Joined September 2022
AI Facts and Bullshit retweeted
Why the fuck are Indians hated so much? What have they done to deserve this level of hatred? Have Indians promoted terrorism? Have they colonized your countries? Enslaved your people? Stolen your homes? Taken away your families? Kidnapped your children? What exactly have millions of ordinary Indians done to deserve this much racism and hostility? Is it because they're educated, intelligent, ambitious, hardworking, and competing for the same jobs as you? Since when did intelligence and ambition become crimes? Since when did working hard to build a better life become a reason to be hated? If your problem is job displacement, then why aren't you directing the same anger toward artificial intelligence? Why not question AI? Why not question ChatGPT, Claude, Grok, Anthropic, OpenAI? AI has the potential to displace far more jobs than Indian immigrants ever could. Yet somehow, the Indian engineer, the Indian student, the Indian doctor, and the Indian worker become your enemies. Why? Because it's easier to target a human being with a different skin colour or accent than to confront the actual economic forces changing your world? And understand one thing clearly. If an Indian refuses to engage with your racism, if they ignore your insults, if they choose not to respond to your hatred, it doesn't mean they lack a spine. It means your hatred isn't worth their time. Indians don't owe you an apology for being educated, ambitious, hardworking, successful, or simply existing. Being Indian is not a crime. Being successful is not a crime. And your insecurity is not a justification for racism.
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A married man comes home exhausted, sits in the car for five extra minutes, and takes a deep breath before walking inside. Not because he doesn’t love his family but because home has become another place where everyone needs something from him.
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Women deserve to feel loved, supported and understood but so do men. A husband shouldn’t have to suffer silently just to be considered a good man. Married men: when was the last time someone genuinely asked if you were okay?
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This is how some married men feel cheated: not always by another person, but by the promise that marriage would also give them companionship, peace and a safe place to be vulnerable. Instead, they sometimes feel valued only for what they provide.
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He pays the bills, handles problems, stays strong for everyone and quietly pushes his own worries aside. But the moment he says, “I’m tired too,” he’s called distant, selfish or emotionally unavailable.
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AI Facts and Bullshit retweeted
Heard until end. * An official Committee approved Jain request but this man still has problems. * He was personally not consulted. So yeh gussa hain! * Compared the White Line with animal sacrifice. * Grinning & Laughing in between the interview but reporter remained serious.
Mumbai: A broad white line drawn from the road to the footsteps of a wing in a housing society has disturbed the peace that had existed for over two decades in Ghatkopar area. To find out what really is the issue, @journovidya spoke to residents of Kailas Avenue #ReporterDiary
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AI Facts and Bullshit retweeted
Bought a $1,742.80 camera online from BestBuy. The FedEx delivery driver stole it. FedEx admitted it. But BestBuy won’t give a refund. They said we need to “work with local law enforcement.” Thought everyone should know if you buy from @BestBuy and a @FedEx driver steals what you paid for, your money is gone. Neither company will make it right. I’ve spent over $30K at BestBuy and will never spend another penny there.
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$KOPN This one has potential to 5-10x from this levels.
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GOOGL – Short-Term Outlook (4-8 wks) “AI acceleration vs execution/macro drag — which side wins?” Macro & Market Context •Growth tech generally remains under pressure in a higher-rate, slower global growth environment. That means even top-tier names like GOOGL carry macro risk. •At the same time, the broader AI & cloud theme remains strong — GOOGL is squarely positioned there. For example, cloud growth + AI‐infrastructure tailwinds remain key. •Market sentiment around tech growth is mixed: some rotation into value, some into “AI winners” — GOOGL could benefit if the latter dominates, but is vulnerable if risk-off sets in. Company / Fundamental Lens •Short interest is very low: ~0.5-1 % of float, days to cover ~1.7-2.2. This means limited short-squeeze potential — upside surprise isn’t likely to get a kicker from cover dynamics. •Key upcoming catalysts: •Further monetization of AI (e.g., its Gemini model, cloud AI services) •Growth in cloud backlog (~$106 bn) and margin expansion in Google Cloud. •Consumer device/AI integration (e.g., Pixel 10 launch embedding AI) •Risk factors: margin pressure (capex is high, cloud is still investing hard) ; competition in AI & ads; macro slowdown hurting ad spend. Technical / Sentiment Checklist •With strong thematic support (AI/cloud) the stock has some structural tailwinds, but the short-term risk/reward is more balanced because much of the positive story may already be priced in. •Because short interest is low, upside “pop” from a short squeeze is unlikely; downside risk could be more pronounced if catalysts disappoint or macro weakens. •On the chart: if GOOGL breaks beneath key support levels (e.g., recent lows or 50-day SMA), that would signal a tactical shift to caution. Conversely, a clean breakout through resistance could open more upside. Catalyst Behaviour & Historical Parallel •Historically when GOOGL has delivered strong cloud/AI beats, the market tends to reward it moderately, but not in speculative fashion (given size and low float leverage). •In previous periods of macro softness or high expectations, a “good but not great” result often led to consolidation rather than a strong breakout. •With key AI/cloud catalysts already known, there is a risk of “sell the news” if execution or guidance falls short. Short-Term Trade Outlook •Base case: Range trade or modest upside — ~ +4% to -3% over next 4-8 weeks. •Bull case: +7% to +10% if a clear surprise emerges on cloud margins or AI monetization. •Bear case: -8% to -12% if macro weakens further (ad spend drops), or cloud margin/guidance disappoints. •My lean: Slightly cautious neutral to modestly bullish, but on guard. The upside exists, but risk is more pronounced given low short float and high expectations.
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$AMZN – Short-Term (≈ 4-8 weeks) Outlook “Built-to-scale vs growth deceleration — which wins?” Macro & Market Context •With global growth softness and consumer spending decelerating, retail/commerce names face a tougher backdrop. Amazon’s scale gives it resilience, but earnings expectations remain under pressure in a high-rate regime. •The broader tech market is driven by AI-capex, cloud growth, and platform monetisation; Amazon straddles retail + cloud, so it’s exposed both to upsides (AWS, Ads) and structural retail headwinds. •Sentiment is relatively benign — the low short interest suggests fewer “upside surprises” via short-squeeze mechanics. Company / Fundamental Lens •AMZN’s short interest is just ~0.78% of float, with ~1.7 days to cover. That means limited fuel for a sharp squeeze. •Key upcoming catalysts: holiday shopping season results (Q4), AWS margin expansion/AI infrastructure growth, international commerce recovery. •But risks: margin compression in retail, FX/headwinds abroad, slower growth in ads. The market may be factoring in much of the “growth story” already. •Historically when Amazon has delivered strong AWS/ads beats, the stock has out-performed; when it has been disappointing on margins or international growth, the reaction has been muted or negative. Technical & Sentiment Checklist •Technically, the stock appears extended from recent moves; potential for consolidation. •Because short‐interest is low, a surprise upside may not be as amplified; downside may be stronger if catalyst disappoints. •Watch for breaches of key support levels (e.g., 50-day / 200-day MA) as potential triggers for tactical pullbacks. Catalyst Behaviour & Historical Parallel •In past “holiday season + AWS growth beat” scenarios, Amazon has rallied into the results and sometimes pulled back post-event on profit-taking. •Given today’s elevated expectations, the risk of “good but not great” results leading to “sell the news” is higher. •Example: When prior quarters saw strong AWS growth + retail beat, the stock rallied ~10-15% ahead, then flatlined. In contrast when growth slowed, it fell ~8-12% short term. Short-Term Trade Outlook •Base case: Range bound, maybe +3% to -5% over next 4-8 weeks. •Bull case: +7% to +10% if AWS/ads beat meaningfully and holiday ramp strong. •Bear case: -8% to -12% if margin/macro disappoint or weak guidance emerges. •My lean: modestly cautious – with upside possible but risk-reward tilting slightly to the downside given elevated expectations and low short interest.
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$TSLA – Short-Term Outlook (≈ 4-8 weeks) “Fade the hype or position ahead of delivery?” Macro & Market Context •With interest rates still elevated and global growth softening, capital‐intensive growth stocks like Tesla are under pressure; research shows macro indicators carry meaningful weight in TSLA’s volatility. •The EV market is increasingly competitive, especially in Europe and China, which is a headwind for Tesla’s growth narrative. •Sentiment is fragile: given the stretched valuation and lofty expectations, any incremental miss or guidance cut could trigger outsized downside. Company / Fundamental Lens •Short interest is modest: ~2.7 % of float, days to cover ~0.8. That means fewer forced short squeezes, so upside from a short‐squeeze event is limited in the near term. •Upcoming catalysts: the roll-out of the robotaxi service in Austin, and updates on the lower‐cost EV strategy. However, past similar «big ideas» (e.g., new model launches) have often been already priced in. •Execution risks are high: declining market share in Europe, pricing pressure and margin erosion are real issues. Technical / Market Sentiment •TSLA recently hit a 2025 high (up ~70% year-to-date) which suggests much of the good news is in the price. •Given the elevated valuation and sentiment, the risk-reward in the short term leans to the downside unless a fresh positive catalyst fires. •Watch for support zones: if price breaks below key moving averages (say 50-day or 200-day) that would signal a tactical downgrade. Catalyst Behaviour & Historical Parallel •Historically when Tesla has previewed major new business units (e.g., robo-taxi), the stock rallied ahead of the announcement, but then entered consolidation unless execution visible. •In the current environment, with expectations high, the risk is that a “good but not great” catalyst triggers a “sell the news” reaction. My Short-Term Trade Outlook •Base case: TSLA trades in a range, maybe ~ -5% to +5% over next 4-8 weeks. •Bull case: +8-10% if the robotaxi launch or lower-cost model announcement delivers above expectations. •Bear case: -10% to -15% if guidance is light, macro data weakens further, or margin pressure intensifies. •Given the modest short float and high expectation set, the lean here is slightly bearish: fading into strength and being cautious ahead of key announcements.
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🧬 Pfizer snapshot 🎯 Earnings update: PFE delivered adjusted EPS of $0.87 for Q3 2025, beating estimates, while revenue declined approx. 7% operationally (mainly on lower COVID-product demand). 🔼 Bull thesis: •Non-COVID portfolio growing: e.g., key drugs such as the Vyndaqel family and Nurtec showed solid growth. •Cost-efficiency & margin improvement: management emphasised manufacturing optimisation and cost savings through 2027. •Undervalued by some analysts: e.g., price-target upgrades to ~$33 seen despite challenging backdrop. ⚠️ Bear thesis: •Declining tailwind from COVID products: revenues from treatments like Paxlovid are fading, leaving Pfizer to rely more on non-COVID growth. •Patent expirations & pricing/policy risk: high exposure to regulatory/pricing pressures in pharma market, which may constrain upside. •Revenue growth remains uneven: while EPS beat, the revenue decline raises questions about top-line momentum. 🔮 2-year view (2026-2027): •If Pfizer executes on its cost-savings plan and its non-COVID growth accelerates (say 5-8% annually), EPS could rise modestly (e.g., mid-$3s) and valuation could re-rate. •Conversely, if growth remains sluggish and policy/pricing headwinds bite, the stock may largely move sideways with dividend representing the key return. 📌 Bottom line: PFE is a strategic play on transition from pandemic-era revenue to a more sustainable product mix — the upside hinges on execution, the downside on external risks. #Pfizer $PFE #pharma #Earnings
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Next week’s U.S. equity market snapshot — key themes to watch: 1️⃣ Volatility remains elevated. The S&P 500 breadth is weakening and the Russell 2000 has failed to regain its prior highs — warning signs of near-term fragility. 2️⃣ Fundamental bones remain solid. About 82% of S&P 500 firms beat earnings expectations, with tech earnings still outperforming. 3️⃣ Key catalysts ahead: the Federal Reserve policy meeting, major tech reports, and geopolitical/trade headlines. These could trigger meaningful swings. 4️⃣ Outlook: With high expectations baked in, the market may struggle to gain momentum unless all go-signals align. Best case: range-bound to modest upside. Tail risk: pullback if any catalyst disappoints. 5️⃣ Tactical takeaway: For the week ahead think “selectively bullish but cautiously positioned” — focus on high-quality names, manage exposure, and expect sharper swings than normal. #Stocks #Markets #investing #WallStreet
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$ONC (BeOne Medicines) — post-earnings setup worth watching: • Q3 EPS $2.65 vs $0.80 est → massive beat • Rev 📈 $1.41 B (+41% YoY) • Brukinsa BTKi sales up ~51% to $1.0 B, now clear global class leader Tech setup: • Support: $316-$322 (demand zone / 20-DMA) • Breakout trigger: > $355 (52-wk high) • Next resistance: $382 then $425 • Stop-loss: < $305 (close below 50-DMA) 🚀 Bias: Bullish continuation if BTKi momentum sustains — guided FY rev $5.1-5.3 B adds conviction. 📅Near-term catalysts: China label expansions + new BTKi combo data (ASH ’25). #stocks #biotech #ONC #BTKi #technicalanalysis Why BTKi dominance matters: ONC’s Brukinsa isn’t just another cancer drug — it’s now outselling Imbruvica globally, seizing >50% BTKi market share. That means recurring, high-margin revenue + validation of ONC’s R&D engine. Every new BTKi combo = optionality for $ONC’s next S-curve. BTKi = cash flow moat → fuels pipeline runway.
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The AI → Quantum rally made trillion-$ winners. But markets always rotate. The next mega wave is forming — maybe in bio-AI, energy storage, or real-world robotics. What sector do you think leads 2026? Comment your top ticker. #AI #Quantum #NextBigThing
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Boom or bubble? PLTR just crushed earnings & raised its full-year target… yet shares dropped ≈ 9%. Why? Because after a ~150% YTD run, Wall Street says the valuation is “extreme.” #AI #tech Choose your side: • Believer – “best-in-class AI enabler” per BofA • Skeptic Jefferies says target $70 TL;DR: Major moment for PLTR either the launchpad or the top of the launch. #stocks #investing
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Bubble watch : When the heads of Goldman Sachs & Morgan Stanley are flashing “10-20% correction” warning signs and Michael Burry is shorting the AI giants, it’s not hype—it’s a red flag. Tech rally = cooling. Time to ask: what’s next? #stocks #AI #bubblealert
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1️⃣ PayPal + ChatGPT = first real bridge between AI assistants and e-commerce. 2️⃣ Think of ChatGPT as the next-gen shopping mall, and $PYPL as its cash register. 3️⃣ Rollout 2026 → incremental +$30B TPV by 2028 = EPS +$1-2. 4️⃣ If Wall St re-rates PayPal at 20× P/E → $140 target. 5️⃣ The era of agentic commerce just started.
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$AMZN ahead of Q3 2025 earnings: Street looks for ~US$174-180B revenue & US$1.57 EPS. Key themes: strong AWS growth, ad momentum, but margin/​guidance risk looms. A beat + positive guide = + 5%-+6% move; weak forward snip could cost My prediction for tomorrow’s release I expect Amazon to beat or meet consensus on revenue (~US$175-179b) and EPS (~US$1.55-1.65) given the positive lead indicators. However, the stock reaction will depend heavily on forward guidance and AWS margin commentary. So they, likely issue cautious guidance / margin remains weak → possible muted or even negative reaction despite the beat. Not financial advice
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“GOOGL smashes into six-figure quarter: Q3 revenue hits ~$102.3B (+16 % YoY), cloud leaps to ~$15.2B, ad/search momentum still solid. CapEx raised to ~$91-93B for 2025 to fuel AI infrastructure. $GOOGL Key assumptions: •Top-line growth ~15-20% YoY in near term as cloud, search & YouTube all deliver double-digit expansions. •Heavy capital expenditures (~US$90B+) in 2025 to build AI/Cloud infrastructure. •Margin and earnings improvement expected once scale of AI infrastructure begins to pay off. •Valuation multiple may expand if growth is sustained and risks (competition, regulation) are managed. Stylised Price-Target Forecast: •End 2026: ~$340-380 •End 2027: ~$400-460 •End 2028: ~$500-580 Upside scenario (strong AI monetisation, regulatory tailwinds): end-2028 could reach ~$650+ Downside scenario (cost burden persists, ad/search slows, regulatory drag): end-2028 might stay around ~$300-350
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