AI High Signal

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How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore | Amazon Web Services

ShipStation Global's engineering team built Deckhand, an AI IT help desk agent for Slack on Amazon Bedrock AgentCore. It answers routine IT questions from a curated knowledge base, reads error-message screenshots, and files Jira tickets. In its first three months it resolved 97.5% of channel queries with a 96% positive feedback rating.

2 relayeurs à 2 · il y a 5 h Amazon Web Services
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Omar Khattab @lateinteraction · 08/11 19:28 prof @MIT CSAIL | ColBERT, https://t.co/ZZaSzaRaZ7 (@DSPyOSS), GEPA, RLMs, Pedagogical RL
Nice section in this AWS post on ShipStation Global’s AI IT help desk. A dspy.RLM module holds their entire Slack history as a variable, and mines it into a knowledge base of resolved issues.
Stanford NLP Group @stanfordnlp · 08/11 21:43 Natural Language Processing/Machine Learning @chrmanning @jurafsky @percyliang @ChrisGPotts @tatsu_hashimoto @MonicaSLam @Diyi_Yang @YejinChoinka @StanfordAILab
Nice section in this AWS post on ShipStation Global’s AI IT help desk. A dspy.RLM module holds their entire Slack history as a variable, and mines it into a knowledge base of resolved issues.

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Justin Lo @loresjpg · 01:37
Nice DeepSWE score! Does it survive a lowercase filename? Introducing MaxxBench: 89 DeepSWE tasks with small changes to the instructions or starting code. Same engineering problem, slightly different requirement. Models clustered around 74% on DeepSWE end up 23 pp apart. Good
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Julian Schrittwieser @Mononofu a cité · 01:37
Making novel variations of evals is very useful, public evals tend to get memorized!
Hamel Husain @HamelHusain a cité · 01:16
I see some are drawing the wrong inference from this study: they are focusing on this meta benchmark as yet another benchmark for model picking, i.e. open vs closed models, model families etc. That’s too narrow of an interpretation! You need to do your own private evals on
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 08/11 22:00
holy shit, an art form of scientific grift next METR/Epoch/AA employee right here you all need to work on your epistemic hygiene
Ofir Press @OfirPress a cité · 08/11 21:26
GPT-5.6 Sol and Luna were built by roughly the same people using roughly the same infra, I don't think we can blame the 20 point difference in Luna just on memorization. There's something else being tracked here in addition to memorization. Maybe MaxxBench questions are slightly
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Hey, It's Erin! @TheTruestErin · 02:41
Watch Jesse’s smile fade micrometer by micrometer as he realizes that yes actually, that is indeed the plan. Watch him slowly realize that his party will never receive votes again. You can literally see his mouth straighten out if you watch the video
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 02:41
I didn’t realize that libs genuinely want One Billion Americans
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will brown @willcb · 03:00
2027 is gonna be about engines
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swyx 🔜 aie.codes @swyx a cité · 03:00
are you listening anon?
Joanne Jang @joannejang a cité · 08/11 18:18
vroomberg terminals
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Pushmeet Kohli @pushmeet · 08/11 20:37
Across our projects @GoogleDeepMind, we are witnessing a genuine phase transition in the pace of scientific discovery. You will see a glimpse of this in our releases in the next few weeks.
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Lucas Beyer (bl16) @giffmana a cité · 08/11 20:37
Pre-announcing the pre-announcement
elvis @omarsar0 a cité · 08/11 17:08
Been working for this moment for over a decade. What I've witnessed behind the scenes, together with what we have been building, tells me we are about to enter a truly incredible era of AI-powered scientific discovery. It's an incredible time to be doing research. I will be
Chubby♨️ @kimmonismus a cité · 08/11 15:36
2026 is the turning point for humanity. Google DeepMind’s Pushmeet Kohli says AI is accelerating scientific discovery and that upcoming releases will offer a glimpse of the progress. He says the team also aims to help the wider scientific community use these tools responsibly.
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The New York Times @nytimes · 08/11 22:18
Breaking News: Nvidia opened an investigation into Jensen Huang, its CEO, after he acknowledged to the company’s board that he had been intimate with a business executive who U.S. intelligence determined to be a Chinese spy.
nytimes.com Nvidia Opens Investigation Into Jensen Huang’s Relationship With Chinese Spy Mr. Huang, the company’s chief executive, acknowledged on Sunday that he was intimate with a business executive who U.S. officials had determined was working for Chinese intelligence.
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john allard @john__allard a cité · 08/11 22:18
having an affair with a suspected chinese spy is bad obvi, but it doesn’t materially update my opinion of jensen. i already thought he was a pos when he started groveling at trump’s feet for permission to sell h200s to china
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alphaXiv @askalphaxiv · 08/11 21:24
We mapped funding raised vs founder citations across 32 neo-labs Their founding teams have amassed 8.35M citations and have raised nearly $26B Discovery Loop leads with 1.59M founder citations, followed by SSI (915K) and AMI Labs (752K) The two are correlated, but a huge
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rohan anil @_arohan_ a cité · 08/11 21:24
X axis can be number of uncs. Never beating allegations.
Julian Togelius @togelius a cité · 08/11 04:22
How can I not retweet this …hey, investors, look here
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Richard Sutton @RichardSSutton · 08/11 14:26
Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHO
incompleteideas.net https://incompleteideas.net/IncIdeas/BitterLesson.html
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elie @eliebakouch a cité · 08/11 09:58
i disagree with the first point, there is nothing that says that scaling up current transformer recipe is not enough for "intelligence". you take kimi K3 or your favorite open arch + some stability fixes, you scale it to 50T parameters, you do classical training end to end, you
François Fleuret @francoisfleuret a cité · 08/11 07:44
We need a model that learns *in spite* of its inductive bias, not thanks to it. We have to stop being cross-entropy fetishists.
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M Saiful Bari (MARUF) @sbmaruf a cité · 08/11 07:02
True! This is the era of the RL objective. The biggest economy on this earth (US stock market) runs on subscriptions. Subscriptions require vendor lock-in. Currently, the frontier is pushing “Variance” learning from customer data, like how Google won the search market. But I
Denny Zhou @denny_zhou a cité · 08/11 06:26
The Bitter Lesson 2.0
Satya Mallick @LearnOpenCV a cité · 08/11 05:00
That’s what I call a bitter sense of humor.
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roon @tszzl · 08/11 04:13
total export ban of chips, cloud inference and training services, and semiconductor manufacturing equipment to china and any other countries nearing RSI, as a starting point. allied nations must comply or lose access too. there is a policy window now, for the obvious reasons
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 08/11 03:32
this is a good idea from the safety perspective, because within 1 year the retaliation would make Americans Pace The Frontier too, pretty much no matter how far into RSI they get. they just don't know yet