LevelFields AI

Al that eliminates barriers to wealth and prevents market manipulation. Free newsletter with stock and macro analysis

[LevelFields AI @levelfieldsAI]

Warren Buffett is more than the Oracle of Omaha—he’s the greatest event-driven investor of all time. From billion-dollar bailouts to spinoffs, crisis deals, and hidden value plays, Buffett built his fortune by acting when events reshaped the market.

In this video, we break down Buffett’s most legendary moves—from mergers and spin-offs to oil bets and financial rescues—and reveal how he structured deals on his own terms. It’s a masterclass in event-driven investing, showing why timing, patience, and strategy matter as much as picking great companies.

[LevelFields AI @levelfieldsAI]

The Next Big AI Trade May Be in Drug Discovery

Sanofi $SAN.NE just signed a new multi-year AI drug discovery deal with Owkin.

The goal:

Build AI-powered “biopharma agents” that can support drug discovery and development from early research through clinical trials.

This is not an isolated deal.

In 2026 alone:

Sanofi partnered deeper with Owkin for AI drug discovery.

Bristol Myers Squibb $BMY signed with Anthropic to roll out Claude across research, clinical development, manufacturing, commercial, and corporate teams.

Gilead $GILD expanded its deal with Tempus AI for enterprise-wide access to AI tools and real-world oncology data.

Eli Lilly $LLY partnered with Chai Discovery, Noetik, and Insilico Medicine.

Pfizer $PFE signed with Boltz for custom AI models in antibody and small-molecule design.

Takeda partnered with Iambic Therapeutics in a deal worth more than 1.7 Billion Dollars.

Drug development is slow, expensive, and failure-heavy.

AI is being positioned as the operating layer that can help pharma companies find better targets, design better molecules, improve trial selection, and reduce wasted R&D spending.

Read full article here: https://t.co/XnRkNH2KP3

[LevelFields AI @levelfieldsAI]

Ciena just showed why AI infrastructure is bigger than Nvidia.

$CIEN reported a strong fiscal Q1 as customers scaled high-speed networking infrastructure for AI demand.

Key numbers:

Revenue came in at $1.43B, up 33.1% year-over-year.

Adjusted EPS was $1.64 vs. $1.47 expected, an 11.6% beat.

The bigger story was operating leverage:

Adjusted EPS in the company release rose to $1.35 from $0.64 last year.

GAAP EPS rose to $1.03 from $0.31.

Non-GAAP operating margin improved to 17.9% from 12.3%.

Non-GAAP EBITDA jumped 83.6% to 287.3 Million Dollars.

Ciena also reported a record first-quarter backlog, giving management better demand visibility through 2026 and into 2027.

Then guidance went higher.

For fiscal Q2, Ciena expects revenue of about $1.5B, plus or minus 50 Million Dollars.

For fiscal 2026, the company raised its revenue outlook to $5.9B to 6.3 Billion Dollars.

That implies roughly 28% growth at the midpoint.

Training and running AI models requires huge amounts of data to move between data centers, cloud networks, telecom systems, and enterprise infrastructure. That makes optical networking a second-order AI trade.

Read the full article here: https://t.co/9pWoC5NYzP

[LevelFields AI @levelfieldsAI]

Medtronic just posted its strongest annual revenue growth in a decade.

$MDT Q4 FY2026:

Revenue: $9.81B vs. $9.66B expected
Non-GAAP EPS: $1.55 vs. $1.54 expected
Revenue growth: +9.9%
Organic growth: +6.6%
Free cash flow: $5.4B
Cash + investments: $9.2B

The standout number:

Cardiac Ablation Solutions revenue jumped 78% globally, including 124% growth in the U.S.
That helped drive 10.1% organic growth in Cardiovascular, Medtronic’s largest segment.

Diabetes also grew 15% as reported, while Medical Surgical and Neuroscience both posted organic growth.
For the full year, Medtronic generated $36.4B in revenue, up 8.4% as reported and 5.8% organically.

That was its strongest annual revenue growth in 10 years.

The company also raised its dividend to $0.72 per quarter, marking its 49th consecutive year of dividend increases.

FY2027 guidance:

Organic revenue growth: 6.75% to 7.25%
Non-GAAP EPS: $5.90 to $6.00
EPS growth: 6.7% to 8.5%

This wasn’t just a small earnings beat.

It was a clean operating update: stronger growth, cardiovascular momentum, diabetes strength, higher guidance, major cash flow, and another dividend increase.

For a mature medtech company, that combination matters.

Read full article here: https://t.co/Oxn1ikqd7M

[LevelFields AI @levelfieldsAI]

Pelosi's Favorite AI Stock Taking Off

At ASCO, Tempus AI $TEM presented 37 research abstracts showing how its AI platform can help doctors use genomic data, pathology, imaging, clinical notes, and patient outcomes to make faster cancer treatment decisions.

The bigger idea:

AI in healthcare is not just about better software.

It could help doctors detect disease earlier, match patients to clinical trials, predict treatment response, and reduce trial-and-error care.

That matters because cancer affects nearly 20 million people globally each year, and healthcare still runs on fragmented data.

Tempus is trying to become the intelligence layer for precision medicine.

Investors are watching because the company is building one of the largest multimodal healthcare datasets in the industry. More patient records, molecular profiles, and treatment outcomes could make its AI models more useful over time.

The Pelosi connection adds attention.

But the real investment question is bigger:

Can Tempus turn AI-driven healthcare data into a platform doctors and drug developers rely on?

If yes, this story is no longer just about diagnostics.

It becomes a bet on AI becoming core infrastructure for medicine.

Read the full article here: https://t.co/VKsaAzs3K1

[LevelFields AI @levelfieldsAI]

@heynavtoor We’ve observed this with documentation requests eg creating technical specs where the guidance was completely made up at parts.

[LevelFields AI @levelfieldsAI]

These hallucinations are likely the real reason Anthropic refused the War Dept’s request to access Claude for military use. Imagine an AI intelligence threat assessment or report that’s wrong 30% of the time? How many wars would be started on false information? How many deaths would be caused?

Probability models like these LLMs are routed in guessing the answer based on probability, much like someone playing blackjack assumes the dealer’s card is likely a ten value. That’s why we designed a Deterministic LLM to run our own AI. Deterministic models use pre-determined and defined outcomes based on predefined corpus of info with guardrails to prevent all hallucinations.

Interesting this study left out Grok, which is still prone to errors on multi-step retrievals but rooted towards “maximum truth seeking.” Note the word maximum denotes as much as possible by the model, but is not the same as completely truthful.

[Miad Maleki @miadmaleki]

This confirms ~ 13-day onshore storage estimate: Iran is now using containers and "junk storage" (disused tanks in poor condition) in Ahvaz and Asaluyeh to avoid cutting production. And now rail.

They're delay tactics measured in days, not weeks.

1. Why rail is a dead end: Iran's own senior rail transport expert Morteza Naserian told Mehr News there are only 2 rail corridors to China, never used for petroleum, with severely limited capacity and zero bulk crude infrastructure.

2. The floating storage "fix" is equally thin. Iran pulled NASHA (IMO 9079107), a 30-year-old retired VLCC, out of the breakers. NASHA buys ~48 hours.

3. Jask terminal storage tanks have reportedly already hit maximum capacity as of April 25. Some tankers are now anchored near Kharg acting as improvised overflow. a fleet the Islamic Republic can't replicate at scale.

4. The 2020 precedent that some point out to (85% storage utilization + 120 Mbbl afloat) was managed under very different conditions (I was watching it from the inside): it was sanctions without a naval blockade, and with active export channels still partially open. That escape valve is gone now, and Iran's tankers (including its ghost fleet) are already filled up with 166M barrels.

5. Bottom line: containers, junk tanks, retired VLCCs, and rail fantasies are not a storage strategy. They're the last moves of a system running out of room, exactly on the timeline that was estimated.

Don't forget about the gasoline shortage clock.

https://t.co/isLzXVdFWR

[Insider Paper @TheInsiderPaper]

BREAKING: President Trump extends ceasefire to give Iran more time to negotiate on the request of Field Marshal Asim Munir and PM Shehbaz Sharif of Pakistan

[Miad Maleki @miadmaleki]

10/10 BOTTOM LINE: A naval blockade imposes ~$435M/day in combined economic damage. Storage fills in 13 days, forcing well shut-ins that cause permanent reservoir damage. The rial enters terminal collapse. Iran's alternatives outside the Strait can replace less than 10% of Gulf throughput. The blockade makes continued resistance economically impossible.

[Miad Maleki @miadmaleki]

9/10 CURRENCY COLLAPSE ACCELERANT: The rial has already cratered from 42,000 to 1.5M per dollar. Banks are limiting withdrawals to $18-30/day. Overall inflation: 47.5%. A blockade eliminating all forex earnings pushes the rial into terminal hyperinflation. The regime issued its largest-ever banknote, 10M rials, worth about $7.

[LevelFields AI @levelfieldsAI]

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[Citron Research @CitronResearch]

Citron Short $AAOI- The anti-$LITE

Two weeks ago $AAOI was $85. Today it's $140. $3.5B in market cap added on a random press release. This stock should trade back to $85 once the roulette wheel stops spinning (which would still put it above consensus)

Let's be clear about something. Citron is not an AI bear. Long $GLW, the fiber backbone every hyperscaler buys more of regardless of which architecture wins. Respect $LITE, Nvidia's chosen partner with real profits and real backlog.

GLW is reasonable. LITE is expensive. AAOI is delusional.

And the customer tells you everything. LITE's anchor is Nvidia , $2 billion invested directly into their supplier, booked solid through 2028, balance sheet that could fund a small country.

AAOI's anchor is Oracle , 30,000 layoffs, $100 billion in debt, negative free cash flow, and a flagship data center expansion that just fell apart over financing. One company picks winners. The other is desperately trying not to be a loser.

ONE NUMBER ENDS DEBATE!!

Nvidia at its peak as THE monopoly in AI chips with $200 billion in annual profits peaked at 40x forward earnings at the height of AI bubble euphoria. And Nvidia earned that multiple with 75% gross margins, monopoly pricing, and no real competition.

AAOI trades at 112x forward earnings, nearly three times peak bubble Nvidia, with 31% gross margins, heavy capex, one customer, and zero pricing power.

To justify 112x you need Nvidia-like margins. AAOI has commodity hardware margins that are one Innolight price cut away from making their already imaginary path to profitability a permanent moving target.

You are paying beyond monopoly multiples for commodity economics , backed by the most leveraged, most financially stressed customer in the hyperscaler food chain.

Could write pages about the Amazon warrants and the execution risks and accounting but why confuse an obvious story.

Expensive has a defense. Delusional does not.

[Nathan Livingstone (MilkBarTV) @TheMilkBarTV]

Donald Trump on Iran: 1980 → 2026. Trump’s position hasn’t changed. Anyone claiming he was ‘tricked’ into this war simply hasn’t been paying attention.

[Norman Donaldo Jarquin Gutierrez @jarquin_norman]

#Estados_Unidos 🇺🇸
Estados Unidos ejecuta audaz rescate en Irán, recupera a sus aviadores bajo fuego enemigo
en una operación de alto riesgo que reafirma la doctrina inquebrantable de los conservadores, del aparato militar estadounidense, equipos de búsqueda, rescate, de combate (CSAR) penetraron profundamente en territorio iraní para extraer con vida a los dos aviadores de un F-15E Strike Eagle derribado durante intensas operaciones contra objetivos del régimen terrorista de Teherán.

La aeronave, perteneciente al 494.º Escuadrón de Caza, fue alcanzada por sistemas de terroristas iraníes mientras cumplía su misión, obligando a la tripulación a eyectarse en una zona montañosa hostil del suroeste del país, donde fuerzas y milicias del terrorismo Iraní iniciaron de inmediato su persecución.

Lejos de ceder terreno, el mando militar estadounidense respondió con precisión y determinación, un primer equipo CSAR logró recuperar a uno de los aviadores en medio de un fuego intenso.

Posteriormente, un segundo grupo volvió a ingresar en espacio enemigo, volando a baja altura en helicópteros HH-60W Jolly Green II, respaldados por aeronaves HC-130J y bajo la constante amenaza de misiles portátiles MANPADS y fuego antiaéreo.

Aviones A-10 Warthog proporcionaron fuego supresor clave, garantizando la cobertura necesaria para completar la extracción.

Ambos militares fueron evacuados con éxito hacia Irak, donde ya se encuentran fuera de peligro y recibiendo atención médica.

Este episodio marca la primera pérdida confirmada de una aeronave tripulada de Estados Unidos 🇺🇸 en operaciones recientes sobre Irán.

Sin embargo, lo que verdaderamente define este momento no es la caída del avión, sino la contundente respuesta estadounidense, ningún soldado queda atrás, esa es la diferencia entre una potencia comprometida con sus hombres y un régimen como el iraní, que celebra la violencia mientras intenta proyectar fuerza a través del terror.

La operación no solo evidencia la superioridad táctica, tecnológica de Estados Unidos 🇺🇸 sino también el valor incuestionable de sus fuerzas armadas frente a un régimen que continúa apostando por la confrontación.

Los terroristas podrán intentar capitalizar el derribo, pero han fracasado en lo esencial, quebrar la moral y la capacidad de respuesta estadounidense.

Una vez más, Estados Unidos 🇺🇸 entra, golpea y regresa con los suyos, los protege, los pone a salvo. Así opera una nación que honra a sus guerreros. @REPUBLICANA23 @CarinesMoncada @EntrelineasNoOf @niccole75 @MindlinDiany @PaoShara @ForneronEstela @MarMoRalesCR21 @Gonzalez3006

[LevelFields AI @levelfieldsAI]

@aleabitoreddit @pepemoonboy Criminals

[LevelFields AI @levelfieldsAI]

@aleabitoreddit @SarahLeon28397 What tools do you need built to better track these dumps? We can build it and make it free for everyone

[LevelFields AI @levelfieldsAI]

@aleabitoreddit True. The signals have been there for a long time

[LevelFields AI @levelfieldsAI]

@RyanSaavedra @ArynneWexler 30 days late on this one but perhaps didn’t want to telegraph it to Iran