Channels

Top 100 Trending New

Categories

Crypto Gaming News Entertainment Music Sports Tech Gambling Bots and mini apps Finance Business Education Lifestyle Health Travel Auto Fashion Jobs Dating Deals and shopping

Stickers

Stickers Emoji Themes Wallpapers

Bots Gifts Tools

Currency

$ USD ₽ RUB € EUR ₴ UAH ₸ KZT ₺ TRY zł PLN ₪ ILS AED AED R$ BRL Rp IDR RM MYR ¥ JPY ₩ KRW CN¥ CNY

Theme

Português (Brasil)

Bahasa Indonesia

Беларуская

Українська

Channels Categories Stickers Bots Gifts Tools

Premium Wiki Glossary Legal

Notifications Settings Log in

Crypto AI/AGI/ASI: post #2883 — TG.ME

Crypto AI/AGI/ASI@cryptoAIAGI · 1.1M subscribers Open in TelegramOpen

t.me/cryptoAIAGI/2883

September 5, 2026 64

More from this channel

[media post] 92·Sep 5 🔍 MYTH BUSTER: 5 Myths About AI Regulation That Miss the Point Stop falling for these. Here's what's actually happening with AI regulation while you're debating it on Twitter. ❌ MYTH: Regulating AI will kill innovation completely ✅ REALITY: Regulation creates market certainty, which investors love. Look at the EU AI Act—companies aren't fleeing Europe, they're hiring compliance teams. Meanwhile, unregulated AI markets create legal chaos that kills *planned* innovation faster than any rulebook. The real innovation killer? Lawsuits and sudden bans, not predictable frameworks. ❌ MYTH: The EU AI Act will ban most AI applications ✅ REALITY: The Act has risk tiers. High-risk AI (biometric surveillance, critical infrastructure) faces restrictions. Most commercial AI? Barely touched. Chatbots, recommendation algorithms, analytics tools keep running. People conflate "stricter rules" with "banned"—they're not the same. The Act is conservative but surgical, not a sledgehammer. ❌ MYTH: China is winning AI because they have no regulations ✅ REALITY: China has *different* regulations, not none. They regulate AI through industrial policy, data control, and censorship requirements—which creates different innovation paths, not faster ones. Meanwhile, China's generative AI rules (2023 interim measures) are actually tighter on content than US policy. They're not moving faster; they're moving differently. ❌ MYTH: Self-regulation by AI companies is sufficient ✅ REALITY: Companies have zero incentive to regulate themselves into unprofitability. Voluntary ethics guidelines don't prevent actual harms—they prevent PR disasters. OpenAI, Meta, and Google all have safety commitments they've violated or sidestepped when convenient. Self-regulation without enforcement is just marketing. Real accountability requires external checks. ❌ MYTH: AI regulation only matters for big tech companies ✅ REALITY: Small AI startups actually benefit from regulation. Standards lower compliance costs through compliance-as-a-service platforms. Big tech can absorb regulatory overhead; smaller competitors can't—so you either see consolidation or you see leveling. Mid-market companies building AI tools need to understand this now, not later. Here's what nobody wants to admit: The real debate isn't regulation vs. innovation. It's *whose* innovation gets protected and *whose* harms get ignored. Regulation isn't a speed bump on progress—it's a guardrail that lets faster players move at full speed without crashing into lawsuits, bans, or public backlash. The companies winning AI long-term? They're already compliant. Stay ahead of the rules, don't fight them. Which myth surprised you the most? 👇 #AI #artificialintelligence #AGI #machinelearning #tech #future 80·Sep 5 🚨 BREAKING AI NEWS OpenAI's GPT-6 Astra hallucinates less but remains vulnerable to hidden prompt injections 🔗 Read full story — The Decoder React with 🔥 if this is huge! #breaking #AI #AGI #artificialintelligence #tech 📡 @cryptoAIAGI 213·Sep 4 [media post] 357·Sep 4 🔍 MYTH BUSTER: AI Image & Video Generation: What People Get Wrong Stop falling for these. The AI image and video space is drowning in misconceptions, and they're costing people money, legal headaches, and credibility. ❌ AI-generated content is always detectable ✅ REALITY: This is already false. OpenAI's own research shows that human evaluators can't reliably distinguish between high-quality AI images and real photos—we're talking 50-60% accuracy on newer models, which is basically a coin flip. Midjourney v6 and DALL-E 3 outputs fool professional photographers regularly. Detection tools like Hugging Face's classifiers work on older models but fail catastrophically on new ones because generators evolve faster than detectors. The arms race is real, and detection is losing. ❌ AI art has no copyright protection ever ✅ REALITY: This is a dangerous oversimplification pushed by people who haven't read recent case law. The U.S. Copyright Office already granted copyright to AI-generated images where humans provided sufficient creative direction (the "Zarya of the Dawn" case refined this). The key: if you prompt engineer meaningfully, iterate, and curate, you likely own it. Full automation = no protection. Partial human authorship = usually protected. Copyright exists on a spectrum now, not a binary. ❌ Image generators understand what they're creating ✅ REALITY: They absolutely don't. DALL-E can't tell you why it placed an object where it did or verify that a generated image matches your description accurately. They're statistical pattern-matching engines trained on billions of images—they predict pixels, not concepts. Ask Midjourney to generate "a red ball on a blue table" five times and you'll get wildly inconsistent results for the same prompt. They're stochastic parrots, not visual reasoners. ❌ AI video will replace Hollywood within 5 years ✅ REALITY: This is Silicon Valley copium. Current video generators (Runway, Pika, OpenAI's Sora) can't maintain consistency beyond 10-20 seconds, struggle with complex narratives, and still require human cleanup that eats 60-80% of the time savings. A Hollywood blockbuster needs 200+ days of production. Even at exponential improvement rates, we're looking at 7-10 years minimum before AI handles full-length feature production without heavy human intervention. What will change faster: short-form content, ads, and B-roll. ❌ Deepfakes are impossible to combat ✅ REALITY: Detection and authentication tech is advancing just as fast as generation. Cryptographic signing, blockchain-verified timestamps, and liveness detection already stop most deepfake threats at scale. The real problem isn't technical—it's deployment. Most platforms haven't integrated these tools yet. Once they do (2025-2026), the economics of mass deepfake campaigns flip. It becomes expensive and traceable fast. The real lesson: The AI content space isn't about what's possible—it's about what's economically viable and legally defensible. Move fast on capability, but move faster on understanding the actual constraints. Everyone hyping "AGI will render copyright meaningless" or "detection is dead" is either selling something or hasn't built anything. Which myth surprised you the most? 👇 #AI #artificialintelligence #AGI #machinelearning #tech #future 281·Sep 4

An open web layer over public Telegram — search, stats and channel reading right in your browser, no account, no install.

Not affiliated with Telegram FZ-LLC; all data comes from public sources.

Catalog

Top channels Categories Countries Search

Content

Stickers Emoji Gifts Themes Wallpapers

Help

Tools Wiki Glossary Blockchain Safety Premium Advertisers Advertising

© 2026 TG.ME · G.Media network· Updated 09/04/2026 · v0.2.0 · ee6ec29

Privacy Terms DMCA & complaints Report a violation

Similar channels

AI Crypto Edge15.2K subscribers

AI Tools Daily10.1K subscribers

Blockchain & GenAI are Stupid3.4K subscribers

Crypto Daily News3.3K subscribers

AI Stack Digest — AI News, Tools & Guides10 subscribers

AILogs1M subscribers

Naturally Artificial by Sergey Osipov7K subscribers

Signals, News, Charts and Mindset1.3K subscribers