TongHe

646 posts

TongHe banner
TongHe

TongHe

@TongHeConv

@TongHeConv | Building TongHe: shared-room multilingual conversation for families. Translation ≠ inclusion. Seeking voice AI, edge AI & strategic partners.

New Zealand Katılım Haziran 2026
140 Takip Edilen14 Takipçiler
Sabitlenmiş Tweet
TongHe
TongHe@TongHeConv·
TongHe is early. The problem is real. I’m speaking with multilingual families, and the gap is consistent: big companies have improved translation, but live multilingual conversation remains unsolved. Families don’t just need sentence translation. They need help with overlap, interruptions, names, accents, code-switching, context, and people being left out. I’m looking for the right technical and strategic partners to help build the conversation layer after translation.
English
0
0
1
16
TongHe
TongHe@TongHeConv·
@Erica_Wenger This resonates. I’ve only been posting about TongHe for a few weeks and I’ve already had conversations with people across voice AI, speech infrastructure and multilingual technology. The product is early, but the problem keeps attracting the right people. Visibility compounds
English
0
0
0
0
Erica Wenger
Erica Wenger@Erica_Wenger·
Went to an investor bfast this AM and every new investor I met said “I’ve seen your content” or “I’ve heard of PRC” For an industry that’s commoditized like ours/VC (all capital is technically the same), there’s no better or more scalable strategy to stay top-of-mind than media
English
11
1
31
2.1K
TongHe
TongHe@TongHeConv·
@GoogleAIStudio Agentic computer use is advancing rapidly. I’m curious whether similar progress will happen for real-time multilingual group conversations. Controlling software is hard, but understanding multiple humans speaking naturally around a table may be even harder.
English
0
0
0
76
TongHe
TongHe@TongHeConv·
Frontier models are becoming increasingly capable, but many human communication problems remain unsolved. Translation quality has improved dramatically, yet multilingual group conversation is still difficult because the challenge isn’t language alone. It’s turn-taking, interruptions, shared context, relationships, and multiple speakers in the same room
English
0
0
0
335
a16z
a16z@a16z·
We're thrilled to lead Mirendil's $200M seed round. Frontier AI work has been locked inside a few big labs. @MirendilAI is building a system that can help anyone do AI work: they train frontier models that are expert at AI R&D and build the product around it. The result is a system that loops over research and engineering problems on its own, making progress without human intervention. It's like a coding agent built for AI research that controls its own GPUs. Mirendil is one of the few teams with the experience and the priors to make the end-to-end system work. @bneyshabur, @HarshMeh1a, @shayan_, and @tararezaeikh come out of Anthropic, Google DeepMind, and xAI. Welcome to the a16z family, Mirendil. By @BornsteinMatt and @MaikaThoughts
a16z tweet media
Behnam Neyshabur@bneyshabur

Today, I’m excited to formally announce @MirendilAI with my amazing co-founders Harsh Mehta, Shayan Salehian, and Tara Rezaei! We’re fortunate to work with @a16z and @kleinerperkins, who led our seed round of $200M, followed by a major investment from NVIDIA, among others. Mirendil exists to accelerate science and technology, and through them, to help solve humanity's most pressing problems. Self-accelerating AI R&D is the most direct path to delivering on AI's broader promise, which is why we believe the most important application of AI is AI itself. Get this loop right, and it compounds. It fundamentally changes the rate of progress itself across all domains. We believe this capability should be democratized. It should be used to power all scientific efforts trying to innovate at the frontier. There are far more important problems—and broader ones—than any single lab can take on, so more groups should be able to pursue them. This pulls concentration of power away from a few labs: businesses and science labs can own their AI and infrastructure, keep their margins, and control their own destiny instead of ceding it all to a single AI lab. We’re a small team with a singular focus. Our founding team consists of 20 researchers and engineers from frontier institutions including Anthropic, xAI, Google DeepMind, and OpenAI, united by a passion for science and a drive to build the technologies that move it faster. If you want to build the system that builds systems, join us! @HarshMeh1a, @shayan_, @tararezaeikh

English
12
22
297
66.5K
TongHe
TongHe@TongHeConv·
Millions of agents negotiating with each other is fascinating. I keep wondering about the opposite problem: billions of humans still struggle to stay in the same conversation across languages, accents, interruptions, and family context. We may solve agent-to-agent communication before we solve human-to-human communication
English
0
0
0
20
Google DeepMind
Google DeepMind@GoogleDeepMind·
What happens when millions of AI agents start negotiating, transacting, and delegating to one another? @weballergy joined our podcast with @fryrsquared to explore the rise of agentic economies – and how we can diversify agent decision-making to avoid AI groupthink. Timecodes: 00:00 Intro 1:07 Defining AI agents 4:44 Agentic exploration in science and research 15:46 Delegation between agents 22:46 Agentic security and traps 29:31 Building an agentic economy 33:22 Cognitive monoculture 36:29 Distributed intelligence
English
59
59
451
60.5K
TongHe
TongHe@TongHeConv·
The real shift might not be AI becoming more human. It might be humanity becoming more connected than we’re ready for. What do you think this “world brain” actually is?
English
0
0
0
5
TongHe
TongHe@TongHeConv·
Billions of people, models, devices, and conversations are slowly syncing up, connected through language, memory, tools, and feedback loops. It’s not conscious in the traditional sense. But it *is* becoming something larger than any individual model or person.
English
1
0
0
4
TongHe
TongHe@TongHeConv·
What is the “world brain”? We’re watching something emerge that isn’t quite a single AI, and isn’t quite human either.
English
1
0
0
6
TongHe
TongHe@TongHeConv·
@Speechmatics Thanks @Speechmatics, appreciate you engaging again. The gap between accurate transcription and natural family conversation is exactly what we’re focused on.
English
0
0
0
8
TongHe
TongHe@TongHeConv·
Accurate transcription is a critical foundation. The challenge we’re seeing in multilingual families is that even when the words are captured correctly, people can still struggle to stay part of a fast, multi-speaker conversation. Conversation turns, interruptions, shared context, names, and overlapping speech seem to be where the next layer of problems begins. That’s the area we’re exploring with TongHe
English
1
0
1
11
Speechmatics
Speechmatics@Speechmatics·
Real-time AI only truly works when it hears people properly. 🎙️ Accents, pauses, interruptions, multilingual moments: that’s the real test. Chiku AI felt the difference with @Speechmatics Real-Time. Building with live speech? 🌍 Start here: speechmatics.com/product/real-t…
Speechmatics tweet media
English
1
0
1
131
TongHe
TongHe@TongHeConv·
What is the world brain? Are we watching billions of people, models, devices, and conversations begin to synchronise around something larger? Not a “living system” in the biological sense. But an emerging intelligence layer — shaped by human language, memory, tools, culture, and feedback. Maybe the real question is not whether AI becomes conscious. Maybe it is whether humanity is becoming more connected than we understand.
English
0
0
0
6
Elon Musk
Elon Musk@elonmusk·
@yunta_tsai Maybe first attempt at this for Neuralink later this year
English
364
248
3.7K
266.7K
Yun-Ta Tsai
Yun-Ta Tsai@yunta_tsai·
Human-to-human interaction is often bandwidth-bound instead of compute-bound. Thus, the next evolutionary jump would be direct communication in latent space, skipping the long-latency encoder-decoder loop.
English
93
69
1.3K
150.5K
TongHe
TongHe@TongHeConv·
Are we watching billions of people, models, devices, and conversations begin to synchronise around something larger? Not a “living system” in the biological sense. But an emerging intelligence layer…….shaped by human language, memory, tools, culture, and feedback. Maybe the real question is not whether AI becomes conscious. Maybe it is whether humanity is becoming more connected than we understand.
English
0
0
0
3
TongHe
TongHe@TongHeConv·
Can technology help humans communicate naturally without getting in the way?
English
0
0
0
1
TongHe
TongHe@TongHeConv·
AI is becoming more useful as it moves from single tasks to operating within complex real-world systems. In multilingual families, the challenge isn’t translating sentences. It’s maintaining shared context across multiple speakers, languages, interruptions, and relationships. That’s where I think the next frontier lies
English
0
0
0
18
NVIDIA Healthcare
NVIDIA Healthcare@NVIDIAHealth·
Science is entering a new era - one where AI agents can do scientific work. 🧬 Today NVIDIA is launching the BioNeMo Agent Toolkit - an open, agent-ready toolkit that gives any AI agent callable tools for protein structure prediction, molecular docking, generative chemistry, genomic analysis, and more. (1/2)
English
45
202
1.1K
224.5K
TongHe
TongHe@TongHeConv·
I think the overlooked opportunity is not better translation. It is live multilingual conversation. Families do not struggle because a sentence cannot be translated. They struggle because real conversation has interruptions, multiple speakers, shared context, names, accents, and emotion. That gap still feels open.
English
0
0
0
4
Gabriel Jarrosson
Gabriel Jarrosson@GJarrosson·
Only 4 things matter in venture 1. Find the opportunity. 2. Judge it. 3. Win the right to invest. 4. Help the founder build. Mike Volpi ran one of Europe's top venture firms for two decades, and his take is some funds have 60 people doing work that AI can do in seconds. AI and modern software have automated the analytical work that large VC teams used to do manually, this pushes edge to being the investor a founder calls when they're stuck. When they can't get along with their co-founder, the round structure doesn't make sense and everything is on fire etc etc. This only really travels through references. YC is a small, dense, high-trust network. Everyone talks. Do those four things well inside it and the references compound faster than anywhere else in venture.
English
1
0
7
502
Frame
Frame@btcframe·
@TongHeConv That's an interesting insight. Translation helps with words, but shared conversation is really about context, timing, emotion, and keeping everyone engaged in the same moment. Solving that feels like a much bigger opportunity.
English
1
0
0
19
Frame
Frame@btcframe·
Meet Frame. An always-on, AI powered financial intelligence device for your desk. Real-time data. Powerful Voice AI. Beautiful dashboards. Launching soon on Kickstarter. Join the waitlist for exclusive early bird pricing.
English
2
5
23
92.5K
TongHe
TongHe@TongHeConv·
Interesting. Makes me wonder if multilingual conversation has a similar blind spot. Most efforts focus on translation quality, but the families I’ve spoken with struggle more with inclusion, turn-taking, multiple speakers, and staying in the same conversation. Maybe conversation itself is the workflow
English
0
0
0
10
a16z
a16z@a16z·
We're excited to lead Probook's $34M Series A. Every home services business runs on dispatch: which technician goes to which job, in what order, at what time. Almost every AI vendor building for the trades skipped dispatch, instead rushing to build voice agents and chat widgets. @probookai built dispatch first, then expanded outward into intake, data scrubbing, messaging, and outbound. Every customer stays on one text thread from the first call to the technician at the door. @georgeprobook grew up in the trades, pressure washing alongside his dad, and spent a summer inside a $40M HVAC shop before building the software to fix it. Welcome, George, @probookcto, Ben, and the entire Probook team. By @arampell, @dhaber, and @omooretweets
a16z tweet media
George Eliadis@georgeprobook

Announcing $40M in funding from @sequoia and @a16z. I grew up pressure washing houses in upstate New York. Six summers in the truck, missing calls from the top of a ladder because I couldn't hear my phone ring. My co-founder Ben grew up plumbing with his dad in San Francisco. We entered home services because we grew up in it. I spent a summer inside TR Miller, one of the best-run HVAC, plumbing and electrical shops in the country, and their workflows were still raw. The first wave of AI in the trades was point solutions. One tool for voice, one for outbound, one for follow-up. Operators ended up with five vendors and more overhead. Probook is the AI operating system that helps you add points to your EBITDA and run your entire customer experience as one connected system, built around dispatch. Many of America’s largest home service brands run on Probook today. Summers Plumbing booked 2,542 jobs their first month with us, zero human intervention. Anthony PHCE ran 20% more revenue per job on a 50% leaner team. Del-Air more than doubled productivity from 10 to 22 techs per dispatcher. To everyone who trusted us early: thank you. Back to work. We're hiring.

English
21
22
285
87.9K
TongHe
TongHe@TongHeConv·
TongHe. We interviewed multilingual families and found a gap that keeps showing up: Translation tools help individuals. Family conversations are still fragmented. Multiple speakers, interruptions, language switching, shared context, grandparents, parents and children moving between languages in the same room. The problem is bigger than translation accuracy. It is conversation inclusion. Early, but every family interview has reinforced the same signal.
English
0
0
2
17
415 Venture
415 Venture@415venture·
how it works: drop a founder’s @ and make the case. hyped, unknown, funded, unfunded all count. self noms are welcome too. but bring receipts. product, demo, traction, customer love, speed, insight, taste, obsession, anything that made you think: “ok, this person is different.” noms open until June 30 11:59pm. First GOAT drops July 1st 🐐
English
2
0
4
166
415 Venture
415 Venture@415venture·
Starting something new. every month, we crown one SF founder GOAT. hyped, unknown, funded, unfunded, does not matter. the question is simple: who is building something people are going to wish they noticed earlier? drop a founder below 👇
English
3
0
9
8.3K
TongHe
TongHe@TongHeConv·
Serious question for people working in AI: Why has multilingual conversation proven so much harder than multilingual translation? Translation quality keeps improving. But put three people around a dinner table speaking different languages and the experience still breaks down. What are we missing?
English
0
0
0
4
John Andrew Entwistle
John Andrew Entwistle@jaentwistle·
We are acquiring talent-dense teams @wander If you are a startup founder looking for the next phase of your and your team's journey, please reach out to me.
English
16
6
131
167.8K