Ray @_ray_tor

The difference between Elon and this reporter: Elon builds things millions of people use, love and benefit from All this reporter produces is fake news: selective facts, dishonest framing and propaganda disguised as journalism Just listen to her shouting throughout the interview. It looks less like journalism and more like watching a leftist protester being asked, “Which rights are you protesting for?”......only to reply, “Am I supposed to know that?” One creates real value. The other manufactures fake outrage Trust in legacy media has hit an all-time low. No wonder nobody trusts them anymore 𝕏 is where truth wears the crown 👑 x.com/ImMeme0/status…

this is a great study

Nigel @StratLaboratory

2 days ago

The playbook is simple: Avoid buying +3σ extensions. Add them to a Repeat Offender watchlist. Buy on the pullback or the next +2σ repeat trigger. Hold when the structure confirms.

1 4 41 23K 87

As long as we hold last Friday and 6/9 lows on the $QQQ, we are just dropping a big potential flat base.

@lifewitsonduren Ask the guy to use his sword to pick it up ….. . Disgusting

SMH weekly div = perfect reversion to the mean. AMD, MU held well above.

How will you know when the market is ready to buy again? Growth stocks will breakout together from organized bases like this post from April 9.

@

57 years ago

0 0 0 0 0

Historically, midterm years have bottomed around this time before giving way to a much stronger second half.

@realmaxgenest This is why exactly the gov should not allow anyone to carry a weapon around .

Kimi K3 may be an important inflection point for AI. Potentially negative for Anthropic and OpenAI while being net positive for essentially every other company in the world. I mean that very literally. Although the real “Sputnik moment” would be an open-source frontier model that was also token efficient unlike Kimi K3 which is 50-70% more expensive to run than GPT 5.6 per Artificial Analysis. Rationale:   A world where there are only 2-3 dominant frontier labs with 90% inference margins is net negative for every other layer while being awesome for those 2-3 labs. Those labs would become monopsonies for power, data centers, semiconductors and hyperscalers and would obviously vertically integrate over time into all those layers while also completely subsuming the application/software layers.    Anything that lowers margins and increases competition at the model layer is good for every other AI layer: power, semiconductors, hyperscalers, neoclouds and yes even software.   This is why Jensen is so supportive of open-source. An open-source model requires the *exact* same amount of compute to run as a closed frontier model of similar size and architecture. Kimi K3 is roughly the same price as GPT 5.6 Terra on a per token basis, which actually suggests that it is less computationally efficient as I am sure that GPT 5.6 is priced to a higher margin than K3. And given that K3 is a token wastrel, i.e. token inefficient, it is significantly more expensive per task than GPT 5.6 and Grok 4.5, which are much more token efficient. Cost per token and token efficiency (i.e. intelligence density per token) are the drivers of intelligence per unit of cost. The winning AI companies will be those that offer the most intelligence per $ over time.   Lower margin % at the model layer = more margin $ at every part of the infrastructure layer and is a godsend for software. This can happen either through open-source models like K3 at the frontier *or* having a vertically integrated model company like Meta, SpaceX or Google at the frontier. Both outcomes result in a lower margin % at the model layer as vertically integrated model companies don’t really care where the margin $ come from. This is why it was so painful for OpenAI and Anthropic when Google was right there with them from a model competitiveness perspective and why Grok 4.5 and Muse 1.1 were just as important as Kimi K3. 
The reason Kimi K3 is only *potentially* negative for Anthropic and OpenAI is 1) the @ericvishria point that the Claude and ChatGPT products and harnesses may be more important than their models today and 2) the hypothesis that they have much more advanced model checkpoints internally that are already being used for RSI. In the latter scenario, reaching RSI even a few months ahead of other labs might be enough to cement a permanent lead. Time will tell on both points. And likely fairly quickly. Caveat would be that since Kimi K3 is not token efficient and thereby actually more expensive than ChatGPT 5.6, we may need to see a more token efficient open-source model at the frontier or see Grok 5/Composer 4/Muse 2 at multiple points on the Pareto frontier for this potential risk to Anthropic and OpenAI to play out. And I am sure they will both vertically integrate as quickly as possible while continuing the product/harness strength they have shown over the last 8 months.

keyboard_arrow_left Previous keyboard_arrow_right Next

@DwightSinghS This is her home. Her people made it this way. Import them, and they will do the same to yours.

The illegal trucking situation in this country is shocking. For example Harinder Singh Saini just had his charges dropped after being caught carrying 120 kg of cocaine into Canada, and Rajwinder Singh, a Punjabi asylum seeker, went through a red light and killed a young woman in Caledon. Earlier this year, he was given only a 55-day jail sentence and a $1,000 fine. He’s already been released. Or Brijpal Panwar, who killed someone in Manitoba by blowing through a stop-sign, whose company was banned in Manitoba for failing safety inspections, but successfully registered in Alberta instead. Would someone enforce the law here?

Rebel News @RebelNewsOnline

a week ago

Demand Equal Treatment. Demand a Vote. Welcome to Caledon, Ont., the epicentre for a dangerous trucking problem that continues to spiral out of control. And it’s a problem that shows no signs of ebbing thanks to a complete lack of political will at every government level when it

8 82 236 39K 18

@CapatanEl4662 So tired of these

Many stopped going because of this.

@nationalpost liberal judge???

New Yorker is warning everyone: STAY AWAY from 1.50¢ Delicious Pizza. A man just recorded disgusting unsanitary conditions, filthy floors caked in dirt… and a worker shoving his BARE, dirty FOOT right on top of the bowl where they mix the dough! 🤮🍕 This privately owned chain has 10-12 locations across Manhattan serving up those cheap slices. Your $1.50 pizza might come with mystery “toppings.” Don’t risk it. Share this before someone else gets sick!

As Charlie Munger says, the three Ls that kill men: 1. Liquor 2. Ladies 3. Leverage Koreans love leverage.

Polymarket @Polymarket

2 weeks ago

BREAKING: South Korean stock YouTuber reportedly stabbed by a viewer who lost money after following his investment advice.

284 741 8K 1.6M 599

@shineypony1958 @nationalpost The only mistake is “a” singular form

@johnrum211 @MichelleLA1981 My observation is Only ppl with no asset , no job , renter , Indians or lgbtq group support her

@KirkLubimov @DesertSandbox I wonder the same thing. …. who elected her …and let her ruined the city . Toronto was never this bad