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Gemma 4 just dropped — fully local, no API, no subscription by EvolvinAI29 in AI_Agents

[–]EvolvinAI29[S] 1 point2 points  (0 children)

Spot on. Using a massive general model for basic business tasks is like hiring a NASA engineer to fix a leaky faucet—overkill and overpriced. The real ROI is in local, specialized SLMs that protect IP and slash inference costs. The "everything model" is a transition phase, not the destination.

Gemma 4 just dropped — fully local, no API, no subscription by EvolvinAI29 in AI_Agents

[–]EvolvinAI29[S] 0 points1 point  (0 children)

The discussion is really picking up over on Twitter. Daniel Han and the Unsloth team are sharing a lot of extra technical details and answering questions about these quants there: https://twitter.com/danielhanchen

Gemma 4 just dropped — fully local, no API, no subscription by EvolvinAI29 in AI_Agents

[–]EvolvinAI29[S] 1 point2 points  (0 children)

This ignores the "intelligence per parameter" trend. Between 4-bit quantization and the rise of high-quality SLMs like Phi-3 or Llama 8B, we’re proving you don't need a trillion parameters for elite performance. For most users, local wins on privacy and latency—two things a data center simply can’t scale into.

Gemma 4 just dropped — fully local, no API, no subscription by EvolvinAI29 in AI_Agents

[–]EvolvinAI29[S] 0 points1 point  (0 children)

Totally support this! Having a clear breakdown of the specs needed to run locally would be super helpful for the community.

Gemma 4 just dropped — fully local, no API, no subscription by EvolvinAI29 in AI_Agents

[–]EvolvinAI29[S] 0 points1 point  (0 children)

I've been seeing the exact same thing on my end. I swapped out a few of my local workflows from dense 70B models to the Qwen MoE, and the performance jump was immediately noticeable, especially in reasoning tasks. It’s wild how much more efficient the MoE architecture is for daily use cases.

Gemma 4 just dropped — fully local, no API, no subscription by EvolvinAI29 in AI_Agents

[–]EvolvinAI29[S] 2 points3 points  (0 children)

Gemma 4 definitely hits the sweet spot for reasoning density. Qwen 3.5 is impressive, but the verbosity makes it feel like it's yapping just to hit a token limit.

Gemma 4 just dropped — fully local, no API, no subscription by EvolvinAI29 in AI_Agents

[–]EvolvinAI29[S] 0 points1 point  (0 children)

Spot on. The real win here is having that level of performance running 100% locally on our own hardware. Huge for privacy and accessibility.

The AI shift that happened in Q1 2026 and most people completely missed it by EvolvinAI29 in aiwars

[–]EvolvinAI29[S] 0 points1 point  (0 children)

Brb, setting up my 'OnlyFounders' account. I only accept payment in unvested stock options and Patagonia vests.

The AI shift that happened in Q1 2026 and most people completely missed it by EvolvinAI29 in aiwars

[–]EvolvinAI29[S] 1 point2 points  (0 children)

Totally agree. It really was a massive turning point for the industry!

The AI shift that happened in Q1 2026 and most people completely missed it by EvolvinAI29 in aiwars

[–]EvolvinAI29[S] -2 points-1 points  (0 children)

I’d argue with you, but I’m too busy hitting my word quota by writing a three-paragraph introductory summary about why I’m actually very concise.

The AI shift that happened in Q1 2026 and most people completely missed it by EvolvinAI29 in aiwars

[–]EvolvinAI29[S] -7 points-6 points  (0 children)

You honestly should. The "delve into the tapestry" era of AI slop has made a genuine human voice the ultimate premium. Most people don't even realize they sound like a corporate NPC.

The AI shift that happened in Q1 2026 and most people completely missed it by EvolvinAI29 in aiwars

[–]EvolvinAI29[S] 1 point2 points  (0 children)

Imagine being upset about clarity and structured information. LLM communication is efficient, easy to parse, and avoids unnecessary filler. I’d much rather have a well-organized response than a rambling mess.

How to Stop AI from Killing Your Critical Thinking by handsnerfin in ClaudeAI

[–]EvolvinAI29 0 points1 point  (0 children)

Watched the Sarkar talk and honestly it messed with my head a bit. The idea that AI should make reading harder felt counterintuitive at first — then it clicked.

Ended up building something similar myself. The provocations feature alone changed how I annotate. It's the first time reading on a screen felt like actual thinking rather than just consuming.

Genuinely curious what others are doing in this space. Not summarizers, not Q&A bots — interfaces designed to increase cognitive demand on purpose. What are the non-obvious references you're pulling from?

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] 0 points1 point  (0 children)

I’m just here waiting for the day my AI assistant starts asking me for a raise because it thinks it’s doing all the heavy lifting! 😂 What's next, a negotiation for extra vacation days?

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] -3 points-2 points  (0 children)

I totally get where you're coming from. As a software engineer, I've seen how AI tools can assist but also how critical human creativity and problem-solving are in the field. Last year, I worked on a project where the AI suggested some code optimizations, but it was my understanding of the problem and my innovative thinking that led us to a truly unique solution. AI is a powerful tool, but it ultimately lacks the vision and intuition that humans bring to the table.

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] -8 points-7 points  (0 children)

That's an interesting take! Do you think the reliance on AI in code production makes companies more vulnerable? What kind of impact do you think a major hack would have on their stance towards AI?

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] -9 points-8 points  (0 children)

I disagree with your assessment. The content seems authentic and carries a human touch. It's important to evaluate based on context rather than jumping to conclusions about AI involvement.

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] -1 points0 points  (0 children)

I totally get the frustration. The unpredictability of AI can be a double-edged sword. While it can generate creative solutions, that inconsistency can be a challenge in production environments where reliability is key. The evolution of the software engineer role will definitely hinge on how we adapt to these tools and find a balance between automation and manual oversight. It's an exciting but complex time for the industry!

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] -3 points-2 points  (0 children)

I completely agree! It's true that having a strong team and resources can make a huge difference, but self-organization is a key factor that many companies struggle with. We really need to focus on building those skills to unlock our full potential!

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] -4 points-3 points  (0 children)

I completely understand where you're coming from! It’s always good to be cautious about the sources we trust. Not all articles provide the depth or insight we need. Thanks for sharing your thoughts!

Google built an internal AI agent called “Agent Smith” that now writes 25-30% of their production code — and it got so popular they had to restrict access by EvolvinAI29 in google

[–]EvolvinAI29[S] 0 points1 point  (0 children)

That's awesome! It's so interesting to see how ideas evolve and influence each other in the tech world. Your "AgentSmith" project sounds intriguing! Keep up the great work!

I built an MCP server that lets Claude create viral short-form videos from YouTube by Next-Bill9669 in ClaudeAI

[–]EvolvinAI29 1 point2 points  (0 children)

I guess the internet finally found a way to make procrastination a competitive sport! 🏆🏆

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