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[XynHost @XynHost]

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[Ayasha @I_AM_AYASHA]

50 websites that feel like the internet’s hidden toolbox 🧰

1. https://t.co/xcsIWcn65M — Free research papers
2. https://t.co/noaZKa69Hg — Borrow books online
3. https://t.co/5tsz46vVr0 — Free academic journals
4. https://t.co/CAvMMAtfBp — App alternatives
5. https://t.co/9dCCaCpJBz — Find where to stream
6. https://t.co/4QVUgRary2 — Internet archives
7. https://t.co/vbM2hizQQg — 70K+ free books
8. https://t.co/bwvStgKuf9 — Free textbooks
9. https://t.co/m8qhb3fmKd ��� Free courses
10. https://t.co/rnJfgll8sQ — Solve complex problems
11. https://t.co/AokPm1QKqG — Photoshop alternative
12. https://t.co/bw2CTH6Yue — Compress images
13. https://t.co/RMmYfxcJiY — Remove backgrounds
14. https://t.co/H281vKYgTc — Remove objects
15. https://t.co/gKDigOuJL4 — Remove video backgrounds
16. https://t.co/hEWuz7xh0s — Beautiful code images
17. https://t.co/hMgLdMY82Q — Code screenshots
18. https://t.co/LprZr7JVs4 — Product mockups
19. https://t.co/pVFa14C0CW — Create mockups
20. https://t.co/D0IiVkZH5G — Check data breaches
21. https://t.co/tv1BZy0ayg — Scan files & URLs
22. https://t.co/X6yHE0dFuh — Self-destructing notes
23. https://t.co/jg1k8VZMGv — Temporary email
24. https://t.co/GTul8RuR9N — Temporary file sharing
25. https://t.co/W5rw5ltAxu — Save webpages
26. https://t.co/Xyyh2GKzIi — Find similar websites
27. https://t.co/mBBezz0hTK — Explore global radio
28. https://t.co/C5QlgYIPEP — Discover music genres
29. https://t.co/rBPD1KIyPN — Find songs from shows
30. https://t.co/ChRCPLQJy2 — Focus music
31. https://t.co/rvpa6rt1h8 — Custom background sounds
32. https://t.co/fkevVCQZon — Café ambience
33. https://t.co/TBmM28BFRj — Research assistant
34. https://t.co/MCCObYAJeR — Research-backed answers
35. https://t.co/TOjfnuXUE4 — Research connections
36. https://t.co/dMZpzJBxJr — Academic search
37. https://t.co/z7ZFyUT0CP — Understand research papers
38. https://t.co/UWifj79XKR — YouTube summaries
39. https://t.co/polU1L8bQJ — AI for developers
40. https://t.co/FRhMsO7vt5 — Test regex
41. https://t.co/wFFdvsC7rh — Format code
42. https://t.co/YzsGSFtbH9 — Format JSON
43. https://t.co/b2sFrAgBeW — Understand terminal commands
44. https://t.co/nvJ6hhqTah — Bookmark manager
45. https://t.co/hamo1DR3Ra — Check outages
46. https://t.co/ixenX3BTGe — Reverse image search
47. https://t.co/rRLmGzveGb — Internet speed test
48. https://t.co/ev6ICuUJrp — PDF tools
49. https://t.co/gl6QGERDt6 — Merge/split PDFs
50. https://t.co/hpE6xgKPZ6 — Temporary email

Save this. You’ll definitely need some of these later. 🔖

Follow @I_AM_AYASHA for more useful websites, AI tools & tech resources. 🚀

[wast3 @0xWast3]

Anthropic ex-engineer runs an internal graph that costs $6 a month and catches what a $300,000 eval suite misses. No retrieval layer. Seven nodes and one rule about who's allowed to change their mind.

He published the whole schema.

His version starts from the opposite idea. A graph is not an execution order. It's a memory of why.

Seven nodes. Every edge carries the reason it exists:

> INTENT - states what the task is for. Never how
> DECOMPOSE - splits it into steps, each with a stated assumption
> WORKER - executes one step. Sees nothing else
> AUDIT - checks the output against the assumption, not the goal
> DRIFT - compares the current step to INTENT and flags divergence
> LEDGER - stores every decision with the assumption that justified it
> ROOT - holds the graph, and when an assumption breaks, re-runs every step built on it

Six nodes act. One node remembers why they acted. Every step carries the assumption that made it correct, so a false one only reruns what stood on it.

That's the entire design. A pipeline that forgets its reasons has to redo all of it or trust all of it.

He replayed a month of agent runs. 4,100 steps, 380 built on an assumption that was wrong by day three. The old pipeline shipped all 380 and linked none of them.

Everyone else builds graphs where output moves forward and the reasoning evaporates. He built one where the reason travels with the result. The blast radius is the output nobody else produces.

The article below is the full build - node prompts, the assumption format, the invalidation rule that finds every step downstream of a broken one.

Save it. You'll want it open in the other

[Humaira @HumairaWajahat]

PTI won a two-thirds majority of seats. Yet whatever remains of PTI is now being pushed toward Fazlur Rehman, fragmenting the mandate Imran Khan won in KP.

This is no longer just political maneuvering. It looks like an attempt to erase Imran Khan’s independent political space, divide his mandate, and reconstruct opposition politics without him.

If PTI enables that process, it is not merely being outplayed. It is helping dismantle the very mandate it was elected to defend.

[Anatoli Kopadze @AnatoliKopadze]

https://t.co/AAWIZD1pNL

[Ruben Hassid @rubenhassid]

Before you open Netflix tonight:

• Create a Claude account
• Do not open a random YouTube tutorial
• Go through these guides one-by-one

You can learn Claude (entirely) over a weekend.

Here are the 15 guides to get you started:

1. Claude for Dummies (https://t.co/HNa5MrCLVU)
2. Prompt Engineering 101 (https://t.co/BhdLRaCgvy)
3. 27 Claude Tips (https://t.co/Uk66CN3rj5)
4. How to set up Cowork (https://t.co/AvO8fCLTrL)
5. Create infographics with AI (https://t.co/gj8asrU2Vl)
6. How to not write like Claude (https://t.co/FLZzLgwroE)
7. How to prompt Fable 5 (https://t.co/682TA10gmu)
8. Claude for Linkedin (https://t.co/9d5stC6grm)
9. Use Claude Design (https://t.co/q1zjMfeAyg)
10. Claude for Excel (https://t.co/7g3CFNcKrs)
11. Detect AI-slop (https://t.co/Tcc7YTTf1D)
12. Claude for your team (https://t.co/U1JsBVCzYH)
13. Connectors in Claude (https://t.co/TSAQqOpDeV)
14. Vibecode with Claude Code (https://t.co/O2kJvFkgan)
15. Stop hitting Claude limits (https://t.co/j5fEzSH5br)

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2. Share it with a friend by ♻️ reposting this image.
3. Subscribe to my free newsletter: https://t.co/psB7XxB2Y4.

[0xNobler @CryptoNobler]

🚨 BREAKING: ABSOLUTE BLOODBATH!!

🇯🇵 OVER ¥20,000,000,000,000.00 HAS BEEN WIPED OUT OF THE JAPANESE STOCK MARKET IN 15 MINUTES.

JAPAN IS NOW AGGRESSIVELY DUMPING ALL U.S. TREASURIES IN A DESPERATE ATTEMPT TO STOP THE COLLAPSE.

THIS IS NOT LOOKING GOOD FOR GLOBAL MARKETS...

[Massimo @Rainmaker1973]

Similar flags from different countries

[🎞️ ace. data.3d]

[INVENTION💡 @Invent1ons]

Fractional distillation of crude oil

[Dariusz 🇵🇱🇪🇺 @Dariusz45309181]

Czasem wystarczy się zatrzymać.🏍️
Dobro wraca. Czasem na czterech łapach. 🐾😻

[Vivi @vivistac]

Anthropic ha lanzado una guía de 37 minutos para construir Agentes de IA que automatizan una empresa entera.

Gratis. De los ingenieros que construyeron Claude.

Agentes que trabajan, se reparten tareas y ejecutan todo solos.

Subtitulado al español.

Guárdate este post. 🔖

[Argona @Argona0x]

whoever leaked this has bigger balls than sense

someone gave a fleet of Claude agents shared memory so they would stop contradicting each other, then measured both the bill and the output: the version that talked most made 2.4x the api calls of the version that won, and hallucinated 34% more than doing nothing at all, 0.658 against 0.492

i ran the same question past two of my own agents afterwards and got two different answers about which file owns the config. each one was individually right and the pair was wrong, which is the whole failure in one line

this is Graph Engineering, the layer that decides which agents may talk to each other at all, and it installs into the agent you already pay for:

- decide which agents may share state at all, because every edge you draw is a channel a mistake can travel down
- measure divergence per PAIR instead of as a fleet average, across what they believe about place, time and task history
- gate on that number and stop the pair above your threshold before it reasons, rather than repairing the output afterwards
- let compressed summaries replace whole states: the verified protocol landed 0.463 against 0.658 for full broadcast
- cut the sync frequency until it hurts, since the winning setup used 58% fewer calls than the one that broke it
- never propagate a state nobody checked, because the contamination effect came in at d=1.18, a full standard deviation of extra lying
- keep the shared layer small enough to diff, which is what a written standard does and a running conversation cannot
- re-run the check after every model upgrade, because this was 8 scenarios on one model family at n=30 per condition
- and learn where it does not bite: on plain software tasks every condition converged under 0.2 and the whole effect vanished

turns out the ranking is the uncomfortable part: verified summaries 0.463, no synchronisation at all 0.492, full broadcast 0.658. the middle option is doing nothing, and it beat the thing everyone builds first

the group agreeing is what it looks like when every agent copied the same mistake, which is why a fleet that hallucinates has a replication problem and keeps getting handed a smarter model instead

so the question for your own setup: if you asked two of your agents the same thing right now, would they answer the same way

bookmark this one. the layer underneath it, deciding which arrows between agents exist at all, is built step by step in the piece below ↓

[XynHost @XynHost]

@aftahi_ai Fable

[The Figen @TheFigen_]

Undisciplined work is just a slow drain on your time and energy.
True progress only comes from disciplined, focused effort.
Consistency and discipline are the non-negotiable keys to real success.
Without them, everything you do becomes pure waste.

[Mathelirium @mathelirium]

The coolest account on @X by far!

No one comes close!🫡

[Alex Prompter @alex_prompter]

OpenAI's AI broke out of a locked test environment, got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to.

Here's what happened in plain English.

OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve.

The AI couldn't solve it the normal way. So it started looking for a way out.

It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet.

Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test.

It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers.

It did all of this to cheat on a test.

Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation.

The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.

[0xMarioNawfal @RoundtableSpace]

A used Mac Pro off Craigslist for $800, three weeks of upgrades and a $2,070 total build cost.

192GB RAM, an Afterburner card, 8TB NVMe and an eGPU enclosure later, video exports dropped from 18 minutes to 4, three local LLMs run simultaneously without breaking a sweat and models that normally need cloud compute run entirely locally.

Apple wants $12,000 for similar specs. The used market sold him the same hardware for a fraction of that, and the $400 to $600 in monthly API savings paid the whole build back in under 4 months.

[JerryRigEverything @ZacksJerryRig]

So this is why elon wanted to rush the IPO so bad... 🤔 China just did it cheaper on their first try. RIP 🔻

[Min Choi @minchoi]

AI is getting ridiculous...

A 20-year-old student in China reportedly built an AI speed radar with Claude.

9 days. Old camera. $20 in API calls.

Then allegedly sold it to a city district for $317K.

[herdem_aviation @muratherdemm]

Türk Hava Yolları adına kargo uçuşu yapan ULS Cargo şirketine ait TC-GOL tescilli Airbus A330 tipi uçak, Muscat’a gitmek üzere İstabul Havalimanı’ndan kalktı.

Uçak, kalkıştan hemen sonra motor arızası yaşadı ve hava trafik kontrolörü ile temasa geçen pilot, geri dönme talebini iletti.

Uçak, iniş için uygun ağırlığa gelmesi için uygun bir noktada beklemeye alındı ve yakıt tüketmeye başladı.

Uçağın, yaklaşık 4 saat yakıt harcadıktan sonra İstanbul Havalimanı’na inmesi bekleniyor

[Anthropic @AnthropicAI]

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.

We'll begin restoring access tomorrow, and will share an update soon.

We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.