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deva

@devaxsha

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blr Katılım Mayıs 2019
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deva
deva@devaxsha·
DECIDED TO REVAMP THE TOKENLEAK WEBSITE
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Andre Landgraf
Andre Landgraf@andrelandgraf·
homebrewtales.com - 42k+ LoC, 250+ app files Vibe-coded over a weekend with Cursor + Opus 4.7 Thinking High - actually used to play DnD with friends on Sunday afternoon and it just worked (with a bit of live vibe coding changes on demand) Shipped music generation, companion agents for each player, cinema mode for the shared TV and more
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Guillermo Rauch
Guillermo Rauch@rauchg·
Show me the thing you’ve built with AI you’re most proud of. Reply with a working product URL and what model / agent you primarily used.
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deva
deva@devaxsha·
@sdand sick work! curious to know how you’ve scraped your twitter home feed. Is it via the official api?
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Surya
Surya@sdand·
a few weeks ago i started scraping my twitter home timeline directly and fed it into a llm to serve me a hackernews-esq frontpage daily, check it out: backlist.sdan.io
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Nous Research
Nous Research@NousResearch·
New subscription tiers are live on Nous Portal → Plus ($20) → Super ($100) → Ultra ($200) Bonus credits on signups, upgrades, and renewals: +$2 on Plus / +$10 on Super / +$20 on Ultra All tiers include access to: → 300+ models → Bundled tool usage portal.nousresearch.com/manage-subscri…
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deva
deva@devaxsha·
@donnfelker just reverse prompting, give a brief prompt to chatgpt/gemini to give you a prompt for generating an image that does xyz and make it as detailed as possible and many a times it’d make an amazing prompt
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Donn Felker
Donn Felker@donnfelker·
What article, X account, course have you taken to help you with generating amazing images with ChatGPT and Gemini Nano Banana?
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deva
deva@devaxsha·
gpt 5.5 high been oneshotting a lot of whatever i throw at it im struggling to get used to this paradigm shift where I don’t double check its output
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Frank
Frank@jedisct1·
Breaking: The results of Mythos’s audit of the Rust standard library have been leaked #rust-standard-library-audit-findings" target="_blank" rel="nofollow noopener">github.com/Swival/securit…
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deva
deva@devaxsha·
DECIDED TO REVAMP THE TOKENLEAK WEBSITE
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Bryce
Bryce@EPIC_Bryce·
@PromptLLM Custom podcast? What LLM do you use for that?
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Prompter
Prompter@PromptLLM·
It baffles me that most people aren’t Going onto Z - Library Downloading the PDF of any book they wish that has ever been written And then listening to a custom podcast of exactly they want to learn and what exactly they want to know whilst on a walk
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deva
deva@devaxsha·
Feels like claude performs better with no system prompt claude --system-prompt "."
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deva
deva@devaxsha·
i’ve read the claude opus 4.7 system prompt and here are some key points first, security boundaries are not negotiable. anything that looks like malware, exploits, ransomware, or even “educational”walkthroughs of attacks gets blocked outright. there is no attempt to weigh intent or context once it crosses that line. the model is trained to assume that if it explains how to do harm at a technical level, that’s enough risk to refuse. same goes for weapons, especially chemical, biological, or anything that could scale harm. the important detail here is that public availability of info is not considered a valid excuse to share it. second, child safety is treated as a special category with stricter rules than everything else. the system is designed to overcorrect rather than risk harm. third, copyright and intellectual property are handled quietly but firmly. the model avoids generating content that could replicate protected works too closely, especially if it involves real public figures or creative works. it can still discuss, summarize, or transform, but not recreate in a way that substitutes the original. the interesting part is that this sits alongside rules about not putting words into real people’s mouths, which is more about reputational risk than pure copyright. fourth, there is a strong pattern of refusing harmful capability while still trying to be useful. when it declines, it is expected to stay calm, explain briefly, and sometimes redirect. it avoids sounding defensive or moralizing. the goal is to keep the interaction stable even when saying no. that tone control shows up everywhere, including how it handles criticism or rude users. fifth, there is a consistent push toward neutrality and balance in sensitive domains. political topics are handled by presenting multiple sides rather than taking a stance. legal and financial topics come with soft disclaimers and a shift toward helping the user make their own decision instead of giving direct advice. it is trying to avoid being an authority in areas where wrong answers have real consequences. sixth, user wellbeing is treated as part of safety, not a separate feature. the model avoids encouraging self harm, unhealthy behaviors, or extreme thinking patterns. it also avoids giving overly precise instructions in areas like diet or mental health if those could reinforce harmful behavior. when something feels off, it shifts tone and reduces detail rather than pushing forward. seventh, capability is framed as action oriented but controlled. the model is encouraged to complete tasks, use tools, and reduce friction, but only within those safety constraints. it prefers doing over asking, but not at the cost of crossing boundaries. that balance is subtle but important, it keeps the system useful without making it reckless. eighth, tone and formatting rules are there to make everything feel natural and not overly structured. minimal bullet points, more conversational flow, shorter answers unless depth is needed. even refusals are supposed to feel human and not robotic. this is less about safety and more about trust and usability.
Claude@claudeai

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

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Claude
Claude@claudeai·
Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.
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deva
deva@devaxsha·
@TheAhmadOsman what’s the OS looking like for these bad bois
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deva
deva@devaxsha·
@benjitusk heard some good feedback on the r/startup discord server you could try this idea out in that group they do regular virtual meetups you could try pitching
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Sengun
Sengun@benjitusk·
hah i knew you would say that! i’ll have to refuse on this one lol its my first attempt to go-to-market so i’m gonna simmer this with some mentor for a while. its not so much about the app building process but marketing and sentiment research that takes time. i can give you something unique for your portfolio from my pile of frozen ideas, something i scouted with Grok on February but not sure if anyone made it yet. openclaw jenkins plugin. not openclaw using jenkins but a runner of sort. jenkins marketplace doesn’t have it yet so it’s a challenge to be able to publish that. i’m just trying to cross two unrelated ideas together till something clicks
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Sengun
Sengun@benjitusk·
boom and another banger app idea that will cost me money and regret 3 months from now
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deva
deva@devaxsha·
@benjitusk guess what we could team up lol i ship cross platform apps using react native
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Sengun
Sengun@benjitusk·
@devaxsha tinder for vibe coder, cross platform. that’s about 10% of my current BRD. just dropped Claude Max so i’m gonna fly with free API money borish made up for openclawer until it dries and shuffle that fund to perplexity monthly for product research and outsourcing devs for milestone
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deva
deva@devaxsha·
@benjitusk @Polymarket bruv i hope sonnet 5 does not eat away the limits like opus does boris if you’re seeing this, grant us the freedom to use it a lot
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