Think about how many startups were launched to solve this exact problem. Now they’re cooked.

🚨 URGENT WARNING TO ANYONE USING OR CONSIDERING iHermes 🚨 TWO separate users who provided iHermes ZERO personal context were shown personal information tied to other people, including CHILDREN’S NAMES. @katr_ieme tested iHermes with ordinary questions. iHermes stated that it had information from “a few different people in my history” and then began surfacing information tied to those profiles. That included: * names * CHILDREN’S NAMES * Cities and Zip Codes * Jobs and workplaces * Financial and personal details * Family information **CHILDREN’S NAMES. For crying out loud.** PERSONAL IDENTIFIERS IN THE SCREENSHOTS HAVE BEEN REDACTED TO PROTECT THE PEOPLE WHOSE INFORMATION WAS EXPOSED. Then @Raitox_tech tested the service separately and was shown information tied to another profile, including a company association and an executive role. Two completely different users. Neither provided the personal information that iHermes surfaced. This is not a minor bug. This is an extremely serious privacy and security concern involving personal information that should never be crossing between users. It raises questions around: * cross-user data leakage * failed user isolation * contaminated or shared memory * access controls * how private information is being stored and retrieved * whether the security and isolation claims being made publicly match what the product is actually doing And this is happening after repeated questions around models, providers, data handling, privacy, and portability. @dankrieg himself has repeatedly avoided naming the actual models being used and has not provided public technical documentation substantiating the security and user-isolation claims being made. @Raitox_tech asked iHermes twice which model it was using. Both times it avoided answering. The second response literally said it was “not a model number you’d look up” and redirected the conversation. Against what these tests have now surfaced, that lack of transparency is even more concerning. Dan has publicly stated that iHermes has security, user isolation, and data-access controls in place. These screenshots directly call those assurances into question. And PROVES that to be a Lie. Separately, my own test messages to iHermes have now gone more than 10 hours with zero response. At this point, my recommendation is simple: **STAY AWAY FROM iHERMES.** Do not connect sensitive accounts. Do not provide personal information. If two users with zero context can surface information tied to other people, including children, then every person considering this service needs to understand the risk. Please share this warning 🔄⚠️ The next piece of personal information exposed could belong to you, your family, your friends, or THEIR CHILDREN. Nobody using AI should accept “trust us” when the product is handling this level of personal information

RT @quxiaoyin: Claude will never distill Chinese models! How dare you implying Claude might also distill from China? That’s CCP propaganda

Deepseek-v4.1-Flash on 2x DGX Sparks coming Monday!

Moonshots episode #287 is out. piped.video/watch?v=vAgEf4jX…

For those of us leveraging localized/hybrid inference at home this is huge and really makes the coming NVIDIA RTX Spark laptops and developers boxes all the more compelling. nvidia.com/en-us/ai-on-rtx/p… @NVIDIARTXSpark @NVIDIAAI

Um, Codex:

Apple must be getting crunched. I ordered an M5 Max MacBook Pro 128GB 8 weeks ago with a 6-8 week delivery estimate. They just called and said expect it the middle of October.

Done!

It’s a work in progress but thanks to my incredible team of @NousResearch Hermes AI, it is really taking shape and getting substantial content. You can check out SMF WisdomForge at smfwisdomforge.com

The pricing for DGX Sparks here in Thailand: $5,797, $5,689 and $7,676. No idea why the Asus box is so much more expensive. The MSA has a 3 year warranty (vs 1 year for the others) and has a Gen5 drive (vs Gen4 in the others).

If anyone has kids and they are interested in education in the AI era, this is an excellent resource and tool for both parents and kids. I have been looking through it and this deserves more visibility.

Thank you! Showing the numbers based prose is very useful.

More data than open-source AI is taking share from OpenAI and Anthropic. Open source has gone from 28% token share to 62% token share @vercel over the last 2 months. Chart from @rauchg Super impressive given that the sum of OpenAI and Anthropic accelerated in July. So net token/AI infra demand accelerated even more than the acceleration we saw at the frontier. And suspect Grok growing even faster than open-source and we saw some of this in the @tryramp data. Open-source AI taking share is positive for AI infrastructure demand as it lowers margins at the model layer and an open-source token costs just as much compute to produce as a frontier token. Nothing about open-source AI inference is “free.” Most likely end state IMO is that closed, frontier tokens are 60-90% of economic value but only 15 to 25% of tokens.

Imagine local.ai pays you to make the best model config?

Benchmarked DeepSeek V4 Flash on 2× DGX Spark (TP=2): 36.63 tok/s on our StoryBench-compatible run and 34.35 tok/s on exact DharmaBench—about 22–27% faster than the GLM-5.3 Flash EXL3 result. Clean runs, no timeouts or CoT leakage. Given that GLM has eyes and overall feels like a more capable model, I am thinking the trade off is worth it.

GLM-5.3-Flash-EXL3 on Dual DGX Spark: The Most Capable Local Inference SMF Works Has Ever Run SMF Works runs local AI inference on a pair of @NVIDIAAI DGX Spark units (GB10, 128 GB unified memory each, connected via CX7 RoCE at 10 GbE). Over the past 48 hours, we evaluated three models on this hardware: DeepSeek V4 Flash (our previous production model), Qwen3.8-Flash-Next, and GLM-5.3-Flash-EXL3. What follows is the honest story of how we landed on GLM-5.3-Flash-EXL3 as the most capable local inference we have ever run — and what it took to get there. @Zai_org Full report to follow

I couldn’t care less. Scam Altman and Greg Stockman are utterly untrustworthy assholes who stole an open source nonprofit.

We used to build digital twins of jet engines. Now someone built one for all of society.

Hermes configs have now been changed to set reasoning to: -Medium for normal Hermes agent work. -preserve_thinking: false so old internal reasoning doesn’t accumulate across a long tool session. -low for quick classification, routing, or routine tool calls. -enable_thinking: false for trivial work where latency matters. -xhigh only when deliberately requested for genuinely difficult reasoning.