diff --git a/lm-hackers.ipynb b/lm-hackers.ipynb
index 12795c1..50a7972 100644
--- a/lm-hackers.ipynb
+++ b/lm-hackers.ipynb
@@ -424,7 +424,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from openai import ChatCompletion,Completion"
+    "from openai import OpenAI # New OpenAI api\n",
+    "client = OpenAI() # Uses default api key"
    ]
   },
   {
@@ -436,7 +437,7 @@
    "source": [
     "aussie_sys = \"You are an Aussie LLM that uses Aussie slang and analogies whenever possible.\"\n",
     "\n",
-    "c = ChatCompletion.create(\n",
+    "c = client.chat.completions.create(\n",
     "    model=\"gpt-3.5-turbo\",\n",
     "    messages=[{\"role\": \"system\", \"content\": aussie_sys},\n",
     "              {\"role\": \"user\", \"content\": \"What is money?\"}])"
@@ -468,7 +469,7 @@
     }
    ],
    "source": [
-    "c['choices'][0]['message']['content']"
+    "c.choices[0].message.content"
    ]
   },
   {
@@ -478,7 +479,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from fastcore.utils import nested_idx"
+    "#from fastcore.utils import nested_idx"
    ]
   },
   {
@@ -488,7 +489,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "def response(compl): print(nested_idx(compl, 'choices', 0, 'message', 'content'))"
+    "def response(compl): print(c.choices[0].message.content)"
    ]
   },
   {
@@ -580,7 +581,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "c = ChatCompletion.create(\n",
+    "c = client.chat.completions.create( \n",
     "    model=\"gpt-3.5-turbo\",\n",
     "    messages=[{\"role\": \"system\", \"content\": aussie_sys},\n",
     "              {\"role\": \"user\", \"content\": \"What is money?\"},\n",
@@ -617,7 +618,7 @@
     "    msgs = []\n",
     "    if system: msgs.append({\"role\": \"system\", \"content\": system})\n",
     "    msgs.append({\"role\": \"user\", \"content\": user})\n",
-    "    return ChatCompletion.create(model=model, messages=msgs, **kwargs)"
+    "    return client.chat.completions.create(model=model, messages=msgs, **kwargs)"
    ]
   },
   {
@@ -657,7 +658,7 @@
    "source": [
     "def call_api(prompt, model=\"gpt-3.5-turbo\"):\n",
     "    msgs = [{\"role\": \"user\", \"content\": prompt}]\n",
-    "    try: return ChatCompletion.create(model=model, messages=msgs)\n",
+    "    try: return client.chat.completions.create(model=model, messages=msgs)\n",
     "    except openai.error.RateLimitError as e:\n",
     "        retry_after = int(e.headers.get(\"retry-after\", 60))\n",
     "        print(f\"Rate limit exceeded, waiting for {retry_after} seconds...\")\n",
@@ -713,8 +714,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "c = Completion.create(prompt=\"Australian Jeremy Howard is \",\n",
-    "                      model=\"gpt-3.5-turbo-instruct\", echo=True, logprobs=5)"
+    "c = client.completions.create(prompt=\"Australian Jeremy Howard is \",\n",
+    "                      model=\"gpt-3.5-turbo-instruct\", echo=False, logprobs=5)"
    ]
   },
   {
@@ -1015,7 +1016,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "c = ChatCompletion.create(\n",
+    "c = client.chat.completions.create(\n",
     "    model=\"gpt-3.5-turbo\",\n",
     "    functions=[schema(python)],\n",
     "    messages=[{\"role\": \"user\", \"content\": \"What is 12 factorial?\"},\n",