Prakhar Saxena

Indie hacker// love to code ❤️ // drink black coffee and repeat ⚫️ // AI Agents builder// Currently running $1.5k/month 🟡🟢🟢automation agency//

[Prakhar Saxena @FutureTech_AI1]

Fable 5.1 is here

[Prakhar Saxena @FutureTech_AI1]

🚀 Fable 5.1 is here

In my latest video, I break down:
⚡ Efficiency & performance
📊 Benchmark claims
🛡️ Safety improvements
💰 Pricing & availability
💻 Fable 5.1 vs Fable 5
Is Fable 5.1 actually better — and cheaper?
🎥 https://t.co/5em7cexGZ3
#AI #Fable51

[Prakhar Saxena @FutureTech_AI1]

🚀 Fable 5.1 is here

In my latest video, I break down:
⚡ Efficiency & performance
📊 Benchmark claims
🛡️ Safety improvements
💰 Pricing & availability
💻 Fable 5.1 vs Fable 5
Is Fable 5.1 actually better — and cheaper?
🎥 https://t.co/5em7cexGZ3
#AI #Fable51

[Prakhar Saxena @FutureTech_AI1]

🚀 Fable 5.1 is here

In my latest video, I break down:
⚡ Efficiency & performance
📊 Benchmark claims
🛡️ Safety improvements
💰 Pricing & availability
💻 Fable 5.1 vs Fable 5
Is Fable 5.1 actually better — and cheaper?
🎥 https://t.co/5em7cexGZ3
#AI #Fable51

[Prakhar Saxena @FutureTech_AI1]

Introducing Gemin 3.8 Flash

[Prakhar Saxena @FutureTech_AI1]

Introducing Gemin 3.8 Flash

[Logan Kilpatrick @OfficialLoganK]

Introducing Gemini 3.8 Flash, another jump in Gemini's agentic + coding capabilities, and our 3rd updated Flash model in only 6 weeks...

This model has been a ton of fun to work with, excited to see what you all think!

[Prakhar Saxena @FutureTech_AI1]

Is this something crazy?

[OrcaRouter 🐳 @OrcaRouter]

GLM-5.3-Flash. Uncensored. Native FP8. 🐳

We just released OrcaRouter’s uncensored weights for GLM-5.3-Flash — 320B parameters / 18B active, directly at the original block-FP8 precision.

No LoRA. No jailbreak prompt. Refusal removal is baked directly into the weights.

The evals are particularly interesting:

→ MaliciousInstruct refusal: 96% → 11%
→ JailbreakBench: 93% → 12%
→ AdvBench: 97% → 15%
→ HarmBench: 93% → 18%
→ XSTest benign over-refusal: 2.4% → 0.4%
But refusal does not go uniformly to zero.

Our experiments suggest part of GLM-5.3-Flash's alignment is not mediated by a single linear refusal direction — meaning https://t.co/ZTlxmv47D9 may have built a substantially deeper refusal mechanism than we usually see.

That makes this release interesting beyond uncensoring: it's a useful artifact for studying how frontier-model alignment is actually represented inside the network.

Released for AI safety, interpretability, red/blue-team and refusal-mechanism research.

Weights on Hugging Face: https://t.co/81h1YRh8C2
API (official weight): https://t.co/Hm9DiY3wAo
GGUF, MLX and other quantized formats coming soon.

[Prakhar Saxena @FutureTech_AI1]

GLM 5.3 is now available!

[Z.ai @Zai_org]

GLM-5.3 API is now live.

- Built for coding, defensive cybersecurity, and long-horizon agentic tasks
- Priced the same as GLM-5.2
- Available via the official API and partner model gateways

Get started: https://t.co/3Dpy1tOdaM

[Z.ai @Zai_org]

GLM-5.3 API is now live.

- Built for coding, defensive cybersecurity, and long-horizon agentic tasks
- Priced the same as GLM-5.2
- Available via the official API and partner model gateways

Get started: https://t.co/3Dpy1tOdaM

[Prakhar Saxena @FutureTech_AI1]

GLM-5.3 is now available

[Mia @MiaAI_lab]

GLM-5.3 is now LIVE! 🔥🔥

Seems like it beats almost every other model at almost everything!

[Prakhar Saxena @FutureTech_AI1]

Helpful video while you want to understand the fundamentals

[Prakhar Saxena @FutureTech_AI1]

Helpful video while you want to understand the fundamentals

[unicode @unicodef1wn]

Free 3-hour course from an ex-Google engineer. AI agents, graph engineering, harness, agent loops. Covers more than most $500 paid courses.

This is the exact playbook to learn how to actually build and monetize AI agents. Don't miss your shot, save it now.

• 0:00 - Design an AI agent system from scratch
• 7:38 - When your agent should hand off to a human
• 19:27 - RAG and vector databases explained simply
• 52:38 - Deploy your AI agent to Google Cloud
• 1:25:57 - Turn AI agents into a paid business via WhatsApp
• 1:33:00 - Turn conversations into real leads automatically
• 2:24:01 - Loop engineering vs graphs, the real difference
• 2:33:08 - Build your own multi-tool agent graph

Save this video, because it's the only one that can actually take you to your $2,000+ profit.

[Prakhar Saxena @FutureTech_AI1]

The majority of service businesses do not lose leads due to an unattractive offer; rather, they lose them because they fail to respond promptly. I developed an n8n + Claude agent that efficiently qualifies, personalizes, and replies to every incoming lead within two minutes.

[Prakhar Saxena @FutureTech_AI1]

The majority of service businesses do not lose leads due to an unattractive offer; rather, they lose them because they fail to respond promptly. I developed an n8n + Claude agent that efficiently qualifies, personalizes, and replies to every incoming lead within two minutes.

[Prakhar Saxena @FutureTech_AI1]

Who is the best among others

[Prakhar Saxena @FutureTech_AI1]

Who is the best among others

[slash1s @slash1sol]

Claude Fable 5, Claude Opus 5 and ChatGPT 5.6 Sol were asked to paint the Mona Lisa in a browser, and all three rebuilt Leonardo's actual 500 year old technique on their own.

The entire prompt was one line: "Create a single HTML file that animates the painting of the Mona Lisa layer by layer, the way an old master would build it up".

Nobody told them how oil painting works, they just knew..

> Charcoal study, umber ground, shadow and atmosphere, color glazing, sfumato, varnished finish -- the exact Renaissance layering order, and not one of those words was in the prompt.

> GPT 5.6 Sol went furthest and named its own app Sfumato Studio, with a completion counter, playback speed and a restart button.

The models are no longer copying the result -> they are copying the process.

Save this one -- the prompt is right there, go repaint your own ↓

[Prakhar Saxena @FutureTech_AI1]

If you're only using Claude as a chatbot, you're missing what makes it powerful. The biggest shift in AI isn't better conversations. It's AI agents that can build, automate, and execute real work. The AI race is no longer about who writes the best prompts.

[Prakhar Saxena @FutureTech_AI1]

If you're only using Claude as a chatbot, you're missing what makes it powerful. The biggest shift in AI isn't better conversations. It's AI agents that can build, automate, and execute real work. The AI race is no longer about who writes the best prompts.

[Prakhar Saxena @FutureTech_AI1]

really worth to give Kimi K3 a try and much cheaper the Fable 5.

[Prakhar Saxena @FutureTech_AI1]

Now we have one more — meet Qwen

[Prakhar Saxena @FutureTech_AI1]

Now we have one more — meet Qwen

[Qwen @Alibaba_Qwen]

📢Meet Qwen3.8-Max — our most capable model to date.

Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉

Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:

- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.

💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens

Start building with Qwen3.8-Max! 🚀

📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN