Alex W @AlexW142

Joined July 2018

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The Kobeissi Letter @KobeissiLetter

a week ago

BREAKING: President Trump says the White House considers anyone who uses the term “Artificial Intelligence” the enemy.

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Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.

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alexandra scaggs @alexandrascaggs

4 months ago

HE DID IT AGAIN it’s so ….. beautiful 🥲 group.softbank/media/Project/…

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Alexander Doria @Dorialexander

4 months ago

There are still multiple paths to make this happen. They all involve nuking two common delusions in outer space: 1. We can win at the application layer 2. Let’s give up on LLM and do 15m LeWorldModel.

Alexander Doria @Dorialexander

4 months ago

Not having any EU competitive labs (plural intended) is about to get very painful.

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John Scott-Railton @jsrailton

4 months ago

NEW: malware developers added nuclear & biological weapons text to to their spyware. Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner. Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky. When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit. We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted. In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation. H/T to colleagues that shared this with me socket.dev/blog/mini-shai…

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elie @eliebakouch

4 months ago

mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy

Claude @claudeai

4 months ago

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

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Alex W @AlexW142

4 months ago

@superrieu @Microsoft What's the point of this? DGX spark means neither enough membw for dense, nor enough memory for MoE.

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Alex W @AlexW142

2 years ago

@EconomPic @choffstein 💀

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Alex W @AlexW142

2 years ago

@BradMunchen @Danstringer74 Probably auto-reply for interacting with an ad?

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Alex W @AlexW142

2 years ago

@GRoditiD No argument there.

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Alex W @AlexW142

2 years ago

@GRoditiD I get why the environmental aspect is strange to focus on (and sorry if that's all you meant, I may have misunderstood you then), but even though the oil would've been burned eventually anyway, surely it matters whether and how it provides a use while doing so.

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Alex W @AlexW142

2 years ago

@GRoditiD OK. So the total amount of energy consumed (and/or chemical processing happening) in the world is permanently reduced. People could lament this then instead? Same money would flow, but for less useful goods.

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Alex W @AlexW142

2 years ago

@GRoditiD ... but the rate at which this happens matters.

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Alex W @AlexW142

2 years ago

@GRoditiD I think you may be looking at a shorter duration with the fixed supply argument than those who complain about the environmental impact? That said, in the very long run clearly the same amount of emissions happen (basically, everything that's economic to pump, dig etc)...

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Alex W @AlexW142

2 years ago

@sdav1986 @choffstein They write they use AQR's QMJ factor for L/S quality equity.

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Lorena Barba @[email protected] @LorenaABarba

2 years ago

The architecture of an explicit Runge-Kutta method is a Residual Network—Y. Kevrekidis …what is old is new again!

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Alex W @AlexW142

3 years ago

@KLdivergence @arrgnt_sanatan Name checks out

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Alex W @AlexW142

3 years ago

@KrisAbdelmessih @GRoditiD Kinda. All cashflows are inflated by the then-current index level, including purchase. So you'd put in an order for 100 nominal and pay 160 (times ask%).

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Alex W @AlexW142

3 years ago

@antonosika @LukeGessler Doesn't really matter. The task is to classify texts by topic rather than their position on the respective topics. It's basically a cheap and ubiquitous text embedding.