Job Title: Performance Engineer Payment: $100 - $130/hr Location: US Type: Remote Apply Now For More Details⬇️ t.mercor.com/XPRMB #RemoteJobs #Engineer #PerformanceEngineer #Python #MachineLanguage

Job Title: MLOps Engineer Payment: $100 - $140/hr Location: US Type: Remote Apply Now For More Details⬇️ t.mercor.com/FueQd #RemoteJobs #Engineer #MLOps #MachineLanguage

Why Gen X Should Care About AI (Even If We Still Miss Mixtapes) davfalcon.wordpress.com/2026… #AI #chatbot #Claude #artificialintelligence #ChatGPT #LLMs #GenerationX #MachineLanguage

@Scobleizer c @openclaw is =#cliOS=@github #machineLanguage, #NemoClaw @NemoClaw is #OpenSource =#UnixServer ,where is #AgenticGUI #Voice & #Notification response #Copilot #CompoundEngineering #AutoMagic #AgenticUI=#MacOS C my #WAG 22:00 & 6:00 from end x.com/i/spaces/1AKEmONRNjbKL

Well done #Enlighten Opening the Enlightened Language Academy in #Tigray is a major step forward By combining strong #Education with advanced #MachineLanguage and #MachineLearning we are building a smarter, more connected and brighter future generation #Innovation #FutureLeaders

An #AI / #GenAI based analysis with relevant prompt, and sourced info mostly from @X and using @grok. This is an #experiment to see if we can use an alternate way to predict #weather patterns based on what many talk or share their views using #chaostheory to see any dramatic changes. Traditionally #ML (#MachineLanguage / #DataScience ) approach is to use relevant data, train and use known models. This is to test a different hypothesis. So be advised, and not take this as a scientific prediction. *Factors Influencing #ENSO and Its Impact on the Indian Monsoon* The #ElNiño-Southern Oscillation (ENSO) is primarily driven by coupled ocean-atmosphere interactions in the tropical Pacific Ocean. Key factors include: #SeaSurfaceTemperature (#SST) Variations #AtmosphericCirculation #ExternalForcings #IndianMonsoonLink

Call for Submissions World Congress on Intelligent Systems (WorldCIS-2025) To submit your proposal, please visit worldcis.org/paper-submissio… #intelligentsystems #intelligentcomputing #Robotics #ai #iot #chatgpt #realtimecomputing #machinelanguage

Haha, I was grappling with the concept of the agentic layer. I kept wondering — how is it different from the internet? After all, an agent network is just machines talking to machines, right? Agents are automated, but so is the internet. What’s the philosophical crux that differentiates an agent network from the internet? My thoughts converged on the protocol itself — natural language. (In an agent network, agents communicate using natural language; on the internet, machines speak machine language.) Maybe, just maybe, the fundamental power of an agent network lies in its protocol — natural language. And natural language is far more powerful than the machine language the internet speaks today. Check this out: ✅ Natural Language vs. Machine Language: Core Differences in Semantic Expressive Power 1. Unique Capabilities of Natural Language Intentionality: Natural language is rooted in human cognition. Every sentence expresses aboutness—it points to concepts or states of the world and reflects the speaker’s mental states (Searle, 1980). Ambiguity and Vagueness: Natural language tolerates and even benefits from ambiguity and vagueness, allowing flexible, context-sensitive, and creative communication. Pragmatics and Context Dependence: Understanding natural language depends heavily on context, background knowledge, social roles, and unspoken assumptions (Grice, 1975; Searle, 1969). Openness and Generativity: Natural language has an open-ended vocabulary and recursive syntax. It can generate infinite novel expressions from finite rules (Chomsky, 1957, 1965). Supports Complex Thought and Consciousness: Language enables abstract reasoning, introspection, and the formation of self-awareness (Dennett, 1991). It is not just a communication tool, but a structure for thought. 2. Limits of Machine (Computational) Languages No Intrinsic Intentionality: The symbols in machine languages derive meaning solely from human interpretation; the machine itself doesn’t understand them (Searle, 1980). Requires Formal Precision: Machine languages require exact syntax and semantics. They do not handle ambiguity or implicit meaning. Semantically Closed Systems: Their context is limited to explicit states or inputs. No background assumptions or world knowledge are involved. Cannot Express Subjective Concepts or Consciousness: Machine code cannot natively express emotions, metaphors, beliefs, or self-reference unless explicitly modeled. Lack of Evolvability or Meta-Linguistic Capacity: Machine languages do not naturally grow or change meaning through use, and they cannot talk about themselves the way natural language can. 3. Philosophical and Cognitive References Jerry Fodor (1975, The Language of Thought): Proposed that thought is conducted in an internal “Mentalese,” a representational system with structure akin to language, but more precise than natural language. John Searle (1980, Minds, Brains, and Programs): Argued in his Chinese Room thought experiment that machines manipulate symbols syntactically but do not understand them semantically. Also developed Speech Act Theory—language is action and depends on speaker intention. Noam Chomsky (1957, Syntactic Structures; 1965, Aspects of the Theory of Syntax): Demonstrated that natural language is generative, recursive, and supported by an innate cognitive structure. Proposed the idea of Universal Grammar. Daniel Dennett (1991, Consciousness Explained): Claimed that language scaffolds human consciousness—our ability to reflect, narrate, and become self-aware depends critically on linguistic capacity. 📚 References Searle, J. (1980). Minds, Brains, and Programs. Behavioral and Brain Sciences. Searle, J. (1969). Speech Acts: An Essay in the Philosophy of Language. Fodor, J. (1975). The Language of Thought. Harvard University Press. Chomsky, N. (1957). Syntactic Structures. Chomsky, N. (1965). Aspects of the Theory of Syntax. Dennett, D. (1991). Consciousness Explained. Little, Brown and Co. Grice, H. P. (1975). Logic and Conversation. In Cole & Morgan (Eds.), Syntax and Semantics, Vol. 3. #AgenticLayer #AIagents #NaturalLanguage #MachineLanguage #InternetOfAgents #LanguageOfThought #CognitiveAI #PhilosophyOfMind #ProtocolShift #ThinkingMachines

Loading Multiple BASIC Programs on the Commodore 64 – A Step-by-Step Guide #Commodore64 #C64 #BASIC #RetroComputing #MachineLanguage #VintageComputing #Bioprocessore theoasisbbs.com/loading-mult…

Oh yeah, this is what our state’s “progressiveness” means, not the innovation in AI, MachineLanguage, using RPA, creating start-ups in space, developing high grade missiles and defence technology using state’s extraordinary literacy 🤓

#CerboAI Discover LoRA (Low-Rank Adaptation)! LoRA enables efficient training of large models with minimal parameters. - Freeze original weights, update low-rank matrices A & B. - No inference delays; easy task switching. medium.com/@CerboAI/cerboai-… #LoRA #machinelanguage #AI

Machine Learning in a minute. We'll give you the lowdown on the basics. This is part of our Explainer Series, where we make complex topics easy to understand. #Techterm #Explainerseries #AI #TechVideo #Machinelanguage

#Nixy2 has encountered some ghostly enemies! For a sneak peek and insights into an interesting bug, check out the latest devlog entry: h4plo.itch.io/nixy2/devlog/7… #commodore64 #c64 #pixelart #retro #indiedev #retrogaming #6502assembler #machinelanguage #Programming #Debugging

Ai Tool Locker on the latest of Ai Tools#steam #ai #aitools #aitoollocker #machinelanguage #youtube #instagram - Please Retweet instagram.com/aitoollocker ATL 23

Just for Fun: A Five-Card Poker Library Using C# Chances are if you've had many coding interviews you've been presented with a #poker problem. Here's a great take from Dr. James McCaffrey, Microsoft Research. #machinelanguage #ml #datascience #csharp visualstudiomagazine.com/Art…

Microsoft's Semantic Kernel SDK Ships with AI Agents, Plugins, Planners and Personas New docs explain creating AI agents that can answer questions, call existing code, automate processes & perform many other tasks. #ai #semantickernel #machinelanguage visualstudiomagazine.com/Art…

実家探索で確認できた旧PC 　MZ-2000：箱無、マニュアル一部（MachineLanguage等) 　IF-800RX：本体、モニタのみ 　MacintoshII：本体のみ 　MacintoshLC：本体、モニタ、CDドライブ、モニタ以外箱有 　N5200mk2：2台、本体のみ、1台はFDDモデル 　Thinkpad多数 で、結局多すぎて運べませんでしたｗ

I once wrote about several developmental trends of today in my 2018 book, titled; "The New Ekiti Dream." Sideways, Researches about ACS-Web-X & #ACSGPT has been ongoing even before that year, e.g. the highlighted #MachineLanguage et al. "Reading hobby conquers Myopicity..." ~JOS

#tech #technology #innovation #reinvent #AI #Algorithms #ML #machinelanguage #robotics #robots #humanoid #data #datatransformation #cloudcomputing #cloudsecurity #AR #Augmentedreality #amazon Amazon launches Humanoid robots !! Trail bbc.com/news/technology-6716…

Mnemonic instruction: ld (A),hl Opcode: 00100010 alalalal ahahahah lo #Zilog #Z80 e le sue istruzioni esilaranti #Assembly #MachineCode #MachineLanguage #LinguaggioMacchina