Analytic Kant

ornery language philosophy. artifactual consciousness. attention & (ir)responsibility. Φ & Ψ. RLAIF. Wittgenstein, etm.

[Tara Blume @tcblume]

Science gasps for breath. They are removing all the ocean monitors to understand changes in currents and climate, and the excuse is a master class in obfuscation & double speak . (1/2) https://t.co/vs782YbcI3

[Andrej Karpathy @karpathy]

Wow, this tweet went very viral!

I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs.

So here's the idea in a gist format: https://t.co/NlAfEJjtJV

You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.

[Aaron Levie @levie]

Token costs will become a dominant topic in enterprises going forward with AI. Just got out of a dinner with many Fortune 500 enterprise CIOs and this was the most heated topic.

A mix of strategies are being employed, but basically no one feels like they have the right solution. A mix of: figuring out how to prioritize workloads to different models, giving out access to better or worse agents by user type, setting different spend caps by team, having teams justify AI by their use-case, and some just having unfettered access.

Everyone is trying to figure out a semi/predictable model right now in a world where the underlying tech and cost models are constantly evolving.

[Analytic Kant @KantNot1]

tfw your best friend, who showed you the internet when you were 13, agrees with something you said

[Brett Caughran @FundamentEdge]

A big pivot from Ken Griffin on AI:

“Number one is, in the last few months, there has been a step change in the productivity of the AI toolkit. It is profoundly more powerful than it was just nine months ago.

And for us at Citadel, that has allowed us to unleash a much broader array of use cases for AI. And it has been really interesting to watch, to be blunt, work that we would usually do with people with masters and PhDs in finance over the course of weeks or months being done by AI agents over the course of hours or days.

These are not these are not mid-tier white collar jobs. These are like extraordinarily high skilled jobs being, I'm going to pick a word, automated by agentic AI. And I gotta tell you, I went home one Friday actually fairly depressed by this because you could just see how this was going to have such a dramatic impact on society.

When you witness it in your own four walls, when you see work that used to be man years of work being done in days or weeks, it's like, wow, like that's the first time I've seen real impact in our four walls.”

This echoes my own experience with agents and the conversations I am having with students, friends & clients. The toolkit has dramatically transformed and it feels like in finance, for the first time, AI is real.

[Analytic Kant @KantNot1]

apple about to plug whatever gap that has allowed meta to access iphone microphones while locked

[Rohan Paul @rohanpaul_ai]

WSJ: Anthropic’s Mythos helped researchers find 2 unknown macOS kernel bugs and turn them into a working privilege escalation exploit in 5 days.

The target was the macOS kernel, the deepest layer of Apple’s desktop operating system, where code controls memory, processes, permissions, and access to hardware.

Mythos helped connect 2 separate flaws with extra exploitation techniques, which means the attack did not rely on one bug but on a chain where each step made the next step possible.

The exploit allegedly corrupted memory, bypassed Apple’s memory integrity protections, and gained access to protected parts of the system that normal apps should never reach.

This is serious because modern macOS defenses are built to make memory bugs hard to convert into control of the machine, not just hard to find.

Mythos can become so powerful here because vulnerability research is a search problem with many dead ends, where the model can help form hypotheses, inspect code behavior, reason across low-level constraints, and suggest exploit paths faster than manual work alone.

---

wsj .com/tech/ai/anthropic-mythos-apple-macos-bug-339da403

[Analytic Kant @KantNot1]

David Chalmers at Berkeley elegantly brings up the perennial question about the realness of water bottles while discussing his colleague Tom Nagel’s bat in a talk about AI consciousness - impressive hat trick

[Ed Zitron @edzitron]

I don’t think people realize the ramifications of OpenAI’s revenue growth slowing. Oracle is building about $348bn in data centers and needs OpenAI to pay it $75bn a year in revenue to keep up with the costs. Ellison has bet everything on this.

https://t.co/kfIi6umbcS

[David Dayen @ddayen]

It's rare that you get to see both a vivid depiction of the revolving door in action and confirmation that it doesn't have to be an inevitable post-government career.

[Enoch Bowden @EnochBowden]

@flaviocopes They leveraged the fact we all expect teams to break etc

[Ali @haramcart]

Pete Hegseth is so spectacularly stupid that he used his insider knowledge of a strike on Iran to attempt a multimillion-dollar trade that LOST money

[Analytic Kant @KantNot1]

podcast bro

[Liv @livgorton]

this seems like an all round bizarre interaction?

[Analytic Kant @KantNot1]

@AmandaAskell @Tibbzzee queen size window?

[Analytic Kant @KantNot1]

She’s not wrong: For years more than I care to admit, I accepted much less than my market rate, in exchange for free classes and an office with a view of Columbia’s quad

[Amanda Askell @AmandaAskell]

Tech companies pay millions of dollars for their employees and then stick them in open-plan offices that make it nearly impossible to get work done. Best strategy for poaching employees is probably to just offer them an office with a door.

[Amanda Askell @AmandaAskell]

Tech companies pay millions of dollars for their employees and then stick them in open-plan offices that make it nearly impossible to get work done. Best strategy for poaching employees is probably to just offer them an office with a door.

[Ethan Mollick @emollick]

My most popular Sora video was “an Elaborate regency romance where everyone is wearing a live duck for a hat (each duck is also wearing a hat), a llama plays a flute, prestige drama”

I am not sure why OpenAI has decided their compute has more valuable uses. Really a mystery.

[Deedy @deedydas]

Be careful what you post anonymously. New research shows AI can find who you are solely from your posts.

It's rare to see ~500x research improvements, but they went from mapping <0.1% to 54% of HackerNews profiles to their LinkedIn.

It's so over, u/throwaway4927.

[Don Harris @DonHarris4]

Wemby asked to state his case for MVP.
1. Defense is 50% of the game. I'm the best.
2. We dominated OKC
3. There's more to impacting offense than just scoring.
He's not wrong.

[Analytic Kant @KantNot1]

smh

[Max Kozlov @maxdkozlov]

The NIH is stepping back from 'top-down' science.

Funding calls have plummeted by 90%, funneling billions into broad, 'investigator-initiated' ideas, rather than targeted, agency-driven ones.

A massive shift for the American biomedical enterprise.

https://t.co/er8SMcSHPY

[Farhan Tariq Mahmood @FARlikewhoa]

Production days in LA are down nearly half and the entertainment industry is feeling it. A friend, who has been working as an editor for over 25 years, compared it to a coal mine shutting down.