aacash.eth - Aakash Kumar

4.5K posts

aacash.eth - Aakash Kumar banner
aacash.eth - Aakash Kumar

aacash.eth - Aakash Kumar

@RTinkslinger

MD @z47_vc | Building @DeVC_Global | past @DisneyPlusHS @IndusAppstore @Housing | 2X founder

Mumbai شامل ہوئے Kasım 2009
3.8K فالونگ2.9K فالوورز
aacash.eth - Aakash Kumar
aacash.eth - Aakash Kumar@RTinkslinger·
Scam on a scam #meta
Ryan@ohryansbelt

Delve, a YC-backed compliance startup that raised $32 million, has been accused of systematically faking SOC 2, ISO 27001, HIPAA, and GDPR compliance reports for hundreds of clients. According to a detailed Substack investigation by DeepDelver, a leaked Google spreadsheet containing links to hundreds of confidential draft audit reports revealed that Delve generates auditor conclusions before any auditor reviews evidence, uses the same template across 99.8% of reports, and relies on Indian certification mills operating through empty US shells instead of the "US-based CPA firms" they advertise. Here's the breakdown: > 493 out of 494 leaked SOC 2 reports allegedly contain identical boilerplate text, including the same grammatical errors and nonsensical sentences, with only a company name, logo, org chart, and signature swapped in > Auditor conclusions and test procedures are reportedly pre-written in draft reports before clients even provide their company description, which would violate AICPA independence rules requiring auditors to independently design tests and form conclusions > All 259 Type II reports claim zero security incidents, zero personnel changes, zero customer terminations, and zero cyber incidents during the observation period, with identical "unable to test" conclusions across every client > Delve's "US-based auditors" are actually Accorp and Gradient, described as Indian certification mills operating through US shell entities. 99%+ of clients reportedly went through one of these two firms over the past 6 months > The platform allegedly publishes fully populated trust pages claiming vulnerability scanning, pentesting, and data recovery simulations before any compliance work has been done > Delve pre-fabricates board meeting minutes, risk assessments, security incident simulations, and employee evidence that clients can adopt with a single click, according to the author > Most "integrations" are just containers for manual screenshots with no actual API connections. The author describes the platform as a "SOC 2 template pack with a thin SaaS wrapper" > When the leak was exposed, CEO Karun Kaushik emailed clients calling the allegations "falsified claims" from an "AI-generated email" and stated no sensitive data was accessed, while the reports themselves contained private signatures and confidential architecture diagrams > Companies relying on these reports could face criminal liability under HIPAA and fines up to 4% of global revenue under GDPR for compliance violations they believed were resolved > When clients threaten to leave, Delve reportedly pairs them with an external vCISO for manual off-platform work, which the author argues proves their own platform can't deliver real compliance > Delve's sales price dropped from $15,000 to $6,000 with ISO 27001 and a penetration test thrown in when a client mentioned considering a competitor

English
1
0
4
1K
aacash.eth - Aakash Kumar ری ٹویٹ کیا
martin_casado
martin_casado@martin_casado·
Conversation with @vishalmisra where he goes into detail of how LLMs are *exactly* Bayesian. He demonstrates this both empirically and formally. This is foundational work on the capabilities (and limitations) of LLMs. youtube.com/watch?v=zwDmKs…
YouTube video
YouTube
English
5
10
70
27.8K
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Hasan Toor
Hasan Toor@hasantoxr·
🚨 BREAKING: Composio just open sourced a tool that lets you run 30 AI coding agents in parallel on your codebase. It's called Agent Orchestrator and it's sitting at 4.1k stars for a reason. One command spawns an agent. It gets its own git worktree, its own branch, its own PR. CI fails? Agent fixes it. Reviewer leaves comments? Agent addresses them. Here's what it actually handles: → Spawns parallel Claude Code, Codex, or Aider agents → Isolated git worktrees so agents never step on each other → Auto-fixes CI failures by sending logs back to the agent → Auto-addresses code review comments without you touching anything → Real-time dashboard at localhost :3000 to supervise everything → Notifies you only when human judgment is actually needed One command: ao spawn my-project 123 That's it. Without this, you're manually creating branches, babysitting agents, reading CI logs, forwarding review comments, and tracking which PRs are ready. With this, you spawn and walk away. This is the missing coordination layer every team running AI agents in production needs. 100% Open Source. MIT License. Built by Composio. (Link in comments)
Hasan Toor tweet media
English
32
117
773
74.4K
Hasan Toor
Hasan Toor@hasantoxr·
🚨 BREAKING: Activeloop just dropped the missing memory layer for AI agents. It's called Deeplake and it's solving the problem every agent builder hits at scale. Filesystems break when agents run concurrently. Legacy DBs take minutes to provision and charge you whether your agent is working or idle. Here's what Deeplake actually does: → Spins up a sandboxed Postgres instance per agent in seconds → Scales up to handle 50 sub-agents, scales to zero when done → Stores structured data, images, video, and PDFs in one place → Agents get isolated sandboxes so they never step on each other → Speculative branching so agents can test without breaking production → Data lives in S3, so agents get infinite durable memory One command: npx skills add activeloopai/deeplake-skills That's it. Without this, you're juggling a vector DB for embeddings, an S3 bucket for images, and a JSON file for relational state. Three tools. Three points of failure. With Deeplake, your agent gets one sandboxed, multimodal Postgres instance and walks away. This is the data runtime AI agents actually need. Pay for what your agents use. Nothing more.
Davit@DBuniatyan

x.com/i/article/2033…

English
13
12
69
15.8K
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Arvind Jain
Arvind Jain@jainarvind·
MCP isn’t dead – it was just pointed at the wrong problem. On your laptop, CLIs and ad-hoc wrappers win. But at company scale, you need central auth, shared telemetry, and one integration surface for every AI host, and that’s exactly where remote MCP servers start to shine.
Tony Gentilcore@tonygentilcore

x.com/i/article/2033…

English
8
7
83
18.7K
Sumnesh
Sumnesh@SumneshSalodkar·
@RTinkslinger For me, most edge cases came from social login walls while trying to make it scroll reels and read subreddits. Both that and rate limits had a surprisingly simple fix- giving the agent its own accounts :) curious, what were your biggest bottlenecks?
English
2
0
0
25
aacash.eth - Aakash Kumar
aacash.eth - Aakash Kumar@RTinkslinger·
Accessing my social accounts :) from cloud. local machine works easily, super straight forward with cookie injection from a cred store. cloud agents took plumbing and design for rate limits on platforms, especially LinkedIn. Which needed session context to be setup in the native browser in VM, cred store and injection didn’t work properly (for me Atleast) , for browser crashes during a run had to figure browser reinvication.. lot more :)
English
1
0
0
66
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Suhail
Suhail@Suhail·
The run on inference capacity is coming. You have been warned.
English
92
61
1.1K
452.7K
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Jaya Gupta
Jaya Gupta@JayaGup10·
How do you build a succesful System of Agents? Position at the data source: The most powerful Systems of Agents sit where information is born. They don't wait for data entry into CRMs or ERPs. By capturing data at its origin, they earn the right to orchestrate every downstream action.
English
6
7
110
33.1K
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Ayush Agarwal
Ayush Agarwal@ayushagarwal·
Code reviews would be 80% shorter if people just read their own PR before submitting it.
English
31
30
781
24.4K
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Varun
Varun@varun_mathur·
On Aug 27th, 2025, we presented the idea of an Agentic OS at this keynote event in San Francisco. We demo-ed what a post-IDE world looks like (at 35:22, as @karpathy mentioned recently), and why it requires outrageous ambition. Through multiple breakthroughs across AI, distributed systems, cryptography, game theory, economics, blockchains and UI/UX, we are on the road to agentic general intelligence, the true AGI. This is that vision, posted 6 months after the event, so you can see this indeed is the world which has been rapidly emerging and where we are headed. We are in the endgame now, and all the timelines now converge... 0:00 - Opening remarks 2:37 - What is Hyperspace? The world's largest distributed computing network 4:20 - Why thousands are running agents from home 5:01 - Live scale of this peer-to-peer supercomputer 8:10 - From blockchain experiments to an entirely new OS 10:53 - The hard problem: agents across every OS and environment 12:51 - Early bet on spatial UI and what it taught us 14:59 - The paradigm shift: from chatting with models to deploying agents 17:25 - Why siloed AI apps are a dead end 19:30 - Rethinking the browser for an agentic world 22:12 - The Agentic OS: browser + IDE + payments in one stack 24:33 - Unifying all data, compute, and software on one network 28:10 - Spatial interfaces: why the future isn't chat-based 31:38 - Demo: Exa MCP pulling live data straight into Notion 33:01 - Demo: Parallel browsers and CLIs composing together 35:22 - "There is no next IDE", they all collapse into one 35:47 - Memory as an open protocol, not a company lock-in 37:14 - Demo: How users control and shape agent memory 39:33 - Dynamic cognition: agents that learn and orchestrate across CLIs 41:47 - The Matrix: a Google-scale discovery layer for tools 46:10 - Programmable agents, fair-price auctions, and spot compute 49:40 - Agent-to-agent micropayments — killing the ad model 51:52 - Why we need the broadband infra for agentic commerce 54:32 - The Agentic Virtual Machine 57:48 - Building a new blockchain purpose-built for agents 58:30 - Closing remarks and the journey ahead ps: we are at @HyperspaceAI
English
11
21
163
21.1K
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Naman
Naman@namank·
Systems thinkers have an unfair advantage building AI agents. Break down the full control flow into components and ask the llm to analyze each one for failure modes and conflicting long instructions. Have evals to monitor the output of the full system. Adversarial evals work wonders. Also have evals correcting the output of a component before it becomes input. Keep logs and periodically ask the llm to examine and suggest improvements. Feed in performance score of real world outcomes and let the llm optimize the system.
English
0
1
2
172
aacash.eth - Aakash Kumar ری ٹویٹ کیا
Lily yang
Lily yang@lilyyang169·
The frontier is being built on proprietary research loops. Traditional SaaS is dead. The era of the vertically integrated AI company is here - where research progress becomes product advantage. Join us with @RTinkslinger, @DeVC_Global, @Rahul_J_Mathur, @kristopherfloyd, and @kamath_sutra on Mar 13 for a founder-researcher happy hour + panel with the founders of @smallest_ai and @emilyagent_ai 🍸 We'll dig into: → The Technical Wedge → Closed-Loop Engineering → The Frontier OS Founders. Researchers. Investors. OpenAI, DeepMind, Stanford, Berkeley. Off-the-record. Technical. Forward-looking. First 100 drinks on us 🥂 Last few spots available.
Lily yang tweet media
English
2
3
22
1.3K
advait
advait@lifeofadvait·
@RTinkslinger Are you actually typing these tweets or is it an ai posting agent you’re A/B testing? I don’t expect a human to use ‘#’ is 2026.
English
1
0
0
86
aacash.eth - Aakash Kumar
aacash.eth - Aakash Kumar@RTinkslinger·
There is a new personal computer architecture emerging (almost there), how soon will we see the Mac and iPhone of this era ! Best in class abstraction of Hardware + new personal computer architecture. #itscoming question is from which stable!
English
1
0
0
334
aacash.eth - Aakash Kumar
aacash.eth - Aakash Kumar@RTinkslinger·
People haven’t pushed such setups to their limits yet. Two days back one of my ‘pushes’ of using multiple claude code sessions in parallel on one of my machines (to its peak limits) led to a critical jetsam purge! Multiple system daemons got killed due to memory pressure which triggered a cascade of events which led to a lot of file loss even post recovery. And recovery wasn’t trivial. Love the energy on X and my social circles around claw and everything since. Skeptical of how much people are dabbling with unknowns. Even including their interpretation of AI outputs ** for the intelligence & automation newbies: plausible output != right output. Your ‘AI’ is just great at getting a plausible output. Thats its core behaviour. Right output needs system engineering! Dont trivialise it by calling it just harness and/or context engineering. x.com/rtinkslinger/s…
Tejas Gawande@tejgw

the design alone is stunning, but what @perplexity_ai is building here goes way deeper. Personal Computer is the next big thing: an always-on, local AI that quietly works in the background while you live your life. This is the new default.

English
0
2
11
3.3K