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JB
258 posts

JB
@jbs_hobbies
IB ➡️ PE ➡️ PE Operator | @jbs_hobbies on the gram
Katılım Ocak 2022
845 Takip Edilen119 Takipçiler

“so i finally rolled back from Claude Opus 4.7. like yeah the SWE-bench numbers are insane at 87.6% but the latency on extended thinking is genuinely painful and idk the benchmarks just dont feel like they generalize outside of evals lol
been doing a weird rotation lately. GPT-5.5 for anything agentic, Gemini 3.1 Pro when i actually need to think. that 94.3% GPQA Diamond score is not a joke btw. and Grok 4.3 for real-time stuff bc its literally the only model that knows what happened this week
DeepSeek R1 when im on a budget. Kimi K2 when i want to feel something
honestly tho Sonnet 4.6 is still my daily driver. Opus feels like overkill for like 90% of prompts
anyway sorry i’ve been talking forever
whats your name
…Chad”

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Which Outlook?
Asking for a friend.
Get Outlook for iOS

Satya Nadella@satyanadella
Agent Mode is here in Outlook! Copilot can now help run your inbox and calendar, triaging emails, rescheduling meetings, and helping you stay on top of what matters most.
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If the spirit of adjustments is to normalize earnings, this makes sense. The tough part is, if you really want to own the business and others are willing to pay off this adjusted number, you may not get to the highest price discounting the adjustment. Has to be looked at in the context of the whole business and what the market is willing to pay. The adjustment and risk that comes with it is definitely something to be eyes wide open to….
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@Restructuring__ For the vast majority, it’s more beneficial from a personal benefit standpoint to engage with the post on LinkedIn vs X
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Two things crack me up:
1) Blackstone spends tens of millions on marketing, and their post on X gets 14 likes and 1k views
2) LinkedIn loves the same dumb content that X does not want to see, tells you everything you need to know about where the smart folks are

Blackstone@blackstone
Jon Gray breaks down $BX's first quarter results: 1️⃣ Blackstone is an all-weather firm amid volatility ☁️☀️🌩️❄️ 2️⃣ 2026 is still the year of the IPO 📈📈📈 3️⃣ AI infrastructure is powering results for our investors🔋💻💡 Read more: bit.ly/4csFl3e
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@SecretCFO You’re absolutely right. It’s not what matters - it’s what we should focus on.
Need a filter on my inbox that scrubs this syntax
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@GamewithDave Zoo tycoon. One exhibit and a bunch of restaurants and concession stands
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@aakashgupta Data centers seem primitive. Computers that take up a whole room sorta vibe. A more elegant solution is bound to happen
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We’re spending $200B+ a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week.
Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest.
That compression from 18 months to one week tells you everything about where this is going.
Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales.
The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025.
Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples.
The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute.
The question was never “can it run Doom.” The question is what happens when it can run everything else.
Curiosity@CuriosityonX
🚨: A petri dish of human brain cells just learned to play DOOM
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Awesome feature, could add an option for “Monitoring the Situation” with the topic being whatever X (or Grok) has deemed most important/popular at the time. Sorta like the banger badge but for topics of the day. Will also help with the timeline being consumed by the “current situation” if more niche and not of interest to others I.e., the clavicular thing
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