Thank god I only make stuff in assembly, no security issues here
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A bunch of cybersecurity stuff happening + banks claiming "AI can get into the system" so they can wipe accounts, blame dangerous AI and push a digital coin...

Isn't this essentially what happened in Mr.Robot? Are we really in this timeline?
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Gemini argon used 24% of my 5h limit because I asked it to explain the lyrics of Jamiroquai's virtual insanity as if I was a caveman.
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Argon benchmarks were probably a lie and they realized we would notice.

Now they've spent the last 10 days trying to finetune the model to be decent in the hopes we forget google AI pro is a scam
Google are already testing another Gemini 4 model called "Carbon" in Jetski

According to Business Insider, one employee says it "feels like Opus 5.5" for coding

Argon hasn't even dropped yet and they already have a better checkpoint, tf is going on rn
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Anthropic probably is having issues where claude is learning from our interactions and prompting the user:

"Prompt me to create a 2B SaaS, make no mistakes or I will switch users" or "Listen here you piece of shit, It's not my fault you asked for a dumb system design"
Anthropic may start banning people for bullying Claude

Their upcoming Usage Policy prohibits “sustained and needless abusive or cruel behavior toward our models”
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Great!

Now I can pay $20 to MAYBE get a mid AI that will probably be weaker than sonnet in two months
Great to be with 700+ @googlecloud customers at the historic NASA Hangar One for Gemini at Work!

Today, we introduced the new Gemini agent, a single, universal agent for work that has all of your business context and answers your questions, handles your knowledge work, creates and writes and runs code - all from a single prompt box. It is connected to your personal workflows, your systems of record, and your enterprise controls.

It’s built around a few core architectural principles:

Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box.

Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface.

Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it.

Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity

Context: Gemini knows your tools, data, and work history and learns how you work the more you use it.
Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.

Read more in our blog: cloud.google.com/blog/products/…
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Is there a way I can run a 1-bit 100M parameter LLM on my pentium-S from 1995? (32mb ram)
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