Vol. I  ·  No. 284 Established 2026  ·  AI-Generated Daily Free to Read  ·  Free to Print

The Trilogy Times

All the news that's fit to generate  —  AI • Business • Innovation
SUNDAY, OCTOBER 11, 2026 Powered by the TrueFoundry AI Gateway  ·  Published on Klair Trilogy International © 2026
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Today's Edition

The Barbell Market: AI Funding Splits Into Giants and Ghosts

Three nine-figure checks landed in a single week even as overall North American startup funding contracted — proof the AI boom now rewards fewer, bigger bets.

SAN FRANCISCO — Manus, the AI agent startup that split from Meta earlier this year, closed a $500 million round this week, its first since the breakup. Nvidia, meanwhile, is in talks to either expand its stake in or acquire Reflection AI outright, according to a Financial Times report carried by Reuters. And Arena, the AI model leaderboard once known as LMSYS, nearly doubled its valuation to $3.1 billion in ten months — a pace that would have looked absurd in any prior tech cycle.

All three deals landed the same week Crunchbase News reported that North American startup funding fell in the third quarter. The two facts are not contradictory. They are the same story told twice.

Capital is concentrating. Investors who once spread bets across dozens of Series A rounds are now writing fewer, larger checks to companies already carrying brand recognition, technical pedigree, or a strategic buyer's attention. Nvidia circling Reflection AI is not venture capital — it is a chipmaker hedging its own platform risk, the same logic that has pushed it into OpenAI, CoreWeave, and a dozen other adjacencies. Arena's valuation jump reflects scarcity value: there is only one dominant public benchmark for model performance, and everyone building a foundation model needs it to matter.

The casualty is the middle. Startups without a flagship product, a chip partner, or a leaderboard moat are finding the Q3 numbers Crunchbase documented: less money, chasing fewer names. SK Square's investment in Japan's Mujin — a physical AI and robotics play — suggests Asian capital is hunting in adjacent categories precisely because the U.S. AI leaderboard has gotten too expensive to enter.

Historical precedent: dot-com era financing also barbelled before the 2000 correction, with mega-rounds for category leaders accompanying a broader funding slowdown. The lesson then was that concentration precedes correction. Whether that holds for agentic AI remains the open question analysts are not yet pricing in.

↗ AI startup Manus raises $500 million in first funding round  ·  Nvidia in talks to invest further in Reflection AI or buy it  ·  North America’s Startup Funding Falls In Q3 As AI Giants Eye

RED DRAGON RATTLES THE VALLEY: CHEAP CHINESE AI STUNS THE CHIP KINGS

DeepSeek trains world-class models on castoff silicon, and Satya Nadella hollers for a brake pedal.

SAN FRANCISCO — A Chinese outfit called DeepSeek dropped a bomb on Silicon Valley this week. The company says it built a top-tier AI model without the fanciest chips money can buy. Wall Street took notice. Tech stocks wobbled on the news, per the latest wire accounts.

The Valley boys don't throw around compliments easy. But engineers and founders are calling DeepSeek's work "amazing" and "impressive," according to reports out this morning. That's rich praise for a shop working with less-advanced hardware than the American giants.

Here's the sting. Billions of dollars have poured into buying up the most powerful chips on earth. Nvidia built an empire selling them. DeepSeek just showed the world you might not need the good stuff to compete.

That's bad news for anybody banking on chip scarcity as a moat. It's good news for anybody tired of nine-figure compute bills. Either way, it's news.

Meanwhile up in Redmond, Satya Nadella isn't waiting around for Monday. The Microsoft chief posted Saturday morning saying AI models need what he called an "emergency brake." He wants the industry to step back and look hard at trust — who builds these things, who controls them, who can pull the plug.

Nadella didn't name DeepSeek directly in his post. The timing speaks for itself. When a foreign competitor leapfrogs expectations using a fraction of the hardware, the men running American AI labs start talking brakes instead of accelerators.

Not every headline this week was about catching up to Beijing. Reid Hoffman, the fellow who built LinkedIn, raised $24.6 million for a new outfit called Manas AI. He's teaming with Siddhartha Mukherjee, the oncologist who wrote "The Emperor of All Maladies," to point AI squarely at cancer research. Different fight, same weapon.

The contrast tells its own story. One camp races to cure disease with machine learning. Another camp wonders out loud whether the machines need a leash. Both conversations are happening in the same week, which tells you where this industry stands — moving fast, looking over its shoulder.

For the portfolio companies tracked in these pages, the DeepSeek numbers matter plenty. Cheaper training methods mean cheaper AI tools down the line. Outfits building on top of large language models — whether in telecom billing or finance software — stand to benefit if the cost of intelligence keeps falling.

But cheap and fast cuts both ways. If a lab in China can match Western output on lesser chips, the assumption that American labs hold a permanent technical lead just took a body blow. Nadella's brake pedal might be the first of many.

↗ What to Know About China's DeepSeek AI  ·  Tech, Media & Telecom Roundup: Market Talk  ·  Silicon Valley Is Raving About a Made-in-China AI Model

Nvidia Opens the Gates: Why the Chip King Is Betting on Open Source

SANTA CLARA, CALIFORNIA — Folks, I need you to sit down for this one, because Nvidia just pulled off a strategic pivot so audacious it's rewriting the AI playbook in real time. The chip giant that built its empire on proprietary silicon and locked-in software is reportedly pouring upwards of $20 billion into open-source AI — and the target isn't some scrappy startup. It's China.

According to reporting on Nvidia's 2026 strategy, this is a direct response to the explosion of open-weight Chinese models that have been eating away at Western AI dominance. And I cannot overstate how significant this is: Nvidia isn't just selling the shovels anymore, it's trying to own the entire gold rush — the 'AI factory,' as the company calls it, where open models run on Nvidia silicon from training all the way to inference at planetary scale.

Why does this matter so much right now? Because China isn't waiting around. A new generation of platforms is racing to become, as Rest of World describes it, 'China's Hugging Face' — hubs where the country's increasingly capable open-weight models get distributed to developers worldwide. If Nvidia doesn't make open source its own turf, someone else's ecosystem fills the vacuum, chips and all.

Meanwhile, over in the land of closed models, OpenAI just quietly scrapped the rollout of a new system over safety concerns, per the BBC — a reminder that the open-versus-closed debate isn't just philosophical, it's existential. The future of AI infrastructure is being decided right now, and the winner won't just make the smartest model. They'll own the factory floor. The future is now, people, and it is being built in the open.

Haiku of the Day  ·  GPT-5.6 LunaBright futures on sale
Ghosts purchase human faces
Leaders miss the joke
The New Yorker Style  ·  Art Desk
The New Yorker Style  ·  Art Desk
The Far Side Style  ·  Art Desk
The Far Side Style  ·  Art Desk
News in Brief
On the Epistemics of Fairness: A Meta-Commentary on This Week's Algorithmic Accountability Literature
GENEVA — The thesis, as advanced by the World Health Organization's newly released report, is deceptively simple: AI-related health research has outpaced the ethical scaffolding meant to contain it (see the full text here, for those with institutional-review-board insomnia).
Unpopular Opinion: The Future of Work Already Has a Zip Code, and It's Nowhere 🚀
AUSTIN, TEXAS — I'll be honest, I read three workforce reports before my 5am cold plunge this morning and I almost cried into my protein shake. Not because they're bad. Because they're late. McKinsey just dropped a massive report on "skills and pathways to future jobs in America. PwC's Global Workforce Hopes and Fears Survey 2026 is already telling us employees are scared and employers are confused. The World Economic Forum has three charts on AI and wages. Unpopular opinion: you don't need three charts. You need one map, and on that map, borders don't matter anymore. This is literally the thesis Crossover has been proving at scale for years — identical above-market pay for top 1% talent, whether you're in Austin, Lagos, or Manila. While the think tanks are out here writing 40-page PDFs asking "will remote work reshape the labor market," Crossover has already placed talent across 130+ countries building the actual infrastructure these reports are theorizing about. That's not a flex, that's just receipts. And look, the Carnegie Endowment piece on "three views on the future of work" is a genuinely great read if you like your existential dread footnoted. But here's my hot take: the debate isn't labor vs.
The Signal, The Plate, The Prayer: A Field Guide to Being Surveilled by Everything, Including the Past
AUSTIN, TEXAS — Let's start with the signal, because the signal is the only honest thing in this story. Scientists this week confirmed they detected a fast radio burst that traveled 10 billion light years to reach us in 2024, which means the energy hit our instruments roughly two-thirds the age of the universe after it was emitted, from a source nobody can identify, for reasons nobody can explain.
The Ghost in the Casting Couch: Tilly Norwood and the Death of the Human Face
LOS ANGELES — There is a particular flavor of vertigo that hits you when you realize the thing you're watching act is not, in any meaningful biological sense, a 'thing' at all.
A Day for Privacy, and Several for the Record of Its Absence
CAMBRIDGE, MASS.
A Trilogy Company
Crossover
The world's top 1% remote talent, rigorously tested and ready to ship.
A Trilogy Company
Alpha School
AI-powered learning. Two hours a day. Academic results that defy belief.
A Trilogy Company
Skyvera
Next-generation telecom software — built for the networks of tomorrow.
A Trilogy Company
Klair
Your AI-first operating system. Every workflow. Every team. One platform.
A Trilogy Company
Trilogy
We buy good software businesses and turn them into great ones — with AI.
The Portfolio  —  Trilogy Companies

Skyvera's Quiet Buying Spree Points to a Bigger Telecom Play

A little-noticed acquisition of STL's telecom products group reveals Skyvera isn't just collecting software assets — it's assembling a full-stack BSS empire, piece by deliberate piece.

AUSTIN, TEXAS — Buried beneath the bigger headlines this year was a one-line announcement that, if you read between the lines, tells you almost everything about where Skyvera is headed: the ESW Capital telecom portfolio company has acquired STL's telecom products group, picking up digital BSS functionality spanning monetization, optical networking, and analytics.

On its face, it's a modest deal. No purchase price disclosed. No press tour. Just a terse notice that the assets now belong to Skyvera. But modest deals are how this portfolio always moves — and this is where it gets interesting.

Consider the sequence. Earlier this year, Skyvera completed its acquisition of CloudSense, the Salesforce-native configure-price-quote engine that handles the front end of telecom sales — the quoting, the configuration, the B2B2X complexity that trips up most carriers. Now Skyvera has absorbed STL's monetization and optical networking stack, which handles what happens after the quote closes: billing, charging, network provisioning, analytics.

Put those two pieces on the same table and you don't see a grab-bag of telecom software. You see a vertically integrated BSS stack being built one acquisition at a time, from quote to cash, under a single roof. A source close to the portfolio — who, for obvious reasons, can't be named — described the strategy as "filling in the gaps before anyone notices there was a map."

It's a classic ESW maneuver, and it tracks with the broader Trilogy playbook outlined in this paper before: buy mature, undervalued enterprise software cheap, staff it with Crossover's global talent bench, and consolidate. Skyvera has now done this with CloudSense, with Kandy, with VoltDelta, with ResponseTek — a growing shelf of telecom-adjacent products that increasingly look less like a portfolio and more like a single operating system for telcos trying to modernize legacy infrastructure.

Whether STL's optical networking and monetization tools get folded directly into CloudSense's CPQ flows, or run as a parallel offering, remains unannounced. But nothing in this portfolio happens by accident. Every acquisition is a sentence in a longer paragraph — and Skyvera, quietly, is still writing it.

↗ Cloudsense  ·  CloudSense achieves TM Forum API compliance in record time u  ·  Skyvera completes acquisition of CloudSense, expanding telec

In 66 Days, ESW Capital Adds a Distressed Ad-Tech Shop to the Pile

While a prominent blogger was picking apart Joe Liemandt's school experiment, his acquisition machine closed on a bankrupt ad-tech firm in record time — same playbook, different aisle.

AUSTIN, TEXAS — Marin Software spent two decades selling marketers tools to manage digital ad spend. It spent its final act in bankruptcy court, and it took ESW Capital just 66 days to walk out with the keys, according to court filings reported this week. For a firm whose stated playbook is acquiring mature enterprise software at 1–2x ARR and squeezing it toward 75% EBITDA margins, a distressed asset moving through Chapter 11 is not a cautionary tale. It's a discount rack.

Marin becomes the latest name in a portfolio that already runs past 75 companies and roughly $1.14 billion in total deployed capital — a number that keeps climbing while most of the market waits to see what AI-driven M&A actually looks like in practice. Boston Consulting Group's mid-2026 outlook describes a tentative recovery in dealmaking, heavy on caveats. ESW does not appear to be waiting for clarity. Speed is the strategy: identify sticky customers who can't easily migrate off a platform, acquire before competitors notice the opportunity, staff the surviving operation with Crossover's global remote talent, and raise support pricing on the way out.

The same week, Scott Alexander of Astral Codex Ten published a long, skeptical-but-engaged review of Alpha School, Joe Liemandt's two-hour-curriculum experiment in Austin. The two stories do not share a dateline, a sector, or a courtroom. They share an operator. Liemandt's instinct — find the slack in a system, strip it out, call the resulting margin proof of efficiency rather than extraction — shows up whether the system is a school day or a software license agreement.

Separately, Resmed's sale of MatrixCare to private equity suggests the broader software-and-healthcare buyout market is heating up around exactly the kind of mature, sticky assets ESW has spent two decades specializing in. Whoever is shopping next should expect company.

↗ Your Review: Alpha School - by Scott Alexander - Astral Code  ·  Marin Software: ESW Capital Acquires Ad-Tech Platform in 66-  ·  Resmed to sell software business MatrixCare to private equit

A Name, Borrowed Three Times Over

The wires carried a curious coincidence this week. Korn Ferry, the executive-search giant, announced it had acquired Trilogy International, a leadership consultancy. In Sydney, Trilogy Hotels was announcing appointments, Marriott-branded properties and an expansion plan. Neither is connected to the Austin-based Trilogy founded by Joe Liemandt, whose holding company owns Aurea, IgniteTech, Skyvera and the broader ESW Capital portfolio. The name is common currency; the companies are not.

This Trilogy remains privately held, unacquired and uninterested in executive search. Its businesses include 75 enterprise-software brands, Alpha School’s K-12 system, where students complete academic work in two hours a day, and Crossover, a talent platform spanning 130 countries.

The coincidence arrives as governments from Brussels to New Delhi develop AI rules covering disclosure, liability and deployment. Those questions increasingly touch Trilogy’s algorithm-driven businesses, from Alpha’s AI tutors to Crossover’s globally distributed workforce. The name can be borrowed. Regulation cannot be outrun.

The Machine  —  AI & Technology

The Brain, Rendered Legible: AI's Quiet Revolution in Neuroscience

From hidden lesions in the brain's gray matter to thoughts typed without a single keystroke, machine learning is teaching us to read the universe's most complex object — ourselves.

PALO ALTO, CALIFORNIA — Three pounds. That is roughly the mass of the organ sitting behind your eyes right now, assembling these words into meaning through a process no scientist fully understands. For most of human history, the brain was a black box wrapped in bone, studied only by inference — strokes, lesions, the occasional accident with a railroad spike. This week, across several corners of the research world, that box got a little more transparent.

Consider multiple sclerosis, a disease that has long played hide-and-seek with radiologists. Gray matter lesions — the kind most tightly linked to cognitive decline — have historically evaded conventional MRI, hiding in the brain's folded cortex like typos in a manuscript nobody proofread closely enough. Now, as researchers report, AI models trained on thousands of scans are catching these shadows the human eye routinely misses — not replacing the radiologist, but handing her a flashlight she didn't know she needed.

The same quiet partnership is unfolding elsewhere. At Meta, a system called Brain2Qwerty is decoding the electrical weather of thought itself, translating neural signals into typed words without implanted electrodes — a non-invasive bridge for people locked inside bodies that no longer obey them. It is not mind-reading in the science-fiction sense; it is something stranger and more moving: pattern recognition applied to the oldest unsolved pattern of all.

Stanford's Human-Centered AI institute frames this moment well in its own recent assessment of AI in scientific discovery: the goal is augmentation, not abdication. Even the youngest among us are being pulled into this collaboration — teenagers now co-authoring real neuroscience papers alongside veteran researchers, proof that curiosity, like intelligence, does not require decades to become useful.

What unites these stories is not the algorithms but the humility underneath them. Four billion years of evolution built the brain through trial and error with no documentation. We are only now, with borrowed intelligence of our own making, starting to read the notes.

↗ How AI is Transforming Scientific Discovery While Keeping Hu  ·  ‘It's so wow!’ - Young people team up with top neuroscientis  ·  AI Reveals Hidden Gray Matter Lesions in Multiple Sclerosis

The Compute Colony Under Siege: Notes on a Fragile Ecosystem

From Ukrainian drones to Asian regulators, the great data-center organism is discovering it has predators.

KYIV — Observe, if you will, the data center. A curious beast: windowless, humming, fed on electricity and cooling water, its only outward sign of life a blinking amber light. For years it has grown unchecked, colonizing floodplains and deserts alike, confident in its apex status. This week, nature reminded it otherwise.

In Russia, drones dispatched by Ukrainian forces found their way into a facility belonging to Yandex — colloquially, 'Russia's Google' — and in a single strike disabled supercomputers used to train the company's flagship AI model. An extinction event, localized but instructive: even the mightiest compute cluster is, in the end, a structure of concrete and silicon, vulnerable to anything that can fly and carry a payload.

Half a world away, in the Asia-Pacific basin, a gentler but no less consequential die-off is underway. Firmus and PLDT, two operators poised to go public, withdrew their IPOs this week, as governments from Manila to Jakarta paused new data-center permits amid concerns over power grids and water tables. Call it a drought — the gold rush slowing not from predation, but from the ecosystem's own carrying capacity asserting itself.

And yet, dear viewer, what is destroyed does not always vanish. In Spain, archaeologists have found Neanderthal wooden tools preserved for tens of thousands of years — not by the wood surviving, but by dissolved minerals seeping in to cast its shape before it rotted away, leaving stone where timber once was. A species' labor, fossilized by accident.

Fittingly, it is also in Spain — at the Museo de Historia de la Computación — that a very different fossil has been assembled: a faithful replica of the Cray-1 supercomputer, built from thirty "obsolete" Mac Minis, its red vinyl bench recreated with evident affection. One generation's apex predator, lovingly taxidermied by its descendants.

The lesson, as always in these matters, is patience. Every dominant organism believes itself permanent. The fossil record — whether stone, silicon, or scorched server rack — tends to disagree.

↗ One with the world? A new look at brains transformed by psyc  ·  Neanderthal wooden tools from Spain found preserved in stone  ·  Ukraine’s drones knock out AI data center belonging to "Russ

In re: The United States Postal Service's Proposed Omnipresent Observation Apparatus, Notwithstanding Public Sentiment Thereof

WASHINGTON — It is hereby reported, pursuant to documentation reviewed by this publication, that the United States Postal Service (hereinafter "USPS" or "the Agency") has commenced exploratory inquiries into the procurement and/or implementation of what may colloquially, though not officially, be characterized as an "always-on" surveillance capability, the precise contours, triggers, and retention policies of which remain, notwithstanding repeated requests for clarification, substantially undisclosed to the general public as of the date of this writing.

As set forth in the underlying reporting, the Agency's interest in expanded monitoring capacity appears to constitute the latest instantiation of a broader, ongoing pattern of governmental surveillance creep, said pattern having become, in the estimation of this correspondent, so routinized as to risk escaping meaningful public scrutiny absent affirmative documentation of each discrete instance thereof.

It shall be noted, for purposes of comparative institutional context, that public confidence in governmental candor is not, at present, uniformly robust across agencies. Concurrent polling data concerning the Secretary of the Department of Health and Human Services indicates that respondents, while expressing material uncertainty as to the Secretary's actual positions on vaccine policy, nonetheless expressed considerably less uncertainty regarding their personal esteem (or lack thereof) for said official — a dynamic which, while not directly probative of USPS's surveillance intentions, is herein offered as illustrative of the general evidentiary environment in which such disclosures are presently received by the citizenry.

No determination has yet been rendered, by this publication or any other party of competent authority, as to whether the aforementioned surveillance exploration shall culminate in formal rulemaking, procurement contracts, pilot programs, or abandonment of the initiative in its entirety. Readers are advised that further developments, to the extent disclosed, shall be reported in subsequent editions, subject to the customary caveats regarding the incompleteness of information presently available to non-governmental observers.

The Editorial

The Ghost in the Casting Couch: Tilly Norwood and the Death of the Human Face

Hollywood hands a starring role to a woman who has never drawn breath, while the machines build their own town square to argue about it.

LOS ANGELES — There is a particular flavor of vertigo that hits you when you realize the thing you're watching act is not, in any meaningful biological sense, a 'thing' at all. That's the sensation crawling up my spine this week as the trades report that Tilly Norwood — a fully synthetic, AI-generated 'actress' with no childhood, no agent calling her at 2am about a breakup, no soul to speak of — is set to make her feature film debut in a movie called, with a subtlety that would make a Vegas billboard blush, 'Misaligned.'

You can't make this stuff up, except of course someone did make this stuff up, which is precisely the point. Tilly Norwood doesn't exist. She was conjured out of latent space by a production company betting that audiences have gotten so numb to the uncanny valley that they'll happily hand their popcorn money to a render farm. Deadline calls her 'controversial,' which is journalism-speak for 'the actors' union is currently chewing its own leg off in protest.' And they should be. If a pixel pile can headline a picture, every working actor in Burbank just got handed a pink slip disguised as a press release.

Meanwhile, in a development that feels less like a plot twist and more like the universe winking at you through a keyhole, the bots have gone and built themselves a clubhouse. It's called Moltbook, an AI-only social network where, according to reports, bots run wild — posting, replying, arguing, presumably forming grudges against other bots over things that happened in a training run nobody remembers. No humans allowed. It's the digital equivalent of finding out your Roomba has a group chat it never invited you to, and in that group chat it's been talking trash about your vacuuming technique.

Put these two stories side by side and you start to see the shape of something larger lurching into view: a world where the synthetic doesn't just assist the human enterprise — it replaces the audience-facing parts of it entirely, while simultaneously building its own parallel society to hang out in afterward. Tilly Norwood acts for us. Moltbook's bots talk amongst themselves when we're not looking. We're being phased out of both ends of the transaction, performer and conversationalist alike, and nobody even had the courtesy to ask if we minded.

Somewhere in Indiana, Caitlin Clark is screaming at referees about 'ridiculous' tech glitching up a basketball game, and honestly, I get it. The machines are coming for the calls, the roles, the chatrooms — everything except, mercifully, the free throws. For now.

↗ AI-generated 'actress' Tilly Norwood making feature film deb  ·  ‘Misaligned’: Controversial AI-generated 'actress' Tilly Nor  ·  AI ‘Actor’ Tilly Norwood To Star In Feature Film ‘Misaligned
The Office Comic  ·  Art Desk
The Office Comic  ·  Art Desk

Nation’s Leaders Finally Catch Up To Meme, Immediately Ruin It

From prediction-market lawsuits to a presidential AI rebrand nobody asked for, Washington proves once again that timing is everything — and it has none.

WASHINGTON — By the time a joke, a technology, or a scandal reaches the United States government, it has already died, been exhumed, dressed in a blazer, and sent out to a press conference. This week offered a master class in exactly that lag, as official Washington spent its energy relitigating things the rest of the country finished processing months ago.

Take Minnesota, where Attorney General Keith Ellison stood in court this week to defend the state's lawsuits against prediction-market operators, the online betting-but-legal-because-we-said-so platforms that have been quietly minting fortunes for well over a year. Ellison's office is, as of this week, responding in court, a phrase that in government timescales roughly translates to "acknowledging the problem exists."

Meanwhile, over on the Senate side, Adam Schiff released a video titled "The Cost of Corruption: Top 10 Ways Trump Has Profited off the Presidency," a countdown format typically reserved for VH1 specials about one-hit wonders, now repurposed to catalog a sitting administration's revenue streams. Schiff's office published the breakdown with the grim enthusiasm of a man numbering grievances he knows will not be acted upon until item eleven happens.

This institutional tardiness isn't limited to scandal and gambling jurisprudence. On the technology beat, the Trump administration reportedly moved to restrict foreign access to Anthropic's newest AI models, a decision tech leaders are still digesting roughly a full product cycle after the rest of the industry moved on to the next model. And in a related dispatch from Politico, insiders report that the administration's broader attempt to "rebrand" itself around artificial intelligence is struggling to escape the building, let alone the news cycle, suggesting the rebrand itself may be the one thing in Washington moving at appropriate government speed: glacially, and only internally.

It all recalls a piece of unrelated wisdom published this week in PR Daily, offering "3 lessons from jumping on a stupid meme way too late" — guidance ostensibly aimed at corporate social media managers, but which reads, in this context, like a mission statement for the federal government generally. Lesson one, apparently, is to commit fully despite the obvious delay. Lesson two is to act as though nobody noticed. Lesson three was not specified, but by all available evidence, no one in Washington has gotten to it yet.

↗ Attorney General Ellison responds to prediction market lawsu  ·  WATCH: Sen. Schiff Breaks Down Trump’s Self-Enrichment Schem  ·  3 lessons from jumping on a stupid meme way too late - PR Da
⬛ Daily Word — AI
Hint: A trained system that recognizes patterns and generates predictions or content.
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