Najam S

[Mahmod Hinawi @GazaReality]

🚨 New footage: War crime.

An unarmed, handcuffed, blindfolded Palestinian executed at point blank range by Israeli soldiers.

Silence is complicity.
#WarCrimes #FreePalestine

[Anatoli Kopadze @AnatoliKopadze]

A Berkeley professor just leaked Anthropic’s CCA exam that opens the door to $750,000 jobs.

In 20 minutes he covers every single topic on the exam and explains how to actually solve it.

This exam shows exactly what you need to know about AI right now and what’s not worth your time.

Watch the presentation first, then read the guide below on how to build a system that improves itself.

[Market Rebellion @RebellioMarket]

Market Wizard Linda Reschke's 12 Technical Trading Rules:

1. Buy the first pullback after a new high. Sell the first rally after a new low.

2. Afternoon strength or weakness should have follow through the next day.

3. The best trading reversals occur in the morning, not the afternoon.

4. The larger the market gaps, the greater the odds of continuation and a trend.

5. The way the market trades around the previous day’s high or low is a good indicator of the market’s technical strength or weakness.

6. The previous day’s high and low are two very important “pivot” points, for this was the definitive point where buyers or sellers came in the day before. Look for the market to either test and reverse off these points, or push through and show signs of continuation.

7. The last hour often tells the truth about how strong a trend truly is. “Smart” money shows their hand in the last hour, continuing to mark positions in their favor. As long as a market is having consecutive strong closes, look for up-trend to continue. The up trend is most likely to end when there is a morning rally first, followed by a weak close.

8. High volume on the close implies continuity the next morning in the direction of the last half-hour. In a strongly trending market, look for resumption of the trend in the last hour.

9. The first hour’s range establishes the framework for the rest of the trading day.

10. A greater percentage of the day’s range occurs in the first hour then was the case in the past, and thus it has become increasingly important to trade aggressively if there are early signs of a strong trend for the day.

11. There are four basic principles of price behavior which have held up over time. Confidence that a type of price action is a true principle is what allows a trader to develop a systematic approach.

The following four principles can be modeled and quantified and hold true for all time frames, all markets. The majority of patterns or systems that have a demonstrable edge are based on one of these four enduring principles of price behavior.

Charles Dow was one of the first to touch on them in his writings. Principle One:

A Trend Has a Higher Probability of Continuation than Reversal Principle Two:

Momentum Precedes Price Principle Three:

Trends End in a Climax Principle Four:

The Market Alternates between Range Expansion and Range Contraction!

12. In the world of money, which is a world shaped by human behavior, nobody has the foggiest notion of what will happen in the future. Mark that word –

Nobody! Thus the successful trader does not base moves on what supposedly will happen but reacts instead to what does happen.

[Jimmy Dore @jimmy_dore]

October 7th was funded & set up by Netenyahu & Israel. The Israeli military was given a stand down order & Bibi was shoveling $30 million a month to Hamas. Ben Swann spells it all out so clearly even a Zionist can understand:

[Khairallah AL-Awady @eng_khairallah1]

Don't waste 2 years learning to build LLMs like Claude & ChatGPT.

Andrew Ng, the godfather of AI, gave the complete playbook to become an AI agentic engineer in 2026.

• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems

Anthropic pays $750,000/year to engineers who understand the this exact knowledge of LLMs.

Bookmark this & give 2 hours today, no matter what. Then read the article below.

[Lunar @LunarResearcher]

Ex-Google engineer just released a free 3-hour course on building and monetizing AI agents.

How to go from one agent to a full system that finds leads and makes money:

00:00 - Design an AI agent system
07:38 - Add human handoffs
19:27 - Understand RAG and vector databases
52:38 - Deploy agents to Google Cloud
1:25:57 - Turn agents into a paid WhatsApp business
1:33:00 - Convert conversations into leads
2:24:01 - Learn loops vs graphs
2:33:08 - Build a multi-tool agent graph

Most people are still building AI demos.

This course shows the full stack:

Agents → RAG → Deployment → Leads → Revenue

Building agents is the old workflow.

Monetizing agent systems is the new one.

This 3-hour watch covers more than most $500 paid courses.

Save it before everyone starts selling the same thing.

[Mike Miller @Mike___Miller_]

@ShadowofEzra

[GBC @GBC_Press]

🚨 BREAKING:

​Netanyahu, live on air:

​He said: "In Iran, we targeted civilians, families, fathers, mothers, and children. We killed them."

​He confessed to committing war crimes before the entire world.

[Trust In Trump @Trustintrump47]

🚨🚨THE MOST POWERFUL VIDEO YOU'LL SEE TODAY.

John Clauser, Nobel Prize in Physics and 1,500 more Scientists at Quantum Korea say:

"THERE IS NO Climate Change, THERE IS NO Climate Emergency"

Dr. Clauser Added: "The Climate Change narrative is a DANGEROUS CORRUPTION THAT THREATENS THE ECONOMY ON A GLOBAL LEVEL" ⚔️🔥

[MIKE @mikenevermiss]

THIS IS F*CKING DANGEROUS🚨

chinese developers just open-sourced a tool that can create realistic talking AI videos from a single photo.

most AI avatar platforms charge monthly subscriptions for this.

this one is completely open source.

all you do is upload a photo.

add an audio file.

and it generates a talking video that can last for several minutes.

what makes it so impressive isn't just the quality.

it's how accessible it's become.

anyone can create videos that would have required expensive software or production tools not long ago.

the pace of AI is getting harder to keep up with.

i've left the repo below if you want to see how it works.

[codila @0xCodila]

Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%:

10% → 38:46 - build your first agent
30% → 54:46 - connect MCP tools
55% → 1:12:43 - Loop engineering: 4 ways to run agents
70% → 1:20:57 - Graph engineering
100% → 2:22:31 - the full system that works while you sleep

most people build one agent and stop there - this is the full path to a system that runs without you from scratch

watch it today - then read the full graph engineering playbook below ↓

[CyrilXBT @cyrilXBT]

THIS GUY MAKES COMPLEX AI AGENT CONCEPTS RIDICULOUSLY EASY TO UNDERSTAND.

No jargon wall. No assuming you already know what a reward model or an evaluation harness is.

Just a straight line from "I have no idea how agents actually work" to "oh, that's genuinely simple."

The best explainers do not simplify by cutting corners. They simplify by finding the one analogy that makes the whole thing click.

[Nagma parween @TechByNagma]

🚨Architects are going to hate this.

Someone just open-sourced a full 3D building editor that runs entirely in your browser.

No AutoCAD. No Revit. No $5,000/year licenses.

It's called Pascal Editor.

Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed.

Here's what's inside this thing:

→ A full building/level/wall/zone hierarchy you can edit in real time
→ An ECS-style architecture where every object updates through GPU-powered systems
→ Zustand state management with full undo/redo built in
→ Next.js frontend so it deploys as a web app, not a desktop install
→ Dirty node tracking -- only re-renders what changed, not the whole scene

Here's the wildest part:

You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser.

Architecture firms pay $50K+ per seat for BIM software that does this workflow.

This is free.

100% Open Source.

[mcgill_medicines @mcgillmedicines]

IVERMECTIN: FULL DOSAGE SCHEDULE FOR CANCER & PREVENTION

1000s of people use Dr. William Makis MD’s IVERMECTIN dosing chart. Here’s a clear, categorized breakdown based on body weight (mg/kg per day).

LOW DOSE: ≤ 0.5 mg/kg/day
**Best for:**
- Cancers in remission
- Strong family history or genetic predisposition
- Prophylaxis (preventive)
**Side effects:** No long-term side effects reported.
**Example:** Dr. Tess Lawrie reported a Stage 3 ovarian cancer case treated with chemo + 12 mg ivermectin daily. Tumor marker CA125 dropped from 288 to 22 after 2 months and the tumor vanished.

MEDIUM DOSE: 1.0 mg/kg/day
**Best for:** Starting dose for **most cancers** (lung, pancreatic, renal cell, gastric, etc.).
**Side effects:** No long-term side effects reported.
**Example:** Dr. Shankara Chetty’s 70-year-old prostate cancer patient (PSA 89) took 45 mg/day (plus lactoferrin). After two months PSA fell to 10.9.

HIGH DOSE: 2.0 mg/kg/day
**Best for:** Very aggressive cancers (leukemia, pancreatic, brain cancers).
**Side effects:** No long-term side effects reported.
**Example:** Dr. Allan Landrito’s Stage 4 gallbladder cancer patient took 2 mg/kg daily for 14 months — cancer disappeared.

VERY HIGH DOSE: ≥ 2.5 mg/kg/day
**Best for:** Extensive metastatic disease, extremely poor prognosis, or certain brain cancers.
**Side effects:** Possible short-term & transient visual effects (usually resolve in a few days).
**Example:** Dr. Shankara Chetty treated a patient with 2.5 mg/kg/day — no side effects reported.

**Quick conversion example (for a 60 kg / 132 lb person):**
- Low: ≤30 mg/day
- Medium: 60 mg/day (≈5×12 mg tablets or 1 teaspoon liquid)
- High: 120 mg/day
- Very High: ≥150 mg/day

Many anecdotal reports exist of long-term daily use (months to over a year) with no serious toxicity, but individual responses vary.

Always work with a knowledgeable clinician, especially if you have pre-existing conditions (e.g., vision issues or glaucoma). This is for educational purposes only.

Share to spread awareness — information. Follow for more .

[Yero @Yerocode0]

🔥 Conocí a un tipo que gana 1.2 millones de dólares al año solo escribiendo prompts.

Le pregunté cuál era su truco.

Me mandó un curso de Anthropic de solo 2 horas.

Lo terminé anoche… y a la mitad me quedé congelado

Me di cuenta de que llevo meses usando Claude mal.

No es que lo use poco. Es que lo estaba usando como el 95% de la gente.

Si usas Claude aunque sea de vez en cuando,
guarda este tweet ahora.

En serio. Te va a cambiar la forma en que hablas con la IA.

[Aaron Rupar @atrupar]

MERKLEY: There are reports that we have hit numerous desalination plants in Iran. Were those deliberate targets?

CAINE: I'm not aware of those being particular targets, nor am I aware of those reports

MERKLEY: You are aware that infrastructure that civilians rely on to survive is not generally considered genuine military targets?

[Roan @RohOnChain]

My friend applied to 250 tech jobs in two years. No MIT. No Stanford.

Last month Anthropic offered him $750,000.

I asked him how he broke in from zero.

He sent me the exact video that got him in. Anthropic's 2-hour course on how to become an AI engineer in 2026.

Thariq Shihipar shows you exactly how to build AI agents from scratch.

I watched it last night.

Halfway through, I realized I could break into an AI lab in months, not years.

Bookmark this and read the article below.

• 00:00 - AI agent harness
• 23:44 - building AI agent loops
• 56:39 - AI agent context engineering
• 1:33:34 - AI agent deterministic hooks
• 1:50:31 - Anthropic SWE interview process

[Anatoli Kopadze @AnatoliKopadze]

A Google Cloud engineer just showed how to build a full app with Claude from scratch.

He spent 26 minutes live on stage doing what most teams take weeks to do.

Worth more than any $500 vibe-coding course, no team, no setup, just Claude and a goal.

The ones who learn what Claude actually does are shipping what everyone else outsources to a team.

Watch it, then read the guide below on the Claude features 99% of users never find.

[Lunar @LunarResearcher]

I turned Claude into an entire company.

42 skills.
7 departments.
1 Claude instance.

Every department is real.
Every skill is installable.

Developers

Superpowers
→ https://t.co/1wQ4kfzreP

Context7
→ https://t.co/3TJwXDqTlA

Skill Creator
→ https://t.co/g2GcXePGC2

MCP Builder
→ https://t.co/g2GcXePGC2

Webapp Testing
→ https://t.co/g2GcXePGC2

Claude-Mem
→ https://t.co/mBL34QvVnK

Designers

UI UX Pro Max
→ https://t.co/z4H5pousfn

Taste
→ https://t.co/yXtdAmeCC6

Frontend Design
→ https://t.co/yXtdAmeCC6

Transitions
→ https://t.co/eKxMd3mYWQ

Marketing

45 skills for copywriting, SEO, and campaigns

→ https://t.co/UrPt9uUcZt

Social Media

17 skills for content, Reels, and thumbnails

→ https://t.co/4elSxHmtvz

Finance

8 skills for statements and audits

→ https://t.co/dzFlyogp3g

Small Business

31 skills for operations and automation

→ https://t.co/olo9KoVWpb

Legal

9 skills for contracts and compliance

→ https://t.co/bL37xWH1Jz

Not prompts.

Not wrappers.

A full AI company running on one model.

Same departments.

No hiring.
No payroll.

Bookmark this and build your own AI company.

[Anatoli Kopadze @AnatoliKopadze]

One of my favorite videos is from this Anthropic engineer:

"You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day"

in 45 minutes he shows exactly how to do it from scratch, step by step

But he never addresses the real problem: you now have 5 assistants, 5 separate conversations, five contexts with little to no overlap.

Spinning up 5 agents in an afternoon is impressive, but it's getting those agents (and the humans working alongside them) into the same room, sharing the same context, building on each other's work that should be the real goal.