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12 movies you shouldn't miss to watch
1). Oppenheimer
1). Oppenheimer
2). The godfather
3). The Shawshank Redemption
Most lawyers research in a straight line.
They find the statute. They find the leading cases. They pull a few quotations. Then they start explaining why their facts fit.
That works sometimes. It just does not take you very far. 🧵
They find the statute. They find the leading cases. They pull a few quotations. Then they start explaining why their facts fit.
That works sometimes. It just does not take you very far. 🧵
The lawyers who do exceptional work use authority differently.
They do not treat it as a pile of answers.
They treat it as evidence. Something to test. Something to pressure. Something to compare, narrow, widen, flip, and question. (2/7)
They do not treat it as a pile of answers.
They treat it as evidence. Something to test. Something to pressure. Something to compare, narrow, widen, flip, and question. (2/7)
That shift matters because the hard part of legal analysis usually is not finding some authority.
It is figuring out what that authority is really doing, what it leaves open, and how to explain that clearly enough that a judge sees it too.
A few moves make that possible: (3/7)
It is figuring out what that authority is really doing, what it leaves open, and how to explain that clearly enough that a judge sees it too.
A few moves make that possible: (3/7)
Trump's MAGA base does not wants to trade our Constitutional Republic with its rights and freedoms and American exceptionalism for the Aleksandr Dugin propaganda that Tucker Carlson pushes.
1)
1)
He is America Last Isolationist and wants us share power with Russia and China and adopt Marxism or Communism while aligning with Islam. He often extols the virtue of sharia law.
2)
2)
Dugin's idea of Conservativism is authoritarian and predates the Enlightenment. It truly is Un-American. As we enable the Iranian people to be free from tyranny, Tucker would plunge us into tyranny and
3)
3)
We need to talk a bit about how utterly absurd the March heatwave was in the USA.
This heatwave would have been impossible without a boost from climate change, but even with climate change it remains a deeply unlikely event.
A thread looking at some of the numbers.
🧵
This heatwave would have been impossible without a boost from climate change, but even with climate change it remains a deeply unlikely event.
A thread looking at some of the numbers.
🧵
To begin, let's look at monthly mean temperature.
The March average temperature across the Western USA was about +11.6 °F (+6.4 °C) warmer than the mid-20th century average.
That's an absurd 3.6 °F (2.0 °C) higher than the previous record.
2/
The March average temperature across the Western USA was about +11.6 °F (+6.4 °C) warmer than the mid-20th century average.
That's an absurd 3.6 °F (2.0 °C) higher than the previous record.
2/
Since the mid-20th century, the March average temperatures in the Western USA have warmed ~4 °F (2.2 °C).
Without that boost provided by global warming, a March heatwave this severe likely would have been impossible.
3/
Without that boost provided by global warming, a March heatwave this severe likely would have been impossible.
3/
+JMJ+ Welcome to the Holy Rosary thread in honor of Friday within the Octave of Easter. I’ll pin this post on my profile page, thread will be attached. +JMJ+
#CatholicTwitter #CatholicX #RosaryProject
#CatholicTwitter #CatholicX #RosaryProject
Instead of posting each prayer separately, I’m going to link to the page on my blog that has all the opening prayers, and the page that has all of the closing prayers. As always, they are optional. Use the ones you are drawn to.
I’ll post each Mystery as usual.
I’ll post each Mystery as usual.
🔥 Day 1508 of Russia’s war against Ukraine, the pressure is everywhere.
🧵 1/12
🧵 1/12
🔥Ukraine hits the strategic Volgograd–Tikhoretsk oil pipeline
A vital artery that pumps oil directly to Novorossiysk for export. This strategic strike targets russia’s key export infrastructure, significantly disrupting the flow of diesel & aviation fuel to southern ports
2/12
A vital artery that pumps oil directly to Novorossiysk for export. This strategic strike targets russia’s key export infrastructure, significantly disrupting the flow of diesel & aviation fuel to southern ports
2/12
🔥 Ukrainian strikes hit Tinguta pumping station and Volgograd–Tikhoretsk pipeline
Four fuel tanks damaged at Tinguta, cutting throughput & creating export bottlenecks to Novorossiysk. Pipeline fire visible from 25 km — a major blow to russia’s southern energy logistics.
3/12
Four fuel tanks damaged at Tinguta, cutting throughput & creating export bottlenecks to Novorossiysk. Pipeline fire visible from 25 km — a major blow to russia’s southern energy logistics.
3/12
I have spent my entire career reporting on sexual misconduct by politicians. The barrier to publication anywhere with good lawyers is very, very high. Getting women to speak and share personal records and acquire corroboration from friends and colleagues is extremely difficult.
These stories don’t come out at politically convenient times, and they’re hard to report *because* victims often worry about the damage they might cause others with their honesty.
I am a fully nonpartisan investigative reporter but I understand that I live in a hyper-partisan world in which only one side bothers to even appear to hold abusers to account, and I know that makes me unpopular.
Bank of America asked me to give a presentation to hedge fund managers on AI and oil and gas today.
Here's the full presentation.
Here's the full presentation.
Oil and gas has a bimodal distribution of age in the workforce.
There's a big gap between boomers and millennials. Gen X didn't get into the industry because of the 1980s downturn.
Decades of tribal knowledge is leaving the industry.
There's a big gap between boomers and millennials. Gen X didn't get into the industry because of the 1980s downturn.
Decades of tribal knowledge is leaving the industry.
It also resulted in the industry running on legacy software that was developed in the 90s and early 2000s.
Some large companies run on mainframes that are written in COBOL.
And 90% of the data is in unstructured documents like PDFs and CSVs.
Some large companies run on mainframes that are written in COBOL.
And 90% of the data is in unstructured documents like PDFs and CSVs.
As to the Swalwell report:
1. The truth should be worked out via legal process.
2. Dems can't have anyone facing such allegations as a candidate.
3. MAGAs wouldn't care about this; that's immaterial.
4. Politics is informing how some folks are responding; that's also immaterial.
1. The truth should be worked out via legal process.
2. Dems can't have anyone facing such allegations as a candidate.
3. MAGAs wouldn't care about this; that's immaterial.
4. Politics is informing how some folks are responding; that's also immaterial.
That is, it's possible to think in terms of three distinct spheres—legal, political, moral—at once. Legally, there's nothing to say till all this is resolved in court. Politically, we know that, true or false, allegations affect who's viable. Morally, MAGAs are hypocritical scum.
Who we believe is legally immaterial; it's posturing. We don't have all the facts. I'd say the same of any politician posturing morally now; don't confuse your cynical politics with morality.
But yes—Trump should have exited the race when he faced his *67* different allegations.
But yes—Trump should have exited the race when he faced his *67* different allegations.
1 a thread
X is a wild frontier.
Someone yelled “There’s gold up in them X posts!”
The rush was on.
Grifters, trolls, and like-farmers swooped in like prospectors with dynamite.
Strip mining engagement became the whole game. 🔥
X is a wild frontier.
Someone yelled “There’s gold up in them X posts!”
The rush was on.
Grifters, trolls, and like-farmers swooped in like prospectors with dynamite.
Strip mining engagement became the whole game. 🔥
2
Algorithms love heat, not truth.
Outrage, rage-bait, recycled memes, reply-guy wars — it’s efficient, scalable, and often soulless.
Everyone’s panning for dopamine while real signal gets buried in the silt.
The platform made it too easy.
Algorithms love heat, not truth.
Outrage, rage-bait, recycled memes, reply-guy wars — it’s efficient, scalable, and often soulless.
Everyone’s panning for dopamine while real signal gets buried in the silt.
The platform made it too easy.
3
Then come the Judases.
Folks who built audiences on principles and straight talk… suddenly flexible when the bag, the blue-check perks, or foreign influence ops get waved around.
One day railing against the machine. Next week shilling for it.
Honor has a price on the frontier.
Then come the Judases.
Folks who built audiences on principles and straight talk… suddenly flexible when the bag, the blue-check perks, or foreign influence ops get waved around.
One day railing against the machine. Next week shilling for it.
Honor has a price on the frontier.
This is HUGE.
The "Big Data" bottleneck in Quantum just vanished. 🧵
New research from @Caltech proves an exponential quantum advantage in processing massive classical data.
A small, polylogarithmic quantum computer can now handle large-scale classification and dimension reduction that would normally require exponentially larger classical systems.
CC: @haimengzhao
The "Big Data" bottleneck in Quantum just vanished. 🧵
New research from @Caltech proves an exponential quantum advantage in processing massive classical data.
A small, polylogarithmic quantum computer can now handle large-scale classification and dimension reduction that would normally require exponentially larger classical systems.
CC: @haimengzhao
This is the bridge to near-term utility. It proves we don't need massive, fault-tolerant machines to tackle the world's largest datasets, bringing practical, scalable quantum advantages to machine learning and data science much sooner than expected.
The paper describes how quantum-enhanced algorithms can provide predictions about a large system by observing only a small, random subset of "shadows."
This makes quantum computing an essential tool for Real-time Big Data Analytics (e.g., fraud detection, genomic's pattern recognition, and high-frequency trading).
This makes quantum computing an essential tool for Real-time Big Data Analytics (e.g., fraud detection, genomic's pattern recognition, and high-frequency trading).
new yt vid live
how to build your first AI agent for marketing
you'll learn
Here's what you'll learn from the video:
How to build your first AI marketing agent that functions like a virtual employee you can delegate tasks to
How to connect an agent to live business data (Google Search Console, Ahrefs, your CMS) so it makes decisions based on what actually drives revenue
How to teach an agent a process step-by-step, the same way you'd onboard a human employee
How to turn that taught process into a reusable skill the agent remembers
How to run an automated keyword research workflow: pulling GSC + Ahrefs data, filtering by search intent, and rank-stacking opportunities
How to check your CMS (via the Strapi API) to avoid writing about keywords you've already covered
How to research what's currently ranking on page one using the Serper API, then extract that content with the Exa AI API to inform your draft
How to layer in your own point of view (e.g., via a transcript) so posts blend SERP research with original perspective
How to auto-publish finished posts back to your site through the Strapi API
How to convert a one-off task into a recurring daily cron job the agent runs on its own
Other marketing workflows you can hand off to agents: Facebook ads management (auto-pausing high CPM ads), Google Search Ads optimization toward a conversion event, social media scheduling and performance analysis, and full cold outbound (Apollo for emails, validation, Instantly for sending, reply handling)
Why tying agents to a unified data pipeline and warehouse avoids the common failure modes of earlier agents: API rate limits, MCP failures, truncation, and context window bloat
Why persistent memory + accurate live data is what makes this generation of agents actually capable of good decision-making
watch full vid below
how to build your first AI agent for marketing
you'll learn
Here's what you'll learn from the video:
How to build your first AI marketing agent that functions like a virtual employee you can delegate tasks to
How to connect an agent to live business data (Google Search Console, Ahrefs, your CMS) so it makes decisions based on what actually drives revenue
How to teach an agent a process step-by-step, the same way you'd onboard a human employee
How to turn that taught process into a reusable skill the agent remembers
How to run an automated keyword research workflow: pulling GSC + Ahrefs data, filtering by search intent, and rank-stacking opportunities
How to check your CMS (via the Strapi API) to avoid writing about keywords you've already covered
How to research what's currently ranking on page one using the Serper API, then extract that content with the Exa AI API to inform your draft
How to layer in your own point of view (e.g., via a transcript) so posts blend SERP research with original perspective
How to auto-publish finished posts back to your site through the Strapi API
How to convert a one-off task into a recurring daily cron job the agent runs on its own
Other marketing workflows you can hand off to agents: Facebook ads management (auto-pausing high CPM ads), Google Search Ads optimization toward a conversion event, social media scheduling and performance analysis, and full cold outbound (Apollo for emails, validation, Instantly for sending, reply handling)
Why tying agents to a unified data pipeline and warehouse avoids the common failure modes of earlier agents: API rate limits, MCP failures, truncation, and context window bloat
Why persistent memory + accurate live data is what makes this generation of agents actually capable of good decision-making
watch full vid below
oh and sub to my channel or I'll get greedy and keep these for myself -
stop DMing me you want this get it here - tally.so/r/q4OxN9
