I distribute content on Reddit. 100M views across 40 brands. Spacestation Labs. Co-host @gregoryandpaul show. ex-CTO, UWaterloo Electrical Eng
Joined February 2010
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Data was never the moat, good judgement was.
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Jun 13
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: anthropic.com/news/fable-myt…
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No lie the bartender just asked if he should invest in spacex after seeing my company card for “Spacestation”
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Paul Xue retweeted
Join us tomorrow at 10:00 AM for the Gregory and Paul Show Livestream Special Report: We're Not Sayin' It's the Top, But...
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Paul Xue retweeted
Jun 9
Ok, this AI token stuff is getting ridiculous.
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read a ton of biographies this pretty much sums it up:
20s - honing your hard skills
30s - honing your sales skills
40s - honing your management skills
50s - honing your leadership skills
60s - honing your teaching skills
you really only need a decade to get good at doing stuff and rest of your life is spent figuring people (yourself included) out.
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my entire timeline is people sharing VC stories, so here’s mine.
Index fund passed on investing in my third startup few years ago, told my CEO I was too shitty of a CTO / leader to be investable.
Honestly they were probably right at the time, I was 6 years into my startup journey and getting comfortable as a lead dev instead of a co-founder. I was just building the thing and not growing the company.
CEO was nice about it but the feedback stuck with me and really re-lit a fire inside. Helped me figure out wtf it takes to actually play this startup game and the kind of founder I need to become.
Startups are hard and sometimes you need harsh rejections to wake up a little.
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Here's what a true AI-native service company looks like.
1. FDE phase: discovery 3 months to build agent environment and collect first-party data. Get fully embedded into the client's day-to-day and mess. This is commoditizing fast.
2. Self-learning and scoring system / data priming. Either use existing platforms or train your own thing. This is the moat.
3. Frontend to consume the whole thing. Already commodity.
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we're moving into the long predicted "fix the mess" phase of the hype cycle.
Jun 5
4 AI audits this past week.
Every company was convinced their data analysis was automated, accurate, and reliable because it was "AI powered".
- Restaurant company had their food inventory and waste miscounted and labeled, $50k down the drain in 3 months
- Dental office voice AI incorrectly labeled bad leads because the customer would say they weren't available for a certain day, so even after the phone call ended the appointment would get cancelled automatically by the same AI. Management was not aware of this
- Landscaping company had blueprints incorrectly labeled by AI so their orders were off, causing delays in what they needed to buy and excess in what they didn't need. $400k in damages
- Marketing Agency had outbound campaigns with 9% conversion rate (not response rate), but nobody bothered to check that they were counting conversions as any response, even automated OOO or "No thanks" responses. True conversion rate was <1% and response rate was abysmal because they were getting marked as spam. They had a dashboard with other metrics that were completely off to what they truly needed to see... big fumble.
please hold yourselves accountable for actually doing work and truly looking at the data!
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Sidney Sweeny, when asked about Marc Andreessen's support for the book Abundance said,
"I found the book's treatment of supply-side constraints compelling, and I remain confident that the real challenge is the political mechanisms required to overcome entrenched anti-development coalitions."
May 30
My strategy to bury “Abundance” by loudly praising it upon publication seems to have worked.
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CANADA STARUP MAXXING
GDP: ↓
Burn rate: ↓
Healthcare costs: ↓
Office rent: ↓
Runway: ↑
Math checks out.
May 29
JUST IN: Canada has officially entered a technical recession after two straight quarters of economic contraction.
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