Jane Austen (@FutureGirlAi) header
Jane Austen (@FutureGirlAi) profile picture

Al Consultant & Tech Strategist |Al~Driven Systems | DM for Collaboration.๐Ÿ“ฉ janeaustentech007@gmail.com HIGGS-HFK47

Georgia, USA
Joined April 2024
Claude Fable 5.... just destroyed trading as a profession New open-source Claude Fable 5.1 Indicator for TradingView made $450,207 in a single day of live trading The indicator constantly analyzes charts in real time, draws predictions, and highlights potentially good entries. You then decide whether to open a trade or not The indicator is open-source, and you can try it in the Scripts section of the reverse-engineered TradingView Premium app for Windows and Mac How can manual traders compete with that? Want to explore how this AI trading setup works? 1๏ธโƒฃ Comment.... CLAUDE FABLE 5.... 2๏ธโƒฃ Like and repost 3๏ธโƒฃ Follow @FutureGirlAi I'll send you the setup via DM.
4
5
7
335
๐Ÿšจ AI teammates are no longer just a concept. They're becoming part of how businesses work! Meet Grok Bot 1.0 ๐Ÿค– Imagine AI teammates that can collaborate across Slack and Teams, join meetings, share knowledge, and take on real responsibilities. From accounting and customer support to sales and marketing, AI bots are changing the way teams get things done. And the more they learn, the more helpful they become. The future of teamwork is looking very different. Are you ready? Explore what's new: x.ai/news/grok-bot-1-0
4
10
10
149
Jane Austen retweeted
You don't need to download a virus to get hacked. Sometimes, one innocent-looking link, one fake login page, or one careless click is enough to expose your personal information. Hackers don't always break into your device. Sometimes, they trick YOU into giving them access. Here are 6 common ways cybercriminals steal personal information and how you can protect yourself. ๐Ÿ‘‡
3
7
7
81
Jane Austen retweeted
Has anyone gotten an AI agent to work out what's worth saving without being told? Rooting for someone to crack it ๐Ÿ”ฅ
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
11
27
35
7,540
Jane Austen retweeted
Engineers, an agent that redoes every repeat task from zero isn't saving you anything. Check whether yours gets faster the second time round.
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
23
30
30
10,185
Jane Austen retweeted
You'd drop a gym buddy who forgot your routine every single week. Weird how much we put up with from AI assistants that do exactly that.
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
33
40
41
10,657
Jane Austen retweeted
AI memory isn't about remembering everything. It's about knowing what actually matters.
๐Ÿค Paid partnership
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
5
14
14
296
Jane Austen retweeted
My AI assistant is always ready to take a note, but somehow finding that note later feels like a whole different mission. I wonder where all those little reminders disappear.
๐Ÿค Paid partnership
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
26
26
51
614
Jane Austen retweeted
The real test of a learning agent is not what it remembers. It is what it can do with a task it has never seen before. That is the bar. Any agent that claims it learned something should be able to prove it on a problem it was not trained on. This is exactly what Continual ARC goes after, and the results are worth your attention.
๐Ÿค Paid partnership
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
13
47
63
5,169
Jane Austen retweeted
Side-project builders, try giving your agent a short memory file and timing the same job before and after. Easy way to see if memory is doing anything.
๐Ÿค Paid partnership
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
25
36
40
12,157
Jane Austen retweeted
Building an AI agent that can complete tasks is one thing. Building one that can actually learn from experience is a completely different challenge. Memory and generalization are what separate truly intelligent systems from agents that simply follow instructions. This is an important benchmark for the future of AI.
๐Ÿค Paid partnership
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
12
19
30
4,798
Jane Austen retweeted
Interesting how little most Al assistants carry from one chat to the next. Feels like the biggest gap left in these tools.
๐Ÿค Paid partnership
OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience. On Continual-ARC, our new benchmark at @letsunifyai, none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.
25
41
56
2,646
AI Architect Tech Stack for 2026โ€“27 Explained! ๐Ÿš€ Knowing how to build an AI chatbot is one thing. Designing an enterprise AI system that scales, stays secure, and works reliably in production is another. That's where AI Architects come in. Here are the 9 essential layers you should understand: โ†’ Programming & Development Python, TypeScript, C#, SQL, and GitHub form the foundation for building AI applications. โ†’ Models & AI Platforms Microsoft Foundry, Azure OpenAI, OpenAI, Anthropic, and Hugging Face provide access to AI models. โ†’ Agents & Orchestration Microsoft Agent Framework, LangGraph, Semantic Kernel, CrewAI, and LlamaIndex coordinate agent workflows. โ†’ RAG & Knowledge Systems Azure AI Search, Pinecone, Weaviate, PostgreSQL, and Neo4j enable knowledge retrieval. โ†’ Data & Processing Microsoft Fabric, Databricks, Snowflake, Spark, and Kafka support enterprise data pipelines. โ†’ APIs & Integration FastAPI, Azure API Management, GraphQL, MCP, and Kafka connect AI systems. โ†’ Cloud & Infrastructure Azure, AWS, Google Cloud, Docker, and Kubernetes support deployment and scaling. โ†’ Security & Governance Entra ID, Purview, Key Vault, OPA, and HashiCorp Vault help protect AI systems. โ†’ MLOps & Observability MLflow, GitHub Actions, LangSmith, Arize, and Grafana monitor performance. The goal isn't to master every tool. It's to understand how the entire architecture fits together. Which layer are you focusing on? ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฏ๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐—ฎ๐˜ ๐—”๐—œ ๐—ถ๐—ป ๐—ท๐˜‚๐˜€๐˜ ๐Ÿญ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ ๐—ฎ ๐—ฑ๐—ฎ๐˜†. ๐—๐—ผ๐—ถ๐—ป ๐—บ๐˜† ๐˜„๐—ฒ๐—ฒ๐—ธ๐—น๐˜† ๐—ป๐—ฒ๐˜„๐˜€๐—น๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—œ ๐—ฑ๐—ผ๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป๐˜ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜„๐—ผ๐—ฟ๐—น๐—ฑ ๐—ท๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜† ๐—ผ๐—ณ ๐—”๐—œ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป. ๐Ÿ‘‰ ๐—ฆ๐—ถ๐—ด๐—ป ๐˜‚๐—ฝ ๐—ณ๐—ฟ๐—ฒ๐—ฒ now โ†’ avsl.beehiiv.com/ Join Me On Youtube And Insta : Youtube : lnkd.in/e3UVBNSk Instagram : lnkd.in/ebWK5b6V Follow @AiswaryaVenkit1 for more such insights!!
5
17
54
995
Jane Austen retweeted
agents always fall apart the second a real user does something weird this at least lets you find that out before shipping. digital twin + actual edge cases instead of the usual 5 happy path tests. free too so no reason not to try
๐Ÿค Paid partnership
Big day for us at @pluraiAI ! Plurai Simulation is live and free for every AI engineer. AI agents look great in demos. Until real users break them. So we built a world where your agent can fail, learn, and get fixed before your users ever see it. โ†’ Digital twin: Your real agent, its tools, and environment recreated from your code โ†’ Simulated users & tasks: Realistic users, tasks, and workflows that push your agent into the edge cases that matter โ†’ Auto evals: Check what your agent actually did, not just what it said โ†’ Verified fixes: Every failure comes with the run that exposed it and a fix you can verify โ†’ Replays: Turn any production failure into a simulation and replay it against every new version of your agent All inside the coding agent you already use: @claudeai code, @OpenAICodexCli , or @GitHubCopilot . Start simulating for free: simulation.plurai.ai/connect
13
43
52
881
Jane Austen retweeted
Sex with a beginner: Her: Donโ€™t stop. Him: (switches positions) Sex with a pro:
8
42
47
758
Jane Austen retweeted
๐Ÿšจ You're probably using Gmail just to send and receive emails. But Gmail can do MUCH more than that! From managing your inbox to saving time and staying organized, these simple Gmail tricks can make your daily life easier. Here are 7 powerful Gmail tips everyone should know.
4
23
36
255
Jane Austen retweeted
I'd hand an agent a text-to-object job after seeing 84.05. I wouldn't hand it a stateful workflow at 30.26.
Can coding agents replace traditional 3D vision pipelines and build a entire interactive worlds from code? Introducing Einsia AI's Frontier3DBench โ€” a unified benchmark evaluating coding agents across 3D Objects, Scenes, and Interactive Open Worlds. - 145 tasks across 9 categories (Blender & UE5) - 11 frontier model-harness configurations - Joint evaluation: Appearance, Structure & Behavior Project: lab.einsia.ai/frontier3dbencโ€ฆ GitHub: github.com/Einsia/Frontier3D paper:lab.einsia.ai/frontier3dbencโ€ฆ ๐Ÿงต See key findings below ๐Ÿ‘‡
15
39
99
52,050
Jane Austen retweeted
Major landlords are quietly rolling out AI rent software across America that could either modernize apartment pricing or permanently raise the cost of housing for working families. Starting in high-density markets heading into 2027, traditional negotiated rents are being replaced by cloud-connected algorithms. Raise the price of a two-bedroom by 10 percent the week occupancy dips below 95 percent. Hold rents firm during slow months instead of offering free parking or reduced deposits. Coordinate increases across competing buildings so no one undercuts the market. Every price recommendation happens wirelessly in seconds from a central dashboard. No leasing manager has to call competitors or survey the street. RealPageโ€™s YieldStar and AI Revenue Management tools have already been used on millions of units. Large operators fed non-public lease and occupancy data into the system. Courts later approved nearly $360 million in settlements with dozens of landlords. The Department of Justice also restricted how the software can use competitor data. This is not normal market supply and demand. This is algorithmic coordination built directly into the buildings where families sign leases. Last year investigators and former industry employees described how the system works. What they shared changed how many renters look at a lease renewal. โ€œLandlords just turned independent buildings into shared pricing networks. The question is not whether operators will use the software, because they already spent years integrating it. The question is how much extra a family will pay every month simply because the algorithm sees tight occupancy across the whole submarket.โ€ Here is how the rent algorithm actually works, how it uses shared data, and the exact steps you need to check your building and negotiate against it.
6
30
41
532
Jane Austen retweeted
Technology is not just changing the way we live; it is transforming the way we think, learn, and connect with the world. ๐ŸŒโœจ We are living in an era where innovation opens new doors, creativity has no limits, and artificial intelligence is creating incredible opportunities for everyone. ๐Ÿš€ The future belongs to those who are willing to learn, adapt, explore, and embrace new ideas. Every small step toward knowledge brings us closer to a smarter and brighter tomorrow. Stay curious, keep learning, believe in innovation, and never stop growing. Because the world is moving forward, and the best way to be part of the future is to prepare for it today! ๐Ÿ’กโค๏ธ Embrace Technology. Inspire Innovation. Build the Future. ๐Ÿ”ฅ #Technology #ArtificialIntelligence #Innovation #DigitalWorld #FutureTechnology #AI #Knowledge #SmartFuture
8
23
38
355
Jane Austen retweeted
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. Theyโ€™re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
6
41
44
683