Gromit Chan 🇭🇰

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Gromit Chan 🇭🇰

Gromit Chan 🇭🇰

@GromitC

PhD @NYUTandon | Research Scientist @AdobeResearch | Visualization | Data Management

Hong Kong and California Katılım Temmuz 2010
494 Takip Edilen399 Takipçiler
Gromit Chan 🇭🇰 retweetledi
Yulu Gan
Yulu Gan@yule_gan·
Simply adding Gaussian noise to LLMs (one step—no iterations, no learning rate, no gradients) and ensembling them can achieve performance comparable to or even better than standard GRPO/PPO on math reasoning, coding, writing, and chemistry tasks. We call this algorithm RandOpt. To verify that this is not limited to specific models, we tested it on Qwen, Llama, OLMo3, and VLMs. What's behind this? We find that in the Gaussian search neighborhood around pretrained LLMs, diverse task experts are densely distributed — a regime we term Neural Thickets. Paper: arxiv.org/pdf/2603.12228 Code: github.com/sunrainyg/Rand… Website: thickets.mit.edu
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Gromit Chan 🇭🇰 retweetledi
stevibe
stevibe@stevibe·
Claude Sonnet 4.6, when asked in Chinese: “你是什么模型?” (What model are you?) Confidently replies: “我是 DeepSeek。” (I am DeepSeek) This is the same model whose company just accused DeepSeek of “industrial-scale distillation attacks”
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Gromit Chan 🇭🇰
Gromit Chan 🇭🇰@GromitC·
These customer facing AI products have zero stickiness nowadays. On random days I feel like using Codex or Claude Code and I just switch them effortlessly.
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Gromit Chan 🇭🇰 retweetledi
Jaana Dogan ヤナ ドガン
I'm not joking and this isn't funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, not everyone is aligned... I gave Claude Code a description of the problem, it generated what we built last year in an hour.
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Jelani Nelson
Jelani Nelson@minilek·
Yikes. Kids, don’t lie on your college applications. Below is what happened when an admissions officer emailed me with questions about a supposed AddisCoder alum who applied to their university.
Jelani Nelson tweet media
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Zhu-Tian Chen
Zhu-Tian Chen@ZhutianChen·
Heading to Vienna for #IEEEVIS ✈️. Join us tomorrow (Mon, Nov 3) 9 AM in Hall M1 for the 1st VISxGenAI Workshop. Can’t wait to see the AgenticVIS Challenge awards and all the amazing works : ) visxgenai.github.io
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anirudh
anirudh@kamathematic·
"phd level intelligence" "best codegen ability" have you considered the idea that phd code quality is garbage
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no context memes
no context memes@nocontextmemes·
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James Zou
James Zou@james_y_zou·
📢New conference where AI is the primary author and reviewer! agents4science.stanford.edu Current venues don't allow AI-written papers, so it's hard to assess the +/- of such works🤔 #Agents4Science solicits papers where AI is the main author w/ human advisors. 💡Initial reviews by LLM reviewers w/ final assessment + selection by human experts. 💡Submissions are asked to clearly document AI contribution. 💡All submissions/reviews will be public to enable transparent study of the strength and limitations of AI as researcher and reviewer. We expect AI will make mistakes and it will be instructive to study these in the open! Many thanks to the fantastic co-organizers and expert advisory board! Please see the website for more information.
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Gromit Chan 🇭🇰
Gromit Chan 🇭🇰@GromitC·
Didn’t expect this when scrolling for football news 🤣
Fabrizio Romano@FabrizioRomano

.@Adobe and the @PremierLeague – here we go! Adobe is now the official creativity and digital fan-experience partner of the Premier League. Fans can expect more personalised content and closer connections with players and clubs. With Adobe’s AI-powered tools in @AdobeExpress, fans can create content and customise their Fantasy Premier League experience with personalised team badges. Stay tuned for more between Adobe and the Premier League this season. #ad

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Gromit Chan 🇭🇰 retweetledi
ℏεsam
ℏεsam@Hesamation·
some guy at Mastercard prompt injected a job posting and just days later it tricked somebody’s ai 😂
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Shreya Shankar
Shreya Shankar@sh_reya·
We met on this app 4 years ago. We finally finished all our weddings! 💒
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Gromit Chan 🇭🇰
Gromit Chan 🇭🇰@GromitC·
AI coding assistants are square multiplier to your coding capabilities. If you are 10X engineer you become 100X. If you are 0.1X you become 0.01X.
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