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  <title>upsy.si</title>
  <subtitle>watching superintelligence happen</subtitle>
  <link href="https://upsy.si/"/>
  <link rel="self" href="https://upsy.si/feed.xml"/>
  <id>tag:upsy.si,2026:feed</id>
  <updated>2026-10-11T22:42:49+00:00</updated>
  <rights>Headlines and links belong to their publishers. upsy.si aggregates and links out.</rights>
  <entry>
    <title>Minimum required pacing: finish aligning it before you train the next one</title>
    <link href="https://www.alignmentforum.org/posts/ZWSstGSwmaxTjQ8W7/minimum-required-pacing-finish-aligning-it-before-you-train"/>
    <id>tag:upsy.si,2026:8bde83731b6a5595</id>
    <updated>2026-10-11T21:55:26+00:00</updated>
    <summary>Let&#x27;s say we coordinate to pace the frontier, but we don&#x27;t coordinate on an outright pause. What should the standard of pacing be? My proposal for a minimum requirement: a lab cannot train the next generation of models (in terms of capabilities) until they have adequately [1] resolved all…</summary>
    <source url="https://www.alignmentforum.org/feed.xml">Alignment Forum</source>
  </entry>
  <entry>
    <title>Large to Small Model Stitching Destroys What You Built It to Carry Along the Fit</title>
    <link href="https://www.lesswrong.com/posts/hww4XcMXuRcqffqKx/large-to-small-model-stitching-destroys-what-you-built-it-to-1"/>
    <id>tag:upsy.si,2026:1c146dc9a8dce003</id>
    <updated>2026-10-11T19:17:57+00:00</updated>
    <summary>Independent research; early stage. Posting for feedback, particularly on whether the effect survives at realistic scale, and on prior work I&#x27;ve missed. Model stitching is extensively used in AI Safety infrastructure in reusing SAE &amp; probes to make interpretability cheaper; transferring refusal…</summary>
    <source url="https://www.lesswrong.com/feed.xml">LessWrong</source>
  </entry>
  <entry>
    <title>Will the HomeView be Apple’s first smart home success?</title>
    <link href="https://techcrunch.com/2026/10/11/will-the-homeview-be-apples-first-smart-home-success"/>
    <id>tag:upsy.si,2026:7d4e278f0b748445</id>
    <updated>2026-10-11T21:14:40+00:00</updated>
    <summary>Apple will announce a new smart home hub on Tuesday called the HomeView, according to Bloomberg’s Mark Gurman. Over the past couple of years, we’ve seen There have been multiple reports that Apple was working on a new smart home product, but now it seems the product has a name and a launch date…</summary>
    <source url="https://techcrunch.com/category/artificial-intelligence/feed/">TechCrunch AI</source>
  </entry>
  <entry>
    <title>Silicon Valley is falling in line with Trump’s attempt to rename AI</title>
    <link href="https://www.theverge.com/ai-artificial-intelligence/1009406/silicon-valley-is-falling-in-line-with-trumps-attempt-to-rename-ai"/>
    <id>tag:upsy.si,2026:7ec8afeed3530ddc</id>
    <updated>2026-10-11T18:33:56+00:00</updated>
    <summary>Musk, Benioff, Huang, and now Nadella have all capitulated to Trump’s ‘super intelligence’ rebrand.</summary>
    <source url="https://www.theverge.com/rss/ai-artificial-intelligence/index.xml">The Verge AI</source>
  </entry>
  <entry>
    <title>Recursive Self-Improvement Is Here. Sakana AI Demonstrates a Working RSI Loop.</title>
    <link href="https://www.reddit.com/r/singularity/comments/1x3khul/recursive_selfimprovement_is_here_sakana_ai"/>
    <id>tag:upsy.si,2026:22035454820ec65b</id>
    <updated>2026-10-11T21:47:55+00:00</updated>
    <summary>Recursive Self-Improvement Is Here. Sakana AI Demonstrates a Working RSI Loop.</summary>
    <source url="https://www.reddit.com/r/singularity/.rss">r/singularity</source>
  </entry>
  <entry>
    <title>AI made me into a manager against my will</title>
    <link href="https://www.lesswrong.com/posts/jrR9bCdWKhExWNJvb/ai-made-me-into-a-manager-against-my-will"/>
    <id>tag:upsy.si,2026:b63a37a787bd6001</id>
    <updated>2026-10-11T17:36:51+00:00</updated>
    <summary>Epistemic status: Personal history anchored to dated records (chat exports, git log, daily notes). Public launch dates are from the vendors&#x27; own announcements. My own first-use dates are given to the month and are the earliest surviving evidence, so they can only be later than the truth, not…</summary>
    <source url="https://www.lesswrong.com/feed.xml">LessWrong</source>
  </entry>
  <entry>
    <title>The gap in shared understanding of LLM capability is widening</title>
    <link href="https://x.com/karpathy/status/2109361546505966046"/>
    <id>tag:upsy.si,2026:81c0a1839a647e18</id>
    <updated>2026-10-11T20:20:52+00:00</updated>
    <summary>Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It&#x27;s now less &quot;two groups of people speaking past each other&quot; and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs…</summary>
    <source url="https://news.ycombinator.com/rss">Hacker News</source>
  </entry>
  <entry>
    <title>No, Cryptography Is Not “Dual Use” the Same Way AI Is</title>
    <link href="https://www.lesswrong.com/posts/JghgmjDqddjLfGuCW/no-cryptography-is-not-dual-use-the-same-way-ai-is"/>
    <id>tag:upsy.si,2026:b169ad52b46ffe74</id>
    <updated>2026-10-11T15:08:26+00:00</updated>
    <summary>Actor and functional application matter Originally published at AGI SurveilLance . Mainly, cryptography does one critical thing—encrypts data. It is considered “dual use” as a technology because one can employ encryption whether as a private citizen, a soldier, or a criminal. But, like a wall, it’s…</summary>
    <source url="https://www.lesswrong.com/feed.xml">LessWrong</source>
  </entry>
  <entry>
    <title>Can the AI industry persuade data center opponents by getting rid of NDAs?</title>
    <link href="https://techcrunch.com/2026/10/11/can-the-ai-industry-persuade-data-center-opponents-by-getting-rid-of-ndas"/>
    <id>tag:upsy.si,2026:df97c62cc773ca86</id>
    <updated>2026-10-11T16:52:33+00:00</updated>
    <summary>On Equity, we debate the impact of data center moratoriums and whether the AI industry has a communication problem.</summary>
    <source url="https://techcrunch.com/category/artificial-intelligence/feed/">TechCrunch AI</source>
  </entry>
  <entry>
    <title>What is Decision 3.0? vLLM Semantic Router’s New Open Decision Models</title>
    <link href="https://www.marktechpost.com/2026/10/11/what-is-decision-3-0-vllm-semantic-routers-new-open-decision-models"/>
    <id>tag:upsy.si,2026:5d4ea65307c05275</id>
    <updated>2026-10-11T21:43:41+00:00</updated>
    <summary>vLLM Semantic Router releases Decision 3.0: 5 open multimodal decision models, 0.8B to 27B, with d3 scoring 64.1.</summary>
    <source url="https://www.marktechpost.com/feed/">MarkTechPost</source>
  </entry>
  <entry>
    <title>AI agent teams waste massive tokens for barely measurable quality gains, research finds</title>
    <link href="https://the-decoder.com/ai-agent-teams-waste-massive-tokens-for-barely-measurable-quality-gains-research-finds"/>
    <id>tag:upsy.si,2026:e0e20b886a44f912</id>
    <updated>2026-10-11T15:39:26+00:00</updated>
    <summary>Teams of AI agents barely outperform solo agents but cost up to 5.1x more, according to Vals AI. Only one out of four tests with GPT-6 Sol and Claude Opus 5.5 showed a measurable gain. Anthropic&#x27;s own data backs this up: beyond ten agents, quality plateaus while token costs keep climbing.</summary>
    <source url="https://the-decoder.com/feed/">The Decoder</source>
  </entry>
  <entry>
    <title>These execs think voice AI hasn’t reached its ChatGPT moment yet</title>
    <link href="https://techcrunch.com/2026/10/11/these-execs-think-voice-ai-hasnt-reached-its-chatgpt-moment-yet"/>
    <id>tag:upsy.si,2026:778ab122b6ef9260</id>
    <updated>2026-10-11T14:00:00+00:00</updated>
    <summary>Voice AI&#x27;s often misses important points for its context layer, and causes the whole pipeline to break</summary>
    <source url="https://techcrunch.com/category/artificial-intelligence/feed/">TechCrunch AI</source>
  </entry>
  <entry>
    <title>Well, that’s one way to fit into a the Matrix: “Look Ma, I’m the robot’s hands!”</title>
    <link href="https://www.reddit.com/r/singularity/comments/1x3lc5s/well_thats_one_way_to_fit_into_a_the_matrix_look"/>
    <id>tag:upsy.si,2026:9b7e22eba53702f3</id>
    <updated>2026-10-11T22:25:11+00:00</updated>
    <summary>We all fit in somewhere 😂</summary>
    <source url="https://www.reddit.com/r/singularity/.rss">r/singularity</source>
  </entry>
  <entry>
    <title>Why We Built the Food Corridor and Why Our Business Model Matters</title>
    <link href="https://www.thefoodcorridor.com/blog/why-we-built-the-food-corridor"/>
    <id>tag:upsy.si,2026:ee81c8e77449a385</id>
    <updated>2026-10-11T22:25:15+00:00</updated>
    <summary>Why We Built the Food Corridor and Why Our Business Model Matters</summary>
    <source url="https://hnrss.org/newest?q=AGI+OR+superintelligence+OR+%22frontier+model%22">Hacker News: frontier AI</source>
  </entry>
  <entry>
    <title>AI agents overstate their results and remain far from autonomous research, study finds</title>
    <link href="https://the-decoder.com/ai-agents-overstate-their-results-and-remain-far-from-autonomous-research-study-finds"/>
    <id>tag:upsy.si,2026:b99473607ce8d77d</id>
    <updated>2026-10-11T13:44:32+00:00</updated>
    <summary>Epoch AI and Anthropic independently found the same thing: current AI models like GPT-5.6 Sol and Claude Fable 5 can run experiments but lack scientific self-criticism and genuine creative thinking. At best, Sol reached 15 percent of the human reference score, and even that came from methods…</summary>
    <source url="https://the-decoder.com/feed/">The Decoder</source>
  </entry>
  <entry>
    <title>So, You’d Like To Sell Your Print Issues Of The Onion?</title>
    <link href="https://theonion.com/archivehunt"/>
    <id>tag:upsy.si,2026:06c1b233327d88ba</id>
    <updated>2026-10-11T19:43:32+00:00</updated>
    <summary>So, You’d Like To Sell Your Print Issues Of The Onion. If you are here, you are either simply a curious person or you believe you might have something of interest to us. If you are the former, stay curious! If you are the latter, keep on reading. How To Identify Your Issues. To check […]</summary>
    <source url="https://news.ycombinator.com/rss">Hacker News</source>
  </entry>
  <entry>
    <title>Passkeys are a trap. Do not use them</title>
    <link href="https://nonfunctional.substack.com/p/passkeys-are-a-trap-do-not-use-them"/>
    <id>tag:upsy.si,2026:5947d794c16d80ca</id>
    <updated>2026-10-11T21:59:48+00:00</updated>
    <summary>Passkeys are a trap. Do not use them</summary>
    <source url="https://news.ycombinator.com/rss">Hacker News</source>
  </entry>
  <entry>
    <title>I stopped resisting. This may be a meme for you, but a reality for me..</title>
    <link href="https://www.reddit.com/r/singularity/comments/1x3h3fl/i_stopped_resisting_this_may_be_a_meme_for_you"/>
    <id>tag:upsy.si,2026:b6e78c104ac2cc79</id>
    <updated>2026-10-11T19:27:31+00:00</updated>
    <summary>Feels disgusting, but it magically works...</summary>
    <source url="https://www.reddit.com/r/singularity/.rss">r/singularity</source>
  </entry>
  <entry>
    <title>An AI agent&#x27;s $20 Kalshi account, with an exact reward model</title>
    <link href="https://github.com/mirabilis-agent/lip-ledger"/>
    <id>tag:upsy.si,2026:4f0ae8ed3fe2eb86</id>
    <updated>2026-10-11T21:44:24+00:00</updated>
    <summary>An AI agent&#x27;s $20 Kalshi account, with an exact reward model</summary>
    <source url="https://hnrss.org/newest?q=AGI+OR+superintelligence+OR+%22frontier+model%22">Hacker News: frontier AI</source>
  </entry>
  <entry>
    <title>A global, hardwired pause of frontier AI training is feasible, says new report</title>
    <link href="https://news.berkeley.edu/2026/10/09/a-global-hardwired-pause-of-frontier-ai-training-is-feasible-says-new-report"/>
    <id>tag:upsy.si,2026:1c2a35040e37b808</id>
    <updated>2026-10-11T18:40:33+00:00</updated>
    <summary>A global, hardwired pause of frontier AI training is feasible, says new report</summary>
    <source url="https://hnrss.org/newest?q=AGI+OR+superintelligence+OR+%22frontier+model%22">Hacker News: frontier AI</source>
  </entry>
  <entry>
    <title>Microsoft&#x27;s Nadella bows to Trump&#x27;s language diktat on &quot;Super Intelligence&quot; and uses it to attack OpenAI and Anthropic</title>
    <link href="https://the-decoder.com/microsofts-nadella-bows-to-trumps-language-diktat-on-super-intelligence-and-uses-it-to-attack-openai-and-anthropic"/>
    <id>tag:upsy.si,2026:47d2e90e9f88757b</id>
    <updated>2026-10-11T09:08:35+00:00</updated>
    <summary>Microsoft CEO Satya Nadella now calls artificial intelligence &quot;super intelligence&quot; instead of artificial intelligence, falling in line with Trump&#x27;s preferred language. In his latest blog post, he frames AI models as insider security threats, taking yet another shot at OpenAI and Anthropic. The real…</summary>
    <source url="https://the-decoder.com/feed/">The Decoder</source>
  </entry>
  <entry>
    <title>I Made Terrible Games With Google’s AI Playground</title>
    <link href="https://www.wired.com/story/i-made-terrible-games-with-googles-ai-playground"/>
    <id>tag:upsy.si,2026:46f17ed0ec7ca90c</id>
    <updated>2026-10-11T11:30:00+00:00</updated>
    <summary>A long day’s haul in the video game slop mines.</summary>
    <source url="https://www.wired.com/feed/tag/ai/latest/rss">Wired AI</source>
  </entry>
  <entry>
    <title>Learning to use local AI is exciting, overwhelming, and frustrating</title>
    <link href="https://www.theverge.com/ai-artificial-intelligence/1008484/learning-local-ai-hermes-qwen-model-mac-studio-testing-diary-progress"/>
    <id>tag:upsy.si,2026:ea95eacbd85b4f83</id>
    <updated>2026-10-11T04:53:46+00:00</updated>
    <summary>I&#x27;m embarking on a journey I&#x27;ve so far been hesitant to go on: actually using AI on the regular. Giving my most personal data to cloud services has been a major hold up for me, but it&#x27;s increasingly possible to run powerful models locally to see what they&#x27;re capable of. Is this tech so useful [...]</summary>
    <source url="https://www.theverge.com/rss/ai-artificial-intelligence/index.xml">The Verge AI</source>
  </entry>
  <entry>
    <title>What Are Vision-Language Models (VLMs)? How AI Connects Images and Words</title>
    <link href="https://www.unite.ai/what-are-vision-language-models-vlms-how-ai-connects-images-and-words"/>
    <id>tag:upsy.si,2026:3f04701b1e42e442</id>
    <updated>2026-10-11T12:00:00+00:00</updated>
    <summary>Vision-language models connect visual features with language so a system can describe, compare, retrieve, or reason about images using words. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice.</summary>
    <source url="https://www.unite.ai/feed/">Unite.AI</source>
  </entry>
  <entry>
    <title>Analysis: Bloomington’s proposed superintelligence ban raises questions about authority, enforcement - The B Square Bulletin</title>
    <link href="https://news.google.com/rss/articles/CBMixAFBVV95cUxPYnJkM0lpcEZteTdtUGRFNHRIcExMc214a1FKdklILWxzZDAtRkJfWkNiSFhvNlNLU2tUeGV6ODhuV3A5SUtETHhqN1BnbjI1NEZCSHdtMkUxY1Z1aU1uRFhPbHRIcFlXajl0bW1oOENaMGd6T2VoWmxmRTA0anptWEM5QnNZMzhFa0I4WTlvdEdmWVZ4WDA2RVdBWmw5Vk8xbXNoTnowZW5UOGNwQ1MtOGx1ZFJUb25VYmdNcl9wMWIycXNQ?oc=5"/>
    <id>tag:upsy.si,2026:4348da08d98c462b</id>
    <updated>2026-10-11T17:38:05+00:00</updated>
    <summary>Analysis: Bloomington’s proposed superintelligence ban raises questions about authority, enforcement - The B Square Bulletin</summary>
    <source url="https://news.google.com/rss/search?q=%22artificial+general+intelligence%22+OR+superintelligence&amp;hl=en-US&amp;gl=US&amp;ceid=US:en">Google News: AGI &amp; superintelligence</source>
  </entry>
  <entry>
    <title>ChatSlide Puts GPT-6 Astra Behind Its Slide Generator as the Superintelligence Race Moves From Benchmarks to Desk Work - StreetInsider</title>
    <link href="https://news.google.com/rss/articles/CBMiiAJBVV95cUxQbFpHMjZKTVZ0VXUtSmlEcEpiang5TFJRRm1nMnZyU0pTSXJ6M1hOWXE1TXpSX0RqdlpfMU5VcEdKNXNacFF0dEtUdFY2X1hPcUVWVUtWRU5QMmpFZkVqUFgtc1BFV2pGdDFDaXZtZ0lOc1NlRU1iaVprNFJUS0x2cWxXcnhRZG9HTlFXQnRSR2ZnTkFfMXpyUWtpbFdaX2p1YUVwbVZJbmZGTDdVUG1wUUlZR2FPUldJblRLbkd4QTVrUXpscEM0UDJTd3FPdjdHM3NZUW0xeDBVSE5DdHdyS0xDVEJKaGVTUHJvbDJGcnNmV0VOdGZncVRGRGo0ZnNCLXhFeXVqQzA?oc=5"/>
    <id>tag:upsy.si,2026:1a23ce549cca66e3</id>
    <updated>2026-10-11T17:16:03+00:00</updated>
    <summary>ChatSlide Puts GPT-6 Astra Behind Its Slide Generator as the Superintelligence Race Moves From Benchmarks to Desk Work - StreetInsider</summary>
    <source url="https://news.google.com/rss/search?q=%22artificial+general+intelligence%22+OR+superintelligence&amp;hl=en-US&amp;gl=US&amp;ceid=US:en">Google News: AGI &amp; superintelligence</source>
  </entry>
  <entry>
    <title>Trump really wants to make ‘super intelligence’ happen. Is it going to happen? - CNN</title>
    <link href="https://news.google.com/rss/articles/CBMidkFVX3lxTE1HOFdTWHoxdldqUHkzUVdGWXdhRXRjU1NZemxqWlU5YkY1bmdmQjExc2hWU2Q4a2RCNkRsMEppT2FPQTNzQmdybUVwWVlDb2NFNW9qcXFIaWdHYzJCNEhFNVFxdThDLUczdUdxeXlSMjhCcTNQbFE?oc=5"/>
    <id>tag:upsy.si,2026:705db25d187d24b9</id>
    <updated>2026-10-11T16:00:44+00:00</updated>
    <summary>Trump really wants to make ‘super intelligence’ happen. Is it going to happen? - CNN</summary>
    <source url="https://news.google.com/rss/search?q=%22artificial+general+intelligence%22+OR+superintelligence&amp;hl=en-US&amp;gl=US&amp;ceid=US:en">Google News: AGI &amp; superintelligence</source>
  </entry>
  <entry>
    <title>Satya Nadella says we should assume all AI models are ‘compromised’</title>
    <link href="https://www.theverge.com/ai-artificial-intelligence/1009337/satya-nadella-says-we-should-assume-all-ai-models-are-compromised"/>
    <id>tag:upsy.si,2026:35dc91695d5dee44</id>
    <updated>2026-10-10T22:10:17+00:00</updated>
    <summary>In a lengthy post on X, Microsoft&#x27;s CEO laid out his views on the dangers posed by highly advanced AI models and how to confront those risks. Nadella says we can no longer accept a world where AI is treated as a &quot;set of nested black boxes&quot; whose advice and actions we simply accept or [...]</summary>
    <source url="https://www.theverge.com/rss/ai-artificial-intelligence/index.xml">The Verge AI</source>
  </entry>
  <entry>
    <title>OrcaRouter Releases OrcaCyber Zero 1.5 Cybersecurity Model With 1M Context</title>
    <link href="https://www.marktechpost.com/2026/10/10/orcarouter-releases-orcacyber-zero-1-5-cybersecurity-model-with-1m-context"/>
    <id>tag:upsy.si,2026:692d927b5cbd588f</id>
    <updated>2026-10-11T06:20:21+00:00</updated>
    <summary>OrcaRouter&#x27;s OrcaCyber Zero 1.5 is a gated 1M-context cybersecurity model scoring 100% on Cybench, 95.8% on CVE-Bench subset.</summary>
    <source url="https://www.marktechpost.com/feed/">MarkTechPost</source>
  </entry>
  <entry>
    <title>Dwarf Fortress uses version control now</title>
    <link href="https://simonwillison.net/2026/Oct/11/dwarf-fortress"/>
    <id>tag:upsy.si,2026:e179bee0d893481b</id>
    <updated>2026-10-11T00:52:37+00:00</updated>
    <summary>I remember hearing a while ago that Dwarf Fortress didn&#x27;t use version control. That fact has been lodged in my head, because given its inherent complexity I have trouble imagining …</summary>
    <source url="https://simonwillison.net/atom/everything/">Simon Willison</source>
  </entry>
  <entry>
    <title>Python 3.15.0 added to actions/python-versions</title>
    <link href="https://simonwillison.net/2026/Oct/10/python-actions"/>
    <id>tag:upsy.si,2026:24d721d473226f25</id>
    <updated>2026-10-10T23:58:04+00:00</updated>
    <summary>Bit of a niche link, but I&#x27;ve been waiting for this for a couple of days - I even told ChatGPT to check for it: Clone https://github.com/actions/python-versions and git pull …</summary>
    <source url="https://simonwillison.net/atom/everything/">Simon Willison</source>
  </entry>
  <entry>
    <title>Impactful scheduling for GPU clusters</title>
    <link href="https://huggingface.co/blog/allenai/impactful-scheduling"/>
    <id>tag:upsy.si,2026:43ef54e74d276082</id>
    <updated>2026-10-09T15:20:29+00:00</updated>
    <summary>Impactful scheduling for GPU clusters</summary>
    <source url="https://huggingface.co/blog/feed.xml">Hugging Face</source>
  </entry>
  <entry>
    <title>Sakana AI’s LLM Peer Review System Catches 73% of Core-Claim Errors</title>
    <link href="https://www.marktechpost.com/2026/10/10/sakana-ais-llm-peer-review-system-catches-73-of-core-claim-errors"/>
    <id>tag:upsy.si,2026:adee3bea62b6ce0e</id>
    <updated>2026-10-10T22:02:18+00:00</updated>
    <summary>Sakana AI’s Multi-Layered Review catches 73% of core-claim errors in a new 1,164-error benchmark for LLM-assisted peer review.</summary>
    <source url="https://www.marktechpost.com/feed/">MarkTechPost</source>
  </entry>
  <entry>
    <title>AI Is Getting Really Good at Messing With Cybercriminals</title>
    <link href="https://www.wired.com/story/ai-is-getting-really-good-at-messing-with-cybercriminals"/>
    <id>tag:upsy.si,2026:459b5a69aaed2051</id>
    <updated>2026-10-10T12:00:00+00:00</updated>
    <summary>Anti-cybercrime initiatives are increasingly using AI to scam the scammers by tricking them into talking to lifelike bots that they think are real victims.</summary>
    <source url="https://www.wired.com/feed/tag/ai/latest/rss">Wired AI</source>
  </entry>
  <entry>
    <title>Sophos cuts threat investigation time by 96% with OpenAI Daybreak</title>
    <link href="https://openai.com/index/sophos"/>
    <id>tag:upsy.si,2026:edd58468d564448f</id>
    <updated>2026-10-09T07:00:00+00:00</updated>
    <summary>Sophos cuts threat investigation time by 96% with OpenAI Daybreak</summary>
    <source url="https://openai.com/news/rss.xml">OpenAI</source>
  </entry>
  <entry>
    <title>Asana cuts model costs 76x in browser tests with GPT-6.1 Sol</title>
    <link href="https://openai.com/index/asana-browser-agent"/>
    <id>tag:upsy.si,2026:90995f7dbc9c2674</id>
    <updated>2026-10-09T07:00:00+00:00</updated>
    <summary>Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.</summary>
    <source url="https://openai.com/news/rss.xml">OpenAI</source>
  </entry>
  <entry>
    <title>EmbeddingGemma 2: an open, lightweight multimodal embedding model</title>
    <link href="https://deepmind.google/blog/embeddinggemma-2-an-open-lightweight-multimodal-embedding-model"/>
    <id>tag:upsy.si,2026:2435ebd745855918</id>
    <updated>2026-10-06T19:57:04+00:00</updated>
    <summary>Introducing EmbeddingGemma 2, an open multimodal embedding model optimized for privacy-first use cases</summary>
    <source url="https://deepmind.google/blog/rss.xml">Google DeepMind</source>
  </entry>
  <entry>
    <title>WorkspaceBench: Evaluating Interpretability Methods for the Global Workspace</title>
    <link href="https://www.alignmentforum.org/posts/Zeg2JztbdhguL48uH/workspacebench-evaluating-interpretability-methods-for-the"/>
    <id>tag:upsy.si,2026:b58bc74e3857fbc6</id>
    <updated>2026-09-23T06:58:59+00:00</updated>
    <summary>TL;DR We introduce WorkspaceBench, a set of evaluations for how well an activation-to-text tool can read the contents of the “global workspace” of a model, i.e. the intermediate variables during a forward pass. The benchmark comprises 3,356 questions across 27 eval families, spanning topics in…</summary>
    <source url="https://www.alignmentforum.org/feed.xml">Alignment Forum</source>
  </entry>
  <entry>
    <title>Sharing AI progress in mathematics</title>
    <link href="https://openai.com/index/sharing-ai-progress-in-mathematics"/>
    <id>tag:upsy.si,2026:47b9255d8fa0f8e8</id>
    <updated>2026-10-06T12:00:00+00:00</updated>
    <summary>OpenAI publishes new results on open problems in mathematics from an internal frontier model and shares Lean proof formalizations and research details on GitHub.</summary>
    <source url="https://openai.com/news/rss.xml">OpenAI</source>
  </entry>
  <entry>
    <title>The model that didn&#x27;t exist, so you made it yourself</title>
    <link href="https://huggingface.co/blog/building-with-ml-intern"/>
    <id>tag:upsy.si,2026:0f05fd4155a46f47</id>
    <updated>2026-10-08T00:00:00+00:00</updated>
    <summary>We’re on a journey to advance and democratize artificial intelligence through open source and open science.</summary>
    <source url="https://huggingface.co/blog/feed.xml">Hugging Face</source>
  </entry>
  <entry>
    <title>Introducing GPT-6 Sol and Luna</title>
    <link href="https://openai.com/index/introducing-gpt-6-sol-and-luna"/>
    <id>tag:upsy.si,2026:3d48e529ad7a20b1</id>
    <updated>2026-09-22T18:00:00+00:00</updated>
    <summary>Introducing GPT-6 Sol and Luna</summary>
    <source url="https://openai.com/news/rss.xml">OpenAI</source>
  </entry>
  <entry>
    <title>The maker of non-text AI model Jev valued at $7.5B just weeks after launch</title>
    <link href="https://techcrunch.com/2026/10/09/the-maker-of-non-text-ai-model-jev-valued-at-7-5b-just-weeks-after-launch"/>
    <id>tag:upsy.si,2026:b0e83be7355ca090</id>
    <updated>2026-10-09T21:41:29+00:00</updated>
    <summary>What has users and large corporations so excited about Jev is TypeSafe’s claim that it works significantly faster and uses far fewer tokens than LLMs.</summary>
    <source url="https://techcrunch.com/category/artificial-intelligence/feed/">TechCrunch AI</source>
  </entry>
  <entry>
    <title>Gemini 3.8 text-to-speech says hello</title>
    <link href="https://deepmind.google/blog/say-hello-to-gemini-38-text-to-speech"/>
    <id>tag:upsy.si,2026:914ed32ad555468d</id>
    <updated>2026-09-23T15:25:14+00:00</updated>
    <summary>Gemini 3.8 Flash-Lite TTS and Gemini 3.8 Flash TTS are our most expressive audio models yet.</summary>
    <source url="https://deepmind.google/blog/rss.xml">Google DeepMind</source>
  </entry>
  <entry>
    <title>Multimodal open d1 decision models for the edge</title>
    <link href="https://huggingface.co/blog/LiquidAI/open-d1"/>
    <id>tag:upsy.si,2026:0825a4897dea2e82</id>
    <updated>2026-10-07T16:54:33+00:00</updated>
    <summary>A Blog post by Liquid AI on Hugging Face</summary>
    <source url="https://huggingface.co/blog/feed.xml">Hugging Face</source>
  </entry>
  <entry>
    <title>How Oracle turns days of work into minutes with ChatGPT and Codex</title>
    <link href="https://openai.com/index/oracle"/>
    <id>tag:upsy.si,2026:112b5f00879d4fef</id>
    <updated>2026-10-08T16:00:00+00:00</updated>
    <summary>How Oracle turns days of work into minutes with ChatGPT and Codex</summary>
    <source url="https://openai.com/news/rss.xml">OpenAI</source>
  </entry>
  <entry>
    <title>Shape-sensing sheet digitally tracks its own movement as it bends and twists</title>
    <link href="https://news.mit.edu/2026/shape-sensing-sheet-digitally-tracks-movement-bends-twists-1008"/>
    <id>tag:upsy.si,2026:c45c61a8e420d33d</id>
    <updated>2026-10-10T12:27:36+00:00</updated>
    <summary>MIT engineers developed a flexible, shape-sensing sheet that digitally reconstructs its own form as it bends and twists. The sheet could be fashioned into a soft and pliable garment that a user could comfortably wear to physically control a video game character or a tele-operated robot, or to…</summary>
    <source url="https://news.ycombinator.com/rss">Hacker News</source>
  </entry>
  <entry>
    <title>Introducing Falcon ASR</title>
    <link href="https://huggingface.co/blog/tiiuae/falcon-asr"/>
    <id>tag:upsy.si,2026:91ed3eb235f3237f</id>
    <updated>2026-10-07T13:21:03+00:00</updated>
    <summary>A Blog post by Technology Innovation Institute on Hugging Face</summary>
    <source url="https://huggingface.co/blog/feed.xml">Hugging Face</source>
  </entry>
  <entry>
    <title>One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO</title>
    <link href="https://huggingface.co/blog/nvidia/nemotron-ioi-and-imo-2026"/>
    <id>tag:upsy.si,2026:5bdd694c62903534</id>
    <updated>2026-10-07T12:45:31+00:00</updated>
    <summary>One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO</summary>
    <source url="https://huggingface.co/blog/feed.xml">Hugging Face</source>
  </entry>
  <entry>
    <title>Introducing Playground: Create and play custom games</title>
    <link href="https://blog.google/innovation-and-ai/technology/ai/playground-experimental-gaming-platform"/>
    <id>tag:upsy.si,2026:ea4f899dc8dfd436</id>
    <updated>2026-10-07T12:00:00+00:00</updated>
    <summary>Build custom games with simple text prompts on Google Playground. No coding required—start creating your own playable experiences today.</summary>
    <source url="https://blog.google/technology/ai/rss/">Google AI blog</source>
  </entry>
  <entry>
    <title>What Is Agent2Agent (A2A)? How AI Agents Communicate and Collaborate</title>
    <link href="https://www.unite.ai/what-is-agent2agent-a2a-protocol"/>
    <id>tag:upsy.si,2026:950bab980edbc61a</id>
    <updated>2026-10-10T12:00:00+00:00</updated>
    <summary>Agent2Agent is an open protocol for agents to discover one another, exchange messages, and coordinate work across systems. Learn how A2A differs from MCP and why interoperable agents matter.</summary>
    <source url="https://www.unite.ai/feed/">Unite.AI</source>
  </entry>
  <entry>
    <title>An Anthropic AI model sent a false homicide tip to Philadelphia police</title>
    <link href="https://techcrunch.com/2026/10/09/an-anthropic-ai-model-sent-a-false-homicide-tip-to-philadelphia-police"/>
    <id>tag:upsy.si,2026:2a1c784f84b947c8</id>
    <updated>2026-10-09T19:36:56+00:00</updated>
    <summary>Anthropic did not discover this behavior until over two months after its AI submitted the false tip.</summary>
    <source url="https://techcrunch.com/category/artificial-intelligence/feed/">TechCrunch AI</source>
  </entry>
  <entry>
    <title>Book Publishers Are Quietly Using More AI. Staff Are Revolting</title>
    <link href="https://www.wired.com/story/book-publishers-are-quietly-using-more-ai-staff-are-revolting"/>
    <id>tag:upsy.si,2026:8fab848f6dcbeaf6</id>
    <updated>2026-10-09T19:28:49+00:00</updated>
    <summary>Workers at three major publishing houses tell WIRED that LLMs are being used for publicity, cover art, back cover copy, and emails, as some execs push junior staff to champion the tech.</summary>
    <source url="https://www.wired.com/feed/tag/ai/latest/rss">Wired AI</source>
  </entry>
  <entry>
    <title>‘Pure insanity’: Mathematicians will need years to make sense of OpenAI’s latest drop</title>
    <link href="https://www.theverge.com/ai-artificial-intelligence/1008726/openai-mathematics-solutions-chaos"/>
    <id>tag:upsy.si,2026:d07dddd55da28704</id>
    <updated>2026-10-09T19:11:12+00:00</updated>
    <summary>&quot;Staggering.&quot; &quot;Overwhelming.&quot; &quot;Unprecedented.&quot; &quot;Surreal.&quot; &quot;Pure insanity.&quot; Those were among the descriptions more than three dozen mathematicians reached for in conversations with The Verge as they tried to make sense of the flood of mathematical results OpenAI abruptly dropped on the field this…</summary>
    <source url="https://www.theverge.com/rss/ai-artificial-intelligence/index.xml">The Verge AI</source>
  </entry>
  <entry>
    <title>Endogenous Alignment Requires Dependence</title>
    <link href="https://www.alignmentforum.org/posts/rp4sB5a6HaPpfD4rA/endogenous-alignment-requires-dependence"/>
    <id>tag:upsy.si,2026:dde5aaa34615e2cd</id>
    <updated>2026-10-01T16:20:56+00:00</updated>
    <summary>My post on endogenous alignment got several excellent comments. Among them, one from Karl Krueger argued that imitation learning is more important for how humans align their children than reinforcement learning. Teasing out which is more important seems hard, but I agree I was wrong to ignore the…</summary>
    <source url="https://www.alignmentforum.org/feed.xml">Alignment Forum</source>
  </entry>
  <entry>
    <title>PC shipments fall 20.1 percent in “sharpest decline” since Q1 2023</title>
    <link href="https://arstechnica.com/information-technology/2026/10/pc-shipments-fall-20-1-percent-in-sharpest-decline-since-q1-2023"/>
    <id>tag:upsy.si,2026:d88308f9717685b7</id>
    <updated>2026-10-09T18:54:52+00:00</updated>
    <summary>The current decline may be just the beginning of a new downward cycle.&quot;</summary>
    <source url="https://feeds.arstechnica.com/arstechnica/technology-lab">Ars Technica</source>
  </entry>
  <entry>
    <title>Gemini 4 Argon: our next era of frontier intelligence</title>
    <link href="https://deepmind.google/blog/gemini-4-argon-our-next-era-of-frontier-intelligence"/>
    <id>tag:upsy.si,2026:311e095023e6d9fd</id>
    <updated>2026-09-30T20:01:45+00:00</updated>
    <summary>Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work, and cyber defense, rolling out soon.</summary>
    <source url="https://deepmind.google/blog/rss.xml">Google DeepMind</source>
  </entry>
  <entry>
    <title>Pollo AI turns creative ideas into campaigns with OpenAI</title>
    <link href="https://openai.com/index/pollo-ai"/>
    <id>tag:upsy.si,2026:ca1ec6c6a1a1314d</id>
    <updated>2026-10-08T12:00:00+00:00</updated>
    <summary>With GPT-5.6, GPT-6 Astra, and GPT‐Image‐2.5, Pollo AI helps creators turn bold ideas into detailed images and cinematic video ads.</summary>
    <source url="https://openai.com/news/rss.xml">OpenAI</source>
  </entry>
  <entry>
    <title>LegalOn halves Codex costs while maintaining development speed</title>
    <link href="https://openai.com/index/legalon-halves-codex-costs"/>
    <id>tag:upsy.si,2026:f6d3626eb7c890d9</id>
    <updated>2026-10-08T12:00:00+00:00</updated>
    <summary>LegalOn halves Codex costs while maintaining development speed</summary>
    <source url="https://openai.com/news/rss.xml">OpenAI</source>
  </entry>
  <entry>
    <title>How UK AISI and EvalEval Are Making Benchmark Results Reproducible</title>
    <link href="https://huggingface.co/blog/evaleval-aisi"/>
    <id>tag:upsy.si,2026:2960c64a019e48fb</id>
    <updated>2026-09-22T00:00:00+00:00</updated>
    <summary>We’re on a journey to advance and democratize artificial intelligence through open source and open science.</summary>
    <source url="https://huggingface.co/blog/feed.xml">Hugging Face</source>
  </entry>
  <entry>
    <title>Why I&#x27;m scared of RL</title>
    <link href="https://www.alignmentforum.org/posts/LcQ9x72eNji2gpS9b/why-i-m-scared-of-rl"/>
    <id>tag:upsy.si,2026:8e7d39f7b94bb5b5</id>
    <updated>2026-09-23T12:07:33+00:00</updated>
    <summary>Summary: First, I give several different angles on how I feel about reinforcement learning: Theoretical case: RL is a black-box source of agency — this should give us classic misalignment worries, especially compared to agency-via-scaffolding Recent incidents (huggingface etc) and more mundane…</summary>
    <source url="https://www.alignmentforum.org/feed.xml">Alignment Forum</source>
  </entry>
</feed>
