DaaX.ai
@daax-ai.bsky.social
Most Trustworthy Agentic Enterprise Search
Neither the LLM Nor the Symbolic System Works Alone.
Only together do they work "like magic." In this clip from our TokenDrop podcast S1E24, we explain why DaaX's own tagline — LLMs need a helping hand — is exactly what made OpenAI's Navier-Stokes result possible
Full episode at daax.ai/s/l99eg5
Only together do they work "like magic." In this clip from our TokenDrop podcast S1E24, we explain why DaaX's own tagline — LLMs need a helping hand — is exactly what made OpenAI's Navier-Stokes result possible
Full episode at daax.ai/s/l99eg5
September 16, 2026 at 5:22 PM
Neither the LLM Nor the Symbolic System Works Alone.
Only together do they work "like magic." In this clip from our TokenDrop podcast S1E24, we explain why DaaX's own tagline — LLMs need a helping hand — is exactly what made OpenAI's Navier-Stokes result possible
Full episode at daax.ai/s/l99eg5
Only together do they work "like magic." In this clip from our TokenDrop podcast S1E24, we explain why DaaX's own tagline — LLMs need a helping hand — is exactly what made OpenAI's Navier-Stokes result possible
Full episode at daax.ai/s/l99eg5
It wasn't peer review. It was 10,000 AI agents informally arguing with each other until the wrong answers got weeded out.
Clip from our TokenDrop podcast S1E24 on OpenAI's Navier-Stokes result.
Watch full episode daax.ai/s/l99eg5
#AI #NeuroSymbolic
Clip from our TokenDrop podcast S1E24 on OpenAI's Navier-Stokes result.
Watch full episode daax.ai/s/l99eg5
#AI #NeuroSymbolic
September 15, 2026 at 3:05 PM
It wasn't peer review. It was 10,000 AI agents informally arguing with each other until the wrong answers got weeded out.
Clip from our TokenDrop podcast S1E24 on OpenAI's Navier-Stokes result.
Watch full episode daax.ai/s/l99eg5
#AI #NeuroSymbolic
Clip from our TokenDrop podcast S1E24 on OpenAI's Navier-Stokes result.
Watch full episode daax.ai/s/l99eg5
#AI #NeuroSymbolic
A Verifier That Just Says "Wrong" Isn't Enough
The real innovation behind OpenAI's Navier-Stokes result wasn't scale. It's a verifier that hands back a counterexample instead of a flat rejection. In this TokenDrop S1E24 clip, we explain why that distinction matters
Full episode daax.ai/s/l99eg5
The real innovation behind OpenAI's Navier-Stokes result wasn't scale. It's a verifier that hands back a counterexample instead of a flat rejection. In this TokenDrop S1E24 clip, we explain why that distinction matters
Full episode daax.ai/s/l99eg5
September 14, 2026 at 7:04 PM
A Verifier That Just Says "Wrong" Isn't Enough
The real innovation behind OpenAI's Navier-Stokes result wasn't scale. It's a verifier that hands back a counterexample instead of a flat rejection. In this TokenDrop S1E24 clip, we explain why that distinction matters
Full episode daax.ai/s/l99eg5
The real innovation behind OpenAI's Navier-Stokes result wasn't scale. It's a verifier that hands back a counterexample instead of a flat rejection. In this TokenDrop S1E24 clip, we explain why that distinction matters
Full episode daax.ai/s/l99eg5
Would 10,000 Monkeys Have Solved This Faster?
OpenAI took 88 hours to disprove global regularity for Navier-Stokes using 10,000 AI agents.
In this clip from TokenDrop S1E24, we explain why intelligence, not just compute, is what turned 88 years into 88 hours.
Full episode at daax.ai/s/l99eg5
OpenAI took 88 hours to disprove global regularity for Navier-Stokes using 10,000 AI agents.
In this clip from TokenDrop S1E24, we explain why intelligence, not just compute, is what turned 88 years into 88 hours.
Full episode at daax.ai/s/l99eg5
September 14, 2026 at 5:06 AM
Would 10,000 Monkeys Have Solved This Faster?
OpenAI took 88 hours to disprove global regularity for Navier-Stokes using 10,000 AI agents.
In this clip from TokenDrop S1E24, we explain why intelligence, not just compute, is what turned 88 years into 88 hours.
Full episode at daax.ai/s/l99eg5
OpenAI took 88 hours to disprove global regularity for Navier-Stokes using 10,000 AI agents.
In this clip from TokenDrop S1E24, we explain why intelligence, not just compute, is what turned 88 years into 88 hours.
Full episode at daax.ai/s/l99eg5
This week's Token Drop podcast: 10K Agents, 88 Hours: What OpenAI's Navier-Stokes Proof Reveals About Neuro-Symbolic AI
Watch daax.ai/s/l99eg5
OpenAI found a counterexample for Navier-Stokes. This episode asks the more interesting question: how did they converge?
Watch daax.ai/s/l99eg5
OpenAI found a counterexample for Navier-Stokes. This episode asks the more interesting question: how did they converge?
September 12, 2026 at 3:12 PM
This week's Token Drop podcast: 10K Agents, 88 Hours: What OpenAI's Navier-Stokes Proof Reveals About Neuro-Symbolic AI
Watch daax.ai/s/l99eg5
OpenAI found a counterexample for Navier-Stokes. This episode asks the more interesting question: how did they converge?
Watch daax.ai/s/l99eg5
OpenAI found a counterexample for Navier-Stokes. This episode asks the more interesting question: how did they converge?
A raw LLM is powerful, but power without control is a liability.
Clip from TokenDrop podcast S1E23 on what a "harness" is actually for.
Full episode at daax.ai/s/6hei0r
#LLMs #EnterpriseAI
Clip from TokenDrop podcast S1E23 on what a "harness" is actually for.
Full episode at daax.ai/s/6hei0r
#LLMs #EnterpriseAI
September 11, 2026 at 2:33 AM
A raw LLM is powerful, but power without control is a liability.
Clip from TokenDrop podcast S1E23 on what a "harness" is actually for.
Full episode at daax.ai/s/6hei0r
#LLMs #EnterpriseAI
Clip from TokenDrop podcast S1E23 on what a "harness" is actually for.
Full episode at daax.ai/s/6hei0r
#LLMs #EnterpriseAI
AI Hallucinations: Why YOU MUST Verify LLM Outputs!
LLMs like don't "know" facts, they predict what sounds right. In this clip from TokenDrop S1E23, we discuss why hallucinations happen & what to do to catch them before they cost you.
Full episode daax.ai/s/6hei0r
LLMs like don't "know" facts, they predict what sounds right. In this clip from TokenDrop S1E23, we discuss why hallucinations happen & what to do to catch them before they cost you.
Full episode daax.ai/s/6hei0r
September 9, 2026 at 9:26 PM
AI Hallucinations: Why YOU MUST Verify LLM Outputs!
LLMs like don't "know" facts, they predict what sounds right. In this clip from TokenDrop S1E23, we discuss why hallucinations happen & what to do to catch them before they cost you.
Full episode daax.ai/s/6hei0r
LLMs like don't "know" facts, they predict what sounds right. In this clip from TokenDrop S1E23, we discuss why hallucinations happen & what to do to catch them before they cost you.
Full episode daax.ai/s/6hei0r
"I need Spanner" for a 2GB database
This clip from TokenDrop podcast starts with a joke that lands a real point: a Google engineer leaves for a startup, needs to build a 2GB database, and says "I need Spanner, I need Bigtable." Most problems don't need that scale
Full episode daax.ai/s/62fsvz
This clip from TokenDrop podcast starts with a joke that lands a real point: a Google engineer leaves for a startup, needs to build a 2GB database, and says "I need Spanner, I need Bigtable." Most problems don't need that scale
Full episode daax.ai/s/62fsvz
September 6, 2026 at 6:17 PM
"I need Spanner" for a 2GB database
This clip from TokenDrop podcast starts with a joke that lands a real point: a Google engineer leaves for a startup, needs to build a 2GB database, and says "I need Spanner, I need Bigtable." Most problems don't need that scale
Full episode daax.ai/s/62fsvz
This clip from TokenDrop podcast starts with a joke that lands a real point: a Google engineer leaves for a startup, needs to build a 2GB database, and says "I need Spanner, I need Bigtable." Most problems don't need that scale
Full episode daax.ai/s/62fsvz
Externalizing what's in the weights
In this clip from our TokenDrop podcast S1E22 the team discusses how relational databases handle customers and orders just fine. New technology is needed when the goal is pulling knowledge out of an LLM's weights and querying it
Full episode at daax.ai/s/62fsvz
In this clip from our TokenDrop podcast S1E22 the team discusses how relational databases handle customers and orders just fine. New technology is needed when the goal is pulling knowledge out of an LLM's weights and querying it
Full episode at daax.ai/s/62fsvz
September 6, 2026 at 6:03 AM
Externalizing what's in the weights
In this clip from our TokenDrop podcast S1E22 the team discusses how relational databases handle customers and orders just fine. New technology is needed when the goal is pulling knowledge out of an LLM's weights and querying it
Full episode at daax.ai/s/62fsvz
In this clip from our TokenDrop podcast S1E22 the team discusses how relational databases handle customers and orders just fine. New technology is needed when the goal is pulling knowledge out of an LLM's weights and querying it
Full episode at daax.ai/s/62fsvz
Burning tokens on grep
In this clip from our TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how coding agents are running primitive tools like grep across the same codebase over and over, and companies are watching the token bill climb.
Full episode at daax.ai/s/62fsvz
In this clip from our TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how coding agents are running primitive tools like grep across the same codebase over and over, and companies are watching the token bill climb.
Full episode at daax.ai/s/62fsvz
September 5, 2026 at 2:50 PM
Burning tokens on grep
In this clip from our TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how coding agents are running primitive tools like grep across the same codebase over and over, and companies are watching the token bill climb.
Full episode at daax.ai/s/62fsvz
In this clip from our TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how coding agents are running primitive tools like grep across the same codebase over and over, and companies are watching the token bill climb.
Full episode at daax.ai/s/62fsvz
“Dog bites man" vs. “Man bites dog
In this clip from our TokenDrop podcast S1E22 we discuss that these two sentences land in nearly the same place in embedding space, so a vector search for one can return the other.
Full episode at daax.ai/podcast/epis...
In this clip from our TokenDrop podcast S1E22 we discuss that these two sentences land in nearly the same place in embedding space, so a vector search for one can return the other.
Full episode at daax.ai/podcast/epis...
September 5, 2026 at 6:28 AM
“Dog bites man" vs. “Man bites dog
In this clip from our TokenDrop podcast S1E22 we discuss that these two sentences land in nearly the same place in embedding space, so a vector search for one can return the other.
Full episode at daax.ai/podcast/epis...
In this clip from our TokenDrop podcast S1E22 we discuss that these two sentences land in nearly the same place in embedding space, so a vector search for one can return the other.
Full episode at daax.ai/podcast/epis...
Similarity isn't relevance
Sugar & diabetes sit close together in vector space because they're related, but vectors can't tell you how. In this clip from TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how a knowledge graph edge encodes the actual meaning
Full episode daax.ai/s/62fsvz
Sugar & diabetes sit close together in vector space because they're related, but vectors can't tell you how. In this clip from TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how a knowledge graph edge encodes the actual meaning
Full episode daax.ai/s/62fsvz
September 2, 2026 at 7:32 PM
Similarity isn't relevance
Sugar & diabetes sit close together in vector space because they're related, but vectors can't tell you how. In this clip from TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how a knowledge graph edge encodes the actual meaning
Full episode daax.ai/s/62fsvz
Sugar & diabetes sit close together in vector space because they're related, but vectors can't tell you how. In this clip from TokenDrop podcast S1E22 Arun Sharma of LadybugDB discusses how a knowledge graph edge encodes the actual meaning
Full episode daax.ai/s/62fsvz
In this clip from our TokenDrop podcast S1E22, Arun Sharma of LadybugDB discusses why most database engineers won't touch MMAP for buffer management.
Full episode at daax.ai/s/2ukurp
Full episode at daax.ai/s/2ukurp
September 1, 2026 at 6:05 PM
In this clip from our TokenDrop podcast S1E22, Arun Sharma of LadybugDB discusses why most database engineers won't touch MMAP for buffer management.
Full episode at daax.ai/s/2ukurp
Full episode at daax.ai/s/2ukurp
Technical Note: DaaX LAKEer and UCP Architecture
Read the DaaX blog giving a technical walkthrough of how LAKEer plugs into the Universal Commerce Protocol as a verification extension, what happens offline, what happens at query time, and why the integration surface is MCP
daax.ai/s/ybrefn
Read the DaaX blog giving a technical walkthrough of how LAKEer plugs into the Universal Commerce Protocol as a verification extension, what happens offline, what happens at query time, and why the integration surface is MCP
daax.ai/s/ybrefn
Most Trustworthy Agentic Enterprise Search
DaaX delivers the most trustworthy, precise answers from all your data, proven by benchmarks. Query in natural language. Get verified answers instantly.
daax.ai
September 1, 2026 at 1:39 AM
Technical Note: DaaX LAKEer and UCP Architecture
Read the DaaX blog giving a technical walkthrough of how LAKEer plugs into the Universal Commerce Protocol as a verification extension, what happens offline, what happens at query time, and why the integration surface is MCP
daax.ai/s/ybrefn
Read the DaaX blog giving a technical walkthrough of how LAKEer plugs into the Universal Commerce Protocol as a verification extension, what happens offline, what happens at query time, and why the integration surface is MCP
daax.ai/s/ybrefn
This week's Token Drop podcast: Why AI Agents Forget: Graph Databases and the Agent Memory Problem
Watch at daax.ai/s/62fsvz
DaaX sits down with Arun Sharma of LadybugDB, a former Linux kernel committer at Meta and ex-Google engineer, to dig into graph DBs as the foundation for agent memory
Watch at daax.ai/s/62fsvz
DaaX sits down with Arun Sharma of LadybugDB, a former Linux kernel committer at Meta and ex-Google engineer, to dig into graph DBs as the foundation for agent memory
August 29, 2026 at 3:07 PM
This week's Token Drop podcast: Why AI Agents Forget: Graph Databases and the Agent Memory Problem
Watch at daax.ai/s/62fsvz
DaaX sits down with Arun Sharma of LadybugDB, a former Linux kernel committer at Meta and ex-Google engineer, to dig into graph DBs as the foundation for agent memory
Watch at daax.ai/s/62fsvz
DaaX sits down with Arun Sharma of LadybugDB, a former Linux kernel committer at Meta and ex-Google engineer, to dig into graph DBs as the foundation for agent memory
UCP - The Seam
Some of the most expensive questions in commerce go unanswered — not because the data is missing, but because it lives on two sides of a seam. The rule is in a document. The exposure is in live data.
DaaX LAKEer and DaaX SQLer close the seam
Learn more daax.ai/s/18t5th
Some of the most expensive questions in commerce go unanswered — not because the data is missing, but because it lives on two sides of a seam. The rule is in a document. The exposure is in live data.
DaaX LAKEer and DaaX SQLer close the seam
Learn more daax.ai/s/18t5th
August 29, 2026 at 3:24 AM
UCP - The Seam
Some of the most expensive questions in commerce go unanswered — not because the data is missing, but because it lives on two sides of a seam. The rule is in a document. The exposure is in live data.
DaaX LAKEer and DaaX SQLer close the seam
Learn more daax.ai/s/18t5th
Some of the most expensive questions in commerce go unanswered — not because the data is missing, but because it lives on two sides of a seam. The rule is in a document. The exposure is in live data.
DaaX LAKEer and DaaX SQLer close the seam
Learn more daax.ai/s/18t5th
AI gives everyone answers. The edge is asking better questions.
In this clip from the DaaX Oil & Gas webinar, Dr. Tamas Nemeth shares his advice for the next generation of engineers: LLMs hand everyone the answers, so that's no longer the differentiator.
Full webinar at daax.ai/s/1jr2yi
In this clip from the DaaX Oil & Gas webinar, Dr. Tamas Nemeth shares his advice for the next generation of engineers: LLMs hand everyone the answers, so that's no longer the differentiator.
Full webinar at daax.ai/s/1jr2yi
August 25, 2026 at 4:27 PM
AI gives everyone answers. The edge is asking better questions.
In this clip from the DaaX Oil & Gas webinar, Dr. Tamas Nemeth shares his advice for the next generation of engineers: LLMs hand everyone the answers, so that's no longer the differentiator.
Full webinar at daax.ai/s/1jr2yi
In this clip from the DaaX Oil & Gas webinar, Dr. Tamas Nemeth shares his advice for the next generation of engineers: LLMs hand everyone the answers, so that's no longer the differentiator.
Full webinar at daax.ai/s/1jr2yi
Can AI actually recognize a medical emergency?
We put a popular health chatbot to the test and the results might surprise you. Always consult a real doctor or call emergency services for urgent medical situations.
This clip is from our TokenDrop S1E21. Full episode at daax.ai/s/snkole
We put a popular health chatbot to the test and the results might surprise you. Always consult a real doctor or call emergency services for urgent medical situations.
This clip is from our TokenDrop S1E21. Full episode at daax.ai/s/snkole
August 25, 2026 at 4:46 AM
Can AI actually recognize a medical emergency?
We put a popular health chatbot to the test and the results might surprise you. Always consult a real doctor or call emergency services for urgent medical situations.
This clip is from our TokenDrop S1E21. Full episode at daax.ai/s/snkole
We put a popular health chatbot to the test and the results might surprise you. Always consult a real doctor or call emergency services for urgent medical situations.
This clip is from our TokenDrop S1E21. Full episode at daax.ai/s/snkole
Energy companies sit on years of drilling reports, logs, and completion records, most of it dark data nobody can easily query
In this clip from the DaaX Oil & Gas webinar, the panel discusses chat-based access, the OSDU ontology, querying daily drilling, etc.
Full webinar daax.ai/s/1jr2yi
In this clip from the DaaX Oil & Gas webinar, the panel discusses chat-based access, the OSDU ontology, querying daily drilling, etc.
Full webinar daax.ai/s/1jr2yi
August 25, 2026 at 4:42 AM
Energy companies sit on years of drilling reports, logs, and completion records, most of it dark data nobody can easily query
In this clip from the DaaX Oil & Gas webinar, the panel discusses chat-based access, the OSDU ontology, querying daily drilling, etc.
Full webinar daax.ai/s/1jr2yi
In this clip from the DaaX Oil & Gas webinar, the panel discusses chat-based access, the OSDU ontology, querying daily drilling, etc.
Full webinar daax.ai/s/1jr2yi
UCP agents commit purchases on behalf of humans — and the current UCP stack doesn't verify that the price, warranty, or loyalty offer is factually accurate at the moment of transaction.
DaaX LAKEer sits between your agents and checkout as a pre-authorization verification layer.
daax.ai/s/18t5th
DaaX LAKEer sits between your agents and checkout as a pre-authorization verification layer.
daax.ai/s/18t5th
August 24, 2026 at 10:52 PM
UCP agents commit purchases on behalf of humans — and the current UCP stack doesn't verify that the price, warranty, or loyalty offer is factually accurate at the moment of transaction.
DaaX LAKEer sits between your agents and checkout as a pre-authorization verification layer.
daax.ai/s/18t5th
DaaX LAKEer sits between your agents and checkout as a pre-authorization verification layer.
daax.ai/s/18t5th
This week's Token Drop podcast: Domain Layers, Not Better Models
Listen at daax.ai/s/0r27t3
This episode examines Vinod Khosla's claim that layering a domain system on an LLM drives triage error to zero.
Vinod Khosla references
www.youtube.com/shorts/k32Vu...
x.com/vkhosla/stat...
Listen at daax.ai/s/0r27t3
This episode examines Vinod Khosla's claim that layering a domain system on an LLM drives triage error to zero.
Vinod Khosla references
www.youtube.com/shorts/k32Vu...
x.com/vkhosla/stat...
Most Trustworthy Agentic Enterprise Search
DaaX delivers the most trustworthy, precise answers from all your data, proven by benchmarks. Query in natural language. Get verified answers instantly.
daax.ai
August 22, 2026 at 3:33 PM
This week's Token Drop podcast: Domain Layers, Not Better Models
Listen at daax.ai/s/0r27t3
This episode examines Vinod Khosla's claim that layering a domain system on an LLM drives triage error to zero.
Vinod Khosla references
www.youtube.com/shorts/k32Vu...
x.com/vkhosla/stat...
Listen at daax.ai/s/0r27t3
This episode examines Vinod Khosla's claim that layering a domain system on an LLM drives triage error to zero.
Vinod Khosla references
www.youtube.com/shorts/k32Vu...
x.com/vkhosla/stat...
The LLM is not the library, it's the reader
One reframe from the DaaX Oil & Gas webinar that changes how you architect enterprise AI: the knowledge doesn't live inside the model. The LLM just reads knowledge stored elsewhere
Full webinar at daax.ai/s/1jr2yi
One reframe from the DaaX Oil & Gas webinar that changes how you architect enterprise AI: the knowledge doesn't live inside the model. The LLM just reads knowledge stored elsewhere
Full webinar at daax.ai/s/1jr2yi
August 21, 2026 at 7:56 PM
The LLM is not the library, it's the reader
One reframe from the DaaX Oil & Gas webinar that changes how you architect enterprise AI: the knowledge doesn't live inside the model. The LLM just reads knowledge stored elsewhere
Full webinar at daax.ai/s/1jr2yi
One reframe from the DaaX Oil & Gas webinar that changes how you architect enterprise AI: the knowledge doesn't live inside the model. The LLM just reads knowledge stored elsewhere
Full webinar at daax.ai/s/1jr2yi
UCP's Catalog capability exposes product details to shopping agents. But a typical Catalog endpoint returns flat key-value attributes (spreadsheet lookup).
DaaX LAKEer answers from semantic search. Agents asking for "compatible accessories" get reasoned answers not keyword hits
daax.ai/s/18t5th
DaaX LAKEer answers from semantic search. Agents asking for "compatible accessories" get reasoned answers not keyword hits
daax.ai/s/18t5th
August 21, 2026 at 3:57 PM
UCP's Catalog capability exposes product details to shopping agents. But a typical Catalog endpoint returns flat key-value attributes (spreadsheet lookup).
DaaX LAKEer answers from semantic search. Agents asking for "compatible accessories" get reasoned answers not keyword hits
daax.ai/s/18t5th
DaaX LAKEer answers from semantic search. Agents asking for "compatible accessories" get reasoned answers not keyword hits
daax.ai/s/18t5th
In this clip from our TokenDrop podcast S1E20 we break down why Newton's laws weren't wrong when Einstein's relativity arrived, they were simply shown to apply within a narrower scope
We use this as a jumping-off point to talk about append-only graphs
Full episode at daax.ai/s/bvms1x
We use this as a jumping-off point to talk about append-only graphs
Full episode at daax.ai/s/bvms1x
August 20, 2026 at 10:43 PM
In this clip from our TokenDrop podcast S1E20 we break down why Newton's laws weren't wrong when Einstein's relativity arrived, they were simply shown to apply within a narrower scope
We use this as a jumping-off point to talk about append-only graphs
Full episode at daax.ai/s/bvms1x
We use this as a jumping-off point to talk about append-only graphs
Full episode at daax.ai/s/bvms1x
What "mud" taught us about AI hallucinations
To an oil & gas engineer, "mud" isn't what kids play in, it's drilling slurry. That gap between everyday language and domain language is exactly where LLMs hallucinate
This DaaX webinar clip covers how to close it
Full webinar daax.ai/s/1jr2yi
To an oil & gas engineer, "mud" isn't what kids play in, it's drilling slurry. That gap between everyday language and domain language is exactly where LLMs hallucinate
This DaaX webinar clip covers how to close it
Full webinar daax.ai/s/1jr2yi
August 20, 2026 at 5:53 PM
What "mud" taught us about AI hallucinations
To an oil & gas engineer, "mud" isn't what kids play in, it's drilling slurry. That gap between everyday language and domain language is exactly where LLMs hallucinate
This DaaX webinar clip covers how to close it
Full webinar daax.ai/s/1jr2yi
To an oil & gas engineer, "mud" isn't what kids play in, it's drilling slurry. That gap between everyday language and domain language is exactly where LLMs hallucinate
This DaaX webinar clip covers how to close it
Full webinar daax.ai/s/1jr2yi