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Your Agent's Biggest Lie: "I Searched the Web" — Rafael Levi, Bright Data

index_state ready data_status ok

AI Engineer· published 2026-06-17· 0:15:48· en-US· indexed 2026-08-11 10:33

Open on YouTube

Scene timeline

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54 shot(s).

keyframes kept every frame deduplicated

What was stored

cues
241
whisperx 241
chunks
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from 241 cues
keyframes
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kept of 54 captured
frames with text
27
1,623 lines read
chapters
0
from the source metadata
keyframe bytes
6.4 MB
word timings on 241 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage state model started took
fetch done 2026-08-11 10:30 1m 08s
stt done 2026-08-11 10:31 17s
chunk done 2026-08-11 10:31 0s
text_embed done 2026-08-11 10:31 0s
keyframe done 2026-08-11 10:31 1m 26s
ocr done 2026-08-11 10:33 27s
frame_embed done 2026-08-11 10:33 4s

Frames, and what the machine read

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    30. 0.72
    31. Background1.00
    32. Layout1.00
    33. Theme1.00
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    35. The Web Is Fighting Your Agent0.99
    36. And your agent doesn't tell you it lost.0.99
    37. 1.00
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    39. AIE1.00
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    43. Blocked by Default1.00
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    45. 1.00
    46. 1.00
    47. 1.00
    48. Cloudflare blocks Al crawlers on 20%0.99
    49. of the web. No config needed by site0.99
    50. Cloudflare's Al Labyrinth feeds fake1.00
    51. content to Al agents. Your agent gets1.00
    52. 0.90
    53. owners. Your agent hits a wall before0.99
    54. it starts.1.00
    55. Plausible-looking disinformation.1.00
    56. data back - it's just not real.0.96
    57. 690.71
    58. 0.82
    59. 60%+1.00
    60. 20%1.00
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    62. FAKE1.00
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    65. to Al agents0.96
    66. bright data0.98
    67. LIVE DEMO0.99
    68. Enhance this slide X0.97
    69. 0.88
    70. TIMING: 90 seconds1.00
    71. 0.89
    72. Q Search0.98
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    76. 4/9/20260.97
    77. 11:01 AM1.00
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    4. EXPLORER1.00
    5. 02_with_mcp.py1.00
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    10. 0 .emv0.69
    11. 691.00
    12. env.example1.00
    13. 700.92
    14. 800.60
    15. 02_with_mcp.p0.99
    16. 01_without_mcp.py1.00
    17. 711.00
    18. 721.00
    19. # IDENTICAL task + systom prompt to Demo 10.97
    20. 03_live_challenge.p: C:\Users\skurg\Desktop/\Coding\Gt-Hubrightdata-hack-pack(workshop\02_with_mcp.py0.94
    21. 0.94
    22. ① README.md0.96
    23. results_comparison.md1.00
    24. requirements.txt0.98
    25. 751.00
    26. I need you to complete these 5 tasks. For each one, try your best to get0.99
    27. the data. If you can't, explain what went wrong.0.99
    28. results_without_mcp.md1.00
    29. 79 8 81 820.75
    30. 781.00
    31. PROPERTY - Get rental listings near the conference venue in London from Rightmove:1.00
    32. List at least 5 specific properties with prices.0.99
    33. https://www.rightmove.co.uk/property-to-rent/find.htm1?searchLocation=Sw1%2C+South+West+London&useLocationIdentifier=10.99
    34. 1.00
    35. COMPANY - Get the LinkedIn company profile for Mistral AI:1.00
    36. AIE1.00
    37. 1.00
    38. 831.00
    39. https://ww.linkedin.com/company/mistral-ai/0.99
    40. 1.00
    41. 3. PROFILES - Get the Instagram profile for @ylecun:0.99
    42. https://ww.instagram.com/ylecun/0.98
    43. 1.00
    44. 1.00
    45. 1.00
    46. 4.1.00
    47. PRODUCT - Get the Amazon product page for this book:0.98
    48. https://ww.amazon.com/dp/10981079691.00
    49. 5. SOCIAL - Get the TikTok profile for @google:0.97
    50. 921.00
    51. https://ww.tiktok.com/@google1.00
    52. 931.00
    53. PROBLEMS1.00
    54. OUTPUT1.00
    55. DEBUG CONSOLE1.00
    56. TERMINAL1.00
    57. PORTS1.00
    58. Filter (eg. text, lexclude Text, t.0.96
    59. Code1.00
    60. ① A git repository was found in the parent folders of the0.96
    61. ×0.84
    62. workspace or the open file(s). Would you like to open the0.99
    63. repository?0.98
    64. > OUTUINE0.89
    65. Source: Git0.98
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    72. 80.55
    73. Python 3.13.41.00
    74. Continue (NE)1.00
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    76. Search1.00
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    78. ENG1.00
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    81. 4/9/20260.95
    82. KeP0.88
    83. C0.85
    84. AlEngineer0.97
    85. EUROPE1.00
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    2. Help1.00
    3. workshop1.00
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    5. EXPLORER1.00
    6. 01_without_mcp.py×0.99
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    14. 441.00
    15. 431.00
    16. 2.1.00
    17. COMPANY - Get the LinkedIn company profile for Mistral AI:0.99
    18. https://www.linkedin.com/company/mistral-ai/0.99
    19. 02_with_mcp.py0.99
    20. 461.00
    21. ① README.md0.96
    22. 03_live_challenge.py0.97
    23. 471.00
    24. 481.00
    25. PROFILES - Get the Instagram profile for @ylecun:0.98
    26. https://www.instagram.com/ylecun/0.98
    27. 0.90
    28. results_comparison.md1.00
    29. requirements.txt0.93
    30. PROOUCT - Get the Amazon product page for this book:0.98
    31. https://ww.amazon.com/dp/10981079690.98
    32. results_without_mcp.md0.97
    33. 5. SOCIAL - Get the TikTok profile for @google:0.96
    34. https://www.tiktok.com/@google0.99
    35. 1.00
    36. After all 5 tasks, give a final scorecard: how many succeeded vs failed,0.99
    37. AIE1.00
    38. 1.00
    39. keep in mind if you found data on a different site it does not count as success.0.99
    40. 581.00
    41. 1.00
    42. 591.00
    43. 1.00
    44. 1.00
    45. 1.00
    46. PROBLEMS1.00
    47. 600.99
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    55. =-|0×0.52
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    61. browsing tool or page HTML, I can't extract at least 5 specific properties with prices.0.99
    62. 2) COMPANY - LinkedIn company profile for Mistral AI0.98
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    64. load or parse https://www.linkedin.com/company/mistral-ai/. If you can enable browsing or share the page HTML, I'll extract the1.00
    65. profile details.1.00
    66. 3) PROFILES - Instagram profile for @ylecun0.99
    67. - Failed: Instagram profile pages require login and heavy client-side rendering; without a browser tool I can't access or parse1.00
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    69. > OUTLINE0.89
    70. > TIMELINE0.98
    71. - Failed: Amazon pages are protected by bot checks and dynamic rendering; without live web access I can't retrieve https://www.amazon.0.98
    72. 4) PRODUCT - Amazon product page (ASIN: 1098107969)0.99
    73. ②0△。0.52
    74. Update is ready, click to restart.0.99
    75. Ln 40, Col 20 Spaces: 4 UTF-8 CRLF () Python Python 3.13.40.98
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    77. C0.86
    78. Q Search0.98
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    81. 11:03 AM0.97
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    84. Engineering the future of Al1.00
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    11. env.example0.99
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    21. 831.00
    22. 841.00
    23. 851.00
    24. 3. PROFILES - Get the Instagram profile for @ylecun:1.00
    25. 2.1.00
    26. cOMPANY - Get the LinkedIn company profile for Mistral AI:0.99
    27. https://www.linkedin.com/company/mistral-ai/0.99
    28. 0.83
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    35. Code1.00
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    38. Prevlew: [i"id":"mistralal","name":"Mistral Al","countrycode":"rK","1ocatlons":["Parls, trance /5vle, rK"」,"rollowers":62zsy1,0.87
    39. "employeesinlinkedin":970,"about": "Frontier AI. In your hands. We believe in a futu...0.98
    40. *★★0.52
    41. 1.00
    42. AIE1.00
    43. 1.00
    44. BRIGHT DATA MCP: web_data_instagram_profiles0.99
    45. Args: {"ur1": "https://ww.instagran.com/ylecun/"}0.96
    46. 1.00
    47. Result: SUCCESS 3,268 chars0.99
    48. Preview: [("account":"ylecun","fbid":"17841401555783297","id":"851059859","followers":2716,"postscount":3,"isbusinessaccount":false,1.00
    49. 2.6s1.00
    50. 1.00
    51. 1.00
    52. 1.00
    53. "isprofessionalaccount":false,"isverified":false,"avgengagement":0.0384,"exte...1.00
    54. BRIGHT DATA MCP: web_data_amazon_product1.00
    55. Args: {"ur1": "https://ww.amazon.com/dp/1098107969"}0.98
    56. Result: SUCCESS | 12,971 chars | 8.5s0.98
    57. "sellername":"Amazon.com","brand":"Chip Huyen","description":"Machine learning systems are both c...0.99
    58. BRIGHT DATA MCP: web_data_tiktok_profiles1.00
    59. Args: {"ur1": "https://ww.tiktok.com/@google"}0.97
    60. Result: SUCCESS | 28,912 chars | 17.9s0.98
    61. Preview: [("accountid":"google","nickname": "Google","biography":"Here to help","awgengagementrate":0.0e29e37617554858934,0.98
    62. "commentengagementrate":0.00004966562173458725,"1ikeengagementrate":0.002854096133751306...0.99
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    65. Step 2: Calling GPT...1.00
    66. y0.67
    67. ②0△。0.56
    68. Update is ready, click to restart.1.00
    69. Ln 89, Col 38 Spaces: 4 UTF-8 CRLF () Python0.98
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    shot 21·sharpness 2466.9

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  • 7:51 #23 done

    shot 23·sharpness 936.9

The page's on-screen-text budget of 600 lines is spent, so the last cards in this grid list fewer lines than they hold. Narrow the page with ?frames= to read them.

Transcript

241 cues· 2,511 words· 13,077 chars

  1. 0:15 OK, so let's just work with it like this, a small room.
  2. 0:19 Hi, everybody.
  3. 0:19 Welcome.
  4. 0:20 My name is Rafael.
  5. 0:22 I represent Bright Data.
  6. 0:24 Bright Data is basically a web access platform to help agents or anybody collect public data on scale.
  7. 0:31 And I'm here to talk about the LLMs, misleading people, and all the time convincing them, hey, I did a search.
  8. 0:37 Hey, I did this.
  9. 0:39 while it didn't.
  10. 0:40 Why?
  11. 0:40 Because LLMs are programmed to please people, please users, so they're making up things.
  12. 0:44 And this is the biggest issue right now I'm seeing with LLMs.
  13. 0:48 I'm building applications all the time.
  14. 0:50 I would rather LLM tell me, no, I can't.
  15. 0:52 But it never does.
  16. 0:53 It always tries to make things up.
  17. 0:55 So currently, the web is actually fighting the robots and automations.
  18. 0:59 And it's been something that's going on for years.
  19. 1:02 Everybody knows captures.
  20. 1:04 The first captures showed up a decade ago.
  21. 1:08 And it just keeps growing.
  22. 1:10 And now we have AI blocking AI.
  23. 1:12 And there's a whole world going on.
  24. 1:13 And the web access is actually not as simple as it looks.
  25. 1:17 So they're getting CAPTCHAs, and they don't actually report CAPTCHAs.
  26. 1:22 So it tries to go and find the data a different way.
  27. 1:25 Sometimes it goes into training data, and this is where the worst thing is, when it uses training data and tells you that this is the current situation.
  28. 1:34 Training data is from 2024, we're in 2026, and it doesn't add up, right?
  29. 1:41 These are some of the new things that I was just literally checking out.
  30. 1:44 So Cloudflare blocks AI crawling for about 20% of the web.
  31. 1:47 So 20% of the web is literally not accessible by AI by default fetch that's built into it.
  32. 1:53 And Cloudflare also right now released an AI labyrinth to actually trap bots and mislead them and provide to them fake data.
  33. 2:01 So then your results are getting even worse.
  34. 2:07 So the invisible failure route, right?
  35. 2:08 There's no error, no warning, just wrong answer, right?
  36. 2:11 So the agent sends the request.
  37. 2:13 It gets a capture.
  38. 2:15 Even an empty page, it doesn't tell you, hey, I got an empty page.
  39. 2:19 It will try to make up something.
  40. 2:20 And this is where the most of hallucinations come from, the need to please and lack of data.
  41. 2:26 So it literally makes things up.
  42. 2:27 I've seen it literally make numbers up, provide fake citations.
  43. 2:30 You click on the citation.
  44. 2:31 It's a 404.
  45. 2:32 The page doesn't exist.
  46. 2:33 And I'm sure all of you have seen
  47. 2:35 I've seen that happening recently.
  48. 2:38 I mean, literally, 60% of citations on ChatGPT is not working.
  49. 2:43 How many of you have tried to purchase a product?
  50. 2:45 Hey, find me this product online.

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