Solo app builder 🍸 By the Glass Stories + Palate Atlas. Honest takes on Grok, ChatGPT, Claude & Cursor from daily use. PhD ChemE, always learning.

Chicago area, IL
Hi, I'm Onkar. PhD chemical engineer, now building AI apps for people who love food and drink. 🍸 By the Glass Stories: personalized cocktail picks, food and drink pairings, and bar recommendations 🌍 Palate Atlas: food travel recommendations Here I'll share honest takes on the AI models I use every day, plus cocktail, pairing, and food travel tips. The goal is that you learn something new each time. bytheglassstories.app
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Today in AI, based on my feed 🧵 • @AIatMeta published a tech report on Muse Glimmer, its 30B open-weight agent model that runs on one consumer GPU • Meta also showed Prometheus, the gigawatt-scale Ohio cluster that trained Muse Wonder • @OpenAI says its latest models are much better at building and migrating COBOL, Fortran and VB code • Leaks: OpenAI's "aurora" alphas look like image models, and "GPT-6.1 Terra" reportedly showed up in eval configs • Claude Fable 5.5: a second checkpoint is said to be with partners. Still not out. Which drops first, Fable 5.5 or Astra? 👀
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Next week in AI models, based on my feed 👀 🔒 Closed • Claude Fable 5.5: spotted as "Generally Available" in Azure's catalog (leak) • OpenAI: new aurora-alpha model names spotted, plus GPT-6.1 Astra talk (leak/rumor) • Grok 4.8: lots of chatter, nothing official (rumor) 🔓 Open source • DeepSeek V4.1 Pro: reportedly in testing (rumor) • Kimi K3.1: spotted in testing (leak) • GLM-5.5 and Qwen 4: "coming very soon" (rumor) Which one actually ships first? 🤔 @claudeai @OpenAI @deepseek_ai @Kimi_Moonshot
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Understanding players in AI : Chip designers I've been on a journey to understand how the AI world actually works, from chip design to all the players and partners in the supply chain. I'm sharing what I learn as I go. Who designs the chips that run AI? In this thread we learn three answers: Nvidia, AMD, and the big AI companies that now design their own. First up, Nº 01: what Nvidia actually does in an AI chip. AI narration. Education only, not investment advice. #AIChips #Semiconductors #NVIDIA
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The Wine Series: American Classics 🍷 California Reds California Whites Oregon & Washington Swipe for the story, the map, the grapes and what to pour with dinner. Save it for your next bottle. Made with Opus 5.5. Directed by Onkar / By the Glass Stories. instagram.com/by_the_glass_s… 🎥 Made with AI. 21+ only. Please drink responsibly. #AmericanWine #WineSeries #ByTheGlassStories #CaliforniaWine #OregonWine #WashingtonWine #NapaValley #WillametteValley #WinePairing #WineLovers
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All Claude shipped this week feels like magic. Opus 5.5 in Claude Code responds faster, handles parallel sessions smoothly, and gets more done per prompt. Lately it just keeps getting more effective. Anyone else feeling it? @claudeai @ClaudeDevs @bcherny
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Other AI news this week, based on my feed: • Anthropic and OpenAI each put $5M into a Simons Foundation push to help mathematicians work with AI • Gray Swan is running a $300K prompt-injection challenge, backed by Anthropic, Meta, Google DeepMind and Reflection • Anthropic went from about 2,500 merged code changes a day in May to 30,000+ in September, and says that outgrew dev tools built for humans • A new wave of small "decision models" is out: Liquid's d1-ultra and ScaleDown's models give fast yes/no answers and labels instead of chat • Closed models still lead open ones by a wide margin on the Artificial Analysis index What stood out to you?
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OpenAI's week, based on my feed: • GPT-Live-1.1 brings new voices, better accents and less "checking..." to Voice in ChatGPT, Codex and dots • GPT-6 Pro and Astra Pro are faster, with multiple agents working in parallel • ChatGPT can now use your Chrome tabs and do tasks for you • Your dot can now be an iOS home screen widget • Fewer "model at capacity" errors, plus another usage reset! Still waiting for voice right inside the chat and a standalone dots app. @OpenAI @ChatGPT @thsottiaux
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Claude's week, based on my feed: • Claude Code desktop is built for running lots of sessions side by side • Code Review is now GA for Team & Enterprise, with Quick, Standard, and Deep levels • Faster responses: Claude Code compresses each turn, and cloud sessions start as you type • New defenses against distillation attacks • Mythos 5 designed quantum circuits that beat the best published ones Still waiting for Code Review and a usage dashboard to come to individual plans like Max. @claudeai @ClaudeDevs @bcherny
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AI models this week, based on my feed: Closed • Gemini 4 Argon goes global, now in Pro on Antigravity • Meta's Muse Wonder + Wonder Full, built for agents and coding Open • Meta Muse Spark Open (816B, runs on Mac Studios) • Reflection Beam 1.0, Apache 2.0 • StepFun Step 5 Preview weights • Ant Group Ling-3.1-flash • Liquid LFM2.5-24B for local agents Which one are you trying first?
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Today’s Learning : Agent SDK The Agent SDK is Claude Code as a library. The harness comes with it. The API key does not.   A 12-line Python agent stopped at a 401 without a key. A claude.ai login is not allowed for SDK apps.   Recorded run, provisional. Script: Onkar. AI-narrated.   #ClaudeCode #AgentSDK #AIEngineering
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What you get: query() with a prompt and options (allowed tools, permission mode, working folder, model, max turns, max budget), a stream of messages, custom tools in a few lines. What stays yours: the key, the permissions, the bill. set max_turns and max_budget_usd.
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Question for the builders here: I share what I'm learning about AI models, coding agents, and shipping apps. What's most useful to you? Model comparisons, real workflows, build breakdowns, or lessons from what failed? And what's your best advice for getting valuable content to the people who need it?
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Switching Opus 5.5 in Claude Code to medium/high effort changed everything for me. I'm getting way more done: data analysis, writing, making videos, and breaking down new topics I'm learning. It's not just a coding tool anymore. @claudeai @bcherny
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Today’s learning Explore ideas and get insights "Summarize this" misses what is changing.   12 Claude Code agents, a sales file with 5 planted patterns. Summary: 9 of 15, both trends missed every time. A decision in the question: 15 of 15.   Recorded runs. Script: Onkar. AI-narrated.   #ClaudeCode #DataAnalysis @AnthropicAI @claudeai @ClaudeDevs
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I give Claude a folder of working files and detailed prompt in word file about my ideas and let it explore, super impressed so far with opus 5.5 Looking forward to fable 5.5 ( maybe tomorrow??)
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Today’s Learning: Learning codebase with Claude Ask for the map before you read the code.   6 Claude Code agents, a 34-file app, 5 checkable questions. Cold: 15 of 15 right. Map first: 15 of 15, plus 3 places where the docs disagree with the code.   Recorded runs. Script: Onkar. AI-narrated.   #ClaudeCode #AIcoding #AIEngineering
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The test: a private Python app, 34 files, 4,526 lines; questions like "how many routes", checked by grep. The map: 300 words in under 50 s, with file paths. Cost: 40,000 characters of context. Do this: map, locate, trace, then ask what is stale. @AnthropicAI @claudeai @ClaudeDevs
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Keep the evidence out. Bring the answer in.   27 call sites in 34 files. Agents searching themselves: 27 of 27, 11k to 24k characters of tool output in context. Delegated to a subagent: 27 of 27, ~1.2k back.   Recorded runs. Script: Onkar. Voice: AI-narrated.   #ClaudeCode #AIcoding
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Made with Claude Fable 5.1 · @AnthropicAI @claudeai @ClaudeDevs Recorded with Claude Code subagents (Haiku), 3 trials per setup, counts not percentages.
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The test, 3 trials each: every list_pages call site as path:line plus its function. Direct: 10,765 to 24,059 characters into the main context. Delegated: one Agent call, 1,155 back; the subagent's window held ~60,000 tokens. Do this: delegate search to Explore; ask for file:line.
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