Co-founder & Builder @airtribe_live. I train small models. Interested in tech, science and art.
Bengaluru, India
Joined March 2008
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Navneet Sharma ⚡️ retweeted
there's few people betting on opensource models more than us
but it's important to be realistic about where they are and the demand for them
there's a big gap still. they are fulfilling an interesting spot in the market but too many people are acting like they're on the verge of killing frontier
Open weights models fall further behind in v5. The leader, Kimi K3.1 Pro (weights not yet released), scores 46, 12 points behind the leader, compared with a 3-point gap in v4.3. Of models with released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) score highest at 32, and Claude Haiku 5.5 (max) outscores all of them.
The gap is widest on HLE-Diamond and Terminal-Bench-Science, where Kimi K3.1 Pro scores 37% and 34%, compared with 68% for Claude Opus 5.5 (max) and 63% for GPT-6 Astra (max).
Navneet Sharma ⚡️ retweeted
The coding interview is dead, at least for my team at Anthropic. I've seen enough to know that it no longer provides signal. I removed it from loops this month.
I have a spicy, optimistic take - I think there's an opportunity for junior engineers: felixrieseberg.com/hunger-be…
the maxed out Mac Studio in India will cost you ~36 lacs - the price you usually pay to buy two reasonably good cars from here.
just wow.
we just bought a new MBP in family a few days before the touchscreen version was slated for launch.
precisely for this reason.
i can also see around me that those bitter about AI and not adapting to the new world have had a challenging last few months.
I'm starting to sense a divide in the tech industry:
- People thriving on autonomy who are reinventing how they work and what tools they use with AI: LOTS of work, but they're enjoying it and getting very efficient
- People used to being mentored / trained / or simply told what to do and how. Frustrated with the lack of guidance from management on what to do with AI; also frustrated by seeing some of their peers thriving; increasingly bitter about AI and the state of the industry, as a whole
Neither group seems to be aware that there's another group, or have empathy for the other group
Navneet Sharma ⚡️ retweeted
video creation and game making are going to become widely distributed foundations of knowledge work in the same way doc and deck creation are today
many won’t agree with this but they know deep down it’s true.
Revolut CEO Nik Storonsky: “The US is not that competitive. Europe is even less competitive.”
“China is competitive.”
“China is 9/9/6. Even if you are good in Europe, or in the US, how can you out-compete the people who work 9:00 to 9:00, six days a week?”
“I started in a co-working space with 140 companies. Within 5 years, only 3 companies survived. They all worked on the weekends.”
“Within 10 years, only 2 companies survived out of 140.”
“Working weekends is a must if you want to survive. Purely statistically.”
Navneet Sharma ⚡️ retweeted
If your company refers to engineers as the IT department, you have nothing to worry about. You were already breached last week.
Navneet Sharma ⚡️ retweeted
There must exists an app with PHP, deployed on Railway, with calls to cURL, with other services written in node that use Brotli compression running on a couple day old Linux, with their code self managed on GitLab
They are having a hell of a week
Navneet Sharma ⚡️ retweeted
Every company's goal should be to reach Lana Del Rey-level brand clarity.
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
DeepSeek team has done more for equitable distribution of foundational AI tech than both OpenAI and Anthropic combined.
AI is progressing rapidly in two directions:
1. bigger and bigger models running on biggest compute clusters.
2. small models with full stack of tools mimicking frontier AI development and inference.
Introducing MLX-LM-LoRA v5.9.0
This brings LLM training to your AI agent through MCP.
Describe what you want in plain language. Your agent can validate the training config, launch a fine-tune on Apple Silicon, monitor progress, inspect logs, and stop the run.
The goal: make improving an LLM something you can ask for in a conversation.........or automate.
This is a first step toward automating the improvement loop aka RSI for everyone: evaluate → train → evaluate → iterate.
How to use it:
python3 -m pip install -U "mlx-lm-lora[mcp]"
Codex: codex mcp add mlx-lm-lora -- /full/path/to/mlx-lm-lora-mcp
Claude-Code: claude mcp add --transport stdio --scope user mlx-lm-lora -- /full/path/to/mlx-lm-lora-mcp
Install the skill: npx skills add Goekdeniz-Guelmez/mlx-lm-lora --skill mlx-lm-lora -a codex -a claude-code -g
github.com/Goekdeniz-Guelmez…