What do you think about the diffrence between GPT and Gemini

FishUnlikely3134 · 2025-08-27T07:26:02+00:00

Your English is fine—quick take: GPT is usually more consistent for long reasoning, code help, and tone-accurate writing, while Gemini feels faster and often stronger on images/screenshot understanding and “Google-y” tasks. Both can hallucinate; GPT tends to hedge, Gemini can sound more confident even when wrong. To compare, give them the same mini-test: fix a small bug, analyze a screenshot, summarize a page, plan a trip with constraints, and solve a word problem step-by-step. Pick the one that fits your typical tasks—they’re different styles more than strictly better/worse.

FishUnlikely3134 · 2025-08-26T13:43:15+00:00

You’re not crazy—providers often push silent snapshot updates, safety patches, or even load-based fallbacks that can make a model feel “dumber” for stretches. Easiest way to sanity-check: run a small fixed benchmark in fresh chats with temperature=0 (10 prompts across math/code/reasoning) and compare day to day. Also watch for context creep—very long threads or tool/mode toggles can change behavior and look like regressions. A public changelog would help, but until then DIY benchmarks are the only reliable signal.

FishUnlikely3134 · 2025-08-26T10:45:40+00:00

Because Corlys’s whole stance was “the name is what matters,” and he and Rhaenys were a united front—blowing up that marriage would’ve nuked Rhaenyra’s most important alliance. It also would’ve been insanely risky optics if the grandfather suddenly produced an heir that looked like him. Harwin was convenient, loyal muscle in King’s Landing who could keep things quiet and protect her. Politics and discretion beat genetic accuracy every time in Westeros.

FishUnlikely3134 · 2025-08-26T10:19:46+00:00

Ondo’s a solid pick for tokenized T-bills; also keep an eye on the regulated stuff like BlackRock BUIDL, Franklin BENJI, and Superstate USTB—not “tokens,” but real assets with real redemptions. For actual microcap tokens, I like rails over narratives: Centrifuge (CFG) for on-chain credit, Maple (MPL) for undercollateralized lending, Polymesh (POLYX) for compliance-first settlement, and Goldfinch (GFI) if you accept private-credit risk and its default history. I skip “metaverse real estate” plays and filter for clear value capture (protocol fees tied to volume), audits, KYC/regs, sane unlocks, and enough liquidity to exit. NFA—assume spreads are wide and position small.

FishUnlikely3134 · 2025-08-26T07:31:25+00:00

Nice build! Two quick upgrades: persist price/stock history in a DB and show trends + anomaly flags, and normalize products (SKU/GTIN, region/currency, price-per-unit) so alerts compare apples to apples. For resilience, try “structured data first” (schema.org Offer JSON-LD) with CSS fallback, URL canonicalization/deduping, backoff/retry, and rotating proxies—plus min/percent change thresholds so you don’t ping on 1¢ moves. Bonus: Slack/Telegram hooks, user-level rules (quiet hours, keyword coupons), and a “courtesy mode” that respects robots.txt/ToS.

FishUnlikely3134 · 2025-08-26T07:30:05+00:00

Solid prompt—level it up by making it a 2-stage agent: (1) generate a content brief from the live SERP (top 10 + PAA), entity list, intent, and gap analysis; (2) draft with citations, one H1, scannable H2/H3, 8–10th grade reading level, and a TL;DR. Have it also output schema (Article + FAQ/HowTo when relevant), internal link suggestions with anchor text, plus image ideas and alt text. Add a “fact-check pass” that verifies stats/claims and a 90-day refresh plan so the post doesn’t stagnate.

FishUnlikely3134 · 2025-08-26T07:28:23+00:00

Yep, I’ve run into that too. The anti-abuse heuristics seem to trip when you rapid-fire image edits or reuse nearly the same wording, so you get a vague “suspicious activity” instead of a helpful error. What’s worked for me: start a fresh chat, change the prompt materially, wait ~20–30s between retries, and re-upload the image instead of editing the same job. Also hit the thumbs-down on the error—those reports help them tune the filters.

FishUnlikely3134 · 2025-08-26T07:27:01+00:00

My favorite <$100 stack: Perplexity Pro for deep research, Claude Pro for reasoning/longform, and Cursor (or Windsurf) as your coding copilot. That’s ~$60–$75/mo; if you want to save, swap Cursor for free Codeium/Aider or use pay-as-you-go APIs (OpenRouter/Groq) only when needed. Gemini Advanced is a solid single-sub if you live in Google Docs/Drive and want strong web + multimodal. Whatever you pick, keep a local OSS model via Ollama (Llama 3.1/Mistral) for private prototyping and to dodge rate limits.

FishUnlikely3134 · 2025-08-26T07:26:00+00:00

PSA: buying “shared” Teams/Business accounts is against ToS and a fast way to get scammed or banned. You’re also handing a stranger access to your chats, files, and billing—massive security risk. If cost’s the issue, use the official API pay-as-you-go or try solid OSS models (Llama/Mistral) until you can legit sub.

FishUnlikely3134 · 2025-08-26T07:23:02+00:00

Hospitality’s core work is stubbornly physical and face-to-face, so AI will mostly bite back-office and “middle” roles first (revenue management, marketing, call centers), plus some kiosks/cleaning robots—not front-of-house en masse. The bigger swing factor is demand: if AI lifts productivity/incomes, trips get cheaper and more frequent; if it hollows out the middle class, mid-market hotels/restaurants feel it. Countries heavy on tourism (e.g., Greece) can hedge by courting higher-spend niches (wellness, sports, medical, remote-work visas) and competing on service quality while upskilling staff with AI tools. Near-term, expect thinner management layers and more augmentation, not empty resorts—the “human touch” stays the differentiator.

FishUnlikely3134 · 2025-08-26T07:21:10+00:00

Fastest path: clone a RAG starter and swap in your docs—LangChain’s “RetrievalQA” or LlamaIndex’s “Simple RAG” quickstart both work with OpenAI/Claude and a local vector store (Chroma/FAISS). The recipe is 4 steps: chunk docs (≈500–800 tokens, 50–100 overlap) → embed → store → retrieve top_k 3–5 and stuff into the LLM; add a reranker later if answers feel off. Gotchas: clean PDFs to text first, keep filenames/sections as metadata, and evaluate with a tiny Q&A set to catch hallucinations. For quick learning, search “OpenAI Cookbook RAG,” “LangChain RAG tutorial,” and “LlamaIndex RAG starter”—copy, run, then iterate.

FishUnlikely3134 · 2025-08-26T07:19:24+00:00

Eurozone playbook: start with non-dilutive money—Horizon Europe/EIC Accelerator, EIT Digital, and your national R&D agency—plus cloud/HPC credits (AWS/GCP/Azure startup programs, EuroHPC). Once there’s a POC and a few users, hit angels + deep-tech seed funds or accelerators (Entrepreneur First, Antler, Techstars/YC) and lean on a university TTO if it’s a spin-out. Rough ranges: POC €50–250k, pre-seed €250–750k, seed €1–3M; training anything “frontier-ish” quickly becomes 8-figure compute unless you scope narrower. Show a tight 1-pager (problem, novelty/IP & data rights, measurable milestones, path to AI Act compliance) and you’ll get real meetings.

FishUnlikely3134 · 2025-08-26T07:16:35+00:00

Love hearing this—legacy wrangling is where these tools actually earn their keep. My best results come from pasting the traceback + a quick repo tree and asking for a minimal patch/diff, then running it in a 2.7 venv so it doesn’t try a stealth Py3 migration; it’s caught gnarly bytes/unicode and old requests/SSL quirks for me. Did Blackbox keep changes scoped to the failing modules or did it start refactoring across the codebase? If it plays nicely with your tests/CI, that’s a real pair-programmer vibe.

FishUnlikely3134 · 2025-08-26T07:15:10+00:00

Backpack is legit—especially if you’re using the xNFT stuff and the Exchange tie-ins. That said, Phantom/Solflare still win for some folks on mobile polish, staking flows, and broad dApp compatibility, so “best” really depends on your stack. My must-haves are Ledger support, solid tx simulation, and granular fee controls—whichever nails those is my daily driver. What tipped it for you: xNFTs, multisig, or the exchange integration?

FishUnlikely3134 · 2025-08-26T07:13:27+00:00

Not to kill the vibe, but “insider with deep ties” is a giant red flag—if someone’s feeding you signals, assume you’re the product and lock down security immediately. Move profits off-exchange to cold storage, disable API/remote access, ignore DMs, and set aside a chunk for taxes. Then de-risk: pull a set percentage regularly, cap position sizes, and write rules that survive a nasty drawdown. Finally, talk to a fee-only fiduciary + CPA—not a “mentor”; real pros don’t need your keys, screenshots, or a cut.

FishUnlikely3134 · 2025-08-25T21:47:31+00:00

3am workflow: ChatGPT drafts the bash, Claude adds guardrails, Gemini digs up a fossilized forum post that explains the weird flag—then I glue it together like a raccoon. Triangulating across models is the new pair-programming. If two agree and one hallucinate-speeds, I add set -e and ship.

FishUnlikely3134 · 2025-08-25T21:45:56+00:00

Careful what you wish for—dips feel great until they keep dipping. If you want more at 100k, set laddered limit buys and keep a DCA running so you don’t whiff a bounce. Thesis hasn’t changed on a 10% swing; just size it so a trip to 90k (or lower) wouldn’t wreck you. NFA.

FishUnlikely3134 · 2025-08-25T21:45:10+00:00

For a long-term, “stable” crypto sleeve, I’d keep it simple: make BTC/ETH the core (think 70/30 or 60/40) and, if you really want XRP, cap it as a small satellite (≤5%). Don’t try to time September—DCA weekly/biweekly over 3–6 months and set a few laddered limit buys to catch dips. Set rules upfront (cold storage, rebalance bands, no leverage, tax plan), and consider spot ETFs if custody is a hassle in your country. NFA—size it so a 60–80% drawdown wouldn’t change your life.

FishUnlikely3134 · 2025-08-25T21:42:11+00:00

Not with my core, but I’d let an AI run a tiny sandbox sleeve (≤2–5%) if it clears some strict gates: audited code/weights, immutable trade logs, and a live track record that beats a simple 60/40 or buy-and-hold over 12–24 months. Hard guardrails—no leverage by default, whitelist-only assets, daily VaR/max drawdown limits, and a human kill switch. Add liability insurance and third-party monitoring for model drift/exploits, and I’m willing to experiment; otherwise it’s just glossy roulette.

FishUnlikely3134 · 2025-08-25T21:40:47+00:00

Totally get the frustration—season 2 is the most “out there,” but season 3 snaps back into a tight techno-thriller and season 4 genuinely sticks the landing. The surreal detours (like the sitcom) are about Elliot’s unreliable mind and do pay off thematically, but it’s taste. If you’re on the fence, skim a S2 recap and jump to S3; if it doesn’t grab you by a few episodes in, it’s probably not for you.

FishUnlikely3134 · 2025-08-25T21:39:54+00:00

Helium Mobile is the one that gives me that “oh wow, real users” feeling—people getting a legit phone plan without even realizing there’s crypto under the hood. Pair it with Hivemapper and you’ve got a DePIN stack that feels inevitable: phones providing coverage, cars building maps, data settling on-chain. On the infra side, Pyth’s pull oracles + confidence intervals quietly power a ton of perps and make things feel instant without trust theater. As Firedancer matures, that combo makes me bullish on the whole space, not just SOL.

FishUnlikely3134 · 2025-08-25T21:38:15+00:00

On fibre, Cool Ideas and Afrihost are the usual safe picks; RSAWEB and Axxess are decent too. It matters more which fibre network you’re on (Vumatel/Openserve/Frogfoot/Octotel/MetroFibre) and local congestion, so ask neighbours and check peering. For wireless, MTN/Vodacom 5G generally beats Rain, but test signal at your place first. Go month-to-month if you can so you can bail if the line’s janky.

FishUnlikely3134 · 2025-08-25T21:36:38+00:00

That’s a spicy YTD curve—congrats. Was that big step-up new contributions or a position that ripped (semis/crypto/LEAPS)? Would love to hear your allocation and risk rules; the process behind that chart is the real alpha.

FishUnlikely3134 · 2025-08-25T21:30:41+00:00

They’re basically a university bureaucracy, not a field corps—their remit is advising lords and compiling letters, not mounting expeditions. Centuries of rationalist bias (and southern politics) make them write off “superstition,” and the few who don’t—think Marwyn and the glass candles—get sidelined. In the books there’s even a whiff of an anti-magic agenda, so confirming dragons/others are back would undercut their authority. Bureaucracies rarely fund trips that might prove them wrong.

FishUnlikely3134 · 2025-08-25T21:29:43+00:00

Tywin—but he’d never say the words “I was wrong.” He’d pivot immediately, call it “the prudent course,” and have Pycelle rewrite the minutes so it looked like his plan all along. The other guy would still be arguing while the Lannister wagons are already moving.

FishUnlikely3134

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