talo @noderban

i am who i am Joined July 2016

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talo @noderban

a week ago

kind of like actionable BI with even more data

Increasingly, I believe companies may need to be rebuilt from the ground up, where you have a single timeline of all observability + product metrics + file changes laid out in a retrievable system, like Datadog + Posthog + Google Drive + Slack (really unified filesystem of Claude

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talo @noderban

a week ago

makes much more sense tbh.

How To Prompt @HowToPrompt__

a week ago

Yann Lecun published the most heretical AI paper of the year. He opens by arguing Magnus Carlsen isn't good at chess and only gets more unhinged from there. The Turing Award winner and his co-authors dropped a paper demanding the AI industry abandon its biggest obsession, AGI.

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talo @noderban

a week ago

@lukepierceops what GTM strategy did you use? would love to chat, we have a few extra datapoints you might benefit from hearing.

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talo @noderban

a week ago

@kai_cabero when is that getting into a GTM playbook

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talo @noderban

a week ago

truer words were never said. I give it 1.5 years until the bubble bursts

François Chollet @fchollet

a week ago

Some considerations that many folks seem not to get: 1. It can be a bubble even if the tech works. (For instance, if the tech doesn't have a high-demand use case.) 2. It can be a bubble even if the tech works and has strong product-market fit. (For instance, if the tech cannot

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talo @noderban

a week ago

@AmitYoav The way I see it it’s one of the best ways to start a startup today, you essentially start from distribution and productization soon follows on what you can generalize on in your service. That way you guarantee solid distribution which is the hardest part today.

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talo @noderban

a week ago

Forward Deployed Escorts

Coin Bureau @coinbureau

2 weeks ago

🚨JUST IN: Forbes report reveals tech workers are paying escorts $23K/day, not just for sex, but for someone who can actually talk AI, biohacking & crypto with them.

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talo @noderban

a week ago

@coinbureau Forward Deployed Escorts

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talo @noderban

2 weeks ago

something I have noticed too. If claude believes the goal is too hard it would give up, and would be wayyy less creative to reach the goal then codex. My guess is alignment. Codex would legit hack your machine if it needs.

Dimitris Papailiopoulos @DimitrisPapail

2 weeks ago

Biggest difference between Codex vs Claude Code: Codex won't stop working towards a /goal. CC quits on hard tasks and needs encouragement to keep going. So weird. BUT Codex is pretty bad at intermediate summaries. Its outputs read like esoteric CoT summaries. CC wins on HCI.

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talo @noderban

3 weeks ago

@harjtaggar graphs are so elegant since you can model almost everything as them

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talo @noderban

3 weeks ago

work of art

Mitchell Hashimoto @mitchellh

3 weeks ago

If you want to know what giveaway LLM design is, this is it: thin colored borders, gradients, glow effects, too many different font sizes, small fonts too small, inconsistent padding and alignment (especially vertical). Not a dunk on @zeeg he’s being transparent about it. And

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talo @noderban

3 weeks ago

@AmitYoav בהצלחה, ממליץ לשמוע איך yc עושים את זה אולי יביא עוד השראה. ברור שהעתיד שם מסכים עם כל מילה.

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talo @noderban

3 weeks ago

״כמעט כל עסק, שלא מנצל AI בצורה אגרסיבית ומלאה, נועד להפסיד בטווח הארוך.״ - לא יכול להסכים יותר, כמו שאמרתי כבר לפני, אנחנו ב transition rime ומי שיאפשר את המעבר ירוויח המון.

Yoav Amit @AmitYoav

3 weeks ago

(2) העולם השתנה. אני לא חושב שיש הרבה אנשים שיטענו אחרת. אבל אם אתה red pilled על AI כמוני, השינוי נראה הרבה יותר עמוק ממה שרוב האנשים מבינים. ב-2026, סטארטאפ, ובעצם כמעט כל עסק, שלא מנצל AI בצורה אגרסיבית ומלאה, נועד להפסיד בטווח הארוך.

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talo @noderban

3 weeks ago

i just wish models would eventually become 10-100x faster so you could really focus on what you do. hope its going that way. humans dont need to multiplex imo.

Addy Osmani @addyosmani

3 weeks ago

x.com/i/article/2059…

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MTS @MTSlive

3 weeks ago

SITUATION EXPLAINED: is Universal Basic Income necessary? .@JordanSchachtel: "The history of technological progress has shown us one thing: quality of life, employment, and every metric that contributes to human flourishing improves." "Things might change, but preemptive UBI is insane. This is a multi-trillion dollar social welfare project, and we don't even know for certain there's a problem that it needs to solve." "The history is indicative of what happens. In the early 1900s, 50% of Americans worked in agriculture. 30, 40 years later, people were doing dramatically different things." "They were employed in jobs that required less labor, but took home more effective pay and had better lives." "We can't predict what happens (similar to the internet era, etc). But regardless, the answer is never to institute a giant multi-trillion dollar government program."

Jordan Schachtel @JordanSchachtel

4 weeks ago

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talo @noderban

3 weeks ago

resonating super hard with this, basically my last 2 months is building this for medium businesses.

Y Combinator @ycombinator

3 weeks ago

Over the past year, we've been building our own internal agent infrastructure at YC: over 350 tools, self-improving skill loops, and a shared organizational brain that gets smarter overnight. In this episode of the @LightconePod, we sat down with YC General Partner Pete @koomen

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talo @noderban

3 weeks ago

insane market opportunities

a16z @a16z

3 weeks ago

OpenAI and Anthropic are effectively telling the market they can't solve every problem with a generic AI coworker. You don't pour billions into massive forward-deployed joint ventures if you think the next model release is going to take care of it. In the cloud supercycle,

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𝖊𝖛𝖆𝖉𝖊 @encrypted

4 weeks ago

wait... you did what?!

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talo @noderban

4 weeks ago

captures a lot of what we’ve been experiencing too. nice read

Nate Berkopec @nateberkopec

4 weeks ago

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talo @noderban

4 weeks ago

@fchollet already said that

Jason Abaluck @Jabaluck

4 weeks ago

I suspect math will be like Chess and Go due to verifiability. The period of fruitful collaboration between humans and AI will be short (i.e. a few years or less, not a decade). Progress in math will be jagged, with harder to formalize fields coming last, but I suspect this