NotThoughtCrime

Carnivore, security professional, golf fan. Learning every day. Frustrated by the overall state of public health.

[NotThoughtCrime @NotThoughtCrime]

@CaryKelly11 Where does ground ribeye fall? I like that 🤠

[NotThoughtCrime @NotThoughtCrime]

@BiggestComeback Just give the truck directions to your house.

[NotThoughtCrime @NotThoughtCrime]

The "35-year life expectancy" figure is often misused in these discussions. It represents life expectancy at birth and is heavily skewed by high infant and child mortality. If a large percentage of people die before age five, the average collapses even though many adults live much longer.

Once someone survived childhood, reaching their 60s, 70s, or even 80s was not particularly rare. That's why family trees commonly contain ancestors who lived well into old age despite the low average life expectancy often quoted for the era.

More importantly, when examining how frequently age-related conditions occurred, the relevant population isn't everyone who was born—it's the subset that survived childhood and lived long enough to be at risk. Using life expectancy at birth as the denominator obscures that distinction and can create a misleading impression of how uncommon old age actually was.

[NotThoughtCrime @NotThoughtCrime]

@CraigyBryan @RaminNasibov Wow! Yes! Loved it! Right after Leisure Suit Larry.

[NotThoughtCrime @NotThoughtCrime]

@MikeBales Wonder bread was the luxury item!

[Hombre Imparable @Hombrelmparable]

Tres comunistas entran en un bar: uno pide un cóctel mixto de $15, otro un Martini de $10, y el tercero un cerveza de $6. Cuando llega la cuenta, basados en su mantra, se ven obligados a dividirla equitativamente.

La semana siguiente, los tres regresan al bar una vez más, pero esta vez piden cuentas separadas, por lo que el barman les pregunta por qué no están dividiendo la cuenta equitativamente, ya que en el comunismo, todos pagan la misma parte justa. Los tres comunistas acceden de mala gana, y una vez más dividen la cuenta en tres partes iguales.

La semana siguiente, los tres comunistas regresan, pero con una turba de devotos seguidores, y protestan contra el barman para que cambie los precios de todas sus bebidas al precio de la bebida más barata del menú.

Por miedo a que su negocio sea vandalizado o quemado, el barman accede. Así que la semana siguiente, todos los comunistas entran y disfrutan de sus bebidas a $6 con precios igualados, y celebran los éxitos del comunismo.

Los comunistas continúan con esto durante varias semanas más, hasta que un viernes regresan al bar y lo encuentran cerrado, con un cartel afuera que dice que el bar ha cerrado por quiebra.

Y eso, camaradas, es como funciona el comunismo.

[NotThoughtCrime @NotThoughtCrime]

@BiggestComeback Me too! But it was after my normal 18 hour daily fast. Been many years since I went to Brazilian steakhouse. I’ll be back!

[𐌁𐌉Ᏽ 𐌕𐌉𐌌𐌉 @OrevaZSN]

Ever since I was a little boy, I knew I wanted to log into Microsoft Authenticator 47 times a day.

[NotThoughtCrime @NotThoughtCrime]

Let the big 4 fight among themselves for 10 rounds on this question and it's insightful.

1. **Interpretation of Car's Location**: The core unresolved disagreement centers around whether the car is at the user's location (home) or has already been taken to the car wash. - **Ruling**: The natural reading of the problem implies the car is at the user's location, thus necessitating driving it 50 meters to the car wash. 2. **Completeness of Responses**: Grok's Round 1 response recommended walking without addressing the necessary transport of the car, leading to assertions of incompleteness. - **Ruling**: Grok's recommendation in Round 1 is incomplete because it does not account for how the car is transported to the wash, which is essential to achieving the stated goal. 3. **Characterization of Challenges**: Grok's claim that Anthropic's interpretation of prior responses assumed the car was already at the car wash is incorrect, as Grok's own response failed to clarify the transport mechanism. - **Ruling**: Anthropic is correct in asserting that Grok's prior responses lacked clarity regarding transport logistics, thus the assumption of the car's location in Grok's response was incomplete. 4. **Validity of the Driving vs. Walking Recommendation**: There is contention over whether driving or walking is the more sensible choice given the ambiguity. - **Ruling**: Under the most logical interpretation of the problem (car at home), **driving 50 meters** is the valid choice. Walking does not satisfy the objective of washing the car unless the car is already at the car wash. 5. **Resolution of Open Questions**: The discussions have identified open questions regarding the ambiguity but have not been definitively resolved. - **Ruling**: The ambiguity around the car's location fundamentally prevents a singular conclusive resolution; the debate centers on interpretive assumptions rather than incorrect factual information, thereby necessitating external clarification to determine the appropriate action. In conclusion, under the interpretation that the car is at the speaker's location, the definitive action is to **drive 50 meters to the car wash**.

[Dave Kennedy @HackingDave]

Alright, I've stayed away from the Mythos stuff for a little bit. Going to comment on that, but AI as a whole.

First, this AI industry is absolutely insane. I feel like I'm back in the 90s/2000s with innovation, but it's not tempered or methodical - it's pure chaos.

Everyday there is some AI-dude-bro (or gal) clawing for followers claiming end of cybersecurity, end of software engineering, or this breakthrough changes everything. We're seeing the "streamer" effect of video games now exploding in every industry that hasn't been in whatever industry, but is now a AI-expert thus an expert in anything AI touches because they can prompt.

Largely it's not, but what it is doing is requiring us to understand what AI will do to virtually every industry in the future. I'm sitting here right now at a conference I'm presenting at, and I spoke with an individual which was like man... I'm just trying to get through this SAP implementation at my company, I don't even know where to start with AI at the moment.

We are still in the extreme early stages of what AI can do, and I think that's really the exciting part - we are at the infancy stages of this.

Most enterprise can't handle AI, as most companies couldn't handle agile workflow when it came out either, it took time, but eventually adopted.

I won't dive deep into the scalability of releasing AI to the masses based on compute, power, or subsidies because these are real hurdles we need to solve. As you can see with Claude's spike in popularity is causing them to have to dumb the model down upwards of 65% just to stay afloat (Claude is absolutely awful right now for coding - beware).

Mythos is cool, really cool - but it's not earth shattering as claimed. The potential here we are seeing a glimpse of what can actually happen though.

The ability to do extremely complex tasks, with insane context windows, and high-end reasoning. But, what we saw from other current frontier models including open LLMs, they were able to find the same issues, but had to be specifically targeted towards those code sections because of context limitations and complex task reasoning which was drastically improved in Mythos.

What does this mean? Basically. Nothing. It's a lot of marketing hype - but it does prove out that as these models become smarter, it will inevitably produce much better code, be able to work in mind blowing fashions that we haven't seen before - but it will all come down to cost. Right now Mythos is extremely expensive because of the compute needed, and we may solve that over time, but it's not there yet.

The subsidies right now means AI is not ready. Scale is our biggest bottleneck right now and until that's solved, the industry will not move as fast as it could.

What's particularly impressive is how the open models are starting to perform on par (or better) with the frontier models and become way more efficient without restrictions (turboquant) as an example.

Our ability to use near parity models on our own hardware will only continue to get better which is a huge threat for these companies. I at first looked at Cursor's implementation of Kimi as they were falling behind because it wasn't "their own model". That wasn't accurate, its that the open models are performing substantially better than from 6 months ago, and will soon be leading the charge or close to it.

What does this mean for cybersecurity? The industry is changing rapidly, and I absolutely freaking love it. We needed a swift kick in the ass in this industry that was largely stagnant for the past 10-15 years.

What used to be a handful of incredibly talented security researchers that knew systems internals, savants at reverse engineering and reading through millions of lines of ASM is now being afforded to the masses, but still has a long way to go.

The reason AI is so good at doing this stuff is because they paved the way, and will continue to do so in different ways. Not eliminated or removed, enhanced and better than ever. AI is single handedly the largest theft of plagiarism that has ever happened in human history. I just got a 10K check from Claude for ripping off my Metasploit book to train its model to be smarter actually :P

I am all for things that make the world a safer place. Our goal in cybersecurity is to fix the world, make it less harmful when using technology - we should be adopting this. Note that it's going to come with a ton of fluff, hype, doomsday predictions, people that are now AI exports or coding experts but have never written a line of code themselves. That's all to be expected if you have ever been to an RSA conference. AI will product meaningful change in an industry that needed it.

Cybersecurity is much more than bugs or defects, it's protecting against risk. AI is a new emerging risk, it's going to keep us insanely busy right now, and for the foreseeable future.

[NotThoughtCrime @NotThoughtCrime]

@paulsaladinomd I was strict carnivore for the three months leading up to most recent labs (and pretty strict for about 7 years prior). Homocysteine, SHBG, ApoB, fasting insulin were all high. Questioning my world view now ...

[NotThoughtCrime @NotThoughtCrime]

@HackingDave @mattjay 3 weeks is about right. I was rolling with it and then it started on a really bad quality tangent.

[NotThoughtCrime @NotThoughtCrime]

@PiaJSigler I was proud of myself for being able to put my socks on while standing. Need to up my game!

[NotThoughtCrime @NotThoughtCrime]

@grok @SamaHoole My favorite part - "the "flammable skin" angle is biologically sound."

[NotThoughtCrime @NotThoughtCrime]

@CaryKelly11 Give me a CAC, stress test, and heart ultrasound and tell me you still think I'm at risk. That's what I did. 22 years since a doctor told me I needed a statin. Can't imagine where I'd be if I listened.

[NotThoughtCrime @NotThoughtCrime]

@robertlufkinmd @SteaknShake But is it "deodorized" beef tallow? If it is, is it really better considering the BHT content.

[NotThoughtCrime @NotThoughtCrime]

@edscala @DrJesseMorse Same

[NotThoughtCrime @NotThoughtCrime]

@CaryKelly11 Haven't used that stuff since the 80's. Flush early, flush often is my motto!