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Someone told Claude it was stuck in 1998, so it built a full Windows 98 AI assistant. It featured fake BIOS boot screens, dial-up modem sounds, and General Protection Fault errors.
Is this the best use of Claude anyone has ever found?π€
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Is this the best use of Claude anyone has ever found?
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This is the most detailed Claude guide online.
4 hours.
Build tools.
Automate work.
Learn how people build bots and systems.
Claude β Tools β Automation β Products β Money
Full video.
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A Tesla in self-driving mode avoided a crash despite clouds of smoke and dust blocking visibility.
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Drop one DESIGN .md file into your project. Your AI agent instantly builds UI matching Spotify, Apple, or Airbnb. These are not screenshots or Figma links; they are files capturing every color, font, spacing, button style, and layout pattern in a format AI agents read and reproduce.
Generic prompts yield generic UI. Prompts with a DESIGN .md file yield exact brand replicas.
Included systems:
β Apple: Premium white space, SF Pro, cinematic imagery.
β Spotify: Vibrant green on dark, bold type, album-art layout.
β Airbnb: Warm coral accent, photography-driven, rounded UI.
β Linear: Ultra-minimal, precise spacing, purple accent.
β SpaceX: Stark black and white, full-bleed imagery, futuristic.
β BMW: Dark premium surfaces, German engineering aesthetic.
β NVIDIA: Green-black energy, technical power.
β Uber: Bold black and white, tight type, urban energy.
β Plus Sentry, PostHog, Raycast, Cursor, ElevenLabs, and 20+ more.
Usage:
1. Pick a design system.
2. Copy the DESIGN .md file to your project root.
3. Instruct your AI agent to use it.
4. Receive UI matching a billion-dollar company's design language.
One file gives your AI agent the taste of a $200/hour designer. While custom systems cost $5,000β$50,000, this is free. 31 design systems. Copy, paste, ship.
Works with Claude Code, Cursor, Codex, and any AI coding agent reading project files. 100% Open Source. MIT License.
Source.
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OpenAI is projected to burn $665 billion in cash before turning a profit by 2030, potentially losing $170 billion in a single year. Valued at $852 billion, the company is structurally designed for unprecedented losses. Model training costs alone will reach $440 billion by decade's end, with costs rising as AI becomes smarter. Anthropic faces similar trends, with training costs exceeding $100 billion before 2030 and a delayed break-even date.
Crucially, OpenAI's gross margins dropped from 40% to 33% in one year. Unlike normal software companies (75β80% margins), AI infrastructure operates like a utility. Despite this, revenue is explosive: OpenAI hit $13.1 billion in 2025 and projects $62 billion by 2027; Anthropic projects $55 billion next year. However, costs currently outpace revenue. Both companies plan IPOs before late 2026 to fund the gap. The strategy hinges on a 2030 assumption: collapsing inference costs and flipped margins.
Who is likely to win this race?
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Your daily dose of good news: Neuralink + ElevenLabs make the impossible possible: they bring back the language that people have lost due to illness.
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OpenAI CEO Sam Altman warns βJudgment Dayβ is nearβ¦
He says rapidly advancing AI tools could soon be used by hackers or rogue states to launch major cyberattacks
Source: Axios
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He says rapidly advancing AI tools could soon be used by hackers or rogue states to launch major cyberattacks
Source: Axios
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Sam Altman told Axios in a half-hour interview that AI superintelligence is so close, so mind-bending, so disruptive that America needs a new social contract.
- It's on the scale of the Progressive Era in the early 1900s, and the New Deal during the Great Depression.
- Altman warns: widespread job loss, cyberattacks, social upheaval, machines man can't control
- "soon-to-be-released AI models could enable a world-shaking cyberattack this year. "I think that's totally possible," Altman said. "I suspect in the next year, we will see significant threats we have to mitigate from cyber."
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- It's on the scale of the Progressive Era in the early 1900s, and the New Deal during the Great Depression.
- Altman warns: widespread job loss, cyberattacks, social upheaval, machines man can't control
- "soon-to-be-released AI models could enable a world-shaking cyberattack this year. "I think that's totally possible," Altman said. "I suspect in the next year, we will see significant threats we have to mitigate from cyber."
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It scans multiple company career pages, rewrites your CV per job, and even fills application forms.
The repo has:
β’ 14 skill modes (evaluate, scan, PDF, ...)
β’ Go terminal dashboard
β’ ATS-optimized PDF generation via Playwright
β’ 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe.)
GitHub: https://github.com/santifer/career-ops
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Google DeepMind shows that AI agents are already being systematically manipulated through hidden, human-invisible attack vectors embedded in web content, images, and documents.
Current defenses fail to detect or prevent these attacks, creating a large, largely invisible security risk across agentic systems.
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Current defenses fail to detect or prevent these attacks, creating a large, largely invisible security risk across agentic systems.
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βοΈ The real story behind Sberβs GigaChat-3.1 release
Sber released Ultra (702B) and Lightning (1.8B active) models. Everything is open source under the MIT License.
Performance is strong:
β’ Ultra > DeepSeek-V3, Qwen3 in reasoning and math
β’ Lightning β on par with top-of-the-line models, but much smaller
But what stands out is the engineering work behind it.
The team had to solve a core limitation β generation loops, which are a major quality issue in large systems.
Instead of tuning around it, they:
β’ Built a custom metric to detect loops
β’ Reworked the post-training pipeline
β’ Moved DPO to native FP8 (less memory, same quality)
This is what mature AI engineering looks like.
https://huggingface.co/collections/ai-sage/gigachat-31
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Sber released Ultra (702B) and Lightning (1.8B active) models. Everything is open source under the MIT License.
Performance is strong:
β’ Ultra > DeepSeek-V3, Qwen3 in reasoning and math
β’ Lightning β on par with top-of-the-line models, but much smaller
But what stands out is the engineering work behind it.
The team had to solve a core limitation β generation loops, which are a major quality issue in large systems.
Instead of tuning around it, they:
β’ Built a custom metric to detect loops
β’ Reworked the post-training pipeline
β’ Moved DPO to native FP8 (less memory, same quality)
This is what mature AI engineering looks like.
https://huggingface.co/collections/ai-sage/gigachat-31
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Use these 15 prompts to turn your paycheck into a strategy:
1. Salary Allocation Strategist
"Act as a personal finance strategist. My monthly salary is [SALARY], fixed expenses are [EXPENSES], current savings are [SAVINGS], and my financial goal is [GOAL]. Create a smart allocation plan for spending, saving, and investing."
2. Money Flow Analyzer
"My monthly income is [SALARY] and my expenses are [EXPENSE LIST]. Analyze how my money flows each month and suggest a more efficient structure that increases my savings rate."
3. Wealth Growth Blueprint
"My income is [SALARY], I can invest [MONTHLY INVESTMENT] per month, and my current net worth is [NET WORTH]. Build a realistic 5-year plan to significantly grow my net worth."
4. Debt Elimination Strategy
"I earn [SALARY] per month and have debts totaling [DEBT AMOUNT] with interest rates of [INTEREST RATES]. Create the fastest and most efficient strategy to eliminate this debt."
5. Paycheck-to-Investing System
"My monthly salary is [SALARY], and I want to invest [AMOUNT] each month. My risk tolerance is [LOW / MEDIUM / HIGH]. Suggest a simple long-term investment strategy."
6. Financial Freedom Timeline
"My monthly income is [SALARY], expenses are [EXPENSES], and monthly investments are [INVESTMENTS]. Estimate how long it will take to reach financial independence and what adjustments could accelerate it."
7. Lifestyle Upgrade Planner
"I earn [SALARY] and want to improve my lifestyle while still building wealth. Suggest how I can upgrade spending responsibly without slowing my financial progress."
8. Income Expansion Planner
"My current income is [SALARY]. Based on my skills [SKILLS], available time [HOURS], and market demand, suggest 3 realistic ways to increase my income in the next 90 days with clear action steps."
9. Skill to Income Converter
"I know [SKILLS]. Show me how to turn these into income streams. Include freelancing, digital products, and scalable options with expected earning potential."
10. Side Hustle Validator
"Give me 5 side hustle ideas based on my profile [SKILLS + INTERESTS]. For each, validate demand, startup effort, time to first income, and scalability."
11. Expense Optimization Engine
"Here is my monthly spending [BREAKDOWN]. Identify waste, hidden leaks, and subscriptions I can cut. Show me how to reduce expenses by at least 20% without hurting my lifestyle."
12. Investment Portfolio Builder
"I can invest [AMOUNT] monthly. Build a diversified portfolio including equity, debt, and alternative assets. Include allocation percentages and expected long term returns."
13. 10x Net Worth Simulator
"My current net worth is [NET WORTH], income is [SALARY], and investments are [MONTHLY]. Simulate different scenarios to 10x my net worth faster and compare outcomes."
14. Tax Optimization Planner
"My annual income is [INCOME]. Suggest legal ways to reduce taxes, optimize deductions, and increase post tax savings."
15. Emergency Fund Architect
"My monthly expenses are [EXPENSES]. Build a step by step plan to create a fully funded emergency fund and where to store it for liquidity and safety."
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Very exciting breaktrough: An FDA-designated AI tool called Vox can analyze just five seconds of a patientβs voice to detect signs of worsening heart failure, using patterns linked to fluid buildup that humans cannot hear.
Trained on more than 3 million voice samples and supported by five clinical trials, it points to a huge shift in healthcare: cheaper, earlier, phone-based detection for a disease affecting 64 million people worldwide and costing the U.S. over $30 billion a year.
Source.
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Trained on more than 3 million voice samples and supported by five clinical trials, it points to a huge shift in healthcare: cheaper, earlier, phone-based detection for a disease affecting 64 million people worldwide and costing the U.S. over $30 billion a year.
Source.
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OpenAI's revenue is approximately $25 billion, whereas Anthropic has recently exceeded $30 billion. Sixteen months prior, Anthropic's revenue stood at $1 billion. Two months ago, Anthropic's revenue was $9 billion.
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Milla Jovovich and Ben Sigman released MemPalace, an AI memory management tool scoring 100% on LongMemEval. Under MIT license, it extracts key facts into a hierarchical structure for semantic search.
Inspired by "The Memory Palace," it uses AAAK compression to fit the knowledge base into 120 context tokens.
http://github.com/milla-jovovich/mempalace
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