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Yes, we provided 3 things for AI-assisted math: * Human-AI interaction (HAI) card (photo), inspired by model cards * Full transcripts https://t.co/NvO8p4Wiva * A label for novelty-autonomy, inspired by SAE Levels of autonomy, see #Aletheia paper https://t.co/8pLHmZZQO4 https://t.co/cFGZ6dbiWK
Really good question (note that DeepMind shared transcripts in their recent Aletheia paper, and I think this is clearly best practice). Hopefully OAI follows suit.
๐คGoing to be in Vancouver tomorrow? ๐งCurious about whether or not scaling AI is a bad bet? ๐Catch TPN founder @zacharykarabell's chat with @GaryMarcus at @WebSummit at 10:20am. ๐๏ธGet your tickets here: https://t.co/ibej6zkToc https://t.co/g3q0AexRFx
In 2024 @sequoia said that the AI industry needed $600bn of revenue for the maths to make sense. Strangely they haven't updated it since then, so here's an attempt. $600bn is now more like $1.6trn.... @DavidCahn6 https://t.co/SxxKvkBhbQ
Michael Burry urged investors to scale back exposure to surging technology stocks, saying the current market environment has reached historically dangerous extremes reminiscent of prior speculative bubbles. The famed investor, best known for predicting the 2008 housing collapse, said investors should โreject greedโ as enthusiasm around artificial intelligence and momentum-driven trades pushes valuations sharply higher. Read more: https://t.co/IEuUAbU3td
Which has better odds? Generative AI earning $1.6 trillion/year or the roulette wheel landing on zero? https://t.co/52cTL3iSHM
One estimate of how much annual revenue AI needs to โmake senseโ: 1.6 trillion. Thatโs four times what Google made in its best year. (total revenue so far is perhaps on order of 100 billion.)
Anthropic President Daniela Amodei: The risk no one says out loud is that this entire AI industry is betting on the future Compute is scarce and has to be bought years in advance, before companies know whether revenue will ever catch up "revenue has been historic, but that can change"
Important Nature Neuroscience paper shows how humans differ from LLMs. Many people currently believe that humans are just next-word predictors, like LLMs. But this new paper by Zou, Poeppel and Ding suggests something more interesting. The human brain does predict words. But it does not predict every word with the same precision. Prediction is constrained by linguistic structure. When a word continues the current phrase, brain activity tracks word surprisal in a way that resembles an LLM. But when a word crosses a major phrase boundary, the match weakens. In other words, the brain does not simply ask: โWhat is the next word?โ It also asks: โWhat structure am I currently building?โ This challenges one of the most common biases in todayโs technological world: the belief that human language works like a large language model. The answer is: no. Human language is not just next-token prediction. * Paper in the first reply
๐ Fei-Fei Li, former Google Chief Scientist, says the industry is dangerously fixated on language models. Most of the real economy is physical, perceptual and spatial. Once AI fully understands the visual world, it stops being a chatbot and starts becoming infrastructure. https://t.co/4CjUi7XsDg
Nevermind, Anthropic just lost $200b pre-ipo-valuation just minutes ago what is happening
A mom asked 1X Technologies' NEO humanoid robot to yell at her son to do his homework, and NEO basically said "that's your job, not mine." https://t.co/5lgqFJdfAI
@jxnlco https://t.co/UAmpWCZJIg
thereโs an app EcoGPT going around targeting gullible girls on instagram that itโs a chatgpt that uses โlesser waterโ โregenerative AIโ โyou chat, EcoGPT plants treesโ its by the same develope who created the Tea app!! surely women arent this gullible to fall for this? ๐คจ https://t.co/dFKYOXdk4r
Happy 23rd Mother's Day to my incredible mom, @4katluvrs! โค๏ธ My mom is my hero and inspiration. I would not be here today without her guidance, her advocacy, and most importantly, her steady support. She is my biggest fan and her constant encouragement means the world to me. She believes in me even when sometimes I don't believe in myself. As my biggest advocate, my mom made sure the world knew what I was capable of. Who else would successfully convince a community college to let a 7 year old like myself to take classes? My mom as sacrificed a lot to be the best mom she could possibly be, and for that I am extremely grateful. She gave up her own budding career (including quitting midway through her PhD) to nurture us because she saw my potential, when I was only a baby! Now that Iโm a year into running a startup, I appreciate even more the resilience, discipline, work ethic, and leadership skills she instilled in me from a very young age. Being a founder has been the most difficult endeavor of my life, and I realize more than ever how much she prepared me for it. So much of what I do is to honor the sacrifices and effort my mom has poured into me. All of my accomplishments are dedicated to her. I love you so much, Mamma! Celebrating all the ways you have loved me and my sister @sopranotiara Happy Mother's Day to all the moms, aunts, and grandmas! ๐ฅณ
https://t.co/xhenAR3URq
almost exactly two years ago lol https://t.co/Vck6AXQg7e
https://t.co/xhenAR3URq
ใใฃใใญใฎไผ่คๆๅฃฑใใใซใๅฃฐๆใ้ ใใใณใๆฎใใฎๅฑ่ฆงไผใซไธไฝๅฎถใจใใฆๅๅ ใใฆใใพใใ็งใฏใณใๆฎใๅ้ใงใฏใชใๅ ดๆใใๆดปๅใใฏใใใฆใใใถใคใณใฎ่ฆ็นใงใฎใณใๆฎใใซๅใ็ตใใงใใพใใใใไปๅๅใใฆใณใๆฎใ็ใฎๆฌไธธใฎๆนใ ใจใไธ็ทใงใๅฌใใใงใใไป6ๅนด็ฎใฎใใใๆฎๅฝฑ็ด ๆ็ญใๅฑ็คบใใฆใใพใ https://t.co/Ng1VkRKRwE
Two weeks after release, Hy3 preview is #1 on @OpenRouter's weekly leaderboard with 3.66T tokens processed, up 298% week-over-week. #1 in overall usage, tool calls, and coding. 15.4% market share across all providers.๐ Top apps running Hy3 preview: Hermes Agent, Claude Code, Kilo Code, OpenClaw, Cline.@NousResearch @claudeai @kilocodehq @openclaw @cline Huge thanks to every developer building with it. ๐ Try it on OpenRouter: https://t.co/50va5lt1Vk
Under-reported details of the xAI/Anthropic Colossus data center deal: Anthropic get Colossus 1 but xAI keep using the larger Colossus 2, Colossus 1 has a REALLY bad environmental record, and xAI just shut down a bunch of older models on 2 weeks' notice https://t.co/oCKBRNwPVH
Welcome to DS4, a specialized inference engine for DeepSeek v4 Flash. https://t.co/UrUJz5I2R1 This project would have been impossible without the existence of llama.cpp and GGML and the work of @ggerganov and all the other contributors. Thanks!
Welcome to DS4, a specialized inference engine for DeepSeek v4 Flash. https://t.co/UrUJz5I2R1 This project would have been impossible without the existence of llama.cpp and GGML and the work of @ggerganov and all the other contributors. Thanks!
Starting a company in a garage is boring so we started @dottxtai in a French castle instead https://t.co/AhVR9nqbm9
ERNIE 5.1 is here ๐ ERNIE 5.1 significantly reduces pretraining cost while compressing total parameters to ~1/3 and activated parameters to ~1/2 โ using only ~6% of the pretraining cost compared to models at similar scale, while achieving leading performance in its class. ๐กKey highlights: 1/ Strong agentic performance approaching leading frontier models. ERNIE 5.1 surpasses DeepSeek-V4-Pro on both ฯ3-bench and SpreadsheetBench-Verified. 2/ Strong world knowledge and creative writing capabilities, with GPQA and MMLU-Pro performance approaching leading closed-source models, and creative writing ability nearing Gemini 3.1 Pro. 3/ Frontier-level reasoning performance. ERNIE 5.1 scores 99.6 on the challenging AIME26 benchmark with tools, second only to Gemini 3.1 Pro. 4/ Deep search capability. On May 9, ERNIE 5.1 ranked #4 globally and #1 among Chinese models on the Arena Search leaderboard with a score of 1223. ERNIE 5.1 is now available on ERNIE and the Baidu AI Studio Model Playground: ๐https://t.co/qhd67Lg3B4 ๐https://t.co/AaQSqDmVGU ๐https://t.co/uCNiypIu1q
Frontier labs are betting AGI models will be so good you won't ever want to customize them. We think different. Building on a closed platform means renting your intelligence. The landlord sets the terms. They can give notice at any moment that your fine-tuning lease will not be renewed. As AI natives, we think you should own your AI. Your data, your domain expertise, your moat. Start training today on the Fireworks AI Training Platform. https://t.co/rqSamw3I3e
OpenAI has announced they will be winding down fine tuning. I got the email today. Existing active @OpenAI customers can keep running fine-tuning jobs until January 6, 2027, but after that no new training jobs can be created. Existing fine-tuned models will still run, but only un
As always, no insights and in personal capacity: The DeepMind unionization effort has very worthy goals it seems Maybe Google will finally grant GDM that /independent/ ethics oversight board that was reportedly part of the original acquisition deal in 2014 https://t.co/4AYR5X2QIK
I've had this nagging feeling for a while now, after about a year of doing almost exclusively agentic coding this is how I feel about the productivity curve. https://t.co/LC7KVvRie0
How does your company commercialize open source? As the exclusive technology partner of The Linux Foundation's 2nd annual COSS survey, AWS wants to hear from founders and enterprise leaders. We are inviting community participation in shaping the most comprehensive report on commercial open source software worldwide.
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Get My Parking is transforming a hardware-heavy industry with smart, scalable AI. Built entirely on AWS, Get My Parking helps manage thousands of global parking facilities, delivering speed, scale, and security. The startup is engineering the future of parking, from license plate recognition to AI agent issue resolution.
Porter, a @ycombinator startup, is helping scaling startups solve a tough tradeoff: ease of deployment vs. infrastructure control. With AWS (combining Amazon EC2, RDS, and EKS), @porterdotrun simplifies DevOps without sacrificing ownership. https://t.co/RR5peXh4qj
Latin America's largest startup auction just wrapped, and we had a front-row seat. AWS Startups proudly sponsored @starter_company Medellรญn for the sixth year running, helping connect ambitious founders with the capital and tech partners they need to grow. 350 startups. 25 countries. One auction packed with LatAmโs most exciting tech.
General-purpose AI can't read your machines. @Articul8_AI built domain-specific models on AWS with Meta Llama, hitting 88% accuracy in equipment failure detection. Less downtime. Smarter maintenance. https://t.co/X2sAlrsG9m
Healthcare AI just got more precise. @AnteriorAI used Meta Llama on Amazon Bedrock to identify and structure complex clinical documents, cutting manual clinical review by 75% while meeting strict data governance requirements. https://t.co/gOoaYrRHGu