BDM💡⬛️💡🟩💡🟫

Tech enthusiast 🚀, app & software designer 💻, content creator 🎨. Sharing insights on technology and innovation. #TechInnovation #GPtopia #curation

[Leaders 𝕏 Junction @LeadersJunction]

The fastest way to attract something 🤯

[Pulse Nigeria @PulseNigeria247]

Meet the Nigerian students who went viral from sharing hostel balcony dance videos with funny captions. 😅🔥

Their energy and choreography >>>>

[Mastery Mindset @_masterymindset]

This dude literally revealed how to manifest things into reality‼️‼️

[Waken Minds 𓂀 @wakenminds]

"you need a degree to build a house"

Men without degrees 500 years ago:

[Today in History @TodayinHistory]

Construction of Medieval Castles still blows my mind.

For example, here’s Bamburgh Castle in England from the 11th century!

[طارق تيكز TariQ @TariqTechs]

هذا الجوال بيكسر الدنيا💥

جوال من تكنو TECNO تركب عليه قطع بلا نهاية🤯
عن طريق المغناطيس من الخلف!
راوتر، كاميرا، بطارية، أو قطع أخرى! رهيبه الفكرة.

[ben @contraben]

Introducing Contra Payments.

The first payments platform that lets you sell to AI Agents.

RT + Comment “Contra” and I’ll send you 100 products AI agents are looking for.

[ℤ𝔼ℕ ⚡️ the innovator 💡 @ThisIsMeIn360VR]

Mr. NLP 🗣
Explains 🧠
Neuro Linguistic Programming
& Cognitive Exploits

[Grace Gym🏋️‍♀️ @GraceGym_]

If I had known that banana peel with cloves cures so many illnesses, I would have never thrown it away 😱
Watch this 👍

[Marshall Richards @marshallrichrds]

I gave ClawPhone a phone number so it could start texting people and turned it into an appointment scheduler.

Agent-controlled hardware is definitely the future.

[𝗡𝗢𝗠𝗘♠️♠️ @CRT_femme]

Grab a book and a pen

Study

Full course

[Lex Fridman @lexfridman]

Here's my conversation all about AI in 2026, including technical breakthroughs, scaling laws, closed & open LLMs, programming & dev tooling (Claude Code, Cursor, etc), China vs US competition, training pipeline details (pre-, mid-, post-training), rapid evolution of LLMs, work culture, diffusion, robotics, tool use, compute (GPUs, TPUs, clusters), continual learning, long context, AGI timelines (including how stuff might go wrong), advice for beginners, education, a LOT of discussion about the future, and other topics.

It's a great honor and pleasure for me to be able to do this kind of episode with two of my favorite people in the AI community:
1. Sebastian Raschka (@rasbt)
2. Nathan Lambert (@natolambert)

They are both widely-respected machine learning researchers & engineers who also happen to be great communicators, educators, writers, and X posters.

This was a whirlwind conversation: everything from the super-technical to the super-fun.

It's here on X in full and is up everywhere else (see comment).

Timestamps:
0:00 - Introduction
1:57 - China vs US: Who wins the AI race?
10:38 - ChatGPT vs Claude vs Gemini vs Grok: Who is winning?
21:38 - Best AI for coding
28:29 - Open Source vs Closed Source LLMs
40:08 - Transformers: Evolution of LLMs since 2019
48:05 - AI Scaling Laws: Are they dead or still holding?
1:04:12 - How AI is trained: Pre-training, Mid-training, and Post-training
1:37:18 - Post-training explained: Exciting new research directions in LLMs
1:58:11 - Advice for beginners on how to get into AI development & research
2:21:03 - Work culture in AI (72+ hour weeks)
2:24:49 - Silicon Valley bubble
2:28:46 - Text diffusion models and other new research directions
2:34:28 - Tool use
2:38:44 - Continual learning
2:44:06 - Long context
2:50:21 - Robotics
2:59:31 - Timeline to AGI
3:06:47 - Will AI replace programmers?
3:25:18 - Is the dream of AGI dying?
3:32:07 - How AI will make money?
3:36:29 - Big acquisitions in 2026
3:41:01 - Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta
3:53:35 - Manhattan Project for AI
4:00:10 - Future of NVIDIA, GPUs, and AI compute clusters
4:08:15 - Future of human civilization

[Every Movie Plug @everymovieplug]

Top 50 Detective Movies of All Time 🕵🏻‍♂️

1. Se7en (1995)

2. Chinatown (1974)

3. The Silence of the Lambs (1991)

4. L.A. Confidential (1997)

5. Zodiac (2007)

6. The Big Sleep (1946)

7. Memento (2000)

8. Prisoners (2013)

9. Gone Girl (2014)

10. Blade Runner (1982)

11. The Third Man (1949)

12. Memories of Murder (2003)

13. The Girl with the Dragon Tattoo (2011)

14. Knives Out (2019)

15. Shutter Island (2010)

16. Mystic River (2003)

17. The Maltese Falcon (1941)

18. Heat (1995)

19. Insomnia (2002)

20. The French Connection (1971)

21. Brick (2005)

22. Cure (1997)

23. The Usual Suspects (1995)

24. The Nice Guys (2016)

25. Sherlock Holmes (2009)

26. Tinker Tailor Soldier Spy (2011)

27. Angel Heart (1987)

28. Decision to Leave (2022)

29. Wind River (2017)

30. The Long Goodbye (1973)

31. Blue Velvet (1986)

32. Identity (2003)

33. Klute (1971)

34. Bad Times at the El Royale (2018)

35. The Departed (2006)

36. No Country for Old Men (2007)

37. The Pledge (2001)

38. Gosford Park (2001)

39. Mother (2009)

40. The Night of the Hunter (1955)

41. Fargo (1996)

42. Vertigo (1958)

43. Red Dragon (2002)

44. The Bone Collector (1999)

45. A Walk Among the Tombstones (2014)

46. The Taking of Pelham One Two Three (1974)

47. Manhunter (1986)

48. Body Heat (1981)

49. The Kid Detective (2020)

50. Memories of Murder (2003) (so good it deserves the repeat energy)

[Angry Tom @AngryTomtweets]

KYC Video Verification is officially dead

[The Sigma Mindset @thesigmamindset]

The "Isn't it wonderful" technique by Neville Goddard

[redpillbot @redpillb0t]

Masonic 33rd Degree Lecture on Energy Manipulation