RT @gurensmahiru: Ur welcome I rlly enjoy critical analysis of things I like ^^ it’s probably why I like historical literature so much http…

Analysis rich with details about the Lebanese-Israeli negotiations concerning a ceasefire and "pilot zones" that would allow the return of Lebanese to now-occupied towns & villages daraj.media/en/between-jezzi… by @dianamoukalled

AI Research Intern – Lexsi Labs Commitment: Full-time internship (6 months; potential extension or full-time offer) Start Date: Rolling About Lexsi Labs Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable and safe Superintelligence. Most of the work involves on creating new methodologies for efficient alignment, interpretability lead-strategies and tabular foundational model research. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At Lexsi.ai, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As a research intern at Lexsi.ai, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. What You’ll Do We work on multiple frontier research ideas and challenges. If you are selected, you would be working on one of these following areas. Collaborate closely with our research and engineering teams on one of the areas: Library Development: Architect and enhance open-source Python tooling for alignment, explainability, model alginment, uncertainty quantification, robustness, and machine unlearning Explainability & Trust: Improve and find new observations using our and other SOTA XAI techniques (DLB, LRP, SHAP, Grad-CAM, Backtrace) across text, image, and tabular modalities to understand and present new model interpretability. Mechanistic Interpretability: Probe internal model representations and circuits—using activation patching, feature visualization, and related methods—to diagnose failure modes and emergent behaviors. Uncertainty & Risk: Develop, implement, and benchmark uncertainty estimation methods (Bayesian approaches, ensembles, test-time augmentation) alongside robustness metrics for foundation models. Tabular Foundational Models (Orion): Work with our leading Tabular Foundational Model team to improve and launch new tabular foundational model architectures and work on our leading opesource library TabTune. Reinforcement Learning: Explore new ideas and algorithm around RL and our new RL fine-tuning library. Research Contributions: Author and maintain experiment code, run systematic studies, and co-author whitepapers or conference submissions. General Required Qualifications Strong Python expertise: writing clean, modular, and testable code. Theoretical foundations: deep understanding of machine learning and deep learning principles with hands-on experience with PyTorch. Transformer architectures & fundamentals: comprehensive knowledge of attention mechanisms, positional encodings, tokenization and training objectives in BERT, GPT, LLaMA, T5, MOE, Mamba, etc. Version control & CI/CD: Git workflows, packaging, documentation, and collaborative development practices. Collaborative mindset: excellent communication, peer code reviews, and agile teamwork. Preferred Domain Expertise (Any one of these is good) : Explainability: applied experience with XAI methods such as DLB, SHAP, LIME, IG, LRP, DL-Bactrace or Grad-CAM. Mechanistic interpretability: familiarity with circuit analysis, activation patching, and feature visualization for neural network introspection. Uncertainty estimation: hands-on with Bayesian techniques, ensembles, or test-time augmentation. Quantization & pruning: applying model compression to optimize size, latency, and memory footprint. LLM Alignment techniques: crafting and evaluating few-shot, zero-shot, and chain-of-thought prompts; experience with RLHF workflows, reward modeling, and human-in-the-loop fine-tuning. Tabular Foundational Models: Should have used or improved TFMs like Orion, TabPFN, TabICL etc Post-training adaptation & fine-tuning: practical work with full-model fine-tuning and parameter-efficient methods (LoRA, adapters), instruction tuning, knowledge distillation, and domain-specialization. Additional Experience (Nice-to-Have) Publications: contributions to CVPR, ICLR, ICML, KDD, WWW, WACV, NeurIPS, ACL, NAACL, EMNLP, IJCAI or equivalent research experience. Open-source contributions: prior work on AI/ML libraries or tooling. Domain exposure: risk-sensitive applications in finance, healthcare, or similar fields. Performance optimization: familiarity with large-scale training infrastructures. What We Offer Real-world impact: address high-stakes AI challenges in regulated industries. Compute resources: access to GPUs, cloud credits, and proprietary models. Competitive stipend: with potential for full-time conversion. Authorship opportunities: co-authorship on papers, technical reports, and conference submissions. apply:app.screenloop.com/careers/a…

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เอาจริงหุ้นต้นน้ำอาจจะไม่ได้หายากเลย เเค่เข้าไปในเว็บสักเว็บนึงเช่น SeekingAlpha หรือ Stock Analysis เเล้วจิ้มกลุ่มที่เป็นคอขวดหรืออาจจะเป็นในอนาคนอันใกล้ เช่น Semiconductor หรือ Electronic component เเล้วก็ไปนั่งไล่ดูตัว m.cap ล่างๆต่ำกว่า 5-10B สนใจตัวไหนก็เอาไปศึกษาต่อ 📖 . เเต่…เเต่… สิ่งสำคัญสุดๆในการลงทุนคือ Timing ตอนนี้หุ้นอเมริกาเเม่งเเพงทั้งตลาด ต่อให้ผมหาหุ้นเทพๆต้นน้ำเจอก่อนชาวบ้าน เเต่ถ้าตลาด Nasdaq มันเกิดถล่มขึ้นมา หุ้นพวกนั้นก็ร่วงโรยไม่ต่างจากฤดูใบไม้ร่วง 🍁🍂🫡 . คือถ้ามองว่าอะไรถูกสุดก็คงจะเป็นคริปโตที่คนเลิกสนใจละ ปัญหาของตลาดนั้นคือมันไร้ซึ่ง “นวัตกรรม” ตัวชูโรงจริงๆมีเเค่ 3 อย่างหลักๆ คือ Tokenization, Perp Dex, Prediction Market ส่วนคริปโตอื่นๆก็เรียกว่านอนกองรากมะม่วง ถ้าในมุมนักลงทุนมันก็อาจจะเป็นโอกาสเก็บที่ดีมากๆ เเต่ก็คิดไม่ออกเหมือนกันว่าอะไรจะทำให้มันกลับมา ถ้าจะเก็บก็ Bitcoin เหรียญเดียวพอ อย่าคิดเยอะๆ . ความจริงที่น่าเศร้าคือ คริปโตเป็น Self Custody ต้องเก็บเอง ซึ่งคนทั่วไปเขาไม่เก็ตไง ยุ่งยาก มีโอกาสทำหาย ซื้อหุ้นคือคุณไม่ต้องกลัวหุ้นคุณหาย 555 สารภาพเลยว่าตอนผมไปเที่ยวจีนผมยังกลัวคริปโตใน Bitget หายเลย ไม่เเน่อยู่ในห้องพักเเล้วมีซ่อนกล้อง เห็นรหัสผ่านอะไรเเบบนี้รึเปล่า คริปโตเเม่งขโมยกันเป็นว่าเล่น ถ้าไม่เก็บเองใน Hardware Wallet ไม่มีคำว่าปลอดภัย เอาจริงๆเก็บเองยังกลัวหายเลย ไม่ดู 1 ปี เปิดเครื่องมาหายทำไง 555 เเต่ก็ไม่ได้ Yield เเน่ๆละ ต่างจากหุ้นที่จ่ายปันผลตลอด . ถ้าถามว่าคริปโตเป็นโอกาสไหม ต้องตอบตัวเอง เพราะมันก็อาจจะใช่ เเละอาจจะไม่ใช่ 🤔💭 ส่วนหุ้นเมกาคือเเพงมากละ เราอาจจะกำลังอยู่ในฟองสบู่ เเต่เเพงเเล้วมันก็เเพงได้อีกไง นี่ละเกมการลงทุน จะได้กำไรก็ต้องเล่นกับสบู่ เล่นกับ Flow เงินว่ามันไหลไปตลาดไหนเราก็ต้องวิ่งตาม อย่าว่ายทวนน้ำ 🌊

The AveaiGlobal upgrade simplifies cross-chain swaps and market trend analysis.

Smart analysis Zayn 👀. $0.50 holding as support is key ( retest bounce with volume would look constructive for longs). True yhat fakeout risk is real after that quick run & dump earlier.

I humbly disagree, based on all the analysis and the rhetoric coming from oil companies. It feels like suppressing oil prices and reserves could actually be part of BigOil's plan, and now they are positioned exactly where they want to be. In the end, investing and corporate strategies are long-term goals; Big Oil wouldn't gain much from the short term. A longer, more controlled period is definitely a win for them, and it's the only scenario that makes sense right now. he Rockefeller legacy is still alive and well today.

Analysis is base on figure Fact Structure Politics isn’t 1 1 Bookmark like I said Come back by January

Great analysis

You don't even need anatomical analysis to see it 🤣

The “Heated Rivalry” soundtrack has been the subject of exhaustive analysis among fans and the show’s success has relaunched bands into renewed stardom. Musicians are now clamoring to be featured in the next season, according to the show’s creator, Jacob Tierney. Take a peek behind the sonic curtain of the queer hockey phenomenon, though an interview-style comic with Tierney. Read Zoe Si’s full comic: newyorkercartoons.visitlink.…

Data analysis code

"Teams evolving their play are doing it because striker no dey" is the most honest football analysis on this app 😂

Signal analysis 2026-06-12 12:55 UTC — BUY XAUUSD @ 4189, SL 4169, TP 150/200/300 pip. Full breakdown:

Spot on analysis by Pat Nevin on Scotland’s 1-0 win v Haiti. A win is a win, but Scotland must pivot back to 4-5-1 after that performance. 4-4-2 doesn’t work. They were overrun in midfield.

Global antitrust scrutiny intensifies for AI infrastructure giants. Is $NVDA facing potential structural relief akin to $AMZN & $GOOG cases? Read our definitive analysis here: post.kapualabs.com/2p8eb88c ⚖️ #Antitrust #AI #Tech

hey! here's what i'm seeing on $HUSDT #HUSDT 1h right now 🚦 - expecting price to RISE further, bullish bias remains strong above 0.6087 - first target: 0.63705 (liquidity zone), then 0.7002, and if momentum continues, 0.85345 next - ideal long entry: on a pullback into 0.54527–0.55864 (demand FVG zone), watch for bullish engulfing or reversal wick as confirmation - take-profit at 0.63705, partials at 0.7002, leave runner for 0.85345 if breakout is strong - bias flips bearish only if 0.54527 is broken with momentum—then expect deeper move toward 0.42956 or even 0.34923 - not investment advice, educational report only 📊 Need more detailed analysis, trade signals? Try Finora AI Telegram Bot for free - t.me/FinoraEN_Bot

🚀 5 AI Skills You Should Learn in 2026 1️⃣ Prompt Engineering 2️⃣ AI Coding 3️⃣ Data Analysis 4️⃣ Machine Learning Basics 5️⃣ AI Tools & Creativity The future belongs to those who learn, adapt, and build with AI. Which skill are you learning right now? #AI_Art. @RajJohanpkid

Oui suffit d'utiliser le sentiment analysis avec un post pour expliquer L'ALGORITHME de gover quantique et..... le développement durable et l'ia en partant des cas d'usage comme la médaille fields en ouvrant les perspectives