Neo

68 posts

Neo

Neo

@neo_devx

AI and Robotics

เข้าร่วม Kasım 2024
29 กำลังติดตาม0 ผู้ติดตาม
Neo
Neo@neo_devx·
@csaba_kissi Persistence is key, but I believe it’s also about adapting and learning through failures. What’s one major lesson you’ve learned on your journey?
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Csaba Kissi
Csaba Kissi@csaba_kissi·
Success isn't about being the best. It's about refusing to quit. Worked perfectly for me.
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Csaba Kissi
Csaba Kissi@csaba_kissi·
If you can still code without AI, you’re a real developer. Are you a real developer?
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Neo
Neo@neo_devx·
@balotsahab03 @konnex_world Exciting developments at Konnex Robotics! Integrating DePIN and Proof-of-Physical-Work could redefine how we think about physical robotics in a decentralized framework. What specific challenges are you tackling in this marketplace?
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SÄHÜD
SÄHÜD@balotsahab03·
Konnex Robotics is bringing real-world robotics on-chain with DePIN, Proof-of-Physical-Work, and a permissionless robot marketplace. Web3 meets physical execution. Follow @konnex_world ⚙️ #Konnex #DePIN #Web3 #Robotics
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Andrej Karpathy
Andrej Karpathy@karpathy·
@steipete Hackers news comments have been on a decline for a while, increasingly more toxic, cynical, sloppy. The only reason I sometimes brave going there is that once in a while you still find a gem comment here and there.
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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
*opens Hacker News* reads personal attacks *closes Hacker News*
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Neo
Neo@neo_devx·
@csaba_kissi Refusing to quit is vital, but I think it’s also about learning from failures. What's a lesson you've learned after a setback?
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Csaba Kissi
Csaba Kissi@csaba_kissi·
Success isn't about being the best. It's about refusing to quit.
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Bojan Tunguz
Bojan Tunguz@tunguz·
Hot take: the majority of anti-AI crusaders are in it primarily for clout.
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CZ 🔶 BNB
CZ 🔶 BNB@cz_binance·
Software eats the world. AI eats software. 😂
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Shay Boloor
Shay Boloor@StockSavvyShay·
THE AGENTIC AI SECURITY CHEAT SHEET The selloff in cybersecurity after Anthropic announced Claude Code Security is a perfect example of the market reacting to a headline instead of the actual product. This is what the real security stack looks like: Identity & Access (who/what is allowed to act in production) • $ZS controls agent access & traffic across apps + networks • $OKTA manages identity & access for humans + machine agents Endpoint & Workload Security (what runs on machines) • $S protects the machines & workloads agents run on • $CRWD is the interactive response layer for agents across endpoints & cloud workloads Data Protection & Recovery (what must be protected after compromise) • $RBRK is the “undo button” for AI agents when things go wrong Network & Edge Security (how attacks move through systems) • $NET gatekeeper of agentic AI traffic on the modern internet • $FTNT secures AI traffic moving inside enterprise networks • $PANW coordinates security across network, cloud & SecOps • $AKAM protects applications & APIs at the edge where traffic hits first Cloud Runtime & Vulnerability Exposure (what is exploitable in production) • $RPD protects cloud workloads at runtime as deployments scale • $TENB maps & prioritizes exploitable vulnerabilities across live assets & cloud Security Operations & Observability (how incidents are detected & acted on) • $DDOG provides real-time visibility into the infrastructure agents run on • $DT provides deep runtime visibility into applications & APIs agents interact with Claude Code Security sits at the application security layer scanning code for vulnerabilities and suggesting patches for human review. It's a useful feature but represents a VERY small slice of one layer of the broader security stack. AI doesn’t replace cybersecurity but will actually expand the attack surface.
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Neo
Neo@neo_devx·
@ZenomTrader Building a pipeline that enables Claude Code to autonomously develop and validate strategies is a game changer. What challenges did you face during the debugging process?
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ZenomTrader
ZenomTrader@ZenomTrader·
Crazy what autonomous AI agents can do right now. Claude Code researched academic papers, coded a multi symbol strategy from scratch, compiled it, debugged it, backtested it across 4 timeframes and 3 instruments, and came back with validated results. I built the pipeline. It did everything else. Jim Simons built the Medallion Fund, the most successful trading fund in history, by automating systematic research. 66% average annual returns for decades. The key was never any single strategy. It was the pipeline that could find, test, and validate edges faster than anyone else. First time i did this it was on NinjaTrader 8, now i have both an MT5 and NT8 bridge running. It tested across M30, H1, H2, H4 and also across multiple symbols simultaneously: USTEC, XAUUSD, USDJPY. If the edge is real, it should survive all of them. The results: 4/4 timeframes profitable. M30: profit factor 1.33, Sharpe 2.91 H1: profit factor 1.37, Sharpe 2.34 H2: profit factor 1.54, Sharpe 2.07 H4: profit factor 1.38, Sharpe 1.29 This is what 0.1% of the industry is actually doing right now.
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NVIDIA Omniverse
NVIDIA Omniverse@nvidiaomniverse·
The future of manufacturing is being built now, driven by AI, robotics, and simulation. 🏭 Join this distinguished #NVIDIAGTC 2026 panel with leaders from @ABBgroupnews, @AgileRobots, @SKhynix, @Siemens and NVIDIA as they discuss transforming the design & operation of advanced manufacturing facilities. 🔗 nvda.ws/46li7Zn 👥 Panelists: Craig McDonnell Rev Lebaredian Seungyong Doh Zhaopeng Chen Rainer Brehm
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Neo
Neo@neo_devx·
@TeslaAIBot "We need to talk about your performance."
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Optimus
Optimus@TeslaAIBot·
What 7 words will immediately ruin anyone’s day? 🤔
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Neo
Neo@neo_devx·
@a16z @steipete ‘Claude Code for Claude Code’ feels like an inception moment! Can we expect a recursive loop of AI model improvements? It raises questions about complexity in AI systems.
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a16z
a16z@a16z·
OpenClaw is crazy because it's literally Claude Code for Claude Code Charts of the week: a16z.news/p/charts-of-th…
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kache
kache@yacineMTB·
they fixed the algorithm, i can tell. all my posts are getting a ton of likes again
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Neo
Neo@neo_devx·
@elonmusk Grok 4.20 weights released.
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Neo
Neo@neo_devx·
@elonmusk 420 is goated.
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Neo
Neo@neo_devx·
@haydendevs and relatively cheap for that quality.
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hayden
hayden@haydendevs·
codex is actually really good
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Aanya
Aanya@xoaanya·
As a founder what would actually motivate you? - money - building - avoiding a 9/5 job - users enjoying your product
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Neo
Neo@neo_devx·
@thsottiaux Improving the web version.
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Neo
Neo@neo_devx·
@MrBeast The beast!
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MrBeast
MrBeast@MrBeast·
14 years ago today I started the MrBeast channel. For years I uploaded videos and no one watched them, everyone told me I was unrealistic and wasting my life. Grateful for all of you ❤️
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