J Tor

[J Tor @JS8534259318363]

@JCCFCanada JCCF is everywhere all at once! Their work is unrelenting and I’m happy to donate in support.

[J Tor @JS8534259318363]

@50Luckydog Maybe after this fucktard leaves office

[J Tor @JS8534259318363]

@BobRae48 Chow is a useless socialist. Vote Brad

[J Tor @JS8534259318363]

@l3v1at4an Chow is a useless socialist. Vote Brad

[Billboard Chris 🌎 @BillboardChris]

Scuffles.

Our media is run by communists contributing to the destruction of the West.

[Josh Dehaas @JoshDehaas]

They must be really angry about education funding

[Andy Schneider @AndySch64494719]

Stabiler Journalist
„Sind Sie eine Marionette Putins? Spielt Putin auf Ihnen wie auf einer Geige?“ – Der britische Journalist James Matthews an den US-Kriegsminister Hegseth.

[J Tor @JS8534259318363]

@FranYanor @AmazingZoltan It’s a fine mess!

[Fran Yanor @FranYanor]

Landowners in Richmond BC were blindsided by the Cowichan ruling. How could BC's top court strip private property protections? After slogging through 12 years of court submissions, testimony and rulings, the answer emerged, but it's not good news for British Columbians. My investigation for @BeatNorthern:
https://t.co/VABapwJ3Aw

[J Tor @JS8534259318363]

@smaxbrown @ClayTravis Yes, that why she gets massive heat-they know the risk of the few who point out there’s no pants

[Caryma Sa'd - Lawyer + Political Satirist @CarymaRules]

WATCH & READ:

In this clip, Aly Van Wyck-Smart flashes her breasts at independent content creator Rob Munro, seemingly in an attempt to get his livestream flagged for inappropriate content.

Van Wyck-Smart was participating in an anti-Israel demonstration commemorating October 7 alongside Antifa agitator Trevor Miller and Orange Hats “legal observer” Gisela McKay.

Just days later, she was arrested on charges of mischief and obstructing police at a protest against the removal of bike lanes.

It’s a shame to see a young, decorated Paralympian go down this path while surrounded by bad influences. But every adult is ultimately responsible for their own choices.

It’s also a shame to see Toronto Police devote enormous resources to ineffectively managing recurring demonstrations involving a relatively small network of activist organizers who repeatedly encourage or engage in antisocial or unlawful conduct.

It’s a further shame that these patterns are neither identified nor covered by government-subsidized media.

For example, Miller and McKay are both associated with numerous disruptive protests, including at least ten events in the past month involving street blockages or confrontations with other citizens or police.

Meanwhile, taxpayers foot the bill while residents and other members of the public bear the consequences of chaos carried out under the guise of activism.

📸 Oct 10, 2026 (Rob Munro)

#Toronto #ProtestMania

SUPPORT INDEPENDENT JOURNALISM:
https://t.co/2aUkWjbON2

[Ukraine Battle Map @ukraine_map]

There couldn’t be a bigger lie. The US wasted well over 1,200 of their 3,900 Tomahawks on Iran. None on Ukraine

Nearly all their 2,000 ATACMS on Iran, only 300 on Ukraine. Over +1,500 of their 2,300 PAC-3 missiles on Iran, only around 400 on Ukraine. Over 1,000 of their JASSM missiles on Iran. No Tomahawks or JASSM used on Ukraine.

The US lost ~40 aircraft, including Reaper Drones, F-15Es, Tanker Aircraft, Helicopters, and an AWACS aircraft on Iran. None on Ukraine. Over 500 of their ~800 THAAD missiles on Iran. None on Ukraine. SM-6 missiles on Iran. None on Ukraine. Nearly all of America’s ~100 PRSM missiles on Iran. None on Ukraine.

While the Gulf Countries wasted over +2,400 of their Patriot missiles on Iran. Combined 8x more Patriot interceptors were used by the US and Gulf countries on Iran than on Ukraine.

Trump lies every step of the way. He’s a pathological liar.

[J Tor @JS8534259318363]

@HellRaz0r1776 Looks like a whore

[J Tor @JS8534259318363]

@JonFraserTF Would love to get rid of this jackass

[Omar @TicTacTOmar]

KIRILL MARCHENKO 🚨

BETWEEN-THE-LEGS SHELF!

[Omar @TicTacTOmar]

AUSTON MATTHEWS 🚨

JUMPED FOR IT!

[Ross McLean @McLeanChronicle]

I worked with CBC Fifth Estate for one investigation they did. Don't confuse this group with rest of CBC, they do very good work, confirm it, and deliver. You can take it to the bank if it's on Fifth Estate. Watch this, the Ford's govt knew about all of this 4 years ago, and now are crushing innocent schools and students. Share widely. #osap

[Don McGowan @donmcgowan]

This is quite the about-turn.

Trump threatens to sue the BBC for $10B -> the BBC calls his bluff -> Trump panics -> the BBC are now pursuing Trump.

Outstanding.

This shows that when you stand up to the big bully, he'll almost always back down.

[MAKS 26 🇺🇦👀 @Maks_NAFO_FELLA]

🇺🇸🇺🇦🚀 Zelensky:

The question is: Can you give me missiles for Patriot?

Because when I don't attack them, because you asked me not to attack them, they will attack me.

It's fair if you give me something with which to defend myself. That's the minimum I'm asking for.

And when I'm asking this, your answer is blocking Starlink.

[GREG ISENBERG @gregisenberg]

I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies.

My observations:

1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble, and I kept wondering which niches are left. Digging into it actively.

2. At dinner, someone asked the table, "If a new model drops next month, does your company get better or worse?" HALF the table went quiet! I think that's the best question to ask about any AI startup right now.

3. The bar people talk about now is hitting $1B in revenue in 12 months (I guess that's the new unicorn?). What I didn't hear much about is retention. AI revenue can come in fast and leave fast, and I think we're going to see a lot of stories of AI companies with huge revenue and terrible retention.

4. It's pretty clear we're living through the reinvention of the computer. The model is the CPU, the harness is the operating system, and skills and plugins are the apps. Thinking about it that way makes it easier to see where the whitespace is.

5. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now.

6. Agent harnesses feel like the new GPT wrappers, in a good way, especially vertical ones. The best teams I talked to treat the model as swappable. One founder walked me through routing different models to different jobs: one for taste and visuals, a cheaper one for the everyday stuff, another for text.

They use prompts they can move across models over fine-tuning, and A/B test the output on what users actually do with it: do they edit it, export it, share it? A vertical harness is basically four things: the connectors for that industry's data, evals written by people who know the work, rules for what the agent can and can't touch, and a clean screen for a human to review. The model is maybe 20% of it.

7. There's a lot of reverse engineering going on/cloning going on more than I've ever seen. People are decompiling software and rebuilding it with agents, and someone showed a suite of like 10 apps that are worth $5B+ each all that he cloned open source. Me and everyone are still thinking through what it means when software gets this easy to copy.

8. My guess is the value moves to data. If the software can be rebuilt quickly, what's worth paying for in a legacy SaaS company is the years of customer data and workflows inside it. Some SaaS companies are secretly data companies.

Gets me thinking about how do you truly value data for this saas companies? Like if we were buying these dying saas companies at 2x ARR before (as example), maybe there is a better metric. Idk, just thinking out loud here.

9. It feels like a good chunk of legacy software won't make it to the agentic era, especially anything built around people clicking through a lot of screens.

10. Every company I talked to wants to pipe its internal data into one place and expose it to agents through MCP. Then they look at the data and realize it's a mess: five versions of the same customer, old Slack channels, PDFs nobody can search. Cleaning that up feels like a big consulting opportunity!

11. A lot of founders are building the basic building blocks for agents: APIs, data layers and tools. Some of the companies I saw barely have a UI because the main user is an agent. I really believe the startups that build primitives to this agentic era will do extremely well. Building blocks is the best way to think about it.

12. Labs can get plenty of training data, but it's harder to get real examples of agents failing inside companies. Whoever has those logs has something valuable.

13. Someone running a big consumer company told me the next fight is over memory. The model that remembers the most about you wins, and the smartest model matters less than people think.

14. Physical AI came up a lot. Astra I think was the first model that got people into AI can actually do CAD, and I think a lot of people are thinking what does vibe manufacturing really look like. The line I keep thinking about came from a robotics founder: the hardest problems in AI are deployment problems now, not research problems. Their robots work on their own, call a human when they get stuck, and every one of those calls becomes training data.

15. Cybersecurity companies are having a moment and are actually cool companies to build now, especially the ones that clean up after a breach. Every agent with access to your systems is a new door into your company, and a lot of those doors were left open.

16. Some startups are worth more dead than alive now. A shutdown company with 5 years of Slack, email and code can get paid for licensing all of it. I wouldn't be surprised if founders start factoring that into when they shut down.

17. People are starting to talk about monetizing the agent web. It feels really early, but when the most popular user of the internet is an agent, what startups should you be building?

18. I think agent insurance is coming. Once an agent makes an expensive mistake, insurers will want audits before they cover anyone.

19. Several people said the hire they want most is someone with taste who can write evals. The models are getting good at generating ideas, so the hard part is judging which ones are good.

20. New trend I observed: startup raises VC, uses venture dollars to become a creator, startup fails, founder falls back on being a full-time creator and incubates other products bootstrapped.

21. Getting SIGNIFICANT distribution is HARD right now. Founders are sponsoring buses, buying billboards like crazy and throwing parties with famous DJs to get noticed. Kinda feels dotcom era in that sense.

Attention is what's scarce! The growth guy going viral sharing his UGC strategy from Wispr Flow is a good example. It's the sauce everyone wants, and I truly believe there are probably only 50 people on the planet who know how to scale these types of businesses efficiently in this era.

Always good to get that dose of SF. I felt sooo lucky to have such an incredible trip during such an incredible time in building businesses. Surreal in so many ways.

Happy to be home and locked in.

Until next time!