via OTC / DM✉️ Details⬇️

Made a site comparing the sizes of living things :) The great Julius Csotonyi spent 5 months painting over 60 illustrations for the site, no ai used https://t.co/8z9InrkHVQ

"ask" and you shall receive! SemTools now ships with a dedicated "ask" CLI command - performs agentic search over documents - combine with `parse` to create QA workflows over unstructured data - cache your indexes with `workspaces` Learn more: https://t.co/3f2Mfg3xCc

introducing AI Fashion Try On > upload your outfit > choose a model > generate a UGC video live today on https://t.co/u6O0YGkBCf https://t.co/wbnVvCx3Xx

What if your help docs updated themselves… and an AI actually used them to answer every question 24/7? Today I am shipping AI Answers for Ferndesk. The easiest way to help customers self serve from self updating docs. https://t.co/I6e6JHUZgC

Senior @SAP consultants rated results they were told came from interns as 95% accurate - then rejected the exact same work when they learned it was generated by an #AI copilot. Read the full story on VentureBeat: https://t.co/T2CdUNZ4IR https://t.co/Ii7bRObUey

Today we started rolling out SimGym — a system that creates “digital customers” that behave like real ones. They browse your site, complete tasks, and reveal optimization opportunities. You can even run A/B tests with *zero* live traffic! Spent a year developing it. https://t.co/W1XYgpObcs

Even if you hate AI stuff, I'd challenge you to find ONE thing in this list that you think is valuable and kinda cool. I think they all are, and each gives someone a superpower they didn't have before. https://t.co/Uh7VX0W68p

For those wondering, this was part of the 2.0.64 release: https://t.co/nm5TXZ8UxF

Today we open source Nomos 1. At just 30B parameters, it scores 87/120 on this year’s Putnam, one of the world’s most prestigious math competitions. This score would rank #2/3988 in 2024 and marks our first step with @hillclimbai towards creating a SOTA AI mathematician. https://t.co/YoJxrUyJWo

Holy moly, thats insane: Nomos 1 is a 30B open-source model that just scored 87/120 on this year’s Putnam, good enough for an estimated #2/3988, showing that near–top human math performance is now possible with relatively small models plus good post-training and reasoning setup. This puts a state-of-the-art AI “mathematician” and its full reasoning capabilites into everyone’s hands, lowering the barrier to serious math research, verification, and advanced reasoning tools.

Mistral just released Devstral 2 123B Instruct 2512 https://t.co/4cPALeG6Ju

@soul_surfer78 I see. That's a bigger topic since you also want to cost controls, security, scaling etc. @LightningAI may be a good option here. E.g., see the beginner tutorials via https://t.co/RLVKveXBkk and https://t.co/GIEVvtcGX1

The European Union is batshlit crazy. They fined X (and Elon) for blue check verification. It costs $8 per month to get verified Credit/Debit cards have identifying info, including payment address. https://t.co/zsTGAlnyge

🇺🇸 ELON: WE DON’T WANT AMERICA TO TURN INTO A COMMUNIST HELLHOLE Elon spoke bluntly about the political ripple effects of concentrated voting blocs reshaping U.S. politics in ways few are willing to talk about: “Well, let’s look at Ilhan Omar, who was literally voted into Congress by a large group of people from Somalia who are in Minnesota, which is really far from Somalia. Or Mamdani who was voted to be mayor by a majority of people who were not born in America, that’s my understanding, at least. And then California is a big-time situation. So, I don’t know. We just don’t want to turn into a communist hellhole, basically.” Source: @KatieMiller @elonmusk

🍌 New Nano Banana prompt idea: your profile picture as NYC subway mural! ✨ Prompt and reference images 👇 https://t.co/Qtbe4BI4gR

Got a bit carried away! Here's more Cities using @NanoBanana and prompted by watching Matt Wolfe @mreflow https://t.co/UWj53t445q

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An old line got an extension #MetroMapMaker https://t.co/DtM8AsiMRV

I don’t even know what this is called but I need like 10 of them. https://t.co/X0P5xNjjqS

I’m speaking Saturday at @SolanaConf about how @BAXUSCo is redefining RWA as Real World Applications, starting with whisky. We’ve built IoT hardware, decentralized pricing, and blockchain rails to make real-world apps actually work. And yes… a little mobile surprise is coming 👀 See you at Breakpoint 🥃⚡️

Presentation One: ✅ Thanks to @jito_labs and the MEV Day team for having me. Now gearing up for the debate with Marco, Miller and Rebecca on Thursday for the full @SolanaConf session. https://t.co/NEcOPEOHlS

Very few are talking about proactive agents, but they are coming! Current LLM agents wait for you to ask for help. But the best assistant anticipates what you need before you ask. Existing agents follow a reactive paradigm. Users must unlock their phone, navigate to an app, and issue explicit instructions. During a conversation about travel plans, you have to manually ask for weather updates. While shopping, you have to explicitly request price comparisons. This new research introduces ProAgent, an end-to-end proactive agent system that continuously perceives your environment through wearable sensors and delivers assistance before you ask. The key idea: instead of waiting for commands, ProAgent uses egocentric video, audio, motion, and location data from AR glasses and smartphones to anticipate user needs. An on-demand tiered perception system keeps low-cost sensors always on while activating high-cost vision only when patterns suggest assistance opportunities. When you're at a bus stop, ProAgent notices the last bus just left and offers to book an Uber. During a conversation about weekend plans, it proactively checks the weather and your calendar for conflicts. While browsing headphones in a store, it finds lower prices online and gathers reviews. Results across real-world testing with 20 participants: ProAgent achieves 33.4% higher proactive prediction accuracy, 16.8% higher tool-calling F1 score, and 1.79x lower memory usage compared to baselines. User studies show 38.9% higher satisfaction across five dimensions of proactive services. The system runs on edge devices like NVIDIA Jetson Orin with 4.5-second average latency, keeping all data local for privacy. Shifting from reactive to proactive agents reduces both physical and cognitive workload. You stop missing timely information during conversations and attention-intensive tasks. Paper: https://t.co/3zFVP5igxe Learn to build effective agents in our academy: https://t.co/zQXQt0PMbG

Full spec-driven framework with templates and common mistakes: https://t.co/HgvX7tb9UN Includes: → Spec template you can copy → 4-phase workflow → Mistakes that burn time

The founders who master this will ship their first paying feature while others are still debugging tutorial projects. Check out https://t.co/RspY4vohjW

🚀Want to wave goodbye to marketing bottlenecks? @gradialai’s got you covered. With an agentic AI platform powered by Amazon Bedrock & Amazon Nova models, Gradial is streamlining & automating the content supply chain, reaching 99.9% accuracy. 👉 https://t.co/Qbol9f8P3i https://t.co/XXfneAMUO4

Where will entry-level developers gain the experience they need, as AI takes over grunt work? https://t.co/7YekTkMPO3 At Open Source Summit Japan, Sakana AI researcher @Stefania_Druga suggests AI could help solve this conundrum. “AI may be getting smarter, but humans must not become less so. If the communities that underpin shared technical knowledge collapse—open source, mentoring networks, Q&A sites, classrooms—we will lose not only future developers, but the collective ability to understand and shape our tools.”

Where will entry-level developers gain the experience they need, as AI takes over grunt work? https://t.co/7YekTkMPO3 At Open Source Summit Japan, Sakana AI researcher @Stefania_Druga suggests AI could help solve this conundrum. “AI may be getting smarter, but humans must not become less so. If the communities that underpin shared technical knowledge collapse—open source, mentoring networks, Q&A sites, classrooms—we will lose not only future developers, but the collective ability to understand and shape our tools.”