Avi @abhishek_a_i
Content focuses AI, Web3 and Cyber Security ✌️ India Joined January 2015-
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Gemini 2.5, Claude 4, Qwen 3, GPT-OSS, K2, GPT-5, Grok Code, ... One lesson to learn from the releases of the last few months it is that AI coding tools that lock you in to a single model family are very short-sighted bet. My recommendation: pick up a tool that gives you choice…
Codex did what Claude Code should have done (and hopefully still does) An actual, native integration. Not some rebranded terminal windows. Let's go!
Humans don't keep 1M tokens (500K words/2hr video) in the working memory all the time. Instead, we focus working memory on the most critical few tokens, then use long-term memory, external tools, and task segregation (sub-agents) to accomplish the tasks. This is why I'm very…
Humans don't keep 1M tokens (500K words/2hr video) in the working memory all the time. Instead, we focus working memory on the most critical few tokens, then use long-term memory, external tools, and task segregation (sub-agents) to accomplish the tasks. This is why I'm very…
@davidpattersonx Wouldn’t this be by default false because there is no way in the next century that all jobs will be replaced. And to say this will happen in 5 years just makes no sense. Not to mention the assumptions you are making are flawed in that this assumes AI will master every possible…
How much better is modern bluetooth audio compared to the past? The answer is a lot…and also not at all. It all depends on the mode. One-way, with modern codecs (music, etc) is quite good. Headset mode (bidirectional, think zoom calls) is still awful:
@GeoffreyHuntley Building an agent is easy Building one that’s efficient, finds the right context and actually solves your problem - is hard.
Okta open-sources catalog of Auth0 rules for threat detection bleepingcomputer.com/news/security/…
this applies very well to engineering and code
MCP is now the de facto standard for LLM agents 200 developers came to NYC to compete for $10,000+ and prove what’s possible. Here’s what we saw at the Build the Future MCP Hackathon (🧵):
I need horizon beta back bad. It was so good at UI
writing this up one last time because it's still coming up too often writing a coding agent is easy - it's a simple loop with a handful of tool calls you can definitely fuck it up - but it's not hard to look at examples and get it working once you do there are very few knobs…
He is basically saying that companies will move to easy/cheap to build bespoke software U can make a killing by shorting traditional SaaS companies
He is basically saying that companies will move to easy/cheap to build bespoke software U can make a killing by shorting traditional SaaS companies https://t.co/S0vGg9smd0
Horizon Beta is such a fascinating model, i'm so perplexed on what this is. I no longer thing this is GPT 4.2, its just so different from 4.1. 1. It feels like my Pair Programmer mode but infused in the model itself, but also maybe annoyingly so. 2. It asks a ton of questions…
Yes - but not in the way you think. It’s not that it’s WAY smarter. It’s that it stays smarter longer into a session - and the chat is only 200k tokens. Bigger models just handle larger context better than smaller models. Open models at 30B params cannot fight gravity.
Yes - but not in the way you think. It’s not that it’s WAY smarter. It’s that it stays smarter longer into a session - and the chat is only 200k tokens. Bigger models just handle larger context better than smaller models. Open models at 30B params cannot fight gravity.
The reason why Proton is doing this is quite simple, if they have infrastructure in other countries they can't be held hostage by Switzerland Proton is not the bad guy here
The reason why Proton is doing this is quite simple, if they have infrastructure in other countries they can't be held hostage by Switzerland Proton is not the bad guy here
I find this really funny. Sonnet 4 is a great tool caller, but it’s been long beat by Gemini, o3 and grok 4 on actual code writing. Stop conflating tool use capability with code writing capacity.
I find this really funny. Sonnet 4 is a great tool caller, but it’s been long beat by Gemini, o3 and grok 4 on actual code writing. Stop conflating tool use capability with code writing capacity.
@JustinLin610 "Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need" by Bhishma Dedhia, Yuval Kansal, Niraj K. Jha - their method shows how to teach model to make a true CoT of many hops, by synthetic verifiable logic steps
LLMs turn 10x engineers into 1000x engineers, and 1x engineers into 0.1x engineers
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