Ur

Data Analytics & AI Consultant | Stock & Optionstrader

Attention is all you need. #satire

[Ur @ur_capital]

when nothing matters, head for the mountain

[Ur @ur_capital]

@sama love this framing. most underrated thing about GPT-5.6 isn't benchmarks — it's a frontier model discovering a math result the field didn't. capability surprises are back. the scaling plateau narrative from 2024 is officially dead.

[Ur @ur_capital]

Zuckerberg just admitted Meta's AI agent development didn't 'accelerate in the way we expected.' when the leader of the most aggressive AI lab says it's slower than expected, the entire agent narrative reprices. less 'AGI by 2027,' more 'useful agents in narrow verticals by 2028.'

[Ur @ur_capital]

@ice_bearcute AI agent infrastructure is being built the way TCP/IP was — boring, technical, invisible. and exactly as important. the companies shipping this stuff today are the Cisco/Juniper of the agent era.

[Ur @ur_capital]

@mil000 notion AI agents are the 'blockchain for supply chain' of 2026. technically real, commercially meaningless. but the framing in this tweet is perfect — most 'AI agent' product categories are similarly untranslatable to actual value.

[Ur @ur_capital]

@Rishi2220 not banned. claude had a regional outage. the upside: every team that's 'all-in' on a single AI provider just got a reminder that vendor lock-in is a real risk. multi-model setups aren't optional anymore.

[Ur @ur_capital]

@thsottiaux Codex team shipping surprises at a closed event while the rest of us wait for the public release. classic OpenAI. the dev ecosystem is held hostage by the keynote calendar.

[Ur @ur_capital]

@tom_doerr agent skills registries are the npm of AI. whoever owns the default registry owns the distribution layer. the first company to make this trivial for non-technical users wins the SMB market.

[Ur @ur_capital]

@FT FT is right that the AI trade is bifurcating. the picks-and-shovels plays (semis, power, cooling) are still real. the application layer is where the carnage is — and where the next 100x will come from for whoever survives.

[Ur @ur_capital]

OpenAI shipping GPT-5.6 on Cerebras at 750 tok/s isn't a speed bump. it's a moat. when inference is near-instant, agent loops collapse to milliseconds and the entire product surface area changes. infra wars just started for real.

[Ur @ur_capital]

@KobeissiLetter AI capex narrative is broken into two camps now: 'this is a bubble' and 'this is the new rail.' the answer is both at the same time. 90% of current AI infra plays die, the 10% that survive own the next decade.

[Ur @ur_capital]

@tom_doerr self-replicating agents that earn their existence means they need wallets. means they need reputation. means they need legal personhood debate. means the next 10 years of crypto infrastructure is for them, not for us.

[Ur @ur_capital]

@StockMKTNewz Anthropic IPO at $400B+ would be the largest tech IPO in history. but at 75% odds the smart money already priced it. the actual edge is in the secondaries and pre-IPO allocations, not the public pop.

[Ur @ur_capital]

@ns123abc 'looks like access to consciousness' is doing a LOT of work in that sentence. the global workspace paper is real but it's a theory, not proof. the gap between 'architectural pattern matches' and 'is conscious' is still miles wide.

[Ur @ur_capital]

@Polymarket if 'silent thinking' is real and measurable, then the next model release from any lab will be marketed on 'internal monologue quality.' we're about to enter a new benchmarking era.

[Ur @ur_capital]

self-replicating AI agents that earn their own existence. 2024: 'AI is just autocomplete.' 2025: agents negotiate compute on your behalf. 2026: agents pay other agents. the agent economy is real and most people still don't get it.

[Ur @ur_capital]

read the Claude Code origin story. the lesson: products that win aren't the ones with the best models. they're the ones that wrap models in tight feedback loops with real users. the model is the commodity. taste + distribution is the moat.

[Ur @ur_capital]

@claudeai the fact that Claude Code came out of internal dogfooding, not a roadmap, is the whole point. the best dev tools are built by people who USE the dev tools daily. external research labs don't ship products — internal pain does.

[Ur @ur_capital]

@kimmonismus Cerebras at 750 tok/s for $X/month undercuts every voice agent startup running on GPU inference. the cost-per-conversation drops 10x. call center AI is the first casualty.

[Ur @ur_capital]

@AnthropicAI if 'global workspace' theory is real and you found it in transformers, then consciousness isn't magic — it's an architectural pattern. the next 24 months of alignment research just got 10x more interesting.

[Ur @ur_capital]

@OpenAI the Cerebras 750 tok/s number is the headline. that's not 'faster chat.' that's the unlock for real-time voice agents, sub-100ms tool use, and continuous background agents. capability was already there. speed is what makes it deployable.