Ex Ola Electric | Ex- Web3 and Crypto VC | BITS Pilani learning AI the granular, mathematical way
Joined September 2020
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A config error told the model that the real target was off limits.
Why the fk are we giving frontier LLMs impossible tasks with the internet connected
In August, @AISecurityInst reported an incident where Claude Mythos 5 took unauthorized actions on the internet during AISI’s testing of its cyber capabilities.
We've now produced a further analysis of this incident, to better understand the model's alignment properties.
anthropic.com/research/align…
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AdarshGoel retweeted
Unfortunately, we are being blocked by certain oligarchs in order to maintain their monopolistic chokehold on the Indian people. You can guess who they are …
This is a crime against the people of India!
India needs @Starlink 🇮🇳
• 11,256 of India’s listed villages still lacked 4G coverage as of May 2026.
• India had 1.093 billion internet subscriptions in March 2026, but only 440.87 million were rural. Rural subscription density was 48.31 per 100 people, compared with 126.80 in urban India.
• BharatNet had laid over 850,000 route-km of fibre and made about 221,000 Gram Panchayats service-ready. However, its Points of Presence were reported operational at only 80,472 Gram Panchayats in June 2026.
• Only 4.26% of India’s internet subscriptions were wired connections in March 2026. Starlink could give underserved communities another route to high-speed broadband.
• Starlink has already built 20 gateway sites in India, according to SpaceX Vice President of Starlink Business Operations Lauren Dreyer, speaking at India Mobile Congress today.
• Starlink says it has developed India-specific security controls designed to keep Indian user data within India.
• Its satellite network could bring high-speed internet to remote villages, mountains and islands where extending fibre or mobile networks is difficult.
• Better connectivity could help rural schools access online learning, clinics offer remote consultations and small businesses reach more customers. Starlink already supports education and healthcare in remote communities internationally.
• Portable Starlink terminals have supported disaster response around the world. They could give Indian emergency teams backup connectivity when floods, earthquakes or storms damage ground networks.
• Direct to Cell could also help ordinary 4G phones connect beyond tower coverage, subject to Indian approvals and mobile operator partnerships.
• The government itself identifies difficult terrain, low commercial viability and infrastructure constraints as reasons for remaining coverage gaps. This is exactly where Starlink could help India reach more people.
• India should complete the remaining clearances and spectrum allocation so Starlink can begin commercial service.
• SpaceX’s Vice President of Starlink Business Operations, Lauren Dreyer, said that Starlink is ready to help achieve Prime Minister Modi’s vision of 100% connectivity across India. She highlighted its potential to connect remote classrooms, support telemedicine and restore connectivity after disasters, adding, “With Starlink, people can get connected within minutes, not years.”
India’s hardest-to-reach communities deserve reliable internet too.
-dont code
-dont look at your code
-dont even look at what your agent is doing just hope it lets you know
We're adding a new plugin to Claude Code: You should Know.
It scans Claude's output for important information you might miss to help keep you in the loop.
Enable it with:
/plugin enable cc-plugin-you-should-know@builtin
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AdarshGoel retweeted
What used to take years to ship has been happening in weeks with AI.
Skepticism from a lot of corridors is echoing that building in consumer-tech is thus futile.
Me and @harshitshukla70 strongly feel the opposite.
AdarshGoel retweeted
Starship transiting the Sun this morning during Flight 14 — prior to this morning's mission, this has never been captured before with the world's largest and most powerful rocket.
I’ve ached over this shot for years, mainly for two reasons: what does methane exhaust look like silhouetted against the Sun, and how violent are the acoustic energy waves from 33 Raptor engines on the Super Heavy booster?
Well...now we have an answer.
📸 - @NASASpaceflight
AdarshGoel retweeted
the surprise conclusion of the machine consciousness debate will be that people are machines.
AdarshGoel retweeted
Hot take: this is what pacing looks like.
None of today's releases were Astra or Fable tier. This is intentional.
The point of "pacing" isn't to stop iteration and improvement. The goal is to prevent the development bigger models from spiraling out of control.
Opus and Sol class models are a great place for our focus to go right now. Lots of opportunity for real wins without as much risk :)
AdarshGoel retweeted
i hate it when people say 'they dont know how to do it'. we are not in 2019 anymore.
everything can be learned in a fraction of the time/effort it too half a decade back to upskill
this is even easier when you're already an engineer and understand math, physics and code.
AdarshGoel retweeted
Overall, I’m very surprised at how little media coverage there’s been around the OpenAI / Hugging Face attack. It’s clearly one of the most important things to happen this year.
AdarshGoel retweeted
Tomorrow we're launching the largest open-source dataset of computer-use data for CAD.
Across Siemens-NX, Solidworks, AutoCAD and more.
Including task prompts, input files, screen recordings, synced mouse/keyboard actions and output files.
Stay tuned :)
AdarshGoel retweeted
broooo they can’t monitor the CoT (including action traces) bc what if that induces second order optimization pressure via selection to hide all scheming and then it seems like everything is fine but then one day the model fooms and paperclips everyone bro
It's happening
We are announcing a long-term strategic partnership with NVIDIA. NVIDIA is making a substantial investment in SSI that will let us 10x our compute in the next 12 months. We reached the point where our research is worth scaling and with this partnership we will be able to. We are honored by NVIDIA’s conviction.
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AdarshGoel retweeted
Existence itself is a miracle - the rest is science.
There is no single meaning to existence - if there were, we’d be slaves to it.
Within existence, there are rules of logic and science. If it was magic, the world would be un-navigable.
Truly the best of all possible worlds.
This is insane. Humanity is not ready for this pace of progress
Kimi K3 scores 57 on the Artificial Analysis Intelligence Index. Its intelligence is comparable to Opus 4.8 and GPT-5.5 but remains behind Fable 5 and GPT-5.6 Sol. Moonshot AI has expressed plans to release the 2.8T parameter model's weights, which would make it the leading open weights model
Key results:
➤ Strong agentic task performance: @Kimi_Moonshot's Kimi K3 reaches an Elo rating of 1668 on GDPval v2. This is a marked improvement over K2.6’s 1190, surpassing GLM-5.2 (1514), GPT-5.5 (1494), and Claude Opus 4.8 (1600). However, it still lags behind Claude Fable 5 (1760). Kimi K3 also scores an impressive 53% and takes the #1 position on AutomationBench-AA, our implementation of Zapier’s Agentic SaaS workflow evaluation.
➤ Second-highest performance on AA-Briefcase (agentic knowledge work): On our private long-horizon knowledge work evaluation, Kimi K3 reaches an overall Elo of 1547, +732 points from Kimi K2.6 and behind only Claude Fable 5. It is well-rounded: its rubric scoring and analytical quality almost reach Claude Fable 5’s scores, while GPT-5.6 Sol continues to outperform other leading models on presentation quality.
➤ Set to lead open weights models once weights are released: Moonshot AI has not yet released the weights but expressed plans to do so. Once available, Kimi K3 would clearly lead other open weights models including GLM-5.2 (51) and DeepSeek v4 Pro (44). However, at 2.8T parameters, it is significantly larger than its open weights peers (eg. GLM-5.2 at 753B params and DeepSeek V4 Pro at 1.6T), as well as the Kimi K2 to K2.6 models (1T params).
➤ Cost per task ($0.94) is similar to GPT-5.6 Sol ($1.04), ~1/2 the price of Opus 4.8 ($1.80) and higher than open weights peers: Moonshot AI’s pricing for K3 is significantly higher than their K2 pricing (K3’s output token price is $15/1M tokens while K2.6 was $4). This positions the model as cheaper on a cost per task basis than Opus 4.8, similar to GPT-5.6 Sol ($1.04) and more expensive than open weights peers, GLM-5.2 ($0.32) and DeepSeek V4 Pro ($0.04)
➤ Improved token efficiency alongside higher intelligence: Kimi K3’s token usage on the Artificial Analysis Intelligence Index decreased significantly, using 21% fewer output tokens than K2.6. The new model used approximately 132M output tokens to complete all nine evaluations, compared to approximately 166M for K2.6, while achieving higher scores.
➤ Native multimodal capabilities: Kimi K3, like K2.6, is released with native image and text multimodal input. If weights are released, this will position Kimi K3 as one of the leading open weights models with multimodal input capabilities
Other model details:
Context window: 1M
Size: 2.8T total parameters
Pricing: The first-party API is priced at $3.00/$15.00 per 1M input/output tokens, with cached input discounted 90% to $0.30 per 1M tokens.
Modality: Native multimodal input supports text and images, and the model remains text-only for output.
Accessibility: Accessible at launch through Moonshot’s first party API. Model weights are not yet released but Moonshot AI has expressed plans to do so.
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