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Lecturer Pooja part 3

Pooja Joseph ki Suprise idham ani mrunal ni intiki pilichindhi.Joseph evening ayyaka Pooja House ki Vachadu
Joseph:Hello na Lanja Madam
Pooja:Entra Lanja antunnav
Joseph: Meeru Naku Lanja kadha madam(Antu lip kiss peduthu ass pisikestunadu)
Pooja:Rey Agu

Joseph:Madam nenu adigina request
Pooja:Emiti ra
Joseph:Adhe Madam Mrunal mam tho threesome
Pooja:Rey adhi chala strict ra
Joseph:plz mam
Pooja:Chustha le ra ivala niku suprise undhi ra
(Pooja black cloth teesukuni Joseph eyes ni tight ga blindfold chesindi Tanu vaadini sofa

meeda kurchobettindi hands ni back ki tie cheyaledu kaani touch cheyyaku first ani cheppindi)
Pooja:Relax ra nenu start chestha
Joseph: Fast ga chikandi mam
(Pooja silent ga side door open chesindi Mrunal silent ga enter ayyindi. Pooja signal ichhi side ki velli chostundhi)

Fine-Tune 100+ LLMs without writing a single line of code!

LLaMA-Factory lets you train and fine-tune open-source LLMs and VLMs without writing any code.

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• Fine-tune 100+ LLMs/VLMs with built-in templates (LLaMA, Gemma, Qwen, Mistral, DeepSeek, and more).
• Zero-code CLI & Web UI for training, inference, merging, and evaluation.
• Supports full-tuning, LoRA, QLoRA, freeze-tuning, PPO/DPO, OFT, reward modeling, and multi-modal fine-tuning.
• Speeds up training/inference with FlashAttention-2, RoPE scaling, Liger Kernel, and vLLM backend.
• Integrates experiment tracking via LlamaBoard, TensorBoard, Weights & Biases, MLflow, and SwanLab.

It's 100% Open Source

Link to the Github Repo in the comments!

Github Repo: github.com/hiyouga/LlamaF…

If you found it useful, reshare it with your network

Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering!

https://x.com/Sumanth_077/status/2039701710659272775?s=20

1/6 James, that's a (VERY) creative interpretation. Allow me to offer another. $TSLA is running production hot *precisely because* demand is soft. In auto manufacturing, fixed cost absorption is everything.

2/6 Slowing factory output = unabsorbed overhead hitting gross margin immediately and visibly, in a line item everyone can see. Keep the line running, even if it means inventory is built, and you spread those fixed costs across more units, flattering the P&L. It's an old trick.

3/6 Let's do the arithmetic your thread skipped. $TSLA's COGS per unit was $33,666 in 4Q25. Thus, a 50K unit inventory build represents -$1.683bn of cash burn in the qtr. I'm not sure that's what most people mean by "timing issue."

Περί επαγγελματικού προσανατολισμού στα παιδιά: Σταματήστε να εμπιστεύεστε τους τσαρλατάνους που μιλάνε για αυτό στα σχολεία αλλά και τους ακριβούς ιδιώτες που πουλάνε πίπες. Eίναι άσχετοι. Αντί να πληρώνετε τον κάθε βλάκα, κάντε το εξής >>

>> Κοιτάξτε στο άμεσο και έμμεσο κοινωνικό περιβάλλον και εντοπίστε 3,4,5 άτομα που έχουν καταφέρει κάτι σε διαφορετικά μεταξύ τους μοντέλα εργασίας. Εντοπίστε δλδ πχ έναν ελεύθερο επαγγελματία, έναν υπάλληλο >>

>> έναν επιχειρηματία, έναν καλλιτέχνη, Κανονίστε συναντήσεις - συζητήσεις με το παιδί ώστε να καταλάβει το μοντέλο εργασίας που θα ήθελε να ακολουθήσει, τα πλεονεκτήματα αλλά και τις δυσκολίες που έχει αυτό >>

You can literally clean out your brain doing this.

The GLYMPHATIC SYSTEM in the brain helps flush out various toxins from the cerebrospinal & interstitial fluids of the brain.

It might just be your behind fatigue, cognitive decline and even depression.

Here's how (🧵1/8):

The brain produces cerebrospinal fluid from blood for a multitude of reasons.

Your neurons need it to fire properly, and it also physically protects your brain from damage and from being too heavy.

But perhaps the most important role of CSF is to enable glymphatic clearance.

The body had the lymphatic system.

Your tissues get blood for nutrients, and they produce waste, which gets taken up by lymphatic vessels.

These drain into your lymph nodes where your immune cells can clean up various toxins, microbes, or other byproducts.

The thing is, the lymphatic system does not have a heart equivalent constantly pumping it around, so it can become stagnant if we do not manually mobilize it.

The same is true in the brain.

SAMANTHA AKKA ❤️

Me and my friend are in video call

Me:rey mama ni amma ni choopinchu ra naku modda aagatledhu,
ahhh thattukolekapotunna ra mood ni
(Na maatalu window lo nunchi na samantha akka vintundi)

Nenu battalu lekunda modda kottukovadam choosi shock ayindi
Me:mama pls

ra ala anaku ra
okkasari choopinchu ra amma
guddha ni (ani vadni brathimaalutunna)
Eppudu intlo paddhathi ga unde nannu ala siggu lajja vadilesi unde la choodatam tho akka surprise ayindi
Kasepu nannu alane brathimaaladam choosi navvukoni
Direct ga door teskoni lopaliki vachi

door lock chesindi Nenu bayam tho modda meeda pillow addanga pettukoni
Me: entakka ala suddenga vachesav emaindi?
Akka gattiga na rendu chempala meeda kottindi
Akka: mi call motham vinnanu entra nuvvu chestunna pani
Me :sorry akka edho mood lo chesanu malli repeat avvadhu akka

🚨India sends ₹83,000 crore of medicines to America every year.

Yesterday Trump put a 100% tax on drugs.

Nifty Pharma fell 3.5% in one day.

People are selling everything.

But here's the thing nobody told you

90% of India's medicines to America have ZERO tax on them.

Zero.

The people panic selling right now are selling the wrong stocks.

Let me explain this🧵
(MUST BOOKMARK & REPOST)

2/20

okay so first.

what did Trump actually do on April 2?

he taxed TWO things.

thing 1 → brand name medicines. the expensive ones. the ones with patents. 100% tax.

thing 2 → steel and aluminum. he changed how the tax is calculated. closed a loophole.

that's it.

he did NOT tax
→ cheap generic medicines ❌
→ all Indian pharma ❌
→ everything ❌

this one fact is worth crores to you if you're an investor.

most people reacting right now missed it completely.

3/20

before i go further
be honest.

what do YOU think this tariff does to India?

answer comes at tweet 11.
i promise it will surprise most of you.

@BstKidEva Ingredients: 10 cups
2 cups instant nonfat dry milk
3/4 cup cornstarch
1/4 cup chicken bouillon powder
2 tablespoons dry minced onions
1 teaspoon dried parsley
1/2 teaspoon ground black pepper

Place 1 cup instant nonfat dry milk in a 1-liter mason jar with a tight-fitting lid.

@BstKidEva Add cornstarch, bouillon powder, minced onion, parsley, and pepper. Screw the lid on and shake until evenly combined.

Add remaining cup dry milk. Screw the lid back on and shake again. Store in a cool, dark pantry until ready to use.

@BstKidEva To use: When a recipe calls for 1 can of condensed cream of soup, add 1/3 cup dry mix to a small saucepan. Whisk in 1 cup cold water.

Place saucepan over medium high heat. Cook for 5 minutes, whisking constantly. Remove from heat; set aside for 5 minutes to cool and thicken.

"¿Por qué creó Dios el mal?"

[Esta es probablemente la mejor respuesta que he escuchado a la pregunta.]

Un Profesor Universitario preguntó a sus alumnos:

"¿Todo lo que existe fue creado por Dios?"

Un estudiante respondió con valentía:

"Sí, fue creado por Dios".

El profesor preguntó:

"Si Dios creó todo, entonces creó el mal, ya que existe. Y según el principio de que nuestras acciones nos definen, entonces Dios es malo".

El estudiante guardó silencio tras escuchar tal respuesta.

El profesor estaba muy satisfecho consigo mismo. Se jactó ante los alumnos por demostrar una vez más que la Fe en Dios es un mito.

Otro estudiante levantó la mano y dijo:

"¿Puedo hacerle una pregunta, profesor?"

"Por supuesto", respondió el profesor.

"I don't enjoy killing. I treat it as work that cleans Ukraine of Russians, like Colorado beetles." This is 47-year-old sniper Tetyana Khimion, callsign "Tango" — a former ballroom dance instructor from Sloviansk, writes Ukrainska Pravda. 1/

She started dancing at seven. In 2002 she opened her own club "Four Step" in Sloviansk. At eight months pregnant she showed children how to do cartwheels and splits. On the fifth day after giving birth she was back in the studio. Then she decided dancing was not enough. 2/

In summer 2022 she joined Special Operations Forces without telling her husband. When the battalion commander asked who she saw herself as, she answered without hesitation: "A sniper." She had held a rifle for ten to fifteen minutes in her life. But she felt it was hers. 3/

A new milestone in automatic formalization:
We translated an entire graduate math textbook into Lean using 30K LLM agents.
Open-source, large-scale multi-agent inference that actually works
> Blueprint+Lean: faabian.github.io/algebraic-comb…
> Codebase+preprint: github.com/facebookresear…
1/7

The target: Introduction to Algebraic Combinatorics by Darij Grinberg ().
Formalizes directly on top of Lean’s Mathlib while remaining largely disjoint from it, providing a realistic benchmark for the actual complexity of extending Mathlib book by book. 2/7arxiv.org/abs/2506.00738

The architecture: Claude 4.5 Opus agents assigned to different roles, collaborating via standard SWE workflows (git, feature branches, PRs, CI).
Automated math and engineering reviews ensure high-quality proofs, though still sub-Mathlib level. 3/7

Bank like UBL has a big pile of money invested in govt bonds or fixed rate securities. These are like loans the bank gave where the interest rate is locked (fixed) for many years.What happens when interest rates rise? 🤔

https://twitter.com/PseudoEconomist/status/2039794218911084899

When overall interest rates in the market go up, new bonds start offering higher interest. But the bank's old bonds become less attractive. Their market value drops, just like how an old phone loses value when a better one comes out.🧵

This drop in value is a paper loss (not real cash lost yet, because the bank hasn't sold the bonds).

So, where does this loss show up
Banks don't always put this loss straight into their profit & loss account Instead, it goes into Other Comprehensive Income (OCI) 🧵

🚨 In 1513, a man was thrown in prison, tortured, and exiled. So he wrote a book about power.

The Catholic Church banned it. Napoleon was caught with a copy in his carriage after his final defeat. Stalin kept it on his bedside table and wrote notes in the margins. Mussolini read it. Kissinger and Nixon used it as bedtime reading.

The book is The Prince by Niccolò Machiavelli. It's 500 years old. It invented the word "Machiavellian." And it's still the most dangerous book on power ever written.

I turned Machiavelli's core strategies into 12 Claude prompts.

You describe any power struggle (office politics, negotiations, competition, leadership) and it gives you the exact Machiavellian counter-move.

Here are all 12:

Prompt 1: The Lion and the Fox

Machiavelli's most famous strategy (Chapter 18): A leader must be both a lion and a fox. The lion uses raw force. The fox uses cunning. Most people only know how to be one.

"I'm facing this situation: [describe your power struggle — office politics, negotiation, competition, conflict]. Analyze it through Machiavelli's Lion and Fox framework. Tell me: (1) What is the 'lion move' — the direct, forceful action I could take? What are its risks? (2) What is the 'fox move' — the cunning, strategic, indirect approach? What are its risks? (3) Which one should I use in THIS specific situation and why? (4) Is there a way to combine both — appear as the fox while positioning the lion? Give me the exact words to say and actions to take."

Prompt 2: The Feared vs. Loved Calculator

Machiavelli wrote (Chapter 17): "It is much safer to be feared than loved, if one must choose." But he also warned: fear without hatred is the key. Cross into hatred and you lose everything.

"I'm in a leadership position at [your role/context]. I need to make a tough decision: [describe the decision]. Using Machiavelli's 'Feared vs. Loved' framework, tell me: (1) What would the 'loved' approach look like? Where does it make me vulnerable? (2) What would the 'feared' approach look like? Where does it risk crossing into hatred? (3) Where is the exact line between respected fear and destructive hatred in this situation? (4) Give me the specific approach that commands respect without creating enemies. Script the exact conversation or action."

Its been a busy couple of days dealing with the aftermath of the verdicts against Chris Nineham and me. First of all a huge thankyou to the mass of people who have been in touch to share love and solidarity and their sense of outrage at the judgement. Some reflections:

We are appealing ,and if the system retains routes to justice, a hope that has to be sustained, then we believe the appeal will be successful because the evidence is so clear. We have deep concerns not just about the outcome but the conduct of the case.

This includes the Judge's decision to allow the prosecution to run to 4 days out of the 6 allocated and refusal to allow additional time for the defence. Justice must not only be done but must be seen to be done .

Pleased to share my favorite high-resolution capture of the Artemis II launch- the moment the SLS is clearing the tower, captured by a sound-triggered camera placed near the pad.

I'll have prints linked in my bio for this one, and here's a short thread about how it was captured

To get pics this detailed, you have to be CLOSE. A telephoto lens from miles off isn't enough. But that distance would severely injure any human. What's the solution? Pre-placed cameras and sound activated triggers.

Strangely- that isn't the biggest challenge of shooting these.

The plume is BRIGHT. Controlling your exposure to not overexpose it is a huge challenge, especially since you can't take a test photo and adjust your settings mid-launch.

This is how the raw looks. All the detail in the shadows is still there, it just needs to be brightened!