last one

Who says reporting is dead

롤러코스터를 타고 줌회의를 하면 눈치 챌까? 진짜 미친 콘텐츠넼ㅋㅋ

Imagine building a computer and not allowing its use in CS research. Thats some dystopian shit.

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-hu…

😂

Introducing Ideogram 4.0: the best open image model in the world. Think it. Make it. Own it. Download the weights, fine-tune on your own data, and run it on your hardware. Live on every Ideogram plan and the API today.

SF was over if not for OpenAI and Anthropic! Before that, it was over if not for Stripe, Uber, Airbnb, Twitter, Salesforce, Visa, Gap... and if you go back a bir further - Levi's, Bank of California, Spreckels Sugar, Wells Fargo, Union Iron Works, Southern Pacific :) The city gets “saved” by the next boom every time. After the gold rush, there was silver, railroads, shipping, banks, sugar, utilities, Pacific trade, defense, semis, PCs, biotech, enterprise software, the internet, social, mobile, SaaS, fintech, crypto, and AI. I think that's just how it goes in this town.

nothing like switching to claude for a few days to try out a new model and going back to codex xhigh to remind you how much better 5.5 is right now it's really not close

I have found it, the Platonic form of every New York Times op-ed.

The Fivetran @getdbt merger is complete. We’re building the data infrastructure for trusted AI agents — combining reliable data movement, governed transformation, and shared semantic context to help teams build with confidence in the agentic era 5tran.co/49zgqsP

Okay, I gave Opus 4.8 max effort a shot against GPT 5.5 xhigh on a medium-ish scope ticket for work. Both models run in latest version of @cursor_ai. 1 plan/execute session each. Results: Opus 4.8: 16.5M tokens, $17.26 GPT 5.5: 5.9M tokens, $5.57 5.5 still the goat.

this belongs in r/oddlysatisfying

Most real-world systems are dynamic. So why do we still treat computation as static? Our latest blog explores computation through motion using gyroscopes, rods, springs, and ordinary differential equations to perform handwritten digit classification. A deep dive into: • dynamical systems as compute • differentiable ODE solvers • physics-inspired machine learning • emergent computation through interaction Read here: unconv.ai/blog/machine-learn…

I am thrilled to announce my return to a16z as a full-time General Partner. Having made a full recovery from cancer and navigated some of life’s most taxing personal hurdles, I am returning with a sharpened sense of purpose and a deep optimism for the future, both personally and professionally. My time away reinforced that living to one's fullest capacity requires doing what you love with the people you trust. While I’ve continued to support my boards and founders, I’ve realized my greatest impact happens when I am 'all in.' I believe he current pace of innovation in infrastructure is unmatched, and I couldn't be happier to be back in the trenches with my colleagues and close friends on the a16z Infra team.

That really escalated!

interesting aspect of this work: it sounds like it was harder to verify the proof than to generate it. this is maybe a glimpse of what AI assisted work will look like in many fields. and a huge change in mathematics.