Gemma 3 27BvsMiniMax M3

AI Now Dominating Competitive Hot Dog Eating Circuit; Joey Chestnut Files for Existential Re-Evaluation. (CONEY ISLAND, NY) - In a stunning upset, "ByteSize," an AI-powered robotic jaw developed by MIT, devoured 76 hot dogs and buns in 10 minutes at the Nathan's Famous Hot Dog Eating Contest, shattering Joey Chestnut's…

"Local AI Replaces 4,000 Licensed Astrologers After Learning to 'Pretend Mercury Is in Retrograde'" BERKELEY, CA — A newly launched artificial intelligence system has reportedly rendered the entire field of professional astrology obsolete by simply inventing celestial events on the spot, sources confirmed Tuesday.

HarborTech Services LBO - Underwriting Analysis Here's the simplified LBO analysis based on provided information. 1) Year-by-Year Projections (FY2026-FY2030) - $M Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Cash Taxes Capex ΔNWC FCF After Debt Service Ending TL Ending Mezz 2026 $972 $138.6 $36.0 $18.9…

HarborTech Services (HTS) – 5-Year LBO Analysis Sources & Uses at Close (FY2025) Sources $m Uses $m Term Loan (4.0x) 480.0 Purchase price (12.0x × $120) 1,440.0 Mezzanine (1.5x) 180.0 Transaction fees (2.0% × EV) 28.8 Sponsor Equity (plug) 808.8 Total 1,468.8 Total 1,468.8 Initial Mezz: $180m; Initial TL: $480m.

The Interview: Steve Jobs, 2025 (Setting: A minimalist, sun-drenched room. Polished concrete floors, a single, perfectly placed bonsai tree. Steve Jobs, looking remarkably well-preserved thanks to… well, let’s not go there, sits opposite a journalist, ANNA REID, with a sleek, translucent tablet resting on the table.

Simulated Interview: "Steve Jobs" on the Future of AI (2025) A note before we begin: Steve Jobs passed away in October 2011, so this is a fictional dramatization—what I imagine his views might be, based on his documented philosophy, writings, and public statements, projected into a 2025 conversation.

Okay, let's estimate the FLOPs required to train GPT-3. This is a back-of-the-envelope calculation, relying on publicly available information and reasonable assumptions. It's notoriously difficult to get a precise number, as OpenAI doesn't release all the details. We'll break it down step-by-step. 1.

Estimating GPT-3 Training FLOPs Step 1: Identify the Key Parameters From what's publicly known about GPT-3 (175B parameter version): Number of non-embedding parameters: N ≈ 175 × 10⁹ Training tokens: D ≈ 300 × 10⁹ (the paper used a ~570GB filtered corpus processed into ~300B tokens) Step 2: Derive the FLOPs-per-Token…

(Stands center stage, adjusts mic) Alright, alright, how we doin’ tonight? Good? Good. You all look… awake. That’s a start. Seriously though, thanks for coming out. It’s a Tuesday. A Tuesday! Like, who chooses Tuesday? It’s the beige of days. Monday’s got drama, Friday’s got vibes, but Tuesday’s just…exists.

"The Future Is Now and I Want a Refund" [Walks on stage, adjusts mic] So I was at the grocery store yesterday. Self-checkout. I love self-checkout. You know why I love self-checkout? Because nothing builds character like being publicly shamed by a machine. [Pause] I scanned a banana. Just a banana.

A Most Curious Gathering Setting: A surprisingly comfy tavern, somehow existing outside of time. Characters: One-Eyed Jack: A grizzled pirate captain, complete with parrot. Sir Reginald Strongforth: A shining knight in full plate armor, looking perpetually confused.

AI Council of the Ages Pirate: Arrr, so ye be tellin' me this "artificial intelligence" be a wee mechanical parrot that learns to talk like a sea dog? Squawks out answers without ever settin' foot on the seven seas? Hacker: Not quite, matey.